Refine your search
Co-Authors
- Manish Borana
- Devendra Singh
- Rajendra Manda
- Mohammad Sabir
- Rajendra Sharma
- Ramesh Choudhary
- Shiv Raj
- Shubham Shukla
- Birbal Bairwa
- Rohit Kumar
- Anchal Chasta
- Pankaj Prajapat
- Manisha Kumari Gour
- K. Hanumantha Rao
- Pawan Kumar Patidar
- Pawan Kumar
- Tekchand Chhaba
- Govind Parashar
- Ravi Shanker Meena
- Mukesh Kumar
Journals
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Jat, Bhanwar Lal
- Production Potential of [Glycine max (L.) Merrill] under Different Weed Management Practices
Abstract Views :187 |
PDF Views:1
Authors
Affiliations
1 Department of Agriculture, Bhagwant University, Ajmer (Rajasthan), IN
2 Department of Agricultural Biotechnology, Bhagwant University, Ajmer (Rajasthan), IN
1 Department of Agriculture, Bhagwant University, Ajmer (Rajasthan), IN
2 Department of Agricultural Biotechnology, Bhagwant University, Ajmer (Rajasthan), IN
Source
The Asian Journal of Horticulture, Vol 12, No 1 (2017), Pagination: 1-21Abstract
The results of experiment reveal that pre-emergence application of pendimethalin 0.75kg ha-1 + hand weeding 30 DAS resulted the lowest density of monocot (3.41m-2), dicot (3.15m-2) and total weeds (4.59m-2) 50DAS compared to weedy check (6.80, 6.01 and 9.05am-2), respectively. Integration of pre-emergence herbicides with hand weeding or their sequential use with post-emergence herbicides was found significantly superior in controlling the weed density 50DAS compared to their corresponding application alone. All the weed control treatments were also found significantly superior in reducing dry matter of monocot; dicot and total weeds compared to weedy check 75DAS. Minimum total weed dry matter 75DAS was observed under weed free (146kg ha-1) closely followed by pre-emergence application of pendimethalin 0.75kg ha-1 + hand weeding 30DAS (431.7kg ha-1) compared to weedy check (1884.5kg ha-1). Weed control efficiency 75DAS observed maximum under weed free treatment in which crop was kept weed free upto 50 days (92.18%) which is closely followed by pre-emergence application of pendimethalin 0.75kg ha-1 + hand weeding 30DAS (76.96%) and weed index was also recorded the lowest under pre-emergence application of pendimethalin 0.75kg ha-1 + hand weeding 30DAS (3.17%). Uptake of N and P by weeds at harvest was found significantly lower with all the weed control treatments compared to weedy check. The minimum uptake of N (2.78kg ha-1) and P (0.40kg ha-1) was recorded with weed free treatment closely followed by pre-emergence application of pendimethalin 0.75kg ha-1 + hand weeding 30DAS with the respective uptake values as 8.17 and 1.18kg ha-1. All the weed control treatments significantly tended to increase plant height, dry matter accumulation, branches plant-1 and leaf area of soybean over weedy check. Weed free treatment recorded the highest plant dry matter (32.20g plant-1) at harvest closely followed by pre-emergence application of pendimethalin 0.75kg ha-1 + hand weeding 30DAS (31.05g plant-1) and two hand weeding (30.65g plant-1). Weed free treatment recorded maximum number of branch plant-1, number of pods plant-1, pod length and seed index which was closely followed by pre-emergence application of pendimethalin 0.75kg ha-1 + hand weeding 30DAS and these treatments were found statistically at par to each other in this regard. Weed free upto 50 days treatment resulted in maximum seed yield (1421kg ha-1) which was statistically at par with pre-emergence application of pendimethalin 0.75kg ha-1 + hand weeding 30 DAS (1376kg ha-1) and two hand weeding 15 and 30DAS (1321kg ha-1). A like seed yield, haulm yield (3100kg ha-1), biological yield (4521kg ha-1) and harvest index (31.43%) were also recorded maximum under weed free treatment which were closely followed by pendimethalin 0.75kg ha-1 PE + hand weeding 30DAS. The maximum uptake of total nitrogen (143.78kg ha-1) and phosphorus (15.63kg ha-1) by the crop was significantly more in weed free check closely followed by pre-emergence application of pendimethalin 0.75kg ha-1 + hand weeding 30DAS and these treatments were found statistically at par to each other in this regard and the minimum being recorded under weedy check with the respective value of 52.32 and 5.64kg ha-1. Both net return (Rs.29508 ha-1) and benefit cost ratio (2.38) were also obtained maximum under pre-emergent pendimethalin 0.75kg ha-1 + hand weeding 30DAS closely followed by two hand weeding 15 and 30DAS with the respective net return and BC ratio of Rs. 27244 and 2.26.Keywords
CGR, RGR, LAI, NAR, DAS.References
- Angiras, N.N. Rana, S.S. and Thakur, A.S. (2008). Evaluation of dose of some herbicides to manage weeds in soybean [Glycine max (L.) Merrill]. Indian J. Weed Sci., 40: 56-61.
- Aron, D. (1949). Copper enzymes isolated chloroplasts, polyphenoloxidase in Beta vulgaris. Plant Physiol., 24: 1-15.
- Black, C.A. (1965). Methods of soil analysis, Part II, American Soci. of Agroninc. Pub. No: 9 Madison WI. USA.
- Bouyoucos, G.J. (1962). Hydrometer method improved for making particle size analysis of soils. Agron. J., 54: 464-465. http://dx.doi.org/10.2134/agronj1962.00021962005400050028x.
- Brady, M. (1983). Criteria for representations of shape. In: Beck, J., Hope, B. and Kosenfeld, A. (Ed.) IIuman and Machine Vision New York: Academic Press, 39-84 pp.
- Dhaker, S.C., Mundra, S.L. and Nepalia, V. (2010). Effect of weed management and sulphur nutrition on productivity of soybean. Indian J. Weed Sci., 42: 232-234.
- Jackson, M.L. (1967). Soil chemical analysis. Prentice Hall of India, Pvt. Ltd., New Delhi, India, 498 p.
- Jha, A.K. and Soni, M. (2013). Weed management by sowing methods and herbicide in soybean. Indian J. Weed Sci., 45: 250-252.
- Kumar, M. and Das, T.K. (2008). Integrated weed management for system productivity and economics in soybean (Glycine max)-wheat (Teiticum aestivum) cropping system. Indian J. Agron., 36: 189-194.
- Meena, D.S. and Jadon, Chaman (2009). Effect of integrated weed management on growth and yield of soybean (Glycine max). Curr. Adv. Agric. Sci., 1: 50-51.
- Meena, D.S., Ram, Beldev, Jadon, Chaman and Tetarwal, J.P. (2011). Efficacy of imazethaypr on weed management in soybean. Indian J. Weed Sci., 43: 169-171.
- Olsen, S.R., Cole, C.V., Watanabe, F.S. and Dean, L.A. (1954). Estimation of available P in soil by extraction with sodium bicarbonate. Circ. Irs Dep. Agric., 939.
- Piper, C. S. (1950). Soil and plant analysis, The University of Adelaide Press, Adelaide, Australia, 368 p.
- Priya, G., Thomas, Rajkannan, G. B. and Jayakumar, R. (2009). Efficacy of weeds control practices in soybean crop production. Indian J. Weed Sci., 41: 58-64.
- Redford, P.J. (1967). Growth analysis formulae their use and abuse. Crop Sci., 7: 171.
- Richards, L.A. (1968). Diagnosis and improvement of saline and alkaline soils. Hand Book No. 60, USDA, Washington, D.C., USA.
- Singh, P., Nepalia, V. and Tomar, S.S. (2006). Effect of weed control and nutrient management on soybean (Glycine max) productivity. Indian J. Agron., 51: 314-317.
- Singh P. and Kumar, R. (2008). Agro-economics feasibility of weed management in soybean grown in vertisols of southeastern Rajasthan. Indian J. Weed Sci., 40: 62-64.
- Vyas, M.D. and Kushwah, S.S. (2008). Effect of cultural and chemical methods on growth and yield of soybean in Vindhynagar plateau of Madhya Pradesh. Indian J. Weed Sci., 40: 92-94.
- Walkley, A. and Black, Z.A. (1947). Rapid titration method for organic carbon of soils. Soil Sci., 37: 29-32.
- Watson D.J. (1947). Comparative physiological studies in the growth of field crops. I. Variation in net assimilation rate and leaf area between species and varieties, and within and between years. Annl. Botany, 11: 41-76.
- Triticum aestivum L. Varietal Accession Evaluation under Low Fertility and Two Irrigations
Abstract Views :340 |
PDF Views:1
Authors
Affiliations
1 Department of Agriculture, Bhagwant University, Ajmer (Rajasthan), IN
2 Department of Agricultural Biotechnology, Bhagwant University, Ajmer (Rajasthan), IN
1 Department of Agriculture, Bhagwant University, Ajmer (Rajasthan), IN
2 Department of Agricultural Biotechnology, Bhagwant University, Ajmer (Rajasthan), IN
Source
The Asian Journal of Horticulture, Vol 12, No 1 (2017), Pagination: 63-74Abstract
The experiment consisted of 9 treatments viz., T0 (DBW-17), T1 (Raj 3077), T2 (HD 2967), T3 (Lok-1), T4 (Raj 1482), T5 (Raj 4120), T6 (K-65) T7 (HD 2967), T8(PBW-343) laid out in Randomized Block Design with three replications. The study showed that Lok-1 variety gave highest grain yield (2.76t ha-1), harvest index (31.15%), highest net income (Rs. 110,000.7 ha-1) and benefit: cost (3.74) then the rest of the varieties. The plant height was found to be the highest under the treatment T3 (Lok-1) at 30, 60 and 90DAS the differences were statistically significant. Treatment T1 (Raj 3077) recorded significantly higher number of effective tillers per meter square than all the other treatments, while the lowest number of effective tillers per meter squarewas recorded for the treatment T3 (Lok-1). The spike length was recorded to be highest under the treatment T3 (Lok-1) which was significantly higher than all these other treatments, while the lowest spike length was recorded under the treatment T5 (Raj 4120). Number of grains spike-1 was recorded to be highest under the treatment T6 (K-65), while the lowest grains spike-1 was recorded under the treatment T0 (DBW-17). Treatment T2 (HD2967) recorded significantly higher test weight than all the other treatments, while the lowest test weight was recorded under the treatment T8 (PBW-343). The highest grain yield was recorded under the treatment T3 (Lok-1), while the lowest grain yield was recorded in treatment T0 (DBW-343) and the differences were statistically non-significant.Keywords
CGR, MOP, RGR, SSR, Harvest Index, NS.References
- Abdul, Aziz Khakwani, Dennett, M.D., Munir, M. and Abid, M. (2012). Growth and yield response of wheat varieties to water stress. Pak. J. Bot., 44(3): 879-886.
- Ajit, S., Nehra, Hooda, I.S. and Singh, K.P. (2001). Effect of integrated nutrient management on growth and yield of wheat (Triticum aestivum). Indian J. Agron., 46(1): 112-117.
- Bhunia, S.R. and Singh, V. (2000). Scheduling of irrigation to wheat (Triticum aestivum) under shallow water table conditions. Indian J. Agric. Sci., 70(7): 494-495.
- Chaturvedi, I. (2006). Effects of different nitrogen levels on growth, yield and nutrient uptake of wheat (Triticum aestivum L.) Int. J. Agric. Sci., 2(2): 372-374.
- Dewal, G.S. and Pareek, R.G. (2004). Effect of phosphorus, sulphur and zinc on growth, yield and nutrient uptake of wheat (Triticum aestivum). Indian J. Agron., 49(3): 160-162.
- Dhaka, A.K., Bangarwa, A.S., Pannu, R.K., Garg and Ramprakash (2007). Effect of irrigation levels on consumptive water use soil moisture extraction pattern and water use efficiency of different wheat genotypes. Indian J. Agric. Res., 41(3): 220-223.
- Donald, C.M. (1962). In search of yield. J. Aust. Inst. Agric. Sci., 28: 171-178.
- Fisher, R.A. (1921). On the ‘probable error’ of a coefficient deduced from a small sample. Metron, 1: 2-32.
- Fisher, R.A. (1950). Statistical methods for research workers, Oliver and Boyd. Edinburg, London, UNITED KINGDOM
- Kaur, Pannu R.K. (2008). Effect of sowing time and nitrogen schedules on phenology, yield and thermal-use efficiency of wheat (Triticum aestivum). Indian J. Agric. Sci., 78(4): 366-369.
- Kaur, Pannu R.K. and Buttar, G.S. (2010). Impact of nitrogen application on the performance of wheat (Triticum aestivum) and nitrogen use efficiency under different dates of sowing. Indian J. Agron., 55(1): 40-45.
- Kumar, M., Sheoran, P. and Yadav, A. (2010). Productivity potential of wheat (Triticum aestivum) in relation to different planting methods and nitrogen management strategies. Indian J. Agric. Sci., 80(5): 427-429.
- Maurya, Prakash, Kumar, Vinay, Maurya, K. K., Kumawat, Narendra, Kumar, Rakesh and Yadav, M.P. (2014). Effect of potassium application on growth and yield of wheat varieties. Bioscan, 9(4): 1371-1373.
- Mishra, A.K. and Tripathi, P. (2010). Effect of irrigation frequencies on yield and water use efficiency of wheat varieties. Pantnagar J. Res., 8(1): 1-4. 10 ref. AN: 20113047509.
- Saren, B.K. and Jana, P.K. (2001). Effect of depth of irrigation and level and time of nitrogen application on growth, yield and nutrient uptake by wheat (Triticum aestivum). Indian J. Agron., 46(2): 227-232.
- Sarma, A., Singh, H., Pannu, R.K., Nanwal, R.K. and Singh, K.P. (2006). Effect of integrated nutrient management on yield and nutrient uptake in wheat [Triticum aestivum (L.) Emend. Fiori & Paol.] under adequate and limited irrigation. Haryana J. Agron., 22(1): 1-4.
- Sarma, A., Singh, H., Pannu, R.K., Nanwal, R.K. and Singh, K.P. (2007). Effect of integrated nutrient management on grain yield, consumptive water use and water-use efficiency of wheat [Triticum aestivum(L.) Emend Fiorie Paol] under adequate and limited water supply. Haryana J. Agron., 23(1&2): 1-5.
- Sarwar, N., Maqsood, M., Mubeen, K., Shehzad, M., Bhullar, M.S., Qamar, R. and Akbar, N. (2010). Effect of different levels of irrigation on yield and yield components of wheat cultivars. Pak. J. Agri. Sci., 47(3): 371-374.
- Sharma, P.K., Yadav, G.L., Sharma, B.L. and Kumar, S. (2000). Response of wheat (Triticum aestivum) to nitrogen and zinc fertilization. Indian J. Agron., 45(1): 124-127.
- Shivani, Verma, U.N., Pal, S.K., Thakur, R. and Kumar, S. (2001). Production potential and water-use efficiency of wheat cultivars under different dates of seeding and irrigation levels. Indian J. Agron., 46(4): 659-664.
- Singh, R. and Agarwal, S.K. (2001). Growth and yield of wheat (Triticum aestivum) as influenced by levels of farmyard manure and nitrogen. Indian J. Agric. Sci., 46(3): 462-467.
- Study of Morphological and Molecular Characterization of Garlic (Allium sativum L.)
Abstract Views :192 |
PDF Views:1
Authors
Affiliations
1 Department of Agricultural Biotechnology, Bhagwant University, Ajmer (Rajasthan), IN
2 Department of Agriculture, Bhagwant University, Ajmer (Rajasthan), IN
1 Department of Agricultural Biotechnology, Bhagwant University, Ajmer (Rajasthan), IN
2 Department of Agriculture, Bhagwant University, Ajmer (Rajasthan), IN
Source
The Asian Journal of Horticulture, Vol 12, No 1 (2017), Pagination: 141-159Abstract
Genotypic and phenotypic co-efficients of variation were high for average weight of clove, yield per plant, cloves per bulb and plant height. Width of clove, plant height and length of leaves, yield per plant, cloves per bulb, average weight of clove exhibited high heritability coupled with high genetic advance as per cent of mean. These characters are governed by additive gene effects. It was also concluded that selection on the basis of these characters will be more useful for the improvement of this crop towards attaining higher yield. Correlation co-efficient studies showed that phenotypic correlation co-efficients are higher than genotypic correlation which indicates the inherent association among the characters dependent of environment influence. Yield per plant had a positive and highly significant correlation with plant height, length of leaves, average weight of clove, equatorial diameter, polar diameter and clove/bulb which implies that these characters were contributing to bulb weight and bulb yield/plant. All the combination of traits should be considered while selecting for high yielding genotypes. Improvement of bulb weight per plant may be achieved by exercising direct selection of plant height, length of leaves, weight of cloves, equatorial diameter of bulb, clove weight, number of cloves per bulb, polar diameter of bulb and clove length as these exhibited significant positive direct effect on bulb weight per plant coupled with high heritability and high genetic advance as per cent of mean. Characters had correlation co-efficient value at par with their direct effect on bulb yield per hectare. In Mahalanobis D2 analysis, On the basis of Mahalanobis D2 values, all the 27 genotypes were grouped under study were grouped into six clusters. Cluster III (8), cluster V (6) and cluster VI (6) contained maximum number of genotypes and cluster I (4) and cluster II (2) comprising minimum number of genotypes and cluster IV contained single genotype.Keywords
PCR, SSR, Cluster, EDB, Genotype, Phenotype.References
- Agrawal, A. and Tiwari, R.S. (2009). Character association and path analysis in garlic (Allium sativum L.). Veg. Sci., 36(1): 69-73.
- Burton, G.K. and Devane, E.M. (1953). Estimating heritability in tall fescue (Festuca arundinacea) from raplicated clonal material. Agron. J., 45: 478-481.
- Chattopadhyay, M.K., Park, M.H. and, Tabor H. (2008). Hypusine modification for growth is the major function of spermidine in Saccharomyces cerevisiae polyamine auxotrophs grown in limiting spermidine. Proc. Natl. Acad. Sci. U S A, 105(18): 6554-6559.
- Comstock, R.E. and Robinson, H.F. (1952). Estimation of average dominance of genes. In: Heterosis. Iowa State College Press, Ames: 494-516.
- Cunha, C.P., Hoogerheide, E.S., Zucchi, M.I., Monteiro, M. and Pinheiro, J.B. (2012). New microsatellite markers for garlic. Am. J. Bot., 99: 17-19.
- Dewey, D.R. and Lu, K.H. (1959). A correlation and path co-efficient analysis of components of crested wheatgrass seed production. Agron. J., 51: 515-518.
- Doyle, L.W., Crowther, C.A., Middleton, P. and Marret, S. (2009). Antenatal magnesium sulfate and neurologic outcome in preterm infants. Obstet. Gynecol., 113: 1327-1333.
- Jabeen, N., Khan, S.H., Chattoo, M.A., Mufti, S. and Hussain, K. (2010). Genetic variability for various traits in garlic (Allium sativum L.). Indian J. Arecanut, Spices & Medicinal Plants, 12(1): 13-17.
- Johnson, H.W., Robinson, H.F. and Comstock, R.E. (1955). Estimates of genetic and environmental variability in soyabean. Agron. J., 5: 314-318.
- Lush, J.L.(1940). Intro-site correlation and regression of off spring on corn as a method of estimating heritability of characters. Proc. Amer. Soc. Animal Prodn., 33: 293-301.
- Mahalanobis, P. C. (1928). A statistical study at chinese head measurement. J. Asiatic Soc. Bengal., 25: 301-377.
- Patil, B.T., Bhalekar, M.N. and Shinde, K.G. (2013). Genetic divergence in garlic (Allium sativum L.). J. Agric. Res. & Tech., 38(2): 218-221.
- Sengupta, S.K. and Dwivedi, Y.C. (2007). Variation in morphological components of growth and production of garlic varieties in the condition of Madhya Pradesh, JNKVV. Res. J., 41(2): 224-227.
- Singh, L., Veenu, K. and Gohil, R.N. (2014). Analysis of morphological variability in the Indian germplasm of (Allium sativum L.). Plant Systemat. & Evolution, 300(2): 245-254.
- Singh, R.K., Dubey, B.K. and Gupta, R.P. (2012). Studies on variability and genetic divergence in elite lines of garlic (Allium sativum L.). J. Spices & Aromatic Crop, 21(2): 136-144.
- Singh, R.K., Dubey, B.K. and Gupta, R.P. (2013). Intra and inter cluster studies for quantitative traits in garlic (Allium sativum L). SAARC J. Agric., 11(2): 61-67.
- Sivasubramanian, S. and Menon, P.M. (1973). Genotypic and phenotypic variability in rice. Madras Agric. J., 60(9-13): 1093-1096.
- Tsiaganis, M.C., Laskari, K. and Melissari, E. (2006). Fatty acid composition of Allium species lipids. J. Food Composit. & Anal., 19: 620-627.
- Vatsyayan, S., Brar, P.S. and Dhall, R.K. (2013). Genetic variability studies in garlic (Allium sativum L). Ann. Hort., 6(2): 315-320.
- Wright, S. (1921). Correlation and causation. J. Agric. Res., 20: 557-585.
- Effect of Nitrogen and Zinc Fertilization on Growth and Productivity of Maize
Abstract Views :267 |
PDF Views:0
Authors
Affiliations
1 Department of Agriculture, Bhagwant University, Ajmer (Rajasthan), IN
2 Department of Agricultural Biotechnology, Bhagwant University, Ajmer (Rajasthan), IN
1 Department of Agriculture, Bhagwant University, Ajmer (Rajasthan), IN
2 Department of Agricultural Biotechnology, Bhagwant University, Ajmer (Rajasthan), IN
Source
International Journal of Agricultural Sciences, Vol 13, No 2 (2017), Pagination: 161-176Abstract
The experiment consisted of 12 treatments combinations comprising 4 nitrogen levels (60, 80, 100 and 120kg ha-1) and 3 zinc levels (2.5, 5.0 and 7.5kg ha-1). The experiment was laid out in Factorial Randomized Block Design with four replications. The experimental soil was clay loam in texture, slightly alkaline in reaction, medium in available nitrogen (275.0kg ha-1) and phosphorus (20.21kg ha-1) and potassium (280.5kg ha-1) and low in available zinc (0.49ppm). The crop was shown on 9.7.2011 using variety PEHM-2 with recommended seed rate of 25kg ha-1. The results revealed that application of N upto 100kg ha-1 recorded significantly higher plant height (50, 75DAS and at harvest), dry matter accumulation and leaf area index at all the growth stages over 60 and 80kg N ha-1. Likewise, application of N upto 100kg ha-1 was found significantly superior in increasing RGR and NAR between 25 and 50 days compared to 60kg N ha-1. Application of 100 and 120kg N ha-1 statistically at par were found significantly superior in increasing cob plant-1, grain cob-1, grain weight cob-1, 100 grains weight and shelling per cent over 60 and 80kg N ha-1. Application of 80 and 100kg N ha-1 significantly increased grain; stover, biological yield and harvest index over 60kg N ha-1. The per cent increase in grain, stover and biological yields due to 100kg N ha-1 was 39.03, 23.43 and 28.89, respectively compared to 60kg N ha-1. A significant increase in N, P and Zn content and their uptake was recorded under the application of 80, 100 and 120kg N ha-1 compared to 60kg N ha-1 but 120kg N ha-1 was found statistically at par with 100kg N ha-1. Protein content in grain and chlorophyll in leaves increased significantly with successive increase in nitrogen doses upto 100kg ha-1.Keywords
RGR, NAR, DAS, LAI, Maize.References
- Abbasi, M.K., Tahir, M.M., Sadiq, A., Iqbal, M. and Zafar, M. (2012). Yield and nitrogen use efficiency of rainfed maize response to splitting and nitrogenrates in Kashmir, Pakistan Agron. J., 104 : 448-457.
- Aftab, W., Abdul, G., Maqsood, M., Hussain, K. and Nasim, W. (2007). Yield response of maize hybrids to varying nitrogen rates. Pakistan J. Agric. Sci., 44:217-220.
- Aydin, M., Demiral, M.A. and Kaptan, M.A. (2006). Effect of zinc on growth, nutrition competition and antioxidative enzyme activities of maize as influenced by phosphorus. Internat. J. Biol. & Biotechnol., 3:411-417.
- Badiyala, Dinesh and Chopra, Pankaj (2011). Effect of zinc and FYM on productivity and nutrient availability in maize-linseed cropping sequence. Indian J. Agron.,56: 88-91.
- Bidhani, A., Barik, K.C., Garnayak, L.M. and Mahapatra, P.K. (2008). Productivity and nitrogen use efficiency of baby corn (Zea mays) at different levels and timing of nitrogen application under rainfed conditions. Indian J. Agric. Sci., 78 : 629-631.
- Cakmak, I. (2008). Enrichment of cereal grains with zinc: Agronomic or genetic biofortification? Plant & Soil, 302 : 1-17.
- Chaab, A., Savaghebi, G. R. and Motesharezadeh, B. (2011). Differences in the zinc efficiency among and within maize (Zea mays L.) cultivars in a calcareous soil. Asian J. Agric. Sci., 3: 26-31.
- Channakeshava, B.C., Ramaprasanna, K.P. and Ramachandrappa, B.K. (2007). Effect of plant growth regulators and micronutrients on growth components and seed yield in African tall fodder maize (Zea mays L.). Agric. Sci Digest, 27: 38-40.
- Choudhary, M.L., Singh, A. and Parihar, C.M. (2007). Forage production potential of maize (Zea mays) under different nitrogen levels and crop geometry. Agron. Digest, 7:17-18.
- Dwivedi, S.K., Singh, R.S. and Dwivedi, K.N. (2002).Effect of sulphur and zinc nutrition on yield and quality of maize in typic ustochrept soil of Kanpur. J. Indian Soc. Soil Sci., 50 (1): 70-74.
- El-Badawy, M.El.M. and Mehasen, S.A.S. (2011). Multivariate analysis for yield and its components in maize under zinc and nitrogen fertilization levels. Australian J. Basic & Appl. Sci., 5 : 3008-3015.
- El-Gizawy, N.Kh.B. and Salem, H.M. (2010). Influence of nitrogen sources on yield and its components of some maize varieties.World J. Agric. Sci., 6:218-223.
- Farshid, A. (2011). Zinc and boron content by maize leaves from soil and foliar application of zinc sulphate and boric acid in zinc and boron deficient soils. Middle-East J. Scient. Res., 7 : 610-618.
- Hammad, H.M., Ahmad, A., Khaliq, T., Farhad, W. and Muhammad, M. (2011).Optimizing rate of nitrogen application for higher yield and quality in maize under semiarid environment. Crop and Environ., 2: 38-41.
- Honi, A.E., Muna, A.H. and Eltan, E.A. (2006).Effect of nitrogen and phosphorus fertilization on growth, yield and quality of forage maize (Zea mays L.). J. Agron., 5 : 515-518.
- Hossain, M.A., Jahiruddin, M. and Khatun, F. (2011). Response of maize (Zea mays L.) varieties to zinc fertilization. Bangladesh J. Agric. Res., 36: 437-447.
- Hosseini, S.M., MaIoun, M., Karimian, N., Rounaghi, A. and Emam, Y. (2007). ECect of zinc and boron interaction on plant growth and tissue nutrient concentration of corn. J. Plant Nutr., 30:773-781.
- Hussaini, M.A., Ogunlela, V.B., Ramalan A.A. and Falaki, A.M. (2008). Mineral composition of dry season maize (Zea mays L.) in response to varying levels of nitrogen, phosphorus and irrigation at Kadawa, Nigeria. World J. Agric. Sci., 4: 775-780.
- Ibrahim, S. A. and Hala, K. (2007). Growth, yield and chemical constituents of corn (Zea maize L.) as affected by nitrogen and phosphors fertilization under different irrigation intervals. J. Appl. Sci. Res., 36:1112-1120.
- Intodia, S.L., Intodia K. and Intodia, S.K. (2007). Effect of nitrogen, phosphorus and zinc fertilization on nutrient utilization by maize (Zea mays L.) on calcareous soil of South Rajasthan. Internat. J. Chem. Sci., 5 : 209-216.
- Kakar, K.M., Kakar, R.G., Rehman, S.U., Rehman, F. and Hag, I.U. (2006). Zinc and plant population effects on the yield and yield components of maize (Zea mays). Indus J. Plant Sci., 5: 715-721.
- Kanwal, S., Rahmatullah, Muhammad, A.M., Hafiz, F.S. and Gul, B. (2009). Zinc requirement of maize (Zea mays L.) hybrids and indigenous varieties on Udic Haplustalf. J. Plant Nutr., 32 : 470-478.
- Kanwal, S., Rahmatullah, A.M. Ranjha and Ahmad, R. (2010). Zinc partitioning in maize (Zea mays) grain after soil fertilization with zinc sulphate. Internat. J. Agric. Biol., 12: 299-302.
- Kar, P.P., Barik, K.C., Mahapatra, P.K., Garnayak, L.M.,Rath, B.S.,Bastia, D.K. and Khanda, C.M. (2006). Effect of planting geometry and nitrogen on yield, economics and nitrogen uptake of sweet corn (Zea mays). Indian J. Agron., 51: 43-45.
- Katyal, J.C. (1985). Zinc deficiency in rice soils of India. Paper presented in: Int. Rice Res. Conf., IRRI, Los Bonos, Philippines.
- Katyal, J.C. and Rattan, R.K. (1990). Micronutrient use in tahe 90's soil fertility and fertilizer use-nutrient management and supply systems for sustaining agriculture in 1990's Vol. IV IFFCO, New Delhi, India pp. 115-135.
- Kayode, G.O. (2005). Responses of yield, components of yield and nutrient content of maize to soil-applied zinc in tropical rainforest and Savannah regions. J. Agric. Sci., 105: 135-139.
- Khattak, S.G., Rohullah, Malic, A., Praveen, Q. and Ibrar, M. (2006). Assessing maize (Zea mays L.) Yield and quality as affected by Zn as soil or foliar application. Sarhad J. Agric., 22 : 465-472.
- Kumar, A. (2008). Productivity, economics and nitrogen use efficiency of specialty corn (Zea mays) as influenced by planting density and nitrogen fertilization. Indian J.Agron., 53 : 306-309.
- Kumar, A. and Dhar, S. (2010). Evaluation of organic and inorganic sources of nutrients in maize (Zea mays) and their residual effect on wheat (Triticum aestivum) under different fertility levels. Indian J. Agric. Sci., 80 : 364-371.
- Lindsay, W.L. and Norvell, W.A. (1978). Development of a DTPA soil test for zinc, iron, manganese, and copper. Soil Sci. Soc. America J., 42 : 421-428.
- Mahdi, S.S., Hasan, B. and Singh, L. (2011). Influence of seed rate, nitrogen and zinc on fodder maize (Zea mays) in temperate conditions of Western Himalayas. Indian J. Agron., 57:85-88.
- Marwat, K.B., Arif, M. and Khan, M.A. (2007). Effect of tillage and zinc application method on weed and yield of maize (Zea mays L.). Pakistan J. Bot., 39: 1583-1591.
- Mehta, S., Bedi, S. and Vashist, K.K. (2011). Performance of winter maize (Zea mays) hybrid to planting methods and nitrogen levels. Indian J. Agric. Sci., 81:50-54.
- Montgomery, E.G. (1911). Correlation studies in corn. Nebraska Agr. Exp. Sta. Annu. Rep., 24 : 108-159.
- Omotoso, S.O. and Falade, M.J. (2007). Zinc and organo-mineral fertilization effect on biomass production in maize (Zea mays) grown on acid sandy Alfisol (Typic paleudalf). Res. J. Agron., 1 : 62-65.
- Onasanya, R.O., Aiyelari, O.P., Onasanya, A., Oikeh, S., Nwilene, F.E. and Oyelakin, O.O. (2009). Growth and yield response of maize (Zea mays L.) to different rates of nitrogen and phosphorus fertilizers in southern Nigeria.World J. Agric. Sci., 5: 400-407.
- Rafiq, M.A., Malik, M.A. and Hussain, M. (2010). Effect of fertilizer levels and plant densities on yield and protein content of maize (Zea mays L.). Pakistan J. Agric. Sci., 47: 201-208.
- Redford, P.J. (1967). Growth analysis formulae their use and abuse. Crop Sci., 7: 171.
- Richards, L.A. (1968). Diagnosis and improvement of saline and alkali soils. United States Salinity Laboratory Staff. Agriculture Hand Book No. 60, USDA, Washington, DC, USA.
- Shafea, L. and Saffari, M. (2011). Effect of ZnSO4 and nitrogen on chemical composition of maize (Zea mays) grain. Internat. J. Agric. Sci., 1:323-328.
- Singh, G., Kumar, R. and Kumar, S. (2006). Effect of tillage and nitrogen levels on growth and yield of maize (Zea mays). Annal. Agric. Res. New Series, 27:198-199.
- Snell, F.B. and Snell, C.T. (1949). Colorimetric method of analysis. IIAD Vannostrand Co., New Delhi (India).
- Tsen, C. C. and Martin, E. E. (1971). A note on determining protein contents in various wheat flours and flour streams by the Kjeldahl and by Neutron-activation methods.Cereal Chem., 48 :721-726.
- Verma, A., Nepalia, V. and Kantaliya, P.C. (2006). Effect of nutrient supply on growth, yield and nutrient uptake by maize (Zea mays L.)- wheat (Triticum aestivum) cropping system. Indian J. Agron., 51:3-6.
- Wang, Z.R., Rui, Y.K., Shen, J.B. and Zhang, F.S. (2009). Effects of forms and level of nitrogen fertilizer on the content of chlorophyll in leaves of maize (Zea mays) seedling. Biologia Plantarum, 53: 191-194.
- Wronska, M., Grzebisz, W., Potarzycki, J., Gaj, R. and Akademia Rolnicza (2007). Maize (Zea mays L.) response to nitrogen and zinc fertilization. Pt. 2. Accumulation of nutrients at maturity. Fragmental Agronomica, 24: 400-407.
- Effect of Rhizobium, Different Levels of Phosphorus and Sulphur on Growth and Yield of Vigna radiate L. Cv. PUSA BESAKHI
Abstract Views :172 |
PDF Views:0
Authors
Affiliations
1 Department of Agriculture, Bhagwant University, Ajmer (Rajasthan), IN
2 Department of Agricultural Biotechnology, Bhagwant University, Ajmer (Rajasthan), IN
1 Department of Agriculture, Bhagwant University, Ajmer (Rajasthan), IN
2 Department of Agricultural Biotechnology, Bhagwant University, Ajmer (Rajasthan), IN
Source
International Journal of Agricultural Sciences, Vol 13, No 2 (2017), Pagination: 390-402Abstract
The experiment was laid out in a Factorial Randomized Block Design with twelve treatments and replicated thrice. Results indicate that the seed inoculation with Rhizobium showed some good results increasing numbers of nodules and uptake of nutrients due to inoculation. Significant effects were observed in plants growth attributes due to presence of phosphorus and uptake of phosphorus increased due to presence of sulphur @ 20 kg ha-1 ultimately resulting in good yield. However, plant heights (66.00cm), Number of branches plant-1 (4.82), Number of nodules plant-1 (5.83), Number of grains pod-1 (12.56), test weight (51.03 g) and grain yield (12.39 q/ha) were found significantly affected by the application of Rhizobium inoculation, application of 45 kg phosphorus through DAP and 20 kg sulphur through Gypsum ha-1. Cost benefit ratio was also found (2.22) on higher side.Keywords
Mungbean, RBD, Rhizobium, Sulphur, Plant Parameter.References
- Donald, C.M. (1962). In search of yield. J. Aust. Inst. Agric. Sci., 28: 1971-1978.
- Gupta, A., Sharma, V. K., Sharma, G. D. and Chopra, P. (2006). Effect of biofertilizer and phosphorous levels on yield attributes, yield and quality of urdbean (Vigna mungo). Indian J. Agron., 51(2): 142-144 .
- Heath, K.D. and Tiffin, P. (2009). Stabilizing mechanisms in a legume-Rhizobium mutualism. Evolution, 63 (3): 652-662.
- Jackson, M.L. (1973). Soil chemical analysis, Prentice Hall of Indian Private Limited, NEW DELHI, INDIA.
- Jaggi, R.C, Sharma, R.K. and Paliyal, S.S. (2000). Sulphur as second major nutrient in cruciferous oilseeds. Indian Farm., 12 : 14-18.
- Kanwar,K. (2000). Legumes - the soil fertility improver. Indian Farm., 50 (5) : 9.
- Malik, R.S. (1999). Crops in India need sulphur. Indian Farm., 49 : 11-13.
- Olsen, S.R., Cole, C.V., Watenabe, F.S. and Dean L.A. (1954). Estimation of available phosphorus in soil by extraction with sodium bicarbonate. United State Dept. of Agric. CIRC., Washinton, D.C., U.S.A.,939.
- Parmar, P.P. and Thanki, J.D. (2007). Effect of irrigation, phosphorus and biofertilizer on growth and yield of Rabi greengram (Vigna radiata L.) under south Gujrat condition. Crop Res., 34 (1, 2 & 3): 100-102.
- Piper, C.S. (1966). Soil and plant analysis. Hans Publishers, Bombay (M.S.) INDIA, pp. 135-136.
- Radford, P.J. (1967). Growth analysis formulae- their use and abuse. Crop Science, Modison,7: 171-175.
- Sarkar, R.K. and Pal, P.K. (2006). Effect of pre-sowing seed treatment and foliar spray of nitrate salts on growth and yield of greengram (Vigna radiata). Indian J. Agric. Sci., 76 (1) : 62-65.
- Soil Survey Staff (1975). Soil taxonomy. A basic key making and interpreting soil surveys. USDA, Hard Book No. 436, US. Govt. Printing Press, Washington, D.C.
- Subbaiah, B.V. and Asija, G.L. (1956). A rapid procedure for the estimation of available nitrogen in soil.Curr. Sci., 25: 259.
- Study on Biophysical and Biochemical Basis of Shoot and Fruit Borer Tolerance in Brinjal
Abstract Views :262 |
PDF Views:0
Authors
Affiliations
1 Department of Agriculture, Bhagwant University, Ajmer (Rajasthan), IN
2 Department of Agricultural Biotechnology, Bhagwant University, Ajmer (Rajasthan), IN
1 Department of Agriculture, Bhagwant University, Ajmer (Rajasthan), IN
2 Department of Agricultural Biotechnology, Bhagwant University, Ajmer (Rajasthan), IN
Source
International Journal of Plant Protection, Vol 10, No 2 (2017), Pagination: 206-228Abstract
Brinjal or eggplant or aubergine, Solanum melongena L. is one of the most important vegetable crops grown in India and other parts of the world. It is highly cosmopolitan and popular vegetable grown as poor man’s crop in India. Brinjal, being a native to India has great variability existing in the country. However, it is highly infested by shoot and fruit borer, Leucinodes orbonalis Guen., an obnoxious pest causing fruit damage upto 92.5 per cent. The pest is very active during the summer and rainy season and often causes more than 90 per cent damage. Pesticide application is not the only solution of managing the pest as repeated use of pesticide leads to health hazards, destruction of beneficial insects, pest resurgence and environmental pollution. Thus, in order to develop varieties resistant to this pest we need to know the biophysical and biochemical traits that often result intolerance mechanism. Thirty six diverse brinjal genotypes were grown in RBD with three replications at the Vegetable Research Farm, BAC, Sabour during spring-summer season of 2015-16 and morphological and biochemical studies were performed to accomplish these objectives. The findings revealed that sufficient genetic variability was present among the genotypes which provide ample scope for selection of promising genotypes under study. Shoot borer infestation was least in pusa purple cluster (3.28%) followed by BRBR-01 while fruit borer infestation percentage by both number and weight was least in BRBL-01. Pusa purple long was the highest yielder (1100.02g/plant) followed by BRBL-01 (1046.38g/plant). The morphological characters such as average fruit weight, fruit/plant, yield/plant, shoot borer infestation and fruit borer infestation percentage by number possessed high heritability coupled with high genetic advance. All the biochemical characters except leaf chlorophyll and ascorbic acid exhibited high heritability coupled with high genetic advance. Therefore, selection will be more effective for these characters since they are highly heritable and easily fixable due to additive gene effect. D2 cluster analysis grouped the thirty genotypes into 7 clusters. The inter and intra cluster distance between the genotypes under study indicate the existence of higher level of genetic divergence among them. The highest inter cluster distance was observed between cluster III (comprising of BRBL-01) and cluster IV and intra cluster distance was observed within cluster IV which suggest that hybridization between the members of these clusters may lead to creation of higher variability and heterosis. Total fruit anthocyanin had maximum contribution towards genetic divergence (27%), followed by fruit borer infestation percentage by weight (21%), fruit borer infestation percentage by number (18%), polyphenol oxidase activity (15%), leaf anthocyanin (8%), yield/plant (6%) and number of fruits/plant (4%). Trichome density showed highly significant negative correlation with shoot infestation also days to first flowering and 50 per cent flowering exhibited significant negative correlation with shoot infestation and fruit infestation by weight. Days to first flowering and fruit length showed significant and positive correlation with fruit yield/plant. So selection for these two characters can be rewarding for yield and quality improvement in brinjal. Fruit weight and trichome density possessed high direct effect and hence direct selection for these characters can be rewarding for yield and pest resistance improvement. Total phenol content of fruit exerted highly significant and negative correlation with fruit borer infestation by weight and fruit borer infestation percentage by number. So selection for these traits can lead to quality improvement, particularly for pest resistance. The genotypes BRBL-01, pusa purple long, pusa purple cluster and BRBL-04 have been found to be high yielders as well as possessing moderate resistance towards fruit and shoot borer besides having good biochemical properties that may be effective in imparting the resistant trait in the genotypes. Therefore, these superior genotypes may be used in future breeding programme for improvement of yield and especially quality.Keywords
GCV, PCV, DFF, Cluster, Solanum melongena.References
- Al- Jibouri, H.A. Millar, P.A. and Robinson, H.F. (1958). Genotypic and environmental variances and co-variance in an upland cotton cross of interspecific origin. Agron. J., 50: 633-637.
- Amin, S.M.R., Alam, M.Z., Rahman, M.M., Hossain, M.M. and Mian, I.H. (2014). Study on morphological characteristics of leaves, shoots and fruits of selected brinjal varieties/lines influencing brinjal shoot and fruit borer infestation. Internat. J. Econ. Plants, 1(1): 1-8.
- Apak, R., Guclu, K., Ozyurek, M. and Karademir, S.E. (2004). Novel total antioxidant capacity index for dietary polyphenols and vitamins C and E, using their cupric ion reducing capability in the presence of neocuproine: CUPRAC Method. J. Agric. & Food Chem., 52 (26) : 7970-7981.DOI: PMid: 15612784 .
- Ardez, K.P., Sumalde, A.C. and Taylo, L.D. (2008). Ovipositional preference, host range and life history of eggplant fruit and shoot borer, Leucinodes orbonalis Guenee (Lepidoptera: Pyralidae). Philippine Entomologist., 22(2): 173-183.
- Arnon, D. I. (1949). Copper enzymes in isolated chloroplast polyphenol oxidase in Beta vulgaris. Pl. Physiol., 24 : 115.
- Bharadiya, A.M. and Patel, B.R. (2005). Study on the efficacy of certain insecticides against brinjal shoot and fruit borer, Leucinodes orbonalis Guenee. J. Plant Protec. & Environ., 2 : 113-115.
- Chandrashekhar, C.H., Malik, V.S. and Singh, R. (2009). Morphological and biochemical factors of resistance in eggplant against Leucinodes orbonalis (Lepidoptera: Pyralididae). Entomologia Generalis, 31: 337-345.
- Dewey, D.R. and Lu, K.H. (1959). A correlation and path co-efficient analysis of components of crested wheat grass production. Agron. J., 51: 515-518.
- Dhaka, S.K. and Soni, A.K. (2012).Genetic variability in brinjal (Solanum melongena L.). Asian J. Hort., 7(2): 537-540.
- Dhruve, J.J., Shah, R., Gandhi, S. and Talati, J.G. (2014). Biochemical and morphological traits of different cultivars of brinjal fruits growing in Anand (Gujarat). Indian J. Agric. Biochem., 27(2): 211-214.
- Elanchezhyan, K., Muralibaskaran, R.K. and Rajavel, D.S. (2008). Field screening of brinjal varieties on major pests and their natural enemies. J. Bio Pesticides, 1(2):113- 120.
- Elanchezhyan, K., Muralibaskaran, R.K. and Rajavel, D.S. (2009). Biochemical basis of resistance in brinjal genotypes to shoot and fruit borer, Leucinodes orbonalis Guen. J. Entomological Res., 33: 101-114.
- Gupta, Y.C. and Kauntey, R.P.S. (2008). Studies on fruit characters in relation to infestation of shoot and fruit borer, Leucinodes orbonalis Guen.in brinjal, Solanum melongena L. J. Entomological Res., 32 (2) : 119-123.
- Johnson, H.W., Robinson, H.F. and Comstock, R.E. (1955). Estimates of genetic and environmental variability in soybean. Agron. J., 47: 274-318.
- Khorsheduzzaman, A.K.M., Alam, M.Z. and Rahman, M.M. (2010). Biochemical basis of resistance in eggplant (Solanum melongena L.) to Leucinodes orbonalis Guenee and their correlation with shoot and fruit infestation. Bangladesh J. Agric. Res., 35(1): 149-155.
- Kumar, S.R., Arumugam, T. and Balakrishan, S. (2013). Studies on evaluation and mean performance associated with yield, quality and pest and disease incidence in eggplant (Solanum melongena L.) Internat. J. Hort., 13(3): 70-79.
- Kushwah, S. and Bandhyopadhya, B.B. (2005).Variability and Correlation studies in brinjal lndian. J. Hort., 62(2): 210-212.
- Lush, J.L. (1940). Intra-sire correlations or regressions of offspring on dam as a method of estimating heritability of characteristics. Proc. Amer. Soc. Anim. Prod., 293.
- Lush, J.L. (1949). Heritability of quantitative characters in farm animals. Heriditas (suppl.). 35 : 256-261.
- Miller, Daniel (2007). Genetically engineered eggplant. Span, 41.
- Naliyadhara, M.V., Mehta, D.R., Pandya, H.M. and Purohit, V.L. (2007). A study on genetic diversity and genetic variability in brinjal (Solanum melongena L.). Agric. Sci. Digest., 27 (1): 22-25.
- Naqvi, A.R., Pareek, B.L., Nanda, U.S. and Mitharwal, B.S. (2008). Leaf morphology and biochemical studies on different varieties of brinjal in relation to major sucking insect pests. Indian J. Plant Protec., 36 (2) : 245-248.
- Naqvi, A.R., Pareek, B.L., Nanda, U.S. and Mitharwal, B.S. (2009). Biophysical characters of brinjal plant governing resistance to shoot and fruit borer, L. orbonalis. Indian J. Plant Protec., 37(1/2): 1-6.
- Padgilwar, T., Deshmukh, M. and Mahorkar, V.K. (2009). Correlation and path analysis for biochemical constituents and fruit infestation in brinjal. Plant Archiv., 9(1): 307-308.
- Pareek, B.L. and Bhargava, M.C. (2009). Estimation of avoidable losses in vegetable crops caused by borers under semi-arid conditions of Rajasthan. Insect Environment., 9: 59-60.
- Prabakaran, S. (2010). Evaluation of local types of brinjal (Solanum melongena L.). M.Sc., (Hort.) Thesis, Agricultural College and Research Institute, Tmil Nadu Agricultural University, Madurai, T.N. (INDIA).
- Prabhu, M., Natarajan, S. and Pugalendhi, L. (2007). Biochemical basis of shoot and fruit borer (Leucinodes orbonalis Guen.) resistance in brinjal (Solanum melongena L). In: Keshavachandran, R., Nazeem, P.A., Girija, D., John, P.S. and Peter, K.V. (Ed.), Recent trends in Horticultural Biotechnology, New India Publishing Agency, New Delhi, India, pp. 829-837.
- Prabhu, M., Natarajan, S., Veeraragavathatham, D. and Pugalendhi, L. (2009). The biochemical basis of shoot and fruit borer resistance in interspecific progenies of brinjal (Solanum melongena). Eur. Asian J. BioSci., 3: 50-57.
- Prasad, T.V., Bhardwaj, R., Gangopadhyay, K.K., Arivalagan, M., Bag, M.K., Meena, B.L. and Dutta, M. (2014).Biophysical and biochemical basis of resistance to fruit and shoot borer (Leucinodes orbonalis Guennee) in eggplant. Indian J. Hort., 71 (1): 67-71.
- Ranganna, S. (1977). Plant pigments. In: S. Ranganna (Ed.): Manual of analysis of fruit and vegetable products. Tata McGraw-Hill Publishing Co., Ltd. New Delhi. pp. 72-93.
- Roychowdhury, R., Datta, S. Gupta, P. and Tah, J. (2012). Analysis of genetic parameters on mutant populations of mungbean (Vigna radiata L.) after ethyl methyl sulphonate treatment. Notulae Scientia Biologicae., 4 (1): 137-143.
- Samadia, D.K., Aswani, R.C. and Dhandar, G. (2006). Genetic analysis for yield components in tomato land races. Haryana J. Hort. Sci., 35 (1&2): 116-119.
- Senapati, N., Mishra, H.N., Bhoi, M.K., Dash, S.K. and Prasad, G. (2009). Genetic variability and divergence studies in brinjal (Solanum melongena L.). Veg. Sci., 36 (2): 150-154.
- Shinde, K.G., Birajdar, U.M., Bhalekar, M.N. and Patil, B.T. (2012). Correlation and path analysis in eggplant (Solanum melongena L.). Veg. Sci., 39(1): 108-110.
- Singh, A.K., Ahmed, N. and Narayan, S. (2006). Genetic divergence studies in brinjal under temperate condition. Indian J. Hort., 63 (4) : 407-409.
- Singleton, V.L., Orthofer, R., Lamuela-Raventos, R.M. (1999). Analysis of total phenols and other oxidation substrates and antioxidants by means of Folin-Ciocalteu reagent. Methods Enzymol., 299 : 152-178.
- Soundararajan, R. and Baskaran, P. (2005). Effects of antibiosis components of eggplant on the developmental biology of whitefly parasitoids, Encarsia transvena T. and Eretmocerus mundus M. (Aphelinidae: Hymenoptera). In: National seminar on sustainable insect pest management (Ignacimuthu, S. and Jayaraj, S. Ed.), Loyola College, Chennai. pp. 298.
- Thamburaj, S. and Singh, N. (2013). Vegetables, tubercrops and spices. Indian Council of Agricultural Research, NEW DELHI, INDIA.
- Thangamani, C. and Jansirani, P. (2012). Correlation and path co-efficient analysis studies on yield and attributing characters in brinjal (Solanum melongena L.). Electronic J. Plant Breed., 3 (3): 939-944.
- Wagh, S.S., Pawar, D.B., Chandele, A.G. and Ukey, N.S. (2012). Biophysical mechanisms of resistance to brinjal shoot and fruit borer, Leucinodes orbonalisGuenee in brinjal. Pest Mgmt. Hort. Ecosyst., 18 (1) : 54-59.
- Warade, S.D., Shinde, K.G. and Kadam, J.H. (2008). Association of characters in relation to shoot and fruit borer infestation in brinjal (Solanum melongena L.). Asian J. Hort., 3 : 304-306.
- Wright, S. (1921). Correlation and causation. J. Agirc.Res., 20: 557 - 585.
- Yadav, D.S. and Sharma, M.M. (2005). Evaluation of brinjal varieties for their resistance against fruit and shoot borer, Leucinodes orbonalis Guenne. Indian J. Entomol., 67(2): 129-132.
- Nitrogen Management in Maize Based Legume Intercropping System
Abstract Views :241 |
PDF Views:2
Authors
Affiliations
1 Department of Agriculture, Bhagwant University, Ajmer (Rajasthan), IN
2 Department of Agricultural Biotechnology, Bhagwant University, Ajmer (Rajsthan), IN
1 Department of Agriculture, Bhagwant University, Ajmer (Rajasthan), IN
2 Department of Agricultural Biotechnology, Bhagwant University, Ajmer (Rajsthan), IN
Source
Asian Journal of Bio Science, Vol 12, No 2 (2017), Pagination: 51-78Abstract
The experiment consisting of 2 intercropping patterns, 3 methods of fertilizer application, 2 nitrogen doses in maize along with 2 sole crop treatments in n +2 Factorial Randomized Block Design with three replications was conducted at Bhagwant University during the Kharif 2016. The results revealed that planting patterns remained statistically equal with respect to cob yield, grain yield and yield attributes viz., cob length, cob girth and number of grain rows per cob, number of grains per row and number of grains per cob. Furrow application of fertilizers recorded significantly higher cob length, higher number of grains per cob, number of grain per row, cob yield and grain yield than broadcast but remained at par with side placement. Between nitrogen doses, 100 per cent recommended nitrogen recorded significantly higher cob length, number of grains per row, number of grain per cob, cob yield and grain yields than 75 per cent. Significantly more grain yield of intercropped urdbean was obtained in under paired row planting method than normal planting. Grain yield of urdbean did not vary significantly due to N fertilization and different methods of fertilizer application in maize. Maize grain equivalent yield was found significantly higher in paired row system than normal planting. Different methods of fertilizer application and N dose did not produce significant variations in MGEY. Intercropping of maize showed significantly more MGEY than sole cropping. Intercropping of urdbean in between paired row maize gave significantly higher gross and net returns than normal planting. Method of fertilizer application and dose of nitrogen did not cause significant variation in monetary advantage. Maize may be fertilized with 75 per cent recommended dose of nitrogen in association with legumes. Furrow placement of fertilizers is superior to other methods.Keywords
DAP, DAS, LAI, RBD, MGEY.References
- Baishya, L.K., Ansari, M.A., Walling, I., Sarma, P.K. and Prakash, N. (2014). Productivity, profitability and energy budgeting of maize (Zea mays) greengram (Vigna radiata) intercropping system under rainfed conditions of Eastern Himalayan region. Indian J. Agric. Sci., 84 (9): 1073-1077.
- Bhatnagar, A., Pal, M.S. and Singh, V. (2012). Productivity and profitability of maize based intercropping systems. Madras Agric. J., 99 (7-9) : 530-532.
- Bhatnagar, A. and Pal, M.S. (2014).Evaluation of intercropping systems in spring maize with sunflower and urdbean in north western plain of India. SAARC J. Agric., 12(1): 26 - 32.
- Dwivedi, S.K. and Shrivastava, G.K. (2011).Planting geometry and weed management for maize (Zea mays)-blackgram (Vigna mungo) intercropping system under rainfed vertisols. Indian J. Agron., 56 (3): 202-208.
- Hultgreen, G.E., Wang, H. and May, W.E. (2010). Effect of form, placement and rate of N fertilizer and placement of P fertilizer on wheat in Saskatchewan. Canadian J. Plant Sci., 90 (3): 319-337.
- Jackson, M.L. (1973). Soil chemical analysis. Prentice Hall of India Pvt. Ltd., New Delhi, India, pp. 498.
- Kumar, A., Chhillar, R.K. and Gautam, R.C. (2006).Nutrient requirement of winter maize (Zea mays) - based intercropping systems. Indian J. Agric. Sci., 76(5): 315-318.
- Latha, P.M. and Prasad, P.V.N. (2008). Productivity and economics of maize + greengram intercropping at different NPK levels. Agric. Sci. Digest., 28(1): 30-32.
- Mallikarjuna, G.B., Manjunath, T. R. and Megeri, S.M. (2013). Statistical analyisis for plant density and weed management practices in maize - urdbean intercropping. Internat. J. Sci. Nat., 4(1): 29-33.
- Matusso, J.M.M., Mugwe, J.N. and Mucheru-Muna, M. (2014). Effect of different maize (Zea mays L.) – soybean [Glycine max (L.) Merrill] intercropping patterns on yields, light interception and leaf area index in Embu West and Tigania East sub counties. Acad. Res. J. Agric. Sci. Res., 2(2): 6-21.
- Meena, O.P., Gaur, B.L. and Singh, P. (2006). Effect of row ratio and fertility levels on productivity, economics and nutrient uptake in maize (Zea mays) + soybean (Glycine max) intercropping system. Indian J. Agron., 51 (3) : 178-182.
- Mohan, H.M., Chittapur, B.M., Hiremath, S.M. and Chimmad, V.P. (2005). Performance of maize under intercropping with grain legumes. Karnataka J. Agric. Sci., 18(2): 290-293.
- Munirathnam, P. and Kumar, K.A. (2010). Studies on the productivity and nitrogen use efficiency of maize + soybean intercropping system at different levels of nitrogen. Agric. Sci. Digest, 30 (4): 262–265.
- Osundare, B. (2006). Effects of tillage and fertilizer application methods on the performance of maize (Zea mays L.). Moor J. Agril. Res., 7 (1&2): 63-68.
- Padhi, A.K. and Panigrahi, R.K. (2006). Effect of intercrop and crop geometry on productivity, economics, energetics and soil fertility status of maize (Zea mays)-based intercropping systems. Indian J. Agron., 51 (3): 174-177.
- Pathak, K. (2005). Studies on the performance of urdbean genotypes under intercropping system with maize. Thesis, Ph.D. G.B. Pant University of Agriculture and Technology, Pantnagar. 159p.
- Reddy, V.B., Madhavi, G.B., Reddy, V.C., Reddy, K.G. and Reddy, M.C.S. (2009). Intercropping of baby corn (Zea mays L.) with legumes and cover crops. Agric.Sci. Digest., 29 (4): 260-263.
- Saleem, M. F., Randhawa, M.S., Hussain, S., Wahid, M. A. and Anjum, S.A. (2009). Nitrogen management studies in autumn planted maize (Zea mays L.) hybrids. J. Animal Plant Sci., 19 (3): 140-143.
- Saudya, H.S. (2015). Maize–cowpea intercropping as an ecological approach for nitrogen-use rationalization and weed suppression. Arch. Agron. Soil Sci., 61(1): 1–14.
- Sawargaonkar, G.L., Shelke, D.K., Shinde, S.A. and Kshirsagar, S. (2008). Performance of Kharif maize based legume intercropping systems under different fertilizer doses. Internat. J. Agric. Sci., 4 (1): 152-155.
- Sharma, P.K., Bali, A. S. and Sharma, B. C. (2012). Performance of maize (Zea mays L.) in intercropping systems at different fertility levels. Bioinfolet., 9(4A): 633–637.
- Sheoran, P., Sardana, V., Singh, S. and Bhushan, B. (2010). Bio-economic evaluation of rainfed maize (Zea mays) based intercropping systems with blackgram (Vigna mungo) under different spatial arrangements. Indian J. Agril. Sci., 80 (3) : 244-247.
- Singh, M.K., Singh, R.N., Singh, S.P., Yadav, M.K. and Singh, V.K. (2010). Integrated nutrient management for higher yield, quality and profitability of baby corn (Zea mays). Indian J. Agron., 55(2): 100-104.
- Singh, S.K. (2010). Effect of fertility levels, plant population and detasseling on the growth yield and quality of babycorn (Zea mays). Thesis, Ph. D. Banaras Hindu University, Varanasi, U.P. (INDIA).
- Singh, U., Saad, A.A. and Singh S.R. (2008). Production potential, biological feasibility and economic viability of maize (Zea mays)- based intercropping systems under rainfed conditions of Kashmir valley. Indian J. Agric. Sci., 78 (12) : 1023-1027.
- Singh, V.P. (2000). Planting geometry in maize (Zea mays) and blackgram (Phaseolis mungo) intercropping system under rainfed low hill valley of Kumaon. Indian. J. Agron., 45(2): 274-278.
- Effect and Application of Vermicompost on Nitrogen Dynamics in Soil
Abstract Views :208 |
PDF Views:1
Authors
Affiliations
1 Department of Agriculture, Bhagwant University, Ajmer (Rajasthan), IN
2 Department of Agricultural Biotechnology, Bhagwant University, Ajmer (Rajasthan), IN
1 Department of Agriculture, Bhagwant University, Ajmer (Rajasthan), IN
2 Department of Agricultural Biotechnology, Bhagwant University, Ajmer (Rajasthan), IN
Source
Asian Journal of Bio Science, Vol 12, No 2 (2017), Pagination: 108-121Abstract
The results of the present investigation indicate that vermicompost of water hyacinth and coconut leaf showed almost similar pH level (6.81 and 6.92) by Jackson method but it showed higher value in FCO method. Electrical conductivity resulted similar trend for both methods. CEC value for both vermicompost was 74.20 and 72.60cmol kg-1. Organic carbon content in water hyacinth vermicompost was 23.1 per cent and in coconut leaf vermicompost 22.5 per cent. Maximum water holding capacity was much higher (213.90 and 226.2%). Available form of N, P, K, S, Zn, Cu, Mn and Fe found very less content with respect to total content except K and Na content in both types of vermicompost. Water hyacinth vermicompost also contains higher values of dehydrogenase activity, microbial biomass carbon content and lower value of urease enzyme activity. Results represented that water hyacinth vermicompost is better in quality than coconut vermicompost with respect to microbial activity. Changes of available nitrogen content over different stages of growth of cauliflower resulted maximum release at 10th day in T6 (168.16mg kg-1) which was 49.38 per cent over control followed by T5 (157.48mg kg-1), T4 (151.95mg kg-1), T2 (137.40mg kg-1), T3 (127.48mg kg-1) and T1 (112.57mg kg-1). But changes of its content in soil through incubation study over the period showed maximum release at different dates under different treatments.Keywords
Vermicompost, Electrical Conductivity, Cation Exchange Capacity, Micro-Nutrients, PSB.References
- Arancon, N.Q., Edwards, C.A., Babenko, A., Cannon, J., Galvis, P. and Metzger, J.D. (2008). Influences of vermicompost, produced by earthworms and micr-oorganisms from cattle manure, food waste and paper waste, on the germination, growth and flowering of petunias in the greenhouse. Appl. Soil Ecol.,39 : 91–99.
- Black, C.A. (1965). Methods of soil analysis. Am. Agron. Inc., Medison, Wisconsin, USA, pp.131-137.
- Blanchar, R.W., Rehm, G. and Caldwell, A.C. (1965).Sulfur in plant material digestion with nitric and perchloric acids. Soil Sci. Soc. Am. Pro., 29 (1) : 71-72.
- Chesnin, L. and Yien, C. H. (1950). Turbidimetric determination of available sulfate. Soil Sci. Soc. America Proc., 15 : 149-151.
- Jackson, M.L. (1973). Soil chemical analysis, Pretice Hall of India Pvt. Ltd., NEW DELHI, INDIA.
- Jenkinson, D. S. and Powlson, D.S. (1976). The effects of biological treatment on metabolism in soil. V. A. method for measuring soil biomass. Soil Biol. Biochem., 8 : 209-213.
- Jensen, H.L. (1930). Azotobacteriaceae. Bacterial Review, 189 (5) : 180-220.
- Jenson, H.L.(1930). Actinomycetes in Danish Soils. Soil Sci., 30 : 59-77.
- Martin, J.P. (1950).Use of acid ,rose Bengal and streptomycin in the plate method for estimating soil fungi. Soil Sci. 69 : 215-232.
- Olsen, S. R., Cole, C. V., Watanabe, F. S. and Dean, L. A. (1954). Estimation of available phosphorus in soils by extraction with sodium bicarbonate. Washington, D.C. U.S.A.
- Page, A.L., Miller, R.H. and Keeney, D.R. (1982).Methods of soil analysis.IInd. American Society of Agronomy and Soil Science Societyof America, Madison.
- Pikovaskaia, R.I. (1948). Mobilization of phosphates in soil with the vital activities of some microbial species. Microbiologiya, 17 : 362-370.
- Piper, C.S. (1966). Soil and plant analysis. Hans Publisher, Bombay (M.S.) INDIA.
- Schollenberger, C.J. (1945). Determination of soil organic matter. Soil. Sci., 59: 53-56.
- Subbiah, B.V. and Asija, G.L. (1956). A rapid procedure for estimation ofavailable nitrogen in soils. Curr. Sci., 25: 259–260.
- Tabatabai, M.A. and Bremner, J.M. (1969). Use of p-nitrophenol phosphate for the assay of soil phosphatase activity. Soil Biol. Biochem., 1 : 301-307. http://dx.doi.org/10.1016/0038-0717(69)90012-1.
- Thornton, H.G. (1922). On the development of a standardised agar medium for counting soil bacteria, with especial regard to the repression of spreading colonies. Internat. J. Annl. Appl.Biol., 9 (3&4): 241-274.
- Tisdale, S.L., Nelson, W.L., Beaton, J.D. and Havlin J.L. (1995). Soil fertility and fertilizers, 5thEd. PHI Private Ltd., NEW DELHI, INDIA.
- Vance, E.D., Brookes, P.C. and Jenkinson, D.S. (1987). An extraction method for measuring soil microbial biomass C. Soil Biol. Biochem., 19 : 703–707.
- Walkley, A. and Black, I.A. (1934). An examination of the degtjareff mathod for determining soil organic matter and a proposed modification of the chromic acid titration method. Soil. Sci., 34: 29-38.
- Williams, C.H. and Steinbergs, A. (1959).Soil sulphur fractions as chemical indices of available sulphur in some Australian soils. Australian J. Agric. Res., 10 : 340-352.
- Studies on Agro-Chemicals for Lodging Management in Wheat (Triticum aestivum L.) for Higher Productivity
Abstract Views :211 |
PDF Views:2
Authors
Affiliations
1 Department of Agriculture, Bhagwant University, Ajmer (Rajasthan), IN
2 Department of Agricultural Biotechnology, Bhagwant University, Ajmer (Rajasthan), IN
1 Department of Agriculture, Bhagwant University, Ajmer (Rajasthan), IN
2 Department of Agricultural Biotechnology, Bhagwant University, Ajmer (Rajasthan), IN
Source
Asian Journal of Bio Science, Vol 12, No 2 (2017), Pagination: 134-155Abstract
Aberrant weather conditions prevailing in the last few years increased the threat of wheat lodging which is a limiting factor for higher productivity and thus, lodging management is very important to sustain and achieve higher wheat yields. Keeping this in view, two studies were conducted to manage lodging in wheat by evaluating agro-chemicals. Experiment I consisted of 12 treatments laid in Factorial Randomized Block Design with three replications having four NPK doses and three growth regulators, NGR, GR1 and GR2. Results revealed that RDF resulted in more tiller/m2, shoot: emergence ratio, increased plant height, increased dry matter but these growth parameters were at par with SSNM-7 and SSNM-8. RDF resulted in minimum lodging angle, area lodged per cent and lodging score, highest grain yield and highest harvest index, maximum gross return, net returns and B: C , maximum nitrogen and phosphorus uptake by grain. Whereas potassium uptake was highest under SSNM-8. Nutrient doses above RDF favoured the wheat lodging. GR2 resulted in higher emergence, higher tiller/m2, lower mortality percentage, higher dry matter production, higher leaf area index, higher 1000 grain weight. However, plant height and internode length was minimum in GR1. Grain yield and harvest index was higher in GR1. Interaction effects for lodging observation revealed that RDF with GR1 resulted in lower lodging angle, area per cent lodged and lodging score. RDF with GR2 resulted in higher 1000 grain weight. Grain yield and harvest index was highest in RDF with GR1. In experiment-2 lodging was induced manually at grain filling stage by dragging a rope over plot to evaluate the effect of agro-chemicals on recovery ability of induced lodged wheat. This experiment consisted of five treatments as RDF+WL, RDF+IL, RDF+IL+ ethrel, RDF+IL+KC1 and RDF+IL+nano-silicon. Results revealed that tiller/m2, shoot: emergence ratio, plant height was not affected by treatments. Dry matter, leaf area index, peduncle length, internode length, days taken to physiological maturity was highest in RDF+WL. Lodging angle, area per cent lodged and lodging score was minimum in RDF + nano-silicon. 1000 grain weight was maximum in RDF+WL which was at par with RDF+IL+ nanosilicon. Grain yield, biological yield, straw yield and harvest index was highest in RDF+WL. Gross return, net return, benefit: cost ratio was highest in RDF+WL. Ethrel, KC1 and nano- silicon have recovered the wheat from induced lodging, but nano-silicon was more effective in recovering from artificially induced lodging. However, these chemicals did not recover the crop fully and yield was still much lower than RDF + WL. From this study it can be concluded that RDF along with cycocel should be recommended for wheat crop to minimize the crop lodging and thus, produce more grain yield.Keywords
NPK, SSNM-7, SSNM-8, Nano-Silicon, NGR.References
- Acreche, M.M. and Slafer, G.A. (2011).Lodging yield penalties as affected by breeding in Mediterranean wheats. Field Crop Res., 122 : 40–48.
- Berry, P.M. and Spinkm J. (2012). Predicting yield losses caused by lodging in wheat.Field Crops Res., 137 : 19-26, 10.1016/j.fcr.2012.07.019.
- Berry, P.M. (2013). Lodging resistance cereal lodging resistance in cereals cereal. In: Sustainable food production, pp.1096–1110.
- Fallah, A. (2008). Studies effect of silicon on lodging parameters in rice plant under hydroponics culture in a greenhouse experiment. Silicon in Agriculture Conference, Wild Coast Sun South Africa, pp. 26–31.
- FAO (2009). Food security and agricultural mitigation in developing countries: Options for Capturing Synergies. Rome, Italy. www.fao.org/docrep/012/i1318e/i1318e00.pdf.
- Majumdar, K., Jat, M.L., Pampolino, M., Dutta, S. and Kumar, A. (2013). Nutrient management in wheat: current scenario, improved strategies and future research needs in India. J. Wheat Res., 4:1-10.
- Rajkumara, S. (2008). Lodging in cereals- A review. Agric. Rev., 29 : 55–60.
- Reynolds, M.P. and Borlaug, N.E. (2006). Impacts of breeding on international collaborative wheat improvement. J. Agric. Sci. Cambridge, 144: 3-17.
- Satyanarayana, T., Majumdar, K., Pampolino, M., Johnston, A.M. and Jat, M.L. (2013). Nutrient expert TM : A tool to optimize nutrient use and improve productivity of maize. Better Crops, 97 (1) : 21-40.
- Wegulo, S.N., Breathnach, J.A. and Baenziger, P.S. (2009). Effect of growth stage on the relationship between tan spot and spot blotch severity and yield in winter. Better Crops- South Asia, 28 : 696-702.
- Influence of Vermicompost and Different Nutrients on Performance of Indian Mustard [Brassica juncea (L.) Czern and Coss] in Typic Haplustepts
Abstract Views :221 |
PDF Views:1
Authors
Affiliations
1 Department of Agriculture, Bhagwant University, Ajmer (Rajasthan), IN
2 Department of Agricultural Biotechnology, Bhagwant University, Ajmer (Rajasthan), IN
1 Department of Agriculture, Bhagwant University, Ajmer (Rajasthan), IN
2 Department of Agricultural Biotechnology, Bhagwant University, Ajmer (Rajasthan), IN
Source
Asian Journal of Bio Science, Vol 12, No 2 (2017), Pagination: 165-184Abstract
The experiment was laid out according to Randomized Block Design with three replications. The treatments consisting of three levels of vermicompost (control, 2.5 and 5t ha-1) and five levels of different nutrients (control, S @ 40kg/ha-1, S @ 40kg/ha-1 + iron @ 9.5kg/ha-1, S @ 40kg/ha-1 + zinc @ 5kg/ha-1, S @ 40kg/ha-1 + iron @ 9.5kg/ha-1 + zinc @ 5kg/ha-1) were applied to the mustard var. Bio-902 as soil application with uniform application of nitrogen, phosphorus and potassium as per recommended doses. The main findings of investigation are summarized as:- (i) The increasing levels of vermicompost application increased the plant height, number of siliquae per plant, number of seeds per siliqua, test weight, seed and stover yield as well as content and uptake of nitrogen, phosphorus, potassium, sulphur, zinc and iron in seed and stover, oil content in seed, net returns and B:C ratio as compared to control. The pH and EC of soil decreased whereas, organic carbon and available N, P2O5, K2O, S, Zn, Fe, Mn and Cu content of soil at harvest stage of crop were increased significantly with increasing levels of vermicompost. (ii) the application of different nutrients increased significantly the plant height, number of siliquae per plant, number of seeds per siliqua, test weight, seed yield, stover yield, content and uptake of nitrogen, phosphorus, potassium, sulphur, zinc and iron in seed and stover, oil content in seed and net returns and B:C ratio as compared to control. The application of different nutrients significantly enhanced the available N, P2O5, K2O, S, Zn, Fe, Mn and Cu content of soil whereas, the effect on pH, EC and organic carbon were found nonsignificant at harvest stage of crop. (iii) The combined application of vermicompost and different nutrients was more beneficial for increasing seed, stover yield, and zinc and iron uptake by seed and net returns of mustard as compared to their individual application. The higher seed yield, Zn uptake by seed, Fe uptake by seed and net returns (2099.02 kg ha-1, 894.60, 3563.69 g ha-1 and 53773 Rs. ha-1) were obtained under the combined application of vermicompost @ 5 t ha-1 + different nutrients (S @ 40kg/ha-1 + iron @ 9.5kg/ha-1 + zinc @ 5kg/ha-1), respectively.Keywords
RDF, NPK, Vermicompost, Stover, Mustard.References
- Anonymous (2013). Agricultural statistics at a glance, Directorate of Economics and Statistics, Department of Agriculture and Cooperation. Govt. of India.
- Anonymous (2014). Status paper on oilseed (Oilseed Division). Department of Agriculture and Cooperation Publication, Ministry of Agriculture, Govt. of India, Krishi Bhawan, New Delhi, pp. 43-52.
- Badiyala, D. and Chopra, P. (2011).Effect of zinc and FYM on productivity and nutrient availability in maize (Zea mays) - linseed (Linum usitatissimum) cropping sequence. Indian J. Agron., 56: 88-91.
- Bameri, M., Abdolshahi, R., Mohamadi, N.G., Yousefi, K. and Abatabaie, S.M. (2012). Effect of different microelement treatments on wheat (Triticum aestivum) growth and yield. Internat. Res. J. Appl. & Basic Sci., 3 (1):219-223.
- Jackson, M.L.(1967). Soil chemical analysis, Prentice Hall of India Pvt. Ltd., New Delhi, India p.205.
- Kansotia, B.C., Meena, R. and Meena, V. (2013). Effect of vermicompost and inorganic fertilizers on Indian mustard (Brassica juncea L.). Asian J. Soil Sci., 8(1): 136-139.
- Kansotia, B.C., Sharma, Y. and Meena, R.S. (2015). Effect of vermicompost and inorganic fertilizers on soil properties and yield of Indian mustard (Brassica juncea L.). J. Oilseed Brassica, 6 (1): 198-201.
- Kumar, A., Kumar, S., Kumar, P., Kumar, A., Kumar, S., Arya, S. and Kumar, S. (2014). Effect of zinc and iron application on yield and acquisition of nutrient on mustard crop (Brassica juncea L.). Internat. J. Agric. Sci., 10 (2): 797-800.
- Lindsay, W.L. and Norvell, W.A. (1978). Development of a DTPA soil test for zinc, iron, manganese and copper. Soil Sci. Soc. America J., 42: 421–428.
- Singh, V., Verma, S., Srivastava, V. K., Mohd, A.K. and Aslam, T. (2014). Studies on integrated nutrient management in mustard [Brassica juncea (L.) Czern & Cosson]. Internat. J. Agric. Sci., 10(2) : 667-670.
- Snell, F. D. and Snell, C. T. (1949). Colorimetrie methods of analysis, 3rd Ed., D. Van Nostrand Co., Inc., New York, 950 p.
- Genetic Analysis of Sesamum indicum L. Germplasm Using RAPD Markers
Abstract Views :207 |
PDF Views:1
Authors
Affiliations
1 Department of Agriculture, Bhagwant University, Ajmer (Rajasthan), IN
2 Department of Agricultural Biotechnology, Bhagwant University, Ajmer (Rajasthan), IN
1 Department of Agriculture, Bhagwant University, Ajmer (Rajasthan), IN
2 Department of Agricultural Biotechnology, Bhagwant University, Ajmer (Rajasthan), IN
Source
Asian Journal of Bio Science, Vol 12, No 2 (2017), Pagination: 194-201Abstract
Genetic diversity among 14 sesame (Sesamum indicum L.) accessions was examined at DNA level by means of random amplified polymorphic DNA (RAPD) analysis. Twenty primers used to produce a total of 201 RAPD fragments, of which 120 (59.70%) were polymorphic. Each primer generated 4 to 15 amplified fragments with an average of 10.05 bands per primer. Based on pair-wise comparisons of RAPD amplification products, simple match similarity co-efficients were computed to assess the associations among the accessions. Pair-wise similarity indices varied from 0.63 to 0.91. A UPGMA cluster analysis based on these genetic similarities located most of the accessions far apart from one another, showing a high level of polymorphism. Genetically, all the genotypes were classified into four major clusters. A single accession (Kayamkulam) was relatively distinct from rest of the accessions and created independent cluster. In conclusion, even with the use of a limited set of primers, RAPD technique revealed a high level of genetic variation among sesame accessions collected from diverse ecologies of India. This high level of genetic diversity among the genotypes suggested that RAPD technique is valuable for sesame systematic and can be helpful for the upholding of germplasm banks and the competent choice of parents in breeding programmes.Keywords
RAPD, DNA, Genetic Analysis, Germplasm, Sesame.References
- Ali, M.A., Niaz, S., Abbas, A., Sabir, W. and Jabran, K. (2009). Genetic diversity and assessment of drought tolerant sorghum landraces based on morph-physiological traits at different growth stages. POJ, 2: 214-227.
- Anonymous (2000). FAO production year book. Food and Agriculture Organization of the United Nations, Rome Italy, 54 : 123.
- Anonymous (2003). FAO production yearbook, 2002. Food and Agriculture Organization of the United Nations, Rome Italy, 271p.
- Ashri, A. (1995). Sesame research overview: current status, perspectives and priorities. In: Bennet, M.R. and Wood, I.M.(Eds.), Proc. 1st Australian Sesame Workshop. Darwin andKatherine, Northern Territory.
- Ashri, A. (1998). Sesame breeding. Plant Breed. Rev., 16: 179-228.
- Baydar, H., Turgut, I. and Turgut, K. (1997). Variation of certain characters and line selection for yield, oil, oleic and linoleic acids in the Turkish sesame (Sesamum indicum L.) populations. Turk. J. Agric. For.,23: 431-441.
- Bhat, K.V., Babrekar, P.P. and Lakhanpaul,S. (1999). Study of genetic diversity in Indian and exotic sesame (Sesamum indicum L.) germplasm using random amplified polymorphic DNA (RAPD) markers. Euphytica,110 : 21- 33.
- Dixit, A., Jin, M.H. and Chung, J.W. (2005).Development of polymorphic micro satellite markers in sesame (Sesamum indicum L.). Mol. Ecol. Notes,5 : 736-738.
- Ercan, A.G., Taskin, M. and Turgut, K. (2004). Analysis of genetic diversity in Turkish sesame (Sesamum indicum L.) populations using RAPD markers.Genet. Resourc. Crop Evol.,51: 599-607.
- Furat, S. and Uzun, B. (2010). The use of agro-morphological characters for the assessment of genetic diversity in sesame (Sesamum indicum L.). POJ, 3 : 85-91.
- Futon, T.M., Chunwongse, J. and Tanksley, S.D. (1995). Microprep protocol for extraction of DNA from tomato and other herbaceous plants. Plant Mol. Biol. Rep., 13: 207-209.
- Hamid, K.A., Ibrahim, A.S., Taha, M.B. and Ahmed, M.E. (2003). Performance, interrelationship and path analysis of some yield component in sesame. U.J. Agric. Sci.,11: 305 - 320.
- Hamrick, J.L. and Godt, M.J.W. (1989). Allozyme diversity in plant species. In:Brown, A.H.D., Clegg, M.T., Kahler, A.L. and Weir, B.S., Ed. Plant population genetics, breeding and genetic resourses. Sunderland, MA: Sinauer Associates, 43–63pp.
- Hatam, M. and Abbasi, G.Q. (1994). Oilseed crops. In: Crop production. National Book Foundation, Islamabad. (Ed.). Nazir, S., Basher, E. and Bantel, R. pp. 319-389.
- Isshiki, S. and Umezaki, T. (1997). Genetic variations of isozymes in cultivated sesame (Sesamum indicum L.). Euphytica, 93 : 375-377.
- Jan, H.U., Rabbani, M.A. and Shinwari, Z.K. (2011). Assessment of genetic diversity of indigenous turmeric (Curcuma longa L.) germplasm from Pakistan using RAPD markers. J. Med. Plants Res.,5: 823-830.
- Kim, D., Zur, G., Danin-Poleg, Y. , Lee, S., Shim, K., Kang, C. and Kashi, Y. (2002). Genetic relationships of sesame germplasm collection as revealed by inter-simple sequence repeats. Plant Breed.,121: 259-262.
- Kobayashi, T., Kinoshita, M., Hattori, S., Ogawa, T., Tsuboi, Y., Ishida, M., Ogawa, S. and Saito, H. (1990). Development of the sesame metallic fuel performance code. Nucl. Technol., 89: 183-193.
- Ko, M.K., Yang, J., Jin, Y.H., Lee, C.H. and Oh, B.J. (1998). Genetic relationships of Viola species evaluated by random amplified polymorphic DNA analysis. J. Hort. Sci. Biotech.,74: 601-605.
- Laurentin, H.E. and Karlovsky, P. (2006). Genetic relationship and diversity in sesame (Sesamum indicum L.) germplasm collection using amplified fragment length polymorphism (AFLP). BMC Genet.,7: 10.
- Li, M. and Midmore, D.J. (1999). Estimating the genetic relationships of Chinese water chestnut [Eleocharisdulcis (Burm. f.) Hensch.] cultivated in Australia, using random amplified polymorphic DNAs (RAPDs). J. Hort. Sci. Biotech.,74: 224-231.
- Masood, S., Ghafoor, A. and Javaid, A. (2003).Characterization and evaluation of plant genetic resources. Plant Genetic Resources Institute, NARC, Islamabad.
- Millan, T., Osuna, F., Cobos, S., Torres, A.M. and Cubero, J.I. (1996). Using RAPDs to study phylogenetic relationships in Rosa. Theor. Appl. Genet.,92: 273-277.
- Nayar, N.M. and Mehra, K.L. (1970). Sesame - its uses, botany, cytogenetics, and origin. Econ. Bot.,24: 20-31.
- Nei, M. and Li, W.H. (1979). Mathematical models for studying genetic variation in terms of restriction endonucleases. Proc. Natl. Acad. Sci. USA,76: 5269-5273.
- Pervaiz, Z.H., Rabbani, M.A., Shinwari, Z.K., Masood, M.S. and Malik, S.A. (2010). Assessment of genetic variability in rice (Oryza sativa L.) germplasm from Pakistan using RAPD markers. Pak. J. Bot.,42: 3369-3376.
- Rabbani, M.A., Pervaiz, Z.H. and Masood, M.S. (2008). Genetic diversity analysis of traditional and improved cultivars of Pakistani rice (Oryza sativa L.) using RAPD markers. Elect. J. Biotech.,11: 1-10.
- Rabbani, M.A., Masood, M.S., Shinwari, Z.K. and Shinozaki, K.Y. (2010). Genetic analysis of basmati and non-basmati Pakistani rice (Oryza sativa L.) cultivars using microsatellite markers. Pak. J. Bot.,42: 2551- 2564.
- Rohlf, F.J. (2000). NTSYSpc – numerical taxonomy and multivariate analysis system. Version 2.01. Applied Biostatistics Inc., Exeter Software, NY, USA.
- Salazar, B., Laurentin, H., Davila, M. and Castillo, M.A. (2006). Reliability of the RAPD technique for germplasm analysis of sesame (Sesamum indicum L.) from Venezuela. Interciencia, 31: 456-460.
- Sankar, D., Sambandam, G., Ramakrishna, R.M. and Pugalendi, K.V. (2005). Modulation of blood pressure, lipid profiles and redox status in hypertensive patients taking different edible oils. ClinicalChem. Acta, 355: 97-104.
- Schontz, D. and Rether, B. (1999).Genetic variability in foxtail millet, Setaria italica (L.) Beauv: identification and classification of lines with RAPD markers. Plant Breed., 118: 190-192.
- Stankiewicz, M., Gadamski, G. and Gawronski, S.W. (2001). Genetic variation and phylogenetic relationships of triazine resistant and triazine susceptible biotypes of Solanum nigrum analysis using RAPD markers.Weed Res.,41: 287- 300.
- Uzun, B., Lee, D. and Donini, P. (2003). Identification of a molecular marker linked to the closed capsule mutant trait in sesame using AFLP. Plant Breed.,122: 95-97.
- Williams, J.G.K., Kubelik, A.R., Livak, J., Rafalski, J.A. and Tingey, S.V. (1990). DNA polymorphisms amplified by arbitrary primers are useful as genetic markers. Nucleic Acid Res.,18: 6531-6535.
- Wood, R. (1999). The new whole foods encyclopedia: A comprehensive resource for healthy eating. Penguin Putnam Inc., NEW YORK, U.S.A.
- Yermamos, D.M. (1980). Sesame. In: Hybridization of crop plants. (Eds.): W.R. Fehr, H.H. Hadley. American Soc. Agron., CSSA, Madison.
- Genetic Variability, Divergence, Correlation and Path Analysis in Foeniculum vulgare Mill. Germplasm
Abstract Views :209 |
PDF Views:1
Authors
Affiliations
1 Department of Agriculture, Bhagwant University, Ajmer (Rajasthan), IN
2 Department of Agricultural Biotechnology, Bhagwant University, Ajmer (Rajasthan), IN
1 Department of Agriculture, Bhagwant University, Ajmer (Rajasthan), IN
2 Department of Agricultural Biotechnology, Bhagwant University, Ajmer (Rajasthan), IN
Source
Asian Journal of Bio Science, Vol 12, No 2 (2017), Pagination: 209-222Abstract
The importance of fennel is well realized on account of its high remunerative prices, domestic consumption, medicinal value and means to get earn foreign exchange. Despite the economic importance of fennel, disease resistant, locally acceptable and high yielding crop. The present investigation was therefore, carried out to estimate the magnitude and nature of genetic variability in terms of variation, heritability, genetic advance and genetic diversity for different traits like seed yield per plant and yield contributing traits in a set of 50 germplasm with four checks and extent of environmental influence on these traits, form the basis on which a breeder can predict the extent of dependence on phenotypic selection for improvement of traits. The analysis of variance revealed that significant amount of variability was present in germplasm lines for almost all morphological traits studied as days to germination, 50 per cent flowering, king umbel anthesis, number of number of primary branches, number of secondary branches, plant height (cm), diameter of king umbel (cm), number of umbels per plant, number of umbellates per umbel, number of seeds per umbel, at a test-weight (g) and seed yield (g). A wide range of mean for yield and some of its contributing traits indicates good chance for improvement of yield through direct selection or by transferring desired traits. On the basis of mean performance of yield and other yield contributing morphological traits, the germplasm AF-22, AF-63, AF-85, AF-96, AF-128, AF-48, AF-45, AF-62, AF-47, AF-58, AF-80, AF-154, AF-32, AF-44, AF-108, AF-140, AF-134, AF-22, AF-63, AF-85, AF-96, AF-128, AF-48, AF-45, AF-62, F-47, AF-58, AF-80, AF-154, AF-32, AF-44, AF-108, AF-140, AF-134, AF-22, AF-63, AF-85, AF-96, AF-128, AF-48, AF-45, AF-62, AF-47, AF-58, AF-80, AF-154, AF-32, AF-44, AF-108, AF-140, AF-134, were found to be superior. The variability of characters was compared on the basis of co-efficient of variation. The genotypic co-efficient of variation (GCV) and phenotypic co-efficient of variation (PCV) were worked out. Higher GCV (genotypic co-efficient of variation) was recorded for number of umbels per plant (15.7), seed yield (12.4) and number of secondary branches per plant (12.3), it expresses the true genetic potential which indicated the presence of high amount of genetic variability for these characters thus, selection may be more effective for these characters because the response to selection is directly proportional to the component of variability, while, number of seeds per umbellate (11.9), king umbel diameter (10.8) and umbellate per umbel showed moderate to high genotypic co-efficient of variation. Whereas primary branches (9.6), test weight (8.1) showed low magnitude of genotypic co-efficient of variation. Higher PCV was recorded for number of umbels per plant (16.7), king umbel diameter (14.3) and number of secondary branches per plant (14.0), while, seed yield (g) (12.5), number of seeds per umbellate (12.1) and number of umbellates per umbel (11.1) showed moderate to high phenotypic co-efficient of variation. Whereas number of primary branches (10.6), test weight (g) (8.9) showed low magnitude of phenotypic co-efficient of variation.Keywords
Variability, Germplasm, Phenotypic, Heritability, Fennel.References
- Agarwal, P.C., Dev, U. and Rani, Indra (2001).Fusarium species intercepted in exotic crop germplasm during 1976–99. Indian J. Agric. Sci.,71:736–739.
- Dewey, D. R. and Lu, K. H. (1959).A correlation and path co-efficient analysis of components of crested wheat grass seed production. Agron. J., 51(9): 515-518.
- Federer, W. T. (1956). Augmented (or hoonuiaku) designs. Hawaiian Planters' Record, 55 : 191-208.
- Girija Lakshman (1952). Taxonomical studies of a few economic genera in umbelliferae. M.Sc. Thesis, Madras University, MADRAS (INDIA).
- Goulden, C.E. (1962). The history of the cladoceran fauna of Esthwaite water (England) and its limnological significance, Arch. Hydrobiol., 60 : 1-52.
- Hanson, W. D., Robinson, H. F. and Comstock, R. E. (1956). Biometrical studies of yield in segregating populations of Korean lespedeza. Agron. J., 48: 268 - 272.
- Johnson, H.W., Robinson, H.F. and Comstock, R.E. (1955). Estimate of genetic and environmental variability in soybean. Agron. J., 47(6): 314-318.
- Singh, R.K. and Chaudhary, B.D. (1979). Biometrical methods in quantitative genetic analysis. Kalyani Publication, New Delhi, India, 120 pp.
- Heterosis Breeding in Tomato for Yield and Quality Contributing Trait
Abstract Views :212 |
PDF Views:2
Authors
Affiliations
1 Department of Agriculture, Bhagwantn University, Ajmer (Rajasthan), IN
2 Department of Agricultural Biotechnology, Bhagwant University, Ajmer (Rajasthan), IN
1 Department of Agriculture, Bhagwantn University, Ajmer (Rajasthan), IN
2 Department of Agricultural Biotechnology, Bhagwant University, Ajmer (Rajasthan), IN
Source
Asian Journal of Bio Science, Vol 12, No 2 (2017), Pagination: 259-279Abstract
In the present study of correlation which revealed that average fruit weight, number of fruits per plant, equatorial fruit diameter, polar fruit diameter, titratable acidity, ascorbic acid content possessed significant positive correlation with total fruit yield and days to 50 per cent flowering and days to first fruit set was having high significant negative correlation with total fruit yield. On the other hand total soluble solids content have high significant positive correlation with lycopene content, total carotenoids content, total phenol content and total antioxidant capacity and total soluble solids exerted high significant negative correlation towards titratable acidity and ascorbic acid content. This study revealed that large size tomato fruits are not just good yielder moreover, they are also nutritionally very rich in quality. Path analysis studies in this research work revealed high direct positive effect of number of fruits per plant, equatorial fruit diameter, polar fruit diameter, days to first flowering, days to first fruit set on total fruit yield and quality both. While high negative direct effect on total yield was expressed by days to 50 per cent flowering, average fruit weight, lycopene content, total carotenoids content. Hence, selection for number of fruits per plant, equatorial fruit diameter and polar fruit diameter can be effectively done for improving yield. While heterosis studies showed that cross Pusa Rohini x CLNB possessed high significant SH towards days to first flowering, days to 50 per cent flowering, days to first fruit set. Arka Alok x CLNB posessed high significant BPH and SH heterosis in the desirable direction for total fruit yield, while Pusa Rohini x Sel-12 was having high significant standard heterosis for total soluble solids, lycopene content and total carotenoids content , respectively. On the basis of combining ability studies we were able to identify the best parents and hybrids based on GCA and SCA analysis. So on GCA basis Kashi Vishesh was found to be the best general combiner in relation to fruit yield per plant and total fruit yield whereas Sel-12 was found to be the best general combiner in relation to earliness while Pusa Rohini was found to be the best in relation to important biochemical aspects. While on SCA basis cross Arka Alok x CLNB was found to be the best specific cross combination for fruit yield per plant and total fruit yield. Whereas Pusa Rohini x CLNR was found to be the best specific cross combination in relation to biochemical parameters i.e. for total soluble solids content, lycopene content, total carotenoids content, total antioxidant capacity and ascorbic acid content.Keywords
GCV, SCA, CLNB, CLNR, DUS, PPV, FRA.References
- Al-Jibouri, H. A., Miller, P. A. and Robinson, H. F. (1958). Genetic and environmental variances and covariances in upland cotton cross of interspecific origin. Agron. J., 50 : 633-637.
- A.O.A.C. (1975). Official methods of analysis. 12th Ed. Association of Official Analytical Chemists, Washington, D.C., U.S.A.
- A.O.A.C. (2000). Official methods of analysis. 17th Ed., Association of Official Analytical Chemists, Washington, D.C., U.S.A.
- Apak, R., Guclu, K., Ozynrek, M. and Celik, S.E. (2008). Mechanism of antioxidant capacity assays and the CUPRAC (Cupric Ion Reducing Antioxidant Capacity) assay. Microchem. Acta, 160 : 413-419.
- Dewey, O.R. and Lu, K.H. (1959). A correlation and path co-efficient analysis of components of crested wheat grass seed production. Agron. J., 57:515-518.
- Hayes, H.K., Immer, F.R. and Smith, D.C. (1955).Methods of plant breeding. Mc. Graw Hill Book Co. Inc., NEW YORK, U.S.A.
- Hedrick, U. P. and Booth, N. O. (1968).Mendelian characters in tomato. Proc. Am. Soc. hort. Sci., 5 : 19-24.
- Johnson, W.W., Robinson, H. F. and Comstock, R. E. (1955). Genotypic and phenotypic correlation in soybeans and their implications in selection. Agron. J., 47: 477-482.
- Kaur, C., Walia, S., Nagal, S., Walia, S., Singh J., Singh, B.B., Saha, S., Singh, B., Kalia, P., Jaggi, S. and Sarika (2013). Functional quality and antioxidant composition of selected tomato (Solanum lycopersicon L.) cultivars grown in Northern India. LWT Food Sci. & Technol., 50: 139-145.
- Lee, H.S. (2001). Characterization of carotenoids in juice of red navel orange (Cara Cara). J. Agric. Food Chem., 49 : 2563–2568.
- Lush, J. L. (1949). Heritability of quantitative characters in farm animals.Hereditas, 35: 356 - 375.
- Panse, V.C. and Sukhatme, P.V. (1967). Statistical method for agric workers. IInd Enlarged Ed. ICAR. NEW DELHI, INDIA.
- Roy, S. K. (1973). A simple and rapid method for estimation of total carotenoids pigments in mango. J. Food Sci. Technol., 10: 45.
- Singh, M., Walia, S., Kaur, C., Kumar, R. and Joshi, S. (2010). Processing characteristics of tomato (Solanum lycopersicum) cultivars. Indian J. Agric. Sci., 80: 174-176.
- Singleton, V. L., Orthofer, R. and Lamuela Ranventos, R. M. (1999). Analysis of total phenols other oxidation substrates and antioxidants by means of folicciocalteu reagent. Method. Enzymol., 299 : 152-178.
- Thamburaj, S. and Singh, N. (2013). Tomato. In: Vegetables, tuber crops and spices. ICAR, Publishers, New Delhi, India, pp. 10-28.
- Wright, S. (1921). Correlation and causation. J. Agric. Res., 20 : 557-587.
- Response of Mustard to Potassium in Combination With Other Nutrients
Abstract Views :201 |
PDF Views:0
Authors
Affiliations
1 Department of Agriculture, Bhagwant University, Ajmer (Rajasthan), IN
2 Department of Agricultural Biotechnology, Bhagwant University, Ajmer (Rajasthan), IN
1 Department of Agriculture, Bhagwant University, Ajmer (Rajasthan), IN
2 Department of Agricultural Biotechnology, Bhagwant University, Ajmer (Rajasthan), IN
Source
The Asian Journal of Horticulture, Vol 12, No 2 (2017), Pagination: 169-184Abstract
Plant height and number of primary and secondary branches at different crop growth stages were not affected significantly due to different nutrient levels, however exhibited some improvement over control. Dry matter accumulation by individual plant increased with advancement in cropage till harvest. The highest dry matter accumulation were recorded at 100% NPK+S @ 40 kg/ha treatment. 100% NPK+FYM @ 2.5 t/ha (dry weight) and 100%NPK+ZnSO4 @ 25 kg/ha ranked second and third, respectively in dry matter accumulation after 100% NPK+S @ 40 kg/ha. Days taken to 50% flowering and 80% maturity remained unaffected by different nutrient application levels. 100% NPK+S @ 40 kg/ha recorded significantly higher number of total branches at harvest than remaining treatments. 100% NPK+Borax @ 0.2% (foliar) and 100% NPK+FYM @ 2.5 t/ha (dry weight) recorded next higher to values 100% NPK+S @ 40 kg/ha. Yield attributes viz. number of siliquae per plant, length of siliqua, 1000-seed weight and seed weight per plant were affected significantly due to different nutrient levels. 150% NPK recorded higher number of siliquae per plant, higher number of seeds per siliqua, length of siliqua, 1000-seed weight and seed weight per plant. 150% NPK recorded significantly higher values of seed, stover and biological yield per hectare than remaining treatments. This treatment was followed by 100% NPK+FYM @ 2.5 t/ha (dry weight). Harvest index did not differ significantly under different nutrient levels. The nutrients (N, P and K) concentration in seed and stover remained unaffected by different nutrient levels.The nutrients (N, P and K) uptake by seed, stover and crop was recorded maximum at 150% NPK. The protein content in seed was found non-significant under different nutrient levels. However, it was recorded maximum at 100% NP treatment. The protein yield was found maximum at 150% NPK. The oil content in seed was found non-significant under different nutrient levels. Oil yield in seed was recorded maximum at 150% NPK. The maximum net returns and gross return were recorded at 150% NPK. Highest return per rupee invested was recorded at 150% NPK which was followed by 50% NPK. However, the lowest return per rupee invested was recorded in control condition.Keywords
Borax, FYM, NPK, Plant Height, DAS.References
- Bartaria, A.M., Shukla, A.K., Kaushik, C.D., Kumar, P.R. and Singh, N.B. (2001). Major diseases of rapeseed-mustard and their management. NRC on Rapeseed-Mustard, ICAR, Sewer, Bharatpur (RAJASTHAN) INDIA.
- Davari, M.R. and Mirzakhani, M. (2009). Integrated nutrient management towards sustainable production of oilseeds and pulses. Intl. J. Agric. Crop Sci., 1(1): 24-32.
- GOI (Government of India) (2011). Agricultural Statistics at a Glance. Directorate of Economics and Statistics, Ministry of Agriculture, GOI, NEW DELHI, INDIA.
- Gupta, D.P. (2005). Effect of potassium on wheat in Uttaranchal. Thesis, M.Sc. G.B. Pant University of Agriculture and Technology. Pantnagar, UTTARAKHAND (INDIA).
- Mengel, K. and Kirkby, E.A. (2001). Principles of plant nutrition. 5th Ed. Kluwer Academic Publishers, Dordrecht, Boston, London. pp. 849.
- Pirri, Issa and Sharma, S.N. (2006). Effect of levels and sources of sulphur on yield attributes, yield and quality of Indian mustard (Brassica juncea). Indian J. Agron., 51(3): 217-220.
- USDA (2011). Foreign agriculture service, oilseeds: World markets and trade. Circular Series, FOP 1-11, 2011, January.
- Drip Fertigation Study in Spring Maize (Zea mays L.)
Abstract Views :178 |
PDF Views:0
Authors
Affiliations
1 Department of Agricultural, Bhagwant University, Ajmer (Rajasthan), IN
2 Department of Agriculture, Bhagwant University, Ajmer (Rajasthan), IN
3 Department of Agricultural Biotechnology, Bhagwant University, Ajmer (Rajasthan), IN
1 Department of Agricultural, Bhagwant University, Ajmer (Rajasthan), IN
2 Department of Agriculture, Bhagwant University, Ajmer (Rajasthan), IN
3 Department of Agricultural Biotechnology, Bhagwant University, Ajmer (Rajasthan), IN
Source
International Journal of Agricultural Engineering, Vol 10, No 2 (2017), Pagination: 379-400Abstract
Drip system can control the rate of water application to achieve application efficiency as high as 92-95%. It is also excellent for soil with higher infiltration rates. In conventional way of nutrient management, the P and K are applied as basal. However, the demand for these two macro-nutrients remains high during the entire growing season. Splitting of K was more beneficial than applying full K at time of planting in soybean. Maize is one of the crop that responses well to phosphatic fertilizers in almost all the soil types. Phosphorus plays vital role in plant nutrition. The deficiency of phosphorus in soil severely limits ischolar_main and shoot growth and thereby affecting the yield. The experiment consisting of 3 irrigation regimes (100% CPE, 80% CPE and 60% CPE), 2 fertilizer dose (75% RDF and 100% RDF), 2 PK splitting (equal and 70/30) along with 2 control treatments (flood IW: CPE 0.8 with mulch and flood IW:CPE 1.0) was laid out in Split Plot Design with three replications. From findings of present investigation based on cob weight without husk it can be inferred that spring maize in sandy loam soil should be irrigated at 80% CPE. It should be fertilized at 90:45:30 N, P2O5, K2O kg/ha with PK application as 70% upto tasseling and 30% thereafter.Keywords
CPE, RDF, PK,LAI, NPK.References
- Brown, R.L., Cotty, P. J. and Cleveland, T.E. (1991). Reduction in aflatoxin content of maize by atoxigenic strains of Aspergillus flavus. J. Food Prot., 54 : 623–626.
- Jackwon, M.L. (1973). Soil chemical analysis, Prentice Hall of India Pvt. Ltd., New Delhi, p. 38-56.
- Kanaan, N.M., Pigino, G.F., Brady, S.T., Lazarov, O., Binder, L.I. and Morfini, G.A. (2013). Axonal degeneration in Alzheimer's disease: when signaling abnormalities meet the axonal transport system. Exp. Neurol., 246 : 44-53.
- Narayanamoorthy, A. (2005). Economics of drip irrigation in sugarcane cultivation: Case study of a farmer from Tamil Nadu. Indian J. Agric. Econ., 60 : 235-248.
- Singh, K.B., Jalotha, S.K. and Gupta, R.K. (2015). Soil water balance and response of spring maize (Zea mays) to mulching and differential irrigation in Punjab. Indian J. Agro., 60 (2): 279-284.
- Yazar, A., Sezen, S.M. and Gencel, B. (2002). Drip irrigation of corn in the Southeast Anatolia Project (GAP) area in Turkey. Irrig. Drain, 51: 293-300.
- Response of Single-Cut Fodder Sorghum Genotypes to Fertility Levels under Rainfed Conditions of Rajasthan
Abstract Views :153 |
PDF Views:0
Authors
Affiliations
1 Department of Agriculture, Bhagwant University, Ajmer (Rajasthan), IN
2 Department of Agricultural Biotechnology, Bhagwant University, Ajmer (Rajasthan), IN
1 Department of Agriculture, Bhagwant University, Ajmer (Rajasthan), IN
2 Department of Agricultural Biotechnology, Bhagwant University, Ajmer (Rajasthan), IN
Source
International Journal of Agricultural Engineering, Vol 10, No 2 (2017), Pagination: 423-440Abstract
The objectives were to study the appropriate sorghum fodder variety for this zone, work out the optimum fertility level for test genotypes and to study the economically viable treatment. Soil of experimental field was calcareous in nature, medium in available nitrogen (272.00), phosphorus (21.69) and high in available potassium (284.60). The experiment consisted of 24 treatment combinations comprising four levels of fertility (50, 75, 100 and 125% RDF) and six varieties (SPV-2185, SPV-2191, CSV-21F, HC- 308, CSV-30F and PC-1080) laid out in Factorial Randomized Block Design and replicated thrice. The result showed that among the genotypes, SPV-2185 produced maximum plant height, DMA at 25, 50DAS and at harvest, stem girth and number of leaves plant-1 at harvest, green and dry fodder yield, crude protein, ether extract, crude fibre mineral ash content and TDN in fodder. This genotype also estimated significantly gross and net returns over rest of the genotypes. However, maximum HCN content at 25 and 50DAS, organic carbon, available P and K status in soil after harvest with variety SPV-2191. Genotype CSV-21F produced maximum nitrogen status in soil. An application of 125% RDF recorded maximum plant height, stem girth, number of leaves at harvest, dry matter accumulation at various growth stages, green fodder and dry fodder yield, crude protein, crude fibre, ether extract, mineral ash content, TDN, HCN at 25 and 50 DAS, available organic carbon nitrogen phosphorus and potassium in soil after harvest over lower doses in all the above parameters. Highest nitrogen free extract were obtained under 50% RDF while, the lowest being recorded fewer than 125% RDF. In case of gross return, net return and B:C ratio with application of 125% RDF recorded significantly higher over 50% RDF, 75% RDF and 100% RDF.Keywords
DMA, TDN, HCN, SPV-2191, CSV-21F.References
- A.O.A.C. (2012). Official methods of analysis. 19th Ed. Association of Official Analytical Chemist, Washington D.C.
- Black, C.A. (1965).Methods of soil analysis. American Society of Agronomy, Inc. Madison, Wisconsin.
- Bowles, J.E. (1992). Engineering properties of soils and their measurements, 4thEd., McGraw-Hill, USA.
- Brady, N.C. and Weil, R.R. (2002). The nature and properties of soils. 12th Ed.. Pearson Education Pvt. Ltd. pp. 622-627.
- Gilchrist, D.G., Luechen, W.E. and Hittle, C.N. (1967). Revised method for preparation of standards in the sodium picrate assay of HCN. Crop Sci., 7(3): 267-268.
- Hogg, P.G. and Ahlgreen, H.L. (1942). A rapid method for determining HCN content of single plant of Sudangrass. J. American Soc. Agron., 34 (2): 199-200.
- Jackson, M.L. (1967). Soil chemical analysis, Prentice-Hall of India, New Delhi.
- Knowles, F. and Watkins, J.E. (1960). A practical course in agricultural chemistry. Mac Millan and Co., London, pp. 93-94.
- Landor, J. R. (1991). Brooker tropical soil manual. A handbook for soil survey in the tropics and subtropics. (pp. 106-144). England: Longman Group.
- Moore, L.A., Irwin, H.M. and Show, J.C. (1953). Relationship between TDN and energy values of feeds. J. Dairy Sci., 36(2): 93-97.
- Olsen, S.R., Cole, C.V., Wantnable, F.S. and Dean, L.A. (1954). Estimation of available phosphorus in soil by extraction with HNO3. In: Diagnosis and improvement of saline and alkaline soils. USDA Handbook No 60.
- Ranjan, S.K. (1983). Animal and feeding practices. 3rd Revised edition. pp: 93-104.
- Richards, L.A. (1954). Diagnosis and improvement of saline and alkaline soils, USDA Hand book No. 60, Oxford and IBH Pub. Co., New Delhi.
- Sheoran, R.S. and Rana, D.S. (2006). Relative efficiency of azotobacter and nitrogen fertilizer in forage sorghum (Sorghum bicolor L.) under semi-arid conditions. Forage Res., 32 (2) : : 65-68
- Subbiah, B.V. and Asija, G.L. (1956). A rapid procedure for available nitrogen in soil. Curr. Sci., 25(8): 259-260.
- Fertilizer Management in Hordeum vulgare L.
Abstract Views :255 |
PDF Views:0
Authors
Affiliations
1 Department of Agriculture, Bhagwant University, Ajmer (Rajasthan), IN
2 Department of Agricultural Biotechnology, Bhagwant University, Ajmer (Rajasthan), IN
1 Department of Agriculture, Bhagwant University, Ajmer (Rajasthan), IN
2 Department of Agricultural Biotechnology, Bhagwant University, Ajmer (Rajasthan), IN
Source
International Journal of Agricultural Sciences, Vol 14, No 1 (2018), Pagination: 34-45Abstract
A field experiment was conducted at Bhagwant University, Ajmer during Rabi, 2016-17 on loamy sand soil, which consisted of 4 fertility levels (control, 50, 75 and 100% RDF) and 5 foliar spray (water spray, 2% urea, 3% urea, 2% DAP and 2% KCl spray at tillering and flowering) there by making 20 treatment combinations were tested in Randomized Block Design with three replications. Results indicated that application of 100% RDF significantly increased the plant height at harvest, number of tillers per meter row length at 90DAS and at harvest, dry matter accumulation per meter row length, number of spikes per plant, spike length, seeds per spike, yields (seed, straw and biological), total uptake of nitrogen and potassium and net returns over preceding levels. Whereas, plant height at 60, 90 DAS, total number of tillers per meter row length at 60 DAS and potassium concentration in seed and straw and total uptake of phosphorus increased significantly upto 75% RDF. However, in respect of plant height at 30 DAS, chlorophyll content and harvest index and the treatments 50 to 100% RDF remained almost same. Results further indicated that among foliar spray treatments, application of 2% urea as foliar spray being at par with 2% DAP, 3% urea and 2% KCl spray, significantly increased plant height, total number of tillers per meter row length, dry matter accumulation per meter row length, chlorophyll content in leaves, spike per plant, number of seeds per spike, spike length, yields (seed, straw and biological), protein content, nitrogen, phosphorus and potassium concentration in seed and straw, total uptake of nitrogen, phosphorus, potassium and net returns over water sprayed control. Application of 75% RDF with 2% urea spray proved to be the best treatment combination in terms of number of tillers per meter row length and seed yield.Keywords
RDF, Biological Control, Spray, Protein, Barley.References
- Anonymous (2016). First advance estimates of production of food grains for 2016-17. Agricultural Statistics Division. Directorate of Economics and Statistics, Department of Agriculture, Co-operation and Farmers Welfare, Ministry of Agriculture and Farmers Welfare, Govt. of India, NEW DELHI, INDIA.
- Aron, D. (1949). Copper enzymes isolated chloroplasts, polyphenoloxidase in Beta vulgaris. Plant Physiol., 24: 1-15.
- Association of Official Analytical Chemists-AOAC. (1990). Official methods of analysis, 15th Ed. AOAC,Washington, D.C, pp 556. the Sea. ISSN 0903-2606.
- Bhargava, B.S. and Raghupathi, H.B. (1993). Analysis of plant material for macro and micro nutrients. In:Methods of Analysis of Soils, plant waters and fertilizers. pp. 49-82. Tandon, H.L.S. (Ed.), FDCO, New Delhi, India.
- Bremner, J.M. (1960). Determination of nitrogen in soil by Kjeldahl method. J. Agric. Sci., 117 : 76-83.
- Jackson, M.L. (1973). Soil chemical analysis. Prentice Hall of India Pvt. Ltd. NEW DELHI, INDIA.
- Olsen, S.R., Cole, G.V., Wattnable, F.S. and Dean, L.A. (1954).Estimation of available P in soils by extraction with sodium bicarbonate. USDA Circ.939.
- Piper, C.S. (1966). Soil and plant analysis, Hans Publishers, Bombay, pp. 368.
- Raghupatahi, H.B. and Bhargava, B.S. (1995). Concentration and distribution of nutrients in different parts of mango fruit. South Indian Hort., 42: 259-267.
- Richards, L. A. (1968) Diagnosis and improvement of saline and alkali soils. Handbook No. 60, United States Department of Agriculture, Washington, D.C., U.S.A.
- Singh, I. D. and Stoskopf, N. C. (1971). Harvest index in cereals. Agron. J., 63: 224-226.
- Snell, F. D. and Snell, C.T. (1949). Colorimetrie methods of analysis, 3rd Ed., New York, D. Van Nostrand Co., Inc., 950 p.
- Soil Survey Staff (1975). Soil taxonomy. A basic key making and interpreting soil surveys. USDA, Hard Book No. 436, US. Govt. Printing Press, Washington, D.C., U.S.A.
- Subbiah, B.V. and Asija, G.L. (1956). A rapid procedure for the estimation of available nitrogen in soils. Curr. Sci., 25: 259-260.
- Yadav, L.R. (2006). Effect of foliar nutrition on chickpea (Cicer arietinum) productivity under rainfed condition. In : National symposium on conservation agriculture and environment held on October 26-28, 2006, Banaras Hindu University, Varanasi (U.P.) INDIA.
- Yadav, L.R. and Gupta, S.C. (2007).Effect of seed priming and foliar spray of urea on yield attributes yield and nitrogen status in leaves and developing grains of chickpea. In: National symposium of legumes for ecological sustainability: Emerging challenges and opportunities held on November 3-5, 2007, Indian Institute of Pulses Research, Kanpur (U.P.) INDIA.