Refine your search
Collections
Journals
Year
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 :186 |
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.
- Response of Mustard to Potassium in Combination With Other Nutrients
Abstract Views :200 |
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.