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Co-Authors
- U. P. Shahi
- Manoj Kumar
- B. P. Dhyani
- Yogesh Kumar
- Shashi Bhushan Kumar
- Madhukar Kumar
- Brajendra
- B. K. Jha
- A. K. Dwivedi
- Rakesh Ranjan
- Maya Kumari
- Himanshu Singh
- Pradeep Prasad
- A. K. Sinha
- B. Kumar
- N. C. Gupta
- Arvind Kumar
- D. K. Shahi
- B. Kagarwal
- Rakesh Kumar
- Y. K. Singh
- Nehatoppo
- Aniruddha Sarkar
- Deo Kumar
- Sanjeev Kumar Gupta
- Sunil Kumar
- S. K. Choudhary
Journals
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Kumar, Ashok
- Effect of Nitrogen Scheduling on Nitrogen Use Efficiency and Performance of Wheat (Triticum aestivum L.) in Light Textured Soil
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Authors
Affiliations
1 Department of Soil Science, Sardar Vallabhbhai Patel University of Agriculture and Technology, Meerut (U.P.), IN
1 Department of Soil Science, Sardar Vallabhbhai Patel University of Agriculture and Technology, Meerut (U.P.), IN
Source
An Asian Journal of Soil Science, Vol 11, No 1 (2016), Pagination: 78-81Abstract
A field experiment was conducted on wheat (Triticum aestivum L.) during Rabi season of 2005-06 at Crop Research Center of Sardar Vallabhbhai Patel University of Agriculture and Technology, Modipuram, Meerut. The experiment was aimed to evaluate the effect of different nitrogen scheduling and LCC based nitrogen scheduling in wheat. The experiment comprised of ten treatments was laid out in Randomized Block Design, with three replications. The major treatments were, control (where no nitrogen was applied ), 50 % N in basal+25 % N at CRI + 25 % at tillering stage, 25 % N in basal + 25 % N at CRI + 25 % N at tillering + 25 % N at jointing stage, 37.5 % N in basal + 25 % at CRI + 37.5 % N at tillering stage, 50 % N at CRI + 50 % N at tillering stage, 50 % N at CRI + 25 % N at tillering + 25 % N at jointing stage, 50 N in basal + 25% N at tillering + 25% N at jointing stage, 25% N in basal + 37.5% N at CRI + 37.5 % N at tillering, 25% N in basal + 50% N at CRI + 25% N at tillering stage, and nitrogen applied on LCC (Leaf colour chart) based. In different nitrogen scheduling treatments, LCC based nitrogen scheduling treatment was found most efficient than recommended and other nitrogen scheduling treatments in terms of increased wheat yield and nitrogen use efficiency. Application of 25% N in basal + 50% N at CRI + 25% N at tillering stage was also found superior than other treatments, increased these parameters, but it was inferior to the LCC based nitrogen scheduling treatment. AEN and REN also improved due to LCC based nitrogen application. LCC based nitrogen scheduling practice also reduces the over application of nitrogen which can be susceptible to different losses including leaching, ammonium volatilization and runoff.Keywords
Nitrogen Use Efficiency, LCC, Nitrogen Scheduling.
References
- Angadi, V. V. and Rajkumar, S. (2002). Determining the leaf colour chart threshold value for nitrogen management in rice. Internat. Rice Res. Notes., 27(2): 34-35.
- Budhar, M.N. and Tamilselvan, N. (2003). Leaf colour chart based nitrogen management in wet seeded rice. Internat. Rice Res. Notes, 28 (1): 63-64.
- Cassman, K.G., Peng, S., Olk, D.C., Ladha, J. K., Reichardt, W., Dobermann, A. and Singh, U. (1998). Opportunities for increased nitrogen use efficiency from improved resource management in irrigated low land rice systems. Field Crops Res., 56 : 7-38.
- Craswell, E.T. and Vlek, P.L.G. (1982). Nitrogen management for submerged rice soils. In proceeding papers ii. Vertisols and rice soils of trophics. Transaction 12th cong. Int. Soil. Sci., 3 : 158-181.
- Ladha, J. K., Dawe, D., Pathak, H., Padre, A .T., Yadav, R. L., Singh, Bijay., Singh, Yadvander., Singh, P., Kundu, A. K., Sakal, R., Ragmi, Ram N., Gami, A. P., Bandari, S. K., Anin, A. N., Yadav, K. and Bhattarai, C.R. (2003). How extensive are yield declines in long term rice-wheat experiment in Asia. Field Crops Res., 81:159-180.
- Manjappa, K., Nagaraj-Katoraki and Kelaginamani, S.V. (2006). Leaf colour chart is a simple tool for integrated nitrogen management in rain-fed low land rice. Karnataka J. Agric. Sci., 19 (1): 84-89.
- Mishra, H.S. (2006).The hindu survey of Indian Agriculture. 47-48pp.
- Shukla, Arvind K., Ladha, Jagdish K., Singh, V.K., Diwivedi, B.S., Balasurbmaniam, Vethaiya, Gupta, Raj K., Sharma, S.K., Singh, Yogendra, Pathak, H., Pandey, P.S., Padre, Agnes T. and Yadav, R.L. (2004).Calibrating the leaf colour chart for nitrogen management in different genotype of rice and wheat in a systems perspective. Agron. J., 96 (6): 1606-1621.
- Evaluating Fertilizer Applications on Spectral Behaviour of Rice Crop Using Remote Sensing Technique
Abstract Views :210 |
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Authors
Shashi Bhushan Kumar
1,
Madhukar Kumar
2,
Ashok Kumar
3,
Brajendra
4,
B. K. Jha
4,
A. K. Dwivedi
3,
Rakesh Ranjan
3,
Maya Kumari
3,
Himanshu Singh
3,
Pradeep Prasad
3
Affiliations
1 Department of Soil Science and Agricultural Chemistry, Birsa Agricultural University, Ranchi (Jharkhand), IN
2 Department of Soil Science and Agricultural Chemistry, Birsa Agricultural University, Ranchi (Jharkhand), IN
3 Department of Soil Science and Agricultural Chemistry, Birsa Agricultural University, Ranchi (Jharkhand), IN
4 ICAR Indian Institute of Rice Research, Hyderabad (Telangana), IN
1 Department of Soil Science and Agricultural Chemistry, Birsa Agricultural University, Ranchi (Jharkhand), IN
2 Department of Soil Science and Agricultural Chemistry, Birsa Agricultural University, Ranchi (Jharkhand), IN
3 Department of Soil Science and Agricultural Chemistry, Birsa Agricultural University, Ranchi (Jharkhand), IN
4 ICAR Indian Institute of Rice Research, Hyderabad (Telangana), IN
Source
An Asian Journal of Soil Science, Vol 11, No 1 (2016), Pagination: 126-131Abstract
Present experiments were conducted at the research farm of Indian Agricultural Research Institute, New Delhi during Kharif 1999 and Kharif 2001 to study the influence of nitrogenous fertilizer on the tilth of rice crop by remote sensing technique. Spectral radiance observations of the crop canopy were collected with the Portable Spectroradiometer which scanned from 330 nm to 1100 nm of electromagnetic spectrum range at 5nm interval (band-width). Normalized difference vegetation index was calculated for the both tillage practices, puddle and unpuddled situation at different growth stages for different fertilizer treatment. Fertilized plots were observed to have a higher value of BR than controlled ones throughout the crop growth period, both in puddled and unpuddled treatments. The higher values of band ratio were observed in puddled rice compared to the unpuddled rice irrespective of growth stages and fertilizer application levels. Statistical correlations were developed between NDVI (Normalized difference vegetation index) and RVI (Ratio vegetation index) with LAI (Leaf area index), DM (Dry matter) production and total leaf chlorophyll content. Second order polynomial equations were developed to correlate remotely sensed data with crop biometrics. Polynomial second order equations of 'band ratio' were found to be better fitted than NDVI with crop biometrics.Keywords
NDVI, Puddle, Unpuddled, Rice, Fertilizer.References
- Allen, W.A. and Richardson, A.J. (1986). Interaction of light with a plant canopy. J. Optical Soc. America, 58: 1023-1028.
- Aparicio, N., Villegas, D., Casadesus, J., Araus, J.L. and Royo, C. (2000). Spectral vegetation indices as nondestructive tool for determining durum wheat yield. Agron. J., 92 (1): 83-91.
- Bajpai, R.K. and Tripathi, R.P. (2000). Evaluation of nonpuddling under shadow water tables and alternative tillage methods as soil and crop parameters in a rice-wheat system in Uttar Pradesh. Soil Tillage Res., 55 (1-2): 99-101.
- Birth, G.S. and McVey, G.R. (1968). Measuring the colour of turf with a spectrophotometer. Agron, J., 60: 640-643.
- Field, C.B., Gamon, J.A. and Pnuelas, J. (1993). Remote sensing of terrestrial photosynthesis. In: Ecophysiology of photosynthesis (Eds ED Schulze and MM Caldwell), Ecological Studies, 100.
- Gilabert, M.A., Gandia, S. and Melia, J. (1996). Analysis of spectral biophysical relationships for a corn canopy. Remote Sens. Environ., 55: 11-20.
- Gopal, M., Devi, K.R. and Lingam, B. (1999).Effect of seeding density, level and time of N applicationin direct sown rice under puddle contions. J. Res. ANGRAU, 27 (1-2): 53-55.
- Goward, S.N., Tucker, C.J. and Dye, D.G. (1985). North American vegetation patterns observed with NOAA-7 advanced very highresolution radiometer. Vegetatio, 64:3-14.
- Hiscox, J.D. and Israelstam, G.F. (1979). Amethod for the extraction of chlorophyll from leaf tissue without maceration Can. J. Bot., 57: 1332-1334.
- Jago, R.A. and Curran, P.J. (1995). The effect of land contamination on the relationship between the red edge and chlorophyll concentration of a grass and canopy. In RSS95: Remote Sensing in Action, Nottingham: Remote Sensing Society, 442-449pp.
- Jain, V., Pal, M., Lakkineni, K.C. and Abrol, Y.P. (1999). Photosynthetic characteristics in two wheat genotypes as affected by nitrogen nutrition. Biologia. Plantarum, 42 (2): 217-222.
- Jamil, M., Shah, I.A., Mehdi, S.M. and Ismat, N. (1992). Effect of land preparation methods and fertilizer application on fertilizer use efficiency in rice KS 282. J Agric. Res. (Pak), 30 (4): 469-477.
- Lin, X.Z., Huang, Q.M. and Tu, Z.P. (1990). Studies on high yield cultivation of rice in Guangdong by controlling chlorophyll content and leaf area index. Jiangsu. J. Agric. Sci., 6: 20-26.
- Pandey, P.K., Pandey, M.D., Singh, Raghvendra and Singh, R. (2000). Response of medium land rice to sowing methods, moisture regimes and nitrogen levels. Crop Res., 1 (2):249-252.
- Rao, M.V. (1982).Wheat production problems in India. Proc. National seminar on productivity in wheat and wheat products, held in Vigyan Bhawan, New Delhi, April 29-30, pp. 5-9.
- Rouse, J.W., Haas, R.H., Schell, J.A. and Deering, D.W. (1973). Monitoring vegetation systems in the great plains with ETRS. In : Third ETRS Symp NASA Sp, 357(1) : 309-317.
- Sader, R., Pedroso, P.A.C., Epifania, L.C., Gavioli, E.A. and Mattos Junior, D. (1990). Effects of nitrogen fertilizer on chlorophyll contents, yield and seed quality of rice. Cientifica Jaboticabal, 18 (2):63-69.
- SAS (1998). Statistical analysis system/OR User’s guide SAS Institute, NORTH CAROLINA, USA.
- Sellers, P.J. (1987). Canopy reflectance, photosynthesis and transpiration. II The role of biophysics in the linearity of their interdependence. Remote Sens. Environ., 6 : 143-183.
- Srivastava, S.K., Nageswara, Rao, P.P. and Jayaraman, V. (1998). Towards space borne terrestrial imaging spectrometry. Scientific Report ISRO-NNRMS-SR: 41-98.
- Stutterheim, N.C. and Barbier, J.M. (1995).Growth and yield formation of irrigated, direct seeded rice as affected by nitrogen fertilizer. European J. Agron., 4 (3): 299-308.
- Wang, K., Shen Zhang Quan, Wang, K., Shen, Z.Q. and Wang, R.C. (1998).Effect of nitrogen nutrition on the spectral characteristics of rice leaf and canopy. Zhejiang Agric. Univ., 24 (1) : 93-97.
- Effect of Biozyme ® on Soil and Crop Biometrics in Rice-Wheat System
Abstract Views :195 |
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Authors
Shashi Bhushan Kumar
1,
Madhukar Kumar
1,
Ashok Kumar
1,
A. K. Sinha
1,
B. Kumar
1,
N. C. Gupta
1,
Arvind Kumar
1,
D. K. Shahi
1,
B. Kagarwal
1,
Rakesh Kumar
1,
A. K. Dwivedi
1,
Y. K. Singh
1,
Nehatoppo
1,
Aniruddha Sarkar
1
Affiliations
1 Department of Soil Science and Agricultural Chemistry, Birsa Agricultural University, Ranchi (Jharkhand), IN
1 Department of Soil Science and Agricultural Chemistry, Birsa Agricultural University, Ranchi (Jharkhand), IN
Source
An Asian Journal of Soil Science, Vol 11, No 1 (2016), Pagination: 191-196Abstract
A registered product biozyme is extracted from a Norwegian Sea weed known as Ascophyllum nodosum. It is biodegradable and non-toxic for the plant and soil health as claimed by Biostadt company. Beside biozyme, several other zymes are also available in the market with some prefixes in the name. They claim, the zyme is toxin free, eco-friendly, bio degradable product containing growth hormones, elements, minerals and vitamins. Highly compatible with fertilizers and pesticides, it also increases the resistance of plants against various pests, diseases and climatic stress. These zymes are available in solid and liquid form and are being used as either top dressing or spraying on the crop canopy at important crop growth stages. As per some earlier studies, biozyme have claimed to have beneficial in crop growth both in vegetative part as well as in grain production. Keeping in view of its importance a field trial was formulated and being conducted in research farm of Bihar Agricultural University Bhagalpur (Bihar) to see the impact of Biozyme on the yield and soil microbes.Keywords
Biozyme, Soil, Crop Biometrics,Yield, Economics.References
- Abubakar, A.R., Ashraf, N. and Ashraf, M. (2013). Effect of plant biostimulants on growth, chlorophyll content, flower drop and fruit set of pomegranate cv. KANDHARI KABULI, Internat. J. Agric. Environ. & Biotechnol., 6 (2) : 305-309.
- Belakbir, A., Ruiz, J.M. and Romero, L. (1998). Yield and fruit quality of pepper (Capsicum annuum L.) in response to bioregulators. Hort. Sci., 33: 85-87.
- Campos, C.A., Scheuring, D.C., and Miller, J.C. (1994).The effect of biozyme on emergence of bean (Phaseolus vulgaris L.) and sweet corn (Zea mays L.) seedlings under suboptimal field conditions. Hort. Sci., 29 : 734.
- Karanja, B. K., Isutsa, D.K. and Aguyoh, J. N. (2013a). Climate change adaptation of potato (Solanum tuberosum L.): influence of biozyme rate on potato yield, quality and mineral nutrient uptake. Internat. J. Adv. Biol. Res., 3 (3) : 366-373.
- Karanja, B.K., Isutsa, D. K. and Aguyoh, J.N. (2013b). Climate change adaptation of potato (Solanum tuberosum L.) 2: influence of biozyme® rate on potato growth and development. J. Chem., Biolog. & Physical Sci., 3 (3) : 2019-2031.
- Pandidurai, V., Murali, K.S. and Manivel, L. (1998). Role of carbon dioxide enrichment and PGR application in stimulating growth in vitro propagated tea, Develop. Plantat. Crops Res., 133-135pp.
- Rana, K.S., Shivran, R.K. and Kumar, Ashok (2006). Effect of moisture conservation practices on productivity and water use in maize based intercropping system under rainfed condition. Indian J. Agron., 51(1): 24-68
- Soil Health Management Under Vermicompost Based Integrated Nutrient Management in Wheat
Abstract Views :220 |
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Authors
Affiliations
1 Banda University of Agriculture and Technology, Banda (U.P.), IN
2 Sardar Vallabh Bhai Patel University of Agriculture and Technology, Meerut (U.P.), IN
3 Bihar Agricultural University, Sabour, Bhagalpur (Bihar), IN
1 Banda University of Agriculture and Technology, Banda (U.P.), IN
2 Sardar Vallabh Bhai Patel University of Agriculture and Technology, Meerut (U.P.), IN
3 Bihar Agricultural University, Sabour, Bhagalpur (Bihar), IN
Source
An Asian Journal of Soil Science, Vol 13, No 1 (2018), Pagination: 40-44Abstract
The yield of wheat ranged from 29.16 to 45.14 and 29.56 to 49.14 q ha-1 during 2005-06 and 2006-07, respectively was influenced significantly by different treatments. During 2005-06 maximum grain yield (45.14 q ha-1) was recorded in case of treatment T10 (3 tonnes vermicompost + 100% NPK of RDF), where 100% NPK with vermicompost @ 3.0 t ha-1 was applied, was found statistically at par with treatment T7 (3 tonnes vermicompost +75% NPK of RDF), where vermicompost @ 3.0 t ha-1 was applied with 75% NPK and significantly higher than the rest of the treatment. Similar trend of treatments effect on grain yield was also obtained during second year i.e. 2006-07. With exception of T2 (one tonne vermicompost + 50% NPK of RDF), grain yield recorded in T1 (150: 60: 40: as NPK, recommended dose of fertilizers), where 100% NPK was supplemented through inorganic source was found significantly lower than the rest of the treatments. Graded does of vermicompost with similar does of NPK influenced the grain yield of wheat significantly during both the years with exception of T8 (one tonnes vermicompost +100% NPK of RDF) and T9 (two tonnes vermicompost + 100% NPK of RDF). Results revealed that 50% NPK can be substituted by the application of @1.0 t ha-1 vermicompost as the grain yield recorded in T1 (150: 60: 40: as NPK, recommended dose of fertilizers) and T2 (one tonne vermicompost + 50% NPK of RDF), was statistically similar while grain yield increased significantly due to application of vermicompost @ 2.0 t ha-1 with 50% NPK. Application of different does of vermicompost with 75% NPK yielded significantly higher than the T1 (150: 60: 40: as NPK, recommended dose of fertilizers), where only 100% NPK was applied during both the years. No significantly variation in grain yield of wheat was found between the treatments having application of 1 t ha-1 vermicompost with either 50% or 75% NPK but yield varied significantly between treatments having the application of 1 t ha-1 vermicompost with 50% or 100% NPK. Similarly no variation was also found between T3 (two tonne vermicompost + 50% NPK of RDF) and T6 (two tonne vermicompost + 75% NPK of RDF) and T4 (three tonne vermicompost + 50% NPK of RDF) and T7 (three tonnes vermicompost +75% NPK of RDF), while T4 (three tonne vermicompost + 50% NPK of RDF) and T10 (three tonnes vermicompost + 100% NPK of RDF), varied significantly during both the years. This implies that application of 3.0 t ha-1 of vermicompost along with 75% NPK is a better combination for optimum crop yield. This combination also enhanced the physical, chemical properties of soil by improving the availability of different nutrients.Keywords
Earthworms,vermicompost, Chemical Fertilizers, Soil Fertility, Plant Productivity.References
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