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 AJPS  Vol.8 No.8 , July 2017
Predicting Yield and Stability Analysis of Wheat under Different Crop Management Systems across Agro-Ecosystems in India
Abstract: The objectives of the study were as follows: 1) to evaluate the GxExM for wheat genotypes; 2) to predict yield performance and identify high stable wheat genotypes in different management practices; and 3) to make genotype-specific management and high performing genotype recommendations within and across agro-ecological regions. A diverse set of twenty-one genotypes was evaluated over three years (2012, 2013 and 2014) under two levels of crop management practices (CT and ZT) across three agro-ecological regions (BR, MP and PB) of India in replicated trials. Data were analyzed with SASGxE and RGxE programs using SAS and R programming languages, respectively. Across and within a location(s), the pattern of GxExM and GxMxY interactions (respectively) among univariate and multivariate stability statistics, grouping of genotypes in divisive clusters and estimates (with a prediction interval) of genotype varied in management practice CT and ZT. Across locations, the genotypes “Munal” and “HD-2967” were the best performers and high stable in CT and ZT, respectively. Genotypes “HD-2824” and “DPW-621-50”, and “Munal” may serve as diverse parents for developing high quality, climate smart, locally adapted genotypes for BR in CT and ZT, respectively. Genotypes “HD-2932”, “BAZ” and “JW-3288”, and “GW-322” and “HD-2967” are suitable for developing locally adapted stress tolerant genotypes for MP in management practices CT and ZT, respectively. Relatively small GxM and GxExM interactions in PB preclude in making definitive conclusions.
Cite this paper: Jat, M. , Jat, R. , Singh, P. , Jat, S. , Sidhu, H. , Jat, H. , Bijarniya, D. , Parihar, C. and Gupta, R. (2017) Predicting Yield and Stability Analysis of Wheat under Different Crop Management Systems across Agro-Ecosystems in India. American Journal of Plant Sciences, 8, 1977-2012. doi: 10.4236/ajps.2017.88133.
References

[1]   Mohanty, S.K., Singh, A.K., Jat, S.L., Parihar, C.M., Pooniya, V., Sharma, S., Chaudhary, S., Chaudhary, V. and Singh, B. (2015) Precision Nitrogen-Management Practices Influences Growth and Yield of Wheat (Triticum aestivum) under Conservation Agriculture. Indian Journal of Agronomy, 64, 617-621.

[2]   Wageningen, F.S.C. (2016) Multi-Level Mapping and Exploration of Wheat Production and Consumption and Their Potential Contribution to Alleviation of Poverty, Malnutrition and Gender Inequality. Final Report WHEAT Competitive Grant. Wageningen University Food Security Center Study, The Netherlands.

[3]   CIMMYT (1996) CIMMYT 1995-96 World Wheat Facts and Trends: Understanding Global Trends in the Use of Wheat Diversity and International Flows of Wheat Genetic Resources. CIMMYT, Mexico.

[4]   Singh, V.K., Yadvinder-Singh Dwivedi, B.S., Singh, K.S., Majumdar, K., Jat, M.L., Mishra, R.P. and Rani, M. (2016) Soil Physical Properties, Yield Trends and Economics after Five Years of Conservation Agriculture Based Rice-Maize System in North-Western India. Soil and Tillage Research, 155, 133-148.
https://doi.org/10.1016/j.still.2015.08.001

[5]   Dia, M. (2012a) Genotype x Environment Interaction and Stability Analysis of Performance, and Mega-Environment Identification of Fruit Yield and Yield Components in Watermelon [Citrullus lanatus (Thumb.) Matsum & Nakai] Tested in Multiple US Locations. Ph.D. Thesis, North Carolina State University, Raleigh.

[6]   Dia, M., Wehner, T.C., Hassell, R., Price, D.S., Boyhan, G.E., Olson, S., King, S., Davis, A.R. and Tolla, G.E. (2016a) Genotype x Environment Interaction and Stability Analysis for Watermelon Fruit Yield in the US. Crop Science, 56, 1645-1661.
https://doi.org/10.2135/cropsci2015.10.0625

[7]   Dia, M., Wehner, T.C., Hassell, R., Price, D.S., Boyhan, G.E., Olson, S., King, S., Davis, A.R., Tolla, G.E., Bernier, J., Juarez, B., Sari, N., Solmaz, I. and Aras, V. (2012b) Mega-Environment Identification for Watermelon Yield Testing in the US. Cucurbitaceae. Proceedings of the Xth EUCARPIA Meeting on Genetics and Breeding of Cucurbitaceae, Antalya, 15-18 October 2012, 385-390.

[8]   Dia, M., Wehner, T.C., Hassell, R., Price, D.S., Boyhan, G.E., Olson, S., King, S., Davis, A.R., Tolla, G.E., Bernier, J., Juarez, B., Sari, N., Solmaz, I. and Aras, V. (2012c) Stability of Fruit Yield in Watermelon Genotypes Tested in Multiple US Environments. Cucurbitaceae. Proceedings of the Xth EUCARPIA Meeting on Genetics and Breeding of Cucurbitaceae, Antalya, 15-18 October, 2012, 84-88.

[9]   Dia, M., Weindorf, D., Thompson, C., Cummings, H., Cacovean, H. and Rusu, T. (2009) Spatial Distribution of Heavy Metals in the Soils of Erath County, Texas. Studia Universitatis Babes-Bolyai, Geographia, 2, 99-114.

[10]   Gathala, M.K., Ladha, J.K., Saharawat, Y.S., Kumar, V., Kumar, V. and Sharma, P.K. (2011) Effect of Tillage and Crop Establishment Methods on Physical Properties of a Medium-Textured Soil under a Seven-Year Rice-Wheat Rotation. Soil Science Society of America Journal, 75, 1851-1862.
https://doi.org/10.2136/sssaj2010.0362

[11]   Jat, M.L., Gathala, M.K., Ladha, J.K., Saharawat, Y.S., Jat, A.S., Vipin, K., Sharma, S.K., Kumar, V. and Raj, G. (2009) Evaluation of Precision Land Leveling and Double Zero-Till Systems in Rice-Wheat Rotation: Water Use, Productivity, Profitability and Soil Physical Properties. Soil and Tillage Research, 105, 112-121.
https://doi.org/10.1016/j.still.2009.06.003

[12]   Jat, M.L., Gathala, M.K., Saharawat, Y.S., Tetarwal, J.P., Gupta, R. and Singh, Y. (2013) Double No-Till and Permanent Raised Beds in Maize-Wheat Rotation of North-Western Indo-Gangetic Plains of India: Effects on Crop Yields, Water Productivity, Profitability and soil Physical Properties. Field Crops Research, 149, 291-299.
https://doi.org/10.1016/j.fcr.2013.04.024

[13]   Sapkota, T.B., Jat, R.K., Singh, R.G., Jat, M.L., Stirling, C.M., Bijarniya, D., Kumar, M., Jat Yadvinder-Singh, M.K., Saharawat, Y.S. and Gupta, R.K. (2017) Soil Organic Carbon Changes after Seven Years of Conservation Agriculture in a Rice-Wheat System of the Eastern Indo-Gangetic Plains. Soil Use and Management, 33, 81-89.
https://doi.org/10.1111/sum.12331

[14]   Weindorf, D.C., Sarkar, R., Dia, M., Wang, H., Chang, Q., Haggard, B., McWhirt, A. and Wooten, A. (2008a) Correlation of X-Ray Fluorescence Spectrometry and Inductively Coupled Plasma Atomic Emission Spectroscopy for Elemental Determination in Composted Products. Compost Science & Utilization, 16, 79-82.
https://doi.org/10.1080/1065657X.2008.10702361

[15]   Weindorf, D., Rinard, B., Zhu, Y., Johnson, S., Haggard, B., McPherson, J., Dia, M., Spinks, C. and McWhirt, A. (2008b) High Resolution Soil Survey of Capulin Volcano National Monument, New Mexico. Soil Horizons, 49, 55-62.
https://doi.org/10.2136/sh2008.3.0055

[16]   Aryal, J.P., Sapkota, T.B., Stirling, C.M., Jat, M.L., Jat, H.S., Rai, M., Mittal, S. and Sutaliya, J.M. (2016) Conservation Agriculture-Based Wheat Production Better Copes with Extreme Climate Events than Conventional Tillage-Based Systems: A Case of Untimely Excess Rainfall in Haryana, India. Agriculture, Ecosystems and Environment, 233, 325-335.
https://doi.org/10.1016/j.agee.2016.09.013

[17]   Jat, R.K., Sapkota, T.B., Singh, R.G., Jat, M.L., Kumar, M. and Gupta, R.K. (2014) Seven Years of Conservation Agriculture in a Rice–Wheat Rotation of Eastern Gangetic Plains of South Asia: Yield Trends and Economic Profitability. Field Crops Research, 164, 199-210.
https://doi.org/10.1016/j.fcr.2014.04.015

[18]   Parihar, C.M., Jat, S.L., Singh, A.K., Kumar, B., Yadvinder-Singh, Pradhan, S., Pooniya, V., Dhauja, A., Chaudhary, V., Jat, M.L., Jat, R.K. and Yadav, O.P. (2016a) Conservation Agriculture in Irrigated Intensive Maize-Based Systems of North-Western India: Effects on Crop Yields, Water Productivity and Economic Profitability. Field Crops Research, 193, 104-116.
https://doi.org/10.1016/j.fcr.2016.03.013

[19]   Parihar, C.M., Yadav, M.R., Jat, S.L., Singh, A.K., Kumar, B., Pradhan, S., Chakraborty, D., Jat, M.L., Jat, R.K., Saharawat, Y.S. and Yadav, O.P. (2016b) Long Term Effect of Conservation Agriculture in Maize Rotations on Total Organic Carbon, Physical and Biological Properties of a Sandy Loam Soil in North-Western Indo-Gangetic Plains. Soil and Tillage Research, 161, 116-128.
https://doi.org/10.1016/j.still.2016.04.001

[20]   Parihar, C.M., Jat, S.L., Singh, A.K., Majumdar, K., Jat, M.L., Saharawat, Y.S., Pradhan, S. and Kuri, B.R. (2017) Bio-Energy, Water-Use Efficiency and Economics of Maize-Wheat-Mungbean System under Precision-Conservation Agriculture in Semi-Arid Agro-Ecosystem. Energy, 119, 245-256.
https://doi.org/10.1016/j.energy.2016.12.068

[21]   Yadav, M.R., Parihar, C.M., Jat, S.L., Singh, A.K., Kumar, D., Pooniya, V., Parihar, M.D., Saveipune, D., Parmar, H. and Jat, M.L. (2016) Effect of Long-Term Tillage and Diversified Crop Rotations on Nutrient Uptake, Profitability and Energetics of Maize (Zea Mays) in North-Western India. Indian Journal of Agricultural Sciences, 86, 743-749.

[22]   Comstock, R.E. and Moll, R.H. (1963) Genotype-Environment Interactions. In: Hanson, W.D. and Robinson, H.F., Eds., Statistical Genetics and Plant Breeding, NAS-NRC, Washington DC, 164-196.

[23]   Alghamdi, S.S. (2004) Yield Stability of Some Soybean Genotypes across Diverse Environment. Pakistan Journal of Biological Sciences, 7, 2109-2114.
https://doi.org/10.3923/pjbs.2004.2109.2114

[24]   Kumar, R., Dia, M. and Wehner, T.C. (2013) Implications of Mating Behavior in Watermelon Breeding. HortScience, 48, 960-964.

[25]   DeLacy, I.H., Basford, K.E., Cooper, M., Bull, J.K. and McLaren, C.G. (1996) Analysis of Multi Environment Trials: An historical Perspective. In: Cooper, M. and Hammer, G.L., Eds., Plant Adaptation and Crop Improvement, Wallingford, UK, CABI, 39-124.

[26]   Mathews, K.L., Malosetti, M., Chapman, S., McIntyre, L., Reynolds, M., Shorter, R. and van Eeuwijk, F.A. (2008) Multi-Environment QTL Mixed Models for Drought Stress Adaptation in Wheat. Theoretical and Applied Genetics, 117, 1077-1091.
https://doi.org/10.1007/s00122-008-0846-8

[27]   Finlay, K.W. and Wilkinson, G.N. (1963) The Analysis of Adaptation in a Plant Breeding Programme. Australian Journal of Agricultural Research, 14, 742-754.
https://doi.org/10.1071/AR9630742

[28]   Eberhart, S.A. and Russell, W.A. (1966) Stability Parameters for Comparing Varieties. Crop Science, 6, 36-40.
https://doi.org/10.2135/cropsci1966.0011183X000600010011x

[29]   Shukla, G.K. (1972) Some Statistical Aspects of Partitioning Genotype-Environmental Components of Variability. Heredity, 29, 237-245.
https://doi.org/10.1038/hdy.1972.87

[30]   Yan, W. (2001) GGEbiplot: A Windows Application for Graphical Analysis of Multi-Environment Trial Data and Other Types of Two-Way Data. Agronomy Journal, 93, 1111-1118.
https://doi.org/10.2134/agronj2001.9351111x

[31]   Kang, M.S. (1993) Simultaneous Selection for Yield and Stability in Crop Performance Trials: Consequences for Growers. Agronomy Journal, 85, 754-757.
https://doi.org/10.2134/agronj1993.00021962008500030042x

[32]   Yan, W. and Kang, M.S. (2003) GGE Biplot Analysis: A Graphical Tool for Breeders, Geneticists, and Agronomists. CRC Press, Boca Raton, FL.

[33]   Gauch, H.G. (2006) Statistical Analysis of Yield Trials by AMMI and GGE. Crop Science, 46, 1488-1500.
https://doi.org/10.2135/cropsci2005.07-0193

[34]   Jarquín. D., Pérez-Elizalde, S., Burgueño, J. and Crossa, J. (2016) A Hierarchical Bayesian Estimation Model for Multienvironment Plant Breeding Trials in Successive Years. Crop Science, 56, 2260-2276.
https://doi.org/10.2135/cropsci2015.08.0475

[35]   Jat, P. and Serre, M.L. (2016) Bayesian Maximum Entropy Space/Time Estimation of Surface Water Chloride in Maryland using River Distances. Environmental Pollution, 219, 1148-1155.
https://doi.org/10.1016/j.envpol.2016.09.020

[36]   Li, Y., Gibson, J.M., Jat, P., Puggioni, G., Hasan, M., West, J.J., Vizuete, W., Sexton, K. and Serre, M. (2010) Burden of Diseases Attributed to Anthropogenic Air Pollution in the United Arab Emirates: Estimates Based on Observed Air Quality Data. Science of the Total Environment, 408, 5784-5793.
https://doi.org/10.1016/j.scitotenv.2010.08.017

[37]   Malosetti, M., Voltas, J., Romagosa, I., Ullrich, S.E. and van Eeuwijk, F.A. (2004) Mixed Models Including Environmental Covariables for Studying QTL by Environment Interaction. Euphytica, 137, 139-145.
https://doi.org/10.1023/B:EUPH.0000040511.46388.ef

[38]   Kumar, V., Saharawat, Y.S., Gathala, M.K., Jat, A.S., Singh, S.K., Chaudhary, N. and Jat, M.L. (2013) Effect of Different Tillage and Seeding Methods on Energy Use Efficiency and Productivity of Wheat in the Indo-Gangetic Plains. Field Crops Research, 142, 1-8.
https://doi.org/10.1016/j.fcr.2012.11.013

[39]   Singh, V.K., Yadvinder-Singh, Dwivedi, B.S., Singh, S.K., Majumdar, K., Jat, M.L., Mishra, R.P. and Rani, M. (2016) Soil Physical Properties, Yield Trends and Economics after Five Years of Conservation Agriculture Based Rice-Maize System in North-West India. Soil and Tillage Research, 155, 133-148.
https://doi.org/10.1016/j.still.2015.08.001

[40]   Choudhary, R., Singh, P., Sidhu, H.S., Nandal, D.P., Jat, H.S., Yadvinder-Singh and Jat, M.L. (2016) Evaluation of Tillage and Crop Establishment Methods Integrated Withrelay Seeding of Wheat and Mungbean for Sustainable Intensification of Cotton-Wheat System in South Asia. Field Crops Research, 199, 31-41.
https://doi.org/10.1016/j.fcr.2016.08.011

[41]   Jat, H.S., Singh, G., Singh, R., Chaudhary, M., Jat, M.L., Gathala, M.K. and Sharma, D.K. (2015) Management Influences on Maize-Wheat System Performance, Water Productivity and Soil Biology. Soil Use and Management, 31, 534-543.

[42]   Mintenko, A.S., Smith, S.R. and Cattani, D.J. (2002) Turfgrass Evaluation of Native Grasses for the Northern Great Plains Region. Crop Science, 42, 2018-2024.
https://doi.org/10.2135/cropsci2002.2018

[43]   Dia, M., Wehner, T.C., Hassell, R., Price, D.S., Boyhan, G.E., Olson, S., King, S., Davis, A.R. and Tolla, G.E. (2016) Values of Locations for Representing Mega-Environments and for Discriminating Yield of Watermelon in the US. Crop Science, 56, 1726-1735.
https://doi.org/10.2135/cropsci2015.11.0698

[44]   Dia, M., Wehner, T.C. and Arellano, C. (2016) Analysis of Genotype x Environment Interaction (GxE) Using SAS Programming. Agronomy Journal, 108, 1-15.
https://doi.org/10.2134/agronj2016.02.0085

[45]   Dia, M., Wehner, T.C. and Arellano, C. (2017) RGxE: An R Program for Genotype x Environment Interaction Analysis. American Journal of Plant Sciences, 8, 1672-1698.
https://doi.org/10.4236/ajps.2017.87116

[46]   Dia, M., Wehner, T.C., Perkins-Veazie, P., Hassell, R., Price, D.S., Boyhan, G.E., Olson, S., King, S., Davis, A.R., Tolla, G.E., Bernier, J. and Juarez, B. (2016) Stability of Fruit Quality Traits in Diverse Watermelon Cultivars Tested in Multiple Environments. Horticulture Research, 23, 16066.
https://doi.org/10.1038/hortres.2016.66

[47]   Buuren, S.V. and Groothuis-Oudshoorn, K. (2011) Mice: Multivariate Imputation by Chained Equations in R. Journal of Statistical Software, 45, 1-67.
https://doi.org/10.18637/jss.v045.i03

[48]   Bates, D., Maechler, M., Bolker, B. and Walker, S. (2015) Fitting Linear Mixed-Effects Models Using lme4. Journal of Statistical Software, 67, 1-48.
https://doi.org/10.18637/jss.v067.i01

[49]   Singmann, H., Bolker, B. and Westfall, J. (2015) Afex: Analysis of Factorial Experiments. R Package Version 0.15-2.
http://CRAN.R-project.org/package=afex

[50]   Winter, B. (2013) Linear Models and Linear Mixed Effects Models in R with Linguistic Applications.
http://arxiv.org/pdf/1308.5499.pdf

[51]   R Core Team (2016) R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna.
http://www.R-project.org/

[52]   Mendiburu, F.D. (2015) Agricolae: Statistical Procedures for Agricultural Research. R Package Version 1.2-3.
http://CRAN.R-project.org/package=agricolae

[53]   Frutos, E., Galindo, M.P. and Leiva, V. (2014) An Interactive Biplot Implementation in R for Modeling Genotype-by-Environment Interaction. Stochastic Environmental Research and Risk Assessment, 28, 1629-1641.
https://doi.org/10.1007/s00477-013-0821-z

[54]   RStudio Team (2014) RStudio: Integrated Development for R. RStudio, Inc., Boston.
http://www.rstudio.com/

[55]   Yan, W., Hunt, L.A., Sheng, Q. and Szlavnics, Z. (2000) Cultivar Evaluation and Mega-Environment Investigation Based on GGE Biplot. Crop Science, 40, 597-605.
https://doi.org/10.2135/cropsci2000.403597x

[56]   SAS Institute (2016) SAS/STAT 9.2 User”s Guide. Second Edition, PROC VARCLUS Statement.
https://support.sas.com/documentation/cdl/en/statug/63033/HTML/default/viewer.htm#
statug_varclus_sect004.htm

[57]   Jackson, D.A. (1993) Stopping Rules in Principal Components Analysis: A Comparison of Heuristical and Statistical Approaches. Ecology, 74, 2204-2214.
https://doi.org/10.2307/1939574

[58]   Yan, W., Kang, M.S., Ma, B., Woods, S. and Cornelius, P.L. (2007) GGE Biplot vs. AMMI Analysis of Genotype-by-Environment Data. Crop Science, 47, 643-653.
https://doi.org/10.2135/cropsci2006.06.0374

[59]   SAS Institute (2017) Predictive Modeling Using Logistic Regression.
https://support.sas.com/edu/schedules.html?id=2677&ctry=US

[60]   Saharawat, Y.S., Singh, B., Malik, R.K., Ladha, J.K., Gathala, M., Jat, M.L. and Kumar, V. (2010) Evaluation of Alternative Tillage and Crop Establishment Methods in a Rice-Wheat Rotation in North Western IGP. Field Crops Research, 116, 260-267.
https://doi.org/10.1016/j.fcr.2010.01.003

[61]   Gathala, M.K., Kumar, V., Sharma, P.C., Saharawat, Y.S., Jat, H.S., Singh, M., Kumar, A., Jat, M.L., Humphreys, E., Sharma, D.K., Sharma, S. and Ladha, J.K. (2013) Optimizing Intensive Cereal-Based Cropping Systems Addressing Current and Future Drivers of Agricultural Change in the North-Western Indo-Gangetic Plains of India. Agriculture, Ecosystems and Environment, 177, 85-97.
https://doi.org/10.1016/j.agee.2013.06.002

[62]   Anderson, W.K., Burgel, A.J., Sharma, D.L., Shackley, B.J., Zaicou-Kunesch, C.M., Miyan, M.S. and Amjad, M. (2011) Assessing Specific Agronomic Responses of Wheat Cultivars in a Winter Rainfall Environment. Crop and Pasture Sciences, 62, 115-124.
https://doi.org/10.1071/CP10142

[63]   Burgueño, J., Crossa, J., Cotes, J.M., Vicente, F.S. and Das, B. (2011) Prediction Assessment of Linear Mixed Models for Multi Environment Trials. Crop Science, 51, 944-954.
https://doi.org/10.2135/cropsci2010.07.0403

[64]   De Vita, P., Mastrangelo, A.M., Matteu, L., Mazzucotelli, E., Virzi, N., Palumbo, M., Lo Storto, M., Rizza, F. and Cattivelli, L. (2010) Genetic Improvement Effects on Yield Stability in Durum Wheat Genotypes Grown in Italy. Field Crops Research, 119, 68-77.
https://doi.org/10.1016/j.fcr.2010.06.016

[65]   Shrestha, S., Asch, F., Dusserre, J., Ramanantsoanirina, A. and Brueck, H. (2012) Climate Effects on Yield Components as Affected by Genotypic Responses to Variable Environmental Conditions in Upland Rice Systems at Different Altitudes. Field Crops Research, 134, 216-228.
https://doi.org/10.1016/j.fcr.2012.06.011

[66]   Tapley, M., Ortiz, B.V., van Santen, E., Balkcom, K.S., Mask, P. and Weaver, D.B. (2013) Location, Seeding Date, and Variety Interactions on Winter Wheat Yield in Southeastern United States. Agronomy Journal, 105, 509-518.
https://doi.org/10.2134/agronj2012.0379

[67]   Dwivedi, B.S., Shukla, A.K., Singh, V.K. and Yadav, R.L. (2003) Improving Nitrogen and Phosphorus Use Efficiency through Inclusion of Forage Cowpea in the Rice-Wheat System in the Indo-Gangetic Plains of India. Field Crops Research, 84, 399-418.
https://doi.org/10.1016/S0378-4290(03)00060-1

[68]   Singh, Y., Singh, B. and Timsina, J. (2005) Crop Residue Management for Nutrient Cycling and Improving Soil Productivity in Rice-Based Cropping Systems in the Tropics. Advances in Agronomy, 85, 269-407.
https://doi.org/10.1016/S0065-2113(04)85006-5

[69]   Beare, M.H., Hendrix, P.F. and Coleman, D.C. (1994) Water-Stable Aggregates and Organic Matter Fractions in Conventional and No-Tillage Soils. Soil Science Society of America Journal, 58, 777-786.
https://doi.org/10.2136/sssaj1994.03615995005800030020x

[70]   Halvorson, A.D., Brian, J.W. and Alfred, L.B. (2002) Tillage, Nitrogen, and Cropping System Effects on Soil Carbon Sequestration. Soil Science Society of America Journal, 66, 906-912.
https://doi.org/10.2136/sssaj2002.9060

[71]   Gathala, M.K., Jat, M.L., Saharawat, Y.S., Sharma, S.K. and Ladha, J.K. (2017) Physical and Chemical Properties of a Sandy Loam Soil Under Irrigated Rice-Wheat Sequence in the Indo-Gangetic Plains of South Asia. Journal of Ecosystem & Ecography, S7, 002.

[72]   Kandus, M., Almorza, D., Boggio Ronceros, R. and Salerno, J.C. (2010) Statistical Models for Evaluating the Genotype-Environment Interaction in Maize (Zea mays L.). Phyton (Buenos Ares), 79, 39-46.

[73]   Fischer, R.A. (1985) Number of Kernels in Wheat Crops and the Influence of Solar Radiation and Temperature. Journal of Agricultural Science, 105, 447-461.
https://doi.org/10.1017/S0021859600056495

[74]   Hatfield, J.L., Boote, K.J., Kimball, B.A., Ziska, L., Izaurralde, R.C., Ort, D., Thomson, A.M. and Wolfe, D.A. (2011) Climate Impacts on Agriculture: Implications for Crop Production. Agronomy Journal, 103, 351-370.
https://doi.org/10.2134/agronj2010.0303

 
 
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