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Bill & Melinda Gates Foundation (Tropical Legumes III [OPP124589], Genomic Open-source Breeding Informatics Initiative (GOBII)), and Department of Agriculture Cooperation & Farmers Welfare (DAC&FW), Govt. of India

Roorkiwal, M and Jarquin, D and Singh, M K and Gaur, P M and Bharadwaj, C and Rathore, A and Howard, R and Srinivasan, S and Jain, A and Garg, V and Kale, S M and Chitikineni, A and Tripathi, S and Jones, E and Robbins, K R and Crossa, J and Varshney, R K (2018) Genomic-enabled prediction models using multi-environment trials to estimate the effect of genotype × environment interaction on prediction accuracy in chickpea. Scientific Reports (TSI), 8 (1) (11701). pp. 1-11. ISSN 2045-2322

Department of Science and Technology (DST) Government of India

Roorkiwal, M and Rathore, A and Das, R R and Singh, M K and Jain, A and Samineni, S and Gaur, P M and Chellapilla, B and Tripathi, S and Li, Y and Hickey, J M and Lorenz, A and Sutton, T and Crossa, J and Jannink, J L and Varshney, R K (2016) Genome-Enabled Prediction Models for Yield Related Traits in Chickpea. Frontiers in Plant Science, 7 (1666). 01-13. ISSN 1664-462X

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