Items where Author is "Crossa, J"

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

Bill and Melinda Gates Foundation

Santantonio, N and Atanda, S A and Beyene, Y and Varshney, R K and Olsen, M and Jones, E and Roorkiwal, M and Gowda, M and Bharadwaj, C and Gaur, P M and Zhang, X and Dreher, K and Ayala-Hernández, C and Crossa, J and Pérez-Rodríguez, P and Rathore, A and Gao, S Y and McCouch, S and Robbins, K R (2020) Strategies for Effective Use of Genomic Information in Crop Breeding Programs Serving Africa and South Asia. Frontiers in Plant Science (TSI), 11. ISSN 1664-462X

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

German Federal Ministry for Economic Cooperation and Development (BMZ) Project No.98.7860.4-001-01

Reif, J C and Warburton, M L and Xia, X C and Hoisington, D A and Crossa, J and Taba, S and Muminovic, J and Bohn, M and Frisch, M and Melchinger, A E (2006) Grouping of accessions of Mexican races of maize revisited with SSR markers. TAG Theoretical and Applied Genetics, 113 (2). pp. 177-185. ISSN 1432-2242

Suri Sehgal Foundation

Franco, J and Crossa, J and Desphande, S (2010) Hierarchical multiple-factor analysis for classifying genotypes based on phenotypic and genetic data. Crop Science, 50 (1). pp. 105-117.

USDA National Institute of Food and Agriculture to JS

Jarquin, D and Howard, R and Liang, Z and Gupta, S K and Schnable, J C and Crossa, J (2020) Enhancing Hybrid Prediction in Pearl Millet Using Genomic and/or Multi-Environment Phenotypic Information of Inbreds. Frontiers in Genetics (TSI), 10 (1294). pp. 1-11. ISSN 1664-8021

United States Agency for International Development (USAID)

Santantonio, N and Atanda, S A and Beyene, Y and Varshney, R K and Olsen, M and Jones, E and Roorkiwal, M and Gowda, M and Bharadwaj, C and Gaur, P M and Zhang, X and Dreher, K and Ayala-Hernández, C and Crossa, J and Pérez-Rodríguez, P and Rathore, A and Gao, S Y and McCouch, S and Robbins, K R (2020) Strategies for Effective Use of Genomic Information in Crop Breeding Programs Serving Africa and South Asia. Frontiers in Plant Science (TSI), 11. ISSN 1664-462X