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Crossa, J and Vargas, M and Eeuwijk, F A van and Jiang, C and Edmeades, G O and Hoisington, D A (1999) Interpreting genotype × environment interaction in tropical maize using linked molecular markers and environmental covariables. TAG Theoretical and Applied Genetics, 99 (3-4). pp. 611-625. ISSN 1432-2242
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
Warburton, M L and Reif, J C and Frisch, M and Bohn, M and Bedoya, C and Xia, X C and Crossa, J and Franco, J and Hoisington, D A and Pixley, K and Taba, S and Melchinger, A E (2007) Genetic Diversity in CIMMYT Nontemperate Maize Germplasm: Landraces, Open Pollinated Varieties, and Inbred Lines. Crop Science, 48 (2). pp. 617-624. ISSN 0011-183X
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.
Velu, G and Rai, K N and Muralidharan, V and Longvah, T and Crossa, J (2011) Gene effects and heterosis for grain iron and zinc density in pearl millet (Pennisetum glaucum (L.) R. Br). Euphytica, 180 (2). pp. 251-259. ISSN 0014-2336
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
Roorkiwal, M and Jarquin, D and Jain, A and Garg, V and Kale, S M and Singh, M K and Samineni, S and Gaur, P M and Rathore, A and Chellapilla, B and Tripathi, S and Crossa, J and Varshney, R K (2017) Genomic-enabled prediction model with genotype × environment interaction in elite chickpea lines. In: InterDrought-V, February 21-25, 2017, Hyderabad, India.
Crossa, J and Pérez-Rodríguez, P and Cuevas, J and Montesinos-López, O and Jarquín, D and de los Campos, G and Burgueño, J and González-Camacho, J M and Pérez-Elizalde, S and Beyene, Y and Dreisigacker, S and Singh, R and Zhang, X and Gowda, M and Roorkiwal, M and Rutkoski, J and Varshney, R K (2017) Genomic Selection in Plant Breeding: Methods, Models, and Perspectives. Trends in Plant Science, 22 (11). pp. 961-975. ISSN 13601385
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
Varshney, R K and Thudi, M and Roorkiwal, M and He, W and Upadhyaya, H D and Yang, W and Bajaj, P and Cubry, P and Rathore, A and Jian, J and Doddamani, D and Khan, A W and Garg, V and Chitikineni, A and Xu, D and Gaur, P M and Singh, N P and Chaturvedi, S K and Gangarao, N V P R and Krishnamurthy, L and Dixit, G P and Fikre, A and Kimurto, P K and Sreeman, S M and Bharadwaj, C and Tripathi, S and Wang, J and Lee, S H and Edwards, D and Kavi Kishor, P B and Penmetsa, R V and Crossa, J and Nguyen, H T and Siddique, K H M and Colmer, T D and Sutton, T and von Wettberg, E and Vigouroux, Y and Xu, X and Liu, X (2019) Resequencing of 429 chickpea accessions from 45 countries provides insights into genome diversity, domestication and agronomic traits. Nature Genetics (TSI), 51 (5). pp. 857-864. ISSN 1061-4036
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
Ramirez‐Villegas, J and Molero Milan, A and Alexandrov, N and Asseng, S and Challinor, A J and Crossa, J and Eeuwijk, F and Ghanem, M E and Grenier, C and Heinemann, A B and Wang, J and Juliana, P and Kehel, Z and Kholova, J and Koo, J and Pequeno, D and Quiroz, R and Rebolledo, M C and Sukumaran, S and Vadez, V and White, J W and Reynolds, M (2020) CGIAR modeling approaches for resource‐constrained scenarios: I. Accelerating crop breeding for a changing climate. Crop Science (TSI). pp. 1-21. ISSN 0011-183X
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
Pandey, M K and Chaudhari, S and Jarquin, D and Janila, P and Crossa, J and Patil, S C and Sundravadana, S and Khare, D and Bhat, R S and Radhakrishnan, T and Hickey, J M and Varshney, R K (2020) Genome-based trait prediction in multi- environment breeding trials in groundnut. Theoretical and Applied Genetics (TSI). ISSN 0040-5752
Varshney, R K and Roorkiwal, M and Sun, S and Bajaj, P and Chitikineni, A and Thudi, M and Singh, N P and Du, X and Upadhyaya, H D and Khan, A W and Wang, Y and Garg, V and Fan, G and Cowling, W A and Crossa, J and Gentzbittel, L and Voss-Fels, K P and Valluri, V K and Sinha, P and Singh, V K and Ben, C and Rathore, A and Punna, R and Singh, M K and Tar’an, B and Bharadwaj, C and Yasin, M and Pithia, M S and Singh, S and Soren, K R and Kudapa, H and Jarquín, D and Cubry, P and Hickey, L T and Dixit, G P and Thuillet, A and Hamwieh, A and Kumar, S and Deokar, A A and Chaturvedi, S K and Francis, A and Howard, R and Chattopadhyay, D and Edwards, D and Lyons, E and Vigouroux, Y and Hayes, B J and Wettberg, E v and Datta, S K and Yang, H and Nguyen, H T and Wang, J and Siddique, K H M and Mohapatra, T and Bennetzen, J L and Xu, X and Liu, X (2021) A chickpea genetic variation map based on the sequencing of 3,366 genomes. Nature, 599. pp. 622-627. ISSN 1476-4687
Montesinos-López, O A and Montesinos-López, J C and Montesinos-Lopez, A and Ramírez-Alcaraz, J M and Poland, J and Singh, R and Dreisigacker, S and Crespo, L and Mondal, S and Govidan, V and Juliana, P and Espino, J H and Shrestha, S and Varshney, R K and Crossa, J (2021) Bayesian multitrait kernel methods improve multienvironment genome-based prediction. G3: Genes, Genomes, Genetics (TSI), 12 (2). pp. 1-17. ISSN 2160-1836
Montesinos-López, O A and Montesinos-Lopez, A and Acosta, R and Varshney, R K and Bentley, A and Crossa, J (2022) Using an incomplete block design to allocate lines to environments improves sparse genome-based prediction in plant breeding. The Plant Genome (TSI), 15 (1). pp. 1-24. ISSN 1940-3372