Browsing by Author "Jarquin, D."

Article

A chickpea genetic variation map based on the sequencing of 3,366 genomes

Varshney, R.K.; Roorkiwal, M.; Shuai Sun; Bajaj, P.; Annapurna Chitikineni; Thudi, M.; Singh, N.P.; Xiao Du; Upadhyaya, H.; Khan, A.W.; Yue Wang; Garg, V.; Guangyi Fan; Cowling, W.A.; Crossa, J.; Gentzbittel, L.; Voss-Fels, K.P.; Valluri, V.K.; Sinha, P.; Singh, V.K.; Ben, C.; Rathore, A.; Punna, R.; Muneendra K. Singh; Tar’an, B.; Chellapilla Bharadwaj; Yasin, M.; Pithia, M.S.; Singh, S.; Soren, K.R.; Kudapa, H.; Jarquín, D.; Cubry, P.; Hickey, L.T.; Dixit, G.P.; Thuillet, A.C.; Hamwieh, A.; Kumar, S.; Deokar, A.; Chaturvedi, S.K.; Francis, A.; Howard, R.; Chattopadhyay, D.; Edwards, D.; Lyons, E.; Vigouroux, Y.; Hayes, B.J.; Von Wettberg, E.; Datta, S.K.; Huanming Yang; Nguyen, H.T.; Jian Wang; Siddique, K.H.M.; Mohapatra, T.; Bennetzen, J.L.; Xun Xu; Xin Liu (Nature Publishing Group, 2021)

Article

Author Correction: A chickpea genetic variation map based on the sequencing of 3,366 genomes (Nature, (2021), 599, 7886, (622-627), 10.1038/s41586-021-04066-1)

Varshney, R.K.; Roorkiwal, M.; Shuai Sun; Bajaj, P.; Annapurna Chitikineni; Thudi, M.; Singh, N.P.; Xiao Du; Upadhyaya, H.D.; Khan, A.; Yue Wang; Garg, V.; Guangyi Fan; Cowling, W.A.; Crossa, J.; Gentzbittel, L.; Voss-Fels, K.P.; Valluri, V.K.; Sinha, P.; Singh, V.K.; Ben, C.; Rathore, A.; Punna, R.; Muneendra K. Singh; Tar’an, B.; Chellapilla Bharadwaj; Yasin, M.; Pithia, M.S.; Singh, S.; Soren, K.R.; Kudapa, H.; Jarquín, D.; Cubry, P.; Hickey, L.T.; Dixit, G.P.; Thuillet, A.C.; Hamwieh, A.; Kumar, S.; Deokar, A.; Chaturvedi, S.K.; Francis, A.; Howard, R.; Chattopadhyay, D.; Edwards, D.; Lyons, E.; Vigouroux, Y.; Hayes, B.J.; Von Wettberg, E.; Datta, S.K.; Huanming Yang; Nguyen, H.T.; Jian Wang; Siddique, K.H.M.; Mohapatra, T.; Bennetzen, J.L.; Xun Xu; Xin Liu (Nature Publishing Group, 2022)

Book Chapter

Chapter 9. Genome and Environment Based Prediction Models and Methods of Complex Traits Incorporating Genotype × Environment Interaction

Crossa, J.; Montesinos-Lopez, O.A.; Perez-Rodriguez, P.; Costa-Neto, G.; Fritsche-Neto, R.; Ortiz, R.; Martini, J.W.R.; Lillemo, M.; Montesinos-Lopez, A.; Jarquín, D.; Breseghello, F.; Cuevas, J.; Rincent, R. (Humana Press Inc., 2022)

Article

Deep kernel and deep learning for genome-based prediction of single traits in multienvironment breeding trials

Crossa, J.; Martini, J.W.R.; Gianola, D.; Perez-Rodriguez, P.; Jarquín, D.; Juliana, P.; Montesinos-Lopez, O.A.; Cuevas, J. (Frontiers, 2019)

Article

Enhancing hybrid prediction in pearl millet using genomic and/or multi-environment phenotypic information of inbreds

Jarquín, D.; Howard, R.; Zhikai Liang; Shashi K. Gupta; Schnable, J.C.; Crossa, J. (Frontiers Media, 2020)

Article

A general Bayesian estimation method of linear-bilinear models applied to plant breeding trials with genotype × environment interaction

Perez-Elizalde, S.; Jarquin, D.; Crossa, J. (Springer Verlag; American Statistical Association; International Biometrics Society, 2012)

Article

Genome-based trait prediction in multi- environment breeding trials in groundnut

Pandey, M.K.; Chaudhari, S.; Jarquín, D.; Janila, P.; Crossa, J.; Patil, S.C.; Sundravadana, S.; Khare, D.; Bhat, R.S.; Radhakrishnan, T.; Hickey, J.M.; Varshney, R.K. (Springer, 2020)

Article

Genome-enabled prediction for sparse testing in multi-environmental wheat trials

Crespo-Herrera, L.A.; Howard, R.; Piepho, H.P.; Pérez-Rodríguez, P.; Montesinos-Lopez, O.A.; Burgueño, J.; Singh, R.P.; Mondal, S.; Jarquin, D.; Crossa, J. (CSSA; Wiley, 2021)

Article

Genome-wide association mapping and genomic prediction of anther extrusion in CIMMYT hybrid wheat breeding program via modeling pedigree, genomic relationship, and interaction with the environment

Adhikari, A.; Basnet, B.R.; Crossa, J.; Dreisigacker, S.; Camarillo-Castillo, F.; Bhati, P.K.; Jarquin, D.; Yann Manes; Ibrahim, A.M.H. (Frontiers Media, 2020)

Article

Genomic prediction enhanced sparse testing for multi-environment trials

Jarquín, D.; Howard, R.; Crossa, J.; Beyene, Y.; Gowda, M.; Martini, J.W.R.; Covarrubias-Pazaran, G.; Burgueño, J.; Pacheco Gil, R. A.; Grondona, M.; Wimmer, V.; Prasanna, B.M. (Genetics Society of America, 2020)

Article

Genomic prediction models for grain yield of spring bread wheat in diverse agro-ecological zones

Saint Pierre, C.; Burgueño, J.; Fuentes Dávila, G.; Figueroa López, P.; Solís Moya, E.; Ireta Moreno, J.; Hernández Muela, V.M.; Zamora Villa, V.; Vikram, P.; Mathews, K.; Sansaloni, C.P.; Sehgal, D.; Jarquin, D.; Wenzl, P.; Sukhwinder-Singh; Crossa, J. (Nature Publishing Group, 2016)

Article

Genomic prediction of gene bank wheat landraces

Crossa, J.; Jarquin, D.; Franco, J.; Pérez-Rodríguez, P.; Burgueño, J.; Saint Pierre, C.; Vikram, P.; Sansaloni, C.P.; Petroli, C.D.; Akdemir, D.; Sneller, C.; Reynolds, M.P.; Tattaris, M.; Payne, T.S.; Guzman, C.; Peña-Bautista, R.J.; Wenzl, P.; Sukhwinder Singh (Genetics Society of America, 2016)

Article

Genomic prediction with pedigree and genotype X environment interaction in spring wheat grown in South and West Asia, North Africa, and Mexico

Sukumaran, S.; Crossa, J.; Jarquin, D.; Lopes, Marta; Reynolds, M.P. (Genetics Society of America, 2017)

Article

Genomic predictions for common bunt, FHB, stripe rust, leaf rust, and leaf spotting resistance in spring wheat

Semagn, K.; Iqbal, M.; Jarquín, D.; Crossa, J.; Howard, R.; Ciechanowska, I.; Henríquez, M.A.; Randhawa, H.S.; Aboukhaddour, R.; McCallum, B.D.; Brûlé-Babel, A.L.; Navabi, A.; N’Diaye, A.; Pozniak, C.; Spaner, D. (MDPI, 2022)

Article

A genomic selection index applied to simulated and real data

Ceron Rojas, J.J.; Crossa, J.; Arief, V.N.; Basford, K.E.; Rutkoski, J.; Jarquin, D.; Alvarado Beltrán, G.; Beyene, Y.; Fentaye Kassa Semagn; DeLacy, I.H. (Genetics Society of America, 2015)

Article

Genomic-enabled prediction accuracies increased by modeling genotype × environment interaction in durum wheat

Sukumaran, S.; Jarquín, D.; Crossa, J.; Reynolds, M.P. (Crop Science Society of America, 2018)

Article

Genomic-enabled prediction in maize using kernel models with genotype x environment interaction

Bandeira e Sousa, M.; Cuevas, J.; De Oliveira Couto, E.G.; Pérez-Rodríguez, P.; Jarquin, D.; Fritsche-Neto, R.; Burgueño, J.; Crossa, J. (Genetics Society of America, 2017)

Article

Genomic-enabled prediction models using multi-environment trials to estimate the effect of genotype × environment interaction on prediction accuracy in chickpea

Roorkiwal, M.; Jarquín, D.; Muneendra K. Singh; Pooran M. Gaur; Chellapilla Bharadwaj; Rathore, A.; Howard, R.; Samineni Srinivasan; Ankit Jain; Garg, V.; Sandip Kale; Annapurna Chitikineni; Shailesh Tripathi; Jones, E.; Robbins, K.; Crossa, J.; Varshney, R.K. (Nature Research; Springer Nature, 2018)

Article

A hierarchical bayesian estimation model for multienvironment plant breeding trials in successive years

Jarquín, D.; Pérez-Elizalde, S.; Burgueño, J.; Crossa, J. (Crop Science Society of America (CSSA), 2016)

Article

IBFIELDBOOK, an integrated breeding field book for plant breeding

Lugo-Espinosa, O.; Sanchez-Gutierrez, T.M.; Camarena-Sagredo, J.G.; Vargas Hernández, M.; Alvarado Beltrán, G.; Jarquin, D.; Burgueño, J.; Crossa, J.; Sanchez-Villeda, H. (Sociedad Mexicana de Fitogenética, 2013)

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