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Article

Increased prediction accuracy in wheat breeding trials using a marker x environment interaction Genomic Selection model

Lopez-Cruz, M.; Poland, J.; Jannink, J.L.; De los Campos, G.; Crossa, J.; Singh, R.P.; Dreisigacker, S.; Bonnett, D.; Autrique, E. (Genetics Society of America, 2015)

Genomic selection (GS) models use genome-wide genetic information to predict genetic values of candidates of selection. Originally, these models were developed without considering genotype · environment interaction( G·E). ...

Article

Genome‑wide association and genomic prediction of resistance to maize lethal necrosis disease in tropical maize germplasm

Gowda, M.; Das, B.; Makumbi, D.; Babu, R.; Semagn, K.; Mahuku, G.; Olsen, M.S.; Bright, J.M.; Beyene, Y.; Prasanna, B.M. (Springer, 2015)

The maize lethal necrosis disease (MLND) caused by synergistic interaction of Maize chlorotic mottle virus and Sugarcane mosaic virus, and has emerged as a serious threat to maize production in eastern Africa since 2011. ...

Article

Genomic prediction of rust resistance in tetraploid wheat under field and controlled environment conditions

Azizinia, S.; Bariana, H.S.; Kolmer, J.A.; Pasam, R.K.; Bhavani, S.; Chhetri, M.; Toor, A.; Miah, H.; Hayden, M.; Pino del Carpio, D.; Bansal, U.; Daetwyler, H.D. (MDPI, 2020)

Article

Application of multi-trait Bayesian decision theory for parental genomic selection

Villar-Hernandez, B.d.J.; Perez-Elizalde, S.; Martini, J.W.R.; Toledo, F.H.; Perez-Rodriguez, P.; Krause, M.; García-Calvillo, I.D.; Covarrubias, E.; Crossa, J. (Genetics Society of America, 2021)

Article

Origin specific genomic selection: a simple process to optimize the favorable contribution of parents to progeny

Chin Jian Yang; Sharma, R.; Gorjanc, G.; Hearne, S.; Powell, W.; Mackay, I. (Genetics Society of America, 2020)

Article

Genomic-enabled prediction with classification algorithms

Ornella, L.; Pérez, P.; Tapia, E.; González-Camacho, J.M.; Burgueño, J.; Zhang, X.; Singh, S.; Vicente, F.S.; Bonnett, D.; Dreisigacker, S.; Singh, R.; Long, N.; Crossa, J. (Springer Nature, 2014)

Pearson’s correlation coefficient (ρ) is the most commonly reported metric of the success of prediction in genomic selection (GS). However, in real breeding ρ may not be very useful for assessing the quality of the regression ...

Article

Genomic selection for grain yield in the CIMMYT Wheat Breeding Program—status and perspectives

Juliana, P.; Singh, R.P.; Braun, H.J.; Huerta-Espino, J.; Crespo-Herrera, L.A.; Velu, G.; Mondal, S.; Poland, J.A.; Shrestha, S. (Frontiers, 2020)

Article

A review of deep learning applications for genomic selection

Montesinos-Lopez, O.A.; Montesinos-Lopez, A.; Perez-Rodriguez, P.; Barrón-López, A.; Martini, J.W.R.; Fajardo-Flores, S.B.; Gaytan-Lugo, L.S.; Santana-Mancilla, P.C.; Crossa, J. (BioMed Central, 2021)

Article

Genomic resources in plant breeding for sustainable agriculture

Thudi, M.; Palakurthi, R.; Schnable, J.C.; Annapurna Chitikineni; Dreisigacker, S.; Mace, E.; Rakesh Kumar Srivastava; Satyavathi, C.T.; Odeny, D.A.; Vijay Tiwari; Hon-Ming Lam; Yan-Bin Hong; Singh, V.K.; Guowei Li; Yunbi Xu; Xiao-Ping Chen; Kaila, S.; Nguyen, H.T.; Sivasankar, S.; Jackson, S.A.; Close, T.J.; Wan Shubo; Varshney, R.K. (Elsevier, 2021)

Article

A zero altered Poisson random forest model for genomic-enabled prediction

Montesinos-Lopez, O.A.; Montesinos-López, A.; Mosqueda-Gonzalez, B.A.; Montesinos-Lopez, J.C.; Crossa, J.; Lozano-Ramirez, N.; Singh, P.K.; Valladares-Anguiano, F.A. (Genetics Society of America, 2021)

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Increased prediction accuracy in wheat breeding trials using a marker x environment interaction Genomic Selection model

Genome‑wide association and genomic prediction of resistance to maize lethal necrosis disease in tropical maize germplasm

Genomic prediction of rust resistance in tetraploid wheat under field and controlled environment conditions

Application of multi-trait Bayesian decision theory for parental genomic selection

Origin specific genomic selection: a simple process to optimize the favorable contribution of parents to progeny

Genomic-enabled prediction with classification algorithms

Genomic selection for grain yield in the CIMMYT Wheat Breeding Program—status and perspectives

A review of deep learning applications for genomic selection

Genomic resources in plant breeding for sustainable agriculture

A zero altered Poisson random forest model for genomic-enabled prediction

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Increased prediction accuracy in wheat breeding trials using a marker x environment interaction Genomic Selection model

Genome‑wide association and genomic prediction of resistance to maize lethal necrosis disease in tropical maize germplasm

Genomic prediction of rust resistance in tetraploid wheat under field and controlled environment conditions

Application of multi-trait Bayesian decision theory for parental genomic selection

Origin specific genomic selection: a simple process to optimize the favorable contribution of parents to progeny

Genomic-enabled prediction with classification algorithms

Genomic selection for grain yield in the CIMMYT Wheat Breeding Program—status and perspectives

A review of deep learning applications for genomic selection

Genomic resources in plant breeding for sustainable agriculture

A zero altered Poisson random forest model for genomic-enabled prediction