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Presentation

The development of drought tolerant maize germplasm in sub-Saharan Africa using marker-assisted recurrent selection and genomic selection

Beyene, Y.; Fentaye Kassa Semagn; Mugo, S.N.; Meisel, B.; Oikeh, S.O; Amsal Tesfaye Tarekegne; Olsen, M.; Prasanna, B.M.; Crossa, J. (CIMMYT, 2016)

Article

Maximizing efficiency of genomic selection in CIMMYT's tropical maize breeding program

Atanda, A.S.; Olsen, M.; Burgueño, J.; Crossa, J.; Dzidzienyo, D.; Beyene, Y.; Gowda, M.; Dreher, K.A.; Zhang, X.; Prasanna, B.M.; Tongoona, P.; Danquah, E.; Olaoye, G.; Robbins, K. (Springer, 2021)

Article

Strategies for effective use of genomic information in crop breeding programs serving Africa and South Asia

Santantonio, N.; Atanda, A.S.; Beyene, Y.; Varshney, R.K.; Olsen, M.; Jones, E.; Roorkiwal, M.; Gowda, M.; Chellapilla Bharadwaj; Pooran M. Gaur; Zhang, X.; Dreher, K.A.; Ayala Hernández, C.; Crossa, J.; Perez-Rodriguez, P.; Abhishek Rathore; Yanxin Gao; McCouch, S.; Robbins, K. (Frontiers, 2020)

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)

Presentation

Importancia da biometria no melhoramento

Toledo, F.H.; Juliana, P.; Crespo-Herrera, L.A.; Crossa, J.; Burgueño, J. (CIMMYT, 2019)

Article

Empirical comparison of tropical maize hybrids selected through genomic and phenotypic selections

Beyene, Y.; Gowda, M.; Olsen, M.; Robbins, K.; Perez-Rodriguez, P.; Alvarado Beltrán, G.; Dreher, K.A.; Yanxin Gao; Mugo, S.N.; Prasanna, B.M.; Crossa, J. (Frontiers, 2019)

Article

Multi-trait, multi-environment genomic prediction of durum wheat with genomic best linear unbiased predictor and deep learning methods

Montesinos-Lopez, O.A.; Montesinos-Lopez, A.; Tuberosa, R.; Maccaferri, M.; Sciara, G.; Ammar, K.; Crossa, J. (Frontiers, 2019)

Although durum wheat (Triticum turgidum var. durum Desf.) is a minor cereal crop representing just 5-7% of the world's total wheat crop, it is a staple food in Mediterranean countries, where it is used to produce pasta, ...

Article

Combined multistage linear genomic selection indices to predict the net genetic merit in plant breeding

Ceron Rojas, J.J.; Crossa, J. (Genetics Society of America, 2020)

Article

Genomic prediction of kernel zinc concentration in multiple maize populations using genotyping-by-sequencing and repeat amplification sequencing markers

Rui Guo; Dhliwayo, T.; Mageto, E.K.; Palacios-Rojas, N.; Lee, M.; Diansi Yu; Yanye Ruan; Ao Zhang; San Vicente, F.M.; Olsen, M.; Crossa, J.; Prasanna, B.M.; Lijun Zhang; Zhang, X. (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)

CIMMYT Publications Repository

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The development of drought tolerant maize germplasm in sub-Saharan Africa using marker-assisted recurrent selection and genomic selection

Maximizing efficiency of genomic selection in CIMMYT's tropical maize breeding program

Strategies for effective use of genomic information in crop breeding programs serving Africa and South Asia

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

Importancia da biometria no melhoramento

Empirical comparison of tropical maize hybrids selected through genomic and phenotypic selections

Multi-trait, multi-environment genomic prediction of durum wheat with genomic best linear unbiased predictor and deep learning methods

Combined multistage linear genomic selection indices to predict the net genetic merit in plant breeding

Genomic prediction of kernel zinc concentration in multiple maize populations using genotyping-by-sequencing and repeat amplification sequencing markers

A review of deep learning applications for genomic selection

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The development of drought tolerant maize germplasm in sub-Saharan Africa using marker-assisted recurrent selection and genomic selection

Maximizing efficiency of genomic selection in CIMMYT's tropical maize breeding program

Strategies for effective use of genomic information in crop breeding programs serving Africa and South Asia

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

Importancia da biometria no melhoramento

Empirical comparison of tropical maize hybrids selected through genomic and phenotypic selections

Multi-trait, multi-environment genomic prediction of durum wheat with genomic best linear unbiased predictor and deep learning methods

Combined multistage linear genomic selection indices to predict the net genetic merit in plant breeding

Genomic prediction of kernel zinc concentration in multiple maize populations using genotyping-by-sequencing and repeat amplification sequencing markers

A review of deep learning applications for genomic selection