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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

Genetic gains in grain yield of a maize population improved through marker assisted recurrent selection under stress and non-stress conditions in West Africa

Abdulmalik, R.O.; Menkir, A.; Meseka, S.; Unachukwu, N.; Ado, S.; Olarewaju, J. D.; Aba, D. A.; Hearne, S.; Crossa, J.; Gedil, M. (Frontiers, 2017)

Marker-assisted recurrent selection (MARS) is a breeding method used to accumulate favorable alleles that for example confer tolerance to drought in inbred lines from several genomic regions within a single population. A ...

Article

Effectiveness of Genomic Prediction of Maize Hybrid Performance in Different Breeding Populations and Environments

Windhausen, V.S.; Atlin, G.N.; Hickey, J.M.; Crossa, J.; Jannink, J.L.; Sorrells, M.E.; Babu, R.; Cairns, J.E.; Amsal Tesfaye Tarekegne; Fentaye Kassa Semagn; Beyene, Y.; Grudloyma, P.; Technow, F.; Riedelsheimer, C.; Melchinger, A.E. (Genetics Society of America, 2012)

Genomic prediction is expected to considerably increase genetic gains by increasing selection intensity and accelerating the breeding cycle. In this study, marker effects estimated in 255 diverse maize (Zea mays L.) hybrids ...

Article

Maize responsiveness to Azospirillum brasilense: insights into genetic control, heterosis and genomic prediction

Vidotti, M.S.; Matias, F.I.; Alves, F.C.; Perez-Rodriguez, P.; Alvarado Beltrán, G.; Burgueño, J.; Crossa, J.; Fritsche-Neto, R. (Public Library of Science, 2019)

Article

Changes in the bacterial community structure in soil under conventional and conservation practices throughout a complete maize (Zea mays L.) crop cycle

Romero-Salas, E.A.; Navarro–Noya, Y.E.; Luna Guido, M.; Verhulst, N.; Crossa, J.; Govaerts, B.; Dendooven, L. (Elsevier, 2021)

Presentation

CIMMYT Eastern Africa Intermediate Maturity Maize Breeding Program

Beyene, Y.; Mugo, S.N.; Jumbo, M.B.; Regasa, M.W.; Gowda, M.; Mahabaleswara, S.L.; Chaikam, V.; Bruce, A.Y.; Olsen, M.; Prasanna, B.M.; Crossa, J.; Chavangi, A.; Gichobi, P. (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)

Other

Correction to: factor analysis to investigate genotype and genotype × environment interaction effects on pro-vitamin A content and yield in maize synthetics (Euphytica, (2019), 215, 11, (180), 10.1007/s10681-019-2505-3)

Mengesha, W.; Menkir, A.; Meseka, S.; Bossey, B.; Afolabi, A.; Burgueño, J.; Crossa, J. (Springer, 2019)

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)

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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

Genetic gains in grain yield of a maize population improved through marker assisted recurrent selection under stress and non-stress conditions in West Africa

Effectiveness of Genomic Prediction of Maize Hybrid Performance in Different Breeding Populations and Environments

Maize responsiveness to Azospirillum brasilense: insights into genetic control, heterosis and genomic prediction

Changes in the bacterial community structure in soil under conventional and conservation practices throughout a complete maize (Zea mays L.) crop cycle

CIMMYT Eastern Africa Intermediate Maturity Maize Breeding Program

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

Correction to: factor analysis to investigate genotype and genotype × environment interaction effects on pro-vitamin A content and yield in maize synthetics (Euphytica, (2019), 215, 11, (180), 10.1007/s10681-019-2505-3)

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

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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

Genetic gains in grain yield of a maize population improved through marker assisted recurrent selection under stress and non-stress conditions in West Africa

Effectiveness of Genomic Prediction of Maize Hybrid Performance in Different Breeding Populations and Environments

Maize responsiveness to Azospirillum brasilense: insights into genetic control, heterosis and genomic prediction

Changes in the bacterial community structure in soil under conventional and conservation practices throughout a complete maize (Zea mays L.) crop cycle

CIMMYT Eastern Africa Intermediate Maturity Maize Breeding Program

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

Correction to: factor analysis to investigate genotype and genotype × environment interaction effects on pro-vitamin A content and yield in maize synthetics (Euphytica, (2019), 215, 11, (180), 10.1007/s10681-019-2505-3)

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