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Autor: Raman Babu
HTMA MPS1 Cycle 1 Genotyping for GEBV estimation
Sudha Nair Raman Babu Pervez Zaidi vinayan mt (2017)
Cycle1 formed by inter mating selected S2 families genotypes genotyped with 84 SNPs for GEBV estimation for grain yield
Dataset
Genotypic results for heat tolerance marker-assisted selection 1
Sudha Nair Raman Babu Pervez Zaidi vinayan mt (2016)
This study provides the genotypic results for a BC2F1 population screened with seven markers associated with heat tolerance-related QTL.
Dataset
HTMA MPS2 Cycle 2 genotyping for GEBV estimation
Sudha Nair Raman Babu Pervez Zaidi vinayan mt (2017)
Cycle 2 formed by inter mating selected Cycle1 genotypes genotyped with 93 SNPs for GEBV estimation for grain yield
Dataset
HTMA MPS2 Cycle 1 Genotyping for GEBV estimation
Sudha Nair Raman Babu Pervez Zaidi vinayan mt (2017)
Cycle 1 formed by inter mating selected S2 families genotypes genotyped with 84 SNPs for GEBV estimation for grain yield
Dataset
HTMA MPS1 Cycle 2 genotyping for GEBV estimation
Sudha Nair Raman Babu Pervez Zaidi vinayan mt (2017)
Cycle 2 formed by inter mating selected Cycle1 genotypes genotyped with 93 SNPs for GEBV estimation for grain yield
Dataset
Jill Cairns Raman Babu Manje Gowda Dan Makumbi Cosmos Magorokosho Michael Olsen Prasanna Boddupalli Yanli Lu XUECAI ZHANG (2018)
Drought stress, heat stress, and combination of drought stress and heat stress have been recognized as the major abiotic constraints to maize yields in the main production regions. The phenotypic data used in the current study had been published by Jill E. Cairns et al in 2013 in the journal of Crop Science 53 :1335–1346 ( https://dx.doi.org/10.2135/cropsci2012.09.0545). In this study, the association mapping and genomic prediction analyses were conducted in a collection of 300 tropical and subtropical maize inbred lines to reveal the genetic architecture of grain yield and flowering time under well-watered, drought stress, heat stress, and combined drought and heat stress conditions. The genetic architecture information of the grain yield and flowering time revealed in this study, and the genomic regions identified for the different trait-environment combinations are helpful accelerating the efforts on rapid development of the stress-tolerant maize germplasm through marker-assisted selection or genomic selection.
Dataset