Autor: Pervez Zaidi

Genotypic results for heat tolerance marker-assisted selection 1

Sudha Nair Pervez Zaidi (2016)

This study provides the genotypic results for a BC2F1 population screened with seven markers associated with heat tolerance-related QTL.

Dataset

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA

HTMA MPS2 Cycle 2 Genotyping For GEBV estimation

Pervez Zaidi (2017)

Cycle 2 formed by inter mating selected Cycle1 genotypes genotyped with 93 SNPs for GEBV estimation for grain yield

Dataset

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA

HTMA MPS1 Cycle 2 genotyping for GEBV estimation

Sudha Nair Pervez Zaidi (2017)

Cycle 2 formed by inter mating selected Cycle1 genotypes genotyped with 93 SNPs for GEBV estimation for grain yield

Dataset

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA

Replication Data for: Genome wide association mapping for heat tolerance in sub-tropical maize

Pervez Zaidi Sudha Nair (2021)

Heat tolerance is becoming increasingly important for maize grown in the spring season in India because heat stress can lead to devastating yield loss. The genotypic data provided in this dataset were used to carry out GWAS analyses on 662 doubled haploid lines to identify SNPs significantly associated with several traits under normal and heat stress conditions .Haplotype blocks associated with yield contributing traits were also identified. The genomic regions detected from these analyses will require further validation before being applied in breeding pipelines..

Dataset

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA

HTMA MPS2 Cycle 1 Genotyping for GEBV estimation

Sudha Nair Pervez Zaidi (2017)

Cycle 1 formed by inter mating selected S2 families genotypes genotyped with 84 SNPs for GEBV estimation for grain yield

Dataset

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA

HTMA MPS1 Cycle 1 Genotyping for GEBV estimation

Sudha Nair Pervez Zaidi (2017)

Cycle1 formed by inter mating selected S2 families genotypes genotyped with 84 SNPs for GEBV estimation for grain yield

Dataset

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA