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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
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
Selection indices for identifying heat tolerant of maize (Zea mays)
Pervez Zaidi (2023)
Artículo
Stress Tolerance Indices Geometric Mean Productivity Stress Susceptibility Index Statistical Correlation CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA CORRELATION HEAT STRESS ZEA MAYS DROUGHT STRESS BREEDING PROGRAMMES
Pervez Zaidi (2023)
Artículo
Additive Main Effects Multiplicative Interaction GGE Biplot Analysis CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA MAIZE GENOTYPE ENVIRONMENT INTERACTION ADDITIVE EFFECT PRINCIPAL COMPONENT ANALYSIS
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
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
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
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
Casper Nyaradzai Kamutando Cosmos Magorokosho Pervez Zaidi (2023)
Artículo
Gene Action Grain Yield CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA COMBINING ABILITY EXOTIC GERMPLASM GRAIN YIELDS HEAT STRESS