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Autor: Sudha Nair
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
Zerka Rashid Sudha Nair (2023)
Maize post-flowering stalk rots (PFSR) are caused by at least six genera of fungal pathogens. They generally occur as a complex, along with secondary colonizers. PFSR are reported from all major maize growing ecologies and are expected to be exacerbated by the changing climates in Latin America, Asia, and Sub-Saharan Africa, A better understanding of the prevalence and spread of the stalk rot pathogens in different maize agro ecologies in Asia could contribute to plans to reduce damage caused by PFSRs. The data presented in this study from from a collection of samples from PFSR-affected maize plant stalks in India. The samples were collected in 2022 from 19 locations. The results of the analysis of the pathogens are presented in the report present in this study and accompanying article.
Dataset
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 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
Zerka Rashid S.I HARLAPUR Sudha Nair (2021)
Charcoal rot, caused by the fungal pathogen, Macrophomina phaseolina, is a serious concern for small holder maize cultivation. It can cause significant yield loss and plant lodging at harvest. A genome wide association study (GWAS) was conducted using the CIMMYT Asia panel of 396 tropical-adapted lines to identify and validate genomic variants associated with charcoal rot resistance. In addition, two F2:3 populations were used in a QTL mapping exercise. This dataset contains the genotypic data underlying both types of analyses. Results of the analysis are presented in the related journal article.
Dataset
Zerka Rashid Shilpee Sharma Sudha Nair (2022)
Artículo
Genome-Wide Association Study Fusarium Stalk Rot CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA FUSARIUM MAIZE DISEASE RESISTANCE QUANTITATIVE TRAIT LOCI MAPPING
Zerka Rashid Shyam Sunder Sharma Sudha Nair (2022)
The economically important post flowering stalk rot (PFSR) disease of maize known as Fusarium stalk rot (FSR) is caused by Fusarium verticillioides. A genome wide association study (GWAS) was conducted with 342 maize lines for identification and validation of genomic regions associated with FSR resistance. The genotypic and phenotypic data used for the analysis are included in this dataset and the results are reported in the accompanying article.
Dataset
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