Author: 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

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

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 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

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

Replication Data for: Identification and validation of genomic regions associated with charcoal rot resistance in tropical maize by genome-wide association and linkage mapping

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

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA

Replication Data for: Genetic Dissection of Resistance to Gray Leaf Spot by Combining Genome-Wide Association, Linkage Mapping and Genomic Prediction in Tropical Maize Germplasm

Sudha Nair Biswanath Das MacDonald Jumbo Dan Makumbi Suresh L.M. Yoseph Beyene Michael Olsen Prasanna Boddupalli Manje Gowda (2020)

Gray leaf spot (GLS) is a major maize foliar disease in sub-Saharan Africa that can substantially reduce yields for farmers. This dataset contains supporting phenotypic and genotypic data used in the analysis of the genetic architecture of GLS resistance in maize. The data in this paper relate to several different sets of germplasm: (1) The IMAS (Improved Maize for Africa Soils) panel with 430 lines assembled from diverse breeding programs from Africa, Asia and Latin America. (2) A DH population developed from crossing CML550 with CML494; (3) A DH population developed from crossing CML550 with CML504; (4) A DH population developed from crossing CML550 with CML511; and (5) several F3 populations The IMAS panel is a good source for genetic studies on resistance for several maize diseases and also for abiotic stress like low N conditions. The DH populations are a good source for low N discovery studies as well as for MLN and other disease resistance studies.

Dataset

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA