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Autor: Sudha Nair
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
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
Pervez Zaidi vinayan mt Sudha Nair Prakash Kuchanur Ayyanagouda Patil Atul Kulkarni Prasanna Boddupalli (2023)
Artículo
Lowland Tropics CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA CLIMATE CHANGE DROUGHT HEAT STRESS LOWLAND MAIZE VAPOUR PRESSURE DEFICIT
Wajhat Un nisa Surinder K. Sandhu Sudha Nair Harleen Kaur Dr Ashok Kumar Zerka Rashid GAJANAN SAYKHEDKAR (2023)
Maydis Leaf Blight (MLB) is a serious foliar disease for maize in warm and humid regions. The data in this dataset were used to investigate the genetic architecture underlying resistance to MLB using high resolution Genome Wide Association Studies and Genomic Prediction. A diverse panel of 336 maize inbreds adapted for the Asian tropics, were evaluated for MLB disease score under four environments using artificial inoculation. In addition, a set of high density SNPs (128,490) from genotyping by sequencing were used for the study. The results of this study are presented in the accompanying publication.
Dataset
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
Alberto Antonio Chassaigne Ricciulli Kate Dreher Sudha Nair Manje Gowda Yoseph Beyene Dan Makumbi Thanda Dhliwayo Felix San Vicente Garcia Michael Olsen Prasanna Boddupalli XUECAI ZHANG (2022)
CIMMYT develops and distributes elite tropical CIMMYT maize lines (CMLs) for use around the world. This dataset contains genotypic profiles for all 615 of the CML lines released by 2022 and fourteen temperate maize inbred lines. All lines were genotyped with 180 kompetitive allele-specific PCR (KASP) markers. These data were used to generate a reference fingerprinting dataset using 152 high-quality markers. These data were also used to perform analyses concerning the relationships between different CMLs and temperate materials in the accompanying journal article.
Dataset