Author: deepmala sehgal

Phenotypic evaluation of the Seeds of Discovery - MasAgro Biodiversidad Linked Topcross Population 1 (LTP1)

Juan Burgueño deepmala sehgal (2019)

Phenotypic evaluation of the Linked Topcross Population 1 (LTP1) from the MasAgro Biodiversidad - Seeds of Discovery Initiative under drought, heat, and irrigated conditions.

Dataset

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA

Replication Data for: Genome-wide association study of tan spot resistance in a hexaploid wheat collection from Kazakhstan

deepmala sehgal Susanne Dreisigacker (2020)

The genotypic data included in this dataset were generated using DArTseq by the SAGA genotyping laboratory in Mexico. The dataset contains 8,154 SNPs on candidate varieties from Kazakhstan and those released by CIMMYT-ICARDA-IWWIP program. These were evaluated for tan spot resistance at Kazakhstan.

Dataset

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA

Genomic selection models based on integration of GWAS loci and epistatic interactions

deepmala sehgal Suchismita Mondal Ravi Singh Susanne Dreisigacker (2020)

The potential to integrate consistent associations identified from GWAS as fixed variables in GP models to improve prediction accuracy for complex traits (for example, grain yield) has not been investigated comprehensively in wheat. Here, we untangled the genetic architecture of grain yield and yield stability by haplotypes-based GWAS and epistatic scan of the genome. We then integrated robust and stable associations (and interacting loci) as fixed effects in GP models to investigate the importance of these associations in improving prediction accuracies of the said traits. We concluded that the utility of GP incorporating GWAS results is noteworthy for GY when GWAS results identify significant and robust genomic regions.

Dataset

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA

Genome wide association mapping for grain yield and stripe rust resistance genes in Turkish landraces

deepmala sehgal Susanne Dreisigacker zafer mert EMEL SELMA OZER Alexey Morgounov (2016)

Turkish landraces were genotyped using GBS and phenotyped for grain yield and yield component traits and stripe rust resistance at three locations. The data was used for a genome wide association study and important marker-trait associations were identified.

Dataset

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA

Genome wide association mapping for grain yield and stripe rust resistance genes in Turkish landraces

deepmala sehgal Susanne Dreisigacker zafer mert EMEL SELMA OZER Alexey Morgounov (2016)

Turkish landraces were genotyped using GBS and phenotyped for grain yield and yield component traits and stripe rust resistance at three locations. The data was used for a genome wide association study and important marker-trait associations were identified.

Dataset

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA