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Sanjay Singh

Researcher at Indian Council of Agricultural Research

Publications -  52
Citations -  591

Sanjay Singh is an academic researcher from Indian Council of Agricultural Research. The author has contributed to research in topics: Germplasm & Quantitative trait locus. The author has an hindex of 12, co-authored 50 publications receiving 422 citations. Previous affiliations of Sanjay Singh include Sanjay Gandhi Post Graduate Institute of Medical Sciences & Indian Agricultural Research Institute.

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Harnessing genetic potential of wheat germplasm banks through impact-oriented-prebreeding for future food and nutritional security.

TL;DR: Positive contributions of exotic germplasm to pre-breeding lines derived from crosses of exotics with CIMMYT’s best elite lines are demonstrated, resulting in large-scale development of PBLs for deployment in breeding programs addressing food security under climate change scenarios.
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Wheat rusts in India: resistance breeding and gene deployment - a review.

TL;DR: The genetic diversification in wheat has not only proved critical in developing resistant cultivars but also in the understanding of disease epidemiology and its dynamics and has gradually reduced the magnitude and frequency of epidemics.
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Molecular and morphological characterization of Indian farmers rice varieties (Oryza sativa L.).

TL;DR: Clustering of Indian farmers’ rice varieties according to their genotypes as well as phenotypes revealed the possible linkage or pleiotropic effects of the genomic regions associated with some grain quality traits.
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Origin and Genetic Diversity of Aromatic Rice Varieties, Molecular Breeding and Chemical and Genetic Basis of Rice Aroma

TL;DR: To safeguard the reputation of Basmati rice an international code of practice has been developed where DNA markers help check the purity of commercial samples and advanced genomic and metabolomic approaches are used to further study the minor genes controlling rice aroma and understand the variation in type, intensity and stability of rice aroma.
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Association mapping reveals multiple QTLs for grain protein content in rice useful for biofortification

TL;DR: The study provided clue for simultaneous improvement of PC with high grain yield in rice and detected 7 strongly associated QTLs for grain PC by both MLM and GLM analysis.