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H. D. Upadhyaya · SciRah

Researcher profile · Semantic Scholar

H. D. Upadhyaya

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H. D. Upadhyaya — researcher profile on SciRah

h-index: 18
Works: 25
Citations: 1,929

Most-cited papers

Genome-environment associations in sorghum landraces predict adaptive traits
Jesse R. Lasky, H. D. Upadhyaya, P. Ramu, S. Deshpande +10 more
2015Science Advances274 citations Open access
Semantic Scholar
Accessing genetic diversity for crop improvement.
J. Glaszmann, B. Kilian, H. D. Upadhyaya, R. K. Varshney
2010Current opinion in plant biology268 citations Open access
Semantic Scholar
A QTL study on late leaf spot and rust revealed one major QTL for molecular breeding for rust resistance in groundnut (Arachis hypogaea L.)
Y. Khedikar, M. V. C. Gowda, C. Sarvamangala, K. Patgar +2 more
2010Theoretical and Applied Genetics210 citations Open access
Semantic Scholar
Genetic and genomic resources, and breeding for accelerating improvement of small millets: current status and future interventions
M. Vetriventhan, V. Azevedo, H. D. Upadhyaya, A. Nirmalakumari +12 more
2020The Nucleus140 citations Open access
Semantic Scholar
Genomewide Association Studies for 50 Agronomic Traits in Peanut Using the ‘Reference Set’ Comprising 300 Genotypes from 48 Countries of the Semi-Arid Tropics of the World
M. Pandey, H. D. Upadhyaya, A. Rathore, V. Vadez +20 more
2014PLoS ONE126 citations Open access
Semantic Scholar
Genetic dissection of seed-iron and zinc concentrations in chickpea
H. D. Upadhyaya, D. Bajaj, Shouvik Das, Vinod Kumar +4 more
2016Scientific Reports114 citations Open access
Semantic Scholar
Assessment of genetic diversity in the sorghum reference set using EST-SSR markers
P. Ramu, C. Billot, J. Rami, S. Senthilvel +3 more
2013Theoretical and Applied Genetics93 citations Open access
Semantic Scholar
Ultra-high density intra-specific genetic linkage maps accelerate identification of functionally relevant molecular tags governing important agronomic traits in chickpea
Alice Kujur, H. D. Upadhyaya, T. Shree, D. Bajaj +10 more
2015Scientific Reports90 citations Open access
Semantic Scholar
Barnyard millet – a potential food and feed crop of future
S. Sood, Rajesh K. Khulbe, Arun Gupta, P. K. Agrawal +2 more
201582 citations Open access
Semantic Scholar
A combinatorial approach of comprehensive QTL-based comparative genome mapping and transcript profiling identified a seed weight-regulating candidate gene in chickpea
D. Bajaj, H. D. Upadhyaya, Yusuf Khan, Shouvik Das +10 more
2015Scientific Reports72 citations Open access
Semantic Scholar
A sorghum practical haplotype graph facilitates genome‐wide imputation and cost‐effective genomic prediction
S. Jensen, Jean Rigaud Charles, Kebede T. Muleta, P. Bradbury +17 more
2019bioRxiv69 citations Open access
Semantic Scholar
A genome-scale integrated approach aids in genetic dissection of complex flowering time trait in chickpea
H. D. Upadhyaya, D. Bajaj, Shouvik Das, Maneesha S. Saxena +7 more
2015Plant Molecular Biology69 citations Open access
Semantic Scholar
Cicer super-pangenome provides insights into species evolution and agronomic trait loci for crop improvement in chickpea
A. Khan, Vanika Garg, Shuai Sun, Saurabh Gupta +21 more
2024Nature Genetics62 citations
Semantic Scholar
Genome-wide conserved non-coding microsatellite (CNMS) marker-based integrative genetical genomics for quantitative dissection of seed weight in chickpea
D. Bajaj, Maneesha S. Saxena, Alice Kujur, Shouvik Das +8 more
2014Journal of Experimental Botany55 citations Open access
Semantic Scholar
Identification of candidate genes and natural allelic variants for QTLs governing plant height in chickpea
Alice Kujur, H. D. Upadhyaya, D. Bajaj, C. Gowda +3 more
2016Scientific Reports54 citations Open access
Semantic Scholar
Genome‐Wide Population Structure Analyses of Three Minor Millets: Kodo Millet, Little Millet, and Proso Millet
Matthew S. Johnson, S. Deshpande, M. Vetriventhan, H. D. Upadhyaya +1 more
2018bioRxiv46 citations Open access
Semantic Scholar
An efficient and cost-effective approach for genic microsatellite marker-based large-scale trait association mapping: identification of candidate genes for seed weight in chickpea
Alice Kujur, D. Bajaj, Maneesha S. Saxena, S. Tripathi +6 more
2014Molecular breeding37 citations Open access
Semantic Scholar
Population Genetics and Structure of a Global Foxtail Millet Germplasm Collection
H. D. Upadhyaya, M. Vetriventhan, S. Deshpande, Selvanayagam Sivasubramani +4 more
2015The Plant Genome33 citations Open access
Semantic Scholar
Cross-genera transferability of rice and finger millet genomic SSRs to barnyard millet (Echinochloa spp.)
B. K. Babu, S. Sood, Dinesh Kumar, A. Joshi +3 more
20183 Biotech16 citations Open access
Semantic Scholar
Genome-wide assessment of population structure and association mapping for agronomic and grain nutritional traits in proso millet (Panicum miliaceum L.)
M. Vetriventhan, H. D. Upadhyaya, S. Deshpande, Matthew S. Johnson +6 more
2024Scientific Reports9 citations Open access
Semantic Scholar
Genome-wide association mapping identifies novel SNPs for root nodulation and agronomic traits in chickpea
B. Chandana, R. K. Mahto, R. K. Singh, Aditi Bhandari +10 more
2024Frontiers in Plant Science8 citations Open access
Semantic Scholar
Author Correction: Cicer super-pangenome provides insights into species evolution and agronomic trait loci for crop improvement in chickpea
A. Khan, Vanika Garg, Shuai Sun, Saurabh Gupta +21 more
2024Nature Genetics3 citations
Semantic Scholar
Genome-wide association studies identified novel SNPs associated with efficient biological nitrogen fixation in chickpea (Cicer arietinum L.)
C. S., R. K. Mahto, R. K. Singh, R. V. +11 more
2025Frontiers in Plant Science2 citations Open access
Semantic Scholar
Significance and genetic diversity of SPAD chlorophyll meter reading in chickpea germplasm in the semi-arid environments
J. Kashiwagi, H. D. Upadhyaya, L. Krishnamurthy
20101 citations
Semantic Scholar
An efﬁcient and cost-effective approach for genic microsatellite marker-based large-scale trait association mapping: identiﬁcation of candidate genes for seed weight in chickpea
Alice Kujur, D. Bajaj, Maneesha S. Saxena, Shailesh Tripathi +11 more
0 citations
Semantic Scholar

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