Saurabh Badoni

发表

Brassinosteroid Signaling and Complex Interplay of ROS, NADPH Oxidase, and MAPK Mediated Biotic and Abiotic Stress Acclimation in Plants

Megha D. Bhatt, M. Nath, Mayank Sharma, 2019, Plant Signaling Molecules.

A genome-scale integrated approach aids in genetic dissection of complex flowering time trait in chickpea

Vinod Kumar, H. Upadhyaya, A. Tyagi, 2015, Plant Molecular Biology.

Ultra-high density intra-specific genetic linkage maps accelerate identification of functionally relevant molecular tags governing important agronomic traits in chickpea

Vinod Kumar, H. Upadhyaya, A. Tyagi, 2015, Scientific Reports.

Enhancing rust resistance in wheat through marker assisted backcross breeding

Anupama Singh, J. Jaiswal, Saurabh Badoni, 2017 .

An Efficient Strategy Combining SSR Markers- and Advanced QTL-seq-driven QTL Mapping Unravels Candidate Genes Regulating Grain Weight in Rice

Ashutosh Kumar Singh, Rishi Srivastava, A. Tyagi, 2016, Front. Plant Sci..

A genome-wide SNP scan accelerates trait-regulatory genomic loci identification in chickpea

Vinod Kumar, H. Upadhyaya, A. Tyagi, 2015, Scientific Reports.

Dissecting the genome-wide genetic variants of milling and appearance quality traits in rice

A. Graner, N. Sreenivasulu, M. Morell, 2019, Journal of experimental botany.

Systems seed biology to understand and manipulate rice grain quality and nutrition

R. Henry, N. Sreenivasulu, Saurabh Badoni, 2022, Critical reviews in biotechnology.

A Genome-wide Combinatorial Strategy Dissects Complex Genetic Architecture of Seed Coat Color in Chickpea

S. Cannon, Vinod Kumar, M. Monteros, 2015, Front. Plant Sci..

Genome‐wide association coupled gene to gene interaction studies unveil novel epistatic targets among major effect loci impacting rice grain chalkiness

R. Mott, H. Leung, N. Sreenivasulu, 2020, Plant biotechnology journal.

Deciphering the Genetic Architecture of Cooked Rice Texture

N. Sreenivasulu, Gopal Misra, C. Domingo, 2018, Front. Plant Sci..

Genome-wide conserved non-coding microsatellite (CNMS) marker-based integrative genetical genomics for quantitative dissection of seed weight in chickpea

H. Upadhyaya, A. Tyagi, S. Sharma, 2014, Journal of experimental botany.

Integrating a genome‐wide association study with a large‐scale transcriptome analysis to predict genetic regions influencing the glycaemic index and texture in rice

N. Sreenivasulu, M. Morell, A. Bird, 2019, Plant biotechnology journal.

Genome-wide high-throughput SNP discovery and genotyping for understanding natural (functional) allelic diversity and domestication patterns in wild chickpea

Vinod Kumar, A. Tyagi, S. Parida, 2015, Scientific Reports.

Natural Allelic Diversity, Genetic Structure and Linkage Disequilibrium Pattern in Wild Chickpea

Vinod Kumar, A. Tyagi, S. Parida, 2014, PloS one.

Deploying QTL-seq for rapid delineation of a potential candidate gene underlying major trait-associated QTL in chickpea

Laxmi, Vinod Kumar, H. Upadhyaya, 2015, DNA research : an international journal for rapid publication of reports on genes and genomes.

Whole genome sequencing-based association study to unravel genetic architecture of cooked grain width and length traits in rice

N. Alexandrov, A. Graner, N. Sreenivasulu, 2017, Scientific Reports.

Genome-wide generation and use of informative intron-spanning and intron-length polymorphism markers for high-throughput genetic analysis in rice

Akhilesh K Tyagi, Ashutosh Kumar Singh, Ashok K Singh, 2016, Scientific Reports.

Unveilingsources of stripe rust resistance in diverse wheat (Triticum Aestivum L.) germplasm using narrow down methodology: a proof of concept

R. S. Rawat, Deepshikha, R. Shekhar, 2017, Journal of Crop Science and Biotechnology.

Employing genome-wide SNP discovery and genotyping strategy to extrapolate the natural allelic diversity and domestication patterns in chickpea

Vinod Kumar, H. Upadhyaya, A. Tyagi, 2015, Front. Plant Sci..

A combinatorial approach of comprehensive QTL-based comparative genome mapping and transcript profiling identified a seed weight-regulating candidate gene in chickpea

Vinod Kumar, H. Upadhyaya, A. Tyagi, 2015, Scientific Reports.

Pyramiding of genes for grain protein content, grain quality, and rust resistance in eleven Indian bread wheat cultivars: a multi-institutional effort

Ashutosh Kumar Singh, V. K. Mishra, V. Jaiswal, 2022, Molecular Breeding.

Pyramiding of genes for grain protein content, grain quality, and rust resistance in eleven Indian bread wheat cultivars: a multi-institutional effort

Ashutosh Kumar Singh, V. K. Mishra, Sachin Kumar, 2021, Molecular Breeding.

bHLH142 regulates various metabolic pathway-related genes to affect pollen development and anther dehiscence in rice

R. Khurana, S. Kapoor, A. Tyagi, 2017, Scientific Reports.

A genome-scale integrated approach aids in genetic dissection of complex flowering time trait in chickpea

Vinod Kumar, H. Upadhyaya, A. Tyagi, 2015, Plant Molecular Biology.

Combining ability studies for seed yield related attributes and quality parameters in bread wheat (Triticum aestivum L.)

J. Jaiswal, Saurabh Badoni, M. Akhtar, 2017 .

Unveilingsources of stripe rust resistance in diverse wheat (Triticum Aestivum L.) germplasm using narrow down methodology: a proof of concept

R. S. Rawat, J. Jaiswal, K. Tiwari, 2017, Journal of Crop Science and Biotechnology.

The genetics underlying metabolic signatures in a brown rice diversity panel and their vital role in human nutrition.

A. Fernie, N. Sreenivasulu, Y. Brotman, 2021, The Plant journal : for cell and molecular biology.

Whole genome sequencing-based association study to unravel genetic architecture of cooked grain width and length traits in rice

Andreas Graner, Nickolai Alexandrov, Nese Sreenivasulu, 2017, Scientific Reports.

OsTPR boosts the superior grains through increase in upper secondary rachis branches without incurring a grain quality penalty

A. Kohli, N. Sreenivasulu, Gopal Misra, 2021, Plant biotechnology journal.

Integrating a genome‐wide association study with a large‐scale transcriptome analysis to predict genetic regions influencing the glycaemic index and texture in rice

N. Sreenivasulu, M. Morell, A. Bird, 2019, Plant biotechnology journal.

Multiomics of a rice population identifies genes and genomic regions that bestow low glycemic index and high protein content

G. S. Khush, A. Fernie, N. Sreenivasulu, 2024, Proceedings of the National Academy of Sciences of the United States of America.

Multi-omics of a rice population identifies genes and genomic regions in rice that bestow low glycemic index and high protein content

G. S. Khush, A. Fernie, N. Sreenivasulu, 2024, bioRxiv.