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Gunvant Patil

Researcher at Texas Tech University

Publications -  59
Citations -  2225

Gunvant Patil is an academic researcher from Texas Tech University. The author has contributed to research in topics: Gene & Genome. The author has an hindex of 22, co-authored 53 publications receiving 1418 citations. Previous affiliations of Gunvant Patil include Swedish University of Agricultural Sciences & University of Missouri.

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Integrating omic approaches for abiotic stress tolerance in soybean.

TL;DR: This review has described advances in omic tools in the view of conventional and modern approaches being used to dissect abiotic stress tolerance in soybean and addressed the significance of phenomics in the integrated approaches and recognized high-throughput multi-dimensional phenotyping as a major limiting factor for the improvement of abiotic Stress tolerance in Soybean.
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Soybean (Glycine max) SWEET gene family: insights through comparative genomics, transcriptome profiling and whole genome re-sequence analysis

TL;DR: Gene expression profiling at different developmental stages and genomic variation data will aid as an important resource for the soybean research community and can be extremely valuable for understanding sink unloading and enhancing carbohydrate delivery to developing seeds for improving yield.
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Genomic-assisted haplotype analysis and the development of high-throughput SNP markers for salinity tolerance in soybean

TL;DR: High quality whole-genome resequencing was utilized on 106 diverse soybean lines and three major structural variants and allelic variation in the promoter and genic regions of the GmCHX1 gene were identified, identifying salt-tolerant/sensitive genotypes and different structural-variants.
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Landscape of genomic diversity and trait discovery in soybean.

TL;DR: A genome-wide association study of major traits including oil and protein content, salinity, and domestication traits resulted in the discovery of novel alleles in soybean, and provided a valuable resource for understanding soybean genome structure and evolution.
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Molecular mapping and genomics of soybean seed protein: a review and perspective for the future.

TL;DR: The progress in mapping and genomics is described, the need for integrated approaches for integrating protein and amino acid QTL is highlighted, and advances in next-generation sequencing technologies for precise detection of natural variants and their integration with conventional and high-throughput genotyping technologies are described.