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Xinyi Shi

Researcher at Chinese Academy of Sciences

Publications -  12
Citations -  500

Xinyi Shi is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Gene & Quantitative trait locus. The author has an hindex of 8, co-authored 10 publications receiving 368 citations. Previous affiliations of Xinyi Shi include Changchun University of Science and Technology & Heilongjiang University.

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Journal ArticleDOI

Natural variation at the soybean J locus improves adaptation to the tropics and enhances yield

TL;DR: The cloning and characterization of J are reported, and J is identified as the ortholog of Arabidopsis thaliana EARLY FLOWERING 3 (ELF3), and an important new component in flowering-time control in soybean is identified, providing new insight into soybean adaptation to tropical regions.
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InDel marker detection by integration of multiple softwares using machine learning techniques

TL;DR: Two algorithms for InDel detection are developed, one is the best F-score method (BF-M) and the other is the Support Vector Machine (SVM) method (S VM-M), which is based on the classical SVM model.
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A soybean quantitative trait locus that promotes flowering under long days is identified as FT5a, a FLOWERING LOCUS T ortholog.

TL;DR: Different expression levels of FT5a, an ortholog of FLOWERING LOCUS T, are identified as the molecular basis of a quantitative trait locus that promotes flowering under long-day conditions in soybean.
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QTL mapping for flowering time in different latitude in soybean

TL;DR: This study identified quantitative trait loci associated with flowering time, especially QTLs underlying the long juvenile (LJ) trait which delays flowering time under SD environments and provides a fundamental foundation for future studies of flowering time in soybean using fine mapping, map-based cloning, and molecular-assisted breeding.