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Masahiro Yano

Researcher at Rice University

Publications -  64
Citations -  5895

Masahiro Yano is an academic researcher from Rice University. The author has contributed to research in topics: Gene & Quantitative trait locus. The author has an hindex of 27, co-authored 64 publications receiving 5695 citations. Previous affiliations of Masahiro Yano include University of Tsukuba & National Agriculture and Food Research Organization.

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Mapping quantitative trait loci controlling seed dormancy and heading date in rice, Oryza sativa L., using backcross inbred lines

TL;DR: 98 BC1F5 lines (backcross inbred lines) derived from a backcross of Nipponbare)/Kasalath (indica)//Nippon Bare were analyzed genetically to detect quantitative trait loci controlling seed dormancy and the NIPPonbare alleles increased the germination rate.
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Identification of quantitative trait loci controlling heading date in rice using a high-density linkage map

TL;DR: Five QTLs explained 84% of the total phenotypic variation in the F2 population based on a multiple-QTL model and the presence of a digenic interaction between Hd-1 and Hd -2 was clearly suggested.
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Mapping of QTLs for phosphorus-deficiency tolerance in rice (Oryza sativa L.)

TL;DR: P-deficiency tolerance was mainly caused by differences in P uptake and not in P-use efficiency, and was concluded that this was not due to the tight linkage of two genes in repulsion but rather due to an indirect effect of P uptake on P- use efficiency.
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A Comprehensive Rice Transcript Map Containing 6591 Expressed Sequence Tag Sites

TL;DR: The establishment of a comprehensive YAC-based rice transcript map that contains 6591 EST sites and covers 80.8% of the rice genome is described and should become an important tool for comparative analysis of chromosome structure and evolution among the cereals.
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Fine mapping of quantitative trait loci Hd-1, Hd-2 and Hd-3, controlling heading date of rice, as single Mendelian factors

TL;DR: Results demonstrated that QTLs can be treated as Mendelian factors and were in good agreement with the regions estimated by QTL analysis of the initial F2 population, demonstrating the high reliability of QTL mapping using a high-density linkage map.