NDLI: Improvement of Rice Biomass Yield through QTL-Based Selection

Content Provider	PubMed Central
Author	Matsubara, Kazuki Yamamoto, Eiji Kobayashi, Nobuya Ishii, Takuro Tanaka, Junichi Tsunematsu, Hiroshi Yoshinaga, Satoshi Matsumura, Osamu Yonemaru, Jun-ichi Mizobuchi, Ritsuko Yamamoto, Toshio Kato, Hiroshi Yano, Masahiro
Editor	Yadav, Rattan Singh
Copyright Year	2016
Abstract	Biomass yield of rice (Oryza sativa L.) is an important breeding target, yet it is not easy to improve because the trait is complex and phenotyping is laborious. Using progeny derived from a cross between two high-yielding Japanese cultivars, we evaluated whether quantitative trait locus (QTL)-based selection can improve biomass yield. As a measure of biomass yield, we used plant weight (aboveground parts only), which included grain weight and stem and leaf weight. We measured these and related traits in recombinant inbred lines. Phenotypic values for these traits showed a continuous distribution with transgressive segregation, suggesting that selection can affect plant weight in the progeny. Four significant QTLs were mapped for plant weight, three for grain weight, and five for stem and leaf weight (at α = 0.05); some of them overlapped. Multiple regression analysis showed that about 43% of the phenotypic variance of plant weight was significantly explained (P < 0.0001) by six of the QTLs. From F2 plants derived from the same parental cross as the recombinant inbred lines, we divergently selected lines that carried alleles with positive or negative additive effects at these QTLs, and performed successive selfing. In the resulting F6 lines and parents, plant weight significantly differed among the genotypes (at α = 0.05). These results demonstrate that QTL-based selection is effective in improving rice biomass yield.
Related Links	http://dx.doi.org/10.1371/journal.pone.0151830
Starting Page	151830
File Format	PDF
ISSN	19326203
e-ISSN	19326203
Journal	PLoS ONE
Issue Number	3
Volume Number	11
Language	English
Publisher	Public Library of Science
Publisher Date	2016-03-01
Access Restriction	Open
Rights Holder	Public Library of Science
Subject Keyword	Biochemistry, Genetics and Molecular Biology(all) Agricultural and Biological Sciences(all) Medicine(all) Research in Higher Education
Content Type	Text
Resource Type	Article
Subject	Multidisciplinary

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