Fine mapping of a quantitative trait locus for spikelet number per panicle in a new plant type rice and evaluation of a near-isogenic line for grain productivity-Reference-Cited by-同舟云学术

Fine mapping of a quantitative trait locus for spikelet number per panicle in a new plant type rice and evaluation of a near-isogenic line for grain productivity

Published:2017-05-17 Issue:11 Volume:68 Page:2693-2702
ISSN:0022-0957
Container-title:Journal of Experimental Botany
language:en
Short-container-title:

Author:

Sasaki Kazuhiro¹²³,Fujita Daisuke¹²⁴,Koide Yohei¹²⁵,Lumanglas Patrick D²,Gannaban Ritchel B²,Tagle Analiza G²,Obara Mitsuhiro¹,Fukuta Yoshimichi¹,Kobayashi Nobuya¹²⁶,Ishimaru Tsutomu¹²⁷

Affiliation:

1. Japan International Research Center for Agricultural Sciences (JIRCAS), Ohwashi, Tsukuba, Ibaraki, Japan

2. International Rice Research Institute (IRRI), DA, Metro Manila, Philippines

3. Graduate School of Agricultural and Life Sciences, Institute of Sustainable Agro-ecosystem Services (ISAS), The University of Tokyo, Midoricho, Nishitokyo, Tokyo, Japan

4. Faculty of Agriculture, Saga University, Honjo-machi, Saga, Japan

5. Research Faculty of Agriculture, Hokkaido University, Kita-9 Nishi-9, Kita-ku, Sapporo, Japan

6. National Institute of Crop Science (NICS), NARO, Kannondai, Tsukuba, Ibaraki, Japan

7. Central Region Agricultural Research Center (CARC), National Agriculture and Food Research Organization (NARO), Inada, Joetsu, Niigata, Japan

Publisher

Oxford University Press (OUP)

Subject

Plant Science,Physiology

Link

http://academic.oup.com/jxb/article-pdf/68/11/2693/25199466/erx128.pdf

Reference32 articles.

1. Genetic dissection and pyramiding of quantitative traits for panicle architecture by using chromosomal segment substitution lines in rice;Ando;Theoretical and Applied Genetics,2008

2. Yield-related QTLs and their applications in rice genetic improvement;Bai;Journal of Integrative Plant Biology,2012

3. Development of introgression lines of an Indica rice variety, IR64, for unique agronomic traits and detection of the responsible chromosomal regions;Fujita;Field Crops Research,2009

4. Characterization of introgression lines for yield-related traits with indica rice variety IR64 genetic background;Fujita;Japan Agricultural Research Quarterly,2010

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