Quantitative Trait Locus Analysis for Rice Yield Traits under Two Nitrogen Levels

Yue Feng, Rong-rong Zhai, Ze-chuan Lin, Li-yong Cao, Xing-hua Wei, Shi-hua Cheng

doi:10.1016/S1672-6308(14)60288-2

Rice Science >

2015 , Vol. 22 >Issue 3: 108 - 115

DOI: https://doi.org/10.1016/S1672-6308(14)60288-2

Orginal Article

Quantitative Trait Locus Analysis for Rice Yield Traits under Two Nitrogen Levels

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¹Chinese National Center for Rice Improvement / State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou 310006, China
²Institute of Crop and Nuclear Technology Utilization, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China

Received date: 2014-10-27

Accepted date: 2015-01-13

Online published: 2015-03-27

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Abstract

A recombinant inbred line population derived from a super hybrid rice Xieyou 9308 (Xieqingzao B/Zhonghui 9308) and its genetic linkage map were used to detect quantitative trait loci (QTLs) for rice yield traits under the low and normal nitrogen (N) levels. A total of 52 QTLs for yield traits distributed in 27 regions on 9 chromosomes were detected, with each QTL explaining 4.93%-26.73% of the phenotypic variation. Eleven QTLs were simultaneously detected under the two levels, and 30 different QTLs were detected under the two N levels, thereby suggesting that the genetic bases controlling rice growth under the low and normal N levels were different. QTLs for number of panicles per plant, number of spikelets per panicle, number of filled grains per panicle, and grain density per panicle under the two N levels were detected in the RM135-RM168 interval on chromosome 3. QTLs for number of spikelets per panicle and number of filled grains per panicle under the two N levels, as well as number of panicles per plant and grain density per panicle, under the low N level, were detected in the RM5556-RM310 interval on chromosome 8. The above described QTLs shared similar regions with previously reported QTLs for rice N recycling.

Key words： nitrogen; quantitative trait locus; rice; yield trait

Cite this article

Yue Feng, Rong-rong Zhai, Ze-chuan Lin, Li-yong Cao, Xing-hua Wei, Shi-hua Cheng . Quantitative Trait Locus Analysis for Rice Yield Traits under Two Nitrogen Levels[J]. Rice Science, 2015 , 22(3) : 108 -115 . DOI: 10.1016/S1672-6308(14)60288-2

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