QTL mapping of physiological traits at the booting stage in rice under low temperature combined with nitrogen fertilization

Shu Ming Yang, Fei Fei Zhang, Su Hua Zhang, Gui Yong Li, Li Qiong Zeng, Guan Suo Liu, Xiao Fen Yu and Xue Li Qiu
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Shu Ming Yang: Biotechnology and Genetic Resources Institute, Yunnan Academy of Agricultural Sciences, Kunming, Yunnan, P.R. China
Fei Fei Zhang: Biotechnology and Genetic Resources Institute, Yunnan Academy of Agricultural Sciences, Kunming, Yunnan, P.R. China
Su Hua Zhang: Biotechnology and Genetic Resources Institute, Yunnan Academy of Agricultural Sciences, Kunming, Yunnan, P.R. China
Gui Yong Li: Food Crops Research Institute, Yunnan Academy of Agricultural Sciences, Kunming, Yunnan, P.R. China
Li Qiong Zeng: Biotechnology and Genetic Resources Institute, Yunnan Academy of Agricultural Sciences, Kunming, Yunnan, P.R. China
Guan Suo Liu: Biotechnology and Genetic Resources Institute, Yunnan Academy of Agricultural Sciences, Kunming, Yunnan, P.R. China
Xiao Fen Yu: Institute of Agricultural Environment and Resources, Yunnan Academy of Agricultural Sciences, Kunming, Yunnan, P.R. China
Xue Li Qiu: Institute of Agricultural Environment and Resources, Yunnan Academy of Agricultural Sciences, Kunming, Yunnan, P.R. China

Czech Journal of Genetics and Plant Breeding, 2019, vol. 55, issue 4, 146-155

Abstract: Further dissection of physiological molecular mechanisms is indispensable to alleviate rice yield losses resulting from cold injury. By using 105 near-isogenic lines (NILs) derived from a backcross between cv. Lijiangxintuanheigu (LTH) and cv. Towada, we detected quantitative trait loci (QTLs) for physiological traits of the rice flag leaf, based on polymorphic simple sequence repeat (SSR) markers, inclusive composite interval mapping (ICIM), mixed composite interval mapping (MCIM) approaches and phenotypic value subjected to combine with cold-water stress and three nitrogen application rates. By using ICIM, a total of 34 QTLs with additive effects (A-QTLs) were identified on chromosomes 1, 3, 4, 5, 6, 7 and 10, and the phenotypic variation (R2) explained by each QTL ranged from 8.46 to 29.14%. By using MCIM, 20 A-QTLs and 14 pairs of QTLs with epistatic × environment interaction effects (Epistatic QTLs) were detected, the contribution of environment interaction (H2AE) was 0.87 to 7.36%, while the contribution rates of E-QTL were from 0.97 to 3.58%. Fourteen A-QTLs were detected by ICIM and MCIM, which may serve as a basis for fine-mapping and candidate gene studies, and providing strategies for the development of cold-tolerant rice cultivars and nitrogen application to alleviate chilling stress.

Keywords: antioxidant enzymes; cold stress; japonica rice (Oryza sativa L.); nitrogen; QTLs (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:caa:jnlcjg:v:55:y:2019:i:4:id:67-2018-cjgpb

DOI: 10.17221/67/2018-CJGPB

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