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

Author

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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
    Key Laboratory of the Southwestern Crop Gene Resources and Germplasm Innovation, Ministry of Agriculture, Kunming, Yunnan, P.R. China
    Agricultural Biotechnology Key Laboratory of Yunnan Province, Kunming, Yunnan, P.R. China)

  • Su Hua Zhang

    (Biotechnology and Genetic Resources Institute, Yunnan Academy of Agricultural Sciences, Kunming, Yunnan, P.R. China
    Key Laboratory of the Southwestern Crop Gene Resources and Germplasm Innovation, Ministry of Agriculture, Kunming, Yunnan, P.R. China
    Agricultural Biotechnology Key Laboratory of Yunnan Province, 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)

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.

Suggested Citation

  • Shu Ming Yang & Fei Fei Zhang & Su Hua Zhang & Gui Yong Li & Li Qiong Zeng & Guan Suo Liu & Xiao Fen Yu & Xue Li Qiu, 2019. "QTL mapping of physiological traits at the booting stage in rice under low temperature combined with nitrogen fertilization," Czech Journal of Genetics and Plant Breeding, Czech Academy of Agricultural Sciences, vol. 55(4), pages 146-155.
    • Handle: RePEc:caa:jnlcjg:v:55:y:2019:i:4:id:67-2018-cjgpb
    DOI: 10.17221/67/2018-CJGPB
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    1. Shu Ming YANG & Su Hua ZHANG & Tao YANG & Li WANG, 2018. "Detection of QTLs for cold tolerance at the booting stage in near-isogenic lines derived from rice landrace Lijiangxintuanheigu," Czech Journal of Genetics and Plant Breeding, Czech Academy of Agricultural Sciences, vol. 54(3), pages 93-100.
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