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Identification and characterization of quantitative trait loci for grain yield and its components under different nitrogen fertilization levels in rice (Oryza sativa L.)

机译:不同氮肥水平下水稻产量及其成分数量性状位点的鉴定与表征

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摘要

A set of rice (Oryza sativa L.) recombinant inbred lines from a cross between Zhenshan 97 (indica) and HR5 (indica) was planted for four different growing seasons in two locations at three nitrogen (N) fertilization levels (N300, 300 kg urea/ha; N150, 150 kg urea/ha; and N0, 0 kg urea/ha). Grain yield and its components were evaluated, including grain yield per plant (GYPP), panicle number per plant (PNPP), grain number per panicle (GNPP), filled grains per panicle (FGPP), spikelet fertility percentage (SFP) and 100-grain weight (HGW). Correlation and path analysis indicated that SFP had the greatest contribution to GYPP at the N300 and N150 levels, but FGPP contributed the most to GYPP at the N0 level. Quantitative trait loci (QTL) were mapped based on a mixed linear model; genetic components (main effects, epistatic effects and QTL-by-environment interactions) were estimated separately. Six to 15 QTL with main effects were detected for each trait except SFP. Clusters of main-effect QTL associated with PNPP, GNPP, SFP and HGW were observed in regions on chromosomes 1, 2, 3, 5, 7 and 10. The main-effect QTL (qGYPP-4b and qGNPP-12) were only detected at the N0 level and explained 10.9 and 10.2% of the total phenotypic variation, respectively. A total of 33 digenic interactions among grain yield and its components were also identified. The identification of genomic regions associated with yield and its components at different nitrogen levels will be useful in marker-assisted selection for improving the nitrogen use efficiency of rice.
机译:在三个氮(N)施肥水平(N300,300 kg)下,在两个地方种植了一组来自振山97(indica)和HR5(indica)杂交的水稻(Oryza sativa L.)重组自交系。尿素/公顷; N150,150公斤尿素/公顷; N0,0公斤尿素/公顷)。评估了谷物产量及其组成部分,包括单株籽粒产量(GYPP),单株穗数(PNPP),每穗粒数(GNPP),每穗实粒(FGPP),小穗受精率(SFP)和100-谷物重量(HGW)。相关性和路径分析表明,SFP在N300和N150级别对GYPP的贡献最大,而FGPP在N0级别对GYPP的贡献最大。基于混合线性模型绘制了数量性状基因座(QTL)。遗传成分(主要影响,上位性影响和QTL与环境的相互作用)分别进行了估算。除SFP外,每个性状均检测到6至15个具有主要作用的QTL。在1、2、3、5、7和10号染色体上的区域中观察到了与PNPP,GNPP,SFP和HGW相关的主要效应QTL簇。仅检测到了主要效应QTL(qGYPP-4b和qGNPP-12)。在N0水平,分别解释了总表型变异的10.9%和10.2%。还确定了谷物产量及其组成部分之间共有33种双基因相互作用。在不同氮水平下鉴定与产量及其组成相关的基因组区域将有助于标记辅助选择,以提高水稻的氮利用效率。

著录项

  • 来源
    《Molecular Breeding》 |2011年第4期|p.495-509|共15页
  • 作者单位

    College of Plant Science and Technology, National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, 430070, Wuhan, China;

    Shanghai Agrobiological Gene Center, 210016, Shanghai, China;

    Shanghai Agrobiological Gene Center, 210016, Shanghai, China;

    Shanghai Agrobiological Gene Center, 210016, Shanghai, China;

    College of Plant Science and Technology, National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, 430070, Wuhan, China;

    Shanghai Agrobiological Gene Center, 210016, Shanghai, China;

    Shanghai Agrobiological Gene Center, 210016, Shanghai, China;

    Chinese National Center for Rice Improvement, National Key Laboratory of Rice Biology, China National Rice Research Institute, 310006, Hangzhou, China;

    College of Plant Science and Technology, National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, 430070, Wuhan,;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Rice; Recombinant inbred line; Nitrogen use efficiency; Grain yield; Correlation analysis; Path analysis; Quantitative trait locus;

    机译:水稻;重组自交系;氮素利用效率;粮食产量;相关分析;通径分析;数量性状位点;

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