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<p>Rice is vital staple component in the diet of significant portion of global human population. To combat food security and poverty reduction there is pressing need to improve the rice production. By using 212 back-cross inbred lines (BILs) derived from a cross between two parental varieties, L4001 and BING4114, the inclusive composite interval mapping technique was employed to identify major-effect, stable quantitative trait loci (QTLs) associated with twelve grain yield attributing characteristics in rice. The BILs were genotyped with InDel and SSR markers, which were evenly distributed across the rice genome in three different agro-climates. A sum of fifty-five QTLs were identified through combined QTL analysis, form which twenty-one were major-effect effect QTLs explaining approximately 31.08% of phenotypic variance for the related trait. Furthermore, another five major-effect and stable QTLs i.e., <i>qFLL4.1</i>, <i>qGW8.1</i>, <i>qGYPP11.1</i>, <i>qPH11.1</i>, and <i>qTGW4.1</i> which were detected under two environments with phenotypic variance of &gt; 20%. All the identified major and stable QTLs as well as their regional clusters, can be used to develop germplasm with improved rice grain production. Moreover, the robust and stable QTLs can be a valuable source of information for breeding initiatives that seek to enhance yield-contributing traits.</p>

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Exploring environmentally stable and novel genetic factors influencing rice grain shape and yield attributes

  • 期刊论文

  • 发表日期：

    2025年1月28日

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  • Sadia Gull,
  • Zulqarnain Haider,
  • Houwen Gu,
  • Saleem Uddin,
  • Muhammad Qasim,
  • Rana Ahsan Raza Khan,
  • Adil Altaf,
  • Sajid Fiaz,
  • Mona S. Alwahibi,
  • Mohamed S. Elshikh,
  • Rashid Iqbal,
  • Jun Miao,
  • Guohua Liang

摘要

Rice is vital staple component in the diet of significant portion of global human population. To combat food security and poverty reduction there is pressing need to improve the rice production. By using 212 back-cross inbred lines (BILs) derived from a cross between two parental varieties, L4001 and BING4114, the inclusive composite interval mapping technique was employed to identify major-effect, stable quantitative trait loci (QTLs) associated with twelve grain yield attributing characteristics in rice. The BILs were genotyped with InDel and SSR markers, which were evenly distributed across the rice genome in three different agro-climates. A sum of fifty-five QTLs were identified through combined QTL analysis, form which twenty-one were major-effect effect QTLs explaining approximately 31.08% of phenotypic variance for the related trait. Furthermore, another five major-effect and stable QTLs i.e., qFLL4.1, qGW8.1, qGYPP11.1, qPH11.1, and qTGW4.1 which were detected under two environments with phenotypic variance of > 20%. All the identified major and stable QTLs as well as their regional clusters, can be used to develop germplasm with improved rice grain production. Moreover, the robust and stable QTLs can be a valuable source of information for breeding initiatives that seek to enhance yield-contributing traits.