中国农业科学 ›› 2022, Vol. 55 ›› Issue (1): 1-11.doi: 10.3864/j.issn.0578-1752.2022.01.001

• 作物遗传育种·种质资源·分子遗传学 • 上一篇    下一篇

高低氮处理下小麦旗叶性状的遗传分析

武亚瑞1(),刘锡建1,杨国敏2,刘红伟1,孔文超1,吴永振1,孙晗1,秦冉1,崔法1(),赵春华1()   

  1. 1鲁东大学农学院,山东烟台 264025
    2菏泽市土壤肥料工作站,山东菏泽 274000
  • 收稿日期:2021-06-07 接受日期:2021-08-16 出版日期:2022-01-01 发布日期:2022-01-07
  • 通讯作者: 崔法,赵春华
  • 作者简介:武亚瑞,E-mail: 1684813375@qq.com
  • 基金资助:
    山东省农业良种工程(2019LZGC016);山东省自然科学基金重大基础研究(ZR2019ZD16);山东省高等学校青创科技计划(2019KJF002);烟台市新旧动能研究院(2019XJDN007)

Genetic Analysis of Flag Leaf Traits in Wheat Under High and Low Nitrogen

WU YaRui1(),LIU XiJian1,YANG GuoMin2,LIU HongWei1,KONG WenChao1,WU YongZhen1,SUN Han1,QIN Ran1,CUI Fa1(),ZHAO ChunHua1()   

  1. 1College of Agriculture, Ludong University, Yantai 264025, Shandong
    2Soil and Fertilizer Workstation in Heze City, Heze 274000, Shandong
  • Received:2021-06-07 Accepted:2021-08-16 Online:2022-01-01 Published:2022-01-07
  • Contact: Fa CUI,ChunHua ZHAO

摘要:

【目的】旗叶是小麦光合碳固定的重要场所,对小麦产量起十分重要的作用。研究小麦旗叶在高、低氮环境下的遗传特性,分析其遗传机制,为优异株型育种、高产育种提供参考依据。【方法】以科农9204和京411为亲本所构建的188个RIL群体为材料,分别种植在6个不同的高、低氮环境下,通过对群体旗叶性状调查并进行遗传分析,从而确定控制各性状的基因数目,估计遗传效应值及遗传率,并对小麦旗叶性状与产量之间的关系进行分析。【结果】在遗传估测中,低氮环境下:旗叶长在E3环境的最适遗传模型为2MG-CE,即2对互补作用主基因遗传模型,其加性×加性上位性互作效应值为1.098,主基因遗传率为31.35%,在其他低氮环境下均表现为多基因遗传;旗叶宽均表现为多基因遗传;旗叶面积(除E5)的最适遗传模型均为2MG-CE,加性×加性上位性互作效应值为1.884,主基因遗传率为36.7%,在E5为多基因遗传。高氮环境下:旗叶长(除E4)的最适遗传模型为2MG-CE,加性×加性上位性互作效应值为1.133,主基因遗传率为32.6%,在E4环境的最适遗传模型为2MG-ER,即2对隐性上位主基因遗传模型,其第一对主基因的加性效应值为1.431,第二对主基因的加性效应值为1.108,主基因遗传率为51.77%;旗叶宽(除E2)的最适遗传模型为2MG-CE,加性×加性上位性互作效应值为0.119,主基因遗传率为37.29%,在E2表现为多基因遗传;旗叶面积的最适遗传模型为2MG-CE,加性×加性上位性互作效应值为3.067,主基因遗传率为44.42%。旗叶性状在不同环境的遗传模型不同,在高氮环境下遗传较为稳定,在低氮下受环境影响较大。在旗叶与产量性状的相关性分析中,旗叶性状与穗粒数、穗粒重、单株产量之间呈显著正相关,且在不同环境下的影响程度不同。【结论】旗叶性状易受外界环境影响,在高、低氮环境下的表现不同。旗叶在低氮环境下表现为不同的主基因遗传和多基因遗传;在高氮环境下大多表现为主基因遗传,由2对基因控制,并且存在基因之间的相互作用,且可能存在效应较大的主效QTL。改善旗叶性状可以提高小麦的单株产量、穗粒重等产量性状。

关键词: 小麦, 旗叶性状, 遗传模型, 产量, 相关分析

Abstract:

【Objective】 Flag leaf is an important place for wheat photosynthetic carbon fixation, which plays an important role in wheat yield. The genetic characteristics and the genetic mechanism were analyzed under high and low nitrogen for flag leaf traits of wheat, which will provide a reference for excellent plant-type breeding and high-yield breeding. 【Method】 188 recombinant inbred line (RIL) populations derived from a cross between Kenong9204 and Jing411 was used in this study, which were planted in low nitrogen (LN) and high nitrogen (HN), respectively. The flag leaf traits of 188 RILs were investigated in 6 different environments, then the genetic analysis was conducted to determine the number of genes controlling each trait, and to estimate the genetic effect value and the heritability. In addition, the relationship between flag leaf characters and yield related traits of wheat was also studied.【Result】 Under LN environment: The optimal genetic model of flag leaf length was 2MG-CE (two pairs of interaction major genes) in E3. The additive × additive epistatic interaction value was 1.098, and the heritability of major genes was 31.35%. The flag leaf length was polygenic in another LN environment. The width of flag leaf was polygenic in all the LN environment. The optimal genetic model for flag leaf area (except E5) was 2MG-CE. The additive × additive epistatic interaction value was 1.884 and the heritability of major genes was 36.7%, while it was polygenic inheritance in E5. Under HN environment: The optimal genetic model for flag leaf length (except E4) was 2MG-CE, the additive × additive epistatic interaction value was 1.133, and the heritability of major genes was 32.6%. The optimal genetic model was 2MG-ER (two pairs of recessive epistatic major genes) in E4, which the additive effect value was 1.431 and 1.108 for the first and the second major genes respectively, and the heritability of the major gene was 51.77%. The optimal genetic model for flag leaf width (except E2) was 2MG-CE, the additive × additive epistatic interaction value was 0.119, and the heritability of major genes was 37.29%, while it showed polygenic inheritance in E2. The optimal genetic model for flag leaf area was 2MG-CE, which the additive × additive epistatic interaction value was 3.067 and the heritability of the main gene was 44.42%. The genetic models of flag leaf traits were different in different environments, which the genetic model was more stable under HN than that in LN. The correlation analysis of flag leaf and yield traits showed that flag leaf traits were significantly positively correlated with grain number per spike, grain weight per spike and yield per plant, and the influence degree was different in the 6 environments. 【Conclusion】 Flag leaf traits are easily affected by environment, and the performance of flag leaf traits is different in HN and LN. Flag leaf traits exhibited different major gene inheritance and polygene inheritance in LN, while they showed major gene inheritance which controlled by two pairs of interactions genes in most of HN environment, which might be major QTLs. Yield per plant and grain weight per spike could be increased by improving flag leaf traits.

Key words: wheat, flag leaf traits, genetic model, production, correlation analysis