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中国农学通报 ›› 2026, Vol. 42 ›› Issue (10): 68-78.doi: 10.11924/j.issn.1000-6850.casb2025-0943

• 资源·环境·生态·土壤·气象 • 上一篇    下一篇

黄淮麦区40份彩色小麦种质资源表型变异分析及综合评价

刘晓丹1(), 周思远2, 赵石磊1, 望俊森3, 高阳1, 赵离飞1, 赵双锁1()   

  1. 1 三门峡市农业科学研究院, 河南三门峡 472000
    2 新乡市农业科学院, 河南新乡 453000
    3 漯河市农业科学院, 河南漯河 462000
  • 收稿日期:2025-11-25 修回日期:2026-02-11 出版日期:2026-05-25 发布日期:2026-05-27
  • 通讯作者:
    赵双锁,男,1972年出生,河南渑池人,正高级农艺师,学士,主要从事小麦遗传育种与栽培技术推广。通信地址:472000 三门峡市湖滨区黄河西路1号 三门峡市农业农村局,E-mail:
  • 作者简介:

    刘晓丹,女,1993年出生,河南卫辉人,助理农艺师,硕士,主要从事小麦遗传育种与栽培技术研究。通信地址:472000 三门峡市湖滨区黄河西路1号 三门峡市农业农村局,E-mail:

  • 基金资助:
    河南省科技攻关项目“彩色小麦农艺性状与粒色遗传研究及环境因素对粒色形成的影响”(242102110297); 河南省科技攻关项目“彩色小麦主效基因的挖掘与新品种选育”(252102110281)

Phenotypic Variation Analysis and Comprehensive Evaluation of 40 Colored Wheat Germplasm Resources in Huang-huai Wheat Region

LIU Xiaodan1(), ZHOU Siyuan2, ZHAO Shilei1, WANG Junsen3, GAO Yang1, ZHAO Lifei1, ZHAO Shuangsuo1()   

  1. 1 Sanmenxia Academy of Agricultural Science, Sanmenxia, Henan 472000
    2 Xinxiang Academy of Agricultural Science, Xinxiang, Henan 453000
    3 Luohe Academy of Agricultural Science, Luohe, Henan 462000
  • Received:2025-11-25 Revised:2026-02-11 Published:2026-05-25 Online:2026-05-27

摘要:

当前彩色小麦育种存在种质评价不系统、农艺性状协调机制不清、优异亲本筛选缺乏量化依据等问题。为明确黄淮麦区彩色小麦种质资源的表型变异规律、性状关联特征及综合表现,提高育种亲本选配效率,以40份彩色小麦种质和1份普通小麦种质‘周麦18’(CK)为材料,在成株期调查株高、穗长、旗叶性状、小穗数等9个农艺性状,开展遗传变异、相关性、主成分与聚类分析及综合评价。结果表明,40份彩色小麦种质资源变异丰富且特点明确,9个农艺性状变异系数为10.750%~120.147%,遗传多样性指数为1.083~2.057,77.78%以上的农艺性状的变异系数大于15%,遗传多样性指数大于1.8;彩色小麦整体表现出旗叶长、旗叶夹角大、可育小穗多、穗下节与穗下茎较短的特征。相关性分析显示,可育小穗数与多数性状显著相关,其中,与穗长(r=0.50)、旗叶宽(r=0.53)呈显著正相关,而穗长与株高(r=0.33)、旗叶长(r=0.58)呈显著或极显著正相关,株高与旗叶宽(r=-0.47)呈极显著负相关。主成分分析将9个性状简化为3个主成分,可解释75.412%的性状信息,株高、穗长和旗叶夹角为核心指标。综合评价值(D值)越大,品种综合表现越好。对供试材料进行综合评价,筛选出D值大于DCK(0.523)的13个彩色小麦种质资源,其中‘科大黑1号’‘灵绿麦1号’‘周黑麦1号’‘灵黑麦2号’株高较矮,株高分别为66.67、85.50、82.50、80.88 cm,可作为候选亲本。在遗传距离为5.78时可将41个供试材料分为5类,其中第III类群种质资源最多,第V类群种质资源较多且D值均值(0.638)较大。综上,40份彩色小麦形态学农艺性状变异丰富、特点明确,在进行品种选育时应注意株高、穗长、旗叶长、旗叶宽与可育小穗数的协调关系,聚类分析进一步明确了不同类群的种质资源的特点,筛选出了4个D值较大且株高较矮的候选亲本,为彩色小麦品种高产、抗倒、理想株型选育或改良、农艺性状的利用及亲本选择提供材料与理论支撑,后续可结合产量与品质性状开展多维度精准评价。

关键词: 彩色小麦, 种质资源, 农艺性状, 表型变异, 相关性分析, 主成分分析, 聚类分析, 综合评价

Abstract:

At present, there are some problems in color wheat breeding, such as unsystematic germplasm evaluation, unclear coordination mechanism of agronomic traits, and lack of quantitative basis for screening excellent parents. In order to clarify the phenotypic variation, trait association characteristics and comprehensive performance of colored wheat germplasm resources in Huang-huai wheat area, and improve the selection efficiency of breeding parents, 40 colored wheat germplasms and 1 common wheat germplasm control (ZM18) were used as materials in this study. Nine agronomic traits such as plant height, spike length, flag leaf traits and spikelet number were investigated at mature plant stage, and genetic variation, comprehensive evaluation including principal component and cluster analysis were carried out. The results showed that the 40 colored wheat germplasm resources had abundant variation and specific characteristics. The variation coefficient of nine agronomic traits ranged from 10.750% to 120.147%, and the diversity index ranged from 1.083 to 2.057. More than 77.78% of agronomic traits had variation coefficients greater than 15%, and diversity indices greater than 1.8. The overall performance of colored wheat is characterized by long flag leaf, large flag leaf angle, many fertile spikelets, and short peduncle and exposed peduncle. Correlation analysis indicates that the number of fertile spikelets is significantly correlated with most traits. Among them, it was significantly positively correlated with ear length (r=0.50) and flag leaf width (r=0.53), while ear length was significantly or highly significantly positively correlated with plant height (r=0.33) and flag leaf length (r=0.58), and plant height was highly significantly negatively correlated with flag leaf width (r=-0.47). Principal component analysis simplified the nine traits into three principal components, which could explain 75.412% of the trait information. Plant height, ear length, and flag leaf angle were the core indicators. The comprehensive evaluation value (D value) was used to assess the overall performance of each germplasm, with a higher D value indicating better overall performance. Thirteen colored wheat germplasm resources with D values greater than DCK (0.523) were screened out, among which KDH1, LLM1, ZHM1, and LHM1 had relatively short plant heights at 66.67, 85.50, 82.50, and 80.88 cm, respectively, which could be used as candidate parents. When the genetic distance was 5.78, the 41 test materials can be divided into five major categories, with Group III having the most germplasm resources, and Group V having more germplasm resources and a larger mean D value (0.638). In summary, the agronomic traits of 40 colored wheat germplasm resources had rich variations and clear characteristics. When breeding new varieties, attention should be paid to the coordinated relationship among plant height, ear length, flag leaf length, flag leaf width, and number of fertile spikelets. Cluster analysis further clarified the characteristics of germplasm resources in different groups. Four candidate parents with larger D values and shorter plant heights were screened out. This provides a reference for high yield, lodging resistance, ideal plant type breeding or improvement, the utilization of agronomic traits, and the selection of parents of colored wheat varieties. Subsequent multi-dimensional accurate evaluation can be carried out in combination with yield and quality traits.

Key words: colored wheat, germplasm resources, agronomic traits, phenotypic variation analysis, correlation analysis, principal component analysis, cluster analysis, comprehensive evaluation

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