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不同苦荞种质资源耐荫性评价及鉴定指标的筛选

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为建立耐荫性评价模型以筛选苦荞耐荫种质资源,以60份苦荞种质资源为材料,采用田间试验,设置遮荫和自然光两种处理,测定株高等9个形态结构指标和超氧化物歧化酶(SOD)活性等6个生理指标,计算各指标的耐荫系数。采用多元统计分析方法对苦荞耐荫性进行综合评价及耐荫指标的筛选。结果表明,15个指标的耐荫系数存在不同程度的变异,变异系数范围为7。87%~85。84%,除丙二醛(MDA)含量、过氧化物酶(POD)和过氧化氢酶(CAT)活性外,其他各单项指标间均存在一定的相关性。通过主成分分析,从15个指标的耐荫系数中提取了 5个主成分,其累计方差贡献率达69。307%。利用隶属函数分析法计算60份苦荞种质资源的综合评价值(D),并在此基础上采用聚类分析将种质资源分为耐荫型、中度耐荫型和敏感型3类。进一步利用逐步回归分析建立最优线性回归方程D=-0。176+0。115X1+0。313X5+0。140X6+0。057X7+0。176X10-0。015X13,筛选出株高、主茎粗第五节、主茎粗第八节、单株粒数、始花期叶绿素相对含量(SPAD)、POD活性共6个耐荫性鉴定指标。本研究结果为苦荞耐荫抗倒伏种质资源鉴定及新品种选育提供了参考依据。
Evaluation of Different Tartary Buckwheat Germplasm Resources for Shade Tolerance and Screening of Identification Indexes
In order to screen Tartary buckwheat germplasm resources for shade tolerance and establish a model for evaluating this trait,60 Tartary buckwheat germplasm resources were used as materials.Field experiments were conducted under two treatments:shaded and natural light.Nine morphological structure indicators such as plant height,and six physiological indicators such as superoxide dismutase(SOD)activity,were measured.The shade tolerance coefficient for each indicator was calculated.Multivariate statistical analysis methods were used to comprehensively assess the shade tolerance of Tartary buckwheat and to identify key indicators of shade tolerance.The results indicated varying degrees of variation in the shade tolerance coefficients among the 15 indicators,with variation coefficients ranging from 7.87%to 85.84%.With the exception of malondialdehyde(MDA)content,peroxidase(POD)activity,and catalase(CAT)activity,a certain correlation was observed among the other individual indicators.Principal component analysis was used to extract five principal components from the shade tolerance coefficients of the 15 indicators,resulting in a cumulative variance contribution rate of 69.31%.The comprehensive evaluation value(D)for the 60 Tartary buckwheat germplasm resources was calculated using the membership function analysis method.Subsequently,cluster analysis categorized the germplasm resources into three categories:shade-tolerant,moderately shade-tolerant,and shade-sensitive.Further,stepwise regression analysis was used to establish the optimal linear regression equation:D=-0.176+0.115X1+0.313X5+0.140X6+0.057X7+0.176X10-0.015X13.Six indicators such as plant height,fifth internode thickness of the main stem,eighth internode thickness of the main stem,number of seeds per plant,relative chlorophyll content at the beginning of flowering(SPAD),and POD activity were selected as indicators for assessiing shade tolerance.The results of this study provide a reference for the identification of Tartary buckwheat germplasm resources with shade tolerance and for the breeding of new varieties.

Tartary buckwheatshade tolerance evaluationprincipal component analysiscluster analysisstepwise regression analysis

张鲜、赵少迪、胡传伟、吴晓梅、王秋宝、刘月贤、田洪岭、张丽君

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山西农业大学农业基因资源研究中心,山西太原 030031

山西农业大学农学院,山西晋中 030801

山西农业大学经济作物研究所,山西太原 030031

闻喜农业农村局,山西闻喜 043800

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苦荞 耐荫性评价 主成分分析 聚类分析 逐步回归分析

2025

核农学报
中国原子能农学会 中国农业科学院农产品加工研究所(前中国农业科学院原子能利用研究所)

核农学报

北大核心
影响因子:1.5
ISSN:1000-8551
年,卷(期):2025.39(2)