甘肃中部甜荞种质资源抗倒性评价及鉴定指标筛选
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1.定西市农业科学研究院;2.甘肃省定西市农业科学研究院;3.甘肃省农业科学院作物研究所;4.安定区凤翔镇政府;5.成都大学食品与生物工程学院

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成都大学农业农村部杂粮加工重点实验室/四川省杂粮产业化工程技术研究中心开放基金课题(2023CC002);国家燕麦荞麦产业技术体系(CARS-07-G-12);定西市重点技术攻关专项(DX2022BZ35)


Evaluation of Lodging Resistance and Selection of Identification Indexes of Common Buckwheat Germplasm Resources in Central Gansu
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Dingxi Academy of Agriculture Sciences

Fund Project:

Multigrain Processing Key Laboratory of Ministry of Agriculture and Rural Affairs of Chendu University (2023CC002); China Agriculture Research System (CARS-07-G-12); Important Technical Items of Dingxi City (DX2022BZ35)

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    摘要:

    倒伏是影响甘肃中部甜荞高产优质的重要因素。本研究以 76份国内外甜荞种质资源为试验材料,通过计算 23个与抗倒伏密切相关性状的遗传多样性,应用相关性分析、主成分分析、回归分析、聚类分析及逐步判别分析等方法,对甜荞种质资源抗倒性进行综合评价。76份甜荞种质材料的遗传多样性较高,不同性状的多样性指数分布范围为 2.349—4.331,其中,主茎第二节间长最大,主茎分枝数最小。相关性分析表明,23个性状之间存在着不同程度的相关性。主成分分析结果表明,前 5个主成分能够代表76份甜荞种质 23 个性状81.421% 的信息量。利用隶属函数法计算获得甜荞种质资源抗倒性综合得分值(D 值)平均为 0.469,云甜荞1号D值最低(0.200),TQ10-07 D值最高(0.819)。通过构建逐步回归分析,筛选出株高、茎秆重心高度、主茎第一节间长及壁厚、主茎第二节间长、主茎分枝数、弯曲度和茎秆抗折力 等8 个性状,可作为甜荞种质资源抗倒性的综合评价指标。聚类分析将76份供试材料分为 4 个类群。逐步判别分析结果表明,76 份材料中有5 份被误判,误判率仅为 6.58%,说明聚类分析结果是准确、可靠的。类群Ⅰ的 3 份材料 D 值最高,抗倒伏能力最强,可作为种质创新及抗倒育种的亲本材料。本研究表明采用多元化统计分析方法对甜荞种质资源抗倒性进行综合评价是可行的,从而为甘肃中部地区甜荞种质创新和抗倒伏育种提供依据和借鉴。

    Abstract:

    Lodging is the main problem affecting the common buckwheat production and quality in central Gansu. In this study, 76 common buckwheat germplasm resources from domestic and abroad were used as the test materials. Genetic diversity of 23 phenotypic traits associating to lodging resistance was calculated based on the Shannon-Wiener information diversity index. The lodging resistance of common buckwheat germplasms were comprehensively evaluated using the correlation analysis, principal component analysis, regression analysis,cluster analysis and stepwise discriminate analysis. 76 common buckwheat germplasm materials exhibited high genetic diversity. The diversity index distribution of different traits ranged from 2.349 to 4.331, with the diversity index of number of main stem branches being the smallest and that of the second inter-node length being the largest. The results of the correlation analysis showed that 23 characters existed in varying degrees of correlation. The results of the principal component analysis showed that the first five principal components explained 81.421% of information quantity of 23 phenotypic traits. D value of common buckwheat germplasm materials was calculated using the membership function method. The average D value was found to be 0.469, with Yuntianqiao 1 having the lowest D value (0.200) and TQ10-07 having the highest D value (0.819). Through stepwise regression, a regression equation was established with 8 traits (plant height, stem height of center gravity, the first inter-node length and wall thickness, the second inter-node length, number of main stem branches, bending degree and stem resistance) as independent variables. The equation could be used for a comprehensive evaluation of the Lodging Resistance of common buckwheat germplasm materials. Based on D value clustering, 76 materials were divided into four groups. The result of stepwise discriminant analysis showed that 5 germplasm materials were incorrectly discriminated and the identification rate was only 6.58%,which means that the result of cluster analysis is accurate and reliable. 3 materials in classⅠexhibited high lodging resistance and high D value, which could be used as parent materials for material innovation and breeding. This study shows that using multivariate statistical analysis is a feasible approach to comprehensively evaluate lodging resistance of common buckwheat germplasm, which become valuable in selection of elite germplasm resources in breeding for the lodging resistance hybrids in central Gansu.

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  • 收稿日期:2024-03-14
  • 最后修改日期:2024-04-21
  • 录用日期:2024-08-23
  • 在线发布日期: 2024-08-23
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