广东省花生种质资源收集与鉴定评价
作者:
作者单位:

1.广东省农业科学院作物研究所/国家油料作物改良中心南方分中心 / 广东省农作物遗传改良重点实验室;2.广东省农作物种质资源保存与利用重点实验室 / 广东省农业科学院农业生物基因研究中心;3.赣州市农业科学研究所

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基金项目:

广东省重点研发计划现代种业项目(2020B020219003,2022B0202060004);国家花生产业技术体系岗位专家(CARS-13);第三次全国农作物种质资源普查与收集行动(111821301354052029);高油酸花生种质资源创制与应用(20171BBF60036);赣州市柔性引才项目《高油酸花生新品种选育与示范推广》


Systematic Collection, Identification and Evaluation of Peanut Germplasm Resources in Guangdong Province
Author:
Affiliation:

1.Crops Research Institute of Guangdong Academy of Agricultural Sciences/South China Peanut Sub-Center of National Center of Oilseed Crops Improvement/Guangdong Provincial Key Laboratory of Crop Genetic Improvement;2.Guangdong Key Laboratory for Crop Germplasm Resources Preservation and Utilization/Agro-biological Gene Research Center, Guangdong Academy of Agricultural Sciences;3.Institute of Agricultural Sciences in Ganzhou, Jiangxi Ganzhou

Fund Project:

The Guangdong Provincial Key Research and Development Program-Modern Seed Industry(2020B020219003,2022B0202060004),The China Agriculture Research System of MOF and MARA(CARS-13),The Third National Survey and Collection Action on Crop Germplasm Resource(111821301354052029),The Creation and Application of High Oleic Acid Peanut Germplasm Resources(20171BBF60036),The Ganzhou Talent Introduction Project “Breeding and Demonstration of New Peanut Varieties With High Oleic Acid”

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    摘要:

    配合“第三次全国农作物种质资源普查与收集行动”,本单位共收集到110份广东地方花生种质资源。通过多样性分析、相关性分析、主成分分析和聚类分析对花生资源的14个表型性状进行综合鉴定评价。结果表明,14个表型性状的变异系数介于5.18%~37.34%之间,农艺性状和产量性状的变异系数大于品质性状,其中单株荚果数的变异系数最大,粗脂肪含量的变异系数最小。相关性分析表明单株荚果数与主茎高呈显著负相关,与总分枝数呈极显著正相关。主成分分析将14个表型性状归为6个主成分,累计贡献率为71.074%,能够表征大部分表型变异。聚类分析在欧式距离为15时将110份花生种质分成4个类群,分别具有高粗脂肪含量、高亚油酸含量、高产、高抗锈病和叶斑病等特性。本研究为新收集花生资源的利用提供了参考。

    Abstract:

    Coordinating with the Third National Survey and Collection Action on Crop Germplasm Resources, we collected 110 peanut landraces in Guangdong province, P.R. China. Fourteen phenotypic traits in the collection were recorded, followed by diversity analysis, correlation analysis, principal component analysis and cluster analysis. The results showed that the coefficient of variation at 14 phenotypic traits ranged from 5.18% (crude fat content) to 37.34% (pod number per plant). By correlation analysis, the pod number per plant was significantly negatively correlated with main stem height, and extremely significantly positively correlated with branch number. Fourteen phenotypic traits were classified into six principal components by principal component analysis, with a cumulative contribution rate of 71.074%, which can represent a large proportion of the phenotypic variation. 110 peanut landraces were divided into four groups by cluster analysis when applying the euclidean distance of 15, which had the characteristics of high crude fat, high linoleic acid, high yield, high resistance to rust and leaf spot respectively. This study provides a reference for the utilization of newly collected peanut germplasm resources.

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历史
  • 收稿日期:2022-10-10
  • 最后修改日期:2022-11-11
  • 录用日期:2022-12-26
  • 在线发布日期: 2023-01-01
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