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Home > Archive>Volume 24, Issue 3, 2023 >671-679. DOI:10.13430/j.cnki.jpgr.20221010001
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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， Guangzhou 510640;2.Guangdong Key Laboratory for Crop Germplasm Resources Preservation and Utilization/Agro-biological Gene Research Center， Guangdong Academy of Agricultural Sciences， Guangzhou 510640;3.Institute of Agricultural Sciences in Ganzhou， Jiangxi Ganzhou 341000

Fund Project:

Foundation projects： The Guangdong Provincial Key Research and Development Program-Modern Seed Industry（2020B020219003，2022B0202060004）；China Agriculture Research System of MOF and MARA（CARS-13）；The Third National Survey and Collection Action on Crop Germplasm Resource（111821301354052029）；The Jiangxi Provincial Key Research and Development Program（20171BBF60036）；The Ganzhou Talent Introduction Project（2019BNY9702）

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    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.

    Reference
    [1] 周小静,任小平,黄莉,罗怀勇,陈玉宁,刘念,陈伟刚,廖伯寿,雷永,姜慧芳．花生种质资源研究进展与展望．植物遗传资源学报,2020,21(1):33-39Zhou X J,Ren X P,Huang L,Luo H Y,Chen Y N,Liu N,Chen W G,Liao B S,Lei Y,Jiang H F. Research progress and prospect for peanut germplasm resources. Journal of Plant Genetic Resources,2020,21(1):33-39
    [2] 刘冰,周长军,顾鑫,吴耀坤,于吉东,田中艳,李建英,马兰．黑龙江省西部地区大豆种质资源聚类分析及综合评价．黑龙江农业科学,2022(5):7-12Liu B,Zhou C J,Gu X,Wu Y K,Yu J D,Tian Z Y,Li J Y,Ma L. Cluster analysis and comprehensive evaluation of soybean germplasm resources in western of Heilongjiang province. Heilongjiang Agricultural Sciences,2022(5):7-12
    [3] 覃初贤,覃欣广,邢钇浩,温东强,望飞勇．广西荞麦种质资源主要农艺性状鉴定与评价．广东农业科学,2020,47(10):11-17Qin C X,Qin X G,Xing Y H,Wen D Q,Wang F Y. Identification and evaluation of main agronomic traits of buckwheat germplasm resources in Guangxi. Guangdong Agricultural Sciences,2020,47(10):11-17
    [4] 王秀秀,邢爱双,杨茹,何守朴,贾银华,潘兆娥,王立如,杜雄明,宋宪亮．陆地棉种质资源表型性状综合评价．中国农业科学,2022,55(6):1082-1094Wang X X,Xing A S,Yang R,He S P,Jia Y H,Pan Z E,Wang L R,Du X M,Song X L. Comprehensive evaluation of phenotypic characters of nature population in upland cotton. Scientia Agricultura Sinica,2022,55(6):1082-1094
    [5] 黎松松,许文静,张威,张红梅,刘晓庆,崔晓艳,朱月林,陈新,陈华涛．大豆种质资源主要农艺性状的评价与分析．江苏农业科学,2021,49(19):35-38Li S S,Xu W J,Zhang W,Zhang H M,Liu X Q,Cui X Y,Zhu Y L,Chen X,Chen H T. Evaluation and analysis of main agronomic traits of soybean germplasm resources. Jiangsu Agricultural Sciences,2021,49(19):35-38
    [6] 曾维英,赖振光,谭玉荣,陈怀珠,陈文杰,梁江,孙祖东．广西地方大豆种质资源的收集与评价鉴定筛选．大豆科学,2021,40(3):354-361Zeng W Y,Lai Z G,Tan Y R,Chen H Z,Chen W J,Liang J,Sun Z D. Collection,evaluation and screening of local soybean germplasm in Guangxi. Soybean Science,2021,40(3):354-361
    [7] 李小刚,杨小侠,王俊义,王保军,雷志锋,陈平丽,张星,吴玉红,王业文,陈耀楠,闫理峰．陕西水稻种质资源主要农艺性状鉴定与相关性分析．安徽农业科学,2022,50(2):30-33,51Li X G,Yang X X,Wang J Y,Wang B J,Lei Z F,Chen P L,Zhang X,Wu Y H,Wang Y W,Chen Y N,Yan L F. Identification and correlation analysis of main agronomic traits of rice germplasm resources in Shanxi. Journal of Anhui Agricultural Sciences,2022,50(2):30-33,51
    [8] 陈越,丁明亮,张敦宇,付坚,钟巧芳,肖素勤,柯学,程在全．云南水稻种质资源农艺性状表型多样性分析及综合评价．南方农业学报,2019,50(9):1922-1930Chen Y,Ding M L,Zhang D Y,Fu J,Zhong Q F,Xiao S Q,Ke X,Cheng Z Q. Phenotypic diversity analysis and comprehensive evaluation of agronomic characters of rice germplasm resources in Yunnan province. Journal of Southern Agriculture,2019,50(9):1922-1930
    [9] 沈升法,项超,吴列洪,李兵,罗志高．浙江省甘薯种质资源的品质鉴定与聚类分析．植物遗传资源学报,2021,22(1):247-259Shen S F,Xiang C,Wu L H,Li B,Luo Z G. Quantification and cluster analysis of quality-related traits in sweetpotato germplasm resources in Zhejiang province. Journal of Plant Genetic Resources,2021,22(1):247-259
    [10] 孙东雷,卞能飞,陈志德,邢兴华,徐泽俊,齐玉军,王幸,王晓军,王伟．花生种质资源表型性状的综合评价及指标筛选．植物遗传资源学报,2018,19(5):865-874Sun D L,Bian N F,Chen Z D,Xing X H,Xu Z J,Qi Y J,Wang X,Wang X J,Wang W. Comprehensive evaluation and index screening of phenotypic traits in peanut germplasm resources. Journal of Plant Genetic Resources,2018,19(5):865-874
    [11] 牟书靓,牛海龙,李伟堂,杨翔宇,王曙文,刘红欣,何中国．花生种质资源农艺性状主成分及聚类分析．辽宁农业科学,2019(6):1-5Mu S J,Niu H L,Li W T,Yang X Y,Wang S W,Liu H X,He Z G. Principal components and cluster analysis of the main agronomic characters of peanut germplasm in high latitude region. Liaoning Agricultural Sciences,2019(6):1-5
    [12] 黄杨,熊信果,邹小云,丁戈,谷德平．江西地方花生种质资源主要农艺性状分析与评价．植物遗传资源学报,2021,22(6):1550-1558Huang Y,Xiong X G,Zou X Y,Ding G,Gu D P. Analysis and evaluation of main agronomic traits of local peanut germplasms in Jiangxi province. Journal of Plant Genetic Resources,2021,22(6):1550-1558
    [13] 郭元元,周生茂,陈振东,蒋月喜,尚小红,张力,宋焕忠,车江旅,陈琴,蒋万．广西黄瓜地方品种鉴定评价及遗传多样性分析．南方农业学报,2018,49(7):1273-1281Guo Y Y,Zhou S M,Chen Z D,Jiang Y X,Shang X H,Zhang L,Song H Z,Che J L,Chen Q,Jiang W. Identification,evaluation and genetic diversity analysis of local cucumber varieties from Guangxi. Journal of Southern Agriculture,2018,49(7):1273-1281
    [14] 姜慧芳,段乃雄．花生种质资源描述规范和数据标准．北京:中国农业出版社,2006Jiang H F,Duan N X. Description specification and data standard of peanut germplasm resources. Beijing:China Agriculture Press,2006
    [15] 吕树伟,江立群,唐璇,张静,孙炳蕊,刘清,毛兴学,于航,吴柔贤,范芝兰,陈文丰,潘大建,李晨．广东省水稻种质资源系统收集与鉴定评价．植物遗传资源学报,2022,23(2):412-421Lyu S W,Jiang L Q,Tang X,Zhang J,Sun B R,Liu Q,Mao X X,Yu H,Wu R X,Fan Z L,Chen W F,Pan D J,Li C. Systematic field collection and identification and evaluation of rice germplasm resources in Guangdong province. Journal of Plant Genetic Resources,2022,23(2):412-421
    [16] 姚祝芳,吴柔贤,张雄坚,戴彰言,杨义伶,黄立飞,刘军,房伯平．广东甘薯种质资源系统收集与鉴定评价．植物遗传资源学报,2021,22(6):1498-1508Yao Z F,Wu R X,Zhang X J,Dai Z Y,Yang Y L,Huang L F,Liu J,Fang B P. Systematic field collection and identification of sweetpotato resources in Guangdong. Journal of Plant Genetic Resources,2021,22(6):1498-1508
    [17] 饶庆琳,姜敏,胡廷会,成良强,吕建伟,王军．花生种质资源品质性状的分析与评价．贵州农业科学,2021,49(11):16-22Rao Q L,Jiang M,Hu T H,Cheng L Q,Lyu J W,Wang J. Analysis and evaluation on quality traits of peanut germplasm resources. Guizhou Agricultural Sciences,2021,49(11):16-22
    [18] 陈婷婷,王苗苗,黄杨,曾瑞儿,王鑫悦,张雷．花生种质农艺、产量和品质性状的综合评价．花生学报,2020,49(4):38-46Chen T T,Wang M M,Huang Y,Zeng R E,Wang X Y,Zhang L. Evaluation on agronomic,yield and quality traits of peanut germplasm. Journal of Peanut Science,2020,49(4):38-46
    [19] 李少雄,洪彦彬,陈小平,梁炫强．广东花生生产、育种和种业现状与发展对策．广东农业科学,2020,47(11):78-83Li S X,Hong Y B,Chen X P,Liang X Q. Present situation and development strategies of peanut production,breeding and seed industry in Guangdong. Guangdong Agricultural Sciences,2020,47(11):78-83
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History
  • Received:October 10,2022
  • Revised:November 11,2022
  • Online: April 27,2023
  • Published: April 27,2023
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