基于BLUP和GGE双标图的花生产量基因型与环境互作效应分析  

Analysis of the Interaction Effect between Peanut Yield Genotypes and Environment Based on BLUP and GGE Biplot

作　　者：邓丽 任丽 郭敏杰 苗建利 芦振华 殷君华 王培云 DENG Li;REN Li;GUO Minjie;MIAO Jianli;LU Zhenhua;YIN Junhua;WANG Peiyun(Kaifeng Academy of Agriculture and Forestry,Kaifeng He'nan 475000,China)

机构地区：[1]开封市农林科学研究院,河南开封475000

出　　处：《种子》2024年第7期91-96,共6页Seed

基　　金：河南省重大科技专项(221100110300);国家花生产业技术体系(CAR-13);开封市重点研发专项(22ZDYF008)。

摘　　要：本研究采用最佳线性无偏预测值(BLUP)和基因型主效加基因型-环境互作效应(GGE)双标图的评价方法,对黄淮海中南片多点联合试验的小粒花生品种的丰产稳产适应性及试验点的区分力和代表性进行分析,探究基因型和环境对花生生长的影响,明确各品种的丰产稳产性及适应性。对BLUP值和原始数据进行方差分析和热图对比,结果表明,两组数据之间有较多差异,对于产量变异的解释,BLUP值比原始数据更加可靠。BLUP-GGE双标图联合分析结果表明,开农308的丰产稳产适宜性排在首位,其次为汾花8号、远杂9102;泰安、开封、濮阳的区分力和代表性较强。In this study, the best linear unbiased predicted value(BLUP) and genotypic main effect plus genotype-environment interaction effect(GGE) double plot evaluation methods were used to analyze the adaptability of small-grain peanut(Arachis hypogaea L.) varieties to high yield and stable yield, and the differentiation and representativeness of test sites in the niddle-south area of Huang-Huai-Hai region combined experiment, so as to explore the influence of genotype and environment on peanut growth and determine the production stability and adaptability of each variety. Variance analysis and heat map comparison between the BLUP value and the original data showed that there were many differences between the two groups of data, and the BLUP value was more reliable than the original data to explain the yield variation. The combined analysis results of UP-GGE biplot showed that the suitability of high yield and stable yield of Kainong308 ranked first, followed by Fenhua No.8 and Yuanza9102. Taian, Kaifeng and Puyang had strong distinguishing force and representativeness.

关 键 词：花生 BLUP值 GGE双标图 基因型与环境互作 

分 类 号：S565.2[农业科学—作物学]