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基于HA-GGE双标图的甘蔗试验环境评价及品种生态区划分
引用本文:罗俊,许莉萍,邱军,张华,袁照年,邓祖湖,陈如凯,阙友雄.基于HA-GGE双标图的甘蔗试验环境评价及品种生态区划分[J].作物学报,2015,41(2):214-227.
作者姓名:罗俊  许莉萍  邱军  张华  袁照年  邓祖湖  陈如凯  阙友雄
作者单位:1福建农林大学 / 农业部福建甘蔗生物学与遗传育种重点实验室 / 国家甘蔗产业技术研发中心, 福建福州 350002; 2 全国农业技术推广服务中心, 北京 100125
基金项目:国家现代农业(甘蔗)产业技术体系建设专项,国家公益性行业(农业)科研专项,国家农作物品种区域试验项目(农财发[2012]21号)资助。
摘    要:采用遗传力校正的GGE双标图(heritability adjusted GGE,HA-GGE),分析基因型(G)、环境(E)、基因型与环境互作效应(GE)对产量变异的影响,对14个试验点的分辨力、代表性和理想指数进行分析,并对这些试验点的生态区进行划分。结果表明,甘蔗试验环境对产量变异的影响大于基因型和基因型与环境互作;互作因素中以环境×基因型的互作效应最大,基因型×年份的互作效应最小。广东遂溪(E3)和广西崇左(E6)为最理想试验环境,对筛选广适性新品种和鉴别理想品种的效率最高;福建福州(E1)、福建漳州(E2)、广东湛江(E4)、云南保山(E11)、云南临沧(E13)、云南瑞丽(E14)为理想试验环境;广西百色(E5)、广西河池(E7)、海南临高(E10)、云南开远(E12)为较理想试验环境;广西来宾(E8)、广西柳州(E9)为不太理想的试验环境。根据HA-GGE双标图分析结果,可将我国甘蔗生态区划分为3个,即以广西百色、河池、来宾和柳州为代表的华南内陆甘蔗品种生态区,以云南保山、开远、临沧、瑞丽为代表的西南高原甘蔗品种生态区,涵盖福建福州、漳州、广东湛江、遂溪、广西崇左等试点的华南沿海甘蔗品种生态区。

关 键 词:甘蔗  产量  基因型×环境交互作用  HA-GGE双标图  生态区划分
收稿时间:2014-04-02

Evaluation of Sugarcane Test Environments and Ecological Zone Division in China Based on HA-GGE Biplot
LUO Jun,XU Li-Ping,QIU Jun,ZHANG Hua,YUAN Zhao-Nian,DENG Zu-Hu,CHEN Ru-Kai,QUE You-Xiong.Evaluation of Sugarcane Test Environments and Ecological Zone Division in China Based on HA-GGE Biplot[J].Acta Agronomica Sinica,2015,41(2):214-227.
Authors:LUO Jun  XU Li-Ping  QIU Jun  ZHANG Hua  YUAN Zhao-Nian  DENG Zu-Hu  CHEN Ru-Kai  QUE You-Xiong
Institution:1.Fujian Agriculture and Forestry University / Key Laboratory of Sugarcane Biology and Genetic Breeding, Ministry of Agriculture / Sugarcane Research & Development Center, China Agriculture Research System, Fuzhou 350002, China;2.National Agricultural Technology Extension and Service Center, Beijing 100125, China
Abstract:The yield data of 24 sugarcane cultivars grown at 14 test locations were analyzed by combining analysis of variance and heritability-adjusted GGE (HA-GGE) biplot to study the genotype (G), environment (E), and genotype×environment (GE) effects on yield variation. Besides, the 14 test locations were evaluated for their discriminating ability, representative ability and desirability index, and grouped into ecological zones based on the GGE biplot patterns. The results showed that the effect of environments on yield was higher than that of G and GE, and the genotype by location interaction was the greatest while genotype by year interaction the least within GE. The GGE biplot analysis revealed that Suixi of Guangdong Province and Chongzuo of Guangxi Province were the two most ideal test locations for developing and/or recommending cultivars for the whole region. In contrast, Laibin and Liuzhou of Guangxi Province were undesirable for selection and variety recommendation for the whole region. The other relatively desirable test locations included Fuzhou and Zhangzhou of Fujian Province, Zhanjiang of Guangdong Province, Baoshan, Lincang, and Ruili of Yunnan Province, followed by the four less desirable test environments, Baise and Hechi of Guangxi Province, Lingao of Hainan Province and Kaiyuan of Yunnan Province. According to the results from HA-GGE analysis, the sugarcane ecological zones in China could be divided into three subregions, the first is the ecological zone of southern China inland, represented by Baise, Hechi, Laibin and Liuzhou of Guangxi Province, the second one is the ecological zone of southwest plateau, represented by Baoshan, Kaiyuan, Lincang and Ruili of Yunnan Province, and the third one is the ecological zone of coastal southern China, represented by Fuzhou and Zhangzhou of Fujian Province, Zhanjiang and Suixi of Guangdong Province, and Chongzuo of Guangxi Province. The present study fully displayed the successful application of HA-GGE biplot in trial environment evaluation and also provided the theoretical basis for the decision-making in ecological zone division.
Keywords:Sugarcane  Yield  Genotype×environment (GE) interaction  Heritability adjusted GGE  Ecological zone division
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