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作物学报 ›› 2015, Vol. 41 ›› Issue (02): 214-227.doi: 10.3724/SP.J.1006.2015.00214

• 作物遗传育种·种质资源·分子遗传学 • 上一篇    下一篇

基于HA-GGE双标图的甘蔗试验环境评价及品种生态区划分

罗俊1,许莉萍1,邱军2,张华1,袁照年1,邓祖湖1,陈如凯1,阙友雄1,*   

  1. 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
  • 收稿日期:2014-04-02 修回日期:2014-12-19 出版日期:2015-02-12 网络出版日期:2014-12-29
  • 通讯作者: 阙友雄, E-mail: queyouxiong@126.com
  • 基金资助:

    本研究由国家现代农业(甘蔗)产业技术体系建设专项(CARS-20), 国家公益性行业(农业)科研专项(201003009-2)和国家农作物品种区域试验项目(农财发[2012]21号)资助。

Evaluation of Sugarcane Test Environments and Ecological Zone Division in China Based on HA-GGE Biplo

LUO Jun1,XU Li-Ping1,QIU Jun2,ZHANG Hua1,YUAN Zhao-Nian1,DENG Zu-Hu1,CHEN Ru-Kai1,QUE You-Xiong1,*   

  1. 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
  • Received:2014-04-02 Revised:2014-12-19 Published:2015-02-12 Published online:2014-12-29
  • Contact: 阙友雄, E-mail: queyouxiong@126.com

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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

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.

Key words: Sugarcane, Yield, Genotype×environment (GE) effects, Heritability adjusted GGE, Ecological zone division

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