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Biplot evaluation of test environments and identification of mega-environment for sugarcane cultivars in China

机译:中国甘蔗品种试验环境的双线评估和大环境鉴定

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摘要

Test environments and classification of regional ecological zones into mega environments are the two key components in regional testing of sugarcane cultivars. This study aims to provide the theoretical basis for test environment evaluation and ecological zone division for sugarcane cultivars. In the present study, sugarcane yield data from a three-year nationwide field trial involving 21 cultivars and 14 pilot test locations were analysed using both analysis of variance (ANOVA) and heritability adjusted-genotype main effect plus genotype-environment interaction (HA-GGE) biplot. The results showed that among the interactive factors, the GE interaction had the greatest impact, while the genotype and year interaction showed the lowest impact. Kaiyuan, Lincang and Baoshan of Yunnan, Zhangzhou and Fuzhou of Fujian, and Hechi, Liuzhou and Chongzuo of Guangxi, and Lingao of Hainan were ideal test environments with a demonstrated high efficiency in selecting new cultivars with a wide adaptability, whereas Baise of Guangxi was not. Based on HA-GGE biplot analysis, there are three ecological sugarcane production zones in China, the Southern China Inland Zone, the Southwestern Plateau Zone, and the Southern Coastal Zone. The HA-GGE biplot analysis here presents the ideal test environments and also identifies the mega-environment for sugarcane cultivars in China.
机译:测试环境和将区域生态区划分为大环境是甘蔗品种区域测试的两个关键组成部分。本研究旨在为甘蔗品种的试验环境评价和生态区划提供理论依据。在本研究中,使用方差分析(ANOVA)和遗传力调整型基因型主效应加上基因型-环境相互作用(HA-GGE)对来自21个品种和14个中试地点的三年全国田间试验的甘蔗产量数据进行了分析。 )双线图。结果表明,在交互因素中,GE交互影响最大,而基因型和年份交互影响最小。云南的开元,临沧和宝山,福建的漳州和福州,广西的河池,柳州和崇左以及海南的临高是理想的试验环境,在选择适应性广的新品种方面表现出很高的效率,而广西百色不。根据HA-GGE双标图分析,中国共有三个生态甘蔗生产区:华南内陆区,西南高原区和南部沿海区。 HA-GGE双图分析提供了理想的测试环境,还确定了中国甘蔗品种的大环境。

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