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GGE biplot analysis of yield stability and test location representativeness in proso millet (Panicum miliaceum L.) genotypes 被引量:13
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作者 ZHANG Pan-pan SONG Hui +8 位作者 KE Xi-wang JIN Xi-jun YIN Li-hua LIU Yang QU Yang SU Wang FENG Nai-jie ZHENG Dian-feng FENG Bai-li 《Journal of Integrative Agriculture》 SCIE CAS CSCD 2016年第6期1218-1227,共10页
The experiments were conducted for three consecutive years across 14 locations using 9 non-waxy proso millet genotypes and 16 locations using 7 waxy proso millet genotypes in China. The objectives of this study were t... The experiments were conducted for three consecutive years across 14 locations using 9 non-waxy proso millet genotypes and 16 locations using 7 waxy proso millet genotypes in China. The objectives of this study were to analyze yield stability and adaptability of proso millets and to evaluate the discrimination and representativeness of locations by analysis of vari- ance (ANOVA) and genotype and genotype by environment interaction (GGE) biplot methods. Grain yields of proso millet genotypes were significantly influenced by environment (E), genotype (G) and their interaction (GxE) (P〈0.1%). GxE inter- action effect was six times higher than G effect in non-waxy group and seven times in waxy group. N04-339 in non-waxy and Neimi 6 (NM6) in waxy showed higher grain yields and stability compared with other genotypes. Also, Neimi 9 (NM9, a non-waxy cultivar) and 90322-2-33 (a waxy cultivar) showed higher adaptability in 7 and in 11 locations, respectively. For non-waxy, Dalat, Inner Mongolia (E2) and Wuzhai, Shanxi (E5) were the best sites among all the locations for maximizing the variance among candidate cultivars, and Yanchi, Ningxia (El0) had the best representativeness. Wuzhai, Shanxi (e9) and Yanchi, Ningxia (e14) were the best representative locations, and Baicheng, Jilin (e2) was better discriminating location than others for waxy genotypes. Based on our results, El0 and e14 have enhanced efficiency and accuracy for non-waxy genotypes and waxy genotypes selection, respectively in national regional test of proso millet varieties. 展开更多
关键词 proso millet gge biplot yield stability test location representativeness
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应用GGE双标图评价谷子区试品种稳产性及试点代表性 被引量:13
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作者 杨天育 常磊 +3 位作者 郭二虎 何继红 董孔军 柴守玺 《作物杂志》 CAS CSCD 北大核心 2013年第5期51-54,共4页
应用GGE双标图法对2010年国家谷子区域试验(早熟组)9个品系8个试点的产量稳定性和试点代表性进行了分析评价,结果表明:大同33号、9931-2-1-2、张杂谷6号属于丰产、稳产性都较好的品种。大同33号在西吉、大同、会宁、原州4个试点表现最好... 应用GGE双标图法对2010年国家谷子区域试验(早熟组)9个品系8个试点的产量稳定性和试点代表性进行了分析评价,结果表明:大同33号、9931-2-1-2、张杂谷6号属于丰产、稳产性都较好的品种。大同33号在西吉、大同、会宁、原州4个试点表现最好;A2-2241在榆林、张家口、赤峰3个试点表现最好,2003-929在呼和浩特最好,原产地育成品种基本上在当地具有很好的适应性。西吉试点是既有区分力又有代表性的试点,呼和浩特和张家口试点的区分能力较强,但代表性一般,会宁、原州、大同、赤峰试点是有代表性的试点,但对品种的区分能力有限。 展开更多
关键词 gge双标图 谷子 区域试验 产量 稳定性 试点代表性
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