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Position: Home > Articles > GGE biplot analysis of yield stability and test location representativeness in proso millet (Panicum miliaceum L.) genotypes Journal of Integrative Agriculture 2016,15 (6)

GGE biplot analysis of yield stability and test location representativeness in proso millet (Panicum miliaceum L.) genotypes

作  者:
Zhang Pan-pan;Song Hui;Ke Xi-wang;Jin Xi-jun;Yin Li-hua;Liu Yang;Qu Yang;Su Wang;Feng Nai-jie;Zheng Dian-feng;Feng Bai-li
单  位:
Baoji Inst Agr Sci, Qishan 722400, Peoples R China;Northwest A&F Univ, Minist Sci & Technol, State Key Lab Crop Stress Biol Arid Areas, Yangling 712100, Peoples R China;Anyang Acad Agr Sci, Anyang 455000, Peoples R China;Heilongjiang August First Agr Univ, Natl Coarse Cereals Engn Res Ctr, Daqing 163319, Peoples R China
关键词:
proso millet;GGE biplot;yield stability;test location representativeness
摘  要:
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 variance (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 interaction effect was six times higher than G effect in non-waxy group and seven times in waxy group. N04-339 in non-waxy and Neinni 6 (NM6) in waxy showed higher grain yields and stability compared with other genotypes. Also, Neinni 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 (E10) 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, El 0 and e14 have enhanced efficiency and accuracy for non-waxy genotypes and waxy genotypes selection, respectively in national regional test of proso millet varieties.

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