应用AMMI和HA-GGE双标图分析甘蔗品种产量 稳定性和试点代表性

对甘蔗区域试验数据进行基因型与环境互作分析,有利于全面了解参试品种的丰产性和各试点的代表性,对优良新品种的推广和品种的区域分布也有着重要意义。本文综合利用AMMI模型和HA-GGE双标图对2014年国家甘蔗第10轮区域试验11个品种和13个试点的蔗茎产量和蔗糖产量数据进行产量稳定性和丰产性分析,评价试点的代表性和分辨力。结果表明:蔗茎产量和蔗糖产量在不同品种和试点间存在极显著差异,品种和试点存在极显著互作效应。‘福农40号’综合表现最佳,是产量高、丰产性好且蔗茎产量和蔗糖产量的稳定性均较强的品种;‘云蔗08-2060’的产量略低于‘福农40号’,但蔗茎产量和蔗糖产量的稳定性强于‘福农40号’;与对照品种‘ROC22’相比,‘粤甘43号’、‘粤甘46号’和‘闽糖02-205’的蔗茎产量和蔗糖产量较高,稳定性中等,‘福农40号’、‘粤甘43号’、‘粤甘46号’和‘云蔗08-2060’均具有较强的适应性,可在适宜蔗区推广应用。综合AMMI和HA-GGE双标图分析结果表明,广东遂溪、云南开远和福建福州具有较高的地点分辨力和试点代表性。因此,AMMI和HA-GGE双标图的综合运用,可更准确直观地评价出各品种的丰产性、稳定性和适应性以及各试点的分辨力和代表性。本研究可为甘蔗新品种的鉴定与推广提供有价值的理论参考。

Analysis of yield stability and test site representativeness of sugarcane trials using combined AMMI and HA-GGE biplot models

Knowledge on yield stability of sugarcane varieties and representativeness of test sites during national regional trials of sugarcane varieties is critical for rationally regional distribution and guiding sugarcane breeding. Additive main effects and multiplicative interaction (AMMI) and heritability adjusted GGE (HA-GGE) biplot models are the two widely used statistical methods in analyzing data on crop variety trials. Using experimental data from regional trials, the interactions between crop genotype and environment can be analyzed to determine yield potential of tested varieties and representativeness of pilots. In order to assess the representativeness and discrimination ability of 13 test locations of sugarcane variety trail, the AMMI model was used in combination with HA-GGE bipliot to analyze cane and sugar yields of 11 sugarcane varieties planted at 10 national regional trial sites of sugarcane varieties in China. The results showed that cane and sugar yields were significantly different for different varieties and test sites. There was significant interaction effect between variety and test site. The 'FN40' sugarcane variety had the best performance, with high yield, good productivity and high stability of cane yield and sugar yield. The yield of 'YZ08-2060' sugarcane variety was slightly lower than that of 'FN40', while the stability of its cane and sugar yields was slightly higher than that of 'FN40'. Compared with 'ROC22' variety, 'YG43', 'YG46' and 'MT02-205' had higher cane and sugar yields, but had lower stability. 'FN40', 'YG43', 'YG46' and 'YZ08-2060' had stronger adaptability, and were recommended for cultivation at suitable planting sites. The result further indicated that three test locations, Suixi of Guangdong Province, Kaiyuan of Yunnan Province and Fuzhou of Fujian Province, had higher discrimination and better representativeness based on comprehensive analysis of AMMI and HA-GGE biplot models. Here, two sugarcane varieties ('FN40' and 'YZ08-2060'), both with high yield and good stability, were recommended for commercial production in all sugarcane planting areas in China. In conclusion, the combined used of AMMI and GGE biplot model provided more accurate assessment for the productivity, stability and adaptability of sugarcane varieties. It was also very reliable in terms of demonstration of discrimination and representativeness of test sites. This study provided valuable reference base for the identification and promotion of new sugarcane varieties.