应用AMMI模型分析胡麻品种稳定性、适应性与试点代表性

Analysis of Varieties Stability,Adaptability and Testing Sites Representativeness Using AMMI Model in Flax

为深入分析胡麻区域试验资料,科学评价参试品种(基因)与试点(环境)效应,为胡麻品种登记试验结果分析提供依据,基于2015至2016年甘肃省胡麻区域试验数据资料,应用AMMI模型分析了参试胡麻品种的稳定性、适应性和试点代表性。研究结果表明:两年20点次试验基因(G)、环境(E)和交互作用(G×E)均达显著水平(P<0.05),环境(E)、基因与环境的交互作用(G×E)对胡麻产量具有重要影响。AMMI模型将基因与环境的交互作用(G×E)分解为3个互作显著的主成分(IPCA1,IPCA2,IPCA3),分别解释了基因与环境交互作用(G×E)变异信息的62.10%、21.19%和6.32%。按照稳定性参数值(Di)大小排序,参试品种Di值大小顺序为G10>G2>G9>G4>G1>G5>G6>G7>G8>G12>G11>G3,12个参试品种中G3、G11和G12的稳定性最好,G10、G2和G9稳定性最差,其余品种稳定性一般;试点Di值大小顺序为E2>E6>E7>E4>E1>E8>E3>E9>E5>E10,10个试点中E2(景泰县)试点代表性最好,E10(镇原县)代表性最差。受基因与环境的交互作用大小(G×E)的影响,不同品种在不同试点具有其特殊适应性。AMMI双标图更直观地展示了品种的稳定性、适应性和试点的代表性。本研究为甘肃胡麻区域试验试点设置和数据统计分析提供了重要依据。

In order to scientifically evaluate varieties stability,adaptability and testing sites representativeness and provide a basis for the analysis of flax(Linum usitatissimum L.)registration trial,AMMI model was used to analyze the data of flax regional trial in Gansu Province from 2015 to 2016.The results showed that gene(G),environment(E)and interaction(G×E)were significant(P<0.05).Environment(E)and interaction(G×E)have important effects on yield of flax.Based on the order of stability parameter(Di),the order of varieties were G10>G2>G9>G4>G1>G5>G6>G7>G8>G12>G11>G3.Among twelve varieties,the stability of G3,G11 and G12 was the best,G10,G2 and G9 were the worst,and the others were not stable.The order of testing sites were E2>E6>E7>E4>E1>E8>E3>E9>E5>E10.Among ten testing sites,E2(Jingtai County)was the most representative and E10(Zhenyuan County)the least.Due to the interaction(G×E)between gene and environment,different varieties have their special adaptability in different testing sites.The AMMI biplot intuitively shows the varieties stability,adaptability and testing sites representativeness.This results provides an important basis for the layout of testing site and analysis of flax regional trial in Gansu Province.