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通过 2 a、4个区试点和 5种基因型及其互作效应研究 ,运用混合线性模型和 MINQU E(1)法 ,对箭豌豆包括株高在内的9个农艺性状可塑性进行评价 ,揭示了年份和区试点的生态环境效应、基因型与生态环境互作效应对各农艺性状的可塑性。结果表明 ,种子产量和千粒重等性状的基因型与生态环境互作效应达到了极显著水平 (p <0 .0 1和 p<0 .0 0 1)。生态环境分量 (年份、区试点、年份×区试点 )对各农艺性状的可塑性贡献较大 ,同时在不同生态环境间各农艺性状间差异达到了显著水平 (p <0 .0 5)。其中区试点分量对各农艺性状的可塑性贡献最大 ,各农艺性状在 4个区试点之间差异达到了显著水平 (p<0 .0 1) ,肃南和天祝的 2个区试点的牧草干重和种子产量等重要农艺性状的平均值显著大于另 2个区试点。各农艺性状在不同年份间差异达到了极显著水平 (p<0 .0 1) ,2 0 0 2年各农艺性状的平均值显著优于 2 0 0 1年。牧草干重和种子产量数量性状与气候因子的相关分析表明 ,5～ 8月份的月均温对牧草干重和种子产量的影响作用较大 ,较高的温度有利于牧草干重和种子产量的提高 ;7月份的降水量与牧草干重和种子产量存在一定程度的正相关关系。品系 2 556和 2 560在进行了基因型与环境互作效应稳定性评价后 ,4个区试点两年间都?
Through the experiment of 2 a, 4 plots and 5 genotypes and their interaction effects, the agronomic traits plasticity of arrowhead pea including the plant height was evaluated by the mixed linear model and MINQU E (1) Revealed the eco-environmental effects of year and district pilots, and the plasticity of agronomic traits by the interaction of genotypes and ecological environment. The results showed that the genotypes and ecological effects of seed yield and 1000-grain weight reached an extremely significant level (p <0.01 and p <0.01). The components of ecological environment (year, area and year × district pilot) contributed greatly to the plasticity of each agronomic trait, and at the same time, the differences of agronomic traits among different ecological environments reached a significant level (p <0.05). The experimental components of the region contributed most to the plasticity of each agronomic trait, and the differences of agronomic traits among the four plots reached significant levels (p <0.01). The dry grass of two plots of Sunan and Tianzhu The average of important agronomic traits such as weight and seed yield were significantly greater than those of the other two districts. The agronomic traits in different years reached a significant level (p <0.01), and the average of agronomic traits in 2002 was significantly better than that in 2001. The correlation analysis between quantity and yield of forage grass and seed yield and climatic factors showed that the monthly average temperature from May to August had a great effect on the dry weight and seed yield of forage. The higher temperature was beneficial to the dry weight and seed yield of forage Increase; the precipitation in July and grass dry weight and seed yield there is a certain degree of positive correlation. After 2 556 and 2 560 strains were evaluated for the stability of the interaction between genotype and environment,