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为了探究在不同统计模型下花生品种多性状的表现规律,以山西省南部花生主产区6个试点中的7个花生品种为研究对象,通过Eberhart-Russell、AMMI、DTOPSIS和PCA等4种模型分析方法,综合对比、评价不同花生品种及统计模型的适应性。结果表明,4种模型因统计方法的不同结果存在差异,Eberhart-Russell模型分析中品种晋花8号、花育911和临花9号遗传稳定性更好,而AMMI双标图及参数Di显示花育911和张户坡试点分别在产量变异中有更好的品种稳定性和试点分辨力,DTOPSIS和PCA分析分别以临花9号、花育911和临花9号、晋花8号为综合多性状最优品种。结合品种田间产量表现,AMMI分析能更科学地反映加性遗传模型中的GEI交互效应,而DTOPSIS分析在多品种多性状比较中更有优势。
In order to explore the performance of peanut variety traits under different statistical models, seven peanut cultivars from six peanut main producing areas in southern Shanxi Province were used as research objects. Four models including Eberhart-Russell, AMMI, DTOPSIS and PCA Analysis methods, comprehensive comparison, evaluate the adaptability of different peanut varieties and statistical models. The results showed that there were differences in the results of the four models due to the statistical methods. The genetic stability of varieties Jinhua 8, Huaying 911 and Linhua 9 was better in the Eberhart-Russell model analysis, while the AMMI double plot and the Di Hua-Yu-911 and Zhang-Po-Po had better breed stability and pilot resolution in yield variation respectively. The analysis of DTOPSIS and PCA were made by Linhua 9, Huayu 911, Linhua 9 and Jinhua 8 Comprehensive multi-trait best varieties. Combining with field yield performance of varieties, AMMI analysis can more accurately reflect the GEI interaction effects in additive genetic models, while DTOPSIS analysis has more advantages in multi-species and multi-trait comparison.