تحليل التداخل البيئي الوراثي و الصفة X الصنف لفول الصويا

Abstract EN

GGE-Biplot was used to analyze yield data of eight cultivars of soybean that sown in four environments(2 locations X 2 years) to investigate the effect of genotype X environment interaction and test the performance of these cultivars under that environments.

Performance of six traits was tested by GT-Biplot to study simple correlations among them.

Whereas, GGE-Biplot interpreted 88.7% of total variance, whereas the first two principal components were explained 59.5% and 29.2 % of total variance, respectively.

This technique showed that the four environments were suitable for soybean cultivars DT84,Lee74 and M103 which were superior under these environments based on yield data.TN12 was most stable as shown on biplot.

GT-Biplot interpreted 70.3% of total variance resulted from traits behavior among them.

However, the first two principal components explained 43.7% and 26.6% of total variance, respectively.

AK09 behavior was stable in all traits.

GT-Biplot indicated that there was significant correlation (acute angle) between seed yield and pods per plant, and plant height and seed weight.

It could be concluded that the two techniques were effective to partition variances resulted from environments and trait response as well as to extract correlation among traits using acute angle among traits vectors; therefore, it could be recommended to use these techniques to study genotype-environment interaction and selection based on traits that had the strongest correlation with seed yield.

For example, Lee74 could be selected based on traits of dry matter, seed yield and pods per plant.