Effects of Genotype by Environment Interactions on Milk Yield, Energy Balance, and Protein Balance (original) (raw)
2007, Journal of Dairy Science
The additive main effects and multiplicative interaction (AMMI) model and genotype main effects and genotype-by-environment interaction (GGE) biplot are commonly used to analyze multi environmental trial data. This study adopted the AMMI model and GGE biplot to comprehensively analyze the data on genotypes tested in the 2016-2017 Zhongcheng combined regional maize trial in China. Results showed that the traits highly and significantly differed across different genotypes (G) and environments (E). Significant or very significant genotype-by-environment interactions (GEI) were also found. With the exception of 100-kernel weight, the ratio of GEI for the remaining three traits was lower than that of E and higher than that of G. GEI was decomposed, and the interaction information of PCA1 and PCA2 in the interaction of four traits was significant. Hengyu1587 and Shiyu 1503 performed better than the other hybrids and were identified as excellent varieties across locations because of their outstanding performances according to a 2-year observation. The comprehensive utilization of the AMMI model and GGE biplot can enable the scientific and objective judgment of the high yield, stability, and adaptability of tested maize hybrids and provides theoretical support for the rational layout of maize hybrids in the environments of Hebei Province.
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