highly significantp < 0.01
Among them the first principal component (IPCA1) was highly significant at ( p < 0.01) and explained 37.85% of the total variation on the G × E sum of squares, while IPCA2 explained 21.94%.
Among them the first principal component (IPCA1) was highly significant at ( p < 0.01) and explained 37.85% of the total variation on the G × E sum of squares, while IPCA2 explained 21.94%.