Linear associations among phenological, morphological, productive, and energetic-nutritional traits in corn
DOI:
https://doi.org/10.1590/S1678-3921.pab2017.v52.23928Keywords:
Zea mays, chemical composition, multivariate analysisAbstract
The objective of this work was to verify if there is linear dependence between the phenological, morphological, and productive traits and the energetic-nutritional ones in early maturing and super-early maturing corn genotypes. A total of 36 early maturing and 22 super-early maturing corn genotypes were evaluated in a randomized complete block design with three replicates, and the phenological, morphological, productive, and energetic-nutritional traits were measured. The matrix of phenotypic correlation coefficients among traits was determined; the multicollinearity diagnosis was carried out within each group of traits; and the canonical correlation analysis was performed. Linear dependence was observed between the groups of phenological, morphological, and productive traits and of the energetic-nutritional ones. In early maturing genotypes, significant canonical correlation shows the existence of linear dependence between the morphological and energetic-nutritional traits. The significant canonical pair shows that taller plants have lower amylose contents in the grains and reduced nitrogen-corrected apparent metabolizable energy. In super-early maturing genotypes, significant canonical correlations of the phenological, morphological, and productive traits with the energetic-nutritional ones indicate that a greater number of days from sowing to female flowering and ear insertion height, as well as a lower number of ears, increase ether extract contents in the grains.Downloads
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Published
2017-03-20
How to Cite
Alves, B. M., Cargnelutti Filho, A., Burin, C., & Toebe, M. (2017). Linear associations among phenological, morphological, productive, and energetic-nutritional traits in corn. Pesquisa Agropecuaria Brasileira, 52(1), 26–35. https://doi.org/10.1590/S1678-3921.pab2017.v52.23928
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STATISTICS