02327naa a2200229 a 450000100080000000500110000800800410001910000170006024501130007726000090019050001450019952014960034465000250184065000260186565000260189165000250191765000130194270000260195570000140198170000140199577300880200920680092017-05-16       2017    bl uuuu     u00u1 u    #d1 aALVES, B. M.  aLinear associations among phenological, morphological, productive, and energetic-nutritional traits in corn.  c2017  aTítulo em português: Associações lineares entre caracteres fenológicos, morfológicos, produtivos e nutricionais energéticos em milho.  aThe 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 roductive 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.  aChemical composition  aMultivariate analysis  aComposição química  aMétodo estatístico  aZea Mays1 aCARGNELUTTI FILHO, A.1 aBURIN, C.1 aTOEBE, M.  tPesquisa Agropecuária Brasileira, Brasília, DFgv. 52, n. 1, p. 26-35, jan. 2017.