Canonical correlation for morphoagronomic and bromatological traits in silage corn genotypes

Abstract

The aim of this study is to assess whether there is linear dependence between groups of morphoagronomic and bromatological traits in hybrid silage corn. Nineteen topcross hybrids and five checks were assessed in two different environments in Campos dos Goytacazes and Itaocara counties, Rio de Janeiro State, during the growing seasons 2013/2014. The study followed a randomized blocks design with four replicates. The phenotypic and canonical correlations between the groups of seven morphoagronomic and five bromatological traits were PLANT BREEDING -Article assessed. There is linear dependence between the group pairs of morphoagronomic, and bromatological variables. The morphoagronomic trait green mass yield can be adopted in indirect selection processes to indicate the increased bromatological quality of maize silage based on features such as crude protein, neutral detergent fiber, lignin, crude fat and mineral matter. Topcross hybrids UENF-2208 and UENF-2209 presented high potential for silage yield in the North and Northwest Regions.

Canonical interrelationships in morphological characters, yield and nutritional components of corn

“…Estimates of correlations between secondary traits and yield components, secondary traits and amino acids, secondary and bioactive traits, secondary and micronutrient traits, yield and amino acid components, yield and bioactive components, yield components and micronutrients, amino acids and bioactive, amino acids and micronutrients, bioactive and micronutrients, were explained in II, III, III, V, III, V, II, V, V and IV canonical pairs, respectively. Similar magnitude results were observed Alves, Cargnelutti-Filho, Burin and Toebe (2016), Nascimento et al (2008) and Crevelari et al (2019).…”

“…These estimates showed an inheritable association between characteristics. Therefore, they can be used in indirect selection processes in breeding programs (Crevelari et al, 2019).…”

“…The correlations between the yield components and micronutrients were positive for all effects in the canonical pair I, as well as in the yield components of the canonical pair II, however with a reduction in the levels of copper (Cu) and zinc (Zn) (Figure 7). The morpho-agronomic characters showed a positive and high-magnitude correlation with most bromatological characteristics, such a result showed that the morpho-agronomic traits influenced bromatological features, since they increased simultaneously (Crevelari et al, 2019). Using only path analysis and canonical correlations allow a clearer interpretation of the association between two or groups of variables and the interference that others have in this association (Nascimento et al, 2018).…”

“…In the cause and effect estimates correlating the bioactive and the micronutrients (Figure 10), it was observed that in the four canonical pairs analyzed all the bioactive showed different behaviors in terms of magnitude and subtraction, or even addition, as well as observed for the micronutrients, except iron (Fe) which has always shown an increase in its levels. Crevelari et al (2019) characteristics such as dry matter content, crude protein content, neutral detergent fiber, lignin, crude fat and mineral matter. For Song et al (2018), the bioactive components are partially responsible for the nutritional and health benefits of soybeans, and these in turn, presented their studies correlations with environmental factors.…”

Closing the Gap: Sustainable Intensification Implications of Increased Corn Yields and Quality for Second-Crop (safrinha) in Mato Grosso, Brazil

“…Our results are consistent with a study of 18 corn hybrids during the 2003-2004 wetseason in southern Minas Gerais state in southeastern Brazil, which concluded that choosing hybrids with high digestibility is essential for the production of quality corn silage [40]. Unlike our results, evaluation of 19 corn hybrids for silage in Rio de Janeiro state in southeastern Brazil during the 2013 and 2014 dry seasons found that green matter yield can be used for indirect selection of bromatological quality [41]. Our 2020 dry-season average green matter yield (GMY) for corn silage (42.85 metric tons (t)/hectare (ha); Table 3) was 34.9% greater than average corn silage GMY (31.78 t/ha) in this same southeastern Brazil study, with our GMY having 25.8% lower standard deviation [41].…”