Relationship between plant, seed and physiological characters in soybean

Abstract

Canonical correlations estimate relationships between groups of variables important, making it easier manage studies on large numbers of characters. The objective was to identify the canonical correlations among the seed, physiological and plant characteristics in the soybean crop, as well as the Pearson linear correlations within each group of characteristics. The experimental design was randomized blocks for the field and completely randomized in the laboratory, with four and three replications. Canonical groups were established among the plant characters (weight and number of nodules, shoot dry weight, number of pods, 1000-grain weight and grain yield) and seed (shoot and root length, seedling dry weight, electrical conductivity, accelerated aging, electrical conductivity, first count and germination), physiological variables (grain and leaf protein content, total chlorophyll, carotenoids and the guaiacol peroxidase enzyme) and the group of plant, and seed and physiological variables. The electrical conductivity is negatively related to the variables of first count and germination. Higher grain yields are observed when the plants have a higher plant mass, a thousand grain mass and number of vegetables per plant. Just as carotenoids are correlated with chlorophyll levels. The variables are not independent of each other. Some variables must be prioritized due to the cause-effect relationship they have. Higher levels of protein in grains and leaves are related to plants that produce greater mass of 1000 grains and grain yield.