Discrimination of forage pea seed lots by means of multivariate techniques

Abstract

Multivariate techniques allow to understand the structural dependence contained in the variables, as well as to characterize groups of seed lots according to specific standards. Thus, this study analyzes the efficiency of multivariate exploratory techniques in discriminating forage pea seed lots as a function of the physiological potential of seeds. We evaluated ten seed lots of forage pea in a completely randomized design, considering the following variables: thousand seed weight, germination, first germination count, electrical conductivity, and accelerated aging. Moreover, seedling emergence, first count of seedlings in the field, and seedling emergence speed index in the field were added to randomized blocks with four replications per lot. Initially, the data obtained in each test were analyzed separately by means of analysis of variance, and the means of the treatments were compared by the Scott Knott test at 5% probability. Exploratory multivariate statistical techniques were applied by means of Cluster Analysis and Principal Components Analysis to discriminate seed lots with better physiological quality and to characterize the variables responsible for the differentiation between them. Multivariate analysis of principal components is efficient in discriminating vigor and seed germination tests in Pisum sativum subsp. Arvense, which help in identifying lots of superior performance in the field.

Electrical Conductivity and Ethanol Release to Assess Red Rice Seed Vigor1

“…In red rice seeds, the electrical conductivity test showed a strong relationship with the emergence of seedlings in the field (Table 4) and provided early important information about its physiological potential. Some authors found that the electrical conductivity test also showed highly significant correlation with seedling emergence in the field for several species, such as peanut (BARBOSA et al, 2012), graniferous sorghum (MARCOS; DUTRA, 2018), and forage pea (MACHADO et al, 2019). Thus, coherence between the electrical conductivity results and performance in the field was established, as this is a premise for the effectiveness of a vigor test, because of limitations of the germination test.…”

“…The electrical conductivity test meets these characteristics and has great potential, because it is a fast method and benefits both industries and farmers alike (PRADO et al, 2019). It has been useful in the evaluating the seed vigor of several species such as common bean (LEÃO et al, 2012), peanut (BARBOSA et al, 2012, graniferous sorghum (MARCOS; DUTRA, 2018), forage pea (MACHADO et al, 2019), andsoybean (PRADO et al, 2019). However, there is no specific information in previous literature on the methodology of the electrical conductivity test for red rice seeds.…”

Germination and Vigor of Soybean and Corn Seeds Treated with Mixed Mineral Fertilizers

“…The principal component analysis of the soybean seed treatments was adequate, as the values of the principal components were similar to those found in studies evaluating soybean seed lots [ 28 ] and safflower vigor tests [ 29 , 30 ]. According to [ 31 ], a relatively small number of components were extracted (PC1 and PC2), with the ability to explain the highest variability in the original data.…”

“…The multivariate data analysis methods allow a global study of these variables, evidencing the connections, similarities, or differences between them with the least possible loss of information [ 26 , 29 , 30 , 31 , 34 ].…”