Evaluation of Variations in Seed Vigour Characters of West African Rice (<i>Oryza sativa</i> L.) Genotypes Using Multivariate Technique

Abstract

Seeds of 24 West African rice (Oryza sativa L.) genotypes were evaluated for seed vigour traits in the laboratory and field in two cropping seasons at the Research Farm of Federal University of Agriculture, Abeokuta, Nigeria. Seed yields of these genotypes were also determined in the field during the two seasons. Data collected on seed vigour traits were subjected to multivariate analysis including principal component analysis (PCA) and cluster analysis. The first three axes of the principal component analysis across the two seasons captured 86.34% of the total variation among the entries and identified seedling vigour index-I, seedling vigour index-II, speed of germination index, percentage germination, seedling establishment, emergence percentage and seed yield per plant as the characters contributing most to the variation. Cluster analysis classified these genotypes into four distinct groups based on germination and emergence percentages. Fifteen of the genotypes with mean values of between 60.43% and 65.18%, clustered in group 1, two genotypes each with mean values of 65.71% and 58.81% and 20.11% and 29.49% clustered in groups II and IV respectively while the remaining five genotypes with mean values of between 55.19% and 55.88% clustered in group III. Hybridization of genotypes across dusters could lead to increase in heterosis in cross progenies. Those characters identified by PCA could be included in the crop improvement programme for improved seed quality within West African low land rice germplasm.

Genetic characterization and population structure of Indian rice cultivars and wild genotypes using core set markers

“…Since the variation is high (≥25 %) for principal components, this information can be used along with cluster analysis to identify the related genotypes (Ahmad et al 2015 ). Our results are in agreement with Adebisi et al ( 2012 ), who reported that the first three principal components were the most important in reflecting the variation patterns among accessions. The markers associated in classifying the genotypes can be recommended in differentiating population subgroups.…”

Genetic diversity in pearl millet restorers based on seed vigour traits and SSR markers

“…These specific associations among the genotypes present in different clusters can be harnessed to improve a significant trait. These findings are in agreement with previous studies on rice genotypes (Adebisi et al 2013a) and maize inbreds (Adebisi et al 2013b). Good germination and better seedling vigour are very important in case of pearl millet seed production as pearl millet is usually grown in rain-fed environment.…”

“…In most of the studies, genetic variation among inbred lines or genotypes is being usually assessed by using morphological characters and isozyme markers. There are several studies in literature relating to diversity analysis based on morphological characters (Loumerem et al 2008, Pucher et al 2015, Kumari et al 2016 but the studies related to seed vigour characters are very few (Adebisi et al 2013a, Jan et al 2016.…”

Variation in seed morpho-physiological and biochemical traits of Java olive populations originated from Java, Bali, Lombok, and Timor Islands, Indonesia

“…Morphological characterization combined with multivariate statistical methods, such as cluster analysis, are useful tools for screening accessions (Akintobi et al 2002;Golparvar 2013;Adebisi et al 2013). Hierarchical cluster analysis separated the java olive populations based on the fruit, seed morphological and biochemical characteristics into three groups, i.e.…”