Genetic diversity of Albanian pea (Pisum sativum L.) landraces assessed by morphological traits and molecular markers

Abstract

Gixhari B., Pavelková M., Ismaili H., Vrapi H., Jaupi A., : Genetic diversity of Albanian pea (Pisum sativum L.) landraces assessed by morphological traits and molecular markers. Czech J. Genet. Plant Breed., 50: 177-184.In order to investigate the genetic diversity present in the pea germplasm stored in the Albanian genebank, we analyzed 28 local pea genotypes of Albanian origins for 23 quantitative morphological traits, as well as 14 retrotransposonbased insertion polymorphism (RBIP) molecular markers. The study of morphological characters carried out during three growing seasons (2010, 2011 and 2012) had the objective of characterization of traits useful in breeding programs. RBIP marker analysis revealed the genetic similarity in range from 0.06 to 0.45. ANOVA, principal component analysis (PCA) and cluster analysis was used to visualize the association among different traits. Most of the quantitative morphological traits showed significant differences. PCA and cluster analysis (Ward's method) carried out for morphological traits divided the local pea genotypes into three clusters. Finally, the study identified the agronomicaly important traits which will facilitate the maintenance and agronomic evaluation of the collections.

Genetic Diversity Analysis among Inbred Lines of Pearl millet [Pennisetum glaucum (L.) R. Br.] Based on Grain Yield and Yield Component Characters

“…This could be due to less contribution of first two principal components towards total variation. Such confirmatory results were also given by Gixhari et al, (2014), Chaudhary et al, (2015) and Kumar et al, (2015).…”

Genetic variability in peas (Pisum sativum L.) from Turkey asssessed with molecular and morphological markers

“…In the study by Smýkal et al (2008), the PCA of the morphological traits disclosed that 82% of the total variation was explained by 3 principal components comprising 48.8%, 27.0%, and 6.0%, respectively. In the Albanian pea germplasm, 86.91% of the variation was explained by the first three PCs (Gixhari et al, 2014). In the same study, the total contribution of quantitative traits included in PC1 accounted for 58.1% of PC1 variance.…”

“…The cluster analysis was applied using UPGMA. The Ward method was used to establish a dendrogram from the Euclidean distances of each accession (Gixhari et al, 2014). PCA was used to identify the weight of each characteristic.…”

“…It is assumed that the "Fertile Crescent" through Turkey, Iraq, Lebanon, Israel, and Syria is the centre of pea genetic diversification (Smýkal et al, 2013). Morphological characteristics and agronomical traits have been used by several studies conducted on the genetic diversity in the genus Pisum (Yirga et al, 2013;Gixhari et al, 2014;Ouafi et al, 2016). A few techniques are effective for investigating morphological variation in a genetic resource.…”

Molecular characterization of edible pea through EST-SSR markers

“…Our study divided all 23 pea lines into two main linkages that were further subdivided into seven subclusters, comparable to previous studies where cluster analysis grouped 35 pea accessions into two major clusters and eight subclusters (Gong et al, 2010;Xu et al, 2012;Zhang et al, 2013). Similarly, the study of Gixhari et al (2014) delineated 28 pea lines into 27 groups. The information revealed in cluster analysis may be useful in designing a breeding program (Ahmad et al, 2012).…”