Diversity of pea (Pisum sativum) accessions based on morphological data for sustainable field pea breeding in Argentina

Abstract

ABSTRACT. We characterized 13 accessions of dry peas of different origins from various growing regions in Argentina, based on three replications of 20 plants cultivated in 2009 and 2010 in a greenhouse, with the objective of selecting those with favorable characteristics for use in breeding programs. Significant differences were found for length and width of stipule and pod, length of the internodes and leaflets, plant height, total number of nodes, number of nodes at the first pod, number of days to flowering and to harvest, number of pods and seeds per pod, 100-seed weight and grain diameter, demonstrating a high degree of genetic variability. Phenotypic correlation analysis demonstrated that large pods produced more seeds per pod, but the seed weight decreased. Plants with smaller number of nodes in the first pod were more productive. Estimates of genotypic correlation coefficients indicated a strong inherent association among the different traits. Clustering methods grouped the accessions into five clusters. of leaflets (7.43 cm) and days to flowering (122.6), while cluster 3, with one accession, and cluster 4, with two accessions, showed the highest values for number of seeds per pod (3.78 and 4.39), number of pods per plant (5.33 and 5.70), length of pods (5.54 and 5.72 cm), and width of pods (1.21 and 1.20 cm, respectively). We conclude that accessions in clusters 3 and 4 would be useful for crosses with other cultivars in pea breeding programs.

Evaluation of morphological diversity of field pea [Pisum sativum subsp.arvense (L.)] germplasm under sub-tropical climate of Manipur

“…The 51 genotypes were grouped into seven clusters (Figure 1 and Table 5) with members within cluster between nine quantitative traits is presented in Table 3. In general, the genotypic correlation coefficient was higher than the phenotypic value indicating strong inherent association between traits under study (Chaudhary and Sharma, 2003;Necat et al, 2008;Espósito et al, 2009, Ghobary, 2010and Gatti et al, 2011.…”

“…Thus, simple linear correlation analysis will help in selecting yield attributing traits. The phenotypic and genotypic correlation coefficient the genotypes to be used as parents based on strength of contribution to principal component (Gatti et al, 2011). The optimal number of principal components (PCs) that explain the maximum amount of original data variation was determined by considering PCs with Eigen value > 1.0 (Jeffers,1967 andLezzoni andPritts, 1991).…”

“…Under sub-tropical climate of Manipur, located between 92°58'E and 94°45 'E longitude and 23°50'N and 25°42'N Latitudes (Economic Survey, 2013-14), it is imperative to evaluate these released varieties for their adaptability in the region in order to replace the old recommended varieties and also, quantifying the genetic variance at the target environment for practical crop improvement. The existence of genetic variability forms the basis of genetic improvement of a specific trait (Gatti et al, 2011).The present investigation was therefore undertaken for practical utility of field pea genotypes under Manipur conditions and the results discussed.…”

Keanekaragaman genotipe-genotipe potensial dan penentuan keragaman karakter argo-morfologi ercis (Pisum sativum L.)

“…Analisis komponen utama berfungsi untuk mengurangi dimensionalitas dari kumpulan data yang melibatkan sejumlah variabel yang saling berhubungan namun masih mempertahankan sebanyak mungkin variasi dalam kumpulan data (Jolliffe, 2002). Analisis komponen utama membantu mengurangi jumlah sifat yang dianalisis untuk mengkarakterisasi genotipe yang akan digunakan sebagai sumber asal berdasarkan pada kekuatan kontribusi terhadap komponen utama (Gatti et al, 2011).…”

“…Kontribusi dari setiap karakter mungkin ada tetapi tidak menunjukkan kontribusi maksimum.Keberadaan variabilitas genetik membentuk dasar perbaikan genetik dari sifat tertentu (Gatti et al, 2011)…”