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- Title
CORRELATION, CLUSTER AND REGRESSION ANALYSIS OF SEED YIELD AND ITS CONTRIBUTING TRAITS IN PEA (PISUM SATIVUM L.).
- Authors
Ramzan, Aasia; Noor, Tahira; Naseeb Khan, Taj; Hina, Aiman
- Abstract
A field study was conducted in RCBD with 3 replications at Horticultural Research Institute, National Agricultural Research Centre, Islamabad, Pakistan during 2009-10. The research was focused to compute the correlation coefficient, cluster analysis and linear multiple regression on yield and its contributing traits in pea (Pisum sativum). Promising genotypes (Fallon, DMR- 20, PS-40, 10599, 10674, 10694, 10696, PS-810240, 94610191, 2001-55 FS-21-87, Sheree and DMR-04) were planted in the field alongwith two local checks (Meteor and Climax). The results of correlation between traits showed that number of seeds per pod (0.603**), pods per plant (0.534**) and fresh weight (0.464**) had significant positive correlation with the yield. Cluster analysis based on Euclidean distances showed high level of genetic diversity among different pea genotypes. Dendrogram was formed, comprising four main clusters and six sub clusters. Cluster one showed similarity index (SI) of 28%, second 74% and third cluster 73%. According to Euclidean distance most closely related genotypes were Sheree and DMR-04. The multiple regression variance analysis designated highly significant results among all the characters studied, which suggested that all the characters affected yield components. The R2 value was 0.782 which shows significance of results. The results from correlation and cluster analysis strongly suggest that number of seeds per plant, pods per plant and seed fresh weight should be considered as indices for developing high yielding pea genotypes.
- Subjects
PEA breeding; PEA yields; CLUSTER analysis (Statistics); REGRESSION analysis; VEGETABLES; STANDARDS
- Publication
Journal of Agricultural Research (03681157), 2014, Vol 52, Issue 4, p481
- ISSN
0368-1157
- Publication type
Article