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MULTI VARIATE ANALYSIS FOR YIELD AND ITS CONTRIBUTING TRAITS IN GARDEN PEA (Pisuin sativwn L.)

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dc.contributor.author SAHA, KRISNA CHANDRA
dc.date.accessioned 2018-11-17T09:12:28Z
dc.date.available 2018-11-17T09:12:28Z
dc.date.issued 2013-06
dc.identifier.uri http://archive.saulibrary.edu.bd:8080/xmlui/handle/123456789/923
dc.description A Thesis Submitted to the Faculty of Agriculture, Sher-e-Bangta Agricultural University, [)haka, in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE IN GENETICS AND PLANT BREEDING SEMESTER: JANUARY- JUNE, 2013 en_US
dc.description.abstract A field experiment was conducted during November 2011 to March 2012 to study the multivariate analysis for yield and its contributing traits in garden pea (PLvum sativum) with 46 genotypes in Randomized Complete Block Design (RCBD) with three replications. The genotypes were placed in a field experiment conducted at the research farm of Sher-e-Bangla Agricultural University. Dhaka- 1207. Analysis of variance for each trait showed significant differences among the genotypes. Phenotypic coefficients of variation (PC\') was also close to genolypie coefficients of variation (GCV) for all the characters indicating that environment had influence on the expression of these characters. High heritability associated with high genetic advance percent of mean was observed for branch per plant and pod length which indicated that selection fbr these characters would be effective. Seed yield per plant had highly significant positive genotypic and phenotypic association with branch per plant, and hundred seed weight revealed that selection based on these traits would ultimately improve the seed yield. Path coefficient analysis revealed that branch per plant and hundred seed weight had the highest positive direct effect on seed. Hence, thrust has to be given for these characters in fiuture breeding programme to improve the yield in garden pea. Multivariate analysis based on 10 agronomic characters indicated that the 46 genotypes were grouped into live distant clusters. The maxinuim contribution of characters towards diversity was observed by days to first flowering, days of 50% flowering, plant height and branches per plant. Thus, these traits may be given high emphasis while selecting the lines for hybridization. The inter cluster distance was maximum between cluster Ill and cluster V. The highest intra-cluster distance was found in cluster IlL From the results it can be concluded that the following genotypes viz.. G17 (BD-4153), G9 (BD-4144). G25 (13D-4165), 029 (BD-4169). 034 (BD-4175). G36 (BD-4177). G44 (BD-7217) were identified as potential genotypes lbr higher seed yield in garden pea. en_US
dc.language.iso en en_US
dc.publisher Department of Genetics and Plant Breeding, Sher-e-Bangla Agricultural University, Dhaka-1207 en_US
dc.subject GARDEN PEA en_US
dc.subject Pisuin sativwn L. en_US
dc.title MULTI VARIATE ANALYSIS FOR YIELD AND ITS CONTRIBUTING TRAITS IN GARDEN PEA (Pisuin sativwn L.) en_US
dc.type Thesis en_US


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