Phenotypic Variability and Multiple Regression Analysis in Indian Bean (Lablab purpureus L.)

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dc.contributor.advisorSarolia, Deepak
dc.contributor.authorMahala, Vijaypal Singh
dc.date.accessioned2017-07-25T05:01:47Z
dc.date.available2017-07-25T05:01:47Z
dc.date.issued2012
dc.descriptionPhenotypic Variability and Multiple Regression Analysis in Indian Bean (Lablab purpureus L.)en_US
dc.description.abstractThe present investigation was carried out to estimate phenotypic variability, character association and path coefficient analysis among 15 germplasm of Indian beans for yield per vine and its contributing characters. Uniform 15 germplasm were selected in 5 villages. Analysis of variance indicated presence of considerable variability for all the 14 characters. High GCV and PCV were recorded for average pod weight, leaf area and yield per vine. High estimates of heritability along with high genetic advance as per cent of mean were observed for width of pod and yield per vine. Therefore, these characters can add in selection programme. The result from character association indicated that yield per vine had significant and positive correlation with number of branches per vine, average pod weight, seed index and number of pods per vine at both the levels. Path coefficient analysis revealed that characters viz., number of pods per vine, seed index, pod width, vine length, mean pod weight, fruit set, stem diameter and number of flowers per cluster had positive direct effect on yield per vine. Number of pods per vine, average pod weight, seed index, pod width and vine length showed high and positive indirect effect towards yield per vine. On the basis of mean performance the genotypes G14, G8 and G2 were found superior to the high mean values of yield per vine. These germplasm may further be utilized in breeding programme aimed at improving pod yield per vine in Indian bean. Result obtained from the present study based on variability parameters, correlation and path analysis revealed that selection programme based on number of pods per vine, seed index, pod width, pod length, mean pod weight, fruit set, stem diameter, leaf area, number of flowers per cluster and seeds per pod prove effective in enhancing productivity level in Indian bean.en_US
dc.identifier.citationMahala and Sarolia, 2012en_US
dc.identifier.urihttp://krishikosh.egranth.ac.in/handle/1/5810026083
dc.keywordsPhenotypic Variability and Multiple Regression Analysis in Indian Bean (Lablab purpureus L.)en_US
dc.language.isoenen_US
dc.pages71en_US
dc.publisherMPUAT, Udaipuren_US
dc.research.problemPhenotypic Variability and Multiple Regression Analysis in Indian Bean (Lablab purpureus L.)en_US
dc.subHorticultureen_US
dc.subjectnullen_US
dc.themePhenotypic Variability and Multiple Regression Analysis in Indian Bean (Lablab purpureus L.)en_US
dc.these.typeM.Scen_US
dc.titlePhenotypic Variability and Multiple Regression Analysis in Indian Bean (Lablab purpureus L.)en_US
dc.typeThesisen_US
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