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dc.contributor.authorAlam, Banaz-
dc.contributor.authorPaul, Amitava-
dc.date.accessioned2022-02-24T10:47:22Z-
dc.date.available2022-02-24T10:47:22Z-
dc.date.issued2019-04-06-
dc.identifier.issn2278-4136-
dc.identifier.urihttps://vbudspace.lsdiscovery.in/xmlui/handle/123456789/5208-
dc.description.abstractAbstract Path analysis was performed on plant and fruit characters of twenty nine tomato genotypes grown in a two years field experiments to determine for fruit yield, the direct and indirect effects of the various yield attributing traits: days to first flowering, days to 50% flowering, number of flower cluster plant-1 , primary branches plant-1 , secondary branches plant-1 , plant height (cm), number of fruits plant-1 and average fruit weight (g). Fruit yield plant-1 was positively and significantly correlated with primary branches plant-1 (0.40, 0.39), number of fruits plant-1 (0.47, 0.37) and average fruit weight (0.59, 0.49) at both genotypic and phenotypic levels, respectively. Path analysis showed that secondary branches plant-1 had the highest positive direct effect (0.89) on fruit yield plant-1 followed by average fruit weight (0.87), number of fruits plant-1 (0.65), days to 50% flowering (0.19) and number of flower cluster plant-1 (0.05), while other traits like days to first flowering, primary branches plant-1 and plant height had negative direct effects. The significant positive correlation coefficients of number of fruits plant-1 and average fruit weight with fruit yield plant-1 were resulted mainly from high and positive direct effects of these traits with fruit yield suggesting direct selection would be rewarding whereas for the characters days to 50% flowering and number of flower cluster plant-1 for which correlation coefficients were negative but the direct effect was positive, a restricted simultaneous selection model is to be followed. For the character like plant height, the indirect causal factors eg. secondary branches plant-1 and number of fruits plant-1 are to be considered simultaneously for selection, since indirect effects seem to be the cause of correlation.en_US
dc.language.isoenen_US
dc.relation.ispartofseriesVol.08;No. 03-
dc.subjectPath analysis, correlation, yield components, tomatoen_US
dc.titlePath analysis of the relationships between fruit yield and some yield components in tomato (Solanum lycopersicum L.en_US
dc.title.alternativeJournal of pharmacognosy and Phytochemistryen_US
dc.typeArticleen_US
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