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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Alam, Banaz | - |
| dc.contributor.author | Paul, Amitava | - |
| dc.date.accessioned | 2022-02-24T10:47:22Z | - |
| dc.date.available | 2022-02-24T10:47:22Z | - |
| dc.date.issued | 2019-04-06 | - |
| dc.identifier.issn | 2278-4136 | - |
| dc.identifier.uri | https://vbudspace.lsdiscovery.in/xmlui/handle/123456789/5208 | - |
| dc.description.abstract | Abstract 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.iso | en | en_US |
| dc.relation.ispartofseries | Vol.08;No. 03 | - |
| dc.subject | Path analysis, correlation, yield components, tomato | en_US |
| dc.title | Path analysis of the relationships between fruit yield and some yield components in tomato (Solanum lycopersicum L. | en_US |
| dc.title.alternative | Journal of pharmacognosy and Phytochemistry | en_US |
| dc.type | Article | en_US |
| Appears in Collections: | Faculty / Staff / Scholars Publication | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 2019_ PSB_JA-74_protected.pdf | 489.23 kB | Adobe PDF | View/Open |
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