Studies on Correlation and Path Coefficient Analyses in  Brinjal (Solanum melongena L.)

Gupta, Ram Ashish; Ram, CN; Chakravati, Satish Kr.; Deo, Chandra; Vishwakarma, Manish K.; Gautam, Diksha; Kumar, Pushpendra

doi:10.20546/ijcmas.2017.607.474

Cited by 8 publications

(11 citation statements)

References 3 publications

(3 reference statements)

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“…The correlation between fruit length and weight, and yield was positive but not significant. This is in line with the results of other groups of researchers [11][12][13]. Earliness had a negative correlation with yield (r = −0.044) and with all other parameters.…”

Section: Resultssupporting

confidence: 92%

Assessment of Eggplant (Solanum melongena L.) Genotypes and Selection of Parameters for Better Yield

Damnjanović

Girek

Milojević³

et al. 2022

The 1st International Online Conference on Agriculture—Advances in Agricultural Science and Technology

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Section: Resultssupporting

confidence: 92%

Assessment of Eggplant (Solanum melongena L.) Genotypes and Selection of Parameters for Better Yield

Damnjanović

Girek

Milojević³

et al. 2022

The 1st International Online Conference on Agriculture—Advances in Agricultural Science and Technology

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“…It was seen that the magnitude of genotypic correlation coefficient was higher than the corresponding values of the phenotypic correlation coefficient. This indicated a strong genetic association between the traits and the phenotypic expression which was suppressed due to environmental influence" [4].…”

Section: Correlationmentioning

confidence: 97%

“…Hence, selection of one trait influences the other pleiotropically affected or linked traits. Considerable importance has been attached to correlation studies are very important as they have a role in the plant improvement and are helpful in making an effective selection" [4]. "In the present study, correlations between seventeen characters of brinjal was worked out in all possible combinations at phenotypic and genotypic level (Table 1).…”

Section: Correlationmentioning

confidence: 99%

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A Study on Correlation and Path Coefficient Analysis of Brinjal (Solanum melongena L.) for Yield and Yield Contributing Traits

Nazir¹,

Hussain²,

Zehra³

et al. 2022

IJPSS

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Correlation and path analysis was studied for 43 lines and F1s of brinjal (Solanum melongena L.) for seventeen qualitative and quantitative characters. The studies revealed that total fruit yield plant-1 which is the most important trait had highly significant and positive association with fruit weight, number of fruits plant-1, fruit length, fruit diameter and number of pickings plant-1 at both phenotypic and genotypic level. A significant but negative correlation of fruit yield was recorded with days to first flowering, days to first fruit set and days to first fruit picking. Path coefficient analysis revealed that the highest magnitude of positive direct effect on yield was exerted by number of fruits plant-1 (1.865) followed by fruit weight (0.848), fruit length (0.259), plant spread (0.188), plant height (0.142), number of pickings (0.109) whereas, lowest positive direct effect on fruit yield was observed for fruit diameter (0.088). For negative direct effects, days to first flowering (-0.868) showed highest negative direct effect on total fruit yield plant-1 followed by number of branches plant-1 (-0.099), days to first fruit picking (-0.078), and days to first fruit set (-0.044). Therefore, during selection, these characters should also be taken into consideration. Direct selection may be carried out. Considering these traits as the main selection criteria, direct selection can be done. This will also cut down the indirect effect of other characters for developing high yielding brinjal varieties.

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“…The positive genetic correlations between two variables make the improvement of both characteristics much easier because, by exerting selection pressure on one, the other is indirectly affected in the same way because of the joint action of genes that govern them or the pleiotropic action between these characteristics (Gupta et al, 2017).…”

Section: Correlationsmentioning

confidence: 99%

Correlations and path analysis for quantitative characteristics in semi-prostrate cowpea bean genotypes (Vigna unguiculata (L.) Walp)

Araméndiz-Tatis¹,

Camacho²,

Ayala³

2020

Rev. Colomb. Cienc. Hortic.

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The cowpea is the most important legume in the Colombian Caribbean, due to its positive impact on the food and nutritional security of low-income rural families. It is cultivated by small producers, but its yields per hectare do not exceed 600 kg, due to the use of obsolete cultivars. The objective of the research was to estimate the correlations between seven quantitative characters and the path analysis between grain yield and six quantitative characters, with the results of the evaluation of 10 genotypes of semi-prostrate growth habit, high grain yield, grown in eight environments of the humid and dry tropics of the Colombian Caribbean region, under the randomized complete blocks design, with four repetitions. Significant differences between environments, genotypes and genotype x environment interaction were detected. Genotypic correlations were of greater magnitude than phenotypic, highlighting the correlation between grain width (GW) and grain yield (GY), rP = 0.69 *, rG = 0.78 *, also between the weight of 100 seeds (100SW) and GW, rP = 0.97 **, rG = 0.99 **. The characters GW and number of pods per plant (NPP) had positive direct effects on the GY, with an indirect negative effect of NPP by way of GW, while the height of the first pod (HFP), the number of seeds per pod (NSP) and the 100SW directly and negatively influenced the GY of the 10 semi-prostrate cowpea cultivars.

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Studies on Correlation and Path Coefficient Analyses in Brinjal (Solanum melongena L.)

Cited by 8 publications

References 3 publications

Assessment of Eggplant (Solanum melongena L.) Genotypes and Selection of Parameters for Better Yield

Assessment of Eggplant (Solanum melongena L.) Genotypes and Selection of Parameters for Better Yield

A Study on Correlation and Path Coefficient Analysis of Brinjal (Solanum melongena L.) for Yield and Yield Contributing Traits

Correlations and path analysis for quantitative characteristics in semi-prostrate cowpea bean genotypes (Vigna unguiculata (L.) Walp)

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