Genetic variability, characters association and path analysis for yield and fruit quality components in Brinjal

Koundinya, A. V. V.; Das, Arpita; Layek, Santanu; Chowdhury, R. Ray; Pandit, M. K.

doi:10.31018/jans.v9i3.1364

Cited by 7 publications

(4 citation statements)

References 11 publications

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“…The results were represented in Table 2. Similar outcomes had previously been reported by Muniappan et al, [16], Kumar and Anumugam [5], Lokesh [13], Mili et al, [10] and Solaimana et al, [11] [25]. Ascorbic acid content is important quality parameters of brinjal.…”

Section: Flowering Parameterssupporting

confidence: 87%

Performance Evaluation of Brinjal (Solanum melongena L.) under Mid Hill Conditions of Uttarakhand, India

Harish A.,

Pant,

Bahuguna

2023

IJPSS

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Brinjal (Solanum melongena L.), belongs to the family Solanaceae, which is an important vegetable crop of sub-tropics and tropics. The present investigation was carried out at the Vegetable Research and Demonstration Block, College of Horticulture, VCSG UUHF, Bharsar, during Kharif, 2017 to evaluate diverse germplasm of brinjal under mid hill conditions. The experiment was laid out in RCBD with three replications. In this study, twenty-seven genotypes viz., DRNKV-02-104, IVBL-116-131, NBJ-19, JB-9, Aruna, JB-2, CH-1045, Swarna Shree, JB, DRNKV-104-43, RCMBL-04-04, IBH-2, Kavya, B. Dewariya, DBR-8, DMU-1, Azad Brinjal-2, Co-11, JB-67, KKM-1, BCB-464, PLR-1, JB-18, Bhagyamati, BB-58, Pusa Shyamala including one check cultivar Pant Samrat were evaluated for different horticultural traits. During the investigation, 18 growth, flowering, fruiting, yield and quality parameters were recorded. The result of variance revealed that the mean sum of square due to treatment were significant at 5% level for all the traits. The genotypes, Aruna, DRNKV-02-104, NBJ-19, JB-2, RCMBL-04-04, IVBL-116-131 and Kavya recorded higher fruit yield and also performed better for other horticultural traits than check cultivar. These genotypes need to undergo additional testing before being made available as a replacement for currently available brinjal varieties, or they can be included in additional breeding programmes to develop improved varieties or hybrids of brinjal.

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Section: Flowering Parameterssupporting

confidence: 87%

Performance Evaluation of Brinjal (Solanum melongena L.) under Mid Hill Conditions of Uttarakhand, India

Harish A.,

Pant,

Bahuguna

2023

IJPSS

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“…Many earlier research workers have also reported significant and positive association of total fruit yield per plant with average fruit weight, number of fruits per plant and fruit circumference. These finding as similar report [14,15,16,17].…”

supporting

confidence: 92%

Estimate of Genotypic and Phenotypic Correlation and Path Coefficient in Brinjal (Solanum melongena L)

Singh,

Yadav,

Singh

et al. 2024

JABB

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The significant positive correlation among phenotypic and genotypic performance, as well as path correlation of crops, contributes to the selection of superior cultivars. Based on the essential relevance of these estimations, it was used in our research. The current research was carried out during autumn winter season 2021-2022 with the aim of to estimate correlation coefficient among the growth and yield attribute and to elucidate the direct and indirect effects of different traits on yield through path coefficient analysis. The experimental material for the study consisted of 40 genotypes including one check (KS-224), laid in Randomized Complete Block Design with three replications. Observations were recorded on twelve quantitative characters. The most important trait, total fruit yield per plant had exhibited highly significant and positive phenotypic correlation with average fruit weight (0.662), number of fruits per plant (0.476), fruit circumference (0.394) and fruit polar length (0.392). Average fruit weight, number of fruits per plant, fruit circumference and fruit polar length were found significantly and positively correlated among themselves. The genotypic direct and indirect effects of most of the traits were similar in nature and higher in magnitude than the phenotypic direct and indirect effect. The higher magnitude of positive direct effect on total fruit yield was exerted by average fruit weight (0.793), number of fruits per plant (0.684) and fruit circumference (0.046). While, negative direct effect on total fruit yield per plant was exerted by days to 50 per cent flowering (-0.093), calyx length (-0.052) and pedicel length (-0.022). Thus, it can be inferred from the data above that selecting for these qualities will effectively enhance the crop for increased production and contributing traits.

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“…Fruit length and diameter had significant positive genotypic and phenotypic correlation with fruit pedicel thickness and fruit weight while it showed significant negative genotypic and phenotypic correlation with fruits per plant and total marketable fruits (Arti et al, 2019;Kustagi et al, 2019). Fruits per plant had significant positive genotypic and phenotypic correlation with total marketable fruits whereas significant negative genotypic and phenotypic correlation with fruit weight as also reported by Koundinya et al (2017) and Tripathy et al (2017).…”

Section: Resultsmentioning

confidence: 77%

Genetic variability and correlation analysis for yield and yield contributing characters in brinjal (Solanum melongena L.)

2022

EJPB

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Thirty brinjal genotypes were evaluated for eighteen quantitative characters in a randomized block design with three replications. Variability studies for 18 quantitative characters revealed that the phenotypic coefficient of variation (PCV) was comparatively greater than the corresponding genotypic coefficient of variation (GCV) for all the characters studied. Maximum PCV (59.49%) and GCV (59.48%) were registered for fruit weight. High estimates of heritability accompanied with high genetic advance as per cent of mean were recorded for most of the traits viz., fruit length, diameter, pedicel length, pedicel thickness, relative fruit calyx length, fruit weight, fruits per plant, the number of marketable fruits, marketable fruit yield and fruit yield per plant indicating the prominence of additive gene action, thus pointing towards the effectiveness of simple selection depending on the phenotypic expression of genotypes would be rewarding for genetic improvement of these characters. Significant positive correlation of fruit yield per plant at both genotypic and phenotypic levels with plant height, percentage of medium and long styled flowers, fruit setting percentage, fruit length, fruit diameter, fruit pedicel length, fruit pedicel thickness, fruit weight, marketable fruit yield and significant negative correlation with the number of primary branches, days to 50% flowering, days to first harvest, relative fruit calyx length, fruits per plant, total marketable fruits. Therefore, considering these characters would be beneficial in the selection for fruit yield per plant.

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Genetic variability, characters association and path analysis for yield and fruit quality components in Brinjal

Cited by 7 publications

References 11 publications

Performance Evaluation of Brinjal (Solanum melongena L.) under Mid Hill Conditions of Uttarakhand, India

Performance Evaluation of Brinjal (Solanum melongena L.) under Mid Hill Conditions of Uttarakhand, India

Estimate of Genotypic and Phenotypic Correlation and Path Coefficient in Brinjal (Solanum melongena L)

Genetic variability and correlation analysis for yield and yield contributing characters in brinjal (Solanum melongena L.)

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