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Research Article | Open Access | Peer Review

Quantitative Genetic Analysis of Yield and Associated Traits in Brinjal under Sub-Tropical Conditions of Srinagar Garhwal

Abhay Singh ORCID iD , Khulakpam Naseeruddin Shah ORCID iD , Deepak Kumar Rana ORCID iD , Indra Jeet Chaudhary ORCID iD , Vivek Singh ORCID iD
Volume : 113
Issue: March(1-3)
Pages: 173 - 178
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Abstract


This study evaluated genetic variability, heritability, and genetic advance for yield and associated traits among 21 brinjal (Solanum melongena L.) genotypes under sub-tropical conditions at Srinagar Garhwal, Uttarakhand, during the summer-rainy season of 2025. The experiment was assessed in a randomized complete block design with three replications, measuring traits including plant height at 30, 60, and 90 DAT, primary and secondary branches per plant, fruit length, diameter, weight, yield per plant, total soluble solids (TSS), ascorbic acid, and ash content. Analysis of variance revealed highly significant genotypic differences across all traits, confirming substantial variability. High genotypic and phenotypic coefficient of variation were recorded for fruit weight (GCV 26.94%, PCV 26.97%), fruit length (25.03%, 27.18%), and fruit diameter (26.01%, 30.48%). High broad-sense heritability and high genetic advance as a percentage of the mean were observed in plant height at 30 DAT (93.18% h², 23.27% GA%) and secondary branches per plant (69.75% h², 21.73% GA%). Moderate values were observed for yield per plant (GCV 14.92%, PCV 27.84%, h² 28.72%, GA% 16.47%), while low values prevailed for ascorbic acid, ash content, and primary branches. Traits with high heritability and high genetic advance, particularly fruit morphology parameters, indicate predominant additive gene action, enabling effective phenotypic selection for yield improvement in brinjal breeding programs under subtropical conditions.

DOI
Pages
173 - 178
Creative Commons
Copyright
© The Author(s), 2026. Published by Madras Agricultural Students' Union in Madras Agricultural Journal (MAJ). This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited by the user.

Keywords


Brinjal Genetic Genotype Heritability Variability.

Introduction


Fruits and vegetables constitute indispensable components of a balanced human diet, supplying essential vitamins, minerals, antioxidants, and dietary fiber that contribute to the prevention of chronic diseases (Slavin and Lloyd, 2012). Recent nutritional evaluations further emphasize the functional role of vegetable-derived phytochemicals in promoting metabolic and cardiovascular health. Among vegetable crops, brinjal (Solanum melongena L.), commonly known as eggplant or aubergine, is valued for its nutritional richness and phytochemical composition.

Brinjal is one of the oldest domesticated vegetable crops, originating in Southeast Asia, and exhibits extensive morphological and genetic diversity. The crop shows remarkable variation in fruit shape, size, pigmentation, and plant architecture, making it an important model for genetic improvement studies. Modern diversity assessments have confirmed substantial variability among cultivated genotypes for yield and component traits (Perumalu Bhuvaneswari et al., 2023). India remains one of the largest producers of brinjal globally, with widespread cultivation across diverse agro-climatic regions. The different biological and climatic factors are accountable for decreasing the yield of eggplant in India (Singh et al., 2025). However, average productivity remains below potential levels due to limited exploitation of genetic variability and vulnerability to biotic and abiotic stresses. Contemporary studies have reported significant phenotypic variability among genotypes for growth, yield, and quality attributes, emphasizing the need for systematic evaluation under field conditions (Perumalu Bhuvaneswari et al., 2023).

The strains of cross-pollinated crops are very valuable because they play a crucial role in the launch and development of new varieties that can survive in the present-day scenario, as well as in showing resistance against various animate and inanimate factors. So, there is a serious requirement to preserve and explore these strains through various breeding programmes. These strains provide the flexibility of a breeder to create economically and climate-resilient varieties. The magnitude of variability components defines the crop effectiveness in a breeding programme. From a plant breeding perspective, assessment of inherent parameters such as phenotypic and genotypic coefficient of variation, heritability, and genetic advance remains fundamental.

The researcher can determine the degree to which environmental (abiotic) factors impact yield and yield-related traits by assessing genotypic and phenotypic variation in yield across various crop strains (Ullah et al., 2012). Heritability estimates are very useful for breeders to allocate resources effectively to identify desirable traits and to achieve the highest genetic gain in a timely and cost-effective manner (Smalley et al., 2004). Traits with high heritability can be rapidly improved through simple selection. Heritability, as a genetic component, holds no practical value on its own without accompanying genetic progress. The amount of heritable genetic variation accumulated in a trait under selection pressure is referred to as genetic progress (Bello et al., 2012). The coefficient of variation indicates the extent of genetic variability in various economic traits, but it does not account for the heritable portion.  Classical quantitative genetic principles (Johnson et al., 1955) continue to underpin modern variability analysis, while recent empirical evaluations confirm that heritability, coupled with genetic advance, provides reliable prediction of the selection response (Pradhan et al., 2024).


Methodology


The experiment was carried out at the Horticultural Research Centre, Chauras Campus, Department of Horticulture, H.N.B. Garhwal University, Srinagar (Garhwal), Uttarakhand. Twenty-one genotypes-Black Long, Green Brinjal (Round), Light Green, Long Cover Purple, Manipur Local, Odisha local-1, Odisha local-2, Rajasthan Local 1, Rajasthan Local 2, Rajasthan Local 3, Rajasthan Local 4, Rajasthan Local 5, Rajasthan Local 6, Srinagar Local, Thorny Brinjal, Tripura Local-1, Tripura Local-2, Tripura Local-3, Uttar Pradesh Local-1, Uttar Pradesh Local-2, and Pant Samrat were evaluated in a randomized complete block design (RCBD) with three replications during the summer-rainy season of 2025.

Treated seeds were sown in raised seedbeds under a polyhouse at the end of May and transplanted in the first week of July at 60 cm × 60 cm spacing. Farmyard manure (FYM) was applied at 25 t/ha during final ploughing. The recommended NPK dose (100:75:50 kg/ha) was supplied via urea, single superphosphate (SSP), and muriate of potash (MOP). Full doses of P and K, along with half of N, were incorporated before transplanting; the remaining N was top-dressed at 30 days after transplanting (DAT).

All recommended cultural practices were followed under scientific management. Observations recorded included plant height (cm) at 30, 60, and 90 DAT; number of primary and secondary branches per plant; fruit length (cm), weight (g), and diameter; yield per plant; total soluble solids (TSS, °Brix); ascorbic acid (mg/100 g); and ash content (%). Five randomly selected and tagged plants per treatment were used for data collection. Quality parameters were analyzed following Ranganna (2015).

Statistical analysis of each trait was performed using MS-Excel and OPSTAT. Genotypic and phenotypic coefficients of variation were calculated as per Johnson et al., (1955); heritability, following Lush (1940); and expected genetic advance, according to Lush (1949) and Johnson et al., (1955).


Results Discussion


Analysis of variance indicated significant differences in almost all the 21 genotypes for yield and yield-related traits, confirming the reliability of the experimental design. Highly significant variations were evident across growth, yield, and quality attributes. Genotypic comparisons of the 12 traits revealed substantial differences, indicating strong potential for selection. Table 1 summarizes variability metrics: GCV, PCV, heritability, and genetic advance, expressed as a percentage of the mean. Genotypic coefficient of variation was high (>20%) for fruit weight (26.94%), fruit length (25.03%), and fruit diameter (26.01%), consistent with findings by Barik et al., (2021) and Shilpa et al., (2018) in brinjal. Moderate GCV (10-20%) occurred for yield per plant (14.92%), secondary branches per plant (12.63%), plant height at 30 DAT (11.70%), and TSS (11.07%), aligning with Chaudhary et al. (2023). GCV remained low (<10%) for ascorbic acid (8.48%), ash content (7.34%), primary branches per plant (4.04%), plant height at 60 DAT (3.74%), and plant height at 90 DAT (4.64%). Similar findings were also reported by Thomas et al., (2022), Chaudhary et al., (2023), and Sangam et al., (2020). Such patterns indicate strong genetic control for fruit traits and greater environmental influence on growth parameters in brinjal.

Table 1: Genetic variability parameters for different characters in brinjal genotypes

Sr. No.

Characters

Genotypic Coefficient of Variations (%)

Phenotypic Coefficient of Variations (%)

Heritability (%)

Genetic Advance

Genetic Advance value % means

1.       

Plant Height (30 DAT)

11.704

12.125

93.188

6.748

23.275

2.       

Plant Height (60 DAT)

3.746

5.011

55.877

4.116

5.768

3.       

Plant Height (90 DAT)

4.646

5.369

74.887

6.472

8.283

4.       

Number of primary branches/plants

4.043

13.357

9.163

0.156

2.521

5.       

Number of secondary branches/plants

12.633

15.126

69.757

2.654

21.736

6.       

Fruit weight (g)

26.945

26.972

99.803

59.207

55.453

7.       

Fruit diameter (cm)

26.011

30.481

72.821

2.599

45.725

8.       

Fruit Length (cm)

25.035

27.185

84.803

4.968

47.491

9.       

Total soluble solids (°Brix)

11.017

24.205

20.715

0.346

10.329

10.    

Ascorbic acid (mg/100g)

8.488

22.637

14.058

0.219

6.556

11.    

Ash content (%)

7.342

11.148

43.373

1.14

9.961

12.    

Yield per plant (kg)

14.921

27.841

28.724

0.132

16.474

 

High phenotypic coefficient of variation (PCV >20%) was observed for fruit diameter (30.48%), yield per plant (27.84%), fruit length (27.18%), fruit weight (26.97%), TSS (24.20%), and ascorbic acid (22.63%), consistent with findings by Chaudhary et al. (2023). Moderate PCV (10-20%) characterized secondary branches per plant (15.12%), primary branches per plant (13.35%), plant height at 30 DAT (12.12%), and ash content (11.14%), aligning with results from Shruti et al., (2019) and Mishra et al., (2024). Low PCV (<10%) was observed for plant height at 60 DAT (5.01%) and 90 DAT (5.36%), similar observations were also recorded by Tripathi et al., (2025).

Heritability estimates indicate the proportion of observed phenotypic variation attributable to additive genetic effects. Following the classification by Johnson et al., (1955), heritability values are deemed low (<30%), moderate (30-60%), or high (>60%), a framework applied in this study. High heritability was observed for fruit weight (99.80%), plant height at 30 DAT (93.18%), fruit length (84.80%), plant height at 90 DAT (74.88%), fruit diameter (72.82%), and secondary branches per plant (69.75%), consistent with findings by Shruti et al., (2019). Moderate heritability was observed for plant height at 60 DAT (55.87%) and ash content (43.37%), aligning with reports by Rameshkumar et al., (2022). Low heritability was observed for yield per plant (28.72%), TSS (20.71%), ascorbic acid (14.05%), and primary branches per plant (9.16%), corroborating results from Vankalas et al., (2024) and Shruti et al., (2019).

Genetic advance represents expected genetic improvement from selection and relies directly on a population's genetic variability, whereas genetic advance expressed as a percentage of the mean provides an estimate of anticipated progress. Johnson et al., (1955) classified genetic advance as a percentage of the mean into low (<10%), moderate (10-20%), and high (>20%) categories. Genetic advance as a percent of mean was high (>20%) for fruit weight (55.45%), fruit length (47.49%), fruit diameter (45.72%), plant height at 30 DAT (23.27%), and secondary branches per plant (21.73%), consistent with findings by Shruti et al., (2019), Siva et al., (2020) and Kuswaha et al., (2023). Moderate genetic advance (10-20%) occurred for yield per plant (16.47%) and TSS (10.32%), aligning with Shruti et al. (2019) and Kuswaha et al. (2023). Low genetic advance (<10%) was observed for ash content (9.96%), plant height at 90 DAT (8.28%), ascorbic acid (6.55%), plant height at 60 DAT (5.76%), and primary branches per plant (2.52%), matching Kuswaha et al., (2023). High genetic advance as a percentage of the mean (59.20%) was observed for fruit weight, consistent with findings from Kuswaha et al., (2023). In contrast, low genetic advance (<10%) prevailed for plant height at 30 DAT (6.74%), 60 DAT (4.11%), and 90 DAT (6.47%), along with fruit length (4.96%), fruit diameter (2.59%), secondary branches per plant (2.65%), primary branches per plant (0.15%), ash content (1.14%), TSS (0.34%), ascorbic acid (0.21%), and yield per plant (0.13%), corroborating reports by Shah et al., (2024) and Vasa et al., (2025). Evaluating both heritability and genetic advance enhances the reliability of selection in brinjal breeding. When high heritability coincides with high genetic advance, it signals dominant additive gene effects, ideal for efficient selection. Conversely, low values of both suggest heavy environmental influence, making selection unreliable; high heritability paired with low genetic advance (from non-additive effects) may deceive initial decisions; and low heritability with high genetic advance indicates environmental effects overriding additive gene action. Traits with high heritability often show considerable genetic progress, making them top priorities for selection.


Conclusion


Substantial variability was observed in brinjal for morphological, yield, and quality traits. High genotypic coefficient of variation (GCV), phenotypic coefficient of variation (PCV), heritability, and genetic advance as a percentage of the mean were observed for key traits such as fruit weight, fruit length, fruit diameter, plant height at 30 DAT, and secondary branches per plant. Moderate levels were observed in yield per plant, TSS, plant height at 60 DAT, and ash content, whereas low values were observed for ascorbic acid, primary branches per plant, and plant height at later stages. Consequently, direct selection on fruit traits will effectively improve high-yielding genotypes, whereas indirect selection is recommended for traits with low heritability.


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Cite This Article


APA Style

Singh, A., Naseruddin Shah, K., Kumar Rana, D., Chaudhary, I., & Singh, V. (2026). Quantitative genetic analysis of yield and associated traits in brinjal under sub-tropical conditions of Srinagar Garhwal. Madras Agricultural Journal. https://doi.org/10.29321/MAJ.10.261319

ACS Style

Singh, A.; Naseruddin Shah, K.; Kumar Rana, D.; Chaudhary, I.; Singh, V. Quantitative Genetic Analysis of Yield and Associated Traits in Brinjal under Sub-Tropical Conditions of Srinagar Garhwal. Madras Agric. J. 2026. https://doi.org/10.29321/MAJ.10.261319

AMA Style

Singh A, Naseruddin Shah K, Kumar Rana D, Chaudhary I, Singh V. Quantitative genetic analysis of yield and associated traits in brinjal under sub-tropical conditions of Srinagar Garhwal. Madras Agric J. 2026:173-178. doi:10.29321/MAJ.10.261319

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