Author:
Rashmi K.1*, Shivapriya M.2, Vishnuvardhana3 and Ravishankar K. V.4
Journal Name: Biological Forum, 17(10): 20-24, 2025
Address:
1Ph.D. Scholar, Department of Plant Biotechnology, COH, UHS Campus, Bengaluru (Karnataka), India.
2Associate Professor, Department of Biotechnology and Crop Improvement, COH, Mysore (Karnataka), India.
3Vice Chancellor, UHS, Bagalkote (Karnataka), India.
4Principal Scientist, Division of Basic Sciences, IIHR, Hesaraghatta, Bengakuru (Karnataka), India.
(Corresponding author: Rashmi K.* rashminaikk@gmail.com)
DOI: https://doi.org/10.65041/BiologicalForum.2025.17.10.4
Melons (Cucumis melo L.) are one of the economically important horticultural crops grown extensively throughout India and other tropical and sub-tropical regions of the world (Dhaliwal, 2017). Melons are nutritious and vitamin-rich wholesome fruits. Majority of melon contain more than 90 per cent water and are rich in antioxidants, primary metabolites (protein, lipid, and carbohydrate), several vitamins (Vitamin A, Vitamin B1, Vitamin B2, Vitamin B6, etc.) and minerals notably Potassium, Calcium, Iron, Magnesium and Phosphorous. The fruits have approximately 45 kcal energy per 100 g (Salunkhe and Kadam 1998). The yellow and orange-fleshed melons contain carotene (Lester, 1997; Chakrabarti, 2001; Shivapriya et al., 2021). Polyphenol content in fruits has health beneficial property (Shivapriya et al., 2021). Seed kernels are edible, tasty, nutritious and rich in oil and energy. The entire melon fruit (including peel and seed) has anti-inflammatory, analgesic and anti-proliferative (supporting cancer prevention) activity (Jackson et al., 2007; Vayssade et al., 2010; Huang and Ho 2010).
The significant genetic variability in any breeding material is a prerequisite as it does not only provide a basis for selection but also provide some valuable information regarding selection of diverse parent for use in hybridization programme (Meshram and Yadav 2022).
The increased demand for sweet melons by consumers, requires a thorough research on selection and breeding of hundreds of cultivars belonging to numerous market types (Paris et al., 2012). The knowledge on genetic variability is a basic pre-requisite to develop high yielding varieties for a systematic breeding programme in melons. Wider the genetic variability more will be the chances of improvement through selection. However, the yield being a complex quantitative trait direct selection for yield may not result in successful crop improvement. Information on character association, direct and indirect effects of component traits on yield would greatly help in formulating the selection criteria and using them effectively in the crop improvement programme. Therefore, it is necessary to partition the observed variability into heritable and non-heritable components by calculating genetic parameters such as genotypic and phenotypic coefficient of variation, heritability and genetic advance. Further, yield is a complex trait and depended on other associated traits.
The present investigation was carried out by utilizing two representative melon lines, Kashi Madhu and IC321371, which belong to distinct botanical groups, chandalak and indicus, respectively. These contrasting parental lines were selected to generate genetic populations and to study inheritance of yield and related quantitative traits. The required hybrids and backcross generations were developed under polyhouse conditions at the Regional Horticultural Research and Extension Centre, University of Horticultural Sciences, GKVK campus, Bengaluru.
For ensuring reliability of results, the parental lines and F₁ hybrid were each replicated six times. Evaluation of the parental genotypes, F₁ hybrid, F₂ generation, and backcross progenies (BC₁P₁ and BC₁P₂) was subsequently undertaken under polyhouse conditions at a farmer’s field in Pavagada taluk, Tumakuru District, during the summer season of 2021. The experiment was laid out following the Augmented Block Design (ABD), which permitted efficient evaluation of a large number of genotypes along with repeated checks.
Observations were systematically recorded for fifteen key quantitative traits that are critical to growth, reproductive biology, fruit development, and yield performance. These included:
Days to first female flowering (DFF), an indicator of earliness;
Ovary length (OL) and ovary width (OW), reflecting initial fruit dimensions;
Days to fruit maturity (DFM), denoting crop duration;
Fruit length (FL) and fruit width (FW), representing fruit shape and size;
Flesh thickness (FT) and seed cavity (SC), which influence consumer preference and edible portion;
Seed length (SL) and seed width (SW), indicators of seed morphology;
Average fruit weight (AFW), an important yield determinant;
Total number of fruits per plant (TNF) and yield per plant (YLD), the direct measures of productivity;
Total soluble solids (TSS), reflecting sweetness and fruit quality; and
pH of fruit juice, associated with taste, storability, and consumer acceptability.
This comprehensive set of traits was chosen to capture both yield-contributing parameters and quality-related attributes, thereby facilitating a thorough understanding of genetic variability, heritability, and advance in the studied populations.
The details of the genetic variability and derived parameters are presented in Table 1. In F2 generation, high per cent of GCV and high per cent of PCV along with high estimates of heritability and high GAM recorded for the characters ovary length (21.68 %, 22.02 %, 96.98 % and 44.06 %, respectively), ovary width (21.41 %, 23.00 %, 86.68 % and 41.12 %), size of pistil scar (38.19 %, 49.86 %, 58.42 % and 60.22 %), seed cavity (21.57 %, 21.60 %, 99.80 % and 44.46 %), yield per plant (21.30 %, 23.93 %, 79.27 % and 39.13 %) and seed length (22.10 %, 22.47 %, 96.75 % and 44.46 %), whereas, moderate per cent of GCV and moderate per cent of PCV combined with high estimates of heritability and high GAM for the traits like leaf length (17.57 %, 18.35 %, 91.66 % and 34.70 %), leaf width (13.45 %, 14.34 %, 87.98 % and 26.03 %), fruit length (16.76 %, 19.74 %, 72.15 % and 29.38 %), fruit width (15.06 %, 17.43 %, 74.57 % and 26.82 %) and seed width (16.52 %, 17.66 %, 87.55 % and 44.85 %). The parameters flesh thickness, average fruit weight and TSS expressed moderate GCV (17.98 %, 19.91 % and 19.67 %), high per cent of PCV (20.31 %, 19.91 % and 19.67 %) along with high heritability (78.32 %, 92.65 % and 92.21 %) and high GAM (32.82 %, 39.54 % and 38.96 %). Days to first female flowering expressed low per cent of GCV (9.38 %), moderate PCV (10.43 %), high heritability (80.82 %) and moderate GAM (17.40 %). Days to first fruit maturity showed low GCV (4.97 %) and low per cent of PCV (5.77 %) along with high heritability (74.31 %) and low GAM (8.85 %). Moderate per cent of GCV (11.33 %) and high PCV (20.55 %) along with moderate estimates of heritability (30.38 %) and moderate GAM (12.88 %) recorded for total number of fruits per plant. The trait PH recorded low per cent of GCV (4.25 %), moderate PCV (14.25 %) along with low heritability (8.91 %) and GAM (2.62 %) (Table 1).
In BC1 (P1) generation, high per cent of GCV and high per cent of PCV along with high estimates of heritability and high GAM recorded for the characters ovary length (23.20 %, 24.09 %, 92.77 % and 46.11 %, respectively), size of pistil scar (27.66 %, 29.04 %, 90.72 % and 54.36 %), total number of fruits per plant (22.28 %, 22.28 %, 100.00 % and 45.97 %) and yield per plant (23.96 %, 24.03 %, 99.45 % and 49.30 %). Moderate per cent of GCV and PCV combined with high heritability and high GAM expressed for the traits leaf length (14.54 %, 16.50 %, 77365 % and 26.43 %), fruit length (11.82 %, 12.08 %, 95.72 % and 23.85 %), fruit width (11.33 %, 11.60 %, 95.47 % and 22.84 %), flesh thickness (15.86 %, 16.12 %, 96.79 % and 32.19 %), seed cavity (12.98 %, 13.55 %, 91.74 % and 25.65 %) and average fruit weight (18.28 %, 18.34 %, 99.35 5 and 37.58 %), whereas days to female flowering and days to fruit maturity expressed low per cent of GCV (8.89 % and 7.07 %) and low per cent of PCV (9.75 % and 7.36 %) along with high heritability (83.14 % and 92.35 %) and moderate GAM (16.71 % and 14.02 %). Ovary width recorded moderate GCV (10.31 %), PCV (17.55 %), heritability (34.46 %) and GAM (12.48 %). Leaf width showed low GCV (9.07 %), moderate PCV (13.54 %), moderate heritability (44.92 %) and moderate GAM (12.54 %). The trait TSS expressed moderate GCV (17.84 %), high PCV (20.61), high heritability (74.94 %) and high GAM (31.86 %). Low GCV (9.70 %), moderate PCV (12.46 %) along with high heritability (60.58 %) and moderate GAM (15.58 %) observed for the trait pH. The trait seed length exhibited low per cent of GCV (3.72 %), PCV (8.43 %), heritability (19.52 %) and GAM (3.39 %) (Table 1, Plate 1).
Table 1: Estimates of variability, heritability and genetic advance as per cent mean for quantitative traits in F2 and backcrosses derived from the inter-botanical cross Kashi Madhu x IC321371.
Characters | GCV (%) | PCV (%) | h2 (BS) | GA as % mean | |||||||||
F2 | BC1 (P1) | BC1 (P2) | F2 | BC1 (P1) | BC1 (P2) | F2 | BC1 (P1) | BC1 (P2) | F2 | BC1 (P1) | BC1 (P2) | ||
Days to first female flowering | 9.38 | 8.89 | 7.24 | 10.43 | 9.75 | 9.50 | 80.82 | 83.14 | 58.09 | 17.40 | 16.71 | 11.38 | |
Ovary length | 21.68 | 23.20 | 32.06 | 22.02 | 24.09 | 32.48 | 96.98 | 92.77 | 97.48 | 44.06 | 46.11 | 65.31 | |
Ovary width | 21.41 | 10.31 | 14.74 | 23.00 | 17.55 | 15.66 | 86.68 | 34.46 | 88.64 | 41.12 | 12.48 | 28.63 | |
Days to first fruit maturity | 4.97 | 7.07 | 3.93 | 5.77 | 7.36 | 5.20 | 74.31 | 92.35 | 57.00 | 8.85 | 14.02 | 6.12 | |
Fruit length | 16.76 | 11.82 | 15.55 | 19.74 | 12.08 | 16.00 | 72.15 | 95.72 | 94.39 | 29.38 | 23.85 | 31.16 | |
Fruit width | 15.06 | 11.33 | 14.07 | 17.43 | 11.60 | 14.28 | 74.57 | 95.47 | 97.15 | 26.82 | 22.84 | 28.61 | |
Flesh thickness | 17.98 | 15.86 | 13.45 | 20.31 | 16.12 | 20.77 | 78.32 | 96.79 | 41.93 | 32.82 | 32.19 | 17.97 | |
Seed cavity | 21.57 | 12.98 | 15.68 | 21.60 | 13.55 | 17.23 | 99.80 | 91.74 | 82.76 | 44.46 | 25.65 | 29.42 | |
Average fruit weight | 19.91 | 18.28 | 20.64 | 20.69 | 18.34 | 21.53 | 92.65 | 99.35 | 91.97 | 39.54 | 37.58 | 40.84 | |
Total number of fruits per plant | 11.33 | 22.28 | 12.04 | 20.55 | 22.28 | 21.24 | 30.38 | 100.00 | 32.12 | 12.88 | 45.97 | 14.07 | |
Yield per plant | 21.30 | 23.96 | 22.41 | 23.93 | 24.03 | 23.87 | 79.27 | 99.45 | 30.47 | 39.13 | 49.30 | 27.05 | |
Total soluble solids | 19.67 | 17.84 | 24.53 | 20.48 | 20.61 | 25.06 | 92.21 | 74.94 | 95.84 | 38.96 | 31.86 | 49.55 | |
pH | 4.25 | 9.70 | 14.30 | 14.25 | 12.46 | 16.22 | 8.91 | 60.58 | 77.63 | 2.62 | 15.58 | 25.98 | |
Seed length | 22.10 | 3.72 | 10.72 | 22.47 | 8.43 | 10.89 | 96.75 | 19.52 | 96.84 | 44.46 | 3.39 | 21.76 | |
Seed width | 16.52 | 5.10 | 16.86 | 17.66 | 16.83 | 20.32 | 87.55 | 9.19 | 68.89 | 44.85 | 3.19 | 28.87 | |
Cross-I = IC321367 x Arka Sheetal | Cross-II = Kashi Madhu x IC321371 | Cross- III = Kashi Madhu x IC632170 |
GCV = Genotypic coefficient of variation | PCV = Phenotypic coefficient of variation | h2 (BS) = Heritability broad sense |
GAM = Genetic advance as per cent mean | F2– F2 generation | BC1 (P1) – F1 backcross to parent 1 |
BC1 (P2) – F1 backcross to parent 2 |
Plate 1: Genetic variability in F₂ and backcross generations of Kashi Madhu × IC321371.
DISCUSSION
In the present study high GCV and PCV recorded for ovary length and width, seed cavity and yield per plant in F2 generation. In back cross generations i.e., BC1 (P1) and in BC1 (P2) of inter-botanical cross Kashi Madhu x IC321371 for total number of fruits per plant and yield per plant recorded high GCV and PCV. In other studies, high PCV and GCV recorded for average fruit weight and fruit yield per plant (Torkadi et al., 2007; Tomar et al., 2008; Choudhary et al., 2011; Bhimappa and Choudhry 2017; Kavya, 2017; Sachin, 2018; Chaitra, 2019, Indraja et al., 2021; Harsh and Pal 2022), number of fruits per plant, flesh thickness and TSS (Tomar et al., 2008; Chaitra, 2019; Indraja et al., 2021), ovary length, ovary width, fruit length, size of pistil scar, number of fruits per vine and yield per vine (Kavya, 2017; Chaitra, 2019) and acidity (Janghel et al., 2018).
High heritability and high GAM recorded for majority of the traits in the present study. These results are in line with other studies for fruit and yield traits (Kalloo et al., 1983; Hazem et al., 2024), average fruit weight (Singh and Lal, 2005), fruit length, fruit girth, 1000 seed weight, average fruit weight, keeping quality of fruit, flesh-cavity ratio and yield per plant (Rakhi and Rajmony 2005), fruit length, average fruit weight, fruit cavity length and TSS (Reddy et al., 2013), total number of fruits and TSS (Potekar et al., 2014; Janghel et al., 2018; Harsh and Pal 2022) and flesh thickness (Kadi and Sambhaj 2003). Other studies reported moderate heritability coupled with high genetic advance as per cent mean for fruit yield per plant in muskmelon (Singh and Lal 2005). Low heritability and genetic advance were noticed for days to fruiting by Janghel et al. (2018). Moderate heritability coupled with low genetic advance as per cent mean for days to first pistillate flowering was recorded (Torkadi et al., 2007; Bhimappa and Choudhary 2017; Indraja et al., 2021) in oriental picking melon (Ramana, 2000).
Future studies should focus on advancing the segregating generations to stabilize superior lines and validate additive effects, while incorporating molecular tools such as QTL mapping and marker-assisted selection to accelerate improvement. Traits governed by non-additive gene action, particularly earliness, may be better exploited through heterosis breeding. Multi-environment trials are also needed to assess genotype × environment interactions and identify stable, high-yielding genotypes. Additionally, expanding the scope to include quality and post-harvest attributes such as shelf-life, rind thickness, and aroma, along with the use of diverse germplasm, will strengthen breeding strategies and ensure market-oriented melon improvement.
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