Variability, interrelationship and path coefficient studies in watermelon

Nisha, Sofina; Sreelathakumary, I.; Celine, V.A.

doi:10.5958/0974-0112.2018.00103.2

Cited by 5 publications

(7 citation statements)

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“…In the present study individual fruit weight (0.592) and number of fruits (0.437) were the key contributors to the watermelon yield in the current study (Table 2). This concurs with other studies which noted that genotypes with numerous and heavier fruits had greater yield (Nisha et al, 2018;Correa et al, 2020). Yield in watermelon is dependent on the weight and number of fruits produced per unit area.…”

Section: Discussionsupporting

confidence: 92%

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Genetic analysis of yield related traits in landrace × commercial watermelon hybrids

Nyurura

Maphosa

2022

J Sci Agri

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Watermelon [Citrullus lanatus var lanatus L.] is a major xerophytic crop originating in Africa especially grown in subtropical and tropical parts of the world. However, few adapted varieties are available to promote greater yield and make watermelon a viable commercial crop of choice. Path analysis and combining ability was carried out for yield related traits among three popular local landraces; Landrace1, Landrace 2 and Landrace 3 collected in Zimbabwe and three commercial watermelon varieties ‘Congo’, ‘Charleston Grey’ and ‘Crimson Sweet’ in plots arranged in an RCBD replicated 3 times. A complete diallel mating design was used to generate 36 F1 genotypes which together with the parents were evaluated for several quantitate traits. Data on correlations, path analysis, GCA and SCA between fruit yield and other traits were computed using Microsoft Excel and GenStat 17. Individual fruit weight (FIW) and the number of fruits per plant (NF) were found to be significantly linked with final fruit yield. Significant positive correlations were also observed on NF and number of female flowers (NFF), number of vines (NV), and FIW and these traits could be recommended as reliable selection indicators for creating high yielding watermelon genotypes. Path analysis showed that FIW and NF were the most important contributors to watermelon yield. GCA and SCA effects were significant and positive for yield which indicates that the traits are controlled by both additive and non-additive genes. ‘Crimson Sweet’ and ‘Landrace 1’ were the best pollen sources whereas ‘Landrace 1’ and ‘Landrace 2’ were the highest yielders when used as female parents. Overall, results from this study identified usable yield related proxies and need to incorporate local landraces germplasm in watermelon improvement.

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Section: Discussionsupporting

confidence: 92%

“…Such a negative association between watermelon yield and days to maturity was also found by Nisha et al (2018). The number of female flowers and number of vines (0.291 and 0.215 respectively) had positive significant indirect effects on yield via number of fruits.…”

Section: Discussionmentioning

confidence: 53%

Genetic analysis of yield related traits in landrace × commercial watermelon hybrids

Nyurura

Maphosa

2022

J Sci Agri

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“…e content of vitamins A and C was not significantly correlated in all tested characteristics, while TSS had a significant positive correlation with fruit length (Table 6). Selection will be more effective if there is a correlation between the characteristics to be selected [66], where an increase in a character will be followed by an increase or decrease in another character. e results showed that the content of vitamins A and C was not significantly correlated with all observed characteristics, while TSS was significantly correlated with fruit length.…”

Section: Correlation Between Quantitative Characteristicsmentioning

confidence: 99%

Assessment of Genetic Parameters for Vitamin A, Vitamin C, and TSS Content Results in Melon Line Crosses at Five Maturity Stages

Amzeri

Badami

Zuhri

et al. 2022

International Journal of Agronomy

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Melon breeding is directed at improving the quality of the fruit needed to meet consumers' demands. e assessment of hybrid melon candidates on important characteristics (vitamin A, vitamin C, and TSS) at ve maturity stages is needed to get hybrid melon varieties with good fruit quality and determine the right harvest time. is study aimed to evaluate the genetic parameters of vitamin A, vitamin C, and TSS contents of D-612 × PK-669 and PK-361 × PK-165 crossings at ve stages of maturity. e study used a randomized complete block design (RCBD) with eight genotypes as treatment and three replications, so there were 24 experimental units.e eight melon genotypes were G 1 = D-612 × PK-669, G 2 = PK-669 × D-612, G 3 = D-612, G 4 = PK-669, G 5 = PK-361 × PK-165, G 6 = PK-165 × PK-361, G 7 = PK-361, and G 8 = PK-165. e content of vitamin A, vitamin C, and TSS was observed at ve maturity stages, namely, at 55 DAP, 60 DAP, 65 DAP, 70 DAP, and 75 DAP. e right harvest time for the eight genotypes tested was maturity stage 4 (70 DAP) because it had the highest vitamin A, vitamin C, and TSS contents compared to other maturity stages. e inheritance of vitamin A and C content was not a ected by the maternal e ect, while TSS was in uenced by the maternal e ect. e vitamin A, vitamin C, and TSS content characteristics had higher phenotypic diversity coe cients than genetic diversity coe cients, while heritability values in the broad sense for the three melon genotypic characteristics ranged from 0.613 to 0.968. Crosses of PK-165 × PK-361 can be used to assemble hybrid melon varieties that have high vitamin A, vitamin C, and TSS contents because they have positive values for heterosis and heterobeltiosis for the three characteristics.

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“…Days to emergence of first pistillate flower had significant genotypic and phenotypic positive correlation with the traits petiole length, vine length, days to emergence of first staminate flower, days taken to fruit maturity and TSS, while significant negative correlation with blooming period, fruit diameter and seed width. Nisha et al (2018) and Bhagyalekshmi et al ( 2020) also found positive interrelationship of vine length and days taken to fruit maturity with days to emergence of first pistillate flower. Significant negative association of days emergence of first pistillate flower with fruit diameter was also reported by Mohosina et al (2020).…”

Section: Correlation Coefficient Analysismentioning

confidence: 88%

Genetic variability and correlation studies in various genotypes of watermelon [Citrullus lanatus (Thunb.) Mansf.]

Singh¹,

Kumar²,

Archana³

et al. 2022

jae

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The study was conducted to determine genetic variability and correlation involving 21 watermelon genotypes in a randomized block design with three replications. A considerable amount of variability was observed for qualitative and quantitative traits. Maximum phenotypic and genotypic variability was recorded for the seediness, followed by pericarp thickness and fruit weight. Most of the characters except cotyledon size, leaf blade ratio, emergence of first male flower, emergence of first female flower, days taken to fruit maturity, blooming period and seed length exhibited high estimates of heritability coupled with the high estimates of genetic advance. Number of fruits per vine had significant genotypic and phenotypic positive correlation with the traits leaf blade length, internodal length, number of primary branches and number of secondary branches. Based on yield and yield contributing characters, the genotypes viz., VRW-14, VRW-12, VRW- 20 and VRW-17 were found promising for future improvement programme.

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Variability, interrelationship and path coefficient studies in watermelon

Cited by 5 publications

References 0 publications

Genetic analysis of yield related traits in landrace × commercial watermelon hybrids

Genetic analysis of yield related traits in landrace × commercial watermelon hybrids

Assessment of Genetic Parameters for Vitamin A, Vitamin C, and TSS Content Results in Melon Line Crosses at Five Maturity Stages

Genetic variability and correlation studies in various genotypes of watermelon [Citrullus lanatus (Thunb.) Mansf.]

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