Genotypic variation of Kenyan tomato (Lycopersicon esculentum L.) germplasm

Agong, Stephen Gaya; Schittenhelm, Siegfried; Friedt, W.

doi:10.4314/jfta.v6i1.19277

Cited by 42 publications

(37 citation statements)

References 4 publications

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“…Finally fruit yield was positively significant associated with fruits per plant, fruit weight, fruit diameter and locule number per fruit. Similar result shave also been reported by Agong et al (2008), Haydar et al (2007), Mohanty (2003), Harer et al(2003), Mohanty (2002a), Mohanty (2002b) intomato.…”

Section: Resultssupporting

confidence: 78%

Variability and inter relationship studies in tomato (Solanum lycopersicum L.)

Ullah

Hassan

Shahid

et al. 2016

J Bangladesh Agric Univ

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Twenty parental genotypes of tomato were planted and observed of yield and yield attributing traits to measure genetic variability, character association and path coefficient analysis. Parent TM 371 ranked first with respect to yield (4.73 kg fruit yield per plant) followed by TM 390. In terms of average fruit weight TM 390 also was better performer. Analysis of variance for each trait showed significant differences among the genotypes. High genotypic and phenotypic coefficients of variation were recorded for fruits per plant, locule number per fruit and fruit yield per plant. Heritability was observed high for flowers per cluster, fruits per plant, fruit weight and fruit length. fruit per plant (52.30), followed by fruit weight (46.32).High heritability associated with high genetic advance was observed for fruits per plant (52.30) and fruit weight (46.32) and flower per cluster (33.50). Selection for such traits might be effective for the fruit yield improvement of tomato. Significant positive genotypic and phenotypic correlation was observed of fruits per plant, fruit weight, fruit diameter and locule number per fruit with fruit yield per plant indicated that selection strategies must be focus on these traits. Fruit diameter showed the highest positive direct effect (3.25) on fruit yield per plant followed by fruits per plant (1.54). Direct selection may be executed considering these traits as the main selection criteria to reduce indirect effect of the other characters during the development of high yielding tomato variety.

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Section: Resultssupporting

confidence: 78%

Variability and inter relationship studies in tomato (Solanum lycopersicum L.)

Ullah

Hassan

Shahid

et al. 2016

J Bangladesh Agric Univ

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“…Additionally, the findings further suport what had been reported by several other authors including Turhan et al (2011);Abrar et al (2011) andEshteshabul et al (2010) that the mean number of fruits per plant lay between 4.46 and 98.30. However, a value between 9.70 and 158.90 had been reported by Agong et al (2001) although Lemma (2002) indicated a range between 26 and 62. Yields obtain from crops might be attributed to better genetic structure variations among them and the possibility of possession of higher stomata conductance, better partitioning of photosynthetic materials towards economic yield, and higher potential to transport photosynthetic materials within plants.…”

Section: Mean Performance Of Yield and Yield Components Of Eight Tomamentioning

confidence: 97%

Evaluation of Tomato (Solanum lycopersicum L.) Genotypes for Horticultural Characteristics on the Upland in Southern Sierra Leone

Kanneh¹,

Quee²,

Ngegba³

et al. 2017

JAS

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Notwithstanding the importance of tomato in human diet, the average yield of the crop in Africa hardily exceeds 7.5 tha -1 . There is continuous unavailability of high yielding cultivars that are adapted to diverse environment and suitable for different purposes. Consequently, evaluation of introduced tomato genotypes for desired horticultural characteristics to identify superior genotypes for additional improvement in yield and yield related traits is indispensible. Hence eight tomato (Solanum lycopersicum L.) genotypes including parental were field planted in a randomized complete block design with three replications at the Department of Horticulture Nursery Unit, School of Natural resources Management, Njala University, Njala Campus, Moyamba District, Southern Sierra Leone to evaluate them for good horticultural traits. Data collected include plant height at 50% and 100% flowering, stem girth at 50% and 100% flowering, days to first, 50% and 100% flowering, days to maturity, number of fruits set per plant, number of fruits harvested per plant, average fruit weights, fruit length, fruit diameter, fruit flesh thickness, locule number, marketable and nonmarketable fruits per plant. Results from the study indicated that all genotypes studied are adaptable to the Sierra Leone climatic conditions. P 1 (097) recorded the highest number of fruits set per plant, number of fruits harvested per plant and tallest and largest plant height and stem girth at 100% flowering. BC 2 F 2 had the highest locule number while R 3 P 9 had the heaviest fruit weight. P 2 (213) had the thickest fruit flesh thickness and longest duration to fruit maturity respectively while P 1 (097), BC 1 F 2 and R 3 P 9 had the same number of shortest days to maturity. Regarding fruit length and diameter, R 3 P 8 and R 6 P 6 had the longest and widest. With respects to marketable and nonmarketable fruit per plant, P 1 (097) recorded the highest correspondingly.

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“…Genetic parameters like the genotypic coefficient of variation (GCV), phenotypic coefficient of variation (PCV), heritability and genetic advance (GA) are useful biometric tools for measuring genetic variability (Aditya et al, 2011). Hence, characterising the genetic background of rice and determining breeding values should be done before carrying out any improvement programme (Agong et al, 2001). Yield is a complex polygenic character, resulting from multiple interactions between many yield contributing traits.…”

Section: Introductionmentioning

confidence: 99%

Genetic variability analysis for various yield attributing traits in rice genotypes

Rashid

Nuruzzaman

Hassan

et al. 2017

J Bangladesh Agric Univ

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An experiment was conducted using a randomized complete block design to estimate genetic variability of ten rice genotypes. Analysis of variance for yield and yield contributing traits showed significant (p<0.01) variation among the genotypes. Results of genetic analyses showed a higher phenotypic coefficient of variation compared to their corresponding genotypic coefficient of variation for all the traits measured, which indicates that the traits were influenced by environment. The magnitude of difference between phenotypic coefficient of variance (PCV) and genotypic coefficient of variance (GCV) was less for the traits indicating little influence of environment. The higher estimates of PCV and GCV were observed for number of filled grains panicle -1 (27.53; 26.84), number of unfilled grains panicle -1 (26.76;25.28) and plant height (23.14; 23.00) indicates possibility of genetic improvement through direct selection for these traits, while days to 50% flowering, days to maturity, panicle length, number of effective tillers plant -1 , fertility (%), 1000 Seed weight and yield panicle -1 showed low PCV and GCV values indicating the need for creation of variability by hybridization or mutation followed by selection. High heritability values (>60%) along with high genetic advance and genetic advance as percentage of mean were found for all the traits indicating prevalence of additive gene action, which provides good scope for further improvement by selection.

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Genotypic variation of Kenyan tomato (Lycopersicon esculentum L.) germplasm

Cited by 42 publications

References 4 publications

Variability and inter relationship studies in tomato (Solanum lycopersicum L.)

Variability and inter relationship studies in tomato (Solanum lycopersicum L.)

Evaluation of Tomato (Solanum lycopersicum L.) Genotypes for Horticultural Characteristics on the Upland in Southern Sierra Leone

Genetic variability analysis for various yield attributing traits in rice genotypes

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