Combining Ability Analysis of Yield Components in Cucumber

López-Sesé, Ana I.; Staub, Jack E.

doi:10.21273/jashs.127.6.931

Cited by 13 publications

(8 citation statements)

References 14 publications

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“…The relatively small deviation of predictability factor from unity observed in this study indicates the importance of additive gene action for the genetic control of number of fruits per plant suggesting that cyclic selection should be effective for improving number of fruits per plant. Lopez-Sese and Staub (2002) reported that fruit number was under the genetic control of both additive and dominant gene actions. Sarkar and Sirohi (2011) also reported the overdominant gene action for the genetic control of fruit number per plant and suggested heterosis breeding for achieving higher yields in cucumber.…”

Section: Discussionmentioning

confidence: 99%

“…Improving fruit yield requires adequate information regarding the nature of GCA and SCA available in a wide array of genetic materials to be used in hybridization programmes. Several authors have used different genetic analyses to study combining ability in cucumber for fruit yield and yield components (Lopez-Sese and Staub, 2002;Xing Fang et al, 2004;Munshi et al, 2006;Mule et al, 2011;Sarkar and Sirohi, 2011;Singh et al, 2011;Olfati et al, 2012;Ene et al, 2018) and gynoecious sex expression (Wahid et al, 2003;Staub et al, 2005;Dey et al, 2010;Singh et al, 2011;Pati et al, 2015). Combining ability studies have been conducted by Adel and Ali (2013) Golabadi et al (2015) and Ene et al (2018), but these authors used elite parental lines to make crosses.…”

Section: Introductionmentioning

confidence: 99%

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Exploiting combining ability in a diallel cross between native and elite cucumber (Cucumis sativus L.) varieties

Manggoel¹,

Uguru²,

Ogbonna³

et al. 2021

J. Plant Breed. Crop Sci.

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F 1 progenies derived from a set of diallel crosses involving native and 5 elite cucumber varieties were evaluated in a randomized complete block design (RCBD) with three replications to study combining ability for some important agronomic traits. The analysis of variance revealed that the mean squares due to genotypes were significant for the traits studied, indicating wide diversity among the parents. Mean squares for general combining ability (GCA) and specific combining ability (SCA) were significant, implying both additive and non-additive genetic system controlling the studied traits. Significant GCA values were recorded by the native variety (Odukpani) for vegetative traits, fruit girth and average fruit weight. Low GCA values were recorded for days to flowering by the elite varieties, implying they are negative combiners for early flower influx. GCA for number of pistillate flowers and number of fruits per plant were positive and significant for the elite varieties, indicating they could be exploited in cucumber breeding programmes for improved female flower production. The high mean values for vegetative traits and days to flowering of the progenies arising from crosses with Odukpani as the maternal parent appear to suggest cytoplasmic influence in the inheritance of the traits.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Exploiting combining ability in a diallel cross between native and elite cucumber (Cucumis sativus L.) varieties

Manggoel¹,

Uguru²,

Ogbonna³

et al. 2021

J. Plant Breed. Crop Sci.

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“…Golabadi et al [2015] reported the predominant role of additive gene action for the genetic control of fruit number per picking, which agrees well with the present results. Previous studies reported the significance of both additive and dominant gene actions for the genetic control of fruit number per picking [Kanobdee et al 1990, Lopez-Sese andStaub 2002]. Sarkar and Sirohi [2011] also reported the over-dominance of gene action for the genetic control of fruit number per plant.…”

Section: Fruit Number Per Pickingmentioning

confidence: 99%

“…Different genetic analyses have been conducted to study the combining ability in cucumber for fruit yield and its components [Munshi et al 2006, Mule et al 2011, Sarkar and Sirohi 2011, Singh et al 2011, Golabadi et al 2015 using such different genetic designs as diallel and NCD. Studies have been conducted on some economically important traits of cucumber including fruit yield and its components [Lopez-Sese et al 2002, Dogra and Kanwar 2011, Jagesh et al 2013, Golabadi et al 2015. Gulam-ud-Din et al [2002] evaluated the combining ability of 12 different traits in cucumber by line × tester analysis.…”

Section: Introductionmentioning

confidence: 99%

Estimation of Gene Action for Fruit Yield and Morphological Traits in Greenhouse Cucumber by Mating Designs

Golabadi

Golkar

Erċışlı

2017

Acta sci. Pol. Hortorum Cultus

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In this study, gene action, genetic variances (δ 2 A and δ 2 D), and combining abilities were estimated for fruit related traits using North Carolina Design ІІ (NCD ІІ) for ten different parental genotypes of greenhouse cucumber. This experiment was performed over a two-year period from 2014 to 2015. The variance components of male, female, and male × female were found to be significant for all the studied traits in a combined analysis of variance. Genetic component analysis showed that fruit diameter, fruit length, total fruit weight, fruit number in early picking and fruit number per node were predominantly under the additive gene action, but internode length and plant height were under the dominance of gene action. Male × female × environment interaction was significant for total fruit weight. The highest general combining ability (GCA) effect for total fruit yield was observed in Zohal (male parent) and YaldaR2 (female parent) genotypes. GCA estimation revealed that male parent of Adrian 4510 provided good general combiners for total fruit number. Specific combining ability (SCA) estimation determined the suitability of Janeete × Adrian 4510. Salar hybrid exhibited higher positive SCA effects for total fruit yield and total fruit number in early picking.

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“…Combining ability estimation has always been an important content in plant breeding, which provides a valuable reference for the breeding of inbreds and hybrids (Lv et al, 2012 ). There are some studies on combining ability estimation in cucumber breeding (López-Sesé and Staub, 2002 ; Golabadi et al, 2015 ; Ene et al, 2019 ), where rigorous field experimental design and phenotypic variance decomposition were used to estimate GCA and SCA. In these studies, SCA has a substantial contribution to some traits.…”

Section: Discussionmentioning

confidence: 99%

Genomic Prediction and the Practical Breeding of 12 Quantitative-Inherited Traits in Cucumber (Cucumis sativus L.)

Liu

Han

et al. 2021

Front. Plant Sci.

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Genomic prediction is an effective way for predicting complex traits, and it is becoming more essential in horticultural crop breeding. In this study, we applied genomic prediction in the breeding of cucumber plants. Eighty-one cucumber inbred lines were genotyped and 16,662 markers were identified to represent the genetic background of cucumber. Two populations, namely, diallel cross population and North Carolina II population, having 268 combinations in total were constructed from 81 inbred lines. Twelve cucumber commercial traits of these two populations in autumn 2018, spring 2019, and spring 2020 were collected for model training. General combining ability (GCA) models under five-fold cross-validation and cross-population validation were applied to model validation. Finally, the GCA performance of 81 inbred lines was estimated. Our results showed that the predictive ability for 12 traits ranged from 0.38 to 0.95 under the cross-validation strategy and ranged from −0.38 to 0.88 under the cross-population strategy. Besides, GCA models containing non-additive effects had significantly better performance than the pure additive GCA model for most of the investigated traits. Furthermore, there were a relatively higher proportion of additive-by-additive genetic variance components estimated by the full GCA model, especially for lower heritability traits, but the proportion of dominant genetic variance components was relatively small and stable. Our findings concluded that a genomic prediction protocol based on the GCA model theoretical framework can be applied to cucumber breeding, and it can also provide a reference for the single-cross breeding system of other crops.

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Combining Ability Analysis of Yield Components in Cucumber

Cited by 13 publications

References 14 publications

Exploiting combining ability in a diallel cross between native and elite cucumber (Cucumis sativus L.) varieties

Exploiting combining ability in a diallel cross between native and elite cucumber (Cucumis sativus L.) varieties

Estimation of Gene Action for Fruit Yield and Morphological Traits in Greenhouse Cucumber by Mating Designs

Genomic Prediction and the Practical Breeding of 12 Quantitative-Inherited Traits in Cucumber (Cucumis sativus L.)

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