<i>Cucumis sativus</i>Chromosome Evolution, Domestication, and Genetic Diversity

Weng, Yiqun

doi:10.1002/9781119717003.ch4

Cited by 25 publications

(26 citation statements)

References 93 publications

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“…The results show that for all investigated traits, the SCA (dominance effect) only accounts for a small part of the total variance (1.2–14.9%), and the GCA accounts for the main part of the total variance (20.4–81.4%). Besides, in actual breeding practice, the heterosis of cucumber is not obvious in most cases (Weng, 2021 ), indicating that the proportion of non-additive effects (SCA) is low. Therefore, the GCA models in this study may be more accurate in combining ability estimation compared with traditional methods.…”

Section: Discussionmentioning

confidence: 99%

“…The genomic prediction could perform large-scale accurate prediction with a smaller training group, which improves the selection efficiency significantly and meet the increasing demand for breeding tasks. Besides, the cucumber genome is relatively small (~400 Mbp) (Weng, 2021 ), and fewer molecular markers can achieve high marker density, which is an advantage of low cost for genomic prediction applied to cucumber breeding.…”

Section: Discussionmentioning

confidence: 99%

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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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Section: Discussionmentioning

confidence: 99%

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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“…Cucumbers in east Asia, which are eaten fresh, typically have very long fruits (40-50 cm). Three major market classes, north China, south China, and Japanese, vary in appearance (warts, ribs), flavor, and crispness [19,46,47]. A semiwild botanical variety of cucumber, C. sativus L. var.…”

Section: Cucumber (Cucumis Sativus)mentioning

confidence: 99%

“…A semiwild botanical variety of cucumber, C. sativus L. var. xishuangbannanesis, is also cultivated in some subtropical parts of Asia (southwest China, Thailand, Laos, Myanmar) [47][48][49]. Xishuangbannanesis, which exhibits some unique traits including very large fruits (up to 5 kg), and orange flesh color due to accumulation of β-carotene, is eaten both immature and mature.…”

Section: Cucumber (Cucumis Sativus)mentioning

confidence: 99%

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Genetic Resources and Vulnerabilities of Major Cucurbit Crops

Grumet

McCreight

McGregor

et al. 2021

Genes

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The Cucurbitaceae family provides numerous important crops including watermelons (Citrullus lanatus), melons (Cucumis melo), cucumbers (Cucumis sativus), and pumpkins and squashes (Cucurbita spp.). Centers of domestication in Africa, Asia, and the Americas were followed by distribution throughout the world and the evolution of secondary centers of diversity. Each of these crops is challenged by multiple fungal, oomycete, bacterial, and viral diseases and insects that vector disease and cause feeding damage. Cultivated varieties are constrained by market demands, the necessity for climatic adaptations, domestication bottlenecks, and in most cases, limited capacity for interspecific hybridization, creating narrow genetic bases for crop improvement. This analysis of crop vulnerabilities examines the four major cucurbit crops, their uses, challenges, and genetic resources. ex situ germplasm banks, the primary strategy to preserve genetic diversity, have been extensively utilized by cucurbit breeders, especially for resistances to biotic and abiotic stresses. Recent genomic efforts have documented genetic diversity, population structure, and genetic relationships among accessions within collections. Collection size and accessibility are impacted by historical collections, current ability to collect, and ability to store and maintain collections. The biology of cucurbits, with insect-pollinated, outcrossing plants, and large, spreading vines, pose additional challenges for regeneration and maintenance. Our ability to address ongoing and future cucurbit crop vulnerabilities will require a combination of investment, agricultural, and conservation policies, and technological advances to facilitate collection, preservation, and access to critical Cucurbitaceae diversity.

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Importance, Distribution, Botany and Genetics

Pandey

Kujur

2021

Compendium of Plant Genomes

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Cucumis sativusChromosome Evolution, Domestication, and Genetic Diversity

Cited by 25 publications

References 93 publications

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

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

Genetic Resources and Vulnerabilities of Major Cucurbit Crops

Importance, Distribution, Botany and Genetics

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