Evidence map›Paper›PMID 31728564›Full record

ReviewTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2020

Genome-based breeding approaches in major vegetable crops.

Ning Hao, Deguo Han, Ke Huang, Yalin Du, Jingjing Yang, Jian Zhang, Changlong Wen, Tao Wu

Abstract readReview
PubMed Publisher
In one paragraph

Review in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

  1. EnhancedPlants (Basel, Switzerland) · 2025
    Article
  2. Review
  3. Article
  4. Overexpression of aInternational journal of molecular sciences · 2025
    Article
  5. Development of a genome-wide marker design workflow for onions and its application in target amplicon sequencing-based genotyping.DNA research : an international journal for rapid publication of reports on genes and genomes · 2022
    Article
  6. Review
  7. Genetics as a key to improving crop photosynthesis.Journal of experimental botany · 2022
    Article
  8. Chile Pepper (Frontiers in plant science · 2022
    Review
  9. Review
  10. Molecular research progress and improvement approach of fruit quality traits in cucumber.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2021
    Review
  11. Review
  12. Crop genetics research in Asia: improving food security and nutrition.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2020
    Article
  13. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Ning HaoCollege of Horticulture and Landscape, Hunan Agricultural University, Changsha, 410128, China.
Deguo HanCollege of Horticulture and Landscape, Northeast Agricultural University, Harbin, 150030, China.
Ke HuangCollege of Horticulture and Landscape, Hunan Agricultural University, Changsha, 410128, China.
Yalin DuCollege of Horticulture and Landscape, Hunan Agricultural University, Changsha, 410128, China.
Jingjing YangBeijing Vegetable Research Center (BVRC), Beijing Academy of Agricultural and Forestry Sciences, National Engineering Research Center for Vegetables, Beijing, 100097, China.
Jian ZhangBeijing Vegetable Research Center (BVRC), Beijing Academy of Agricultural and Forestry Sciences, National Engineering Research Center for Vegetables, Beijing, 100097, China.
Changlong WenBeijing Vegetable Research Center (BVRC), Beijing Academy of Agricultural and Forestry Sciences, National Engineering Research Center for Vegetables, Beijing, 100097, China. wenchanglong@nercv.org.
Tao WuCollege of Horticulture and Landscape, Hunan Agricultural University, Changsha, 410128, China. wutao@hunau.edu.cn.ORCID http://orcid.org/0000-0001-5595-8644

Funding

Beijing Municipal National Science Foundation 6172014National Natural Science Foundation of China 31701934National Natural Science Foundation of China 31801887National Natural Science Foundation of China 31972407National Natural Science Foundation of China 31972429The National Key Research and Development Program of China 2018YFD1000800
6 · The paper itself

Abstract

Vegetable crops are major nutrient sources for humanity and have been well-cultivated since thousands of years of domestication. With the rapid development of next-generation sequencing and high-throughput genotyping technologies, the reference genome of more than 20 vegetables have been well-assembled and published. Resequencing approaches on large-scale germplasm resources have clarified the domestication and improvement of vegetable crops by human selection; its application on genetic mapping and quantitative trait locus analysis has led to the discovery of key genes and molecular markers linked to important traits in vegetables. Moreover, genome-based breeding has been utilized in many vegetable crops, including Solanaceae, Cucurbitaceae, Cruciferae, and other families, thereby promoting molecular breeding at a single-nucleotide level. Thus, genome-wide SNP markers have been widely used, and high-throughput genotyping techniques have become one of the most essential methods in vegetable breeding. With the popularization of gene editing technology research on vegetable crops, breeding efficiency can be rapidly increased, especially by combining the genomic and variomic information of vegetable crops. This review outlines the present genome-based breeding approaches used for major vegetable crops to provide insights into next-generation molecular breeding for the increasing global population.

Indexed as

Genome, PlantQuantitative Trait LociCrops, AgriculturalGenomicsPhenotypePlant BreedingVegetables

Identifiers

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.