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用于水果和蔬菜作物改良的基因组选择:一项系统综述。

Genomic selection for crop improvement in fruits and vegetables: a systematic scoping review.

作者信息

Lee Adrian Ming Jern, Foong Melissa Yuin Mern, Song Beng Kah, Chew Fook Tim

机构信息

Department of Biological Sciences, National University of Singapore, 14 Science Drive 4, Singapore, 117543 Republic of Singapore.

NUS Agritech Centre, National University of Singapore, 85 Science Park Dr, #01-03, Singapore, 118258 Republic of Singapore.

出版信息

Mol Breed. 2024 Sep 11;44(9):60. doi: 10.1007/s11032-024-01497-2. eCollection 2024 Sep.

DOI:10.1007/s11032-024-01497-2
PMID:39267903
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11391014/
Abstract

UNLABELLED

To ensure the nutritional needs of an expanding global population, it is crucial to optimize the growing capabilities and breeding values of fruit and vegetable crops. While genomic selection, initially implemented in animal breeding, holds tremendous potential, its utilization in fruit and vegetable crops remains underexplored. In this systematic review, we reviewed 63 articles covering genomic selection and its applications across 25 different types of fruit and vegetable crops over the last decade. The traits examined were directly related to the edible parts of the crops and carried significant economic importance. Comparative analysis with WHO/FAO data identified potential economic drivers underlying the study focus of some crops and highlighted crops with potential for further genomic selection research and application. Factors affecting genomic selection accuracy in fruit and vegetable studies are discussed and suggestions made to assist in their implementation into plant breeding schemes. Genetic gain in fruits and vegetables can be improved by utilizing genomic selection to improve selection intensity, accuracy, and integration of genetic variation. However, the reduction of breeding cycle times may not be beneficial in crops with shorter life cycles such as leafy greens as compared to fruit trees. There is an urgent need to integrate genomic selection methods into ongoing breeding programs and assess the actual genomic estimated breeding values of progeny resulting from these breeding programs against the prediction models.

SUPPLEMENTARY INFORMATION

The online version contains supplementary material available at 10.1007/s11032-024-01497-2.

摘要

未标注

为确保不断增长的全球人口的营养需求,优化水果和蔬菜作物的生长能力及育种价值至关重要。虽然基因组选择最初应用于动物育种,具有巨大潜力,但其在水果和蔬菜作物中的应用仍未得到充分探索。在本系统综述中,我们回顾了过去十年间63篇涵盖基因组选择及其在25种不同类型水果和蔬菜作物中的应用的文章。所研究的性状与作物的可食用部分直接相关,具有重要经济意义。与世界卫生组织/联合国粮食及农业组织数据的比较分析确定了某些作物研究重点背后的潜在经济驱动因素,并突出了具有进一步基因组选择研究和应用潜力的作物。讨论了影响水果和蔬菜研究中基因组选择准确性的因素,并提出了有助于将其应用于植物育种方案的建议。通过利用基因组选择提高选择强度、准确性和遗传变异整合,可以提高水果和蔬菜的遗传增益。然而,与果树相比,缩短育种周期时间对于叶菜类等生命周期较短的作物可能并无益处。迫切需要将基因组选择方法整合到正在进行的育种计划中,并根据预测模型评估这些育种计划产生的后代的实际基因组估计育种值。

补充信息

在线版本包含可在10.1007/s11032-024-01497-2获取的补充材料。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e2f0/11391014/d3a786127746/11032_2024_1497_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e2f0/11391014/2d16cc23ead5/11032_2024_1497_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e2f0/11391014/2a33ab442717/11032_2024_1497_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e2f0/11391014/7ac58a27ca00/11032_2024_1497_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e2f0/11391014/d3a786127746/11032_2024_1497_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e2f0/11391014/2d16cc23ead5/11032_2024_1497_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e2f0/11391014/2a33ab442717/11032_2024_1497_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e2f0/11391014/7ac58a27ca00/11032_2024_1497_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e2f0/11391014/d3a786127746/11032_2024_1497_Fig4_HTML.jpg

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