Artificial intelligence in plant breeding.

IF 13.6 2区生物学 Q1 GENETICS & HEREDITY

Trends in Genetics Pub Date : 2024-08-07 DOI:10.1016/j.tig.2024.07.001

Muhammad Amjad Farooq, Shang Gao, Muhammad Adeel Hassan, Zhangping Huang, Awais Rasheed, Sarah Hearne, Boddupalli Prasanna, Xinhai Li, Huihui Li

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引用次数: 0

Abstract

Harnessing cutting-edge technologies to enhance crop productivity is a pivotal goal in modern plant breeding. Artificial intelligence (AI) is renowned for its prowess in big data analysis and pattern recognition, and is revolutionizing numerous scientific domains including plant breeding. We explore the wider potential of AI tools in various facets of breeding, including data collection, unlocking genetic diversity within genebanks, and bridging the genotype-phenotype gap to facilitate crop breeding. This will enable the development of crop cultivars tailored to the projected future environments. Moreover, AI tools also hold promise for refining crop traits by improving the precision of gene-editing systems and predicting the potential effects of gene variants on plant phenotypes. Leveraging AI-enabled precision breeding can augment the efficiency of breeding programs and holds promise for optimizing cropping systems at the grassroots level. This entails identifying optimal inter-cropping and crop-rotation models to enhance agricultural sustainability and productivity in the field.

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人工智能在植物育种中的应用。

利用尖端技术提高作物产量是现代植物育种的一个关键目标。人工智能（AI）因其在大数据分析和模式识别方面的能力而闻名于世，并正在为包括植物育种在内的众多科学领域带来变革。我们探讨了人工智能工具在育种各方面更广泛的潜力，包括数据收集、释放基因库中的遗传多样性，以及弥合基因型与表型之间的差距，以促进作物育种。这将有助于开发适合未来预期环境的作物栽培品种。此外，人工智能工具还能提高基因编辑系统的精度，预测基因变异对植物表型的潜在影响，从而有望完善作物性状。利用人工智能支持的精准育种可以提高育种计划的效率，并有望优化基层的种植系统。这就需要确定最佳的间作和轮作模式，以提高农业的可持续性和田间生产率。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Trends in Genetics 生物-遗传学

CiteScore

20.90

自引率

0.90%

发文量

160

审稿时长

6-12 weeks

期刊介绍： Launched in 1985, Trends in Genetics swiftly established itself as a "must-read" for geneticists, offering concise, accessible articles covering a spectrum of topics from developmental biology to evolution. This reputation endures, making TiG a cherished resource in the genetic research community. While evolving with the field, the journal now embraces new areas like genomics, epigenetics, and computational genetics, alongside its continued coverage of traditional subjects such as transcriptional regulation, population genetics, and chromosome biology. Despite expanding its scope, the core objective of TiG remains steadfast: to furnish researchers and students with high-quality, innovative reviews, commentaries, and discussions, fostering an appreciation for advances in genetic research. Each issue of TiG presents lively and up-to-date Reviews and Opinions, alongside shorter articles like Science & Society and Spotlight pieces. Invited from leading researchers, Reviews objectively chronicle recent developments, Opinions provide a forum for debate and hypothesis, and shorter articles explore the intersection of genetics with science and policy, as well as emerging ideas in the field. All articles undergo rigorous peer-review.

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