dc.creatorYunbi Xu
dc.creatorXiaogang Liu
dc.creatorJunjie Fu
dc.creatorHongwu Wang
dc.creatorJiankang Wang
dc.creatorChangling Huang
dc.creatorPrasanna, B.M.
dc.creatorOlsen, M.
dc.creatorGuoying Wang
dc.creatorAimin Zhang
dc.date2021-02-05T18:03:13Z
dc.date2021-02-05T18:03:13Z
dc.date2020
dc.date.accessioned2023-07-17T20:06:58Z
dc.date.available2023-07-17T20:06:58Z
dc.identifierhttps://hdl.handle.net/10883/21236
dc.identifier10.1016/j.xplc.2019.100005
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/7513022
dc.descriptionAlthough long-term genetic gain has been achieved through increasing use of modern breeding methods and technologies, the rate of genetic gain needs to be accelerated to meet humanity's demand for agricultural products. In this regard, genomic selection (GS) has been considered most promising for genetic improvement of the complex traits controlled by many genes each with minor effects. Livestock scientists pioneered GS application largely due to livestock's significantly higher individual values and the greater reduction in generation interval that can be achieved in GS. Large-scale application of GS in plants can be achieved by refining field management to improve heritability estimation and prediction accuracy and developing optimum GS models with the consideration of genotype-by-environment interaction and non-additive effects, along with significant cost reduction. Moreover, it would be more effective to integrate GS with other breeding tools and platforms for accelerating the breeding process and thereby further enhancing genetic gain. In addition, establishing an open-source breeding network and developing transdisciplinary approaches would be essential in enhancing breeding efficiency for small- and medium-sized enterprises and agricultural research systems in developing countries. New strategies centered on GS for enhancing genetic gain need to be developed.
dc.formatpdf
dc.languageEnglish
dc.publisherElsevier
dc.relationhttps://www.sciencedirect.com/science/article/pii/S2590346219300057?via%3Dihub#appsec2
dc.rightsOpen Access
dc.rightsCIMMYT manages Intellectual Assets as International Public Goods. The user is free to download, print, store and share this work. In case you want to translate or create any other derivative work and share or distribute such translation/derivative work, please contact CIMMYT-Knowledge-Center@cgiar.org indicating the work you want to use and the kind of use you intend; CIMMYT will contact you with the suitable license for that purpose.
dc.source1
dc.source1
dc.source2590-3462
dc.sourcePlant Communications
dc.source100005
dc.subjectAGRICULTURAL SCIENCES AND BIOTECHNOLOGY
dc.subjectGenomic Selection
dc.subjectOpen-Source Breeding
dc.subjectGenomic Prediction
dc.subjectMolecular Markers
dc.subjectLivestock Breeding
dc.subjectMARKER-ASSISTED SELECTION
dc.subjectGENETIC GAIN
dc.subjectBREEDING
dc.subjectGENETIC MARKERS
dc.subjectLIVESTOCK
dc.titleEnhancing genetic gain through genomic selection: from livestock to plants
dc.typeArticle
dc.typePublished Version
dc.coverageUSA


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