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Enhancing Genetic Gain through Genomic Selection: From Livestock to Plants

Journal

PLANT COMMUNICATIONS
Volume 1, Issue 1, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.xplc.2019.100005

Keywords

genomic selection; genetic gain; open-source breeding; genomic prediction; molecular marker; livestock breeding

Funding

  1. National Key Research and Development Program of China [2016YFD0101803]
  2. National Key Basic Research Program of China [2014 CB138206]
  3. Agricultural Science and Technology Innovation Program of CAAS
  4. Fundamental Research Funds for Central Non-Profit of Institute of Crop Sciences, CAAS [1610092016124]
  5. Bill and Melinda Gates Foundation
  6. CGIAR Research Program MAIZE

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Although 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.

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