Genomic selection: a revolutionary approach for forest tree improvement in the wake of climate change

被引:0
作者
Umesh Sharma
H. P. Sankhyan
Anita Kumari
Shikha Thakur
Lalit Thakur
Divya Mehta
Sunny Sharma
Shilpa Sharma
Neeraj Sankhyan
机构
[1] Dr. Yashwant Singh Parmar University of Horticulture and Forestry,Department of Tree Improvement and Genetic Resources, College of Forestry
[2] Lovely Professional University,Department of Horticulture, School of Agriculture
[3] Dr. Yashwant Singh Parmar University of Horticulture and Forestry,Department of Basic Sciences, College of Forestry
来源
Euphytica | 2024年 / 220卷
关键词
Breeding cycle; Forest tree breeding; Genomic selection; Molecular markers prediction models; Quantitative trait locus;
D O I
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中图分类号
学科分类号
摘要
Forest tree breeding is new and more difficult, time-consuming, and expensive than crop breeding. Forest trees breed every 20–40 years. Genomic and molecular biology advances have revolutionized plant breeding based on phenotypes. Molecular markers make genotype selection possible. Marker-assisted breeding can speed up breeding, however, it is not effective for selecting complicated features in forest trees. The genomic estimated breeding value of an individual can be determined using this unique genomic selection method, which studies all impacts of quantitative trait loci using a large number of genetic markers across the genome. This method should improve forest trees better than conventional breeding. This article reviews genomic selection's current advancements in forest tree improvement and discusses genotyping and phenotyping methods. We also evaluate genomic prediction algorithms and stress the importance of cost–benefit analysis before genomic selection. This technique of forest breeding can be improved by boosting species diversity, favorable traits, and epigenetic variation.
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