Abstract
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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Acknowledgements
We heartily thank the Professor and Head, Department of Tree improvement and Genetic Resources, College of Forestry, Dr. Yashwant Singh Parmar, University of Horticulture and Forestry Nauni, Solan, Himachal Pradesh, India for assisting in compiling the subjective material for writing this manuscript.
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This work was carried out by a collaboration of all the authors. US, HP, AK, LT, ST, DT; SS and Shilpa Sharma conceptualized the paper; US; SS and Shilpa Sharma performed a literature search; US, HP, AK, LT, ST, NS, DT and Shilpa Sharma wrote the manuscript. All the authors have read and approved this manuscript.
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Sharma, U., Sankhyan, H.P., Kumari, A. et al. Genomic selection: a revolutionary approach for forest tree improvement in the wake of climate change. Euphytica 220, 9 (2024). https://doi.org/10.1007/s10681-023-03263-5
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DOI: https://doi.org/10.1007/s10681-023-03263-5