Advantage of clonal deployment in Norway spruce (Picea abies (L.) H. Karst). Chen, Z., Hai, H. N. T., Helmersson, A., Liziniewicz, M., Hallingbäck, H. R., Fries, A., Berlin, M., & Wu, H. X. Annals of Forest Science, 77(1):14, March, 2020.
Advantage of clonal deployment in Norway spruce (Picea abies (L.) H. Karst) [link]Paper  doi  abstract   bibtex   
Abstract Key message There is considerable genetic gain of tree volume from clonal deployment in Norway spruce ( Picea abies (L.) H. Karst) and clonal deployment will have at least 50% more or double genetic gain than the seedling deployment. Context Genetic parameters and genetic gains for wood quality and growth traits were estimated in six large clonal progeny trials. Aims Develop the optimal clonal deployment strategy of Norway spruce in Sweden. Methods Wood quality and growth traits were measured in all clonal trials and additive and non-additive genetic variances are partitioned. Results Additive and non-additive genetic variances were equally important for growth traits while non-additive variance was small or not significant for wood quality trait. The genetic gain predicted for clonal deployment was greater than any of the other four deployment strategies. Selecting the top 1% of tested clones (clonal forestry) would have 48.4% and 134.6% more gain than the gain predicted for the seedling deployment of selected full-sib families and half-sib family (family forestry), respectively, at the same selection intensity. Conclusion This study highlights that testing of 30–40 clones per family would maximize the realized genetic gain for different clonal selection scenarios, either selecting the best ten or 20 clones without any co-ancestry restrictions or selecting the best single clone from each of the best ten or 20 families (e.g., co-ancestry restriction). Clonal mean selection and vegetative deployment are the most effective.
@article{chen_advantage_2020,
	title = {Advantage of clonal deployment in {Norway} spruce ({Picea} abies ({L}.) {H}. {Karst})},
	volume = {77},
	issn = {1286-4560, 1297-966X},
	url = {http://link.springer.com/10.1007/s13595-020-0920-1},
	doi = {10.1007/s13595-020-0920-1},
	abstract = {Abstract
            
              
                
                  Key message
                
              
              
                There is considerable genetic gain of tree volume from clonal deployment in Norway spruce (
                
                  Picea abies
                
                (L.) H. Karst) and clonal deployment will have at least 50\% more or double genetic gain than the seedling deployment.
              
            
            
              
                
                  Context
                
              
              Genetic parameters and genetic gains for wood quality and growth traits were estimated in six large clonal progeny trials.
            
            
              
                
                  Aims
                
              
              Develop the optimal clonal deployment strategy of Norway spruce in Sweden.
            
            
              
                
                  Methods
                
              
              Wood quality and growth traits were measured in all clonal trials and additive and non-additive genetic variances are partitioned.
            
            
              
                
                  Results
                
              
              Additive and non-additive genetic variances were equally important for growth traits while non-additive variance was small or not significant for wood quality trait. The genetic gain predicted for clonal deployment was greater than any of the other four deployment strategies. Selecting the top 1\% of tested clones (clonal forestry) would have 48.4\% and 134.6\% more gain than the gain predicted for the seedling deployment of selected full-sib families and half-sib family (family forestry), respectively, at the same selection intensity.
            
            
              
                
                  Conclusion
                
              
              This study highlights that testing of 30–40 clones per family would maximize the realized genetic gain for different clonal selection scenarios, either selecting the best ten or 20 clones without any co-ancestry restrictions or selecting the best single clone from each of the best ten or 20 families (e.g., co-ancestry restriction). Clonal mean selection and vegetative deployment are the most effective.},
	language = {en},
	number = {1},
	urldate = {2021-06-07},
	journal = {Annals of Forest Science},
	author = {Chen, Zhi-Qiang and Hai, Hong Nguyen Thi and Helmersson, Andreas and Liziniewicz, Mateusz and Hallingbäck, Henrik R. and Fries, Anders and Berlin, Mats and Wu, Harry X.},
	month = mar,
	year = {2020},
	pages = {14},
}

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