Advantage of clonal deployment in Norway spruce (Picea abies (L.) H. Karst)

被引:14
|
作者
Chen, Zhi-Qiang [1 ]
Hai, Hong Nguyen Thi [1 ,2 ]
Helmersson, Andreas [3 ]
Liziniewicz, Mateusz [3 ]
Hallingback, Henrik R. [1 ,4 ,5 ]
Fries, Anders [1 ]
Berlin, Mats [5 ]
Wu, Harry X. [1 ,6 ,7 ]
机构
[1] Swedish Univ Agr Sci, Umea Plant Sci Ctr, Dept Forest Genet & Plant Physiol, Linnaeus Vag 6, SE-90183 Umea, Sweden
[2] Forest Sci Inst South Vietnam, 1 Pham Van Hai, Ho Chi Minh City, Vietnam
[3] Skogforsk, Ekebo 2250, SE-26890 Svalov, Sweden
[4] Swedish Univ Agr Sci, Linnean Ctr Plant Biol, Dept Plant Biol, Uppsala BioCtr, POB 7080, SE-75007 Uppsala, Sweden
[5] Skogforsk, Uppsala Sci Pk, SE-75183 Uppsala, Sweden
[6] Beijing Forestry Univ, Beijing Adv Innovat Ctr Tree Breeding Mol Design, Beijing, Peoples R China
[7] CSIRO Natl Collect Res Australia, Black Mt Lab, Canberra, ACT 2601, Australia
关键词
Clonal forestry; Family forestry; Wood quality traits; DBH; Genetic gain; Non-additive genetic variance; AGE-AGE CORRELATIONS; WOOD QUALITY TRAITS; GENETIC-PARAMETERS; GENOMIC SELECTION; BREEDING STRATEGIES; REPLICATED TEST; GROWTH; EFFICIENCY; DOMINANCE; HEIGHT;
D O I
10.1007/s13595-020-0920-1
中图分类号
S7 [林业];
学科分类号
0829 ; 0907 ;
摘要
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.
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页数:15
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