Estimation of optimal timing of early selection based on time trends of genetic parameters in Abies sachalinensis

Author:

Hanaoka So1,Kato Kazutaka1

Affiliation:

1. Hokkaido Regional Breeding Office, Forest Tree Breeding Center, Forestry and Forest Products Research Institute , 561-1, Bunkyodai midorimachi , Ebetsu city, Hokkaido , Japan

Abstract

Abstract Early selection is an imperative in ongoing forest tree breeding. This study estimated the optimal timing of early selection in Abies sachalinensis (F. Schmidt) Mast. based on time trends of genetic parameters obtained from two test sites. Tree height (Ht ) at 5, 10 (11), 15, 20, 30, and 40 years of age and diameter at breast height (DBH) at 20, 30, and 40 years of age were analyzed. The efficiency of early selection per year (E) for performing early indirect selection relative to performing direct selection at the earliest rotation age (40 years of age) was estimated based on narrow-sense heritability (h 2) and age–age genetic correlation (r). The h 2 of Ht peaked at 10 or 15 years of age (0.52–0.71), and that of DBH was the highest at 20 years of age (0.19 or 0.22). The age–age genetic correlation between tree heights or between tree height and DBH at different ages decreased with increasing differences between ages (regression coefficients were −0.011 and −0.007, respectively). The E values were highest at 10 or 15 years of age (0.84-1.74 and 1.42-2.24 for Ht and Ht -DBH, respectively), indicating the optimum selection timing. In Japapnese forestry, the initial growth rate is considered important for reducing weeding costs. Selection at 10 or 15 years of age had more than in >65 % indirect genetic gain relative to the direct genetic gain at 5 years of age; thus, selection at 10-15 years of age is appropriate considering the initial and mature phases of tree growth.

Publisher

Walter de Gruyter GmbH

Subject

Genetics,Forestry

Reference34 articles.

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3. Bagchi S (2007) Relationship between size Hierarchy and density of trees in a tropical dry deciduous forest of western India. Journal of Vegetation Science 18: 389-394. https://doi.org/10.1111/j.1654-1103.2007.tb02551.x

4. Burdon RD (1989) Early selection in tree breeding: principles for applying index selection and inferring input parameters. Canadian Journal of Forest Research 19: 499-504. https://doi.org/10.1139/x89-076

5. Burdon RD, Bannister MH, Low CB (1992) Genetic survey of Pinus radiata. 5: Between- trait and age-age correlations for growth rate, morphology and disease resistance. New Zealand Journal of Forest Science 22: 211-227

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