Time trends of genetic parameters and genetic gains and optimum selection age for growth traits in sugi (<i>Cryptomeria japonica</i>) based on progeny tests conducted throughout Japan

Hiraoka, Yuichiro; Miura, Masahiro; Fukatsu, Eitaro; Iki, Taiichi; Yamanobe, Taro; Kurita, Masayuki; Isoda, Keiya; Kubota, Masahiro; Takahashi, Makoto

doi:10.1080/13416979.2019.1661068

Cited by 13 publications

(8 citation statements)

References 14 publications

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“…We found that the genetic correlations between early and late ages for growth traits were always positive and high (0.51-0.99), demonstrating the potential for N. cadamba selection at a young age. Age-age genetic correlations for both DBH and V were higher than that for HT, in agreement with observations on Larix kaempferi [42] and sugi [7] but not with those of Dong [30], who found that the genetic correlation between early and late ages for HT was higher than that for DBH. It is not clear why the relative magnitudes of the genetic correlations for growth traits differed between these studies.…”

Section: Discussionsupporting

confidence: 90%

“…The reason for this deviation may be that different forms of heritability were used in the two studies; the earlier study computed broad sense heritability, whereas the additive heritability was examined in this study. The heritabilities of different growth traits showed different trends with increasing age, in accordance with previous studies on tree species including sugi (Cryptomeria japonica) [7], Larix kaempferi [29], and Larix principis-rupprechtii [30], showing that the individual heritability of DBH changed less with age than that of HT, which may be due to the fact that DBH receives less environmental impact than HT.…”

Section: Discussionsupporting

confidence: 89%

“…Potential contributing factors include differences in the studied species, competitive pressures, growth phases, and silvicultural factors, but further investigation is needed to clarify this issue [30]. The most widely used model for exploring age-age genetic correlations is that of Lambeth (1980), which has been tested by several researchers working on tree species [7,30,39,45]. The age-age genetic correlations were generally stronger than the corresponding phenotypic correlations, in agreement with observations on Larix principis-rupprechtii [30].…”

Section: Discussionmentioning

confidence: 99%

“…trees aged between 6 and 12 years can improve the genetic gain for growth traits. It was efficient for early selection of growth traits at one-third of the rotation period in sugi (Cryptomeria japonica (L. f.) D. Don) [7], as well as for that of microfibril angle at the age of 4 years and modulus of elasticity between 5 and 8 years for density in lodgepole pine (Pinus contorta Dougl. ex Loud.…”

Section: Introductionmentioning

confidence: 99%

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Multi-Level Genetic Variation and Selection Strategy of Neolamarckia cadamba in Successive Years

Que

et al. 2021

Forests

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Neolamarckia cadamba (Roxb.) Bosser is a tropical evergreen broadleaf tree species that could play an important role in meeting the increasing demand for wood products. However, multi-level genetic variation and selection efficiency for growth traits in N. cadamba is poorly characterized. We therefore investigated the efficiency of early selection in N. cadamba by monitoring the height (HT), diameter at breast height (DBH), and tree volume (V) in 39 half-sib families from 11 provenances at ages 2, 3, 4, 5, and 6 years in a progeny test. Age-related trends in growth rate, genetic parameters in multi-level, efficiency of early selection, and realized gain in multi-level for growth traits were analyzed. The result showed that genetic variation among families within provenances was higher than that among provenances. The estimated individual heritability values for the growth traits ranged from 0.05 to 0.26, indicating that the variation of growth traits in N. cadamba was subject to weak or intermediate genetic control. The age–age genetic correlations for growth traits were always positive and high (0.51–0.99), and the relationships between the genetic/phenotypic correlations and the logarithm of the age ratio (LAR) were described well by linear models (R2 > 0.85, except the fitting coefficient of genetic correlation and LAR for HT was 0.35). On the basis of an early selection efficiency analysis, we found that it is the best time to perform early selection for N. cadamba at age 5 before half-rotation, and the selection efficiencies were 157.28%, 151.56%, and 127.08% for V, DBH, and HT, respectively. Higher realized gain can be obtained by selecting superior trees from superior families. These results can be expected to provide theoretical guidance and materials for breeding programs in N. cadamba and can even be a reference for breeding strategies of other fast-growing tree species.

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Section: Discussionsupporting

confidence: 90%

Section: Discussionsupporting

confidence: 89%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Multi-Level Genetic Variation and Selection Strategy of Neolamarckia cadamba in Successive Years

Que

et al. 2021

Forests

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“…In general, evaluations are carried out in progeny trials, such as half and/or full siblings, clones, hybrids, or a combination there of them [ 48 , 49 , 50 ]. Phenotypic selection has contributed significantly to the increase in genetic gains in various forest species around the world, such as Eucalyptus , Pinus , Populus , Picea and Cryptomeria [ 51 , 52 , 53 , 54 , 55 ]. However, the maintenance of progeny trials, for example, involves a significant investment of resources, intensive logistics and long selection cycles before usable results are seen [ 10 , 56 , 57 ].…”

Section: Conventional Forest Tree Breeding and Marker-assisted Selection (Mas)mentioning

confidence: 99%

Achievements and Challenges of Genomics-Assisted Breeding in Forest Trees: From Marker-Assisted Selection to Genome Editing

Ahmar

Ballesta²,

Ali

et al. 2021

IJMS

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Forest tree breeding efforts have focused mainly on improving traits of economic importance, selecting trees suited to new environments or generating trees that are more resilient to biotic and abiotic stressors. This review describes various methods of forest tree selection assisted by genomics and the main technological challenges and achievements in research at the genomic level. Due to the long rotation time of a forest plantation and the resulting long generation times necessary to complete a breeding cycle, the use of advanced techniques with traditional breeding have been necessary, allowing the use of more precise methods for determining the genetic architecture of traits of interest, such as genome-wide association studies (GWASs) and genomic selection (GS). In this sense, main factors that determine the accuracy of genomic prediction models are also addressed. In turn, the introduction of genome editing opens the door to new possibilities in forest trees and especially clustered regularly interspaced short palindromic repeats and CRISPR-associated protein 9 (CRISPR/Cas9). It is a highly efficient and effective genome editing technique that has been used to effectively implement targetable changes at specific places in the genome of a forest tree. In this sense, forest trees still lack a transformation method and an inefficient number of genotypes for CRISPR/Cas9. This challenge could be addressed with the use of the newly developing technique GRF-GIF with speed breeding.

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Growth performance and G × E interactions of Liriodendron tulipifera half-sib families across ages in eastern China

Xia

Yang

et al. 2022

Eur J Forest Res

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Time trends of genetic parameters and genetic gains and optimum selection age for growth traits in sugi (Cryptomeria japonica) based on progeny tests conducted throughout Japan

Abstract: Fig. S1. The locations of the analyzed test sites Fig. S2. Examples of 5-year height data obtained from five test sites including excluded data. Red circles represent removed data as error values determined by the procedure explained in the text.

Cited by 13 publications

References 14 publications

Multi-Level Genetic Variation and Selection Strategy of Neolamarckia cadamba in Successive Years

Multi-Level Genetic Variation and Selection Strategy of Neolamarckia cadamba in Successive Years

Achievements and Challenges of Genomics-Assisted Breeding in Forest Trees: From Marker-Assisted Selection to Genome Editing

Growth performance and G × E interactions of Liriodendron tulipifera half-sib families across ages in eastern China

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