Analysis of fast-growing and stability characteristics of <i>Betula platyphylla</i> progeny at multiple locations based on BLUP-GGE biplot

Wen Haoyu; Zhang Jie; Li Huiyu; Gao Caiqiu; Wang Chao; Zhang Qingzhu; Jiang Jing; Liu Guifeng

doi:10.12171/j.1000-1522.20240010

Journal of Beijing Forestry University > 2024 > 46(10): 53-62. > DOI: 10.12171/j.1000-1522.20240010

Wen Haoyu, Zhang Jie, Li Huiyu, Gao Caiqiu, Wang Chao, Zhang Qingzhu, Jiang Jing, Liu Guifeng. Analysis of fast-growing and stability characteristics of Betula platyphylla progeny at multiple locations based on BLUP-GGE biplot[J]. Journal of Beijing Forestry University, 2024, 46(10): 53-62. DOI: 10.12171/j.1000-1522.20240010

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Analysis of fast-growing and stability characteristics of Betula platyphylla progeny at multiple locations based on BLUP-GGE biplot

Nation Key Laboratory of Forest Tree Genetic Breeding, Northeast Forestry University, Harbin 150040, Heilongjiang, China

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Received Date: January 07, 2024
Revised Date: March 17, 2024
Accepted Date: October 13, 2024
Available Online: October 13, 2024

Graphical Abstract

Abstract

Abstract

Objective
Through multi-location trials of birch progeny, this paper analyzes their fast-growing and stability characteristics, selects excellent genotypes, and provides a scientific basis for renovation and reconstruction of seed orchard.

Method
The study focused on the progeny test forest of 8-year-old half-sibling families of birch at three experimental sites. Traits such as tree height, DBH, wood volume, straightness, and survival rate were investigated. The ASReml-R4.0 software package in the R language was employed to fit a mixed linear model with heterogeneous variance. Breeding values for each family at different trial locations were obtained through best linear unbiased prediction (BLUP). Additionally, a comprehensive evaluation and selection of trial sites and families were conducted using the GGE biplot method.
Result
(1) In the mixed linear model analysis with location as a fixed effect, differences in the offsprings of half-sib family lines of birch reached significant levels (P < 0.05, Z ratio > 1.5) for all five traits among locations, among family lines, and among location × family line interactions. (2) Based on BLUP values of each trait, the GGE biplot revealed that Shangzhi Trial Site had the optimal discrimination and representativeness. Qing’an and Shangzhi trial sites showed the strongest correlation, while Yongji was almost uncorrelated with Shangzhi and negatively correlated with Qing’an. (3) Progeny from birch family 16 and 15 exhibited the best fast-growing characteristics, and family 4 and 32 demonstrated the highest stability. Considering a comprehensive ranking based on stability and fast-growing characteristics of each family, four excellent families, including family 16, 40, 15, and 38 were selected with a 20% inclusion rate.
Conclusion
There are significant differences in growth performance of birch half-sibling families at different trial locations, and growth performance also varies among different families within the same trial location. The interaction between genotype (family) and environment (site) significantly influences the growth of birch. Based on comprehensive traits of stability and fast-growing for each family, family 16, 40, 15, and 38 have been selected as excellent half-sibling families of birch.
- Betula platyphylla,
- linear mixed model,
- breeding values,
- GGE biplot,
- excellent family selection

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References (32)

References

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Analysis of fast-growing and stability characteristics of Betula platyphylla progeny at multiple locations based on BLUP-GGE biplot

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