Genetic stability analysis of introducedBetula pendula, Betula kirghisorum, andBetula pubescensfamilies in saline-alkali soil of northeastern China

Zhao, Xiyang; Bian, Xiuyan; Li, Zhixin; Wang, Xiuwei; Yang, Chengjun; Jiang, Jing; Kentbayev, Y.; Kentbayeva, B.; Yang, Chuanping

doi:10.1080/02827581.2014.960892

Cited by 39 publications

(16 citation statements)

References 28 publications

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“…et Zucc. and Pinus taeda L. [14][15][16], in branchiness, straightness and wood density for Eucalyptus regnans F. Muell., Pinus radiate D. Don and Eucalyptus grandis W. Hill ex Maiden [17][18][19].…”

Section: Introductionmentioning

confidence: 99%

Genetic Parameter Estimates and Genotype × Environment Interactions of Growth and Quality Traits for Betula alnoides Buch.-Ham. ex D. Don in Four Provenance-Family Trials in Southern China

Yin

Guo

Chun-sheng

et al. 2019

Forests

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Betula alnoides is a valuable timber species with wide ecological adaptability in Southeast Asia and southern China. There are more than 150,000 ha of B. alnoides plantations in China until now. However, heavy differentiation in growth and quality traits with low productivity are usually seen in the practice. Elite germplasm are thus urgently needed for this species. Here growth and quality traits for 199 families of 25 provenances were assessed at four sites when 10–15 years old to estimate genetic parameters and reveal genotype by environment (G × E) interaction, and screen out superior provenances and families for plantation forestry of B. alnoides. The growth and quality performances of provenances varied with sites. Significant site, provenance, family and provenance-site effects were revealed for most growth and quality traits, while significant family-site effects were only observed in crown width (CW) and crown shape (CS), inferring that there existed significant G × E interaction. The provenance repeatability ( h p 2 ) and family heritability ( h f 2 ) of all tested traits ranged from 0.026 to 0.636 and 0.148 to 0.578, respectively. Stem volume showed the highest genetic and phenotypic coefficients of variation (GCV, PCV) among all traits at each site. The diameter at breast height (DBH), tree height (H), height to live crown base (HCB) and CW were strongly correlated with other traits, and were also under relatively higher genetic control and had stronger discriminating ability on genotype differences. Through biplot analyses of main genotypic effect and G × E interaction (GGE) for these traits, five provenances and 20 families were screened out with selection ratio of 20 % and 10% at provenance and family level, respectively. The genetic and realized gains at provenance level ranged from 0.25% to 2.01% and 2.43% to 14.84%, and those at family level ranged from 0.85% to 21.22% and 5.76% to 36.71%, respectively. The findings lay a foundation for subsequent study on genetic improvement and breeding of this species, and application of the superior provenances and families will greatly increase the productivity of its plantations in practice.

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Section: Introductionmentioning

confidence: 99%

Genetic Parameter Estimates and Genotype × Environment Interactions of Growth and Quality Traits for Betula alnoides Buch.-Ham. ex D. Don in Four Provenance-Family Trials in Southern China

Yin

Guo

Chun-sheng

et al. 2019

Forests

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“…; Rae et al 2008), white spruce (Picea glauca (Moench) Voss; Rweyongeza 2011), birch (Betula spp. ; Zhao et al 2014) and lodgepole pine (Pinus contorta Douglas; Wu and Ying 2001).…”

Section: Biplot Analysesmentioning

confidence: 99%

Genotype by environment interactions in forest tree breeding: review of methodology and perspectives on research and application

Suontama

Burdon

et al. 2017

Tree Genetics & Genomes

166

107

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Genotype by environment interaction (G×E) refers to the comparative performances of genotypes differing among environments, representing differences in genotype rankings or differences in the level of expression of genetic differences among environments. G×E can reduce heritability and overall genetic gain, unless breeding programmes are structured to address different categories of environments. Understanding the impact of G×E, the role of environments in generating G×E and the problems and opportunities is vital to efficient breeding programme design and deployment of genetic material. We review the current main analytical methods for identifying G×E: factor analytic models, biplot analysis and reaction norm. We also review biological and statistical evidence of G×E for growth, form and wood properties in forest species of global economic importance, including some pines, eucalypts, Douglas-fir, spruces and some poplars. Among these species, high levels of G×E tend to be reported for growth traits, with low levels of G×E for form traits and wood properties. Finally, we discuss possible ways of exploiting G×E to maximise genetic gain in forest tree breeding. Characterising the role of environments in generating interactions is seen as the basic platform, allowing efficient testing of candidate genotypes. We discuss the importance of level-of-expression interaction, relative to rankchange interaction, as being greater than in many past reports, especially for deployment decisions. We examine the impacts of G×E on tree breeding, some environmental factors that cause G×E and the strategies for dealing with G×E in tree breeding, and the future role of genomics.

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“…Several plants are sensitive to abiotic stress, withered, and then died. Despite B. platyphylla is an abiotic stress tolerance tree species, EL value was found to be increased by abiotic stress (Zhao et al 2014;Beloiu et al 2020). Using Evans Blue Staining and the EL rate assay, it was shown that drought stress damaged the B. platyphylla cell membrane (Wen et al 2019).…”

Section: Electrolyte Leakagementioning

confidence: 99%

Abiotic stresses induced physiological, biochemical, and molecular changes in Betula platyphylla: a review

Ritonga¹,

Ngatia²,

Song³

et al. 2021

Silva Fenn.

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Abiotic stress is one of the major factors in reducing plant growth, development, and yield production by interfering with various physiological, biochemical, and molecular functions. In particular, abiotic stress such as salt, low temperature, heat, drought, UV-radiation, elevated CO2, ozone, and heavy metals stress is the most frequent study in Sukaczev. is one of the most valuable tree species in East Asia facing abiotic stress during its life cycle. Using transgenic plants is a powerful tool to increase the abiotic stress tolerance. Generally, abiotic stress reduces leaves water content, plant height, fresh and dry weight, and enhances shed leaves as well. In the physiological aspect, salt, heavy metal, and osmotic stress disturbs seed germination, stomatal conductance, chlorophyll content, and photosynthesis. In the biochemical aspect, salt, drought, cold, heat, osmotic, UV-B radiation, and heavy metal stress increases the ROS production of cells, resulting in the enhancement of enzymatic antioxidant (SOD and POD) and non-enzymatic antioxidant (proline and AsA) to reduce the ROS accumulation. Meanwhile, upregulates various genes, as well as proteins to participate in abiotic stress tolerance. Based on recent studies, several transcription factors contribute to increasing abiotic stress tolerance in , including , and . These transcription factors bind to different cis-acting elements to upregulate abiotic stress-related genes, resulting in the enhancement of salt, drought, cold, heat, osmotic, UV-B radiation, and heavy metal tolerance. These genes along with phytohormones mitigate the abiotic stress. This review also highlights the candidate genes from another Betulacea family member that might be contributing to increasing abiotic stress tolerance.Betula platyphyllaBetula platyphyllaB. platyphyllaB. platyphyllaB. platyphyllaB. platyphyllaBplMYB46, BpMYB102, BpERF13, BpERF2, BpHOX2, BpHMG6, BpHSP9, BpUVR8, BpBZR1, BplERD15BpNACsB. platyphylla

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Genetic stability analysis of introducedBetula pendula, Betula kirghisorum, andBetula pubescensfamilies in saline-alkali soil of northeastern China

Cited by 39 publications

References 28 publications

Genetic Parameter Estimates and Genotype × Environment Interactions of Growth and Quality Traits for Betula alnoides Buch.-Ham. ex D. Don in Four Provenance-Family Trials in Southern China

Genetic Parameter Estimates and Genotype × Environment Interactions of Growth and Quality Traits for Betula alnoides Buch.-Ham. ex D. Don in Four Provenance-Family Trials in Southern China

Genotype by environment interactions in forest tree breeding: review of methodology and perspectives on research and application

Abiotic stresses induced physiological, biochemical, and molecular changes in <i>Betula platyphylla</i>: a review

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