Genetic parameters and genetic gains across three breeding cycles for growth and form traits of Eucalyptus regnans in New Zealand

Suontama, Mari; Low, C. B.; Stovold, Grahame T.; Miller, Mark A.; Fleet, Kane; Li, Y.; Dungey, Heidi S.

doi:10.1007/s11295-015-0957-8

Cited by 10 publications

(9 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…This contrasts with some evidence of G×E in form traits for branch size, numbers of forks and ramicorn branches (Wu and Matheson 2005) and for stem straightness and branch quality among some sites across Australia and New Zealand (Baltunis and Brawner 2010). Similarly, Gwaze et al (2001) reported high levels of G×E for stem straightness in Zimbabwe for stem straightness and Suontama et al (2015) reported high levels of G×E for branching in New Zealand. Conflicting G×E was found in two New Zealand studies: Dungey et al (2012) reported a high level of provenance × site interaction for stem straightness but a low level of family-within-provenance × site interaction in Douglas-fir; Kennedy et al (2011) found a high type-B genetic correlation (over 0.80) for straightness and form score and a low type-B genetic correlation (0.49) for malformation.…”

Section: Evidence Of G×e In Forest Treesmentioning

confidence: 79%

“…14 full-sib families generated from 6 parents in a half-diallel mating design and planted at 4 sites in the USA Dieters (1996) Six elite full-sib families in 2 locations in the USA Suontama et al (2015) maritime pine (Pinus pinaster Aiton) populations sourced from Portugal, Spain, France and Australia, in a multiple environment provenance trial in Spain. The GGE biplot analyses were used to analyse the biomass production and stability of poplar clones, which were ranked according to mean performance and stability in southwest Europe (Sixto et al 2011).…”

Section: Biplot Analysesmentioning

confidence: 99%

See 1 more Smart Citation

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

167

107

View full text Add to dashboard Cite

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.

show abstract

Section: Evidence Of G×e In Forest Treesmentioning

confidence: 79%

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

167

107

View full text Add to dashboard Cite

show abstract

“…Bons resultados utilizando a matriz de parentesco no cálculo de parâmetros genéticos e ganhos de seleção em crescimento e forma da árvore em Eucalyptus regnans foram obtidos por Suontama et al (2015). Estes autores encontraram herdabilidades (h²) em torno de 0,30 tanto para DAP como para altura (H).…”

Section: Tabela 2 Comparação Do Ajuste Dos 4 Modelos Utilizadosunclassified

“…Outros autores também avaliaram a interação genótipo por ambiente, além de calcular correlações genéticas entre ambientes para variáveis de crescimento de Eucalyptus spp. Suontama et al (2015) encontraram correlações genéticas entre ambientes iguais a 0,72 e 0,83 para altura e diâmetro (variáveis que compõe o IMA) em famílias de meios-irmãos de E. regnans na Nova Zelândia. Lambeth, et al (1994) avaliaram IMA em clones de E. grandis e encontraram correlação genética entre ambientes igual a 0,96.…”

Section: Tabela 2 Comparação Do Ajuste Dos 4 Modelos Utilizadosunclassified

“…Nesse sentido, a utilização da matriz A (com base em pedigree) ainda é uma alternativa interessante e mais viável em detrimento da matriz G (com base em marcadores moleculares). A predição de progênies com base na matriz aditiva A não é algo novo no setor florestal e diversos autores já realizaram trabalhos relevantes com esse objetivo principalmente para os gêneros Pinus e Eucalyptus (ZHANG et al, 2015;SUONTAMA et al, 2015;OGUT et al, 2014). Os modelos 1 e 3 (Tabela 2) não são capazes de realizar a predição para outros locais de indivíduos não-observados nestes modelos.…”

Section: Tabela 2 Comparação Do Ajuste Dos 4 Modelos Utilizadosunclassified

See 1 more Smart Citation

Acurácia preditiva de testes clonais de Eucalyptus spp. utilizando efeitos aditivos do parentesco e validação cruzada

Resende¹,

Resende²,

Silva³

et al. 2017

Sci. For.

View full text Add to dashboard Cite

ResumoO uso de extensos plantios clonais é uma prática consenso nas empresas florestais. No entanto, os modelos estatísticos e o tamanho das parcelas utilizadas na seleção dos clones superiores ainda é uma questão entre os melhoristas florestais. Com base em 11 experimentos contendo parcelas semelhantes aos plantios comerciais e 63 clones, este trabalho objetivou avaliar o uso de informação de pedigree, heterogeneidade genética entre ambientes e a possibilidade de redução de parcelas, a fim de otimizar a predição do incremento médio anual (IMA) realizando validação cruzada entre ambientes. Os ambientes proporcionaram altas herdabilidades no sentido-restrito (entre 0,65 a 0,95) e forte alteração dos rankings entre experimentos. A inclusão de parentesco e variâncias genéticas particulares para cada ambiente ao modelo é um procedimento eficiente na melhoria das acurácias realizadas. Além disso, 4 a 16 plantas avaliadas por parcela é uma quantidade confiável para predizer a produtividade dos talhões florestais. Palavras AbstractLarge clonal planting is a practice already established by the timber companies. However, statistical models, the plot size used in selection of superior clones is still a topic of discussion between forest breeders. Based on 11 trials containing plots similar to commercial plantations and 63 clones, this study aimed to evaluate the use of pedigree information, genetic heterogeneity between environments and the possibility of plot reduction in order to optimize the predictive accuracies of the mean annual increment (MAI) performing cross-validation between environments. All trials showed high narrow-sense heritabilities (from 0.65 to 0.95) and a strong change of clonal rankings was verified. It was observed that the inclusion of pedigree information and particular genetic variances for each trial on model is an effective procedure to increase the predictive accuracies. Moreover, between 4-16 trees evaluated per plot is a reliable size for the prediction of forest stands.

show abstract

Analysis of genetic parameters of growth and wood traits provides insight into the genetic improvement of Schima superba

Wang,

Wu,

Huang

et al. 2024

Tree Genetics & Genomes

View full text Add to dashboard Cite

Genetic parameters and genetic gains across three breeding cycles for growth and form traits of Eucalyptus regnans in New Zealand

Cited by 10 publications

References 22 publications

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

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

Acurácia preditiva de testes clonais de Eucalyptus spp. utilizando efeitos aditivos do parentesco e validação cruzada

Analysis of genetic parameters of growth and wood traits provides insight into the genetic improvement of Schima superba

Contact Info

Product

Resources

About