Adaptation of eastern whitepine provenances to planting sites

Demeritt, M. E.; Garrett, Peter W.

doi:10.2737/ne-rp-703

Cited by 4 publications

(3 citation statements)

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“…Survival, height and various other traits were monitored over time (Garrett et al, 1973). Mean population height reported as a percentage of all trees planted at a site, is available from numerous sources (Demeritt and Garrett, 1996;Demeritt and Kettlewood, 1976;Fowler and Heimbuger, 1969;Funk, 1971;Funk et al, 1975;Garrett et al, 1973;King and Nienstadt, 1968;Sluder, 1963;Sluder and Dorman, 1971;Wright et al, 1963). For consistency, we used mean height at age 10.…”

Section: Usfs and Southern Appalachian Test Series'mentioning

confidence: 99%

“…A wealth of provenance tests of Pinus strobus have documented latitudinal clines in phenology (Lu et al, 2003;Santamour, 1960), timing of cold acclimation (Maronek and Flint, 1974;Mergen, 1963;Lu et al, 2002), and survival, height and diameter growth at ages up to 28 years, (Abubaker and Zsuffa, 1990;Beaulieu et al, 1996;Demeritt and Garrett, 1996;Demeritt and Kettlewood, 1976;Fowler and Heimbuger, 1969;Funk, 1971;Funk et al, 1975;Garrett et al, 1973;Genys, 1968Genys, , 1987Genys, , 1990Joyce et al, 2002a;King and Nienstadt, 1968;Li et al, 1997;Sluder, 1963;Sluder and Dorman, 1971;Sprackling and Read, 1976;Wright, 1970;Wright et al, 1963;Wright et al, 1979). While insightful for understanding the contemporary pattern of adaptive variation, geophysical models are of little use in predicting adaptive responses to changing climate.…”

Section: Introductionmentioning

confidence: 99%

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Climatic niche, ecological genetics, and impact of climate change on eastern white pine (Pinus strobus L.): Guidelines for land managers

Joyce

Rehfeldt

2013

Forest Ecology and Management

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a b s t r a c tApproximately, 123,500 forest inventory and ecological ground plots representing eastern North America were used to predict the contemporary distribution of eastern white pine (Pinus strobus L.) from climate. The random forests classification tree procedures produced an 8-variable algorithm that had an 8% overall error rate. Erroneous predictions of presence, or errors of commission, were 13%, while falsely predicting absence, or errors of omission were 1%. Climate-based multiple regression models were developed to describe patterns of genetic variation among 112 populations representing the range of P. strobus in Ontario, Canada east of Lake Superior. Degree days >5°C was the best predictor of variation in phenology and growth potential, with 5-year height providing the greatest resolution of inter-population variation (R 2 = 0.68). Cold hardiness in the fall was most closely associated with mean minimum temperature (R 2 = 0.26). Height growth data from four disparate provenance test series that together included a total of 354 provenances corroborated the range-wide applicability of the regional genetic models. Although variation in growth potential in the central Appalachian Mountains was most closely associated with mean minimum temperature, degree days >5°C remained the best predictor of range-wide variation in growth potential (R 2 = 0.41). The contemporary distribution and inter-population genetic variation were projected into future climates predicted by three General Circulation Models, two scenarios, and three time steps. All projections indicate early and sustained deterioration in the contemporary habitat. Concurrence among projections regarding the redistribution of suitable habitat to the north of the contemporary distribution identifies geographic locations with the highest probability of supporting vigorous stands of P. strobus. Concurrences among genetic projections clarify the intraspecific redistribution required to conserve adaptive variation. The projections have direct relevance in developing management strategies for accommodating the changing climate.

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Section: Usfs and Southern Appalachian Test Series'mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Climatic niche, ecological genetics, and impact of climate change on eastern white pine (Pinus strobus L.): Guidelines for land managers

Joyce

Rehfeldt

2013

Forest Ecology and Management

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“…A avaliação das variáveis diâmetro e altura vem sendo utilizada em testes genéticos para prever a produtividade e estimar os parâmetros e ganhos com seleção. O desempenho dos materiais genéticos em diferentes locais permite avaliar a interação genótipos x ambientes e obter informações sobre adaptabilidade (DEMERITT; GARRET, 1996), além de estabilidade e produtividade. Segundo Paludzyszyn Filho et al (2001), quando os testes de progênies são realizados em vários locais, se caracterizam o desempenho relativo das progênies e a qualidade do ambiente, revelando a interação das progênies com os diferentes locais quando há diferenciação entre os ambientes.…”

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ESTUDO DA INTERAÇÃO GENÓTIPO X AMBIENTE EM PROGÊNIES DE Pinus taeda POR MEIO DA ANÁLISE DE PARÂMETROS GENÉTICOS

Martinez

Resende

Costa

et al. 2012

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ResumoO presente estudo objetivou avaliar parâmetros genéticos associados à heterogeneidade de variâncias e interação genótipos x ambientes, comparando-se os resultados obtidos pelos procedimentos Blup e Blup-Het, em testes de progênies de Pinus taeda L.. Os experimentos foram instalados sob delineamento de blocos ao acaso com 150 tratamentos, sendo três locais em Santa Catarina e dois no Paraná, com 5 e 9 blocos por local, respectivamente, 6 plantas por parcela em linhas simples. Aos 6 anos de idade, foram avaliados altura e diâmetro. No geral, os resultados mostraram que as variâncias residuais elevadas conduziram à heterogeneidade de variâncias, que, associadas às altas correlações genéticas entre os caracteres altura e diâmetro, apesar de semelhantes, indicam que o procedimento Blup-Het deve ser utilizado, pois a estimativa de parâmetros genéticos usando herdabilidade individual por progênie é mais precisa. A interação genótipos x ambientes foi baixa, em função das semelhanças entre os componentes de variância e das progênies selecionadas por critérios de adaptabilidade, estabilidade e produtividade. O programa de melhoramento genético pode ser conduzido em apenas um dos locais, tendo em vista a similaridade dos ambientes, demonstrado pelos baixos valores de coeficiente de determinação dos efeitos da interação genótipos x ambientes. Palavras-chave: Modelos lineares mistos; ganho com seleção; herdabilidade individual; heterogeneidade de variâncias. Abstract Study of genotype x environment interaction in progenies of Pinus taeda by analysis of genetic parameters.This study evaluated genetic parameters, heterogeneity of residual variances and genotype x environment interaction, comparing the results obtained by Blup and Blup-Het procedures in Pinus taeda L. progeny tests. Experiments were set in random blocks with 150 treatments. Three experiments were located in Santa Catarina state and two were set in Paraná state, Brazil, with 5 and 9 blocks per site, respectively, and six plants per plot. At 6 years old, the progenies were evaluated for height and diameter. In general, results demonstrated that high residual variance lead to variance heterogeneity. When variances are associated to high genetic correlations among height and diameter characters, they indicate that Blup-Het procedure should be used, even if they present similar results, because genetic parameters estimated based on individual heritability for progeny is more accurate. Genotype x environment interaction was low, given similarities among progeny variance and similarity components, selected by adaptability, stability and productivity criteria. The genetic improvement program may be conducted at one site, due to the environments similarities, as demonstrated by effects from genotype x environment interaction determination coefficient and genetic correlations across sites.

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Genetic parameters and genotype × environment interaction in Pinus taeda clonal tests

Braga

Paludeto

Souza

et al. 2020

Forest Ecology and Management

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Adaptation of eastern whitepine provenances to planting sites

Cited by 4 publications

References 1 publication

Climatic niche, ecological genetics, and impact of climate change on eastern white pine (Pinus strobus L.): Guidelines for land managers

Climatic niche, ecological genetics, and impact of climate change on eastern white pine (Pinus strobus L.): Guidelines for land managers

ESTUDO DA INTERAÇÃO GENÓTIPO X AMBIENTE EM PROGÊNIES DE Pinus taeda POR MEIO DA ANÁLISE DE PARÂMETROS GENÉTICOS

Genetic parameters and genotype × environment interaction in Pinus taeda clonal tests

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