Effect of selection on shoot elongation rhythm of eastern white pine (Pinus strobus L.) and its implications to seed transfer in Ontario

Lu, Pengxin; Joyce, Dennis G.; Sinclair, Robert W.

doi:10.1016/s0378-1127(03)00008-2

Cited by 7 publications

(4 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…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%

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

View full text Add to dashboard Cite

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.

show abstract

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

View full text Add to dashboard Cite

show abstract

“…Northern regions of the white pine distribution especially lack important information. Provenance tests with 7year-old, Ontario seedlings identified opposing clinal gradients; seed can be moved northward 2.0-2.5°latitude without sacrificing growth potential or cold hardiness (Lu et al 2003a;b). However, to avoid significant reduction in growth potential, southward seed transfer is limited to 1.5-2.0°latitude (Joyce et al 2002).…”

Section: Deployment For Adaptabilitymentioning

confidence: 99%

“…Northern regions of the white pine distribution especially lack important information. Provenance tests with 7‐year‐old, Ontario seedlings identified opposing clinal gradients; seed can be moved northward 2.0–2.5° latitude without sacrificing growth potential or cold hardiness (L u et al. 2003a; b).…”

Section: Deploymentmentioning

confidence: 99%

A review of genetic approaches to the management of blister rust in white pines

King¹,

David²,

Noshad

et al. 2010

Forest Pathology

View full text Add to dashboard Cite

Summary Since introduced a century ago, Cronartium ribicola has devastated many populations of North American white pines. However, significant genetic resistance to white pine blister rust occurs naturally and can be exploited. In this review, we discuss the progress and different approaches to breeding for resistance in North American white pines. Three broad categories of resistance are: (1) ontogenetic resistance, (2) R‐gene resistance and (3) partial resistance. Ontogenetic resistance is associated with increased host age and indicated by higher susceptibility to infection in primary needles and young seedlings then in grafts and older trees. R‐gene resistance (major gene resistance) is an example of the classic gene‐for‐gene system common in many rust diseases. R‐gene resistance provides immunity but may not be durable. Host resistance and the corresponding rust virulence which defeats it are well described for sugar pine and western white pine. Host plants with partial resistance are able to retard or tolerate disease development without eliminating the pathogen. Partial resistance is also called slow‐rusting resistance or low‐level resistance and is revealed in seedlings by several responses, including slow‐canker‐growth, difficult‐to‐infect, needle‐shed and bark‐reaction. Most of these seedling responses are presumed to be multigenic; but needle‐shed may be controlled by recessive genes. Long‐term, field trials for verification of screening and selection results are sparse. Although 100% higher survival of selected material over unselected occurs in some trials, mortality is high under conditions of high hazard and heavy inoculum load. In several, long‐term trials, some full‐sib crosses expressed a strong phenotypic resistance that indicates specific combining ability between complimentary parents. These and other observations suggest that we might yet find strong and durable resistance. Study of Eurasian white pines infected by blister rust fungi could help us better understand endemic pathosystems. Different strategies are identified for deploying material selected for either R‐gene or partial resistance. Current research suggests that resistance is more complex than previously modelled, but new molecular techniques offer useful methods for investigating the white pine blister rust pathosystem.

show abstract

“…Selection of climatically adapted provenances for planting will help promote biologically and economically sustainable reforestation, afforestation, and gene conservation throughout the region. While genetic tree improvement studies have focused on optimizing selection of growth traits such as maximizing tree height (Joyce et al 2002;Lu et al 2003b), few studies have examined the effect of climatic sensitivity on these growth traits (Lu et al 2003a;Chhin 2008;Joyce and Rehfeldt 2013;Chhin 2015). Using growth-climate models and data collected from long-term white pine provenance tests, the specific objectives of this study were to use a dendroclimatological approach to: 1) Examine the degree of similarity in climatic sensitivity among the provenances planted at each of the 7 test sites.…”

Section: Introductionmentioning

confidence: 99%

Dendroclimatic analysis of white pine (Pinus strobus L.) using long-term provenance test sites across eastern North America

et al. 2018

View full text Add to dashboard Cite

Background: The main objective of this study was to examine the climatic sensitivity of the radial growth response of 13 eastern white pine (Pinus strobus L.) provenances planted at seven test sites throughout the northern part of the species' native distribution in eastern North America. Methods: The test sites (i.e., Wabeno, Wisconsin, USA; Manistique, Michigan, USA; Pine River, Michigan, USA; Newaygo, Michigan, USA; Turkey Point, Ontario, Canada; Ganaraska, Ontario, Canada; and Orono, Maine, USA) examined in this study were part of a range-wide white pine provenance trial established in the early 1960s in the eastern United States and Canada. Principal components analysis (PCA) was used to examine the main modes of variation [first (PC1) and second (PC2) principal component axes] in the standardized radial growth indices of the provenances at each test site. The year scores for PC1 and PC2 were examined in relation to an array of test site climate variables using multiple regression analysis to examine the commonality of growth response across all provenances to the climate of each test site. Provenance loadings on PC1 and PC2 were correlated with geographic parameters (i.e., latitude, longitude, elevation) and a suite of biophysical parameters associated with provenance origin location. Results: The amount of variation in radial growth explained by PC1 and PC2 ranged from 43.4% to 89.6%. Dendroclimatic models revealed that white pine radial growth responses to climate were complex and differed among sites. The key dendroclimatic relationships observed included sensitivity to high temperature in winter and summer, cold temperature in the spring and fall (i.e., beginning and end of the growing season), summer moisture stress, potential sensitivity to storminduced damage in spring and fall, and both positive and negative effects of higher winter snowfall. Separation of the loadings of provenances on principal component axes was mainly associated with temperature-related bioclimatic parameters of provenance origin at 5 of the 7 test sites close to the climate influence of the Great Lakes (i.e., Wabeno, Manistique, Pine River, Newaygo, and Turkey Point). In contrast, differences in radial growth response to climate at the Ganaraska test site, were driven more by precipitation-related bioclimatic parameters of the provenance origin location while radial growth at the easternmost Orono test site was independent of bioclimate at the provenance origin location. Conclusions: Study results suggest that genetic adaptation to temperature and precipitation regime may significantly influence radial growth performance of white pine populations selected for use in assisted migration programs to better adapt white pine to a future climate.

show abstract

Effect of selection on shoot elongation rhythm of eastern white pine (Pinus strobus L.) and its implications to seed transfer in Ontario

Cited by 7 publications

References 15 publications

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

A review of genetic approaches to the management of blister rust in white pines

Dendroclimatic analysis of white pine (Pinus strobus L.) using long-term provenance test sites across eastern North America

Contact Info

Product

Resources

About