scholarly journals Characterizing Fusiform Rust Incidence and Distribution in East Texas

1994 ◽  
Vol 18 (1) ◽  
pp. 29-34 ◽  
Author(s):  
J. David Lenhart ◽  
Timothy G. Gregoire ◽  
Gary D. Kronrad ◽  
A. Gordon Holley
Keyword(s):  
Geographic Distribution ◽  
Loblolly Pine ◽  
Age Groups ◽  
Pinus Elliottii ◽  
Slash Pine ◽  
East Texas ◽  
Age Classes ◽  
Fusiform Rust ◽  
Percentage Points ◽  
Pinus Taeda L

Abstract Three measurement cycles were completed on an extensive network of loblolly (Pinus taeda L.) pine and slash (Pinus elliottii Engelm.) pine plots in industrial plantations throughout East Texas in 1984, 1987, and 1990. Because the incidence of fusiform rust caused by Cronartium quercuum [Berk.] Miyabe ex Shirai f. sp. fusiforme had been recorded at each measurement, it is possible to characterize the temporal and geographic distribution of fusiform rust among these industrial pine plantations in East Texas. Average rust incidence for each species by two year age classes is presented. For loblolly pine, there is no apparent change in overall average incidence between 1987 and 1990, whereas for slash pine, there is an apparent overall average decline of about 7-8 percentage points. For some slash pine age classes, the incidence decline is 20-30 percentage points. Loblolly and slash pine rust incidence maps depict the geographic distribution of rust infection by plantation age groups in East Texas. South. J. Appl. For. 18(1):29-34.

scholarly journals Fusiform Rust Trends in East Texas: 1969-1987

1988 ◽  
Vol 12 (4) ◽  
pp. 259-261 ◽  
Author(s):  
J. David Lenhart ◽  
W. Thomas McGrath ◽  
Terry L. Hackett
Keyword(s):  
Pinus Taeda ◽  
Loblolly Pine ◽  
Pinus Elliottii ◽  
Slash Pine ◽  
Pine Plantations ◽  
East Texas ◽  
Infection Rates ◽  
Fusiform Rust ◽  
Cronartium Quercuum ◽  
Pinus Taeda L

Abstract Five surveys of pine plantations in East Texas over an 18-year period (1969-1987) indicated that fusiform rust (Cronartium quercuum [Berk.] Miyabe ex Shirai f. sp. fusiforme Birdsall and Snow) infection rates have increased to current levels of about 50% on slash pine (Pinus elliottii Engelm.) and are continuing to increase on loblolly pine (Pinus taeda L.) to 10-15% levels. South. J. Appl. For. 12(4):259-261.

scholarly journals Fusiform Rust Trends in East Texas

1986 ◽  
Vol 10 (4) ◽  
pp. 215-216 ◽  
Author(s):  
Ellis V. Hunt ◽  
J. David Lenhart
Keyword(s):  
Pinus Taeda ◽  
Loblolly Pine ◽  
Pinus Elliottii ◽  
Slash Pine ◽  
Pine Plantations ◽  
East Texas ◽  
Infection Rates ◽  
Fusiform Rust ◽  
Loblolly Pines ◽  
Pinus Taeda L

Abstract Four surveys of pine plantations in East Texas between 1969 and 1984 indicate that fusiform rust (Cronartium quercuum (Berk.) Miyabe ex Shirai f. sp. fusiforme) infection rates are increasing on slash pine (Pinus elliottii Engelm. var. elliottii) and either decreasing or about constant on loblolly pine (Pinus taeda L.). Currently, stem infections occur on about 1 in 2 slash pines and 1 in 14 loblolly pines. South. J. Appl. For. 10:215-216, Nov. 1986.

scholarly journals Site Index Equations for Loblolly and Slash Pine Plantations on Non-Old-Fields in East Texas

1986 ◽  
Vol 10 (2) ◽  
pp. 109-112 ◽  
Author(s):  
J. David Lenhart ◽  
Ellis V. Hunt ◽  
Jock A. Blackard
Keyword(s):  
Loblolly Pine ◽  
Pinus Elliottii ◽  
Growth Function ◽  
Site Index ◽  
Slash Pine ◽  
Old Fields ◽  
East Texas ◽  
Height Prediction ◽  
Index Index ◽  
Pinus Taeda L

Abstract Equations to estimate site index (index age 25 years) for plantations of loblolly pine (Pinus taeda L.) and slash pine (Pinus elliottii Engelm.) on non-old-fields in East Texas have been developed. The height-prediction curves were based on the Richards' growth function and track well within the range of the data (1-17 years). South. J. Appl. For. 10:109-112, May 1986.

scholarly journals A New Whole-Stand Model for Unmanaged Loblolly and Slash Pine Plantations in East Texas

2009 ◽  
Vol 33 (2) ◽  
pp. 69-76 ◽  
Author(s):  
Dean W. Coble
Keyword(s):  
Loblolly Pine ◽  
Basal Area ◽  
Pinus Elliottii ◽  
Current Data ◽  
Slash Pine ◽  
Pine Plantations ◽  
Growth And Yield ◽  
East Texas ◽  
Age Classes ◽  
Yield Model

Abstract A new compatible whole-stand growth-and-yield model to predict total tree cubic-foot volume per acre yield (outside and inside bark) was developed for unmanaged loblolly pine (Pinus taeda) and slash pine (Pinus elliottii) plantations in East Texas. This model was compared with the noncompatible whole-stand model of Lenhart (<xref ref-type="bibr" rid="B15-2127">Lenhart, 1996</xref>, Total and partial stand-level yield prediction for loblolly and slash pine plantations in east Texas, South. J. Appl. For. 20(1):36–41) and the <xref ref-type="bibr" rid="B15-2127">Lenhart (1996)</xref> model refit to current data. For the two species, all three models were evaluated with independent observed data. The model developed in this study outperformed both Lenhart models in prediction of future yield and basal area per acre for all age classes combined and by 5-year age classes. The Lenhart models consistently overestimated yield and basal area per acre. All three models predicted surviving trees per acre similarly. An example is also provided to show users how to use the new whole-stand model.

Projected gains in rotation-age volume and value from fusiform rust resistant slash and loblolly pines

1999 ◽  
Vol 29 (6) ◽  
pp. 737-742 ◽  
Author(s):  
Jeremy T Brawner ◽  
Douglas R Carter ◽  
Dudley A Huber ◽  
Timothy L White
Keyword(s):  
Loblolly Pine ◽  
Pinus Elliottii ◽  
Slash Pine ◽  
Planting Stock ◽  
Fusiform Rust ◽  
Marginal Value ◽  
Loblolly Pines ◽  
Rotation Age ◽  
The Difference ◽  
Pinus Taeda L

Midrotation data from large block plots of resistant and susceptible slash (Pinus elliottii Engelm.) and loblolly pine (Pinus taeda L.) were used in combination with the Georgia pine plantation simulator growth model to provide projected gains per hectare in volume and value generated by resistance to fusiform rust (Cronartium quercum (Berk.) Miyabe ex Shirai f.sp. fusiforme). The difference in the projected volume production between the resistant and susceptible planting stock of slash pine was larger than the difference between resistance levels in loblolly pine. The increases in projected volume and the reductions in percent infection of the resistant stock led to large differences in the value of the resistant and susceptible planting stock. At a 6% real discount rate, plantations of resistant slash pine were on average worth between 40.2 and 89.8% more than plantations of susceptible slash pine. Plantations of resistant loblolly were on average worth between 6.1 and 40.3% more than plantations of susceptible loblolly pine. However, the marginal value of rust resistance in loblolly was not significantly different from zero under the assumption that economic differences are only due to volume losses and not losses due to product degrade.

scholarly journals Comparison of Planted Loblolly and Slash Pine Performance in Southeast Texas

1993 ◽  
Vol 17 (1) ◽  
pp. 26-31 ◽  
Author(s):  
J. David Lenhart ◽  
Gary D. Kronrad ◽  
Michael S. Fountain
Keyword(s):  
Loblolly Pine ◽  
Tree Height ◽  
Pinus Elliottii ◽  
Slash Pine ◽  
Volume Index ◽  
Fusiform Rust ◽  
Tree Diameter ◽  
Stem Straightness ◽  
Southeast Texas ◽  
Total Tree

Abstract The performance of young (less than 10 yr) loblolly (Pinus taeda L.) and slash (Pinus elliottii Engelm.) pine trees was compared on planted sites in southeast Texas. Performance was compared for: total tree height; tree diameter; height to live tree crown; tree volume index,; incidenceof fusiform rust (Cronartium quercuum [Berk.] Miyabe ex Shirai f. sp. fusiforme); crookedness of stems; and survival rates. For these young trees, slash pine tended to perform better in southeast Texas than loblolly pine in total tree height, tree diameter, stem size, height to first livebranch and stem straightness. However, loblolly pine was less susceptible to fusiform rust than slash pine, and its mortality rate was lower than slash pine. However, based on the performance of these young plantations, a recommendation on the preferred pine species to plant in southeast Texasmight be premature. South. J. Appl. For. 17(1):26-31.

scholarly journals Influence of Planting Density on Diameter and Height in East Texas Pine Plantations

1998 ◽  
Vol 22 (4) ◽  
pp. 241-244 ◽  
Author(s):  
Young-Jin Lee ◽  
J. David Lenhart
Keyword(s):  
Average Diameter ◽  
Pinus Elliottii ◽  
Pine Plantations ◽  
Planting Density ◽  
Permanent Plots ◽  
Average Height ◽  
East Texas ◽  
Age Classes ◽  
Younger Age ◽  
Pinus Taeda L

Abstract The response of diameter and height of unthinned planted stands loblolly (Pinus taeda L.) and slash (Pinus elliottii Engelm.) pine in East Texas to different classes of planting densities were analyzed. After tracking the development of diameter and height for 15 yr on a set of permanent plots representing a broad range of plantation parameters, average diameter and average height trends were observed. For both species, average diameter values were significantly larger with lower planting densities. In contrast, average height growth is insensitive to planting density at younger age classes for loblolly and at older age classes for slash pine plantations. South. J. Appl. For. 22(4):241-244.

scholarly journals A Modified Stand Table Projection Growth Model for Unmanaged Loblolly and Slash Pine Plantations in East Texas

2011 ◽  
Vol 35 (3) ◽  
pp. 115-122 ◽  
Author(s):  
Micky G. Allen ◽  
Dean W. Coble ◽  
Quang V. Cao ◽  
Jimmie Yeiser ◽  
I-Kuai Hung
Keyword(s):  
Growth Model ◽  
Loblolly Pine ◽  
Pinus Elliottii ◽  
Slash Pine ◽  
Pine Plantations ◽  
Permanent Plots ◽  
East Texas ◽  
Diameter Class ◽  
Validation Data ◽  
New Models

Abstract Four methodologies to project future trees per acre by diameter class were compared to develop a new modified stand table projection growth model for unmanaged loblolly pine (Pinus taeda L.) and slash pine (Pinus elliottii Engelm.) plantations in East Texas. The new models were fit to 92,882 observations from 153 permanent plots located in loblolly pine plantations and 33,792 observations from 71 permanent plots located in slash pine plantations throughout East Texas. The new models were validated with 12,750 observations from 22 permanent plots and 3,724 observations from 9 permanent plots located in loblolly and slash pine plantations, respectively. The validation data were used to select between the four methodologies. The results indicated which of the new models produced the best results, based on error indexes calculated for trees per acre and basal area per acre at the stand table and diameter class levels across a range of projection lengths. We recommend that this new model be used by forest managers for projecting stand tables in East Texas loblolly and slash pine plantations. An example is also provided to show users how to use the new modified stand table projection model.

scholarly journals Fusiform Rust Incidence in Loblolly and Slash Pine Plantations in East Texas

1991 ◽  
Vol 15 (2) ◽  
pp. 79-84 ◽  
Author(s):  
Alexandros A. Arabatzis ◽  
Timothy G. Gregoire ◽  
J. David Lenhart
Keyword(s):  
Pinus Taeda ◽  
Regression Models ◽  
Multinomial Logistic Regression ◽  
Slash Pine ◽  
East Texas ◽  
Fusiform Rust ◽  
Logistic Regression Models ◽  
Free Tree ◽  
Pinus Taeda L ◽  
Over Time

Abstract A method to predict the incidence of fusiform rust (Cronartium quercuum [Berk.] Miyabe ex Shirai f. sp. fusiforme) in unthinned loblolly (Pinus taeda L.) and slash pine (Pinus elliotti Englem.) plantations located on non-old-fields in East Texas is presented. In addition, procedures are described to estimate changes in rust incidence over time as: 1. A rust-free tree remains rust free, develops stem or branch galls, or dies. 2. A tree with branch galls remains with branch galls only, develops stem galls, or dies. 3. A tree with stem galls remains with stem galls, or dies. Multinomial logistic regression models utilizing basic plantation parameters as predictors were fit to estimate current rust incidence and, then, the change in rust condition over time. South. J. Appl. For. 15(2):79-84.

Comparison of Slash Pine and Loblolly Pine Performance on Cutover Site-Prepared Sites in the Coastal Plain of Georgia and Florida

1989 ◽  
Vol 13 (4) ◽  
pp. 204-207 ◽  
Author(s):  
Bruce E. Borders ◽  
William M. Harrison
Keyword(s):  
Pinus Taeda ◽  
Loblolly Pine ◽  
Coastal Plain ◽  
Pinus Elliottii ◽  
Slash Pine ◽  
Comparison Study ◽  
Species Comparison ◽  
Pinus Taeda L ◽  
Better Than ◽  
Soil Groups

Abstract Age 8 measurements and analysis are reported and discussed for a large side-by-side loblolly pine (Pinus taeda L.)/slash pine (Pinus elliottii Engelm.) species comparison study. It is shown that loblolly pine performed better than slash pine in CRIFF soil groups A, D, F, and G whileslash pine and loblolly pine performed similarly in CRIFF soil groups B and C. South. J. Appl. For. 13(4):204-207.

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