Performance of improved genotypes of loblolly pine across different soils, climates, and silvicultural inputs

McKeand, Steven E.; Jokela, Eric J.; Huber, D. M.; Byram, Thomas D.; Allen, H. Lee; Li, Bai-Lian; Mullin, T. J.

doi:10.1016/j.foreco.2006.02.016

Cited by 105 publications

(71 citation statements)

References 22 publications

(17 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Parent 2 may harbor more than one Fr gene, based on segregation for genes at Fr1 and the new locus on linkage group 11. As analyses proceed in more advanced pedigrees, it should be expected that parents with multiple Fr genes will be detected, especially given the importance of rust resistance as a selected trait and the opportunities for Fr gene -stacking‖ to have occurred during the first, second and/or third breeding cycle of southern pine tree improvement [28][29][30][33][34][35] Parent 2 is an interesting example in which the markers linked to Fr1 and the linkage group 11 locus enabled the detection of these Fr genes in only the one gall and in both inocula, respectively. Thus, the inocula served as differentials for the Fr genes, and the markers provided the information on their locations.…”

Section: Genetic Architecture Of Rust Resistancementioning

confidence: 99%

Mapping Fusiform Rust Resistance Genes within a Complex Mating Design of Loblolly Pine

Quesada

Resende

Muñoz

et al. 2014

Forests

View full text Add to dashboard Cite

Fusiform rust resistance can involve gene-for-gene interactions where resistance (Fr) genes in the host interact with corresponding avirulence genes in the pathogen, Cronartium quercuum f.sp. fusiforme (Cqf). Here, we identify trees with Fr genes in a loblolly pine population derived from a complex mating design challenged with two Cqf inocula (one gall and 10 gall mixtures). We used single nucleotide polymorphism (SNP) genotypes at sufficient density to ensure linkage between segregating markers and Fr genes identifying SNPs that explained high proportions of variance in disease incidence using BayesC, that also were significant using Bayesian Association with Missing Data OPEN ACCESSForests 2014, 5 348 (BAMD) software. Two SNPs mapped near Fr1 and generated significant LOD scores in single marker regression analyses for Fr1/fr1 parent 17 as well as four other parents. One SNP mapped near Fr8 and was significant for parent 28. Two SNPs mapped to linkage groups not previously shown to contain Fr genes and were significant for three parents. Parent 2 showed evidence of Fr gene stacking. Our results suggest that it is feasible to identify trees segregating for Fr genes, and to map Fr genes, based on parental analysis of SNPs that cosegregate with disease incidence in designed resistance screening trials.

show abstract

Section: Genetic Architecture Of Rust Resistancementioning

confidence: 99%

Mapping Fusiform Rust Resistance Genes within a Complex Mating Design of Loblolly Pine

Quesada

Resende

Muñoz

et al. 2014

Forests

View full text Add to dashboard Cite

show abstract

“…High correlations among growth traits were also found by Paludzyszyn Filho et al (2002) and Martinez et al (2012) in Pinus taeda propagated by seminiferous way. Strong positive genotypic correlations for growth traits were obtained from Pseudotsuga menziesii clones propagated via somatic embryogenesis (DEAN, 2008).…”

Section: Genetic Correlation Among Selection Traits and Localmentioning

confidence: 76%

“…Although aspects related to space and time savings have been mentioned as advantages of early selection (LAMBETH, 1980;REZENDE et al, 1994;WU, 1998;PIRES et al, 2011), its usagee has mainly aimed to reducing the selection cycle duration (LAMBETH, 1980;MCKEAND, 1988;MATHESON et al, 1994;MCKEAND et al, 2006;DEAN, 2008), reducing the required time for evaluation and selection, and maximizing the genetic gain per time unit (year) (REZENDE et al, 1994;LAMBETH;DILL, 2001;GONÇALVES et al, 2005;DEAN, 2008;PIRES et al, 2011.). Thus, in early selection, traits evaluated in the previous rotation ages are used as predictors of traits economically important in rotation age (RESENDE, 1995;DEAN, 2008;PIRES et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

JUVENILE-MATURE GENETIC CORRELATIONS IN Pinus taeda CLONES PROPAGATED VIA SOMATIC EMBRYOGENESIS

et al. 2016

View full text Add to dashboard Cite

-This study aimed to estimate the genetic correlation among selection ages (juvenile -adult) and efficiency of early selection for the height, diameter, and volume traits of individuals from Pinus taeda families propagated via somatic embryogenesis. This study was carried out by genetic-statistical analysis, estimation procedure of variance (Reml), and prediction components of breeding values (Blup), using the Selegen-Reml/ Blup software. Genetic correlations among juvenile ages and rotation age were performed by applying the linear model developed by Lambeth (1980). In accordance with results of the established model, the early selection can be performed in clones of Pinus taeda with high selection efficiency. Ages from 4 to 6 years old are enough to select Pinus taeda clones propagated via somatic embryogenesis for harvesting at 8 and 12 years old; and 6 to 10 years old are enough to select them for harvesting at 20 years old. On the basis of the genetic correlations estimates from the environments, the clones' selection of Pinus taeda propagated via somatic embryogenesis should be developed specifically for each environment. The clones' selection can be performed considering the diameter due to the high correlation between volume and diameter.

show abstract

“…For individual clones which have no genetic variation (McKeand et al 2006) from one tree to the next, uniformity in GLD and height is expected to be high (Martin et al 2001, Bettinger et al 2009) compared to the uniformity within half-sib genotypes, which is what was observed for height but not for height growth and GLD growth (Fig. 3).…”

Section: Discussionmentioning

confidence: 92%

“…Large scale planting of genetically improved stock loblolly pine will inevitably have a significant impact on the future wood supply and forest management practices across the southern US (Li et al 1999b). Across the southeastern US improved genetics and intensive culture such as N and P fertilization and completion control have significantly increased the productivity of loblolly pine (Albaugh et al 1998, McKeand et al 2006, Fox et al 2007, Subedi et al 2012.…”

Section: Introductionmentioning

confidence: 99%

Effect of seedling stock on the early stand development and physiology of improved loblolly pine (Pinus taeda L.) seedlings

Sharma¹,

Adams²,

Schuler³

et al. 2016

iForest

View full text Add to dashboard Cite

, Don C Bragg (5) This study assessed the effects of spacing and genotype on the growth and physiology of improved loblolly pine (Pinus taeda L.) seedlings from three distinct genotypes planted in Drew County, Arkansas (USA). Genotype had a significant effect on survival and height. Clone CF Var 1 showed greater height and survival compared to other seedlings. Genotype had significant effects on uniformity in height both years and ground line diameter (GLD) first year. However, genotype had no significant effects on leaf water potential and coefficient variation of leaf water potential. These growth and physiology should be further studied to assess potential genetic differences among seedlings and to determine if they can be identified early for improved growth at later ages.

show abstract

Performance of improved genotypes of loblolly pine across different soils, climates, and silvicultural inputs

Cited by 105 publications

References 22 publications

Mapping Fusiform Rust Resistance Genes within a Complex Mating Design of Loblolly Pine

Mapping Fusiform Rust Resistance Genes within a Complex Mating Design of Loblolly Pine

JUVENILE-MATURE GENETIC CORRELATIONS IN Pinus taeda CLONES PROPAGATED VIA SOMATIC EMBRYOGENESIS

Effect of seedling stock on the early stand development and physiology of improved loblolly pine (Pinus taeda L.) seedlings

Contact Info

Product

Resources

About