Identification of quantitative trait loci influencing annual height- and diameter-increment growth in loblolly pine (Pinus taeda L.)

1999 ◽  
Vol 98 (3-4) ◽  
pp. 586-592 ◽  
Author(s):  
Z. Kaya ◽  
M. M. Sewell ◽  
D. B. Neale
Keyword(s):  
Quantitative Trait Loci ◽  
Pinus Taeda ◽  
Loblolly Pine ◽  
Quantitative Trait ◽  
Diameter Increment ◽  
Trait Loci ◽  
Pinus Taeda L ◽  
Increment Growth

scholarly journals Identification of quantitative trait loci influencing wood specific gravity in an outbred pedigree of loblolly pine.

Genetics ◽  
1994 ◽  
Vol 138 (4) ◽  
pp. 1293-1300
Author(s):  
A Groover ◽  
M Devey ◽  
T Fiddler ◽  
J Lee ◽  
R Megraw ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Specific Gravity ◽  
Loblolly Pine ◽  
Quantitative Trait ◽  
Marker Locus ◽  
Multiple Alleles ◽  
Wood Specific Gravity ◽  
Trait Loci ◽  
Marker Loci ◽  
Pinus Taeda L

Abstract We report the identification of quantitative trait loci (QTL) influencing wood specific gravity (WSG) in an outbred pedigree of loblolly pine (Pinus taeda L.). QTL mapping in an outcrossing species is complicated by the presence of multiple alleles (> 2) at QTL and marker loci. Multiple alleles at QTL allow the examination of interaction among alleles at QTL (deviation from additive gene action). Restriction fragment length polymorphism (RFLP) marker genotypes and wood specific gravity phenotypes were determined for 177 progeny. Two RFLP linkage maps were constructed, representing maternal and paternal parent gamete segregations as inferred from diploid progeny RFLP genotypes. RFLP loci segregating for multiple alleles were vital for aligning the two maps. Each RFLP locus was assayed for cosegregation with WSG QTL using analysis of variance (ANOVA). Five regions of the genome contained one or more RFLP loci showing differences in mean WSG at or below the P = 0.05 level for progeny as grouped by RFLP genotype. One region contained a marker locus (S6a) whose QTL-associated effects were highly significant (P > 0.0002). Marker S6a segregated for multiple alleles, a prerequisite for determining the number of alleles segregating at the linked QTL and analyzing the interactions among QTL alleles. The QTL associated with marker S6a appeared to be segregating for multiple alleles which interacted with each other and with environments. No evidence for digenic epistasis was found among the five QTL.

Fractal analysis of foliage distribution in loblolly pine crowns

1998 ◽  
Vol 28 (1) ◽  
pp. 106-114 ◽  
Author(s):  
Boris Zeide
Keyword(s):  
Fractal Dimension ◽  
Pinus Taeda ◽  
Loblolly Pine ◽  
Spatial Factors ◽  
Diameter Increment ◽  
Single Crown ◽  
Loblolly Pines ◽  
Fractal Characteristics ◽  
Foliage Density ◽  
Pinus Taeda L

A new method for estimating fractal characteristics (fractal dimension and foliage density) of a single crown or its portions is developed. The proposed method operates with volume and mass of natural units of the crown, such as shoots and branches, rather than with numbers of regular cubes. Fractal dimension alone is not sufficient to describe foliage distribution in the crown because it says nothing about the density of foliage at a given point. The density is defined as the ratio of foliage mass to fractal volume it occupies. Fortunately, the intercept of the regression, which contains fractal dimension as the slope, provides a measure of foliage density. Thus the method makes it possible to separate purely spatial factors represented by fractal dimension from ecophysiological effects characterized by foliage density. Application of the method showed that neither fractal dimension nor foliage density of the studied loblolly pines (Pinus taeda L.) correlates with current diameter increment. At the same time, there is a pronounced negative correlation between fractal dimension and crown size. These results suggest that as crowns become larger, the amount of foliage located at the crown periphery increases in proportion to the foliage amount inside the crown. As a spin-off of this analysis, a method for estimating relative foliage density (defined as the ratio of actual to maximal foliage mass for a given branch) is developed.

scholarly journals Quantitative trait loci influencing forking defects in an outbred pedigree of loblolly pine

BMC Genetics ◽  
2016 ◽  
Vol 17 (1) ◽  
Author(s):  
Jin S. Xiong ◽  
Steven E. McKeand ◽  
Fikret Isik ◽  
Jill Wegrzyn ◽  
David B. Neale ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Loblolly Pine ◽  
Quantitative Trait ◽  
Trait Loci

Multiple marker mapping of quantitative trait loci in an outbred pedigree of loblolly pine

1997 ◽  
Vol 94 (6-7) ◽  
pp. 810-820 ◽  
Author(s):  
S. A. Knott ◽  
D. B. Neale ◽  
M. M. Sewell ◽  
C. S. Haley
Keyword(s):  
Quantitative Trait Loci ◽  
Loblolly Pine ◽  
Quantitative Trait ◽  
Trait Loci

Identification of cis-regulated genes in quantitative trait loci driving liver fibrosis

2012 ◽  
Vol 50 (08) ◽  
Author(s):  
R Hall ◽  
R Müllenbach ◽  
S Huss ◽  
R Alberts ◽  
K Schughart ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Liver Fibrosis ◽  
Quantitative Trait ◽  
Trait Loci
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