Literature DB >> 17241984

Clonal variation in crown structure, absorbed photosynthetically active radiation and growth of loblolly pine and slash pine.

Veronica I Emhart1, Timothy A Martin, Timothy L White, Dudley A Huber.   

Abstract

Crown structure, absorbed photosynthetically active radiation (APAR) and growth were analyzed in 300 replicated loblolly (Pinus taeda L.) and slash pine (Pinus elliottii Engelm. var. elliotti) clones to: (1) quantify genetic variation in crown structural traits, growth and APAR at the species, family and clonal levels; and (2) estimate within-family genetic and environmental influences on measured variables. Species and family-within-species differences were found in some growth traits, crown size, leaf area, APAR and branch angle. Loblolly pine developed larger crowns, exposed more leaf area with an acute angle, and intercepted more radiation than slash pine. Significant differences among clones within-family were found for stem volume and crown architecture. Loblolly pine and slash pine within-family, individual-tree broad-sense heritabilities ranged from 0.00 to 0.41 for growth and crown structural traits and most were between 0.10 and 0.25 when estimated from a combined analysis across families. Genetic correlations of crown size, leaf area and APAR with volume increment generally ranged from 0.60 to 0.75. This knowledge of the genetic interactions among growth and crown structural traits improves our understanding of how crown morphology affects light interception and stand development, and ultimately how these attributes can be incorporated in the selection of families or clones for the development of new crop tree ideotypes.

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Year:  2007        PMID: 17241984     DOI: 10.1093/treephys/27.3.421

Source DB:  PubMed          Journal:  Tree Physiol        ISSN: 0829-318X            Impact factor:   4.196


  4 in total

1.  Simulating carbon dioxide exchange rates of deciduous tree species: evidence for a general pattern in biochemical changes and water stress response.

Authors:  Robert F Reynolds; William L Bauerle; Ying Wang
Journal:  Ann Bot       Date:  2009-06-30       Impact factor: 4.357

2.  Exploring the importance of within-canopy spatial temperature variation on transpiration predictions.

Authors:  William L Bauerle; Joseph D Bowden; G Geoff Wang; Mohamed A Shahba
Journal:  J Exp Bot       Date:  2009-06-26       Impact factor: 6.992

3.  Accuracy of genomic selection methods in a standard data set of loblolly pine (Pinus taeda L.).

Authors:  M F R Resende; P Muñoz; M D V Resende; D J Garrick; R L Fernando; J M Davis; E J Jokela; T A Martin; G F Peter; M Kirst
Journal:  Genetics       Date:  2012-01-23       Impact factor: 4.562

4.  Leaf area and light use efficiency patterns of Norway spruce under different thinning regimes and age classes.

Authors:  Martin Gspaltl; William Bauerle; Dan Binkley; Hubert Sterba
Journal:  For Ecol Manage       Date:  2013-01-15       Impact factor: 3.558

  4 in total

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