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Genotype by environment interaction for index traits that combine growth and wood density in loblolly pine
Authors:S. E. McKeand  G. Eriksson  J. H. Roberds
Affiliation:(1) Tree Improvement Program, Box 8002, North Carolina State University, Raleigh, NC 27695-8002, USA, US;(2) Department of Forest Genetics, Swedish University of Agricultural Sciences, Box 7027, S-750 07, Uppsala, Sweden, SE;(3) USDA Forest Service, Southern Forest Experiment Station, 23332 Highway 67, Saucier, MS 39574, USA, US
Abstract: Genotype×environment interactions of individual traits have been assessed in numerous experiments with forest trees. However, since breeding programs rarely aim at the improvement of a single trait, the impact of G×E on index or composite traits must also be assessed. In a study with 12-year-old loblolly pine families in the southeastern U.S., G×E variance was of relatively little importance compared to genetic variance for wood density but was of greater significance for several growth traits. An index that combined stem volume and wood density to improve dry weight but maintain wood density constant (restricted selection index) resulted in substantially greater G×E variance compared to either of the component traits. The interaction variance of an index trait is shown to be a function of the index coefficients and the G×E variances and covariances for its constituent traits. As a result, for some conditions it surpasses the magnitude of G×E variance for each component trait. Received: 5 September 1996 / Accepted: 25 October 1996
Keywords:  Gain  K-statistic  Pinus taeda L.  Selection index  Stability  Tree improvement
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