Article Abstract:
Predicting barley yield variation among recombinant inbred lines is discussed. A study has been carried out to assess ability of a crop growth model with QTL-based estimates of physiological input parameters to the yield. The model predicts yield as spike biomass accumulates in the post-flowering period. A two-stage procedure for predicting trait values from estimated additive and epistatic effects of QTLs is described. Both types of input values often gave large discrepancies between observed and predicted values.
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Article Abstract:
Ecophysiological models have usefulness in quantitative trait loci (QTL) analysis, as can be shown with the example of specific leaf area (SLA) in barley. Crop development models can be important in QTL analysis of a trait that varies with developmental stage. The assumption is made that crop development rate is affected by daily effective temperature and can make the identification of QTL easier. Potential uses of ecophysiological crop growth models in QTL analysis are discussed.
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Article Abstract:
Methods available for quantitative trait locus (QTL) analysis in plants to segregate populations are reviewed and presented with some conclusions from analyses. It is shown that analytical methods locate QTL with poor precision, unless heritability of an individual QTL is high.
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