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Joint modeling of additive and non-additive genetic line effects in single field trials |
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| Authors: | Helena Oakey Arūnas Verbyla Wayne Pitchford Brian Cullis Haydn Kuchel |
| Institution: | (1) BiometricsSA, School of Agriculture and Wine, University of Adelaide, PMB 1, Glen Osmond, SA, 5064, Australia;(2) Animal Science, School of Agriculture and Wine, University of Adelaide, Roseworthy, SA, 5371, Australia;(3) Biometrics, NSW Department of Primary Industries, Wagga Wagga Agricultural Institute, Private Mail Bag Wagga, Wagga, NSW, 2650, Australia;(4) Plant Breeding Unit, Australian Grain Technologies, Perkins Building, Roseworthy, SA, 5371, Australia |
| Abstract: | A statistical approach is presented for selection of best performing lines for commercial release and best parents for future breeding programs from standard agronomic trials. The method involves the partitioning of the genetic effect of a line into additive and non-additive effects using pedigree based inter-line relationships, in a similar manner to that used in animal breeding. A difference is the ability to estimate non-additive effects. Line performance can be assessed by an overall genetic line effect with greater accuracy than when ignoring pedigree information and the additive effects are predicted breeding values. A generalized definition of heritability is developed to account for the complex models presented. |
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