Literature DB >> 16896718

Joint modeling of additive and non-additive genetic line effects in single field trials.

Helena Oakey1, Arūnas Verbyla, Wayne Pitchford, Brian Cullis, Haydn Kuchel.   

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.

Mesh:

Year:  2006        PMID: 16896718     DOI: 10.1007/s00122-006-0333-z

Source DB:  PubMed          Journal:  Theor Appl Genet        ISSN: 0040-5752            Impact factor:   5.699


  5 in total

1.  Additive and non-additive genetic parameters from clonally replicated and seedling progenies of Eucalyptus globulus.

Authors:  João Costa E Silva; Nuno M G Borralho; Brad M Potts
Journal:  Theor Appl Genet       Date:  2003-12-16       Impact factor: 5.699

2.  Estimation of additive genetic variance when base populations are selected.

Authors:  J H van der Werf; I J de Boer
Journal:  J Anim Sci       Date:  1990-10       Impact factor: 3.159

3.  Quantitative trait loci (QTL) detection in multicross inbred designs: recovering QTL identical-by-descent status information from marker data.

Authors:  Sébastien Crepieux; Claude Lebreton; Bertrand Servin; Gilles Charmet
Journal:  Genetics       Date:  2004-11       Impact factor: 4.562

4.  Variance components testing in the longitudinal mixed effects model.

Authors:  D O Stram; J W Lee
Journal:  Biometrics       Date:  1994-12       Impact factor: 2.571

5.  Genetic variance and breeding values for resistance to a wind-borne disease [Sphaerotheca macularis (Wallr. ex Fr.)] in strawberry (Fragaria x ananassa Duch.) estimated by exploring mixed and spatial models and pedigree information.

Authors:  Jahn Davik; Bjørn Ivar Honne
Journal:  Theor Appl Genet       Date:  2005-06-04       Impact factor: 5.699

  5 in total
  47 in total

1.  Studying the genetic basis of drought tolerance in sorghum by managed stress trials and adjustments for phenological and plant height differences.

Authors:  P K Sabadin; M Malosetti; M P Boer; F D Tardin; F G Santos; C T Guimarães; R L Gomide; C L T Andrade; P E P Albuquerque; F F Caniato; M Mollinari; G R A Margarido; B F Oliveira; R E Schaffert; A A F Garcia; F A van Eeuwijk; J V Magalhaes
Journal:  Theor Appl Genet       Date:  2012-05       Impact factor: 5.699

2.  Misspecification in Mixed-Model-Based Association Analysis.

Authors:  Willem Kruijer
Journal:  Genetics       Date:  2015-11-19       Impact factor: 4.562

3.  Multivariate analysis of maize disease resistances suggests a pleiotropic genetic basis and implicates a GST gene.

Authors:  Randall J Wisser; Judith M Kolkman; Megan E Patzoldt; James B Holland; Jianming Yu; Matthew Krakowsky; Rebecca J Nelson; Peter J Balint-Kurti
Journal:  Proc Natl Acad Sci U S A       Date:  2011-04-13       Impact factor: 11.205

4.  Computing heritability and selection response from unbalanced plant breeding trials.

Authors:  Hans-Peter Piepho; Jens Möhring
Journal:  Genetics       Date:  2007-11       Impact factor: 4.562

5.  Joint modeling of additive and non-additive (genetic line) effects in multi-environment trials.

Authors:  Helena Oakey; Arūnas P Verbyla; Brian R Cullis; Xianming Wei; Wayne S Pitchford
Journal:  Theor Appl Genet       Date:  2007-04-11       Impact factor: 5.699

6.  Multi-environment QTL mixed models for drought stress adaptation in wheat.

Authors:  Ky L Mathews; Marcos Malosetti; Scott Chapman; Lynne McIntyre; Matthew Reynolds; Ray Shorter; Fred van Eeuwijk
Journal:  Theor Appl Genet       Date:  2008-08-12       Impact factor: 5.699

7.  REML approach for adjusting the Fusarium head blight rating to a phenological date in inoculated selection experiments of wheat.

Authors:  K Emrich; F Wilde; T Miedaner; H P Piepho
Journal:  Theor Appl Genet       Date:  2008-04-05       Impact factor: 5.699

8.  Marker-based estimation of heritability in immortal populations.

Authors:  Willem Kruijer; Martin P Boer; Marcos Malosetti; Pádraic J Flood; Bas Engel; Rik Kooke; Joost J B Keurentjes; Fred A van Eeuwijk
Journal:  Genetics       Date:  2014-12-19       Impact factor: 4.562

9.  Hallauer's Tusón: a decade of selection for tropical-to-temperate phenological adaptation in maize.

Authors:  J E C Teixeira; T Weldekidan; N de Leon; S Flint-Garcia; J B Holland; N Lauter; S C Murray; W Xu; D A Hessel; A E Kleintop; J A Hawk; A Hallauer; R J Wisser
Journal:  Heredity (Edinb)       Date:  2014-11-05       Impact factor: 3.821

10.  Genome-wide association mapping in plants.

Authors:  Andrew W George; Colin Cavanagh
Journal:  Theor Appl Genet       Date:  2015-03-24       Impact factor: 5.699

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