Literature DB >> 8138172

The use of mixture models to detect effects of major genes on quantitative characters in a plant breeding experiment.

C Jiang1, X Pan, M Gu.   

Abstract

An analysis based on Elston's model of mixed major locus and polygenic inheritance is extended to include populations of progeny testing such as F3, B1s and B2s families derived from F2 and backcrosses in a cross between two inbred lines. Genetic hypotheses that can be validly tested by the likelihood ratio method in the analysis of a breeding experiment include homogeneity of variances due to environment and/or polygenes with transformable scale effect by Box-Cox power function, random and independent segregation of major genes, invariance of the effects of major genes with population types and additive and dominant models for polygenes. Testing hypotheses in the order suggested here can lead to a gradual simplification of the models and increases the feasibility of the subsequent analysis, but caution must be paid to the possible bias in parameter estimation and hypotheses tests. The procedure is applied to a set of data on plant height of rice with the effects of dwarf genes in crosses among three varieties. Two recessive dwarf genes are shown to be nonallelic and unlinked. One dwarf gene is shown to reduce plant height about 36-56 cm, and another 52-61 cm. The effect of polygenes, estimated as the standard deviation among possible inbred lines derived from these crosses, is about 11.7 cm. Interactions between the dwarf genes and the polygenic background are found, especially for one of the two genes. Both the polygenic effects and the interactions are much smaller than the effects of the major dwarf genes.

Entities:  

Mesh:

Year:  1994        PMID: 8138172      PMCID: PMC1205787     

Source DB:  PubMed          Journal:  Genetics        ISSN: 0016-6731            Impact factor:   4.562


  7 in total

1.  The isolation of polygenic factors controlling bristle score in Drosophila melanogaster. I. Allocation of third chromosome sternopleural bristle effects to chromosome sections.

Authors:  A E Shrimpton; A Robertson
Journal:  Genetics       Date:  1988-03       Impact factor: 4.562

2.  Mixture models for continuous data in dose-response studies when some animals are unaffected by treatment.

Authors:  D D Boos; C Brownie
Journal:  Biometrics       Date:  1991-12       Impact factor: 2.571

3.  Mapping mendelian factors underlying quantitative traits using RFLP linkage maps.

Authors:  E S Lander; D Botstein
Journal:  Genetics       Date:  1989-01       Impact factor: 4.562

4.  The analysis of quantitative traits for simple genetic models from parental, F 1 and backcross data.

Authors:  R C Elston; J Stewart
Journal:  Genetics       Date:  1973-04       Impact factor: 4.562

5.  Maximum likelihood techniques for the mapping and analysis of quantitative trait loci with the aid of genetic markers.

Authors:  J I Weller
Journal:  Biometrics       Date:  1986-09       Impact factor: 2.571

6.  Resolution of quantitative traits into Mendelian factors by using a complete linkage map of restriction fragment length polymorphisms.

Authors:  A H Paterson; E S Lander; J D Hewitt; S Peterson; S E Lincoln; S D Tanksley
Journal:  Nature       Date:  1988-10-20       Impact factor: 49.962

7.  The genetic analysis of quantitative trait differences between two homozygous lines.

Authors:  R C Elston
Journal:  Genetics       Date:  1984-11       Impact factor: 4.562

  7 in total
  1 in total

1.  Genetic dissection of the developmental behaviours of plant height in wheat under diverse water regimes.

Authors:  Xianshan Wu; Zhenghang Wang; Xiaoping Chang; Ruilian Jing
Journal:  J Exp Bot       Date:  2010-05-24       Impact factor: 6.992

  1 in total

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