Literature DB >> 24306602

Doubled haploids for estimating genetic variances in presence of linkage and gene association.

T M Choo1, E Reinbergs.   

Abstract

The effect of gene association (or dispersion) and linkage on the estimation of genetic variances in a diallel experiment involving doubled haploid lines is evaluated. It is shown that the estimates of the additive and the additive X additive genetic variances, as obtained by Choo et al. (1979), are biased if genes are linked or are not independently distributed in the parents. However, this bias only occurs in the presence of interaction between homozygous loci. Gene association (or dispersion) and linkage, if present, can be detected by comparing the parental vs the crosses mean, the parental vs the doubled haploid lines variance, and the among vs the within crosses variance.

Year:  1979        PMID: 24306602     DOI: 10.1007/BF00295438

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


  3 in total

1.  Doubled haploids for estimating genetic variances and a scheme for population improvement in self-pollinating crops.

Authors:  T M Choo; B R Christie; E Reinbergs
Journal:  Theor Appl Genet       Date:  1979-11       Impact factor: 5.699

2.  Interaction and gene association and dispersion in diallel crosses where gene frequencies are unequal.

Authors:  A Coughtrey; K Mather
Journal:  Heredity (Edinb)       Date:  1970-02       Impact factor: 3.821

3.  High frequency haploid production in barley (Hordeum vulgare L.).

Authors:  K J Kasha; K N Kao
Journal:  Nature       Date:  1970-02-28       Impact factor: 49.962

  3 in total
  3 in total

1.  The genetical expectations of doubled haploid lines derived from different filial generations.

Authors:  J W Snape; E Simpson
Journal:  Theor Appl Genet       Date:  1981-03       Impact factor: 5.699

2.  Inheritance patterns of erucic acid content in populations of Brassica napus microspore-derived spontaneous diploids.

Authors:  J Siebel; K P Pauls
Journal:  Theor Appl Genet       Date:  1989-04       Impact factor: 5.699

Review 3.  Methods to predict transgressive segregation in barley and other self-pollinated crops.

Authors:  Anetta Kuczyńska; Maria Surma; Tadeusz Adamski
Journal:  J Appl Genet       Date:  2007       Impact factor: 2.653

  3 in total

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