Literature DB >> 19352740

Genetic variance, coefficient of parentage, and genetic distance of six soybean populations.

T Helms1, G Vallad, P McClean, J Orf.   

Abstract

Plant breeders would like to predict which biparental populations will have the largest genetic variance. If the population genetic variance could be predicted using coefficient of parentage or genetic distance estimates based on molecular marker data, breeders could choose parents that produced segregating populations with a large genetic variance. Three biparental soybean Glycine max (L.) Merr. populations were developed by crossing parents that were closely related, based on pedigree relationships. Three additional biparental populations were developed by crossing parents that were assumed to be unrelated. The genetic variance of each population was estimated for yield, lodging, physiological maturity, and plant height. Coefficient of parentage was calculated for each pair of parents used to develop the segregating populations. Genetic distance was determined, based on the number of random amplified polymorphic markers (RAPD) that were polymorphic for each pair of parents. Genetic distance was not associated with the coefficient of parentage or the magnitude of the genetic variance. The genetic variance pooled across the three closely related populations was smaller than the genetic variance pooled across the three populations derived from crossing unrelated parents for all four traits that were evaluated.

Entities:  

Year:  1997        PMID: 19352740     DOI: 10.1007/s001220050376

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


  7 in total

1.  Prediction of progeny variation in oat from parental genetic relationships.

Authors:  E Souza; M E Sorrells
Journal:  Theor Appl Genet       Date:  1991-08       Impact factor: 5.699

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Authors:  M Nei; W H Li
Journal:  Proc Natl Acad Sci U S A       Date:  1979-10       Impact factor: 11.205

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Authors:  R B Goldberg
Journal:  Biochem Genet       Date:  1978-02       Impact factor: 1.890

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Journal:  Cell       Date:  1978-05       Impact factor: 41.582

5.  Rapid identification of markers linked to a Pseudomonas resistance gene in tomato by using random primers and near-isogenic lines.

Authors:  G B Martin; J G Williams; S D Tanksley
Journal:  Proc Natl Acad Sci U S A       Date:  1991-03-15       Impact factor: 11.205

6.  Changes in genetic diversity in the red winter wheat regions of the United States.

Authors:  T S Cox; J P Murphy; D M Rodgers
Journal:  Proc Natl Acad Sci U S A       Date:  1986-08       Impact factor: 11.205

7.  Evaluation of soybean RFLP marker diversity in adapted germ plasm.

Authors:  P Keim; W Beavis; J Schupp; R Freestone
Journal:  Theor Appl Genet       Date:  1992-11       Impact factor: 5.699

  7 in total
  3 in total

1.  Heterosis of biomass production in Arabidopsis. Establishment during early development.

Authors:  Rhonda C Meyer; Ottó Törjék; Martina Becher; Thomas Altmann
Journal:  Plant Physiol       Date:  2004-04-02       Impact factor: 8.340

2.  The relationship between parental genetic or phenotypic divergence and progeny variation in the maize nested association mapping population.

Authors:  H-Y Hung; C Browne; K Guill; N Coles; M Eller; A Garcia; N Lepak; S Melia-Hancock; M Oropeza-Rosas; S Salvo; N Upadyayula; E S Buckler; S Flint-Garcia; M D McMullen; T R Rocheford; J B Holland
Journal:  Heredity (Edinb)       Date:  2011-10-26       Impact factor: 3.821

3.  Usefulness of multiparental populations of maize (Zea mays L.) for genome-based prediction.

Authors:  Christina Lehermeier; Nicole Krämer; Eva Bauer; Cyril Bauland; Christian Camisan; Laura Campo; Pascal Flament; Albrecht E Melchinger; Monica Menz; Nina Meyer; Laurence Moreau; Jesús Moreno-González; Milena Ouzunova; Hubert Pausch; Nicolas Ranc; Wolfgang Schipprack; Manfred Schönleben; Hildrun Walter; Alain Charcosset; Chris-Carolin Schön
Journal:  Genetics       Date:  2014-09       Impact factor: 4.562

  3 in total

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