Literature DB >> 24202681

Relationship between single-cross performance and molecular marker heterozygosity.

R Bernardo1.   

Abstract

In studies involving isozymes or restriction fragment length polymorphisms (RFLPs), correlations of parental molecular marker diversity with grain yield of maize (Zea mays L.) single-crosses have been too low to be of any predictive value. The relationship of molecular marker heterozygosity (Dij) with hybrid performance (μ ij) and combining ability was examined. For a simple genetic model involving uncorrelated parental allele frequencies and complete coverage of quantitative trait loci (QTL) by molecular markers, the correlations between μ ij and Dij were ≤0.25. μ ij and Dij were partitioned into general and specific effects. The expected correlation between specific combining ability and specific molecular marker heterozygosity is high. Expected correlations between general combining ability and general molecular marker heterozygosity are either positive or negative, depending on allele frequencies in the tester lines. Computer simulation was used to investigate a more complex but more realistic genetic model involving incomplete coverage of QTL by molecular markers. All of the following conditions are necessary for effective prediction of hybrid performance based on molecular marker heterozygosity: (1) dominance effects are strong; (2) allele frequencies at individual loci in the parental inbreds are negatively correlated; (3) trait heritability is high; (4) average parental allele frequencies vary only within a narrow range; (5) at least 30-50% of the QTL are linked to molecular markers; and (6) not more than 20-30% of the molecular markers are randomly dispersed or unlinked to QTL.

Entities:  

Year:  1992        PMID: 24202681     DOI: 10.1007/BF00226908

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


  2 in total

1.  Codominant isoenzymic alleles as markers of genetic diversity correlated with heterosis in maize (Zea mays).

Authors:  E Heidrich-Sobrinho; A R Cordeiro
Journal:  Theor Appl Genet       Date:  1975-01       Impact factor: 5.699

2.  Relationship of restriction fragment length polymorphisms to single-cross hybrid performance of maize.

Authors:  E B Godshalk; M Lee; K R Lamkey
Journal:  Theor Appl Genet       Date:  1990-08       Impact factor: 5.699

  2 in total
  21 in total

1.  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

2.  Classical genetic and quantitative trait loci analyses of heterosis in a maize hybrid between two elite inbred lines.

Authors:  Elisabetta Frascaroli; Maria Angela Canè; Pierangelo Landi; Giorgio Pea; Luca Gianfranceschi; Marzio Villa; Michele Morgante; Mario Enrico Pè
Journal:  Genetics       Date:  2007-03-04       Impact factor: 4.562

3.  The effect of population structure on the relationship between heterosis and heterozygosity at marker loci.

Authors:  A Charcosset; L Essioux
Journal:  Theor Appl Genet       Date:  1994-10       Impact factor: 5.699

4.  RFLP variation and genealogical distance, multivariate distance, heterosis, and genetic variance in oats.

Authors:  H Moser; M Lee
Journal:  Theor Appl Genet       Date:  1994-03       Impact factor: 5.699

5.  Heterosis and combining ability in cytoplasmic male sterile and doubled haploid based Brassica oleracea progenies and prediction of heterosis using microsatellites.

Authors:  Saurabh Singh; S S Dey; Reeta Bhatia; Raj Kumar; Kanika Sharma; T K Behera
Journal:  PLoS One       Date:  2019-08-19       Impact factor: 3.240

6.  Comparison of phenotypic and molecular distances to predict heterosis and F1 performance in Ethiopian mustard (Brassica carinata A. Braun).

Authors:  Adefris Teklewold; Heiko C Becker
Journal:  Theor Appl Genet       Date:  2005-12-20       Impact factor: 5.699

7.  Prediction of hybrid performance in maize using molecular markers and joint analyses of hybrids and parental inbreds.

Authors:  Tobias A Schrag; Jens Möhring; Albrecht E Melchinger; Barbara Kusterer; Baldev S Dhillon; Hans-Peter Piepho; Matthias Frisch
Journal:  Theor Appl Genet       Date:  2009-11-15       Impact factor: 5.699

8.  Genetic architecture of nonadditive inheritance in Arabidopsis thaliana hybrids.

Authors:  Danelle K Seymour; Eunyoung Chae; Dominik G Grimm; Carmen Martín Pizarro; Anette Habring-Müller; François Vasseur; Barbara Rakitsch; Karsten M Borgwardt; Daniel Koenig; Detlef Weigel
Journal:  Proc Natl Acad Sci U S A       Date:  2016-11-01       Impact factor: 11.205

9.  Hybrid performance in taro (Colocasia esculenta) in relation to genetic dissimilarity of parents.

Authors:  José Quero-García; P Letourmy; A Ivancic; P Feldmann; B Courtois; J L Noyer; V Lebot
Journal:  Theor Appl Genet       Date:  2009-04-12       Impact factor: 5.699

10.  Molecular marker heterozygosity and hybrid performance in indica and japonica rice.

Authors:  Q Zhang; Z Q Zhou; G P Yang; C G Xu; K D Liu; M A Saghai Maroof
Journal:  Theor Appl Genet       Date:  1996-12       Impact factor: 5.699

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