Literature DB >> 17248353

Gene effects and variances in hybrid populations.

C W Stuber1, C C Cockerham.   

Abstract

Year:  1966        PMID： 17248353      PMCID： PMC1211293     

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


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  27 in total

1.  Modeling additive and non-additive effects in a hybrid population using genome-wide genotyping: prediction accuracy implications.

Authors:  J-M Bouvet; G Makouanzi; D Cros; Ph Vigneron
Journal:  Heredity (Edinb)       Date:  2015-09-02       Impact factor: 3.821

2.  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

3.  Marker-based estimation of the coefficient of coancestry in hybrid breeding programmes.

Authors:  S Maenhout; B De Baets; G Haesaert
Journal:  Theor Appl Genet       Date:  2009-02-18       Impact factor: 5.699

4.  Effects of two-locus linkage disequilibrium on progress from reciprocal recurrent selection in maize.

Authors:  G R Johnson
Journal:  Theor Appl Genet       Date:  1983-03       Impact factor: 5.699

5.  Random and fixed effects in plant genetics.

Authors:  C C Cockerham
Journal:  Theor Appl Genet       Date:  1980-05       Impact factor: 5.699

6.  Analysis of the genetic effects for several traits in oil palm (Elaeis guineensis Jacq.) populations. I. Population means.

Authors:  L Baudouin; T V Cao; A Gallais
Journal:  Theor Appl Genet       Date:  1995-03       Impact factor: 5.699

7.  Genome properties and prospects of genomic prediction of hybrid performance in a breeding program of maize.

Authors:  Frank Technow; Tobias A Schrag; Wolfgang Schipprack; Eva Bauer; Henner Simianer; Albrecht E Melchinger
Journal:  Genetics       Date:  2014-05-21       Impact factor: 4.562

8.  Prediction of maize single-cross hybrid performance: support vector machine regression versus best linear prediction.

Authors:  Steven Maenhout; Bernard De Baets; Geert Haesaert
Journal:  Theor Appl Genet       Date:  2009-11-11       Impact factor: 5.699

9.  Genome-based prediction of testcross values in maize.

Authors:  Theresa Albrecht; Valentin Wimmer; Hans-Jürgen Auinger; Malena Erbe; Carsten Knaak; Milena Ouzunova; Henner Simianer; Chris-Carolin Schön
Journal:  Theor Appl Genet       Date:  2011-04-20       Impact factor: 5.699

10.  Genomic selection prediction accuracy in a perennial crop: case study of oil palm (Elaeis guineensis Jacq.).

Authors:  David Cros; Marie Denis; Leopoldo Sánchez; Benoit Cochard; Albert Flori; Tristan Durand-Gasselin; Bruno Nouy; Alphonse Omoré; Virginie Pomiès; Virginie Riou; Edyana Suryana; Jean-Marc Bouvet
Journal:  Theor Appl Genet       Date:  2014-12-07       Impact factor: 5.699
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