Literature DB >> 24241202

Confidence interval estimators for heritability for several mating and experiment designs.

S J Knapp1, W C Bridges.   

Abstract

Confidence interval estimators have not been described for several heritability (H) estimators relevant to recurrent family selection. Previously described H interval estimators do not apply to onefactor mating designs in split-plot in time experiment designs in one or more locations, one-factor mating designs for several experiment designs in two or more locations and years, and two-factor mating designs for several experiment designs in two or more locations or years. Our objective was to derive H interval estimators for these cases. H reduced to a function of constants and a single expected mean square ratio in every case; H=1-E(M')/E(M″) where E(M') is a linear function of expected mean squares and E(M″) is a single expected mean square. It was shown that F'=[M″/E(M″)]/[M'/E(M')] has an approximate F-distribution with df″ and df' degrees of freedom, respectively, where M' and M″ are mean squares corresponding to E(M') and E(M″), respectively. H is a function of F', therefore, we used F' to define an approximate (1-α) interval estimator for H.

Year:  1987        PMID: 24241202     DOI: 10.1007/BF00260787

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


  2 in total

1.  An approximate distribution of estimates of variance components.

Authors:  F E SATTERTHWAITE
Journal:  Biometrics       Date:  1946-12       Impact factor: 2.571

2.  Confidence intervals for heritability for two-factor mating design single environment linear models.

Authors:  S J Knapp
Journal:  Theor Appl Genet       Date:  1986-08       Impact factor: 5.699

  2 in total
  10 in total

1.  Parametric and jackknife confidence interval estimators for two-factor mating design genetic variance ratios.

Authors:  S J Knapp; W C Bridges
Journal:  Theor Appl Genet       Date:  1988-09       Impact factor: 5.699

2.  High congruency of QTL positions for heterosis of grain yield in three crosses of maize.

Authors:  Chris C Schön; Baldev S Dhillon; H Friedrich Utz; Albrecht E Melchinger
Journal:  Theor Appl Genet       Date:  2009-11-13       Impact factor: 5.699

3.  Prediction of single-cross hybrid performance for grain yield and grain dry matter content in maize using AFLP markers associated with QTL.

Authors:  T A Schrag; A E Melchinger; A P Sørensen; M Frisch
Journal:  Theor Appl Genet       Date:  2006-08-03       Impact factor: 5.699

4.  Validation of Dwarf8 polymorphisms associated with flowering time in elite European inbred lines of maize (Zea mays L.).

Authors:  Jeppe R Andersen; Tobias Schrag; Albrecht E Melchinger; Imad Zein; Thomas Lübberstedt
Journal:  Theor Appl Genet       Date:  2005-06-03       Impact factor: 5.699

5.  Genomic predictability of interconnected biparental maize populations.

Authors:  Christian Riedelsheimer; Jeffrey B Endelman; Michael Stange; Mark E Sorrells; Jean-Luc Jannink; Albrecht E Melchinger
Journal:  Genetics       Date:  2013-03-27       Impact factor: 4.562

6.  Quantitative trait loci for early plant vigour of maize grown in chilly environments.

Authors:  Thomas Presterl; Milena Ouzunova; Walter Schmidt; Evelyn M Möller; Frank K Röber; Carsten Knaak; Karin Ernst; Peter Westhoff; Hartwig H Geiger
Journal:  Theor Appl Genet       Date:  2007-03-06       Impact factor: 5.699

7.  Population parameters for resistance to Fusarium graminearum and Fusarium verticillioides ear rot among large sets of early, mid-late and late maturing European maize (Zea mays L.) inbred lines.

Authors:  Martin Löffler; Bettina Kessel; Milena Ouzunova; Thomas Miedaner
Journal:  Theor Appl Genet       Date:  2009-12-25       Impact factor: 5.699

8.  Reliable confidence intervals in quantitative genetics: narrow-sense heritability.

Authors:  Thomas Fabbro; Anthony C Davison; Thomas Steinger
Journal:  Theor Appl Genet       Date:  2007-09-15       Impact factor: 5.574

9.  Genetic architecture of the maize kernel row number revealed by combining QTL mapping using a high-density genetic map and bulked segregant RNA sequencing.

Authors:  Changlin Liu; Qiang Zhou; Le Dong; Hui Wang; Fang Liu; Jianfeng Weng; Xinhai Li; Chuanxiao Xie
Journal:  BMC Genomics       Date:  2016-11-14       Impact factor: 3.969

10.  Consistent detection of QTLs for crown rust resistance in Italian ryegrass (Lolium multiflorum Lam.) across environments and phenotyping methods.

Authors:  Bruno Studer; Beat Boller; Eva Bauer; Ulrich K Posselt; Franco Widmer; Roland Kölliker
Journal:  Theor Appl Genet       Date:  2007-04-11       Impact factor: 5.574

  10 in total

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