Literature DB >> 24177823

Analysis of cytoplasmic and maternal effects. II. Genetic models for triploid endosperms.

J Zhu1, B S Weir.   

Abstract

Genetic models for quantitative traits of triploid endosperms are proposed for the analysis of direct gene effects, cytoplasmic effects, and maternal gene effects. The maternal effect is partitioned into maternal additive and dominance components. In the full genetic model, the direct effect is partitioned into direct additive and dominance components and high-order dominance component, which are the cumulative effects of three-allele interactions. If the high-order dominance effects are of no importance, a reduced genetic model can be used. Monte Carlo simulations were conducted in this study for demonstrating unbiasedness of estimated variance and covariance components from the MINQUE (0/1) procedure, which is a minimum norm quadratic unbiased estimation (MINQUE) method setting 0 for all the prior covariances and 1 for all the prior variances. Robustness of estimating variance and covariance components for the genetic models was tested by simulations. Both full and reduced genetic models are shown to be robust for estimating variance and covariance components under several situations of no specific effects. Efficiency of predicting random genetic effects for the genetic models by the MINQUE (0/1) procedure was compared with the best linear unbiased prediction (BLUP). A worked example is given to illustrate the use of the reduced genetic model for kernel growth characteristics in corn (Zea mays L.).

Entities:  

Year:  1994        PMID: 24177823     DOI: 10.1007/BF00225136

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


  7 in total

1.  Genetic interpretation and analysis of diallel crosses with animals.

Authors:  E J Eisen; G Hörstgen-Schwark; A M Saxton; T R Bandy
Journal:  Theor Appl Genet       Date:  1983-04       Impact factor: 5.699

2.  A theoretical model for quantitatively inherited traits influenced by nuclear-cytoplasmic interactions.

Authors:  W D Beavis; E Pollak; K J Frey
Journal:  Theor Appl Genet       Date:  1987-09       Impact factor: 5.699

3.  Models to estimate maternally controlled genetic variation in quantitative seed characters.

Authors:  M R Foolad; R A Jones
Journal:  Theor Appl Genet       Date:  1992-01       Impact factor: 5.699

4.  Analysis of cytoplasmic and maternal effects I. A genetic model for diploid plant seeds and animals.

Authors:  J Zhu; B S Weir
Journal:  Theor Appl Genet       Date:  1994-10       Impact factor: 5.699

5.  Genetic control of seed proteins in wheat.

Authors:  H S Dhaliwal
Journal:  Theor Appl Genet       Date:  1977-09       Impact factor: 5.699

6.  Quadratic analyses of reciprocal crosses.

Authors:  C C Cockerham; B S Weir
Journal:  Biometrics       Date:  1977-03       Impact factor: 2.571

7.  Variation in corn (Zea mays L.) for fatty acid compositions of triglycerides and phospholipids.

Authors:  E J Weber
Journal:  Biochem Genet       Date:  1983-02       Impact factor: 1.890

  7 in total
  10 in total

1.  Detecting relationships between amylose content and amino acid contents of indica rice with conditional approach.

Authors:  Chun Hai Shi; Qiong Qiong Zhu; Ke Ming Wang; Guo Ke Ge; Jian Guo Wu; Zhen Ghao Xu
Journal:  J Genet       Date:  2010-04       Impact factor: 1.166

2.  Analysis of genetic effects on nutrient quality traits in indica rice.

Authors:  C H Shi; J M Xue; Y G Yu; X E Yang; J Zhu
Journal:  Theor Appl Genet       Date:  1996-06       Impact factor: 5.699

Review 3.  Designing climate-resilient rice with ideal grain quality suited for high-temperature stress.

Authors:  Nese Sreenivasulu; Vito M Butardo; Gopal Misra; Rosa Paula Cuevas; Roslen Anacleto; Polavarpu B Kavi Kishor
Journal:  J Exp Bot       Date:  2015-02-05       Impact factor: 6.992

4.  Mixed linear model approach for mapping quantitative trait loci underlying crop seed traits.

Authors:  T Qi; B Jiang; Z Zhu; C Wei; Y Gao; S Zhu; H Xu; X Lou
Journal:  Heredity (Edinb)       Date:  2014-03-12       Impact factor: 3.821

5.  Genetic and genotype x environment interaction effects for the content of seven essential amino acids in indica rice.

Authors:  J G Wu; C H Shi; X M Zhang; T Katsura
Journal:  J Genet       Date:  2004-08       Impact factor: 1.166

6.  Cotton chromosome substitution lines crossed with cultivars: genetic model evaluation and seed trait analyses.

Authors:  Jixiang Wu; Jack C McCarty; Johnie N Jenkins
Journal:  Theor Appl Genet       Date:  2010-01-20       Impact factor: 5.699

7.  Analysis of genetic effects of nuclear-cytoplasmic interaction on quantitative traits: genetic models for seed traits of plants.

Authors:  Lide Han; Haiming Xu; Jun Zhu; Xiangyang Lou
Journal:  Theor Appl Genet       Date:  2008-02-19       Impact factor: 5.699

8.  Influence of outliers on QTL mapping for complex traits.

Authors:  Yousaf Hayat; Jian Yang; Hai-ming Xu; Jun Zhu
Journal:  J Zhejiang Univ Sci B       Date:  2008-12       Impact factor: 3.066

Review 9.  Relationship between High Temperature and Formation of Chalkiness and Their Effects on Quality of Rice.

Authors:  A Y M Nevame; R M Emon; M A Malek; M M Hasan; Md Amirul Alam; Farrah Melissa Muharam; Farzad Aslani; M Y Rafii; M R Ismail
Journal:  Biomed Res Int       Date:  2018-04-01       Impact factor: 3.411

10.  Effects of Interspecific Chromosome Substitution in Upland Cotton on Cottonseed Macronutrients.

Authors:  Nacer Bellaloui; Sukumar Saha; Jennifer L Tonos; Jodi A Scheffler; Johnie N Jenkins; Jack C McCarty; David M Stelly
Journal:  Plants (Basel)       Date:  2021-06-07
  10 in total

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