Literature DB >> 8601500

Analysis of conditional genetic effects and variance components in developmental genetics.

J Zhu1.   

Abstract

A genetic model with additive-dominance effects and genotype x environment interactions is presented for quantitative traits with time-dependent measures. The genetic model for phenotypic means at time t conditional on phenotypic means measured at previous time (t-1) is defined. Statistical methods are proposed for analyzing conditional genetic effects and conditional genetic variance components. Conditional variances can be estimated by minimum norm quadratic unbiased estimation (MINQUE) method. An adjusted unbiased prediction (AUP) procedure is suggested for predicting conditional genetic effects. A worked example from cotton fruiting data is given for comparison of unconditional and conditional genetic variances and additive effects.

Mesh:

Year:  1995        PMID: 8601500      PMCID: PMC1206893     

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


  78 in total

1.  Mapping of QTL for tiller number at different stages of growth in wheat using double haploid and immortalized F2 populations.

Authors:  Zhuokun Li; Tao Peng; Quangang Xie; Shuxiao Han; Jichun Tian
Journal:  J Genet       Date:  2010-12       Impact factor: 1.166

2.  Timing of gene expression from different genetic systems in shaping leucine and isoleucine contents of rapeseed (Brassica napus L.) meal.

Authors:  Guolin Chen; Jianguo Wu; Murali-Tottekkaad Variath; Chunhai Shi
Journal:  J Genet       Date:  2011-12       Impact factor: 1.166

3.  Conditional QTL underlying resistance to late blight in a diploid potato population.

Authors:  Jingcai Li; Hannele Lindqvist-Kreuze; Zhendong Tian; Jun Liu; Botao Song; Juan Landeo; Leticia Portal; Manuel Gastelo; Julio Frisancho; Laura Sanchez; Dennis Meijer; Conghua Xie; Merideth Bonierbale
Journal:  Theor Appl Genet       Date:  2012-01-25       Impact factor: 5.699

4.  Functional mapping of quantitative trait loci associated with rice tillering.

Authors:  G F Liu; M Li; J Wen; Y Du; Y-M Zhang
Journal:  Mol Genet Genomics       Date:  2010-08-06       Impact factor: 3.291

5.  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

6.  Genetic dissection of the maize kernel development process via conditional QTL mapping for three developing kernel-related traits in an immortalized F2 population.

Authors:  Zhanhui Zhang; Xiangyuan Wu; Chaonan Shi; Rongna Wang; Shengfei Li; Zhaohui Wang; Zonghua Liu; Yadong Xue; Guiliang Tang; Jihua Tang
Journal:  Mol Genet Genomics       Date:  2015-09-29       Impact factor: 3.291

7.  Genetic analysis of fruit shape traits at different maturation stages in sponge gourd.

Authors:  Sheng Zhang; Jin Hu; Cai-fang Zhang; Ya-jing Guan; Ying Zhang
Journal:  J Zhejiang Univ Sci B       Date:  2007-05       Impact factor: 3.066

8.  Mapping QTLs of root morphological traits at different growth stages in rice.

Authors:  Yanying Qu; Ping Mu; Hongliang Zhang; Charles Y Chen; Yongming Gao; Yuxiu Tian; Feng Wen; Zichao Li
Journal:  Genetica       Date:  2007-09-07       Impact factor: 1.082

9.  Dynamic expression of nine QTLs for tiller number detected with single segment substitution lines in rice.

Authors:  Guifu Liu; Ruizhen Zeng; Haitao Zhu; Zemin Zhang; Xiaohua Ding; Fangming Zhao; Wentao Li; Guiquan Zhang
Journal:  Theor Appl Genet       Date:  2008-10-24       Impact factor: 5.699

10.  Molecular dissection of developmental behavior of plant height in rice (Oryza sativa L.).

Authors:  J Yan; J Zhu; C He; M Benmoussa; P Wu
Journal:  Genetics       Date:  1998-11       Impact factor: 4.562

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