Literature DB >> 24258539

Methods for estimating gene numbers for quantitative characters using doubled haploid lines.

J W Snape1, A J Wright, E Simpson.   

Abstract

Three methods of estimating the numbers of genes segregating for quantitative characters using doubled haploid lines are presented. The first uses estimates of the range and genetical variance of an F1 or F2 derived population. The second adapts the genotype assay method of Jinks and Towey (1976) to F2 derived lines. The third uses the variances of an F2 derived population. Statistical problems of obtaining meaningful estimates using these methods are discussed and it is concluded that genotype assay is the best method for distinguishing between few and many genes. These methods are illustrated using data from an experiment containing doubled haploid lines of barley developed using the H. bulbosum system.

Entities:  

Year:  1984        PMID: 24258539     DOI: 10.1007/BF00317020

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


  3 in total

1.  Estimating the number of genes in a polygenic system by genotype assay.

Authors:  J L Jinks; P Towey
Journal:  Heredity (Edinb)       Date:  1976-08       Impact factor: 3.821

2.  The genetical expectations of doubled haploid lines derived from different filial generations.

Authors:  J W Snape; E Simpson
Journal:  Theor Appl Genet       Date:  1981-03       Impact factor: 5.699

3.  Complementary and duplicate gene interactions in biometrical genetics.

Authors:  K Mather
Journal:  Heredity (Edinb)       Date:  1967-02       Impact factor: 3.821

  3 in total
  5 in total

1.  Microarray analysis of gene expression in seeds of Brassica napus planted in Nanjing (altitude: 8.9 m), Xining (altitude: 2261.2 m) and Lhasa (altitude: 3658 m) with different oil content.

Authors:  San-Xiong Fu; Hao Cheng; Cunkou Qi
Journal:  Mol Biol Rep       Date:  2009-02-15       Impact factor: 2.316

2.  Evaluation of biometrical methods for estimating the number of genes : 2. Effect of type I and type II statistical errors.

Authors:  D K Mulitze; R J Baker
Journal:  Theor Appl Genet       Date:  1985-03       Impact factor: 5.699

3.  Identification of quantitative trait loci (QTL) for oil and protein contents and their relationships with other seed quality traits in Brassica juncea.

Authors:  T Mahmood; M H Rahman; G R Stringam; F Yeh; A G Good
Journal:  Theor Appl Genet       Date:  2006-09-08       Impact factor: 5.699

4.  Quantitative genetic analysis and mapping of leaf angle in durum wheat.

Authors:  Julio Isidro; Ron Knox; Fran Clarke; Asheesh Singh; Ron DePauw; John Clarke; Daryl Somers
Journal:  Planta       Date:  2012-08-07       Impact factor: 4.116

5.  Genetical investigations into β-glucan content in barley.

Authors:  W Powell; P D Caligari; J S Swanston; J L Jinks
Journal:  Theor Appl Genet       Date:  1985-12       Impact factor: 5.699

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.