More about quantitative trait locus mapping with diallel designs

AHMED REBAÏ; BRUNO GOFFINET

doi:10.1017/S0016672399004358

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

We present a general regression-based method for mapping quantitative trait loci (QTL) by combining different populations derived from diallel designs. The model expresses, at any map position, the phenotypic value of each individual as a function of the specific-mean of the population to which the individual belongs, the additive and dominance effects of the alleles carried by the parents of that population and the probabilities of QTL genotypes conditional on those of neighbouring markers. Standard linear model procedures (ordinary or iteratively reweighted least-squares) are used for estimation and test of the parameters.

Crossref Citations

This article has been cited by the following publications. This list is generated based on data provided by Crossref.

Hayashi, Takeshi and Yasue, Hiroshi 2000. Japanese Journal of Biometrics, Vol. 21, Issue. 1, p. 51.

CrossRef

Kao, Chen-Hung 2000. On the Differences Between Maximum Likelihood and Regression Interval Mapping in the Analysis of Quantitative Trait Loci. Genetics, Vol. 156, Issue. 2, p. 855.

Mihaljevic, Renata Utz, H. Friedrich and Melchinger, Albrecht E. 2004. Congruency of Quantitative Trait Loci Detected for Agronomic Traits in Testcrosses of Five Populations of European Maize. Crop Science, Vol. 44, Issue. 1, p. 114.

Wu, Xiao-Lin and Jannink, Jean-Luc 2004. Optimal sampling of a population to determine QTL location, variance, and allelic number. Theoretical and Applied Genetics, Vol. 108, Issue. 7, p. 1434.

Mayer, M 2005. A comparison of regression interval mapping and multiple interval mapping for linked QTL. Heredity, Vol. 94, Issue. 6, p. 599.

Blanc, G. Charcosset, A. Mangin, B. Gallais, A. and Moreau, L. 2006. Connected populations for detecting quantitative trait loci and testing for epistasis: an application in maize. Theoretical and Applied Genetics, Vol. 113, Issue. 2, p. 206.

Verhoeven, K J F Jannink, J-L and McIntyre, L M 2006. Using mating designs to uncover QTL and the genetic architecture of complex traits. Heredity, Vol. 96, Issue. 2, p. 139.

Hu, Xin-Sheng 2007. A general framework for marker-assisted selection. Theoretical Population Biology, Vol. 71, Issue. 4, p. 524.

Zhong, Shengqiang and Jannink, Jean-Luc 2007. Using Quantitative Trait Loci Results to Discriminate Among Crosses on the Basis of Their Progeny Mean and Variance. Genetics, Vol. 177, Issue. 1, p. 567.

Blanc, Guylaine Charcosset, Alain Veyrieras, Jean-Baptiste Gallais, André and Moreau, Laurence 2008. Marker-assisted selection efficiency in multiple connected populations: a simulation study based on the results of a QTL detection experiment in maize. Euphytica, Vol. 161, Issue. 1-2, p. 71.

Zhu, Chengsong Gore, Michael Buckler, Edward S. and Yu, Jianming 2008. Status and Prospects of Association Mapping in Plants. The Plant Genome, Vol. 1, Issue. 1,

Cuesta-Marcos, Alfonso Casas, Ana M. Yahiaoui, Samia Gracia, M. Pilar Lasa, José M. and Igartua, Ernesto 2008. Joint analysis for heading date QTL in small interconnected barley populations. Molecular Breeding, Vol. 21, Issue. 3, p. 383.

Li, Xue-Bin Yu, Xiao-Ling Wang, San-Hu Tian, Meng-Chao Wang, Tie-Gu and Chang-Zhong, Liu 2009. Environmental Influence on Precision and Accuracy Estimating Gene Effect by Molecular Marker Regression Model. p. 132.

Li, Xue-Bin Yu, Xiao-Ling and Li, Bin 2009. Influence of Incomplete Linkage between Marked and Functional Gene on Estimating Gene Effect by Molecular Marker Regression Model. p. 418.

Yu, Xiao-Ling Shi, Ming-Wang Zhang, Xiao-Jian Xiang, Zhi-Feng and Wei, Gang-Cai 2009. Mathematical Relation between Types, Effect of Genes and Molecular Marker Genotype. p. 1.

AO, Yan HU, Zhi-qiu TANG, Zai-xiang WANG, Xue-feng and XU, Chen-wu 2009. A General Method for QTL Mapping in Multiple Related Populations Derived from Multiple Parents. Rice Science, Vol. 16, Issue. 1, p. 45.

LI, Xue-Bin Yu, Xiaoling Xiang, Zhifeng Zhao, Kun and Zhang, Xiaojian 2009. Locating QTLs Based on Estimating Gene Effect by Molecular Marker Regression Model. p. 1.

Sneller, C. H. Mather, D. E. and Crepieux, S. 2009. Analytical Approaches and Population Types for Finding and Utilizing QTL in Complex Plant Populations. Crop Science, Vol. 49, Issue. 2, p. 363.

Pratta, Guillermo Raúl Mahuad, Sabina Lara Díaz, Ariana Basté, Ezequiel Marchionni Liberatti, David Rodolfo Rodríguez, Gustavo Rubén and Zorzoli, Roxana 2011. Genética molecular de caracteres cuantitativos en cruzamientos dialélicos de tomate. Pesquisa Agropecuária Brasileira, Vol. 46, Issue. 5, p. 508.

Li, Huihui Bradbury, Peter Ersoz, Elhan Buckler, Edward S. Wang, Jiankang and Kliebenstein, Daniel 2011. Joint QTL Linkage Mapping for Multiple-Cross Mating Design Sharing One Common Parent. PLoS ONE, Vol. 6, Issue. 3, p. e17573.

Download full list

Article contents

More about quantitative trait locus mapping with diallel designs

Abstract

Save article to Kindle

Save article to Dropbox

Save article to Google Drive

Reply to: Submit a response

Your details

You have entered the maximum number of contributors

Conflicting interests