Data/hora: 13/06/2024 04:01:20

Biblioteca(s): | Embrapa Mandioca e Fruticultura.
Data corrente: | 21/02/1992
Data da última atualização: | 21/02/1992
Autoria: | KNAPP, S. J.; BRIDGES W. C.
Afiliação: | Oregon State University, Carvallis, Oregon 97731, and Clemson University, Clemson, South Carolina 29634.
Título: | Using Molecular Markers to Estimate Quantitative Trait Locus Parameters: Power and Genetic Variances for Unreplicated and Replicated Progeny.
Ano de publicação: | 1990
Fonte/Imprenta: | Genetics v.126, p.769-777, 1990.
Idioma: | Inglês
Conteúdo: | Many of the progeny types used to estimate quantitative trait locus (QTL) parameters can be replicated, e. g., recombinant inbred, doubled haploid, and F3 lines. These parameters are estimated using molecular markers or QTL genotypes estimated from molecular markers as independent variables. Experiment designs for replicated progeny are functions of the number of replications per line (r) and the number of replications per QTL genotype (n). The value of n is determined by the size of the progeny population (n), the progeny are functions of the number of simultaneously estimated QTL parameters (q - 1). Power for testing hypotheses about means of QTL genotypes is increase by increasing r and n, but the effects of these factors have not been quantified. In thispaper, we describe how power is affected by r, n, and other factors. This can be achieved by fitting N - 1 independet QTL parameters. Significant power invreases are seldom achieved by using replicated progeny unless a significant fraction of the genetic variance between lines is explained by simultaneously estimated QTL parameters. QTL parameter estimation algorithms are proposed which maximize power by minimizing.
Palavras-Chave: | Genotipos; parametro.
Thesagro: | Tecnologia.
Categoria do assunto: | --
Registro original: | Embrapa Mandioca e Fruticultura (CNPMF)
Exemplares: | CNPMF - (15494-1) - ADC - SP - -- - S3243 -  - S3243 - DIS