Analysis of genetic relationships and diversity based on molecular marker data

Cultivars and landraces of a crop species represent the primary gene pool available to plant breeders for improvement of crop plants. Knowledge of relative genetic relationships among genotypes is useful in a breeding program because it permits organization of germplasm resources. The genetic relati...

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Autor principal: Nienhuis, James
Formato: Capítulo de libro
Lenguaje:Inglés
Publicado: International Center for Tropical Agriculture 1995
Materias:
Acceso en línea:https://hdl.handle.net/10568/82013
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author Nienhuis, James
author_browse Nienhuis, James
author_facet Nienhuis, James
author_sort Nienhuis, James
collection Repository of Agricultural Research Outputs (CGSpace)
description Cultivars and landraces of a crop species represent the primary gene pool available to plant breeders for improvement of crop plants. Knowledge of relative genetic relationships among genotypes is useful in a breeding program because it permits organization of germplasm resources. The genetic relationships among 76 Phaseolus vulgaris genotypes and breeding lines from Central America was estimated based on 80 polymorphic random amplification polymorphic DNA (RAPD) bands. Two major clusters were observed among the cultivars which corresponded with small red and black market classes. In order for plant breeders to make informed decisions regarding the sampling of germplasm resources knowledge of differences and variances between and within groups of genotypes is required. This report presents a procedure based on the ANOVA for determining differences between groups of individuals. In addition Nei's methods for measuring genetic diversity (marker variance) and test of homogeniety of variance is discussed. Finally, a procedure for estimation of sampling variance of molecular marker data is reviewed.
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spelling CGSpace820132025-11-05T16:56:15Z Analysis of genetic relationships and diversity based on molecular marker data Nienhuis, James phaseolus vulgaris genetic markers genetic variation genetic distance genotypes statistical analysis marcadores genéticos variación genética distancia genética genotipos análisis estadístico Cultivars and landraces of a crop species represent the primary gene pool available to plant breeders for improvement of crop plants. Knowledge of relative genetic relationships among genotypes is useful in a breeding program because it permits organization of germplasm resources. The genetic relationships among 76 Phaseolus vulgaris genotypes and breeding lines from Central America was estimated based on 80 polymorphic random amplification polymorphic DNA (RAPD) bands. Two major clusters were observed among the cultivars which corresponded with small red and black market classes. In order for plant breeders to make informed decisions regarding the sampling of germplasm resources knowledge of differences and variances between and within groups of genotypes is required. This report presents a procedure based on the ANOVA for determining differences between groups of individuals. In addition Nei's methods for measuring genetic diversity (marker variance) and test of homogeniety of variance is discussed. Finally, a procedure for estimation of sampling variance of molecular marker data is reviewed. Cultivares y variedades criollas de una especie cultivada, representan la principal fuente de genes disponibles para el mejoramiento de cultivos. El conocimiento de la relación genética entre genotipos es útil en un programa de mejoramiento genético porque permite la organización del germoplasma existente. Basados en 80 bandas polymórficas obtenidas bajo la metodología de RAPDs (Randon Amplified Polymorphic DNA), relaciones genéticas entre 76 genotipos de Phaseolus vulgaris y líneas de mejoramiento de América Central fueron estimadas. Se observó dos principales grupos entre los cultivares, los cuales corresponden a las clases rojo pequeño y negro. Para que los mejoradores puedan tomar decisiones con respecto al muestreo de recursos de germoplasma, se requiere del conocimiento de las diferencias y variación entre y dentro grupos de genotipos. Este informe presenta un procedimiento basado en el análisis de varianza-ANOVA para determinar las diferencias entre grupos de individuos. Además se discute el método de Nei para medir la diversidad genética (marker variance) y la prueba de homogeneidad de varianza. Finalmente, se revisa un procedimiento para la estimación de la varianza de muestreo de los datos obtenidos con marcadores moleculares. 1995 2017-06-20T09:00:29Z 2017-06-20T09:00:29Z Book Chapter https://hdl.handle.net/10568/82013 en Open Access application/pdf International Center for Tropical Agriculture Nienhuis, James. 1995. Analysis of genetic relationships and diversity based on molecular marker data . In: Simposio Internacional de Estadística en Agricultura y Medio Ambiente (1995, Palmira, Valle del Cauca, Colombia). Memorias.Conferencia satélite . Centro Internacional de Agricultura Tropical (CIAT), Cali, CO. p. 211-229.
spellingShingle phaseolus vulgaris
genetic markers
genetic variation
genetic distance
genotypes
statistical analysis
marcadores genéticos
variación genética
distancia genética
genotipos
análisis estadístico
Nienhuis, James
Analysis of genetic relationships and diversity based on molecular marker data
title Analysis of genetic relationships and diversity based on molecular marker data
title_full Analysis of genetic relationships and diversity based on molecular marker data
title_fullStr Analysis of genetic relationships and diversity based on molecular marker data
title_full_unstemmed Analysis of genetic relationships and diversity based on molecular marker data
title_short Analysis of genetic relationships and diversity based on molecular marker data
title_sort analysis of genetic relationships and diversity based on molecular marker data
topic phaseolus vulgaris
genetic markers
genetic variation
genetic distance
genotypes
statistical analysis
marcadores genéticos
variación genética
distancia genética
genotipos
análisis estadístico
url https://hdl.handle.net/10568/82013
work_keys_str_mv AT nienhuisjames analysisofgeneticrelationshipsanddiversitybasedonmolecularmarkerdata