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Genetic variability and correlation studies in cassava (Manihot esculenta Crantz)

By: Contributor(s): Material type: ArticleArticleLanguage: English Description: 4(1):7-10Subject(s): LOC classification:
  • 12131
 In: Journal of Root CropsSummary: Se realizo una investigacion con 12 var. de yuca para calcular los coeficientes de variabilidad genetica y correlacion para 7 caracteres cuantitativos. En general, el coeficiente de variacion fenotipica fue mayor que el coeficiente de variacion genotipica en todos los caracteres estudiados. Los calculos de coeficiente de viariacion fenotipica y genotipica, hereditabilidad y adelanto genetico fueron altos para el no. de nodulos y el rendimiento de raices/planta, lo cual indica un amplio margen de mejoramiento de las caracteristicas economicas tales como el rendimiento de raices. Los coeficientes de correlacion genotipica fueron de mayor magnitud que los coeficientes de correlacion fenotipica. El IC, no. de raices/planta y peso promedio de las raices demostraron una fuerte correlacion positiva con el rendimiento de raices, mientras que el no. de nodulos/planta tuvo una correlacion negativa significativa. Los resultados indicaron que para la identificacion de genotipos de altos rendimientos es necesario enfatizar en caracteristicas tales como el IC y el no. de raices/planta. (RA-CIAT)Summary: Research was carried out with 12 cassava var. to estimate genetic variability and correlation coefficients for 7 quantitative characters. In general phenotypic coefficient of variation was higher than genotypic coefficient of variation for all characters studied. Phenotypic and genotypic coefficient of variation, heritability and genetic advance estimates were high for no. of nodes and root yield/plant, indicating considerable scope for improvement of economic traits such as root yield. Genotypic correlation coefficients were higher in magnitude than phenotypic correlation coefficients, HI, no. of roots/plant and mean root wt showed strong positive correlation with root yield, while no. of nodes/plant had significant negative correlation. Results indicate that for identification of high-yielding genotypes more emphasis has to be laid on characters such as HI and no. of roots/plant. (AS)
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Journal Article Journal Article CIAT Library Document collection CINFOS Document Collection CINFOS 12131 (Browse shelf(Opens below)) c.1 Short Loan 100057884
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Se realizo una investigacion con 12 var. de yuca para calcular los coeficientes de variabilidad genetica y correlacion para 7 caracteres cuantitativos. En general, el coeficiente de variacion fenotipica fue mayor que el coeficiente de variacion genotipica en todos los caracteres estudiados. Los calculos de coeficiente de viariacion fenotipica y genotipica, hereditabilidad y adelanto genetico fueron altos para el no. de nodulos y el rendimiento de raices/planta, lo cual indica un amplio margen de mejoramiento de las caracteristicas economicas tales como el rendimiento de raices. Los coeficientes de correlacion genotipica fueron de mayor magnitud que los coeficientes de correlacion fenotipica. El IC, no. de raices/planta y peso promedio de las raices demostraron una fuerte correlacion positiva con el rendimiento de raices, mientras que el no. de nodulos/planta tuvo una correlacion negativa significativa. Los resultados indicaron que para la identificacion de genotipos de altos rendimientos es necesario enfatizar en caracteristicas tales como el IC y el no. de raices/planta. (RA-CIAT) spa

Research was carried out with 12 cassava var. to estimate genetic variability and correlation coefficients for 7 quantitative characters. In general phenotypic coefficient of variation was higher than genotypic coefficient of variation for all characters studied. Phenotypic and genotypic coefficient of variation, heritability and genetic advance estimates were high for no. of nodes and root yield/plant, indicating considerable scope for improvement of economic traits such as root yield. Genotypic correlation coefficients were higher in magnitude than phenotypic correlation coefficients, HI, no. of roots/plant and mean root wt showed strong positive correlation with root yield, while no. of nodes/plant had significant negative correlation. Results indicate that for identification of high-yielding genotypes more emphasis has to be laid on characters such as HI and no. of roots/plant. (AS) eng

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