Biometrical studies in cassava
Material type:![Article](/opac-tmpl/lib/famfamfam/AR.png)
- 26353
Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | Item holds | |
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CIAT Library Document collection CINFOS | Document Collection CINFOS | 26353 (Browse shelf(Opens below)) | c.1 | Short Loan |
Se analizo la divergencia de 24 var. de yuca de diferentes paises (Colombia, Nigeria, Uganda, Madagascar, Ghana, Gabon, Malaysia, Sri Lanka e India). Se registraron observaciones sobre altura de la planta, peso de la parte vegetativa, no. total de hojas formadas y no. y rendimiento de raices. El analisis de varianza para caracteres individuales revelo la existencia de diferencias altamente significativas entre las accesiones para cada uno de los caracteres estudiados. Se empleo el D2 de Mahalanobis para determinar el grado de divergencia entre las accesiones. La mayor contribucion a la divergencia se hallo en el no. total de hojas: 119 de las 276 comparaciones (43.12 por ciento); el no. de raices aporto la menor contribucion, alcanzando la calificacion 1 solo en 14 comparaciones (5.07 por ciento). Con base en los valores de D2, se agruparon 24 accesiones en 11 conjuntos, mediante el metodo de Tocher. Ninguna de las agrupaciones contenia 2 accesiones del mismo origen. (CIAT) spa
The divergence of 24 cassava var. from different countries (Colombia, Nigeria, Uganda, Madagascar, Ghana, Gabon, Malaysia, Sri Lanka, and India) was analyzed. Observations on plant height, wt. of vegetative part, total no. of leaves formed, and root no. and yield were recorded. The analysis of variance for individual characters revealed highly significant differences among the entries for each of the 5 characters studied. Mahalanobis's D2 was employed to determine the degree of divergence between entries. The total no. of leaves was the largest contributor to the divergence in 119 of the 276 comparisons (43.12 percent); the no. of roots contributed the least by scoring rank 1 in only 14 comparisons (5.07 percent). On the basis of D2 values, 24 entries were grouped into 11 clusters using Tocher's method. None of the clusters contained 2 entries of the same origin. (CIAT) eng