Hostname: page-component-78c5997874-mlc7c Total loading time: 0 Render date: 2024-11-09T15:59:49.607Z Has data issue: false hasContentIssue false

GROUPING LOCATIONS FOR EFFICIENT CASSAVA EVALUATION IN MALAWI

Published online by Cambridge University Press:  08 April 2003

J. MKUMBIRA
Affiliation:
Bvumbwe Agricultural Research Station, P. O. Box 5748, Limbe, Malawi Dept. of Plant Biology, Swedish University of Agricultural Sciences, Box 7080, SE-750 05 Uppsala, Sweden
N. M. MAHUNGU
Affiliation:
Bvumbwe Agricultural Research Station, P. O. Box 5748, Limbe, Malawi Southern African Root Crop Research Network, Box 30258, Lilongwe 3, Malawi
U. GULLBERG
Affiliation:
Bvumbwe Agricultural Research Station, P. O. Box 5748, Limbe, Malawi Dept. of Plant Biology, Swedish University of Agricultural Sciences, Box 7080, SE-750 05 Uppsala, Sweden

Abstract

Cassava, a crop widely adapted in the tropics, has the important attribute of withstanding adverse environmental conditions better than do many other staple crops. The performance of an individual genotype, however, is influenced by the environment in which it grows. In Malawi, the heterogeneity of agro-ecologies requires the cumbersome and costly assessment of new cassava genotypes at many sites. This study was conducted, therefore, to test the feasibility of selecting only a few locations for cassava evaluation that would be representative of all the agro-ecologies in which cassava is grown in Malawi. Enormous environmental effects, largely contributed by the interaction between season and location, were manifested. Genotype×environment interaction, due largely to a third level interaction (genotype×season×location), was highly significant for all the traits studied. A principal component analysis scatter plot showed no particular grouping of environments, but a pair-wise comparison showed that some of the locations had limited genotype×environment interaction, indicating that it would be sufficient to use one of these sites for evaluating these traits. The value of the residual was often large, probably as an effect of environmental heterogeneity in the test sites. The authors conclude that cassava genetic improvement will continue to be slow if Malawi is used as a single breeding zone. They recommend a much finer grouping of the locations and the use of smaller plot sizes to allow more clones to be tested at more sites for the same cost. Locations may be selected for intensive cassava breeding work from those that give the best discrimination between genotypes while having insignificant genotype×environment interactions in a relatively large number of environments.

Type
Research Article
Copyright
© 2003 Cambridge University Press

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)