摘要
Potato is an important cash and food crop, a source of income to many small scale farmers in Eritrea. In the long tradition of potato cultivation farmers have adopted a number of landraces. However, very little is known about their genetic diversity which limits further breeding programs to improve productivity. The objective of the study was to characterize potato accessions grown in Eritrea. A total of 21 accessions collected from farmers and NARI were used in this study for characterization employing 33 phenotypic descriptors. Single linkage (nearest neighbor) clustering method using UPGMA employing Euclidean test was used to yield a dendrogram. The clustering generated three main clusters with further sub clusters. The clustering helped to identify accessions that shared the same characteristics and/or that were closely related and vice versa. It was noted that there was no distinct relationship between the clusters groups and geographic sources of accession. Yet, accessions sharing the same name may not necessarily share the same genetic content. Mean deviation of variables for each group from the total mean indicated that Group III followed by group I showed negative deviation in most of the recorded yield related traits. Group I was particularly affected by the presence of two inferior accessions in the group. On the other hand, Group II accessions showed relatively maximum deviation from the total mean and could be recommended for use as parent for any breeding program in Eritrea.
Potato is an important cash and food crop, a source of income to many small scale farmers in Eritrea. In the long tradition of potato cultivation farmers have adopted a number of landraces. However, very little is known about their genetic diversity which limits further breeding programs to improve productivity. The objective of the study was to characterize potato accessions grown in Eritrea. A total of 21 accessions collected from farmers and NARI were used in this study for characterization employing 33 phenotypic descriptors. Single linkage (nearest neighbor) clustering method using UPGMA employing Euclidean test was used to yield a dendrogram. The clustering generated three main clusters with further sub clusters. The clustering helped to identify accessions that shared the same characteristics and/or that were closely related and vice versa. It was noted that there was no distinct relationship between the clusters groups and geographic sources of accession. Yet, accessions sharing the same name may not necessarily share the same genetic content. Mean deviation of variables for each group from the total mean indicated that Group III followed by group I showed negative deviation in most of the recorded yield related traits. Group I was particularly affected by the presence of two inferior accessions in the group. On the other hand, Group II accessions showed relatively maximum deviation from the total mean and could be recommended for use as parent for any breeding program in Eritrea.
