{'fraction_non_alphanumeric': 0.0188821752265861, 'fraction_numerical': 0.0030211480362537764, 'mean_word_length': 5.339712918660287, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
RAPD profiling of some banana varieties selected by small-scale farmers inKenya

Summary SeventeenMusa cultivars that were rated highly by the small-scale farmers in Kenya were examined for random amplified polymorphic DNA (RAPD) genetic markers using PCR with ten 10-mer primers. The aim of the study was to sort out synonyms and enable in vitro production of true-to-type plants. The study included five reference cultivars of genomic groups AA, AB, AAA, AAB, and ABB to uncover the genomic groups prevalent among the Kenyan cultivars. The ten primers generated 69 genetic markers that were used for estimation of genomic groups and for cultivar identification. Pairwise RAPDistance analysis of the data and subsequent generation of a dendrogram using the “Neighbour Joining Tree” program grouped the cultivars into two major clusters depending on their genomic similarities. One cluster comprised the Kenya highland bananas that grouped with the AAA reference cultivar Poyo, while the other cluster contained the coastal lowland cultivars that grouped with the ABB AAB and AB reference cultivars Saba, Kelong Mekindu, Safet Velchi, respectively. The dissimilarity analysis between the samples showed no duplication among the banana accessions. Each cultivar was genotypically different although some were closely related.