Abstract
The aim of this study was to evaluate the existing diversity among genotypes from inbred guava families obtained from a breeding program. To characterize the 61 genotypes, 51 descriptors were evaluated, including 15 quantitative, 16 qualitative, and 20 seed descriptors obtained digitally using the Graundeye® image analysis system. Based on the quantitative, qualitative, and seed descriptors, the Ward-MLM strategy was employed and was efficient in detecting divergence among guava genotypes using qualitative and quantitative descriptors. The evaluated population has genetic diversity and genotypes with important agronomic traits that allow the continuity of the breeding program with genetic gains. The descriptors that most contributed to divergence among the evaluated guava genotypes were leaf length/width, fruit length, fruit pulp thickness, leaf length, and fruit pulp weight. The seed descriptors obtained by digital image analysis were useful in estimating genetic diversity in guava.
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