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Neutrosophic Sets and Systems

Abstract

Late blight (Phytophthora infestans) resistance in Solanum phureja has influenced potato genetic improvement due to the high incidence of this disease. This study analyzed key resistance attributes, such as lesion growth rate, lesion size, latency period, and sporulation intensity, through field and laboratory tests. To integrate these attributes and optimize the selection of resistant genotypes, Neutrosophic SuperHyperSoft Sets modeling was used. Among the results, genotypes such as Chaucha Amarilla (with high general combining ability) and progenies such as 11 (Ch. Negra x Ch. Amarilla), 1 (Ch. Negra x Ch. Negra), and 9 (Ch. Negra x Yema de Hue-vo) were identified, exhibiting high specific combining ability values. In conclusion, lesion size was identified as a crucial indicator, emphasizing the priority of integrating key attributes in genetic improvement programs for the development of more resistant and sustainable varieties.

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