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Brown rust is one of the most important diseases for sugar cane worldwide. In Cuba, resistance to the disease is a criterion for the selection of new cultivars and it is evaluated in the genetic improvement program from early stages. This work was developed with the objective of quantifying, in Clonal Lot Stage 1, the incidence and severity of brown rust by crosses. For this purpose, data were collected from individuals managed by the genetic improvement program in the southeastern region of Cuba. The variables degree, incidence and severity of the disease among families and parents were determined. Results showed that there is high variability in the development of brown rust in Clonal Lot 1. The degree and severity variables are the most useful for identifying families with progenies resistant or tolerant to the disease. The C90-501 x Mex66-1235 and C90-501 x B6368 families provide high yielding individuals with resistance to brown rust. The analysis allows breeders to develop crosses that provide high-yielding sugarcane and sugar individuals with resistance to the disease. [ABSTRACT FROM AUTHOR]

The aim of this work was to design and establish a model of macro data management to facilitate decision-making in the Sugarcane Breeding Program in Cuba and increase its efficiency. For this, available sources of information from the selection process from the period 2000 to 2017 and those coming from the agroproductive response of cultivars in production areas were used. A model was designed and applied that includes components such as: infrastructure, collection, validation, storage, processing, analysis and visualization. A case study of the C86-12 x CP70-1133 cross was conducted to characterize its selection background. As a result, the big data approach made it possible to obtain a compilation of primary data and selection results, estimate the genetic value of parents and crosses, classify the crosses and facilitate decision-making in the sugarcane breeding program in Cuba to obtain new commercial cultivars. Its application in the case study guaranteed access to all available information on the subject and recommending its best management. [ABSTRACT FROM AUTHOR]

El Instituto de Investigaciones de la Caña de Azúcar en Cuba desarrolla un programa de selección para dar respuesta a la obtención de nuevos cultivares. Sin embargo, no se dispone de un procedimiento que permita determinar y clasificar la respuesta familiar a partir de los datos de selección de las progenies. El objetivo del trabajo fue establecer una metodología de clasificación y manejo de cruces biparentales en el programa de selección genética de la caña de azúcar en Cuba, a partir de la información de selección y la estimación de su valor genético. Se utilizaron los datos de la etapa del Lote clonal 1 del programa de selección de la región suroriental. El período comprendió la selección de los años desde el 2000 hasta el 2015. Se utilizó un modelo lineal para cuantificar la interacción existente entre el cruce y el ambiente y cuantificar el valor genético estimado. Se utilizaron siete variables relacionadas con el contenido azucarero de las progenies, así como, rendimiento agrícola, resistencia aroya y carbón de la caña de azúcar. Se establecieron siete categorías para la clasificación de los cruces: cruce muy descartado, descartado, moderadamente descartado, exploratorio, moderadamente comprobado, comprobado y muy comprobado. El método propuesto permite hacer más eficiente los programas de cruzamiento y selección genética de la caña de azúcar. [ABSTRACT FROM AUTHOR]