To obtain genotypes which meet the dual purpose objectives, the breeders are based on the construction of a plant ideo type, showing rapid establishment, tillering potential, high dry matter production per unit area, tolerance to grazing and trample, regrowth capacity, long growing season and short reproductive phase, high quality bromatological forage, and adequate grain yield. The aim of this literature review is to determine the processes and biometric models used to obtainment and selection of dual purposewheat genotypes. The dual-purpose wheat presents as important alternative to the agricultural context, it potentiates energy dynamics in animal nutrition. Thus, the advances in plant genetics and plant breeding as well as in the management of culture to enable the development of genotypes that allow the forage and grain production. This strategy allows the producer to increase the income of rural property, integrate of the crop-livestock activities, reduce the effects of empty feed, maximize the physical space of the property, benefit from the dynamic atmosphere-plant-animal, and economically increase the agricultural activity. The benefits of using genotypes with double purpose are justified through their extensive uses, which replace winter grasses, with higher energy efficiency as forage as grain, this high in starch are for the development of chaffsand feed. Research developed recommended genotypes for wide regions, thus, there are a lack of specific genotypes to micro-regions and different levels of technology management, providing quantitative and qualitative demands of forage and grain, increasing energy supply in farming. Therefore, a genetic breeding program should address effective strategies to identify promising individuals, and enable genetic gains to culture. Today, genetic improvement with emphasis on genotypes for dual purpose does not reveal the necessary importance to the secondary traits, and precarious detailed identification of the interrelationships among feed traits, bromatologic and grain yield. The knowledge of these associations through biometric models, identifying the magnitude and direction of the relationship among traits, makes it possible to guide the selection strategy, and minimize time and financial resources spent.
