FUZZY LOGIC FOR IDENTIFYING WHITE OAT PARENTS TOLERANT TO EXCESS WATER IN THE EARLY STAGES OF DEVELOPMENT
DOI:
https://doi.org/10.66104/dh7rj258Keywords:
Avena sativa L., water stress, plant breeding, fuzzy inference, flooding toleranceAbstract
Soil water excess is one of the main limiting factors for the establishment and productive performance of winter crops, especially in regions subject to temporary flooding. This study aimed to identify white oat parents tolerant to soil water excess at the early developmental stages through the application of fuzzy logic. The experiment was conducted under greenhouse conditions in a completely randomized design, with ten white oat genotypes and three water regimes (field capacity, intermittent, and flooded), with three replications. Morphological and productive traits were evaluated, and a Mamdani-type fuzzy inference system was applied to obtain indices of initial vigor, productive performance, and productive efficiency. Soil water excess regimes (intermittent and flooded) reduce early development and productive performance of white oat. The genotypes UPFA Ouro, URS Brava, URS Altanera, and URS Alteza stand out in terms of productive stability and are promising for use as parents in breeding programs aimed at environments with high water variability.
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Copyright (c) 2026 Murilo Vieira Loro, Vitória Larrosa Bueno, Angélica Guareschi, Giovanni Matheus Froehlich, Ivan Ricardo Carvalho, Pedro Henrique Pereira Nunes, Diovana Thays Schlosser, Rodrigo Pereira Soares, Lívia Amaral Koakoski
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