Using fuzzy logic to select coloured-fibre cotton genotypes based on adaptability and yield stability

Cotton (Gossypium hirsutum L.) is the world’s leading natural textile fibre and grown in over 60 countries, including Brazil, where it an important agricultural commodity. The cultivation area currently covers approximately one million hectares Brazil has expanded into every region of country, especially Cerrado biome. Because this expansion, necessary to analyse influence environment on genotype behaviour optimize yields. Thus, objective study was compare fuzzy logic traditional methods for selecting coloured-fibre cotton genotypes with high adaptability yield stability. experiment conducted 2013/2014, 2014/2015, 2015/2016, 2016/2017 crops Capim Branco farm at Federal University Uberlândia, Minas Gerais, Brazil. following were used select stability: Lin Binns model, additive main effects multiplicative interaction (AMMI) analysis Sugeno controller. An that affected detected. Environment 4 (the crop) showed lowest interaction. approach agreement AMMI nonparametric method. linguistic controller demonstrated potential plant breeding programmes. UFUJP-16 UFUPJ-17 adaptable, stable promising yields within tested environments. method effective estimating