02143naa a2200301 a 450000100080000000500110000800800410001910000170006024501220007726000090019950001390020852011180034765000190146565300220148465300250150665300390153165300210157065300370159165300170162865300170164565300150166270000270167770000240170470000160172870000190174470000180176377300600178121223312020-05-14 2020 bl uuuu u00u1 u #d1 aSILVA, G. N. aSimilarity networks for the classification of rice genotypes as to adaptability and stability.h[electronic resource] c2020 aTítulo em português: Redes de similaridade para a classificação de genótipos de arroz quanto a sua adaptabilidade e estabilidade. aThe objective of this work was to evaluate the similarity network graphic methodology for the classification of flood-irrigated rice (Orzya sativa) genotypes regarding their adaptability and stability. Two statistical measures were used to represent the proximity of the behavior (based on Pearson?s correlation) or values (based on Gower?s distance) between pairs of genotypes or between genotype and environment. Productivity data of 18 genotypes were evaluated in three locations in the state of Minas Gerais, Brazil, in the harvests of 2012/2013, 2013/2014, 2014/2015, and 2015/2016, in a randomized complete block design. The genotypes were previously assessed for adaptability and stability by the Eberhart & Russell and centroid methods. The graphical representations provided by the similarity networks allowed to better identify the pattern of the genotype x environment interaction, overcoming the interpretation difficulties due to the disagreements between the results obtained by the Eberhart & Russell and centroid methods. The similarity networks improve genotype x environment interaction studies. aArroz Irrigado aAnálise gráfica aFlood-irrigated rice aGenotype x environment interaction aGraphic analysis aInteração genótipo x ambiente aOrzya sativa aSimilaridade aSimilarity1 aSILVA JUNIOR, A. C. da1 aSANT'ANNA, I. de C.1 aCRUZ, D. C.1 aNASCIMENTO, M.1 aSOARES, P. C. tPesquisa Agropecuária Brasileiragv. 55, e01017, 2020.