10.6084/m9.figshare.11997546.v1 Gabi Nunes Silva Gabi Nunes Silva Antônio Carlos da Silva Júnior Antônio Carlos da Silva Júnior Isabela de Castro Sant’Anna Isabela de Castro Sant’Anna Cosme Damião Cruz Cosme Damião Cruz Moysés Nascimento Moysés Nascimento Plínio César Soares Plínio César Soares Similarity networks for the classification of rice genotypes as to adaptability and stability SciELO journals 2020 Orzya sativa flood-irrigated rice genotype x environment interaction graphic analysis similarity 2020-03-18 02:46:20 Dataset https://scielo.figshare.com/articles/dataset/Similarity_networks_for_the_classification_of_rice_genotypes_as_to_adaptability_and_stability/11997546 <div><p>Abstract: The 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.</p></div>