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>