Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Ludimila Geiciane de Sá"'
Autor:
Ludimila Geiciane de Sá, Alcinei Mistico Azevedo, Carlos Juliano Brant Albuquerque, Nermy Ribeiro Valadares, Orlando Gonçalves Brito, Ana Clara Gonçalves Fernandes, Ignacio Aspiazú
Publikováno v:
Pesquisa Agropecuária Brasileira, Vol 57 (2022)
Abstract The objective of this work was to evaluate the genetic dissimilarity between soybean cultivars and genotypes for the selection of parents, as well as to propose a new method for using Kohonen’s self-organizing maps (SOMs) and to test its e
Externí odkaz:
https://doaj.org/article/d4eba03c1f764fe689dd8dade1e0f2e0
Autor:
Ludimila Geiciane de Sá, Carlos Juliano Brant Albuquerque, Nermy Ribeiro Valadares, Orlando Gonçalves Brito, Amara Nunes Mota, Ana Clara Gonçalves Fernandes, Alcinei Mistico Azevedo
Publikováno v:
Acta Scientiarum: Agronomy, Vol 44, Iss 1 (2022)
Leaf area is one of the most commonly used physiological parameters in plant growth analysis because it facilitates the interpretation of factors associated with yield. The different leaf formats related to soybean genotypes can influence the quality
Externí odkaz:
https://doaj.org/article/c6cd09a5cc8348aaa0dcba2d1c64ad32
Autor:
Clóvis Henrique Oliveira Rodrigues, Maria Thereza Netta Lopes Silva, Valter Carvalho de Andrade Júnior, Orlando Gonçalves Brito, Ludimila Geiciane de Sá, Alcinei Mistico Azevedo, Ana Clara Gonçalves Fernandes
The objective of this study was to study the genetic divergence between genotypes of kale, to propose a methodology for the use of neural networks of the SOM type and to test its efficiency through Anderson's discriminant analysis. We evaluated 33 fa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8824466a31ec752bec9c6d493382c058
https://doi.org/10.1101/2020.05.14.095711
https://doi.org/10.1101/2020.05.14.095711