Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Gabi Nunes Silva"'
Autor:
Vinícius Quintão Carneiro, Jussara Mencalha, Isabela de Castro Sant’anna, Gabi Nunes Silva, Júlio Augusto de Castro Miguel, Pedro Crescêncio Souza Carneiro, Moysés Nascimento, Cosme Damião Cruz
Publikováno v:
Acta Scientiarum: Agronomy, Vol 45, Iss 1 (2023)
The genotype by environment interaction is the main factor that influences the response of evaluated genotypes in trials of value for cultivation and use. Adaptability and stability analyses are fundamental to understanding the performance of genotyp
Externí odkaz:
https://doaj.org/article/53a88bff7ce4404495cf6ce4b85c14f5
Autor:
Weverton Gomes da Costa, Maurício de Oliveira Celeri, Ivan de Paiva Barbosa, Gabi Nunes Silva, Camila Ferreira Azevedo, Aluizio Borem, Moysés Nascimento, Cosme Damião Cruz
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 20, Iss , Pp 5490-5499 (2022)
Genomic wide selection (GWS) is one contributions of molecular genetics to breeding. Machine learning (ML) and artificial neural networks (ANN) methods are non-parameterized and can develop more accurate and parsimonious models for GWS analysis. Mult
Externí odkaz:
https://doaj.org/article/b43284a44af440cdbded5705888b9609
Autor:
Antônio Carlos da Silva Junior, Isabela Castro Sant’Anna, Gabi Nunes Silva, Cosme Damião Cruz, Moysés Nascimento, Leonardo Bhering Lopes, Plínio César Soares
Publikováno v:
Acta Scientiarum: Agronomy, Vol 45, Iss 1 (2022)
The study of traits in crops enables breeders to guide strategies for selecting and accelerating the progress of genetic breeding. Although the simultaneous evaluation of characteristics in the plant breeding programme provides large quantities of in
Externí odkaz:
https://doaj.org/article/3a4d94d5e3324b33940a851624173663
Autor:
Antônio Carlos da Silva Júnior, Michele Jorge da Silva, Cosme Damião Cruz, Isabela de Castro Sant'Anna, Gabi Nunes Silva, Moysés Nascimento, Camila Ferreira Azevedo
Publikováno v:
PLoS ONE, Vol 16, Iss 11, p e0257213 (2021)
The present study evaluated the importance of auxiliary traits of a principal trait based on phenotypic information and previously known genetic structure using computational intelligence and machine learning to develop predictive tools for plant bre
Externí odkaz:
https://doaj.org/article/a37b62ff0ad94b229f02e30e7fbcd323
Publikováno v:
Acta Scientiarum: Agronomy, Vol 43, Pp e46307-e46307 (2020)
This paper aimed to evaluate the effectiveness of subset selection of markers for genome-enabled prediction of genetic values using radial basis function neural networks (RBFNN). To this end, an F1 population derived from the hybridization of diverge
Externí odkaz:
https://doaj.org/article/89d7549153ad453faa03d983f46951ca
Autor:
Ithalo Coelho de Sousa, Moysés Nascimento, Gabi Nunes Silva, Ana Carolina Campana Nascimento, Cosme Damião Cruz, Fabyano Fonseca e Silva, Dênia Pires de Almeida, Kátia Nogueira Pestana, Camila Ferreira Azevedo, Laércio Zambolim, Eveline Teixeira Caixeta
Publikováno v:
Scientia Agricola, Vol 78, Iss 4 (2020)
ABSTRACT Genomic selection (GS) emphasizes the simultaneous prediction of the genetic effects of thousands of scattered markers over the genome. Several statistical methodologies have been used in GS for the prediction of genetic merit. In general, s
Externí odkaz:
https://doaj.org/article/3c56719c58f047acad58b7a1217ff577
Autor:
Gabi Nunes Silva, Antônio Carlos da Silva Júnior, Isabela de Castro Sant’Anna, Cosme Damião Cruz, Moysés Nascimento, Plínio César Soares
Publikováno v:
Pesquisa Agropecuária Brasileira, Vol 55 (2020)
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
Externí odkaz:
https://doaj.org/article/25c500618f4145d78570d480108eef4a
Autor:
Gabi Nunes Silva, Moysés Nascimento, Isabela de Castro Sant’Anna, Cosme Damião Cruz, Eveline Teixeira Caixeta, Pedro Crescêncio Souza Carneiro, Renato Domiciano Silva Rosado, Kátia Nogueira Pestana, Dênia Pires de Almeida, Marciane da Silva Oliveira
Publikováno v:
Pesquisa Agropecuária Brasileira, Vol 52, Iss 3, Pp 186-193 (2017)
Abstract: The objective of this work was to evaluate the use of artificial neural networks in comparison with Bayesian generalized linear regression to predict leaf rust resistance in Arabica coffee (Coffea arabica). This study used 245 individuals o
Externí odkaz:
https://doaj.org/article/6e4a39e66d3f453ea08547554608f9bf
Autor:
Isabela de Castro Sant'Anna, Gabi Nunes Silva, Vinicius Quintão Carneiro, Daiana Salles Pontes, Moyses Nascimento, Cosme Damião Cruz
Publikováno v:
Acta Scientiarum: Agronomy, Vol 42, Pp e42483-e42483 (2019)
The objective of this study was to compare different graphical dispersion analysis techniques in two- or three-dimensional planes. In this study, the data from different published works were used in order to determine the best methodology for analyzi
Externí odkaz:
https://doaj.org/article/735a303e73844200ab713ffab24e6232
Autor:
Isabela de Castro Sant' Anna, Ricardo Augusto Diniz Cabral Ferreira, Moysés Nascimento, Gabi Nunes Silva, Vinicius Quintão Carneiro, Cosme Damião Cruz, Marciane Silva Oliveira, Francyse Edith Chagas
Publikováno v:
PLoS ONE, Vol 14, Iss 1, p e0210531 (2019)
The identification of elite individuals is a critical component of most breeding programs. However, the achievement of this goal is limited by the high cost of phenotyping and experimental research. A significant benefit of genomic selection (GS) to
Externí odkaz:
https://doaj.org/article/7a80ef8fd3fe469aaf63d402967b1e72