Zobrazeno 1 - 10
of 99
pro vyhledávání: '"Moyses Nascimento"'
Autor:
Edilaine Silva Arcanjo, Moyses Nascimento, Camila Ferreira Azevedo, Eveline Teixeira Caixeta, Antônio Carlos Baião de Oliveira, Antonio Alves Pereira, Ana Carolina Campana Nascimento
Publikováno v:
Acta Scientiarum: Agronomy, Vol 47, Iss 1 (2024)
Developing new cultivars, particularly in perennial species like Coffea arabica, can be a time-consuming process. Employing molecular markers in genome-wide selection (GWS) for predicting genetic values offers an alternative to accelerate this proces
Externí odkaz:
https://doaj.org/article/11e68c9f74324833b7cc06b5ee766825
Autor:
Maurício de Oliveira Celeri, Cynthia Aparecida Valiati Barreto, Wagner Faria Barbosa, Leísa Pires Lima, Lucas Souza da Silveira, Ana Carolina Campana Nascimento, Moyses Nascimento, Camila Ferreira Azevedo
Publikováno v:
Acta Scientiarum: Agronomy, Vol 47, Iss 1 (2024)
Artificial neural networks (ANNs) are powerful nonparametric tools for estimating genomic breeding values (GEBVs) in genetic breeding. One significant advantage of ANNs is their ability to make predictions without requiring prior assumptions about da
Externí odkaz:
https://doaj.org/article/8723762c595242058b899ecff30fae1f
Autor:
Moyses Nascimento, Ana Carolina Campana Nascimento, Camila Ferreira Azevedo, Antonio Carlos Baiao de Oliveira, Eveline Teixeira Caixeta, Diego Jarquin
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
Coffee Breeding programs have traditionally relied on observing plant characteristics over years, a slow and costly process. Genomic selection (GS) offers a DNA-based alternative for faster selection of superior cultivars. Stacking Ensemble Learning
Externí odkaz:
https://doaj.org/article/c8f3670d077649e9836a9c33a37a42fd
Autor:
Antônio Carlos da Silva Júnior, Isabela de Castro Sant’Anna, Michele Jorge Silva Siqueira, Cosme Damião Cruz, Camila Ferreira Azevedo, Moyses Nascimento, Plínio César Soares
Publikováno v:
PLoS ONE, Vol 17, Iss 5 (2022)
The biggest challenge for the reproduction of flood-irrigated rice is to identify superior genotypes that present development of high-yielding varieties with specific grain qualities, resistance to abiotic and biotic stresses in addition to superior
Externí odkaz:
https://doaj.org/article/0e480c5cac7a4de3bbd0c2bd2d3ccdef
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:
Renato Domiciano Silva Rosado, Cosme Damião Cruz, Leiri Daiane Barili, José Eustáquio de Souza Carneiro, Pedro Crescêncio Souza Carneiro, Vinicius Quintão Carneiro, Jackson Tavela da Silva, Moyses Nascimento
Publikováno v:
Agriculture, Vol 10, Iss 12, p 638 (2020)
Flowering is an important agronomic trait that presents non-additive gene action. Genome-enabled prediction allow incorporating molecular information into the prediction of individual genetic merit. Artificial neural networks (ANN) recognize patterns
Externí odkaz:
https://doaj.org/article/8328cee614044a56886d7b09f89ae118
Autor:
Rodrigo Reis Mota, Edson Vinícius Costa, Paulo Sávio Lopes, Moyses Nascimento, Luciano Pinheiro da Silva, Fabyano Fonseca e Silva, Luiz Fernando Aarão Marques
Publikováno v:
Ciência Rural, Vol 46, Iss 9, Pp 1656-1661 (2016)
ABSTRACT: The aim of this research was to evaluate the dimensional reduction of additive direct genetic covariance matrices in genetic evaluations of growth traits (range 100-730 days) in Simmental cattle using principal components, as well as to est
Externí odkaz:
https://doaj.org/article/0de2969fce3649f3bbfc7fee1cb4ba3d
Autor:
Leiri Daiane Barili, Naine Martins do Vale, Adalgisa Lelis do Prado, José Eustáquio de Souza Carneiro, Fabyano Fonseca e Silva, Moyses Nascimento
Publikováno v:
Crop Breeding and Applied Biotechnology, Vol 15, Iss 4, Pp 244-250 (2015)
The purpose of this study was to analyze the effect of genotype-environment interaction (GE) on common bean cultivars with carioca grain (cream-colored beans with light brown stripes), recommended for cultivation by different Brazilian research inst
Externí odkaz:
https://doaj.org/article/917d19d51c104dd7a123cb66a5928f5a
Autor:
Leiri Daiane Barili, Naine Martins do Vale, Fabyano Fonseca e Silva, José Eustáquio de Souza Carneiro, Hinayah Rojas de Oliveira, Rosana Pereira Vianello, Paula Arielle Mendes Ribeiro Valdisser, Moyses Nascimento
Publikováno v:
Ciência Rural, Vol 48, Iss 8 (2018)
ABSTRACT: We aimed to apply genomic information based on SNP (single nucleotide polymorphism) markers for the genetic evaluation of the traits “stay-green” (SG), plant architecture (PA), grain aspect (GA) and grain yield (GY) in common bean throu
Externí odkaz:
https://doaj.org/article/4070a12d7ba84fdc94b1c2a7581fdbd5
Autor:
Camila Ferreira Azevedo, Luis Felipe Ventorim Ferrão, Juliana Benevenuto, Marcos Deon Vilela de Resende, Moyses Nascimento, Ana Carolina Campana Nascimento, Patricio Munoz
Most genomic prediction methods are based on assumptions of normality due to their simplicity, robustness, and ease of implementation. However, in plant and animal breeding, target traits are often collected as categorical data, thus violating the no
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::790f043d811e6fbc47f536f3bc6f2c44
https://doi.org/10.1101/2023.02.27.530308
https://doi.org/10.1101/2023.02.27.530308
