Integrating Environmental Covariates into Adaptability and Stability Analyses: A Structural Equation Modeling Approach for Cotton Breeding

Autor: Matheus Massariol Suela, Moysés Nascimento, Ana Carolina Campana Nascimento, Camila Ferreira Azevedo, Paulo Eduardo Teodoro, Francisco José Correia Farias, Luiz Paulo de Carvalho, Diego Jarquin

Publikováno v: Agriculture, Vol 14, Iss 11, p 1914 (2024)

Breeding programs rely on genotype-by-environment interaction (GEI) to recommend cultivars for specific locations. GEI describes how different genotypes perform under varying environmental conditions. Several methods were proposed to assess adaptabil

Externí odkaz: https://doaj.org/article/28bd541255634fed974ab30a5562a29d

Nonlinear Mixed-Effect Models to Describe Growth Curves of Pepper Fruits in Eight Cultivars Including Group Effects

Autor: Filipe Ribeiro Formiga Teixeira, Paulo Roberto Cecon, Matheus Massariol Suela, Moysés Nascimento

Publikováno v: Agronomy, Vol 13, Iss 8, p 2042 (2023)

Evaluating the behavior of fruit width and length characters throughout the pepper crop cycle is essential for researchers in decision-making aimed at developing appropriate management techniques and harvesting fruits at proper growth stages. The Non

Externí odkaz: https://doaj.org/article/18d7d147fdf348129c4d1588bb4620cf

Combined index of genomic prediction methods applied to productivity

Autor: Matheus Massariol Suela, Leísa Pires Lima, Camila Ferreira Azevedo, Marcos Deon Vilela de Resende, Moysés Nascimento, Fabyano Fonseca e Silva

Publikováno v: Ciência Rural, Vol 49, Iss 6

ABSTRACT: Rice cultivation has great national and global importance, being one of the most produced and consumed cereals in the world and the primary food for more than half of the world’s population. Because of its importance as food, developing e

Externí odkaz: https://doaj.org/article/eb764b1470df471a8e261a8e089042cd

Updating knowledge in estimating the genetics parameters: Multi-trait and Multi-Environment Bayesian analysis in rice

Autor: Camila Ferreira Azevedo, Cynthia Aparecida Valiati Barreto, Matheus Massariol Suela, Moysés Nascimento, Antônio Carlos da Silva Júnior, Ana Carolina Campana Nascimento, Cosme Damião Cruz, Plínio César Soraes

Publikováno v: Scientia Agricola v.80 2023
Scientia Agrícola
Universidade de São Paulo (USP)
instacron:USP
Scientia Agricola, Volume: 80, Article number: e20220056, Published: 10 OCT 2022

Among the multi-trait models selected to study several traits and environments jointly, the Bayesian framework has been a preferred tool when constructing a more complex and biologically realistic model. In most cases, non-informative prior distribut

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3d11a4f57b40e49cc9ffeb44ff2f9a42
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162023000100502

New insights into genomic selection through population-based non-parametric prediction methods

Autor: Camila Ferreira Azevedo, Marcos Deon Vilela de Resende, Fabyano Fonseca e Silva, Moysés Nascimento, Matheus Massariol Suela, Leísa Pires Lima, José Marcelo Soriano Viana

Publikováno v: Scientia Agricola v.76 n.4 2019
Scientia Agrícola
Universidade de São Paulo (USP)
instacron:USP
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA-Alice)
Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
Scientia Agricola, Volume: 76, Issue: 4, Pages: 290-298, Published: JUL 2019
LOCUS Repositório Institucional da UFV
Universidade Federal de Viçosa (UFV)
instacron:UFV
Scientia Agricola, Vol 76, Iss 4, Pp 290-298

Genome-wide selection (GWS) is based on a large number of markers widely distributed throughout the genome. Genome-wide selection provides for the estimation of the effect of each molecular marker on the phenotype, thereby allowing for the capture of

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::766cea736caad96d0d886d483e8461b9
https://doi.org/10.1590/1678-992x-2017-0351