Modeling covariance structures and optimizing Jatropha curcas breeding
JSPC Evangelista, MA Peixoto, IF Coelho… - Tree Genetics & …, 2023 - Springer
Jatropha curcas has become a prominent source of biofuel, especially because of the high
oil content in its fruit. The aim of this study was to test different statistic models and compare …
oil content in its fruit. The aim of this study was to test different statistic models and compare …
Variation of Cones Production in a Silver Fir (Abies alba Mill.) Clonal Seed Orchard
M Teodosiu, A Botezatu, E Ciocîrlan, G Mihai - Forests, 2022 - mdpi.com
The current study is the first to describe fertility dynamics in a Silver fir (Abies alba Mill.) seed
orchard and among the few reporting related information from a mature seed orchard. The …
orchard and among the few reporting related information from a mature seed orchard. The …
Multi-trait and multi-environment Bayesian analysis to predict the G x E interaction in flood-irrigated rice
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 …
genotypes that present development of high-yielding varieties with specific grain qualities …
Multiple-trait model through Bayesian inference applied to flood-irrigated rice (Oryza sativa L)
The objectives of this study were to use a bayesian multi-trait model, estimate genetic
parameters, and select flood-irrigated rice genotypes with better genetic potentials in …
parameters, and select flood-irrigated rice genotypes with better genetic potentials in …
Bayesian inference applied to soybean grown under different shading levels using the multiple-trait model
ABSTRACT present study aimed to determine the effects of different light restriction levels
(shading levels) on soybean genetic parameters using a Bayesian multi-trait model (MTM) …
(shading levels) on soybean genetic parameters using a Bayesian multi-trait model (MTM) …
[HTML][HTML] Environmental stratification and genotype recommendation toward the soybean ideotype: a Bayesian approach
JSPC Evangelista, MA Peixoto, IF Coelho… - Crop Breeding and …, 2021 - SciELO Brasil
The genotype× environment (G× E) interaction plays an essential role in phenotypic
expression and can lead to difficulties in genotypes recommendation. Thus, the objectives of …
expression and can lead to difficulties in genotypes recommendation. Thus, the objectives of …
Multitrait and multiharvest analyses for genetic assessment and selection of Tahiti acid lime genotypes through Bayesian inference
MA Peixoto, RG Malikouski, JSPC Evangelista… - Scientia …, 2021 - Elsevier
Fruit breeding programs demand substantial investment for the development and selection
of superior genotypes. Thus, statistical methods that allow a reliable genetic evaluation …
of superior genotypes. Thus, statistical methods that allow a reliable genetic evaluation …
[PDF][PDF] Bayesian inference applied to soybean grown under different shading levels
AC da Silva Júnior, WG da Costa, AG Guimarães… - Sci …, 2024 - scholar.archive.org
Biometry, Modeling, and Statistics Page 1 https://doi.org/10.1590/1678-992X-2022-0233 Sci.
Agric. v.81, e20220233 , 2024 ISSN 1678-992X ABSTRACT: present study aimed to determine …
Agric. v.81, e20220233 , 2024 ISSN 1678-992X ABSTRACT: present study aimed to determine …
[HTML][HTML] Genetic evaluation and selection in Jatropha curcas through Frequentist and Bayesian inferences
JSPC Evangelista, MA Peixoto, I Coelho, R Alves… - Bragantia, 2022 - SciELO Brasil
An accurate and efficient statistical method for genetic evaluation is a key requirement for
progress in any breeding program. Thus, the present study aimed to evaluate the …
progress in any breeding program. Thus, the present study aimed to evaluate the …
[HTML][HTML] Updating knowledge in estimating the genetics parameters: Multi-trait and Multi-Environment Bayesian analysis in rice
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 …
Bayesian framework has been a preferred tool when constructing a more complex and …