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View article: Repeatability of quantitative characteristics in sweet orange through mixed-model methodology
Repeatability of quantitative characteristics in sweet orange through mixed-model methodology Open
The objective was to estimate the repeatability coefficient of quantitative traits in multiple harvests of sweet orange, in order to infer the minimum number of evaluations necessary to identify superior genotypes of orange trees through t…
View article: Incorporating prior knowledge into Bayesian models for genetic evaluation in soybean breeding
Incorporating prior knowledge into Bayesian models for genetic evaluation in soybean breeding Open
The objective of this work was to compare the use of noninformative and informative priors in Bayesian models, as well as to evaluate the viability of including informative priors in the estimation of variance components and genetic values…
View article: Multi-trait multi-environment models for selecting high-performance and stable eucalyptus clones
Multi-trait multi-environment models for selecting high-performance and stable eucalyptus clones Open
Multi-trait multi-environment (MTME) models were fitted to eucalyptus breeding trials data to assess residual variance structure, genetic stability and adaptability. To do so, 215 eucalyptus clones were evaluated in a randomized complete b…
View article: Using visual scores and categorical data for genomic prediction of complex traits in breeding programs
Using visual scores and categorical data for genomic prediction of complex traits in breeding programs Open
Most genomic prediction methods are based on assumptions of normality due to their simplicity and ease of implementation. However, in plant and animal breeding, traits are often collected as categorical data, thus violating the normality a…
View article: Maximizing multi-trait gain and diversity with Genetic Algorithms
Maximizing multi-trait gain and diversity with Genetic Algorithms Open
Genetic gain followed by loss of diversity is not ideal in breeding programs for several species, and most studies face this problem for single traits. Thus, we propose a selection method based on Genetic Algorithms (GA) to optimize the ga…
View article: Very Early Biomarkers Screening for Water Deficit Tolerance in Commercial Eucalyptus Clones
Very Early Biomarkers Screening for Water Deficit Tolerance in Commercial Eucalyptus Clones Open
The identification of genotypes more tolerant to water deficit is a challenge to breeding programs. In this research, our objectives were to identify and validate traits for tolerance to water deficit in eucalypts. The estimation of genoty…
View article: Using visual scores and categorical data for genomic prediction of complex traits in breeding programs
Using visual scores and categorical data for genomic prediction of complex traits in breeding programs Open
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 viola…
View article: Combined BLUP selection indexes with parents and F2 populations in soybean (Glycine max) breeding
Combined BLUP selection indexes with parents and F2 populations in soybean (Glycine max) breeding Open
This study aimed to apply selection indexes in situations in which F2 populations and their parents are evaluated simultaneously in field trials to predict population genotypic values and selecting the best populations. Fifteen F2 soybean …
View article: Increasing cassava root yield: Additive-dominant genetic models for selection of parents and clones
Increasing cassava root yield: Additive-dominant genetic models for selection of parents and clones Open
Genomic selection has been promising in situations where phenotypic assessments are expensive, laborious, and/or inefficient. This work evaluated the efficiency of genomic prediction methods combined with genetic models in clone and parent…
View article: ESTIMATES OF GENETIC PARAMETERS AND SELECTION GAINS FOR PHENOLOGICAL AND PRODUCTIVE CHARACTERISTICS IN MACAW PALM: AN IMPORTANT PLANT FOR BIOENERGY
ESTIMATES OF GENETIC PARAMETERS AND SELECTION GAINS FOR PHENOLOGICAL AND PRODUCTIVE CHARACTERISTICS IN MACAW PALM: AN IMPORTANT PLANT FOR BIOENERGY Open
This study aimed to estimate genetic traits, determine genetic correlation, and predict breeding values as a way to select macaw palm accessions from the Germplasm Bank of the Universidade Federal de Viçosa, Minas Gerais, Brazil.This trial…
View article: Multivariate Analysis Methods Improve The Selection Of Strawberry Genotypes With Low Cold Requirement
Multivariate Analysis Methods Improve The Selection Of Strawberry Genotypes With Low Cold Requirement Open
Methods of multivariate analysis is a powerful approach to assist the initial stages of crops genetic improvement, particularly, because it allows many traits to be evaluated simultaneously. In this study, heat-tolerant genotypes have been…
View article: Genetic evaluation and selection in Jatropha curcas L.
Genetic evaluation and selection in Jatropha curcas L. Open
J. curcas (physic nut) is one of the most promising oilseeds for biofuel production and the knowledge about genetic parameter estimates is important for its breeding. Here, we evaluated 121 families, from 48 to 60 months of age, aiming gen…
View article: Statistical significance, selection accuracy, and experimental precision in plant breeding
Statistical significance, selection accuracy, and experimental precision in plant breeding Open
Genetic selection efficiency is measured by accuracy. Model selection relies on hypothesis testing with effectiveness given by statistical significance (p-value). Estimates of selection accuracy are based on variance parameters and precisi…
View article: Environmental stratification and genotype recommendation toward the soybean ideotype: a Bayesian approach
Environmental stratification and genotype recommendation toward the soybean ideotype: a Bayesian approach Open
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 this study were: i) propose the Multi-Environment Index Based o…
View article: Use of the REML/BLUP methodology for the selection of sweet orange genotypes
Use of the REML/BLUP methodology for the selection of sweet orange genotypes Open
The objective of this work was to select superior sweet orange (Citrus sinensis) genotypes with higher yield potential based on data from eight harvests, using the residual or restricted maximum likelihood/best linear unbiased prediction (…
View article: Effective population size and genetic gain expected in a population of Coffea canephora
Effective population size and genetic gain expected in a population of Coffea canephora Open
This work aimed to study the effective population size and genetic gain in a population of robusta coffee (Coffea canephora Pierre) and verify the possibility of using recurrent selection. The experiment comprised 25 treatments, consisting…
View article: Genetic evaluation of Pinus taeda clones from somatic embryogenesis and their genotype x environment interaction
Genetic evaluation of Pinus taeda clones from somatic embryogenesis and their genotype x environment interaction Open
The objective of this study was to evaluate the genotype x environment interaction and to estimate the genetic components of variance and mean using mixed models in early selection of 238 clones of Pinus taeda propagated by somatic embryog…
View article: Statistical significance, selection accuracy, and experimental precision in plant breeding
Statistical significance, selection accuracy, and experimental precision in plant breeding Open
Genetic selection efficiency is measured by accuracy. Model selection relies on hypothesis testing with effectiveness given by statistical significance (p-value). Estimates of selection accuracy are based on variance parameters and precisi…
View article: Andrade et al FPS 2022
Andrade et al FPS 2022 Open
Dataset applied for the Genomic prediction analysis in Genomic prediction for parent and clone selection manuscript submitted in Frontiers in Plant Science
View article: Multivariate Bayesian analysis for genetic evaluation and selection of Eucalyptus in multiple environment trials
Multivariate Bayesian analysis for genetic evaluation and selection of Eucalyptus in multiple environment trials Open
Forest plantations are strong allies in preserving natural resources, providing social and economic benefits. The plantations carried out in the coming years will be vital to meet the growing demand for forest products. To ensure the conti…
View article: TOP GRAFTING TO ACCELERATE SELF-POLLINATION IN Eucalyptus BREEDING
TOP GRAFTING TO ACCELERATE SELF-POLLINATION IN Eucalyptus BREEDING Open
The top grafting technique can make early flowering possible and consequently accelerate self-pollination in Eucalyptus breeding, reducing the period of each generation. This study aims to establish a methodology to top graft by applying t…
View article: Genetic evaluation and selection in Jatropha curcas through Frequentist and Bayesian inferences
Genetic evaluation and selection in Jatropha curcas through Frequentist and Bayesian inferences Open
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 performance of Frequentist and Bayesian inferences for repeated me…
View article: Designing the best breeding strategy for Coffea canephora: Genetic evaluation of pure and hybrid individuals aiming to select for productivity and disease resistance traits
Designing the best breeding strategy for Coffea canephora: Genetic evaluation of pure and hybrid individuals aiming to select for productivity and disease resistance traits Open
Breeding programs of the species Coffea canephora rely heavily on the significant genetic variability between and within its two varietal groups (conilon and robusta). The use of hybrid families and individuals has been less common. The ob…
View article: Can Cross-Country Genomic Predictions Be a Reasonable Strategy to Support Germplasm Exchange? – A Case Study With Hydrogen Cyanide in Cassava
Can Cross-Country Genomic Predictions Be a Reasonable Strategy to Support Germplasm Exchange? – A Case Study With Hydrogen Cyanide in Cassava Open
Genomic prediction (GP) offers great opportunities for accelerated genetic gains by optimizing the breeding pipeline. One of the key factors to be considered is how the training populations (TP) are composed in terms of genetic improvement…
View article: Determination of optimal number of independent components in yield traits in rice
Determination of optimal number of independent components in yield traits in rice Open
The principal component regression (PCR) and the independent component regression (ICR) are dimensionality reduction methods and extremely important in genomic prediction. These methods require the choice of the number of components to be …
View article: Evaluation of a new additive-dominance genomic model and implications for quantitative genetics and genomic selection
Evaluation of a new additive-dominance genomic model and implications for quantitative genetics and genomic selection Open
The Fisher?s infinitesimal model is traditionally used in quantitative genetics and genomic selection, and it attributes most genetic variance to additive variance. Recently, the dominance maximization model was proposed and it prioritizes…
View article: Theobroma Grandiflorum Breeding Optimization Based on Repeatability, Stability and Adaptability Information
Theobroma Grandiflorum Breeding Optimization Based on Repeatability, Stability and Adaptability Information Open
The cultivation of Theobroma grandiflorum in the Brazilian Amazon is mainly conducted by family farmers who use a range of different management straegies. Thus, breeding programs of the species must address the challenge of developing cult…