Statistical packages (Metacran, CRAN)

1. NAM: GWAS & breeding toolbox

2. bWGR: Genomic prediction

3. SoyNAM: SoyNAM dataset

4. ClickNAM: Online GWA analysis

5. Accuracy1: Multi-loc GS accuracy

6. Accuracy2: Multi-trait GS accuracy

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Alencar's publication links

GitHub  Resume  ResearchGate

GoogleScholar  ORCID  Loop Publons

GITHUB WEBSITE​

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Selected publications

1. Fitting multivariate mixed model efficiently

2. Efficient marker effect estimation

3. Genomic association among traits

4. Black boxes of statistical breeding

5. Genomic prediction in soybean

6. Architecture of phenomic traits

7. Decomposition of yield components

8. Machine learning implementation

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Background material

• Purdue lecture 2022: Variance components estimation

• Purdue lecture 2021: Breeding analytics overview

• Iowa State Symposium (2021): Video,  Slides

• Lecture (ANSC595): Challenges of Genomic selection

• III International Meeting on Plant Breeding 2019:  Slides, Talk

• ​Mixed model workshop (Purdue 2019): Slides

• Presentation (PAG 2019): Good learners, fast learning

• UFV Symposium 2018: Talk, Lec1, Lab1, Lec3, Lab3, Lec4

• Lecture (Agry611/2017): Genetic of Populations

• Lecture(Agry611,620/2017): Mixed Linear Model

• Lecture(Agry611/2017): Advanced topics ML

• ​Doc (Agry611/2017): Mixed Model Cheatsheet

• Lecture (Workshop 2017): Phenomic analysis

• Text on (Agry611/2015): 1) LD 2) Mixed Models

• Text on (Agry611/2017): Graphics in R

• Lecture (Agry620/2017): Spatial analysis

• Presentation (Agry620/2017): Introduction to R

• Presentation (Thesis 2015): Learning from data