Repository for version control of the BrAPI specifications
Code for "Using machine learning to combine genetic and environmental data for maize grain yield predictions across multi-environment trials" (Fernandes et. al 2024)
📈🌱 Mixed Models for Agriculture in R
We present here a 1D convolutional neural network model to predict grain protein content using spectroscopic data of multiple cereals
Using near-infrared spectroscopy (NIRS) and machine learning to determine oleic acid content from peanut raw grains
Tools and Statistical Procedures in Plant Science
Modeling of nutritional traits from multiple crops using NIRS and machine learning/statistics
R package for agricultural statistics — 16 ANOVA designs, 7 post-hoc tests, 7 stability methods. Published on CRAN.
Diallel analysis of carrot phenotypes
📉🌱 R für Bio- und Agrarwissenschaftler
Analysis of Selection Index in Plant Breeding
A collaborative BrAPI v2.1 workspace for multi-agent research via MCP. Search studies, germplasm, genotypes, & more - across Breedbase, T3, Sweetpotatobase, & any BrAPI v2-compliant server.
Python library for data extraction from drone orthomosaics in plant breeding trials.
Bulk Segregant Analysis for QTL mapping from pooled whole-genome sequencing data.
Characterise near-isogenic and backcross-derived lines against their parents from SNP genotypes, in the browser. Open source.
Correspondence-free pipeline for validating genomic diversity maps of sweet potato collections. PCA/UMAP + kNN graphs on DArT SNP matrices; PCA-30D vs autoencoders in n≪p regimes. Conference poster.
List of papers related to Agricultural Statistics, Plant Breeding, and Quantitative Genetics
Ranks and selects progeny in marker-assisted backcross programs: foreground and avoid loci, recurrent-parent recovery, linkage-drag bounds, QC flags and a weighted composite score. Python core with a Shiny for Python UI.
Open-source R framework for simulating breeding populations and benchmarking genomic prediction methods.
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