Repository for version control of the BrAPI specifications
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Updated
Jun 11, 2026 - Python
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
Diallel analysis of carrot phenotypes
📉🌱 R für Bio- und Agrarwissenschaftler
Analysis of Selection Index in Plant Breeding
R package for agricultural statistics — 16 ANOVA designs, 7 post-hoc tests, 7 stability methods. Published on CRAN.
Python library for data extraction from drone orthomosaics in plant breeding trials.
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.
Bulk Segregant Analysis for QTL mapping from pooled whole-genome sequencing data.
List of papers related to Agricultural Statistics, Plant Breeding, and Quantitative Genetics
Focused WSL-backed Primer3 and primer specificity GUI for Windows
The package is a CLI tool for benchmarking genomic selection models in plant breeding.
Focused WSL-backed BLAST, BLAST-OR, and database GUI for Windows
Windows/WSL GUI sequence workbench for local BLAST, Primer-BLAST-style primer design, and plant genomics workflows
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