Repository for version control of the BrAPI specifications

Utilities for field trial analysis.

📈🌱 Mixed Models for Agriculture in R

Code for "Using machine learning to combine genetic and environmental data for maize grain yield predictions across multi-environment trials" (Fernandes et. al 2024)

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

Python library for data extraction from drone orthomosaics in plant breeding trials.

Analysis of Selection Index in Plant Breeding

List of papers related to Agricultural Statistics, Plant Breeding, and Quantitative Genetics

Bioinformatic workflow, statistical analysis and figure preparation for the "Wild again: Recovery of a beneficial Cannabis seed endophyte from low domestication genotypes" MS

A Python library for Statistical Analysis and Simulations of Plant Breeding Experiments, designed specifically for researchers and students who are new to programming but want to understand field design concepts through practical implementation.

A Practical Haplotype Graph (PHG) for apple (Malus domestica)

Data repository for the paper of the same name.

Principal Component Analysis, PCA, Gaussian Markov Random Fields, Graphical model,

Gradient Boosting Regression (GBR, https://github.com/scikit-learn/scikit-learn) model for genomic predictions

Combining ability analysis for Line x Tester design in R.