Repository for version control of the BrAPI specifications

A Breeding Api (BrAPI) implementation written in Java. Contains all data objects, client and server interfaces for all modules.

Tools and Statistical Procedures in Plant Science

We present here a 1D convolutional neural network model to predict grain protein content using spectroscopic data of multiple cereals

Diallel analysis of carrot phenotypes

Analysis of Selection Index in Plant Breeding

Modeling of nutritional traits from multiple crops using NIRS and machine learning/statistics

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

Using near-infrared spectroscopy (NIRS) and machine learning to determine oleic acid content from peanut raw grains

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

This repository serves to document, share, and collaborate on scripts used in the University of Arkansas fruit breeding lab.

📉🌱 R für Bio- und Agrarwissenschaftler

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

PopAllele encodes and decode the genetic distribution of alleles within populations

Data repository for the paper of the same name.

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

BrAPI proxy solution