Genomic analysis of modern maize inbred lines reveals diversity and selective breeding effects – LETTER TO THE EDITOR (2024) Kaijian Fan

Description

A study conducting genome-wide selection analysis and machine learning feasibility tests using Deep Neural Network Genomic Prediction (DNNGP) on a large panel of 2,430 modern maize inbred lines. The research explores rare and favorable allelic variations to understand missing genetic diversity and improve future breeding strategies for traits like yield potential, density tolerance, and disease resistance.