Obihiro University of Agriculture and Veterinary Medicine

大規模データをコンピューターで整理・分析することで、個々の農場では分かりにくい全体の傾向や隠れたパターンを見つけることができ、より良い管理方法や育種戦略へと繋がり、目に見える形で産業へと応用されることもあります。これは、研究を行っている中でとてもやりがいを感じる瞬間です。データ解析の力で畜産業の未来をよりよくしていきましょう！

I conduct statistical analyses using large-scale data called Dairy Herd Improvement (DHI) records, which are collected from dairy farms across Japan, to investigate factors related to the productivity and health of dairy cows. In particular, I have focused on heat stress tolerance—an issue that has become increasingly severe with the progress of global warming—and studied its relationship with milk yield and reproductive performance. By working with data on hundreds of thousands of cows, I aim to capture overall trends that are difficult to observe at the level of individual farms and to provide insights that contribute to the sustainable development of dairy farming. Harnessing the power of statistics and data science, I am engaged in research that provides scientific evidence to address challenges in the field.

Research on genetic improvement of heat stress tolerance in dairy cows
Research on the metabolic status of dairy cows