Early detection of production problem by using pig production records

2021 Fiscal Year Final Research Report

• Project/Area Number: 19K15964
• Research Category: Grant-in-Aid for Early-Career Scientists
• Allocation Type: Multi-year Fund
• Review Section: Basic Section 42010:Animal production science-related
• Research Institution: University of Miyazaki
• Principal Investigator: Sasaki Yosuke 宮崎大学, 農学部, 准教授 (60704674)
• Project Period (FY): 2019-04-01 – 2022-03-31
• Keywords: 養豚 / ビッグデータ / 疫学

Outline of Final Research Achievements

The present study developed the early detection system of production loss in pig production by using database that obtained from commercial farms. As a result, this study revealed that occurrences of porcine epidemic diarrhea and classical swine fever dramatically decreased farm productivity and interfered with the activity of standard operating procedure. Additionally, this study assessed reproductive and growth performance of pigs on commercial swine farms, and found there was no negative effect of cross-fostering on productivity at weaning and after weaning. Furthermore, this study developed tool to evaluate pig flow on commercial swine farms and procedure how to use sow herd structure information to predict farm productivity.

Free Research Field

疫学

Academic Significance and Societal Importance of the Research Achievements

日本は養豚農場の密集地帯が多く、疾病の侵入リスクが比較的高いという欠点を抱えているため、生産性向上のためには、高い衛生状態を保ち、疾病の発生を防除すること、そして、疾病が発生した際にはその発生を早期に検出し、対策することが必須である。本研究では、養豚生産記録のビッグデータを活用して、異常事態を早期に検出するシステムを開発することを目的として、養豚生産記録を活用した様々な分析を実施し、そのシステムを構築することができた。