2023 Fiscal Year Final Research Report
Accuracy of bull evaluation using only daughter data from dairy farms which are used biometric sensors.
Project/Area Number |
21K05899
|
Research Category |
Grant-in-Aid for Scientific Research (C)
|
Allocation Type | Multi-year Fund |
Section | 一般 |
Review Section |
Basic Section 42010:Animal production science-related
|
Research Institution | National Agriculture and Food Research Organization |
Principal Investigator |
Yamazaki Takeshi 国立研究開発法人農業・食品産業技術総合研究機構, 北海道農業研究センター, 上級研究員 (00414764)
|
Project Period (FY) |
2021-04-01 – 2024-03-31
|
Keywords | 乳用牛 / 生体センサー / 種雄牛評価 |
Outline of Final Research Achievements |
Biometric sensor data, which are becoming increasingly popular in dairy farms, are expected to be the indicator for evaluating and selecting bulls with high breeding value of female fertility. However, there is concern that the bias in the feeding management systems of sensor-equipped daughter may reduce the accuracy of the evaluation. Therefore, we examined the relationship between the bias of data collection farmers and evaluation accuracy by using the field data collected through the Dairy Herd Improvement program. The evaluation based on biased herd daughter data does not reduce the accuracy of bull's proofs, but it does cause bias. The bias of daughter data can be reduced by devising the data collection method, although the farms introduced the sensor were biased in their feeding management systems.
|
Free Research Field |
家畜育種
|
Academic Significance and Societal Importance of the Research Achievements |
本成果は、偏った少数の牛群データに基づくゲノミック評価が国際的に開始され初めた現在に生じているバイアスに関する原因の探求および補正の検討において重要な知見となる。
|