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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 徐濟泰 | zh_TW |
dc.contributor.advisor | Jih-Tay Hsu | en |
dc.contributor.author | 丘昀融 | zh_TW |
dc.contributor.author | Yun-Jung Chiu | en |
dc.date.accessioned | 2023-08-15T16:24:19Z | - |
dc.date.available | 2023-11-09 | - |
dc.date.copyright | 2023-08-15 | - |
dc.date.issued | 2023 | - |
dc.date.submitted | 2023-07-14 | - |
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PLoS One. 18:e0280098. doi: https://doi.org/10.1371/journal.pone.0280098. Van Marle-Köster, E., S. J. Pretorius, and E. C. Webb. 2019. Morphological and physiological characteristics of claw quality in South African Bonsmara cattle. S. Afr. J. Anim. 49:964-974. doi: http://dx.doi.org/10.4314/sajas.v49i5.20. Van Metre, D. C. 2017. Pathogenesis and treatment of bovine foot rot. Vet. Clin. North. Am. Food Anim. Pract. 33:183-194. doi: https://doi.org/10.1016/j.cvfa.2017.02.003. Vermunt, J. J., and P. R. Greenough. 1995. Structural characteristics of the bovine claw: Horn growth and wear, horn hardness and claw conformation. Br. Vet. J. 151:157-180. doi: https://doi.org/10.1016/S0007-1935(95)80007-7. Weigele, H. C., L. Gygax, A. Steiner, B. Wechsler, and J. B. Burla. 2018. Moderate lameness leads to marked behavioral changes in dairy cows. J. Dairy Sci. 101:2370-2382. doi: https://doi.org/10.3168/jds.2017-13120. Werema, C. W., L. Laven, K. Mueller, and R. Laven. 2021. Evaluating alternatives to locomotion scoring for lameness detection in pasture-based dairy cows in New Zealand: infrared thermography. Animals. 11:3473. doi: https://doi.org/10.3390/ani11123473. Whay, H. R., A. E. Waterman, and A. J. Webster. 1997. Associations between locomotion, claw lesions and nociceptive threshold in dairy heifers during the peri-partum period. Vet. J. 154:155-161. doi: https://doi.org/10.1016/s1090-0233(97)80053-6. Whay, H. R., A. E. Waterman, A. J. F. Webster, and J. K. O'Brien. 1998. The influence of lesion type on the duration ofhyperalgesia associated with hindlimb lameness in dairy cattle. Vet. J. 156:23-29. doi: https://doi.org/10.1016/S1090-0233(98)80058-0. Wood, S., Y.-C. Lin, T. G. Knowles, and D. Main. 2014. Infrared thermometry for lesion monitoring in cattle lameness. Vet. Rec. 176:308. doi: https://doi.org/10.1136/vr.102571. Youden, W. J. 1950. Index for rating diagnostic tests. Cancer. 3:32-35. Zhao, X. J., Z. P. Li, J. H. Wang, X. M. Xing, Z. Y. Wang, L. Wang, and Z. H. Wang. 2015. Effects of chelated Zn/Cu/Mn on redox status, immune responses and hoof health in lactating Holstein cows. J. Vet. Sci. 16:439-446. doi: https://doi.org/10.4142/jvs.2015.16.4.439. Zhao, K., J. M. Bewley, D. He, and X. Jin. 2018. Automatic lameness detection in dairy cattle based on leg swing analysis with an image processing technique. Comput. Electron. Agric. 148:226-236. doi: https://doi.org/10.1016/j.compag.2018.03.014. Zheng, J., L. Sun, S. Shu, K. Zhu, C. Xu, J. Wang, and H. Wang. 2016. Nuclear magnetic resonance-based serum metabolic profiling of dairy cows with footrot. J. Vet. Med. Sci. 78:1421-1428. doi: https://doi.org/10.1292/jvms.15-0720. | - |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/88460 | - |
dc.description.abstract | 跛足、乳房炎與繁殖障礙為現今乳牛三大淘汰原因。即時偵測牛群中罹患蹄病之乳牛並給予治療是相當重要的,除了有助於減緩或反轉蹄病之進程之外,還能避免蹄病衍生的負面影響,並延長乳牛之使用年限。過去,我們透過肉眼觀察乳牛行走時的步態與姿勢,篩選跛足乳牛進行治療,但因此種方式費時、費力與過於主觀,尋求替代方案勢在必行。
現今,隨著科技進步,越來越多新興的電子產品問世,其中紅外線熱像儀因能測量物體表面溫度之變化,而被應用於檢測發炎反應,並作為乳牛蹄病診斷工具之一。然而,環境中的溫度、濕度、風速與太陽輻射皆會影響紅外線熱像儀之測量結果,因此研究學者對於在高溫環境中使用紅外線熱像儀偵測蹄病的可行性存有疑慮。故本試驗之目的有三,其一在探討亞熱帶氣候下藉由紅外線熱像儀偵測蹄病之可行性,其二為研究不同拍照方向是否會影響蹄部表面溫度之測量結果,以及探討整合乳牛行為數據與蹄部表面最高溫作為蹄病診斷工具之可行性。 結果顯示雖然環境溫度與蹄部表面溫度呈現正相關,但在高溫環境下,透過紅外線熱像儀測量到的患病蹄之溫度仍然顯著高於健康蹄。此外,患病蹄在不同拍照方向下的蹄部表面最高溫皆較健康蹄來的高。整合蹄部表面最高溫與乳牛活動量數據之蹄病判讀結果亦與臨床診斷達到75%之一致性。 總結而言,在亞熱帶高溫氣候下紅外線熱像儀具有偵測蹄病之潛力。三個拍照方向皆能藉由蹄部表面最高溫區分健康與患病蹄,可提供不同動線的牧場紅外線熱像儀架設之參考依據。畜牧業未來牧場管理趨勢為整合多個不同類型的自動化監測資料之結果,並提供牧場管理者即時警訊與解決方案建議,而在本試驗中結合紅外線熱像儀測量之蹄部溫度與乳牛活動量數據,可供作篩選牛群中蹄病牛,為日後相關研究開出先例,並藉由行為數據之輔助,使環境溫度對紅外線熱像儀判讀之干擾得以減少。 | zh_TW |
dc.description.abstract | Lameness, mastitis and reproductive disorder are the main culling causes in dairy cows. It is important to find and treat the cows with hoof lesions in the herd as early as possible. It can not only slow down or reverse the progress of hoof lesions, but also avoid derived negative effect and consequence. Moreover, it will prolong dairy cows’ longevity. In the past, people identified lame cows by observing their walking gaits and posture. This method is time-consuming, laborious, and rather subjective. Therefore, it is imperative to find an alternative way to detect hoof disease in dairy cattle.
Nowadays, with the advancement of technology, more and more electronic devices come out. Infrared thermography (IRT) is used as an inflammation detection tool, because it can measure the temperature change on the surface of the objects, and become one of the hoof lesions’ detecting devices for dairy cows. However, ambient temperature, humidity, wind speed, and radiation may affect the measurement of the IRT. Thence, researchers have a doubt about using IRT as a hoof lesion detection tool under high environmental temperature conditions. There were three purposes in this research proposal. First, to investigate the feasibility of detecting hoof lesion through IRT under subtropical climate conditions. Second, to examine the effect of different photo shooting angles on IRT measurement. Finally, to test the possibility to integrate monitoring of maximum hoof surface temperature by IRT and continuous data collection by automated behavior accelerometer to establish a new hoof lesion detection model. It is found that ambient temperature had positive correlation with hoof surface temperature, but the temperature of the hooves with lesion was still significantly higher than sound hooves in hot environments. Furthermore, hooves with lesion their max surface temperature was significantly higher than sound hooves in all three different photo shooting directions. The reliability of integrated maximum hoof surface temperature and activity accelerometer data as a hoof lesions’ detecting tool reached 75% precision based on confirmation by clinical diagnosis. In conclusion, IRT has the potential as a hoof lesion detection tool under subtropical climate conditions. All three different photo shooting directions of IRT could identify the sound hooves and hooves with lesion through max surface temperature measurement, and provided the basis for on-site IRT device installation. The future trend of animal agriculture is to integrate multiple types of automatic collected data, and provide real-time warning and recommend solutions to the farm managers. This is the first study that integrates max surface temperature measurement from IRT and accelerometer activity data to identify the lesion cows in the herd. With the aid of behavioral accelerometer data, the interference of ambient temperature on the IRT is reduced. | en |
dc.description.provenance | Submitted by admin ntu (admin@lib.ntu.edu.tw) on 2023-08-15T16:24:19Z No. of bitstreams: 0 | en |
dc.description.provenance | Made available in DSpace on 2023-08-15T16:24:19Z (GMT). No. of bitstreams: 0 | en |
dc.description.tableofcontents | 目錄
第一章 文獻探討 1 第一節 乳牛蹄病之負面影響 1 第二節 乳牛蹄部解剖構造 2 第三節 乳牛蹄病種類 5 第四節 乳牛運動評分系統 13 第五節 紅外線熱像儀與蹄病 14 第六節 行為記錄器與蹄病 16 第七節 研究目標 17 第二章 材料方法 18 第一節 實驗場所 18 第二節 試驗牛之選用 19 第三節 護蹄與修蹄流程 20 第四節 運動評分系統 21 第五節 蹄病分類與蹄病評分系統 23 第六節 紅外線熱成像圖之蒐集與分析 26 第七節 行為記錄器之蒐集與分析 29 第八節 泌乳量之蒐集 31 第三章 數據分類與統計分析 32 第一節 蹄部表面最高溫 32 第二節 影響蹄部表面溫度測量之因子 32 第三節 行為 34 第四節 模擬蹄病偵測模型 34 第五節 泌乳量 37 第四章 結果與討論 38 第一節 蹄部表面最高溫 38 第二節 影響蹄部表面溫度測量之因子 44 第三節 行為與蹄病 76 第四節 蹄病偵測整合模型 79 第五節 泌乳量與蹄病 92 第五章 結論 97 第六章 附錄 98 第七章 參考文獻 105 圖目錄 圖1.乳牛蹄部各部位名稱。 2 圖2.乳牛蹄部解剖構造。 5 圖3.乳牛趾皮膚炎。 6 圖4.乳牛趾間皮膚炎。 7 圖5.乳牛腐蹄病。 8 圖6.乳牛蹄葉炎。 10 圖7.乳牛蹄底潰瘍。 11 圖8.乳牛白線病。 12 圖9.手持式溫濕度計。 19 圖10.乳牛運動評分系統。 22 圖11.乳牛趾皮膚炎M3階段。 23 圖12.乳牛趾皮膚炎M4階段。 24 圖13.紅外線熱影像儀。 27 圖14.紅外線熱像儀之3個拍照方向。 28 圖15.乳牛眼睛紅外線熱成像圖。 29 圖16.蹄病偵測整合模型的分類標準。 36 圖17.A場健康與患病蹄之蹄部表面最高溫度與環境溫度之相關性散點圖。 45 圖18.B場健康與患病蹄之蹄部表面最高溫度與環境溫度之相關性散點圖。 47 圖19.A與B場同為前蹄或後蹄之患病蹄與健康蹄蹄部表面最高溫溫差與環境溫度相關性散點圖。 52 圖20.A場各胎次的健康蹄部之表面最高溫。 59 圖21.B場各胎次的健康蹄部之表面最高溫。 60 圖22.A場2中度蹄病與嚴重蹄病 之平均蹄部表面最高溫。 64 圖23.A場正面拍照方向下,患病蹄於不同患病蹄數量下之平均蹄部表面最高溫。 65 圖24.A場後面拍照方向下,患病蹄於不同患病蹄數量下之平均蹄部表面最高溫。 66 圖25.A場後面拍照方向下,患病蹄之平均蹄部表面最高溫,於胎次與蹄病種類之間具交互作用。 67 圖26.A場側面拍照方向下,患病蹄之平均蹄部表面最高溫,於患病蹄的數量與胎次之間具交互作用。 68 圖27.B場後面與側面拍照方向下,中度蹄病與嚴重蹄病之平均蹄部表面最高溫。 70 圖28.B場正面拍照方向下,患病蹄之平均蹄部表面最高溫,於蹄病種類與蹄病嚴重程度之間具交互作用。 71 表目錄 表1.西元2004至2006年中,四個季節乳牛群內蹄病泌乳牛數量與種類之記錄。 16 表2.蹄病嚴重程度之綜合分級。 26 表3.A與B場試驗乳牛其健康蹄與患病蹄之平均蹄部表面最高溫。 40 表4.A與B場試驗乳牛其前腳健康蹄與患病蹄之平均蹄部表面最高溫。 42 表5.A與B場試驗乳牛其後腳健康蹄與患病蹄之平均蹄部表面最高溫。 44 表6. A與B場環境溫度與健康蹄的蹄部表面最高溫之簡單線性回歸分析。 48 表7. A與B場環境溫度與患病蹄的蹄部表面最高溫之簡單線性回歸分析。 49 表8. A與B場之前後同側皆為健康蹄的溫差、前腳健康後腳疾病的溫差、前腳疾病後腳健康的溫差,與前後皆疾病的溫差之平均值差異。 54 表9.A場試驗乳牛其健康蹄與患病蹄於三段溫度區間之平均蹄部表面最高溫差異。 56 表10.B場試驗乳牛其健康蹄與患病蹄於三段溫度區間之平均蹄部表面最高溫差異。 57 表11. A與B場健康蹄於不同患病蹄數量下之平均蹄部表面最高溫。 62 表12. B場患病蹄在不同胎次與患病蹄數量的組別之平均蹄部表面最高溫。 69 表13.A與B場之健康牛與蹄病牛於修蹄前之活動量、反芻時間與採食時間之平均值差異。 78 表14.A場的蹄病牛修蹄前後1個月之每日活動量與每日反芻時間之差異。 79 表15.A場與B場使用運動評分系統作為蹄病診斷工具的敏感度(%)、特異度(%)與一致性(%)之結果。 80 表16.A場與B場之健康蹄與患病蹄蹄眼最高溫差之平均值差異。 81 表17.A與B場的蹄眼溫差之閾值,及其敏感度(%)、特異度(%)與一致性(%)之結果。 83 表18.A與B場的蹄部表面最高溫與修蹄前各項行為數據之閾值,及其敏感度(%)、特異度(%)與一致性(%)之結果。 85 表19.A場蹄部表面最高溫與修蹄前活動量之整合模型,作為蹄病診斷工具的敏感度(%)、特異度(%)與一致性(%)之結果。 87 表20.A場蹄部表面最高溫、修蹄前行為、前後蹄與環境溫度,作為蹄病診斷工具的勝算比、敏感度(%)、特異度(%)與一致性(%)之結果。 89 表21.B場蹄部表面最高溫、修蹄前行為、前後蹄與環境溫度,作為蹄病診斷工具的勝算比、敏感度(%)、特異度(%)與一致性(%)之結果。 91 表22.A與B場之健康乳牛與蹄病乳牛修蹄前3個月之泌乳量差異。 93 表23.A與B場之健康乳牛與蹄病乳牛305天之泌乳量差異。 94 表24.A與B場之蹄病乳牛修蹄前後1個月之泌乳量差異。 95 附錄目錄 附錄1. A場健康牛、中度蹄病牛與嚴重蹄病牛於修蹄前1-10天、11-20天與21-30天的每日活動量均值。 98 附錄2. A場健康牛、中度蹄病牛與嚴重蹄病牛於修蹄前1-10天、11-20天與21-30天的每日反芻時間均值。 99 附錄3. B場健康牛、中度蹄病牛與嚴重蹄病牛於修蹄前10天每日活動量均值。 100 附錄4. B場健康牛、中度蹄病牛與嚴重蹄病牛於修蹄前9天每日採食時間均值。 101 附錄5. A場與B場之健康牛與蹄病牛眼睛最高溫之平均值差異。 102 附錄6. A場與B場使用蹄部表面最高溫,並於低、中、高環境溫度區間下各自設定閾值,作為蹄病診斷工具的一致性之結果。 103 附錄7. A場使用前腳與後腳蹄部表面最高溫與修蹄前活動量之整合模型,作為蹄病診斷工具的一致性之結果。 104 | - |
dc.language.iso | zh_TW | - |
dc.title | 運用紅外線熱像儀偵測乳牛蹄病 | zh_TW |
dc.title | Application of infrared thermography as detection tool for hoof disease in dairy cows | en |
dc.type | Thesis | - |
dc.date.schoolyear | 111-2 | - |
dc.description.degree | 博士 | - |
dc.contributor.oralexamcommittee | 林恩仲;莊士德;林怡君;李國華 | zh_TW |
dc.contributor.oralexamcommittee | En-Chung Lin;Shih-Te Chuang ;Yi-Chun Lin;Kuo-Hua Lee | en |
dc.subject.keyword | 乳牛,蹄病,紅外線熱像儀,亞熱帶氣候,活動量, | zh_TW |
dc.subject.keyword | Dairy cows,Hoof lesions,Infrared thermography,Subtropical climate,Accelerometer activity, | en |
dc.relation.page | 119 | - |
dc.identifier.doi | 10.6342/NTU202301571 | - |
dc.rights.note | 未授權 | - |
dc.date.accepted | 2023-07-17 | - |
dc.contributor.author-college | 生物資源暨農學院 | - |
dc.contributor.author-dept | 動物科學技術學系 | - |
顯示於系所單位: | 動物科學技術學系 |
文件中的檔案:
檔案 | 大小 | 格式 | |
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ntu-111-2.pdf 目前未授權公開取用 | 5.04 MB | Adobe PDF |
系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。