Validation and Use of the RumiWatch Noseband Sensor for Monitoring Grazing Behaviours of Lactating Dairy Cows
Abstract
:1. Introduction
2. Materials and Methods
2.1. Site and Background Information
2.2. Animals
2.3. Behaviour Observations
2.4. RumiWatch
2.5. Data Preparation
2.6. Statistical Analyses
3. Results
3.1. Validation of the RumiWatch Sensor
3.2. The Relationship between Sensor Behaviour Data and Milk Production
4. Discussion
4.1. Validation of the RumiWatch Noseband Sensor
4.2. Ingestive and Rumination Behaviour and Milk Production Relationships
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- Cheng, L.; Al-Marashdeh, O.; McCormick, J.; Guo, X.; Chen, A.; Logan, C.; Edwards, G. Live weight gain, animal behaviour and urinary nitrogen excretion of dairy heifers grazing ryegrass–white clover pasture, chicory or plantain. N. Z. J. Agric. Res. 2018, 61, 454–467. [Google Scholar] [CrossRef]
- Werner, J.; Leso, L.; Umstatter, C.; Niederhauser, J.; Kennedy, E.; Geoghegan, A.; Shalloo, L.; Schick, M.; O’Brien, B. Evaluation of the RumiWatchSystem for measuring grazing behaviour of cows. J. Neurosci. Methods 2018, 300, 138–146. [Google Scholar] [CrossRef] [PubMed]
- Carvalho, P.C.D.F. Harry Stobbs memorial lecture: Can grazing behaviour support innovations in grassland management? Trop. Grassl. 2013, 1, 137–155. [Google Scholar] [CrossRef]
- Hostiou, N.; Allain, C.; Chauvat, S.; Turlot, A.; Pineau, C.; Fagon, J. L’élevage de précision: Quelles conséquences pour le travail des éleveurs. INRA Prod. Anim. 2014, 27, 113–122. [Google Scholar] [CrossRef] [Green Version]
- Andriamandroso, A.; Bindelle, J.; Mercatoris, B.; Lebeau, F. A review on the use of sensors to monitor cattle jaw movements and behavior when grazing. Biotechnol. Agron. Soc. Env. 2016, 20. [Google Scholar] [CrossRef]
- Werner, J.; Viel, J.; Niederhauser, J.; O’Leary, N.; Umstatter, C.; O’Brien, B. Validation of New Algorithms for the RumiWatch Noseband Sensor to Detect Grazing Behaviour of Dairy Cows. Sustainable Meat and Milk Production from Grasslands. In Proceedings of the 27th General Meeting of the European Grassland Federation, Cork, Ireland, 17–21 June 2018; Volume 3, pp. 917–919. Available online: https://www.europeangrassland.org/fileadmin/documents/Infos/Printed_Matter/Proceedings/EGF2018.pdf#page=979 (accessed on 21 November 2020).
- Rombach, M.; Münger, A.; Niederhauser, J.; Südekum, K.H.; Schori, F. Evaluation and validation of an automatic jaw movement recorder (RumiWatch) for ingestive and rumination behaviors of dairy cows during grazing and supplementation. J. Dairy Sci. 2018, 101, 2463–2475. [Google Scholar] [CrossRef] [PubMed]
- Ruuska, S.; Kajava, S.; Mughal, M.; Zehner, N.; Mononen, J. Validation of a pressure sensor-based system for measuring eating, rumination and drinking behaviour of dairy cattle. Appl. Anim. Behav. Sci. 2016, 174, 19–23. [Google Scholar] [CrossRef]
- Werner, J.; Leso, L.; Umstatter, C.; Schick, M.; O’Brien, B. Evaluation of Precision Technologies for Measuring Cows’ Grazing Behaviour. Grassland Resources for Extensive Farming Systems in Marginal Lands: Major Drivers and Future Scenarios. In Proceedings of the 19th Symposium of the European Grassland Federation, Alghero, Italy, 7–10 May 2017; Volume 4, pp. 82–84. Available online: https://core.ac.uk/download/pdf/162101486.pdf#page=107 (accessed on 21 November 2020).
- Baudracco, J.; Lopez-Villalobos, N.; Holmes, C.W.; Macdonald, K.A. Prediction of Herbage Dry Matter Intake for Dairy Cows Grazing Ryegrass-Based Pastures. In Proceedings of the New Zealand Society of Animal Production, Palmerston North, New Zealand, 2010; Volume 70, pp. 80–85. Available online: http://www.nzsap.org/proceedings/2010/prediction-herbage-dry-matter-intake-dairy-cows-grazing-ryegrass-based-pastures (accessed on 9 November 2020).
- Hristov, A.N.; Price, W.J.; Shafii, B. A meta-analysis examining the relationship among dietary factors, dry matter intake, and milk and milk protein yield in dairy cows. J. Dairy Sci. 2004, 87, 2184–2196. [Google Scholar] [CrossRef] [Green Version]
- Cullen, B.R.; Weng, H.M.; Talukder, S.; Cheng, L. Cow milking order and its influence on milk production in a pasture-based automatic milking system. Anim. Prod. Sci. 2020. [Google Scholar] [CrossRef]
- Jeffrey, S.J.; Carter, J.O.; Moodie, K.M.; Beswick, A.R. Using spatial interpolation to construct a comprehensive archive of Australian climate data. Environ. Model. Softw. 2001, 16, 309–330. [Google Scholar] [CrossRef]
- Landis, J.R.; Koch, G.G. The measurement of observer agreement for categorical data. Biometrics 1977, 159–174. [Google Scholar] [CrossRef] [Green Version]
- Champion, R.A.; Rutter, S.M.; Orr, R.J. Distinguishing Bites and Chews in Recordings of the Grazing Jaw Movements of Cattle. In Proceedings of the 5th Research Conference of the British Grassland Society, Newton Abbot, UK, 8–10 September 1997; pp. 171–172. Available online: https://repository.rothamsted.ac.uk/item/850y1/distinguishing-bites-and-chews-in-recordings-of-the-grazing-jaw-movements-of-cattle (accessed on 9 November 2020).
- Braun, U.; Zürcher, S.; Hässig, M. Evaluation of eating and rumination behaviour in 300 cows of three different breeds using a noseband pressure sensor. BMC Vet. Res. 2015, 11, 1–6. [Google Scholar] [CrossRef] [Green Version]
- Rugoho, I.; Edwards, G.R. Dry matter intake, body condition score, and grazing behavior of nonlactating, pregnant dairy cows fed kale or grass once versus twice daily during winter. J. Dairy Sci. 2018, 101, 257–267. [Google Scholar] [CrossRef] [PubMed]
- Zehner, N.; Niederhauser, J.J.; Nydegger, F.; Grothmann, A.; Keller, M.; Hoch, M.; Haeussermann, A.; Schick, M. Validation of a New Health Monitoring System (RumiWatch) for Combined Automatic Measurement of Rumination, Feed Intake, Water Intake and Locomotion in Dairy Cows. Infomation Technology, Automation and Precision Farming. In Proceedings of the International Conference of Agricultural Engineering—CIGR-AgEng 2012: Agriculture and Engineering for a Healthier Life, Valencia, Spain, 8–12 July 2012; Volume 5. Available online: https://www.rumiwatch.com/files/Zehner-et-al-2012_Validation-of-RumiWatch_CIGR-AGENG-2012.pdf (accessed on 21 November 2020).
- Holstein Foundation. Milking and Lactation. Available online: http://www.holsteinfoundation.org/pdf_doc/workbooks/Milking_Lactation_Workbook.pdf (accessed on 9 November 2020).
- Gregorini, P.; Beukes, P.C.; Romera, A.J.; Levy, G.; Hanigan, M.D. A model of diurnal grazing patterns and herbage intake of a dairy cow, MINDY: Model description. Ecol. Model. 2013, 270, 11–29. [Google Scholar] [CrossRef]
- Dias, K.; Garcia, S.; Islam, M.R.; Clark, C. Milk Yield, Milk Composition, and the Nutritive Value of Feed Accessed Varies with Milking Order for Pasture-Based Dairy Cattle. Animals 2019, 9, 60. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Cullen, B.R.; Bullen, D.; Hutcheson, C.; Jacobs, J.L.; Deighton, M.H. Changes in nutritive characteristics associated with plant height, and nutrient selection by dairy cows grazing four perennial pasture grasses. Anim. Prod. Sci. 2017, 57, 1392–1397. [Google Scholar] [CrossRef]
Behaviour | n (10-min Interval) | RWS (10-min Interval) | VO (10-min Interval) | Bias 1 | r | CCC | Cb2 | Lower (95% CI) | Upper (95% CI) | p3 |
---|---|---|---|---|---|---|---|---|---|---|
Prehension bites | 54 | 433 | 425 | 8 | 0.98 | 0.98 | 1.00 | 0.96 | 0.99 | <0.001 |
Eating chews | 57 | 638 | 603 | 35 | 0.96 | 0.95 | 0.99 | 0.92 | 0.97 | <0.001 |
Mastication chews | 57 | 220 | 193 | 27 | 0.81 | 0.77 | 0.96 | 0.65 | 0.86 | <0.001 |
Rumination chews | 28 | 475 | 494 | −19 | 0.97 | 0.96 | 1.00 | 0.93 | 0.98 | <0.001 |
Behaviour | RWS (chews/day) | DMP (kg/day) | R2 | r | SE 1 | p2 |
---|---|---|---|---|---|---|
Prehension bites | 22407.4 | 31.6 | 0.07 | 0.27 | 10.31 | 0.258 |
Eating chews | 37655.2 | 31.6 | 0.31 | 0.56 | 8.88 | 0.011 |
Mastication chews | 15247.8 | 31.6 | 0.34 | 0.58 | 8.70 | 0.007 |
Rumination chews | 29837.4 | 31.6 | 0.03 | 0.18 | 10.52 | 0.458 |
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Li, Z.; Cheng, L.; Cullen, B. Validation and Use of the RumiWatch Noseband Sensor for Monitoring Grazing Behaviours of Lactating Dairy Cows. Dairy 2021, 2, 104-111. https://doi.org/10.3390/dairy2010010
Li Z, Cheng L, Cullen B. Validation and Use of the RumiWatch Noseband Sensor for Monitoring Grazing Behaviours of Lactating Dairy Cows. Dairy. 2021; 2(1):104-111. https://doi.org/10.3390/dairy2010010
Chicago/Turabian StyleLi, Zelin, Long Cheng, and Brendan Cullen. 2021. "Validation and Use of the RumiWatch Noseband Sensor for Monitoring Grazing Behaviours of Lactating Dairy Cows" Dairy 2, no. 1: 104-111. https://doi.org/10.3390/dairy2010010