Cécile M. Levrault , Jur T. Eekelder , Peter W.G. Groot Koerkamp , Johan P.M. Ploegaert , Nico W.M. Ogink
{"title":"The cubicle hood sampler: Design of a practical system for the measurement of dairy cows’ methane production rates","authors":"Cécile M. Levrault , Jur T. Eekelder , Peter W.G. Groot Koerkamp , Johan P.M. Ploegaert , Nico W.M. Ogink","doi":"10.1016/j.biosystemseng.2025.01.014","DOIUrl":null,"url":null,"abstract":"<div><div>Monitoring methane production from individual cows is crucial for the implementation of greenhouse gas reduction strategies. However, monitoring methane production rates (<strong>MPR</strong>) under practical conditions and with acceptable levels of accuracy, intrusiveness, and throughput remains challenging. In this study, we present a renewed design of the Cubicle Hood Sampler (<strong>CHS</strong>) as a potential solution to this challenge.</div><div>Placed in the cubicles, the CHS collects and analyses the methane content of the air exhaled by cows when lying down. The ability of four CHS units to recover known MPR was assessed in three series of recovery tests using a reference method (artificial reference cow (<strong>ARC)</strong>). For the fluxes tested, there were no significant difference in recovery rates (mean 110.5 ± 8.7%) between CHS units (<em>p</em> = 0.207), production rates (<em>p</em> = 0.080), and repetitions (<em>p</em> = 0.148). Recovery rates appeared not to be significantly different from 100% (<em>p</em> = 0.154), and root mean square error equated 35.0g, which is considered acceptable for MPR levels of 200 and 400g/day. Repeatability equated 0.94, showing the high repeatability and reliability across replicates. These results place the CHS as a promising tool for on-barn methane measurements. However, the radio frequency identification used to link measurements to specific cows did not yield sufficient levels of correct identification. Similarly, the monitoring of head poses was not satisfactory, and the CHS still requires further improvements to be made.</div></div>","PeriodicalId":9173,"journal":{"name":"Biosystems Engineering","volume":"251 ","pages":"Pages 11-19"},"PeriodicalIF":4.4000,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biosystems Engineering","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1537511025000145","RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AGRICULTURAL ENGINEERING","Score":null,"Total":0}
引用次数: 0
Abstract
Monitoring methane production from individual cows is crucial for the implementation of greenhouse gas reduction strategies. However, monitoring methane production rates (MPR) under practical conditions and with acceptable levels of accuracy, intrusiveness, and throughput remains challenging. In this study, we present a renewed design of the Cubicle Hood Sampler (CHS) as a potential solution to this challenge.
Placed in the cubicles, the CHS collects and analyses the methane content of the air exhaled by cows when lying down. The ability of four CHS units to recover known MPR was assessed in three series of recovery tests using a reference method (artificial reference cow (ARC)). For the fluxes tested, there were no significant difference in recovery rates (mean 110.5 ± 8.7%) between CHS units (p = 0.207), production rates (p = 0.080), and repetitions (p = 0.148). Recovery rates appeared not to be significantly different from 100% (p = 0.154), and root mean square error equated 35.0g, which is considered acceptable for MPR levels of 200 and 400g/day. Repeatability equated 0.94, showing the high repeatability and reliability across replicates. These results place the CHS as a promising tool for on-barn methane measurements. However, the radio frequency identification used to link measurements to specific cows did not yield sufficient levels of correct identification. Similarly, the monitoring of head poses was not satisfactory, and the CHS still requires further improvements to be made.
期刊介绍:
Biosystems Engineering publishes research in engineering and the physical sciences that represent advances in understanding or modelling of the performance of biological systems for sustainable developments in land use and the environment, agriculture and amenity, bioproduction processes and the food chain. The subject matter of the journal reflects the wide range and interdisciplinary nature of research in engineering for biological systems.