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Data processing pipeline for peak alignment and background correction for methane measurements from sniffers installed in automatic milking systems

cris.virtual.author-orcid#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtual.author-orcid0000-0002-2675-0702
cris.virtual.author-orcid0000-0003-2833-5083
cris.virtualsource.author-orcidc1debb29-8126-4e63-96ad-986a40980502
cris.virtualsource.author-orcidb5c3958a-c84a-4870-b0a1-7768ac9fb0ac
cris.virtualsource.author-orcid713c4db4-53f8-4862-ac61-6104db5e840c
dc.abstract.enAccurate measurement of methane concentration from dairy cows is essential for genetic evaluation and effective mitigation strategies. While sniffers installed in automated milking systems (AMS) provide a non-invasive method for capturing enteric methane emissions during milking, attributing these measurements to specific animals remains challenging. Simple timestamp synchronization between AMS and sniffer data is insufficient due to clock drift, cow behavior variability, and background methane interference. In this study, we present a data processing pipeline that enhances the alignment of methane measurements with individual milking events. The proposed pipeline consists of two key components: (1) a peak-detection algorithm that refines the start and end times of methane measurements to improve their attribution to specific milkings, and (2) an estimation of local background methane concentrations using plateau regions within each time series. This two-step approach enhances the accuracy of individual-level methane data and accounts for behavioral variability across cows. By improving the accuracy and reducing variance while maintaining the heritability and repeatability levels of sniffer-derived methane phenotypes, the proposed pipeline provides a practical foundation for large-scale phenotyping and supports the integration of methane traits into genetic evaluation and breeding programs aimed at reducing emissions.
dc.affiliationWydział Medycyny Weterynaryjnej i Nauk o Zwierzętach
dc.affiliation.instituteKatedra Genetyki i Podstaw Hodowli Zwierząt​​
dc.contributor.authorRyczek, Marcin Mateusz
dc.contributor.authorStrabel, Tomasz
dc.contributor.authorPszczoła, Marcin Jerzy
dc.date.access2026-03-23
dc.date.accessioned2026-03-23T07:25:34Z
dc.date.available2026-03-23T07:25:34Z
dc.date.copyright2025-03-11
dc.date.issued2026
dc.description.accesstimeat_publication
dc.description.bibliographyil., bibliogr.
dc.description.financepublication_research
dc.description.financecost11480,05
dc.description.if1,9
dc.description.numberMay 2026
dc.description.points140
dc.description.versionfinal_published
dc.description.volume307
dc.identifier.doi10.1016/j.livsci.2026.105949
dc.identifier.eissn1878-0490
dc.identifier.issn1871-1413
dc.identifier.urihttps://sciencerep.up.poznan.pl/handle/item/7850
dc.identifier.weblinkhttps://www.sciencedirect.com/science/article/pii/S1871141326000661
dc.languageen
dc.relation.ispartofLivestock Science
dc.relation.pagesart. 105949
dc.rightsCC-BY
dc.sciencecloudnosend
dc.share.typeOTHER
dc.subject.endairy cows
dc.subject.ensniffer
dc.subject.enenteric methane measurement
dc.subject.enbackground correction
dc.subject.enautomated milking systems
dc.subject.ensensor-based phenotyping
dc.titleData processing pipeline for peak alignment and background correction for methane measurements from sniffers installed in automatic milking systems
dc.typeJournalArticle
dspace.entity.typePublication
oaire.citation.volume307