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Validation strategy can result in an overoptimistic view of the ability of milk infrared spectra to predict methane emission of dairy cattle
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/bfb0062108openalex-snapshot
The multivariate calibration problem in chemistry solved by the PLS method
inferredcites →https://doi.org/10.1016/j.anifeedsci.2016.05.018openalex-snapshot
Review of current in vivo measurement techniques for quantifying enteric methane emission from ruminants
inferredcites →https://doi.org/10.1016/j.biosystemseng.2016.10.016openalex-snapshot
Temporal and spatial variation of methane concentrations around lying cubicles in dairy barns
inferredcites →https://doi.org/10.1016/j.envsoft.2017.12.001openalex-snapshot
Improving performance of spatio-temporal machine learning models using forward feature selection and target-oriented validation
inferredcites →https://doi.org/10.1016/j.foodres.2013.12.024openalex-snapshot
Verification of fresh grass feeding, pasture grazing and organic farming by FTIR spectroscopy analysis of bovine milk
inferredcites →https://doi.org/10.1016/j.measurement.2015.02.029openalex-snapshot
Determination of the absolute accuracy of UK chamber facilities used in measuring methane emissions from livestock
inferredcites →https://doi.org/10.1016/j.spasta.2015.04.001openalex-snapshot
Spatio-temporal interpolation of soil water, temperature, and electrical conductivity in 3D + T: The Cook Agronomy Farm data set
inferredcites →https://doi.org/10.1017/s175173110999070xopenalex-snapshot
Developing breeding schemes to assist mitigation of greenhouse gas emissions
inferredcites →https://doi.org/10.1017/s1751731112000456openalex-snapshot
Potential use of milk mid-infrared spectra to predict individual methane emission of dairy cows
inferredcites →https://doi.org/10.1093/biomet/81.2.351openalex-snapshot
A Cross-Validatory Method for Dependent Data
inferredcites →https://doi.org/10.1111/ecog.02881openalex-snapshot
Cross‐validation strategies for data with temporal, spatial, hierarchical, or phylogenetic structure
inferredcites →https://doi.org/10.1200/jco.2016.68.1031openalex-snapshot
Cautionary Note on Using Cross-Validation for Molecular Classification
inferredcites →https://doi.org/10.3168/jds.2009-2456openalex-snapshot
Predicting bovine milk fat composition using infrared spectroscopy based on milk samples collected in winter and summer
inferredcites →https://doi.org/10.3168/jds.2010-3965openalex-snapshot
The use of mid-infrared spectrometry to predict body energy status of Holstein cows
inferredcites →https://doi.org/10.3168/jds.2011-4401openalex-snapshot
Effectiveness of mid-infrared spectroscopy for the prediction of detailed protein composition and contents of protein genetic variants of individual milk of Simmental cows
inferredcites →https://doi.org/10.3168/jds.2011-4520openalex-snapshot
Predicting bovine milk protein composition based on Fourier transform infrared spectra
inferredcites →https://doi.org/10.3168/jds.2013-6799openalex-snapshot
Invited review: Mid-infrared spectroscopy as phenotyping tool for milk traits
inferredcites →https://doi.org/10.3168/jds.2014-8436openalex-snapshot
Hot topic: Innovative lactation-stage-dependent prediction of methane emissions from milk mid-infrared spectra
inferredcites →https://doi.org/10.3168/jds.2014-8764openalex-snapshot
Standardization of milk mid-infrared spectra from a European dairy network
inferredcites →https://doi.org/10.3168/jds.2015-10488openalex-snapshot
Genetic and environmental variation in bovine milk infrared spectra
inferredcites →https://doi.org/10.3168/jds.2016-12030openalex-snapshot
Invited review: Large-scale indirect measurements for enteric methane emissions in dairy cattle: A review of proxies and their potential for use in management and breeding decisions
inferredcites →https://doi.org/10.3168/jds.2017-13014openalex-snapshot
Predicting methane emissions of lactating Danish Holstein cows using Fourier transform mid-infrared spectroscopy of milk
inferredcites →https://doi.org/10.3168/jds.2017-13052openalex-snapshot
Predicting enteric methane emission of dairy cows with milk Fourier-transform infrared spectra and gas chromatography–based milk fatty acid profiles
inferredcites →https://doi.org/10.3168/jds.2017-13441openalex-snapshot
Genetic background of methane emission by Dutch Holstein Friesian cows measured with infrared sensors in automatic milking systems
inferredcites →https://doi.org/10.3168/jds.2018-14472openalex-snapshot
Short communication: Development of an equation for estimating methane emissions of dairy cows from milk Fourier transform mid-infrared spectra by using reference data obtained exclusively from respiration chambers
inferredcites →https://doi.org/10.3168/jds.s0022-0302(06)72409-2openalex-snapshot
Estimating Fatty Acid Content in Cow Milk Using Mid-Infrared Spectrometry
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4646865openalex-extracted
Effect of Homogenisation on the Near-Infrared (Nir) Spectrum and Prediction Performance of Raw Milk
inferred← citeshttps://doi.org/10.1007/978-3-031-96852-5_3openalex-snapshot
Measuring the Error: Validation of Learning Models
inferred← citeshttps://doi.org/10.1016/j.atech.2023.100286openalex-snapshot
Is it possible to predict the methane emission intensity of Swedish dairy cows from milk spectra?
inferred← citeshttps://doi.org/10.1016/j.atech.2025.101483openalex-snapshot
Impact of cross-validation designs on cattle behavior prediction using machine learning and deep learning models with tri-axial accelerometer data
inferred← citeshttps://doi.org/10.1016/j.compag.2024.109040openalex-snapshot
Video-based automatic lameness detection of dairy cows using pose estimation and multiple locomotion traits
inferred← citeshttps://doi.org/10.1016/j.foodchem.2022.134403openalex-snapshot
Prediction accuracies of cheese-making traits using Fourier-transform infrared spectra in goat milk
inferred← citeshttps://doi.org/10.1016/j.foodcont.2024.110983openalex-snapshot
Rapid detection and spectroscopic feature analysis of mineral content in camel milk using fourier-transform mid-infrared spectroscopy and traditional machine learning algorithms
inferred← citeshttps://doi.org/10.1016/j.idairyj.2026.106656openalex-snapshot
Predicting riboflavin (vitamin B2) and cobalamin (vitamin B12) concentrations in Danish cow milk using Fourier transform mid infrared spectra
inferred← citeshttps://doi.org/10.1016/j.meatsci.2021.108518openalex-snapshot
Performance of different portable and hand-held near-infrared spectrometers for predicting beef composition and quality characteristics in the abattoir without meat sampling
inferred← citeshttps://doi.org/10.1016/j.ymeth.2020.07.012openalex-snapshot
Large-scale phenotyping in dairy sector using milk MIR spectra: Key factors affecting the quality of predictions
inferred← citeshttps://doi.org/10.1017/s1751731120001561openalex-snapshot
Review: Genetic and genomic selection as a methane mitigation strategy in dairy cattle
inferred← citeshttps://doi.org/10.1038/s41598-022-11799-0openalex-snapshot
In-line near-infrared analysis of milk coupled with machine learning methods for the daily prediction of blood metabolic profile in dairy cattle
inferred← citeshttps://doi.org/10.1071/an23021openalex-snapshot
Defining breeding objectives for sustainability in cattle: challenges and opportunities
inferred← citeshttps://doi.org/10.1080/1828051x.2022.2158953openalex-snapshot
Interactions among breed, farm intensiveness and cow productivity on predicted enteric methane emissions at the population level
inferred← citeshttps://doi.org/10.1093/jas/skab206openalex-snapshot
Disentangling data dependency using cross-validation strategies to evaluate prediction quality of cattle grazing activities using machine learning algorithms and wearable sensor data
inferred← citeshttps://doi.org/10.1093/jas/skab294openalex-snapshot
Integrating diverse data sources to predict disease risk in dairy cattle—a machine learning approach
inferred← citeshttps://doi.org/10.1093/jas/skae219openalex-snapshot
Approaches for predicting dairy cattle methane emissions: from traditional methods to machine learning
inferred← citeshttps://doi.org/10.1186/s12711-021-00620-7openalex-snapshot
Integrating genomic and infrared spectral data improves the prediction of milk protein composition in dairy cattle
inferred← citeshttps://doi.org/10.1186/s12711-023-00795-1openalex-snapshot
Integrating on-farm and genomic information improves the predictive ability of milk infrared prediction of blood indicators of metabolic disorders in dairy cows
inferred← citeshttps://doi.org/10.1515/revac-2023-0062openalex-snapshot
Enhancing methane sensing with NDIR technology: Current trends and future prospects
inferred← citeshttps://doi.org/10.3168/jds.2019-16784openalex-snapshot
Combined use of milk infrared spectra and genotypes can improve prediction of milk fat composition
inferred← citeshttps://doi.org/10.3168/jds.2019-16937openalex-snapshot
Prediction of blood metabolites from milk mid-infrared spectra in early-lactation cows
inferred← citeshttps://doi.org/10.3168/jds.2019-17284openalex-snapshot
Short communication: Prediction of hyperketonemia in dairy cows in early lactation using on-farm cow data and net energy intake by partial least square discriminant analysis
inferred← citeshttps://doi.org/10.3168/jds.2019-17379openalex-snapshot
Symposium review: Big data, big predictions: Utilizing milk Fourier-transform infrared and genomics to improve hyperketonemia management
inferred← citeshttps://doi.org/10.3168/jds.2019-17473openalex-snapshot
Diagnosing the pregnancy status of dairy cows: How useful is milk mid-infrared spectroscopy?
inferred← citeshttps://doi.org/10.3168/jds.2019-17732openalex-snapshot
Symposium review: Genomic selection for reducing environmental impact and adapting to climate change
inferred← citeshttps://doi.org/10.3168/jds.2019-17916openalex-snapshot
Heritability estimates of predicted blood β-hydroxybutyrate and nonesterified fatty acids and relationships with milk traits in early-lactation Holstein cows
inferred← citeshttps://doi.org/10.3168/jds.2020-18870openalex-snapshot
A comparison of 4 different machine learning algorithms to predict lactoferrin content in bovine milk from mid-infrared spectra
inferred← citeshttps://doi.org/10.3168/jds.2020-19486openalex-snapshot
Short communication: Iodine content in bovine milk is lowly heritable and shows limited genetic variation
inferred← citeshttps://doi.org/10.3168/jds.2020-19491openalex-snapshot
Breed of goat affects the prediction accuracy of milk coagulation properties using Fourier-transform infrared spectroscopy
inferred← citeshttps://doi.org/10.3168/jds.2020-19587openalex-snapshot
Goat farm variability affects milk Fourier-transform infrared spectra used for predicting coagulation properties
inferred← citeshttps://doi.org/10.3168/jds.2020-19603openalex-snapshot
Validation of milk mid-infrared spectroscopy for predicting the metabolic status of lactating dairy cows in Australia
inferred← citeshttps://doi.org/10.3168/jds.2020-19861openalex-snapshot
Evaluating the performance of machine learning methods and variable selection methods for predicting difficult-to-measure traits in Holstein dairy cattle using milk infrared spectral data
inferred← citeshttps://doi.org/10.3168/jds.2021-20158openalex-snapshot
Integrating heterogeneous across-country data for proxy-based random forest prediction of enteric methane in dairy cattle
inferred← citeshttps://doi.org/10.3168/jds.2021-20395openalex-snapshot
Genetic parameters of differential somatic cell count, milk composition, and cheese-making traits measured and predicted using spectral data in Holstein cows
inferred← citeshttps://doi.org/10.3168/jds.2021-21079openalex-snapshot
The use of milk Fourier-transform mid-infrared spectroscopy to diagnose pregnancy and determine spectral regional associations with pregnancy in US dairy cows
inferred← citeshttps://doi.org/10.3168/jds.2021-21176openalex-snapshot
Predicting methane emission in Canadian Holstein dairy cattle using milk mid-infrared reflectance spectroscopy and other commonly available predictors via artificial neural networks
inferred← citeshttps://doi.org/10.3168/jds.2021-21297openalex-snapshot
Predicting dry matter intake in Canadian Holstein dairy cattle using milk mid-infrared reflectance spectroscopy and other commonly available predictors via artificial neural networks
inferred← citeshttps://doi.org/10.3168/jds.2021-21426openalex-snapshot
Real-time milk analysis integrated with stacking ensemble learning as a tool for the daily prediction of cheese-making traits in Holstein cattle
inferred← citeshttps://doi.org/10.3168/jds.2021-21516openalex-snapshot
Pregnancy status predicted using milk mid-infrared spectra from dairy cattle
inferred← citeshttps://doi.org/10.3168/jds.2021-21579openalex-snapshot
Correlations of feed intake predicted with milk infrared spectra and breeding values in the Dutch Holstein population
inferred← citeshttps://doi.org/10.3168/jds.2022-22089openalex-snapshot
Comparison of the genetic characteristics of directly measured and Fourier-transform mid-infrared-predicted bovine milk fatty acids and proteins
inferred← citeshttps://doi.org/10.3168/jds.2022-22394openalex-snapshot
Estimation of body condition score change in dairy cows in a seasonal calving pasture-based system using routinely available milk mid-infrared spectra and machine learning techniques
inferred← citeshttps://doi.org/10.3168/jds.2022-22454openalex-snapshot
Prediction of detailed blood metabolic profile using milk infrared spectra and machine learning methods in dairy cattle
inferred← citeshttps://doi.org/10.3168/jds.2023-23349openalex-snapshot
Cheese yield and nutrients recovery in the curd predicted by Fourier-transform spectra from individual sheep milk samples
inferred← citeshttps://doi.org/10.3168/jds.2023-23551openalex-snapshot
Lactation modeling and the effects of rotational crossbreeding on milk production traits and milk-spectra-predicted enteric methane emissions
inferred← citeshttps://doi.org/10.3168/jds.2023-23577openalex-snapshot
Predicting methane emissions of individual grazing dairy cows from spectral analyses of their milk samples
inferred← citeshttps://doi.org/10.3168/jds.2023-24472openalex-snapshot
Standardization method, testing scenario, and accuracy of the infrared prediction model affect the standardization accuracy of milk mid-infrared spectra
inferred← citeshttps://doi.org/10.3168/jds.2023-24621openalex-snapshot
Prediction of likelihood of conception in dairy cows using milk mid-infrared spectra collected before the first insemination and machine learning algorithms
inferred← citeshttps://doi.org/10.3168/jds.2024-24701openalex-snapshot
Assessing different cross-validation schemes for predicting novel traits using sensor data: An application to dry matter intake and residual feed intake using milk spectral data
inferred← citeshttps://doi.org/10.3168/jds.2024-25034openalex-snapshot
Predicting subacute ruminal acidosis from milk mid-infrared estimated fatty acids and machine learning on Canadian commercial dairy herds
inferred← citeshttps://doi.org/10.3168/jds.2024-25461openalex-snapshot
Associations between milk infrared-predicted plasma biomarkers of stress resilience and fertility in dairy cattle: Insights for enhancing breeding programs and herd management
inferred← citeshttps://doi.org/10.3168/jds.2024-25970openalex-snapshot
Predicting reticuloruminal pH and subacute ruminal acidosis of individual cows using machine learning and Fourier-transform infrared spectroscopy milk analysis
inferred← citeshttps://doi.org/10.3168/jds.2025-26495openalex-snapshot
Use of early-lactation milk Fourier-transform mid-infrared spectroscopy and farm data to predict the calving-to-conception interval in Chinese dairy cows
inferred← citeshttps://doi.org/10.3168/jds.2025-27207openalex-snapshot
Impact of farming systems and welfare indicators on enteric methane emissions calculated from infrared-predicted milk fatty acids in Parmigiano Reggiano Consortium farms
inferred← citeshttps://doi.org/10.3168/jds.2025-27603openalex-snapshot
Performance of grazing dairy cows genetically divergent in genetic merit for feed intake
inferred← citeshttps://doi.org/10.3168/jds.2026-28447openalex-snapshot
Invited review: Global census on the development and implementation of direct genetic selection for enteric methane emissions in dairy cattle
inferred← citeshttps://doi.org/10.3168/jdsc.2025-0974openalex-snapshot
Evaluation of mid-infrared milk spectroscopy as a tool for genetic improvement of nitrogen utilization in dairy cow
inferred← citeshttps://doi.org/10.3168/jdsc.2026-1122openalex-snapshot
Toward routine health phenotyping: High-throughput prediction of metabolic, immune, and inflammatory biomarkers from milk mid-infrared spectroscopy in early-lactation dairy cows
inferred← citeshttps://doi.org/10.3389/fgene.2020.00923openalex-snapshot
Infrared Spectrometry as a High-Throughput Phenotyping Technology to Predict Complex Traits in Livestock Systems
inferred← citeshttps://doi.org/10.3389/fnut.2024.1327301openalex-snapshot
Exploring the use of NIR and Raman spectroscopy for the prediction of quality traits in PDO cheeses
inferred← citeshttps://doi.org/10.3390/agriculture12071006openalex-snapshot
Identifying the Determinants of Regional Raw Milk Prices in Russia Using Machine Learning
inferred← citeshttps://doi.org/10.3390/ani10122372openalex-snapshot
Genetic and Non-Genetic Variation of Milk Total Antioxidant Activity Predicted from Mid-Infrared Spectra in Holstein Cows
inferred← citeshttps://doi.org/10.3390/ani11071993openalex-snapshot
Comparison of Single-Breed and Multi-Breed Training Populations for Infrared Predictions of Novel Phenotypes in Holstein Cows
inferred← citeshttps://doi.org/10.3390/ani12192556openalex-snapshot
Prediction of Liver Triglyceride Content in Early Lactation Multiparous Holstein Cows Using Blood Metabolite, Mineral, and Protein Biomarker Concentrations
inferred← citeshttps://doi.org/10.3390/ani13071180openalex-snapshot
The Combined Use of Automated Milking System and Sensor Data to Improve Detection of Mild Lameness in Dairy Cattle
inferred← citeshttps://doi.org/10.3390/ani14060829openalex-snapshot
Relationship between Dairy Cow Health and Intensity of Greenhouse Gas Emissions
inferred← citeshttps://doi.org/10.3390/ani14192901openalex-snapshot
The Genetic Characteristics of FT-MIRS-Predicted Milk Fatty Acids in Chinese Holstein Cows
inferred← citeshttps://doi.org/10.3390/foods12040807openalex-snapshot
Phenotypic Analysis of Fourier-Transform Infrared Milk Spectra in Dairy Goats
inferred← citeshttps://doi.org/10.3390/foods12061199openalex-snapshot
Establishment and Validation of Fourier Transform Infrared Spectroscopy (FT–MIR) Methodology for the Detection of Linoleic Acid in Buffalo Milk
inferred← citeshttps://doi.org/10.3390/foods9101389openalex-snapshot
Predicting the Content of 20 Minerals in Beef by Different Portable Near-Infrared (NIR) Spectrometers
inferred← citeshttps://doi.org/10.5937/savteh1902092dopenalex-snapshot
Novel applications of infrared technologies in dairy industry
inferred← citeshttps://doi.org/10.6084/m9.figshare.22617389openalex-snapshot
Additional file 1 of Integrating on-farm and genomic information improves the predictive ability of milk infrared prediction of blood indicators of metabolic disorders in dairy cows
inferred← citeshttps://doi.org/10.6084/m9.figshare.22617392openalex-snapshot
Additional file 2 of Integrating on-farm and genomic information improves the predictive ability of milk infrared prediction of blood indicators of metabolic disorders in dairy cows
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