Clément Grelet
YOU?
Author Swipe
Going deeper in lipolysis: Prediction of individual free fatty acid contents in milk by mid-infrared spectroscopy Open
The dairy sector deals with a recurring issue: a taste alteration due to degradation of fat, commonly called lipolysis. Lipolysis occurs after milking, through the physical shocks induced by freezing, pumping, transfer, and storage of the …
Comparing the genetic architecture of energy balance predicted by mid-infrared spectrometry, a novel energy deficiency score, and several biomarkers Open
Negative energy balance (NEB) during early lactation is a critical physiological challenge in high-producing dairy cows, affecting both their health and production performance. The objectives of this study were: (1) to compare the genetic …
Using single-step genome-wide association analyses to compare predicted negative energy balance and a novel energy deficiency score in early-lactation Holstein cows Open
This study aimed to compare the genetic architectures of logit-transformed predicted negative energy balance (LPNEB) and a novel logit-transformed energy deficiency score (LEDS) as 2 mid-infrared-derived proxies of negative energy balance …
Can we get information on dairy cow chronic stress biomarkers from milk mid-infrared spectra? Open
In recent years, animal welfare considerations have increased for citizens and public authorities. Within the several dimensions of welfare, chronic stress is particularly difficult to measure objectively, while in its chronic form, it may…
Exploring the relationship between predicted negative energy balance and its biomarkers of Holstein cows in first-parity early lactation Open
The negative energy balance (NEB) state in dairy cows is a critical factor affecting health, reproduction, and production, particularly during early lactation. Multiple blood and milk biomarkers change when dairy cows are in the NEB state.…
Residual analysis for the identification of potential mid-infrared-derived biomarkers of heat stress in dairy cattle Open
Numerous prediction equations have been developed based on mid-infrared (MIR) spectra, and some could be potentially used as biomarkers of heat stress. However, practical experience shows that confusion can easily occur between the effect …
Assessing traditional and machine learning methods to smooth and impute device-based body condition score throughout the lactation in dairy cows Open
peer reviewed
Weighted single-step genomic best linear unbiased predictor enhances the genomic prediction accuracy for milk citrate predicted by milk mid-infrared spectra of Holstein cows in early lactation Open
Previous studies have shown that milk citrate predicted by milk mid-infrared (MIR) spectra is strongly affected by a few genomic regions. This study aimed to explore the effect of weighted single-step GBLUP on the accuracy of genomic predi…
Genetic parameters for mid‐infrared‐spectroscopy‐predicted mastitis phenotypes and related traits Open
Genetic improvement of udder health in dairy cows is of high relevance as mastitis is one of the most prevalent diseases. Since it is known that the heritability of mastitis is low and direct data on mastitis cases are often not available …
Genetic analysis of milk citrate predicted by milk mid-infrared spectra of Holstein cows in early lactation Open
Milk citrate is regarded as an early biomarker of negative energy balance in dairy cows during early lactation and serves as a suitable candidate phenotype for genomic selection due to its wide availability across a large number of cows th…
Prediction of key milk biomarkers in dairy cows through milk mid-infrared spectra and international collaborations Open
At the individual cow level, suboptimum fertility, mastitis, negative energy balance, and ketosis are major issues in dairy farming. These problems are widespread on dairy farms and have an important economic impact. The objectives of this…
Imputation of missing milk Fourier transform mid-infrared spectra using existing milk spectral databases: A strategy to improve the reliability of breeding values and predictive models Open
The use of milk Fourier transform mid-infrared (FT-MIR) spectrometry to develop management and breeding tools for dairy farmers and industry is growing and supported by the availability of numerous new predicted phenotypes to assess the nu…
Validation of HappyMoo MIR energy balance models on external datasets with feeding restriction Open
International audience
Validating genomic prediction for nitrogen efficiency index and its composition traits of Holstein cows in early lactation Open
Nitrogen (N) use efficiency (NUE) is an economically important trait for dairy cows. Recently, we proposed a new N efficiency index (NEI), that simultaneously considers both NUE and N pollution. This study aimed to validate the genomic pre…
View article: Hepatic Global Transcriptomic Profiles of Holstein Cows According to Parity Reveal Age-Related Changes in Early Lactation
Hepatic Global Transcriptomic Profiles of Holstein Cows According to Parity Reveal Age-Related Changes in Early Lactation Open
Cows can live for over 20 years, but their productive lifespan averages only around 3 years after first calving. Liver dysfunction can reduce lifespan by increasing the risk of metabolic and infectious disease. This study investigated the …
Genome-wide association study and functional annotation analyses for nitrogen efficiency index and its composition traits in dairy cattle Open
The aims of this study were (1) to identify genomic regions associated with a N efficiency index (NEI) and its composition traits and (2) to analyze the functional annotation of identified genomic regions. The NEI included N intake (NINT1)…
Defining a nitrogen efficiency index in Holstein cows and assessing its potential effect on the breeding program of bulls Open
The purposes of this study were (1) to explore the relationship between 3 milk mid-infrared predicted features including nitrogen intake (NINT), milk true protein N (MTPN), and milk urea-N yield (MUNY); (2) to integrate these 3 features in…
Prediction of Acute and Chronic Mastitis in Dairy Cows Based on Somatic Cell Score and Mid-Infrared Spectroscopy of Milk Open
Monitoring for mastitis on dairy farms is of particular importance, as it is one of the most prevalent bovine diseases. A commonly used indicator for mastitis monitoring is somatic cell count. A supplementary tool to predict mastitis risk …
Can unsupervised learning methods applied to milk recording big data provide new insights into dairy cow health? Open
Among the dairy sector's current concerns, the assessment of global animal health status is a complex challenge. Its multidimensionality means that global monitoring tools are rarely considered. Instead, specific disease detection is often…
View article: Associations between Circulating IGF-1 Concentrations, Disease Status and the Leukocyte Transcriptome in Early Lactation Dairy Cows
Associations between Circulating IGF-1 Concentrations, Disease Status and the Leukocyte Transcriptome in Early Lactation Dairy Cows Open
Peripartum dairy cows commonly experience negative energy balance (EB) and immunosuppression together with high incidences of infectious and metabolic disease. This study investigated mechanisms linking EB status with immune defense in ear…
Multiple Breeds and Countries’ Predictions of Mineral Contents in Milk from Milk Mid-Infrared Spectrometry Open
Measuring the mineral composition of milk is of major interest in the dairy sector. This study aims to develop and validate robust multi-breed and multi-country models predicting the major minerals through milk mid-infrared spectrometry us…
Isoquinoline Alkaloids in Sows’ Diet Reduce Body Weight Loss during Lactation and Increase IgG in Colostrum Open
Isoquinoline alkaloids (IQ) exert beneficial antimicrobial and anti-inflammatory effects in livestock. Therefore, we hypothesized that supplementing sows’ diets with IQ during gestation would decrease farrowing stress, affecting the piglet…
Identification of Chronic Stress Biomarkers in Dairy Cows Open
Stress in dairy herds can occur from multiple sources. When stress becomes chronic because of a long duration and inability of animals to adapt, it is likely to affect the emotional state, health, immunity, fertility and milk production of…
Multiple Country Approach to Improve the Test-Day Prediction of Dairy Cows’ Dry Matter Intake Open
We predicted dry matter intake of dairy cows using parity, week of lactation, milk yield, milk mid-infrared (MIR) spectrum, and MIR-based predictions of bodyweight, fat, protein, lactose, and fatty acids content in milk. The dataset compri…
Validation of Dairy Cow Bodyweight Prediction Using Traits Easily Recorded by Dairy Herd Improvement Organizations and Its Potential Improvement Using Feature Selection Algorithms Open
Knowing the body weight (BW) of a cow at a specific moment or measuring its changes through time is of interest for management purposes. The current work aimed to validate the feasibility of predicting BW using the day in milk, parity, mil…
Appropriate Data Quality Checks Improve the Reliability of Values Predicted from Milk Mid-Infrared Spectra Open
The use of abnormal milk mid-infrared (MIR) spectrum strongly affects prediction quality, even if the prediction equations used are accurate. So, this record must be detected after or before the prediction process to avoid erroneous spectr…