Animal - Open Space最新文献

{"title":"Farm animal welfare: A survey of the opinion of farmers and consumers in Sardinia","authors":"G. Pulina ,&nbsp;S. Carta ,&nbsp;D. Pulino ,&nbsp;S. Spanu ,&nbsp;R. Deriu ,&nbsp;A. Mazzette","doi":"10.1016/j.anopes.2022.100020","DOIUrl":"10.1016/j.anopes.2022.100020","url":null,"abstract":"<div><p>Animal welfare in the European Union is strictly regulated and has the highest standards in the field. It is also present in the CAP in both the first and second pillars. In Sardinia, animal welfare has taken on greater importance since it was introduced via the Rural Development Plan (<strong>RDP</strong>) in 2005. The context in which the animal welfare programme was initiated was that of a rural setting that had never before followed such projects and to which even the word welfare aimed at animals was alien. The welfare plan was geared hygiene in milking and housing, and the fight against foot problems and stress for primiparous ewes during the first week of milking. After 15 years of implementing animal welfare support interventions from public funds, this work aimed to investigate the perception of animal welfare among both beneficiary farmers and citizen-consumers. The data were collected in a linked survey on both farmers and consumers who are involved in the profound social and economic implications for the Island. On the one hand, 98% of breeders consider animal welfare to be important for the health and productivity of their animals, even though 59% also claim to have changed little or nothing in their farm management following the introduction of RDP measures, partially because the animal welfare measures were already being practised. On the other hand, public respondents’ willingness to pay more when it comes to purchase decisions can be considered as interesting evidence of a possible collective understanding which deserves further investigation. The results highlight the fact that animal welfare is undoubtedly a well-known and topical issue which has gained widespread attention and a broad agreement on its relevance and priority. Nonetheless, a shared vision on the meaning of welfare is lacking, even within regional policies that appear to be strongly segmented.</p></div>","PeriodicalId":100083,"journal":{"name":"Animal - Open Space","volume":"1 1","pages":"Article 100020"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772694022000176/pdfft?md5=7a8744782b7227e4eb4784ebbba66bc9&pid=1-s2.0-S2772694022000176-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76612080","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Monitoring dairy heifer growth through control charts","authors":"C. Vissio ,&nbsp;M.F. Torres ,&nbsp;S. Chesniuk ,&nbsp;M.P. Turiello","doi":"10.1016/j.anopes.2022.100028","DOIUrl":"10.1016/j.anopes.2022.100028","url":null,"abstract":"<div><p>The efficiency of replacement programmes in dairy farms depends largely on the heifers’ growth rate. We provide a case study of control chart application to monitor the weight of dairy replacement heifers. A research dairy farm in Córdoba province, Argentina, provided the monthly samples of BW measurements of 2, 9, and 14.5-month-old heifers born between 2017 and 2019. The data were used to build control charts for the mean and for SD, with moving range control limits in order to consider varying sample sizes. In each age group, control charts for the mean showed at least one out-of-control sample, whereas control charts for SD showed one sample out of control for 9-month-old heifers. Each sample outside the control limits implies that a potentially identifiable cause has occurred. Therefore, the producer could identify the event causing the deviation and make the necessary changes according to the heifer’s age. Control charts provide the producer and consultant with graphical information and quick alerts to support the decision-making process of the replacement programme. These tools are useful at the farm level to monitor heifer weights and support management decisions.</p></div>","PeriodicalId":100083,"journal":{"name":"Animal - Open Space","volume":"1 1","pages":"Article 100028"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772694022000255/pdfft?md5=c24a07874a929228edd8e02c3d5ddc45&pid=1-s2.0-S2772694022000255-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76309284","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Predicting the dynamics of enteric methane emissions based on intake kinetic patterns in dairy cows fed diets containing either wheat or corn","authors":"R. Muñoz-Tamayo ,&nbsp;B. Ruiz ,&nbsp;P. Blavy ,&nbsp;S. Giger-Reverdin ,&nbsp;D. Sauvant ,&nbsp;S.R.O. Williams ,&nbsp;P.J. Moate","doi":"10.1016/j.anopes.2021.100003","DOIUrl":"10.1016/j.anopes.2021.100003","url":null,"abstract":"<div><p>The production of methane by the rumen microbiota is a complex biological process. When tackling the modelling of methane production, the modeller decides what complexity is needed to answer the scientific question for which the model is intended. Such a choice results in a diversity of possible models spanning both empirical and mechanistic approaches. Within the framework of precision livestock farming, simple dynamic models offer great advantages for integrating online data (<em>e.g.</em>, feed intake) to predict individual methane emissions from cattle. Accordingly, we previously developed, with satisfactory results, a simple dynamic model that uses DM intake kinetics as a single predictor of methane emissions from finishing beef steers. The objective of the present work was to assess the capability of the previously developed model to predict the dynamic pattern of methane production from dairy cows fed a diet containing either wheat grain or corn grain. We showed that the simple dynamic model in its original form enables a description of the dynamics of individual methane emissions from dairy cows with an average determination coefficient (<em>r</em>²) of 0.65 and an average concordance correlation coefficient of 0.81 and RMSE of 16% and 26% for the corn-based and wheat-based diets, respectively. Additionally, we performed a principal component analysis associating the parameters of the methane model with variables characterising the feeding behaviour of the cows. The results showed the effect of the diet type on the feeding behaviour of the animals. This impact was propagated on the dynamics of methane emissions. Interestingly, our model enabled us to determine that the differences in patterns of methane emissions between the diets result simply from the dependency of the methane yield and rate constant of methane eructation on the grain type.</p></div>","PeriodicalId":100083,"journal":{"name":"Animal - Open Space","volume":"1 1","pages":"Article 100003"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772694021000030/pdfft?md5=225fb19fb823adeba642c1489454c5a9&pid=1-s2.0-S2772694021000030-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73113376","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Processing weights of chickens determined by dual-energy X-ray absorptiometry: 2. Developing prediction models","authors":"D.A. Martinez,&nbsp;N. Suesuttajit,&nbsp;J.T. Weil,&nbsp;P. Maharjan ,&nbsp;A. Beitia ,&nbsp;K. Hilton ,&nbsp;C. Umberson,&nbsp;A. Scott,&nbsp;C.N. Coon","doi":"10.1016/j.anopes.2022.100023","DOIUrl":"10.1016/j.anopes.2022.100023","url":null,"abstract":"<div><p>A considerable opportunity exists in evaluating the dynamics of the carcass and the processing cut-up weights of broilers across the whole grow-out period as influenced by intervention factors. However, no fast and objective tool exists up to date to make such determinations. This study aimed to develop models to predict the unchilled and chilled weights of the carcass and cut-up pieces of broilers using Dual-Energy X-ray Absorptiometry (<strong>DEXA</strong>) and feathered non-fasted birds. Highly diverse (BW and body composition) broilers (n = 291) between 4 and 79 days of age were euthanized, DEXA-scanned, and manually processed to determine the weights of the carcass and cut-up pieces. Correction factors were applied to obtain the fasted BW and the corresponding bled and chilled weights. A database was built up, including all the weights recorded and the DEXA-reported indexes. A stratified random data-splitting with a refitting approach was applied. Multiple least-squares linear regressions were fitted for each unchilled and chilled variable on the training dataset using JMP Pro 16. Natural log and square root transformations were applied to predictor variables as convenient, and outliers were removed. Candidate models were screened for normal distribution and homoscedasticity of residuals and collinearity among predictors. The highest precision (adjusted <em>R²</em>) and the lowest error (RMSE) were selection criteria. Once model overfitting and prediction performance was tested on the validation dataset, the models were refitted with all the data in the original dataset. Prediction models with high (unchilled and chilled carcass and cut-up weights, feet, and head; <em>R</em>² &gt; 0.99) and acceptable (abdominal fat; <em>R</em>² &gt; 0.69) precision were obtained. In conclusion, these results support the use of DEXA to determine the processing weights of broilers. Its application to the study of growth curves of cut-up pieces as influenced by nutrition, genetics, environment, and management opens a new spectrum of opportunities for the industry.</p></div>","PeriodicalId":100083,"journal":{"name":"Animal - Open Space","volume":"1 1","pages":"Article 100023"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772694022000206/pdfft?md5=602a8ff731b40d5372dbb81c2d3002b8&pid=1-s2.0-S2772694022000206-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84544299","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Understanding anomalies in animal behaviour: data on cow activity in relation to health and welfare","authors":"R. Lardy ,&nbsp;M.-M. Mialon ,&nbsp;N. Wagner ,&nbsp;Y. Gaudron ,&nbsp;B. Meunier ,&nbsp;K. Helle Sloth ,&nbsp;D. Ledoux ,&nbsp;M. Silberberg ,&nbsp;A. de Boyer des Roches ,&nbsp;Q. Ruin ,&nbsp;M. Bouchon ,&nbsp;C. Cirié ,&nbsp;V. Antoine ,&nbsp;J. Koko ,&nbsp;I. Veissier","doi":"10.1016/j.anopes.2022.100004","DOIUrl":"10.1016/j.anopes.2022.100004","url":null,"abstract":"<div><p>We collected data on the behaviour of dairy cows in barns, clinical signs of diseases as well as events that may stress or agitate the cows. A Real-Time Locating System gives the position of individual cows every second. The position of the cow is determined by triangulation based on radio waves emitted by a tag fixed on each cow neck collar and captured by antennas in the barn. The cow’s activity is inferred from its position: ‘eating’ if the cow is positioned at the feeding table, ‘resting’ if the cow is in a resting area (typically cubicles), else ‘in alleys’. We aggregated this information to get the time spent in each activity per hour. We also calculated the activity level of the cow for each hour of the day by attributing a weight to the time spent in each activity. For each cow and day, we collected information on health events or other events that may affect behaviour. There were 11 types of events. Six events were linked to health: lameness; mastitis; LPS (i.e. administration of lipopolysaccharide (<strong>LPS</strong>) in the mammary gland, an experimental treatment to induce udder inflammation); subacute ruminal acidosis; other diseases (such as colic, diarrhoea, ketosis, milk fever or other infectious diseases); and accidents (such as retained placenta or vaginal laceration). Two events were linked to reproduction: oestrus and calving. Three events were stress events: animal mixing, disturbance (i.e. mild intervention on animals such as late feeding, alarm test) and marginal management changes (ration changes, fill bed). In addition, a Boolean sums up whether this hour was considered as normal or not. Data contain four datasets. It consists of univariate time series. Each time series corresponds to the hourly activity level of a cow. Datasets 1 and 2 are from the INRAE Herbipôle experimental farm and include data from experiments; datasets 3 and 4 are from commercial farms. They contain data on respectively 28, 28, 30 and 300 cows monitored for 6 months, 2 months, 40 days and one year. The data can be used to study the links between health, reproduction events and stress on the one hand and cow behaviour on the other hand. More specifically, it can be used to build and test tools for an earlier detection of health and disturbances, with a view to inform caretakers so that corrective actions can be rapidly put in place.</p></div>","PeriodicalId":100083,"journal":{"name":"Animal - Open Space","volume":"1 1","pages":"Article 100004"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772694022000012/pdfft?md5=3a3fc88c7f816f480097382948fd7871&pid=1-s2.0-S2772694022000012-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75918104","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Welfare assessment of Krškopolje pigs reared in different production systems","authors":"M. Čandek-Potokar ,&nbsp;N. Batorek-Lukač ,&nbsp;U. Tomažin ,&nbsp;M. Škrlep ,&nbsp;A.N.T.R. Monteiro ,&nbsp;F. Garcia-Launay","doi":"10.1016/j.anopes.2022.100021","DOIUrl":"10.1016/j.anopes.2022.100021","url":null,"abstract":"<div><p>In the present case study, the welfare of local breed (Krškopolje pig) pigs reared indoors, outdoors, and in combined production systems (total of 10 farms) were evaluated. The multidimensional Welfare Quality® assessment protocol, with slight modifications, was used to evaluate the farms. Animal-based observations were used to examine the four main principles of welfare (good feeding, good housing, good health, and appropriate behaviour) and their twelve independent welfare sub-criteria. Scores for each criterion were calculated and each farm was classified into one of the four welfare categories (excellent, enhanced, acceptable, or not classified). Maximal total scores were determined for the “good feeding” principle in the indoor and combined systems, whereas the outdoor system had a lower score (64) because of insufficient water troughs. In the case of “good housing” principle, maximal total scores were attributed to outdoor system, and lower scores for indoor and combined systems (72 and 84, respectively) due to the lesser space allowance, dirtiness and shivering in pigs. The scores for the “principle of good health” were rather low in all husbandry systems (62, 58, 61 for outdoor, indoor and combined systems, respectively), mainly because of the castration method practised without pain relief medication. The integrated score for “appropriate behaviour” was lower in indoor systems, because of lower “exploratory behaviour” scores (64). Considering the overall assessment across all principles, farms having only outdoor or only indoor system were classified as “enhanced” (total score of 77 and 74, respectively), whereas farms with combined system (indoor housing with outdoor access) were classified as “excellent” (total score of 85). The present study showed high welfare quality of housing systems with local breed Krškopolje pigs.</p></div>","PeriodicalId":100083,"journal":{"name":"Animal - Open Space","volume":"1 1","pages":"Article 100021"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772694022000188/pdfft?md5=061b8ae07e133e02c3842543cc06282e&pid=1-s2.0-S2772694022000188-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78034795","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The net portal appearance approach – a tool to monitor the real-time bioavailability of nutrients in pigs","authors":"D.B. Dalto,&nbsp;J.J. Matte","doi":"10.1016/j.anopes.2021.100001","DOIUrl":"10.1016/j.anopes.2021.100001","url":null,"abstract":"<div><p>Among the available approaches to study the bioavailability of nutrients, both the body deposition and the intestinal balance methods have technical and analytical particularities that make them inconsistent to study the bioavailability of trace elements. This study describes an approach that allows assessing the net postintestinal bioavailability of trace elements. This approach is based on the real-time fluxes of nutrients flowing in the portal vein. In contrast with other methods, this technique allows monitoring the real-time postmeal profile of net fluxes of nutrients in order to compare multiple types of meal treatments within the same animal.</p></div>","PeriodicalId":100083,"journal":{"name":"Animal - Open Space","volume":"1 1","pages":"Article 100001"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772694021000017/pdfft?md5=40d74393d8cc7f797c708d888037e395&pid=1-s2.0-S2772694021000017-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90877361","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Dynamic data for determining the accuracy of four open-circuit respiration chambers designed to quantify methane emissions from goats","authors":"O. Dhumez ,&nbsp;J. Tessier ,&nbsp;M. Eugène ,&nbsp;A.I. Martín-García ,&nbsp;A. Eymard ,&nbsp;S. Giger-Reverdin ,&nbsp;C. Duvaux-Ponter ,&nbsp;R. Muñoz-Tamayo","doi":"10.1016/j.anopes.2022.100006","DOIUrl":"10.1016/j.anopes.2022.100006","url":null,"abstract":"<div><p>Respiration chambers are the gold standard technique for measuring methane in ruminants provided that their gas recovery rates are close to 100%. The determination of the gas recovery rate of respiration chamber facilities is a central prerequisite to assess the accuracy of the methane emission quantification. However, data of recovery tests are seldom reported. This paper presents data from gas recovery tests applied to an experimental facility of four open-circuit respiration chambers designed to measure methane emissions from goats. The experimental facility is located at Thiverval-Grignon, France. The recovery test was assessed by placing a known source of methane emission at six locations in each chamber successively. For each chamber, the gas from the chamber and the ambient air were continuously sampled by a Multi-Gas Analyser 3500 gas analyser provided with a multiport unit that switches the sampling between the pipe from chamber and from the ambient air every 90 s. The analyser determines the concentration (ppm) of methane by infrared. The data were further imported in an R script for calculation of the methane recovery percentage. These data are useful resources for illustrating the protocol to assess the accuracy of respiration chambers.</p></div>","PeriodicalId":100083,"journal":{"name":"Animal - Open Space","volume":"1 1","pages":"Article 100006"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772694022000036/pdfft?md5=5728d9fa28a79ce73c6d1660e23e4889&pid=1-s2.0-S2772694022000036-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79377481","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The role of diversity and circularity to enhance the resilience of organic pig producers in Europe","authors":"C. Pfeifer ,&nbsp;S. Moakes ,&nbsp;E. Salomon ,&nbsp;A.G. Kongsted","doi":"10.1016/j.anopes.2022.100009","DOIUrl":"10.1016/j.anopes.2022.100009","url":null,"abstract":"<div><p>This paper investigates how pig housing relates to diversity and circularity of farms and how this influences the capacity of European organic pig producers to cope with economic, legislation, labour and climate-related shocks. It identifies resilience strategies of pig producers in Europe by analysing resilience capacity and attributes to different shocks, namely input and output price shocks, disease outbreaks, climate change, legislation change and labour fluctuations. Based on narratives of 18 pig producers, this paper finds three resilience strategies: an efficiency-based strategy, a nutrient substitution strategy and a farm diversification strategy. Non-resiliency is mostly found among the producers with an all-year outdoor production system following the nutrient substitution strategy related to low feed self-sufficiency. The producers follow an efficiency-based strategy when they cannot accumulate reserves sufficient to cope with shocks. Non-resilience among the farm diversification strategy is related to direct marketing that is labour intensive requires the ability to pay decent wages. To increase the resilience of pig producers in Europe, policies should recognise that these different strategies exist and tailor policies differently for different types of producers.</p></div>","PeriodicalId":100083,"journal":{"name":"Animal - Open Space","volume":"1 1","pages":"Article 100009"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772694022000061/pdfft?md5=a460ec778b2aeb9d9f0b032a21cdea8d&pid=1-s2.0-S2772694022000061-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80700829","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Coupling genetic and mechanistic models to benchmark selection strategies for feed efficiency in dairy cows: sensitivity analysis validating this novel approach","authors":"A. Bouquet ,&nbsp;M. Slagboom ,&nbsp;J.R. Thomasen ,&nbsp;N.C. Friggens ,&nbsp;M. Kargo ,&nbsp;L. Puillet","doi":"10.1016/j.anopes.2022.100017","DOIUrl":"10.1016/j.anopes.2022.100017","url":null,"abstract":"<div><p>Coupling genetic and mechanistic models is appealing to explore the impact of energy trade-offs on the expression of feed efficiency traits in dairy cattle and predict selection response. The objective of this study was to evaluate the sensitivity of genetic (co)variances among milk production and feed efficiency (<strong>FE</strong>) traits simulated with a mechanistic dairy cow model depending on the genetic variability assumed for input parameters. The cow model was calibrated for a grass-based production and included a genetic module. Four genetically driven input parameters described the energy acquisition and allocation to different biological functions of cows. In each simulation, a population of 20 000 cows from 200 unrelated sires was simulated. The nutritional environment was an input of the model and was tailored by modulating feed offer and quality. A non-limiting nutritional environment was simulated to mimic a situation of <em>ad libitum</em> feeding and was used as a reference. Two other scenarios were simulated by imposing a moderate and a high DM intake restriction on simulated cows. Five phenotypes related to milk production and FE were considered: milk production, BW at calving, DM intake, lactation efficiency and body reserves during early lactation. These traits were estimated both in first and third lactations. A baseline scenario was defined considering a heritability of 0.35 and a phenotypic CV of 10% for acquisition and allocation parameters (<strong>AAPs</strong>). Different scenarios were explored by reducing the heritability to 0.15 or increasing CV to 20 and 30% or both. Heritabilities and genetic correlations between simulated traits were estimated using animal linear mixed models. Each scenario was replicated 20 times. Simulated performance and genetic parameters for these traits were compared across scenarios using an ANOVA. The heritability of AAPs only influenced the heritability of simulated traits. The phenotypic CV of AAPs mainly influenced the variability of simulated traits. However, increasing the CV also affected the number of cows reaching first and third lactation, due to the early culling of females with extreme AAPs profiles. Compared to other input parameters, the nutritional environment had the largest effect on both performance and genetic correlations between traits. Using a heritability value of 0.35 and a CV of 10% for all four AAPs enabled the simulation of milk production and FE performance with a realistic mean, variance and genetic correlations among traits in the three considered environments.</p></div>","PeriodicalId":100083,"journal":{"name":"Animal - Open Space","volume":"1 1","pages":"Article 100017"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772694022000140/pdfft?md5=22489e392ecb1614775ecd5f79991e20&pid=1-s2.0-S2772694022000140-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90080836","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}