Pub Date : 2022-04-09DOI: 10.24072/pci.animsci.100011
H. Acloque
This article describes the impact of housing conditions (good vs poor) on the proportion of porcine adult stem cell populations both in adipose tissue and skeletal muscle, in two lines selected for their residual feed intake (HRFI vs LRFI). Stem cell populations are deeply analyzed by a combination of 5 different cell markers (CD45, CD34, CD38, CD56 and CD140a) and the results presented here highlight some differences in stem cell populations after the sanitary challenge, with differences observed between adipose tissue and skeletal muscle of both RFI lines
本文描述了饲养条件(好与差)对猪成体干细胞在脂肪组织和骨骼肌中比例的影响，选择了两条线作为剩余采食量(HRFI vs LRFI)。通过结合5种不同的细胞标记(CD45、CD34、CD38、CD56和CD140a)对干细胞群体进行了深入分析，这里提出的结果突出了卫生挑战后干细胞群体的一些差异，在两种RFI品系的脂肪组织和骨骼肌之间观察到差异
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Pub Date : 2022-02-07DOI: 10.24072/pci.animsci.100010
A. Madouasse
{"title":"Resilience: reference measures based on longer-term consequences are needed to unlock the potential of precision livestock farming technologies for quantifying this trait","authors":"A. Madouasse","doi":"10.24072/pci.animsci.100010","DOIUrl":"https://doi.org/10.24072/pci.animsci.100010","url":null,"abstract":"","PeriodicalId":117264,"journal":{"name":"Peer Community In Animal Science","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114567263","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-28DOI: 10.24072/pci.animsci.100009
A. Faciola
{"title":"Ruminal microbial degradation of tannin-rich tropical plants and methane production","authors":"A. Faciola","doi":"10.24072/pci.animsci.100009","DOIUrl":"https://doi.org/10.24072/pci.animsci.100009","url":null,"abstract":"","PeriodicalId":117264,"journal":{"name":"Peer Community In Animal Science","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115498145","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-20DOI: 10.24072/pci.animsci.100008
M. Gagaoua
{"title":"An innovative modelling approach to enhance the quality of the quantification of pig resilience during the entire fattening period: Towards an individual pig resilience index","authors":"M. Gagaoua","doi":"10.24072/pci.animsci.100008","DOIUrl":"https://doi.org/10.24072/pci.animsci.100008","url":null,"abstract":"","PeriodicalId":117264,"journal":{"name":"Peer Community In Animal Science","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132670687","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-09-08DOI: 10.24072/pci.animsci.100007
R. Kao
{"title":"Modelling freedom from disease - how do we compare between countries?","authors":"R. Kao","doi":"10.24072/pci.animsci.100007","DOIUrl":"https://doi.org/10.24072/pci.animsci.100007","url":null,"abstract":"","PeriodicalId":117264,"journal":{"name":"Peer Community In Animal Science","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114276591","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-12-14DOI: 10.24072/pci.animsci.100005
F. Gondret
Assessing body or carcass composition in growing pigs is essential to refine nutritional models, select for specific traits and evaluate pork products. The gold standard methods are dissection and chemical measurements, which are time-consuming and invasive ways to obtain the data. Different teams have tested dual-energy x-ray absorptiometry (DEXA), especially for determining total and regional body composition of fat, soft lean tissues and bone minerals [1-3]. The DEXA measurements are quick, noninvasive, precise, and operator independent. However, the Open Access
{"title":"Accurate predictions of chemical composition of pigs for a wide range of body weights: no longer a myth!","authors":"F. Gondret","doi":"10.24072/pci.animsci.100005","DOIUrl":"https://doi.org/10.24072/pci.animsci.100005","url":null,"abstract":"Assessing body or carcass composition in growing pigs is essential to refine nutritional models, select for specific traits and evaluate pork products. The gold standard methods are dissection and chemical measurements, which are time-consuming and invasive ways to obtain the data. Different teams have tested dual-energy x-ray absorptiometry (DEXA), especially for determining total and regional body composition of fat, soft lean tissues and bone minerals [1-3]. The DEXA measurements are quick, noninvasive, precise, and operator independent. However, the Open Access","PeriodicalId":117264,"journal":{"name":"Peer Community In Animal Science","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130204090","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-08-07DOI: 10.24072/pci.animsci.100001
L. Tedeschi
A recommendation – based on reviews by Alberto Atzori, Jennifer Spencer and one anonymous reviewer – of the article: Ben Abdelkrim, A., Puillet, L., Gomes, P., and Martin O. (2019). Lactation curve model with explicit representation of perturbations as a phenotyping tool for dairy livestock precision farming. bioRxiv, 661249 ver. 4 peer-reviewed and recommended by PCI Animal Science. doi: 10.1101/661249
{"title":"Developing smart fitting algorithms to identify random perturbations in time-series data","authors":"L. Tedeschi","doi":"10.24072/pci.animsci.100001","DOIUrl":"https://doi.org/10.24072/pci.animsci.100001","url":null,"abstract":"A recommendation – based on reviews by Alberto Atzori, Jennifer Spencer and one anonymous reviewer – of the article: Ben Abdelkrim, A., Puillet, L., Gomes, P., and Martin O. (2019). Lactation curve model with explicit representation of perturbations as a phenotyping tool for dairy livestock precision farming. bioRxiv, 661249 ver. 4 peer-reviewed and recommended by PCI Animal Science. doi: 10.1101/661249","PeriodicalId":117264,"journal":{"name":"Peer Community In Animal Science","volume":"95 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114299464","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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