dataesr/scientific-paragraphs-categorization huggingface dataset:
Results Bartlett's test (P < 0. 01) and KMO value (0. 85) indicated that there is a latent structure of dependency among the variables of our dataset. According to parallel analysis, three mutual orthogonal factors retained a considerable amount of the original variability of the dataset variables (65%). The first factor retained 31% of the original variability of the dataset, and it was positively related to BW, DMI, NDFI, wet weight of all GIT tissues segments, and wet weight of digesta pool size of RR, O, Si, and CR. The second factor retained 24% of the original variability of the dataset, and it was positively related to iNDF:NDF ratio of ingested diet, wet weight tissues of Ab, RR, and O, MRT of solutes in RR, O and CR, and BW, and negatively related to NDF d , and NDFI. Finally, the third factor retained 10% of the original variability of the dataset, and it was positively related to wet weight of Ce digesta pool size, MRT p in RR and Ce, and MRT s in Ce.
Material & methods For the current purpose, a database pooling results of calorimetric studies carried out on lactating ruminants (80 experiments, 227 treatments, trt, 180 on lactating cows, 47 on lactating goats) was developed. Calculations of the flows of C from the various flows of organic matter (diet, faeces, milk) consider that the proportions of C is, as classically assumed, of 0. 45, 0. 52 and 0. 76 in carbohydrates, proteins and lipids respectively. The measured energy losses as CH 4 (75 g C/Mcal) and urine (105 g C/Mcal) were translated in terms of matter and then flows of C. Data on heat production (HP) were used to evaluate expired CO 2  (111 mgC/Mcal HP; Pedersen et al. , 2008).
Conclusion In the present study grazing animals with concentrate supplementation synthesized less mCP at comparable microbial efficiency to the CG. Introduction Level of dry matter intake (DMI%Body Weight), mean residence time of particles in the rumen (MRT, d) and, more rarely, mastication time  (Mast, h)  are key parameters of the recent feed unit systems. Sauvant et al. (2014)  observed a negative curvilinear relationship between DMI%BW and MRT (DMI%BW = 1. 25 + 3. 79 exp(-0. 83 MRT), n=122, nexp=53, RMSE=0. 19), the purpose of this study is to look more precisely the simultaneous relationships between Mast and both MRT and DMI%BW. Material & methods A selected subset of the database "Bovidig" concerned only 50 experiments with simultaneous measurements of DMI%BW, MRT and Mast. MRT is the result of the ratio Rumen DM load/fecal outflow of DM.
Conclusion Foraging strategy was oriented to increased energy intake in HI HA cows or improved energy efficiency in CR cows, which could explain improved BCS during gestation. 2000). Marker excretion patterns of many herbivores correspond to expectations from reactor models that imply complete mixing of contents (digesta), exemplified by relatively smooth excretion curves in ruminants (Figure  1a ). Spiky excretion curves (with 'secondary peaks') are often interpreted as indication for coprophagy  (Clauss et al. , 2007). However, in several experiments with primates, we observed spiky curves (e. g. , Figure  1b ) without concomitant observations of coprophagy. To test how frequent this finding is, we performed new experiments with colobines, and surveyed existing literature and datasets. a b   et al.
Lastly and not least, the nutritional composition may affect the wild animal species responses based on their requirements. Material & methods A feed item list, fed to captive animals, was provided by the store and nutrition service of the NZG of South Africa. The diet evaluation by survey and review technique  (Fidgett & Plowman, 2009 ) was adopted and modified to answer to the objectives of the study, which was coupled to laboratory analyses for proximate analysis according to  Bernard and Dempsey (1999)  guidelines. Zootrition ™ (Version 2. 6) is a software package and database designed as a tool for zoological, aquarium and training institutions to assist in the analyses and preparation of diets for captive wild animals (Wildlife Conservation  Society, 1999). Animal species, to be evaluated, were chosen based on their morpho-physiological type of feeder and their conservation status.
, 2012). The sensitivity of proteomics technology made possible the identification of thousands of proteins in milk during the last 10 years. We hypothesized that computation of available proteomic data may enable the identification of milk protein biomarkers of traits such as energy balance and body reserve mobilization during early lactation, which are major drivers of dairy performance, robustness and functional longevity of dairy cows  (Zachut and Moallem, 2017). Material & methods Based on a computational approach, we aggregated datasets from 18 publications on milk proteomics from healthy cows whatever the husbandry factors studied. The lists of protein identifiers were extracted from articles and/or the supplementary data files, converted into gene names and aggregated in an atlas. This atlas was divided in 5 periods of the lactation cycle: colostrum (0-5 days in milk (DIM)), early lactation (5-21 DIM), lactation peak (21-60 DIM), mid-lactation (60-80 DIM) and late lactation (> 80 DIM).
Acknowledgements Materials & methods 10 in situ forage tree species were evaluated in the forage species collection of Corpoica Espinal, Tolima. No water or fertilizers were supplied to simulate real conditions of the farmers. A randomized complete block design (RCBD) was used, with three cut-off periods at 30, 45 and 60 days. Each treatment had 270 individuals per species, distributed in three rows of 90 m. Biomass production and bromatological quality were determined by the AOAC 984. 13.
Acknowledgements We thank  Europe ,  Regional council of Brittany  who funded the project 4AGEPROD, carried out by the association " Pole Agronomique de l'Ouest ". We also thank other partners involved in this study:  Chambre d'agriculture des Pays de la Loire, Chambre d'agriculture de Bretagne ,  Arvalis-Institut du Végétal, Institut de l'élevage-Idele.
Acknowledgements Project  2012 AS180031  ( Ministry of Agriculture and Rural Development of Antioquia, National University of Colombia  and the  University of Antioquia)  and  CODI project University of Antioquia  910-2014. Acknowledgements This research was conducted as part of the  Global Network  project funded by the  Academy of Finland  (No. 281337 ) through  FACCE-JPI initiative. Acknowledgements This work was supported by the  Natural Science Foundation of China (NSFC)  ( 31372339 ).
References Cole NA and  Hutcheson   DP 1985. Journal of Animal Science 61,  692-701. DePeters EJ and George LW 2014. Immunology Letters 162,  69-76. Fluharty FL ,  Loerch SC , and  Dehority BA 1996. Journal of  Animal Science  74,  465-474. Owens FN ,  Secrist DS ,  Hill  WJ and  Gill DR 1998. Journal of Animal Science 76,  275-286. Acknowledgements The authors thank the funding support provided by  ALMA  ( 2011F129R ) and  NSERC   discovery grant. Acknowledgements Financial support has been provided within the frame of the  FACCE JPI  Multi-partner Call  on Agricultural Greenhouse Gas Research (RumenStability ). Sieglinde Debruyne  received a personal PhD grant from the government agency  Flanders Innovation & Entrepreneurship (VLAIO). The trial was co-financed by  Group Aveve/ Dumoulin  and  Agolin SA  and further supported by a  STSM Grant  from the  COST Action   FA1302  (www.
Acknowledgements The study was funded by the  Fund for Scientific Research-Flanders (Belgium)  and the  Special Research Fund of the Ghent University. Acknowledgements This research was funded by the  Canadian Canola Council  and the  Agri-Science Cluster initiative of Agriculture and Agri-Food Canada. Acknowledgements This research was supported by the  National Natural Science Fund  ( 31672472 ). Acknowledgements This research was funded by the  National Key Research and Development Program of China  ( 2017YFD0500500 ), and the  National Natural Science Foundation of China  ( 31301999 ).
Acknowledgements  Leandro Martin  was supported by  Universidade Federal de Viçosa  and the  Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)  for the award of a scholarship and hosted by  The University of Queensland. Acknowledgements This research was supported in part by  Fundamental research program   Faculty of Animal Science. Universitas Gadjah Mada Indonesia. Acknowledgements This research was funded by  National Key Research and Development Program of China  ( 2017YFD0500505 ) and the  Natural Science Foundation of China  ( 31772627 ). Acknowledgements The authors would like to thank  Niu  and  Morgen Horbin  for their helpful assistance in the project. Financial support for  SRP Feed Research Chair  ( Dr. P. Yu ) from the  Saskatchewan Ministry of Agriculture Strategic Research Chair Programs in Feeds R&D , the  Natural Sciences and Engineering Research Council of Canada , the  Saskatchewan Agriculture Development Fund, SaskMilk , the  Saskatchewan Forage Network , and  Western Grain Research Foundation  is acknowledged.
Acknowledgements This study was supported by  Ministry of Research, Technology and Higher Education. Acknowledgements This study was financed by the  Norwegian Research Council and TINE  BA. Acknowledgements This research is supported by a PhD grant of Colciencias. We thank  Dr. John A. Rooke  for helpful explanations on the respiration data from the SRUC the study. Acknowledgements This project was for by the  United States Department of Agriculture, Agriculture Research Service. Acknowledgements: This work was supported by  INRA-PHASE Division  and the  INRA-CSIRO Linkage Program. Acknowledgements This research was supported by grants from  The University of Sydney. References Titgemeyer E,  Drouillard C , Greenwood JS and Ringler JW 2004. Journal of Animal Science 82, 487-494. Acknowledgements This research was funded by  Finnish Ministry of Agriculture and Forestry, Valio Ltd , Faba co-op,  VikingGenetics ,  Finnish Cattle Breeding Foundation and Raisioagro Ltd.
Acknowledgements This work is part of a PhD thesis co-financed by the  CAPES-COFECUB program   Valorizar o Pampa. Acknowledgements This research was supported by grants from  Adisseo N. A. Acknowledgements This research was funded by the  Ellrichshausen Foundation. Acknowledgements This research was subsidised by  SPW ,  DGO3 ,  Namur ,  Belgium  Acknowledgements This work was supported by the  Special Fund for Agro-scientific Research in the Public Interest  ( 201403049 ) and the  Earmarked Fund for China Agriculture Research System  ( CARS-39 ). References  Rabelo E ,  Rezende RL ,  Bertics SJ  and  Grummer RR 2003. Journal of Dairy Science 86,  916-25. Sun ZH, He ZX and Zhang QL 2013. Journal of Animal Science 91, 4336-4344 Acknowledgements This work was supported by the  Special Fund for Agro-scientific Research in the Public Interest  ( 201303143 ,  201403049 ) and the  Earmarked Fund for China Agriculture Research System  ( CARS-39 ).
References CITEPA, 2015 http://www. citepa. org/fr/activites/inventaires-des-emissions/secten. IPCC, 2006. IPCC Guidelines for National Greenhouse Gas Inventories, Chapter 10. IGES, Japan. INRA, 2018. Inra Feeding System  for Ruminants. Wageningen Academic Publishers, Wageningen, the Netherlands, 640. Acknowledgements  Tom Tylutki  and  Mariann Fessenden  at  Agricultural Model and Training Systems  (AMTS). Acknowledgements The  Government of Sardinia (Italy)  for the financial support (Projects  CRP-17287 PO Sardegna ,  FSE 2007-2013 LR 7/2007 ). Acknowledgements Funding from the  Irish Government  under the  National Development Plan   2007-2013  through the  Department of Agriculture Food  and the  Marine Research Stimulus Fund   13/S/496 RAPIDFEED  is gratefully acknowledged. Acknowledgements This research was supported by grants from the  CASDAR AUTELO  project.
Acknowledgements  Fernanda Batistel  was supported by a fellowship from  CAPES (Brazilian Ministry of Education, Brasilia, Brazil). Acknowledgements This research was as a part of the project " New approaches to management and breeding, in automatic milking systems " ( NRC  Project No. :  244231 ) funded by The foundation for  Research levy on Agricultural Products ,  TINE SA ,  DeLaval  and  Geno. Acknowledgements The authors thank the staff of the  INRA goat unit  for taking care of the animals. Acknowledgements We thank the beef herds' teams where we have developed and tested the collars and MOOnitor system:  Kibbutz Gal-Ed ,  Tabash  family,  Kibbutz Kfar-Szold ,  Dabosh  family in  Kari Deshe -North R&D. Acknowledgements The authors acknowledge the funding from the  Research Stimulus Fund 2011  administered by the  Department of Agriculture, Fisheries and Food  (Project  11/S/132 ).
Acknowledgements This research was partially supported by grants from  Idele  in the project  CASDAR rfi   AcID 1310. The authors thank  J. Tessier  and his colleagues from  Inra-AgroParisTech  experimental farm for taking care of the goats References Bhagwat AM,  De Baets B ,  Steen A ,  Vlaeminck B  and Fievez V 2012. Journal of Dairy Science 95, 3926-3937. Fievez V ,  Colman E ,  Castro-Montoya JM ,  Stefanov I  and  Vlaeminck B  2012. Animal Feed Science and Technology 172, 51-65. Acknowledgments This research was supported by grants from the  PSDR4 Grand Ouest FLECHE. Acknowledgements This research was supported by  Innovate UK via Knowledge Transfer Partnership ,  SRUC and Biosimetrics Ltd. Acknowledgements The data used have been obtained from an experiment conducted as part of the Proleval project, supported by  Valorex  and financed by  Bpifrance.
Acknowledgements The authors thank the staff of the experimental dairy farm of  Mejusseaume dairy  farm, ( UMR1348 IEPL Le Rheu, France ) for the animal management. References Drackley JK and  Cardoso FC. Animal 2014, 8 Suppl 1, 5-14 Schübeler D 2015. Nature 517, 321-326. Acknowledgements This study was supported by the  Century Love International Investment Group Co. Ltd.
Acknowledgements The research leading to these results has received funding from the  European Union   Seventh Framework Program  ( FP7/2007-2013 ) under the grant agreement  n°311776  Acknowledgements  Faculty of Animal Science Universitas Gadjah Mada, Indonesia  for supporting fund in the study. Acknowledgements " CistusRumen " project ( ALT20-03-0145-FEDER-000023 ) funded by  Alentejo2020  through the  FEDER , and  FCT  by research grants of  O. Guerreiro  ( SFRH/BD/84406/2012 ) and  S. P. Alves  ( SFRH/BPD/76836/2011 ). Acknowledgements This research was supported by grants from  Ademe (Cortea Urea  project) and by  Gala association. References Bachman KC ,  Hayen MJ ,  Morse D  and  Wilcox CJ  1988. Journal of  Dairy Science  71, 925-931. Ferlay  A,  Martin B ,  Lerch S ,  Gobert M ,  Pradel P  and Chilliard Y 2010.
Acknowledgements We thank for funding support  Trow Nutrition ,  APTA/Colina, Fapemig ,  CNPq  and  Capes. References  Daniel ZCTR ,  Brameld JM ,  Craigon J ,  Scollan ND  and Buttery PJ 2007. Journal of Animal Science. 85, 1565-1576. Acknowledgements The authors thank  SICA Rouge des Prés and Région Pays de la Loire  for the financial support and  Institut Curie centre de recherche, Plateforme RPPA, Paris France , for the quantification of the biomarkers. Acknowledgements The regional council of  Auvergne-Rhône-Alpes  and the  Inra-Phase Division  for funding  J. Bazile. References Baron D, Dubois E, Bihouée A, Teusan R, Steenman M, Jourdon P, Magot A, Péréon Y, Veitia R, Savagner F, Ramstein G and Houlgatte R 2011. BMC Genomics 12, 113. Ceciliani F, Lecchi C, Bazile J and Bonnet M 2018.
Acknowledgments We thank the staff of AgroVet-Strickhof and the H. Wilhelm Schaumann Stiftung for funding the study. Acknowledgements This study was supported by project No. PJ01020902 of RDA, 2017, Korea. Acknowledgements The authors wish to thank the Deanship of Scientific Research at Jordan University of Science and Technology for the financial support of this project (192/2016). Acknowledgements The research leading to these results has received funding from the European Union Seventh Framework Program (FP7/2007-2013) under the grant agreement n°311776 and from the Région Centre under the grant agreement n°32000407. References Song SH 2010. Domestic Animal Endocrinology 39, 97-105. Reverchon M 2012. Biology of Reproduction 90, 102 Acknowledgements We thank the UMS344/US8 SFR Biosciences (Lyon, France) for transgenic mouse production, C.
Acknowledgements Research co-funded by " Conseil Régional Lorraine"  and the  French dairy professional organization "CNIEL ". Acknowledgements Authors are grateful to  C. Soulard ,  C. Boby  and  A. de la Foye  for microarray analyses performed at the  PlateForme d'Exploration du Métabolisme (PFEM, Theix, France) , the staff at  Herbipôle (INRA, UE1414, Theix, France)  for animal care and sample collection. This research was funded in part by  GISA program  of  INRA  ( Ruminflame  and  LongHealth  projects). Acknowledgements This study was financed by the  Norwegian Research Council ,  TINE BA (Oslo, Norway) ,  Fiskå Mølle AS (Sandane, Norway)  and  Norgesfôr AS (Oslo, Norway). Acknowledgements ' HEXAFLY ' for providing the insect larvae for this research work. References Association of  Official Analytical Chemists (AOAC) ,  Official Methods of Analysis.
AOAC Washington, DC 1990. Makkar HPS ,  Tran G ,  Heuzé V  and  Ankers P  2014. Animal Feed Science and Technology 197, 1-33 Van Soest PJ and Mason VC 1991. Animal Feed Science and Technology 32, 45-53. Acknowledgements This study was supported by the  ETH Zurich   Research Grant  and by the  China Scholarship Council. Acknowledgements This research was undertaken with supported from  Africa RISING , a program financed by  USAID. References Duncan AJ ,  Bachewe F ,  Mekonnen K ,  Valbuena D ,  Rachier G ,  Lule D , Bahta M. and Erenstein O 2016. Agriculture, Ecosystems Acknowledgements These investigations were supported by the  European Comission  through a  Marie Curie Initial Training Network  ( PITN-GA-2011-289377 , ' LegumePlus ' Project). Acknowledgements This project was financially supported by  Victam ,  Deka , and  For Farmer  through the  Wageningen University Fund  and the  Chinese Scholarship Council.
Acknowledgements This research was supported by grants from  Faculty of Animal Science, Universitas Gadjah Mada, Yogyakarta, Indonesia. References Tilley JMA , and  RA Terry   1963. Grass Forage Science 18, 104-111. Acknowledgements This research was supported by an  LPDP  ( Lembaga Pengelola Dana   Pendidikan)  Scholarship from the  Indonesian government , and The  University of Western Australia. Acknowledgements This study was supported by the project No  BIOSTRATEG2/297910/12/NCBR/2016. References Grajewski J,  Błajet-Kosicka  A, Twarużek M 2012. Journal of  Animal Physiology   and Animal Nutrition  96,  870-877. Svihus B,  Uhlen AK. ,  Harstad OM   2005. Animal Feed Science   and Technology 122 , 303-320. Acknowledgements This experiment was conducted as part of the Proleval project, supported by  Valorex  and financed by  Bpifrance.
Acknowledgements The authors acknowledge the  Teagasc Walsh Fellowship  and the  Dairy Levy Research Fund  for financial support. Acknowledgements Financial support was provided for this project by The  Ceres Trust (Chicago, IL)  and by a  Northeast Sustainable Agriculture Research and Education (SARE)   Partnership grant  (# ONE14-224-27806 ). Acknowledgements This work was supported by  FRNL programme  funded by the  New Zealand MBIE. References Gregorini P ,  Provenza F ,  Villalba J ,  Beukes P , Forbes M 2018. Journal of  Agricultural Science (Cambridge ) ( In Press )  Totty VK ,  Greenwood SL , Bryant RH, Edwards GR 2013. Journal of Dairy Science 96,141-149. Acknowledgements: The authors wish to thank the  Deanship of Scientific Research at Jordan University of Science and Technology  for the financial support of this project ( 320/2017 ).
Acknowledgements Financial assistance provided under project 3-sub project 2, promoting cactus (Opuntia ficus-indica) as drought resilient feed resource under different agro-ecological production systems across India within the Indian Council of Agriculture Research (ICAR) -the International Center for Agricultural Research in the Dry Areas (ICARDA) and the CGIAR Research Program (CRP) on Livestock collaboration, is thankfully acknowledged. References ICAR 2013. Nutrient Requirement of Animals-Sheep, Goat and Rabbit (ICAR-NIANP), Indian Council of Agricultural Research, New Delhi, India. Acknowledgements The research was supported by the China Special Fund for Agro-scientific Research in the Public Interest (No. 201303144) and the Top Talents Award Plan of Yangzhou University (2016). Acknowledgements This study was supported by the project No.
DS3217/KZiDZ/2017. References McKinnon JJ and Walker AM 2009. Canadian Journal of Animal Science 89, 401-408. Ørskov ER and McDonald I 1979. Journal of Agricultural Science 92, 499-503. Acknowledgements This research was supported by grant from FORMAS funding organisation. References Ertl P, Zebeli Q, Zollitsch W and Knaus W 2015. Journal of Dairy Science 98. 1225-1233 Huhtanen P, Jaakkola S and Saarisalo E 1995. Animal Science 60, 31-40 Acknowledgements We thank the Lekong Siwaq farmer group for implementing the study and financial support from BPTP NTB research collaboration section. Acknowledgements This research was supported by Program for Changjiang Scholars and Innovative Research Team in University (IRT_17R50), Natural Science Foundation of China (31672472) and the Fundamental Research Funds for the Central Universities (lzujbky-2017-53).
Acknowledgements This project was supported by UAEM 4335/2017. References NRC (National Research Council). 2006. Nutrient Requirement of Goat. Wanapat M, Cherdthong A, Phesatcha K and Kang S 2015. Animal Nutrition 96-103. Acknowledgements This research was supported by grants from VLIR-OUS and UCLV. Acknowledgements This research was supported by funding from MLA, Charles Sturt University and the Graham Centre. References Thomas DT, Milton JTB, Revell CK, Ewing MA and Lindsay DR 2014. Grass and Forage Science 70, 374-380. Thompson RB 2005. NSW Department of Primary Industries, Primefact 102. Acknowledgements The authors would like to thank Brittany Dyck and Qin Guoqin (Canola Council of Canada) for help sampling canola seed and canola meal in various crushers in Canada and China. The SRP Chair (PY) research programs have been supported by the Ministry of Agriculture Strategic Research Chair (PY) Program, SaskCanola, and Natural Sciences and Engineering Research Council of Canada (NSERC) etc.
Acknowledgements The National Synchrotron Light Source (NSLS) and Advanced Light Source (ALS) are supported by the U. S. Dept of Energy. The SRP Chair (PY) Programs fund from the Sask Pulse Growers (SPG), NSERC-Individual Discovery Grant; NSERC-CRD Grant, Saska Ag Strategic Research Chair Program Fund, Ag Development Fund (ADF), SaskMilk, SaskCanola, Sask Forage Network, Western Grain Research Foundation (WGRF), POGA etc are acknowledged. Acknowledgements The authors thank Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP, grant no. 2013/16720-2) and Conselho Nacional de Desenvolvimento Científico Tecnológico (CNPq). Acknowledgements The authors gratefully thank the staff of the  Khalat Poshan Research Center of Tabriz University.
Acknowledgements This research was supported by  Beijing Key Laboratory for Dairy Cow Nutrition. References Hill TM,  Vandehaar MJ ,  Sordillo LM Catherman DR ,  Bateman HG  and Schlotterbeck RL 2011. Journal of Dairy Science 94, 3936-48. Acknowledgements This study was supported by the project No  BIOSTRATEG2/297910/12/NCBR/2016. References Ørskov ER and  McDonald P 1979. Journal of Agricultural Science 92,  499-503. Peyraud JL Genest-Rulquin Ch  and  Vérité R 1988. Reproduction Nutrition Development   28 ,  129-130. Svihus B ,  Uhlen AK  and  Harstad OM   2005. Animal Feed Science and Technology 122 ,  303-320. Acknowledgements This research was funded by  IFCE ,  INRA GISA STReP  and  PSDR4 Auvergne  project new-DEAL. Acknowledgements This work was funded by the  INRA metaprogram GISA  (project STReP).