1 resultado para Predicting future earnings growth
em Digital Repository at Iowa State University
Filtro por publicador
- Repository Napier (2)
- Aberdeen University (3)
- Abertay Research Collections - Abertay University’s repository (1)
- Aberystwyth University Repository - Reino Unido (2)
- Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España (1)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (3)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (3)
- Aquatic Commons (17)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (1)
- Archimer: Archive de l'Institut francais de recherche pour l'exploitation de la mer (1)
- Archive of European Integration (6)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (9)
- Aston University Research Archive (34)
- Avian Conservation and Ecology - Eletronic Cientific Hournal - Écologie et conservation des oiseaux: (1)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (4)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (4)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (42)
- Brock University, Canada (4)
- Bulgarian Digital Mathematics Library at IMI-BAS (1)
- CaltechTHESIS (1)
- Cambridge University Engineering Department Publications Database (8)
- CentAUR: Central Archive University of Reading - UK (49)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (11)
- Cochin University of Science & Technology (CUSAT), India (2)
- Collection Of Biostatistics Research Archive (2)
- Comissão Econômica para a América Latina e o Caribe (CEPAL) (16)
- CORA - Cork Open Research Archive - University College Cork - Ireland (6)
- Corvinus Research Archive - The institutional repository for the Corvinus University of Budapest (2)
- CUNY Academic Works (1)
- Dalarna University College Electronic Archive (3)
- Digital Archives@Colby (2)
- Digital Commons - Michigan Tech (3)
- Digital Commons @ Winthrop University (1)
- Digital Commons at Florida International University (19)
- Digital Repository at Iowa State University (1)
- DigitalCommons@The Texas Medical Center (10)
- DigitalCommons@University of Nebraska - Lincoln (1)
- DRUM (Digital Repository at the University of Maryland) (1)
- Duke University (5)
- eResearch Archive - Queensland Department of Agriculture; Fisheries and Forestry (23)
- FUNDAJ - Fundação Joaquim Nabuco (1)
- Glasgow Theses Service (2)
- Greenwich Academic Literature Archive - UK (3)
- Helda - Digital Repository of University of Helsinki (19)
- Illinois Digital Environment for Access to Learning and Scholarship Repository (2)
- Indian Institute of Science - Bangalore - Índia (13)
- Institutional Repository of Leibniz University Hannover (1)
- Instituto Gulbenkian de Ciência (1)
- Instituto Politécnico de Viseu (1)
- Iowa Publications Online (IPO) - State Library, State of Iowa (Iowa), United States (1)
- Memoria Académica - FaHCE, UNLP - Argentina (3)
- Ministerio de Cultura, Spain (1)
- National Center for Biotechnology Information - NCBI (7)
- Nottingham eTheses (1)
- Open University Netherlands (1)
- Plymouth Marine Science Electronic Archive (PlyMSEA) (11)
- Portal de Revistas Científicas Complutenses - Espanha (1)
- Publishing Network for Geoscientific & Environmental Data (48)
- QSpace: Queen's University - Canada (2)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (17)
- Queensland University of Technology - ePrints Archive (289)
- Repositório Alice (Acesso Livre à Informação Científica da Embrapa / Repository Open Access to Scientific Information from Embrapa) (1)
- Repositório digital da Fundação Getúlio Vargas - FGV (10)
- Repositório Institucional da Universidade de Aveiro - Portugal (1)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (25)
- Royal College of Art Research Repository - Uninet Kingdom (1)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (7)
- SAPIENTIA - Universidade do Algarve - Portugal (4)
- The Scholarly Commons | School of Hotel Administration; Cornell University Research (2)
- Universidad de Alicante (1)
- Universidad del Rosario, Colombia (11)
- Universidad Politécnica de Madrid (5)
- Universidade Complutense de Madrid (1)
- Universidade Federal do Rio Grande do Norte (UFRN) (1)
- Universidade Técnica de Lisboa (1)
- Universitat de Girona, Spain (2)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (2)
- Université de Lausanne, Switzerland (2)
- Université de Montréal, Canada (1)
- University of Connecticut - USA (2)
- University of Michigan (5)
- University of Queensland eSpace - Australia (14)
- University of Washington (8)
- WestminsterResearch - UK (1)
Resumo:
Steers were sorted into four groups based on hip height and fat cover at the start of the finishing period. Each group of sorted steers was fed diets containing 0.59 or 0.64 Mcal NEg per lb. of diet dry matter. Steers with less initial fat cover (0.08 in.) compared with those with more (0.17) had less carcass fat cover 103 days later. The steers with less fat cover accumulated fat at a faster rate, but this was not apparent prior to 80 days. Accretion of fat was best predicted by an exponential growth equation, and was not affected by the two concentrations of energy fed in this study. Steers with greater initial height accumulated fat cover at a slower rate than shorter steers. This difference was interpreted to mean that large-frame steers accumulate subcutaneous fat at a slower rate than medium-frame steers. Increase in area of the ribeye was best described by a linear equation. Initial fat cover, hip height, and concentrations of energy in the diet did not affect rate of growth of this muscle. Predicting carcass fat cover from the initial ultrasound measurement of fat thickness found 46 of the 51 carcasses with less than 0.4 in. of fat cover. Twelve carcasses predicted to have less than 0.4 in. of fat cover had more than 0.4 in. Five carcasses predicted to have more than 0.4 in. actually had less than that. Accurate initial measurements of initial fat thickness with ultrasound might be a useful measurement to sort cattle for specific marketing grids.