1 resultado para Team learning approach in education
em eResearch Archive - Queensland Department of Agriculture
Filtro por publicador
- Aberdeen University (1)
- Aberystwyth University Repository - Reino Unido (1)
- Academic Research Repository at Institute of Developing Economies (1)
- Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España (4)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (3)
- Andina Digital - Repositorio UASB-Digital - Universidade Andina Simón Bolívar (1)
- Aquatic Commons (4)
- Archive of European Integration (21)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (1)
- Aston University Research Archive (10)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (5)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (1)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (57)
- Brock University, Canada (24)
- Bucknell University Digital Commons - Pensilvania - USA (2)
- Bulgarian Digital Mathematics Library at IMI-BAS (2)
- Cambridge University Engineering Department Publications Database (10)
- CentAUR: Central Archive University of Reading - UK (39)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (3)
- Cochin University of Science & Technology (CUSAT), India (7)
- Coffee Science - Universidade Federal de Lavras (1)
- Comissão Econômica para a América Latina e o Caribe (CEPAL) (9)
- CORA - Cork Open Research Archive - University College Cork - Ireland (4)
- Dalarna University College Electronic Archive (3)
- Department of Computer Science E-Repository - King's College London, Strand, London (2)
- Digital Commons - Michigan Tech (1)
- Digital Commons @ DU | University of Denver Research (1)
- Digital Commons at Florida International University (8)
- Digital Peer Publishing (5)
- DigitalCommons@The Texas Medical Center (5)
- DigitalCommons@University of Nebraska - Lincoln (6)
- Doria (National Library of Finland DSpace Services) - National Library of Finland, Finland (3)
- Duke University (1)
- eResearch Archive - Queensland Department of Agriculture; Fisheries and Forestry (1)
- FUNDAJ - Fundação Joaquim Nabuco (1)
- Funes: Repositorio digital de documentos en Educación Matemática - Colombia (1)
- Greenwich Academic Literature Archive - UK (4)
- Helda - Digital Repository of University of Helsinki (6)
- Indian Institute of Science - Bangalore - Índia (14)
- Instituto Politécnico de Leiria (1)
- Instituto Politécnico de Viseu (2)
- Instituto Politécnico do Porto, Portugal (4)
- Instituto Superior de Psicologia Aplicada - Lisboa (1)
- Massachusetts Institute of Technology (2)
- Memorial University Research Repository (1)
- Ministerio de Cultura, Spain (26)
- National Center for Biotechnology Information - NCBI (3)
- Nottingham eTheses (1)
- Open University Netherlands (3)
- Plymouth Marine Science Electronic Archive (PlyMSEA) (2)
- Portal de Revistas Científicas Complutenses - Espanha (2)
- Publishing Network for Geoscientific & Environmental Data (1)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (78)
- Queensland University of Technology - ePrints Archive (153)
- RCAAP - Repositório Científico de Acesso Aberto de Portugal (1)
- Repositorio Académico de la Universidad Nacional de Costa Rica (1)
- Repositório Científico da Universidade de Évora - Portugal (3)
- Repositório digital da Fundação Getúlio Vargas - FGV (2)
- Repositório Institucional da Universidade de Aveiro - Portugal (2)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (18)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (3)
- SAPIENTIA - Universidade do Algarve - Portugal (1)
- Savoirs UdeS : plateforme de diffusion de la production intellectuelle de l’Université de Sherbrooke - Canada (1)
- School of Medicine, Washington University, United States (5)
- Scielo España (1)
- Scientific Open-access Literature Archive and Repository (1)
- Universidad Autónoma de Nuevo León, Mexico (1)
- Universidad de Alicante (9)
- Universidad del Rosario, Colombia (2)
- Universidad Politécnica de Madrid (22)
- Universitat de Girona, Spain (12)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (1)
- Université de Lausanne, Switzerland (2)
- Université de Montréal, Canada (3)
- University of Canberra Research Repository - Australia (2)
- University of Connecticut - USA (1)
- University of Michigan (57)
- University of Queensland eSpace - Australia (26)
- University of Southampton, United Kingdom (1)
- University of Washington (2)
- WestminsterResearch - UK (2)
- Worcester Research and Publications - Worcester Research and Publications - UK (3)
Resumo:
Physiological and genetic studies of leaf growth often focus on short-term responses, leaving a gap to whole-plant models that predict biomass accumulation, transpiration and yield at crop scale. To bridge this gap, we developed a model that combines an existing model of leaf 6 expansion in response to short-term environmental variations with a model coordinating the development of all leaves of a plant. The latter was based on: (1) rates of leaf initiation, appearance and end of elongation measured in field experiments; and (2) the hypothesis of an independence of the growth between leaves. The resulting whole-plant leaf model was integrated into the generic crop model APSIM which provided dynamic feedback of environmental conditions to the leaf model and allowed simulation of crop growth at canopy level. The model was tested in 12 field situations with contrasting temperature, evaporative demand and soil water status. In observed and simulated data, high evaporative demand reduced leaf area at the whole-plant level, and short water deficits affected only leaves developing during the stress, either visible or still hidden in the whorl. The model adequately simulated whole-plant profiles of leaf area with a single set of parameters that applied to the same hybrid in all experiments. It was also suitable to predict biomass accumulation and yield of a similar hybrid grown in different conditions. This model extends to field conditions existing knowledge of the environmental controls of leaf elongation, and can be used to simulate how their genetic controls flow through to yield.