Contribution of climate models and APSIM phenological parameters to uncertainties in spring wheat simulations: Application of SUFI‐2 algorithm in northeast Australia-Reference-Cited by-同舟云学术

Contribution of climate models and APSIM phenological parameters to uncertainties in spring wheat simulations: Application of SUFI‐2 algorithm in northeast Australia

Published:2021-12-05 Issue: Volume: Page:
ISSN:0931-2250
Container-title:Journal of Agronomy and Crop Science
language:en
Short-container-title:J Agro Crop Sci

Author:

Collins Brian¹^ORCID,Najeeb Ullah²,Luo Qunying³,Tan Daniel K. Y.⁴

Affiliation:

1. College of Science and Engineering James Cook University Townsville Queensland Australia

2. The Queensland Alliance for Agriculture and Food Innovation (QAAFI) The University of Queensland Gatton Queensland Australia

3. Hillridge Technology Pty Ltd. Sydney New South Wales Australia

4. Faculty of Science School of Life and Environmental Sciences Institute of Agriculture The University of Sydney Sydney New South Wales Australia

Funder

University of Queensland

Publisher

Wiley

Subject

Plant Science,Agronomy and Crop Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/jac.12575

Reference87 articles.

1. Recent Trends in Drought, Heat and Frost-Induced Yield Losses Across the Australian Wheatbelt

2. Heat shocks increasingly impede grain filling but have little effect on grain setting across the Australian wheatbelt

3. Detection of major weather patterns reduces number of simulations in climate impact studies

4. Water footprint assessment of main cereals in Iran

5. Development and application of a planning support system to assess strategies related to land and water resources for adaptation to climate change

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