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Performance of four crop model for simulations of wheat phenology, leaf growth, biomass and yield across planting dates
Robustness of four wheat simulation model were tested with 2-year field experiments of three cultivars across a wide range of sowing dates in two different climatic regions: Faisalabad (semi-arid) and Layyah (arid), in Punjab-Pakistan. Wheat growing season temperature ranged from -0.1°C to 43°C. The...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6002079/ https://www.ncbi.nlm.nih.gov/pubmed/29902178 http://dx.doi.org/10.1371/journal.pone.0197546 |
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author | Hussain, Jamshad Khaliq, Tasneem Ahmad, Ashfaq Akhtar, Javed |
author_facet | Hussain, Jamshad Khaliq, Tasneem Ahmad, Ashfaq Akhtar, Javed |
author_sort | Hussain, Jamshad |
collection | PubMed |
description | Robustness of four wheat simulation model were tested with 2-year field experiments of three cultivars across a wide range of sowing dates in two different climatic regions: Faisalabad (semi-arid) and Layyah (arid), in Punjab-Pakistan. Wheat growing season temperature ranged from -0.1°C to 43°C. The wide series of sowing dates was a unique opportunity to grow the wheat in an environment which temperatures varies from -0.1°C to 43°C. The CERES-Wheat, Nwheat, CROPSIM-Wheat and APSIM-Wheat model were calibrated against the least-stressed treatment for each wheat cultivar. Overall, the four models described performance of early, optimum and late sown wheat well, but poorly described yields of very late planting dates with associated high temperatures during grain filling. The poor accuracy of simulations of yield for extreme planting dates point to the need to improve the accuracy of model simulations at the high end of the growing temperature range, especially given the expected future increases in growing season temperature. Improvement in simulation of maximum leaf area index of wheat for all models is needed. APSIM-Wheat only poorly simulated days to maturity of very and extremely late sown wheat compared to other models. Overall, there is a need of improvement in function of models to response high temperature. |
format | Online Article Text |
id | pubmed-6002079 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-60020792018-06-25 Performance of four crop model for simulations of wheat phenology, leaf growth, biomass and yield across planting dates Hussain, Jamshad Khaliq, Tasneem Ahmad, Ashfaq Akhtar, Javed PLoS One Research Article Robustness of four wheat simulation model were tested with 2-year field experiments of three cultivars across a wide range of sowing dates in two different climatic regions: Faisalabad (semi-arid) and Layyah (arid), in Punjab-Pakistan. Wheat growing season temperature ranged from -0.1°C to 43°C. The wide series of sowing dates was a unique opportunity to grow the wheat in an environment which temperatures varies from -0.1°C to 43°C. The CERES-Wheat, Nwheat, CROPSIM-Wheat and APSIM-Wheat model were calibrated against the least-stressed treatment for each wheat cultivar. Overall, the four models described performance of early, optimum and late sown wheat well, but poorly described yields of very late planting dates with associated high temperatures during grain filling. The poor accuracy of simulations of yield for extreme planting dates point to the need to improve the accuracy of model simulations at the high end of the growing temperature range, especially given the expected future increases in growing season temperature. Improvement in simulation of maximum leaf area index of wheat for all models is needed. APSIM-Wheat only poorly simulated days to maturity of very and extremely late sown wheat compared to other models. Overall, there is a need of improvement in function of models to response high temperature. Public Library of Science 2018-06-14 /pmc/articles/PMC6002079/ /pubmed/29902178 http://dx.doi.org/10.1371/journal.pone.0197546 Text en © 2018 Hussain et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Hussain, Jamshad Khaliq, Tasneem Ahmad, Ashfaq Akhtar, Javed Performance of four crop model for simulations of wheat phenology, leaf growth, biomass and yield across planting dates |
title | Performance of four crop model for simulations of wheat phenology, leaf growth, biomass and yield across planting dates |
title_full | Performance of four crop model for simulations of wheat phenology, leaf growth, biomass and yield across planting dates |
title_fullStr | Performance of four crop model for simulations of wheat phenology, leaf growth, biomass and yield across planting dates |
title_full_unstemmed | Performance of four crop model for simulations of wheat phenology, leaf growth, biomass and yield across planting dates |
title_short | Performance of four crop model for simulations of wheat phenology, leaf growth, biomass and yield across planting dates |
title_sort | performance of four crop model for simulations of wheat phenology, leaf growth, biomass and yield across planting dates |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6002079/ https://www.ncbi.nlm.nih.gov/pubmed/29902178 http://dx.doi.org/10.1371/journal.pone.0197546 |
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