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Modelling the effects of cold temperature during the reproductive stage on the yield of chickpea (Cicer arietinum L.)
During the reproductive stage, chilling temperatures and frost reduce the yield of chickpea and limit its adaptation. The adverse effects of chilling temperature and frost in terms of the threshold temperatures, impact of cold duration, and genotype-by-environment-by-management interactions are not...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8727402/ https://www.ncbi.nlm.nih.gov/pubmed/34609561 http://dx.doi.org/10.1007/s00484-021-02197-8 |
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author | Anwar, Muhuddin Rajin Luckett, David J. Chauhan, Yashvir S. Ip, Ryan H. L. Maphosa, Lancelot Simpson, Marja Warren, Annie Raman, Rosy Richards, Mark F. Pengilley, Georgina Hobson, Kristy Graham, Neroli |
author_facet | Anwar, Muhuddin Rajin Luckett, David J. Chauhan, Yashvir S. Ip, Ryan H. L. Maphosa, Lancelot Simpson, Marja Warren, Annie Raman, Rosy Richards, Mark F. Pengilley, Georgina Hobson, Kristy Graham, Neroli |
author_sort | Anwar, Muhuddin Rajin |
collection | PubMed |
description | During the reproductive stage, chilling temperatures and frost reduce the yield of chickpea and limit its adaptation. The adverse effects of chilling temperature and frost in terms of the threshold temperatures, impact of cold duration, and genotype-by-environment-by-management interactions are not well quantified. Crop growth models that predict flowering time and yield under diverse climates can identify combinations of cultivars and sowing time to reduce frost risk in target environments. The Agricultural Production Systems Simulator (APSIM-chickpea) model uses daily temperatures to model basic crop growth but does not include penalties for either frost damage or cold temperatures during flowering and podding stages. Regression analysis overcame this limitation of the model for chickpea crops grown at 95 locations in Australia using 70 years of historic data incorporating three cultivars and three sowing times (early, mid, and late). We modified model parameters to include the effect of soil water on thermal time calculations, which significantly improved the prediction of flowering time. Simulated data, and data from field experiments grown in Australia (2013 to 2019), showed robust predictions for flowering time (n = 29; R(2) = 0.97), and grain yield (n = 22; R(2) = 0.63–0.70). In addition, we identified threshold cold temperatures that significantly affected predicted yield, and combinations of locations, variety, and sowing time where the overlap between peak cold temperatures and peak flowering was minimal. Our results showed that frost and/or cold temperature–induced yield losses are a major limitation in some unexpected Australian locations, e.g., inland, subtropical latitudes in Queensland. Intermediate sowing maximise yield, as it avoids cold temperature, late heat, and drought stresses potentially limiting yield in early and late sowing respectively. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00484-021-02197-8. |
format | Online Article Text |
id | pubmed-8727402 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-87274022022-01-18 Modelling the effects of cold temperature during the reproductive stage on the yield of chickpea (Cicer arietinum L.) Anwar, Muhuddin Rajin Luckett, David J. Chauhan, Yashvir S. Ip, Ryan H. L. Maphosa, Lancelot Simpson, Marja Warren, Annie Raman, Rosy Richards, Mark F. Pengilley, Georgina Hobson, Kristy Graham, Neroli Int J Biometeorol Original Paper During the reproductive stage, chilling temperatures and frost reduce the yield of chickpea and limit its adaptation. The adverse effects of chilling temperature and frost in terms of the threshold temperatures, impact of cold duration, and genotype-by-environment-by-management interactions are not well quantified. Crop growth models that predict flowering time and yield under diverse climates can identify combinations of cultivars and sowing time to reduce frost risk in target environments. The Agricultural Production Systems Simulator (APSIM-chickpea) model uses daily temperatures to model basic crop growth but does not include penalties for either frost damage or cold temperatures during flowering and podding stages. Regression analysis overcame this limitation of the model for chickpea crops grown at 95 locations in Australia using 70 years of historic data incorporating three cultivars and three sowing times (early, mid, and late). We modified model parameters to include the effect of soil water on thermal time calculations, which significantly improved the prediction of flowering time. Simulated data, and data from field experiments grown in Australia (2013 to 2019), showed robust predictions for flowering time (n = 29; R(2) = 0.97), and grain yield (n = 22; R(2) = 0.63–0.70). In addition, we identified threshold cold temperatures that significantly affected predicted yield, and combinations of locations, variety, and sowing time where the overlap between peak cold temperatures and peak flowering was minimal. Our results showed that frost and/or cold temperature–induced yield losses are a major limitation in some unexpected Australian locations, e.g., inland, subtropical latitudes in Queensland. Intermediate sowing maximise yield, as it avoids cold temperature, late heat, and drought stresses potentially limiting yield in early and late sowing respectively. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00484-021-02197-8. Springer Berlin Heidelberg 2021-10-05 2022 /pmc/articles/PMC8727402/ /pubmed/34609561 http://dx.doi.org/10.1007/s00484-021-02197-8 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Paper Anwar, Muhuddin Rajin Luckett, David J. Chauhan, Yashvir S. Ip, Ryan H. L. Maphosa, Lancelot Simpson, Marja Warren, Annie Raman, Rosy Richards, Mark F. Pengilley, Georgina Hobson, Kristy Graham, Neroli Modelling the effects of cold temperature during the reproductive stage on the yield of chickpea (Cicer arietinum L.) |
title | Modelling the effects of cold temperature during the reproductive stage on the yield of chickpea (Cicer arietinum L.) |
title_full | Modelling the effects of cold temperature during the reproductive stage on the yield of chickpea (Cicer arietinum L.) |
title_fullStr | Modelling the effects of cold temperature during the reproductive stage on the yield of chickpea (Cicer arietinum L.) |
title_full_unstemmed | Modelling the effects of cold temperature during the reproductive stage on the yield of chickpea (Cicer arietinum L.) |
title_short | Modelling the effects of cold temperature during the reproductive stage on the yield of chickpea (Cicer arietinum L.) |
title_sort | modelling the effects of cold temperature during the reproductive stage on the yield of chickpea (cicer arietinum l.) |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8727402/ https://www.ncbi.nlm.nih.gov/pubmed/34609561 http://dx.doi.org/10.1007/s00484-021-02197-8 |
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