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Effects of projected climate change on quantity and quality of soybean yield under different emission scenarios

Soybean is one of the most important oilseed crops in the world. Its economic value is based on the concentration of protein and oil produced in the seeds. However, in climate change studies, a crop simulation model like AquaCrop is unable to predict the qualitative yield of crops. Therefore, this s...

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Main Authors: Araji, Hamidreza Ahmadzadeh, Wayayok, Aimrun, Daneshian, Jahanfar, Mirzaei, Majid, Bavani, Ali Reza Massah, Teh, Christopher Boon Sung, Ahmadi, Parisa
Format: Article
Language:English
Published: Indian Academy of Sciences 2020
Online Access:http://psasir.upm.edu.my/id/eprint/88727/1/ABSTRACT.pdf
http://psasir.upm.edu.my/id/eprint/88727/
https://www.currentscience.ac.in/show.issue.php?volume=118&issue=1
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spelling my.upm.eprints.887272021-11-03T06:20:40Z http://psasir.upm.edu.my/id/eprint/88727/ Effects of projected climate change on quantity and quality of soybean yield under different emission scenarios Araji, Hamidreza Ahmadzadeh Wayayok, Aimrun Daneshian, Jahanfar Mirzaei, Majid Bavani, Ali Reza Massah Teh, Christopher Boon Sung Ahmadi, Parisa Soybean is one of the most important oilseed crops in the world. Its economic value is based on the concentration of protein and oil produced in the seeds. However, in climate change studies, a crop simulation model like AquaCrop is unable to predict the qualitative yield of crops. Therefore, this study aims to simulate qualitative soybean yield based on regression models between observed dry grain yield (Yd) from 12 treatments as independent variables with their corresponding observed values for oil and protein contents as dependent variables. The P-value (<0.05) and R2 value of the linear regression model showed that oil content was positively regressed with yield, whereas protein content was negatively regressed with yield. On the other hand, predicted values of Yd from the calibrated AquaCrop model over general circulation models based on weighted multi-model ensemble means of five emission scenarios have been used for simulation of soybean oil and protein contents in the future. The results obtained by comparing historical period (1985–2010) to the future period (2020–2039) centred on the 2030s, showed that soybean oil content increased similarly as yield increased in the future period while protein content decreased inversely with yield. Overall, statistical indicators showed that the linear regression model performed well to predict the soybean oil and protein content when AquaCrop model not able to simulate the qualitative yield. Indian Academy of Sciences 2020 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/88727/1/ABSTRACT.pdf Araji, Hamidreza Ahmadzadeh and Wayayok, Aimrun and Daneshian, Jahanfar and Mirzaei, Majid and Bavani, Ali Reza Massah and Teh, Christopher Boon Sung and Ahmadi, Parisa (2020) Effects of projected climate change on quantity and quality of soybean yield under different emission scenarios. Current Science, 118 (1). 103 - 107. ISSN 0011-3891 https://www.currentscience.ac.in/show.issue.php?volume=118&issue=1
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description Soybean is one of the most important oilseed crops in the world. Its economic value is based on the concentration of protein and oil produced in the seeds. However, in climate change studies, a crop simulation model like AquaCrop is unable to predict the qualitative yield of crops. Therefore, this study aims to simulate qualitative soybean yield based on regression models between observed dry grain yield (Yd) from 12 treatments as independent variables with their corresponding observed values for oil and protein contents as dependent variables. The P-value (<0.05) and R2 value of the linear regression model showed that oil content was positively regressed with yield, whereas protein content was negatively regressed with yield. On the other hand, predicted values of Yd from the calibrated AquaCrop model over general circulation models based on weighted multi-model ensemble means of five emission scenarios have been used for simulation of soybean oil and protein contents in the future. The results obtained by comparing historical period (1985–2010) to the future period (2020–2039) centred on the 2030s, showed that soybean oil content increased similarly as yield increased in the future period while protein content decreased inversely with yield. Overall, statistical indicators showed that the linear regression model performed well to predict the soybean oil and protein content when AquaCrop model not able to simulate the qualitative yield.
format Article
author Araji, Hamidreza Ahmadzadeh
Wayayok, Aimrun
Daneshian, Jahanfar
Mirzaei, Majid
Bavani, Ali Reza Massah
Teh, Christopher Boon Sung
Ahmadi, Parisa
spellingShingle Araji, Hamidreza Ahmadzadeh
Wayayok, Aimrun
Daneshian, Jahanfar
Mirzaei, Majid
Bavani, Ali Reza Massah
Teh, Christopher Boon Sung
Ahmadi, Parisa
Effects of projected climate change on quantity and quality of soybean yield under different emission scenarios
author_facet Araji, Hamidreza Ahmadzadeh
Wayayok, Aimrun
Daneshian, Jahanfar
Mirzaei, Majid
Bavani, Ali Reza Massah
Teh, Christopher Boon Sung
Ahmadi, Parisa
author_sort Araji, Hamidreza Ahmadzadeh
title Effects of projected climate change on quantity and quality of soybean yield under different emission scenarios
title_short Effects of projected climate change on quantity and quality of soybean yield under different emission scenarios
title_full Effects of projected climate change on quantity and quality of soybean yield under different emission scenarios
title_fullStr Effects of projected climate change on quantity and quality of soybean yield under different emission scenarios
title_full_unstemmed Effects of projected climate change on quantity and quality of soybean yield under different emission scenarios
title_sort effects of projected climate change on quantity and quality of soybean yield under different emission scenarios
publisher Indian Academy of Sciences
publishDate 2020
url http://psasir.upm.edu.my/id/eprint/88727/1/ABSTRACT.pdf
http://psasir.upm.edu.my/id/eprint/88727/
https://www.currentscience.ac.in/show.issue.php?volume=118&issue=1
_version_ 1717095409292148736
score 13.211869

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