Cargando…

Estimation of maize evapotraspiration under drought stress - A case study of Huaibei Plain, China

Given the importance and complexity of crop evapotranspiration estimation under drought stress, an experiment tailored for maize under drought stress was completed using six sets of large-scale weighing lysimeters at the Xinmaqiao Comprehensive Experimental Irrigation and Drainage Station, Anhui Pro...

Descripción completa

Detalles Bibliográficos
Autores principales: Yuan, Hongwei, Cui, Yi, Ning, Shaowei, Jiang, Shangming, Yuan, Xianjiang, Tang, Guangmin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6830823/
https://www.ncbi.nlm.nih.gov/pubmed/31689311
http://dx.doi.org/10.1371/journal.pone.0223756
_version_ 1783465840599891968
author Yuan, Hongwei
Cui, Yi
Ning, Shaowei
Jiang, Shangming
Yuan, Xianjiang
Tang, Guangmin
author_facet Yuan, Hongwei
Cui, Yi
Ning, Shaowei
Jiang, Shangming
Yuan, Xianjiang
Tang, Guangmin
author_sort Yuan, Hongwei
collection PubMed
description Given the importance and complexity of crop evapotranspiration estimation under drought stress, an experiment tailored for maize under drought stress was completed using six sets of large-scale weighing lysimeters at the Xinmaqiao Comprehensive Experimental Irrigation and Drainage Station, Anhui Province, China. Our aim was to analyze maize evapotranspiration under different drought conditions. Based on estimates of maize evapotranspiration under no drought stress using the dual crop coefficient approach, we optimized and calibrated basic crop coefficients K(cbini), K(cbmid), K(cbend), and the maximum crop coefficient K(cmax) using a genetic algorithm. Measurements of solar radiation at the experimental station were used to derive the empirical parameters a and b from the Angstrom formula through the genetic algorithm, and then evapotranspiration was calculated for the reference crop (ET(0)). We then estimated the maize evapotranspiration under drought using the dual crop coefficient approach. The results indicated that a slight water deficit during the earlier stage of vegetative growth may stimulate the maize homeostatic mechanism and increase tolerance to drought stress in later growth periods. Maize evapotranspiration significantly decreased if drought stress continued into the elongation stage, and the same degree of drought stress had a greater influence on the middle and later stages of vegetative and reproductive growth. The calibrated results for K(cbini), K(cbmid), K(cbend), and K(cmax) were 0.155, 1.218, 0.420 and 1.497 respectively. We calculated the root-mean-square error (RMSE), mean absolute error (MAE), and mean relative error (MRE) of maize evapotranspiration under no drought stress over the full growing season using a dual crop coefficient approach, and the results were 1.33 mm/day, 0.99 mm/day, and 1.30%, respectively, or 18.40%, 17.50%, and 91.11% lower than results using the recommended coefficients. The RMSE, MAE, and MRE results for maize under drought stress during two full growth periods were 1.18 mm/day, 0.98 mm/day, and 13.92%, respectively. These results were higher than maize without drought stress, but better than the estimated results based on FAO-56 recommended values. Therefore, maize evapotranspiration estimation under drought stress using the dual crop coefficient approach and genetic algorithm was reasonable and reliable. This study provides a theoretical basis for developing suitable regional irrigation programs and decreasing losses due to agricultural drought.
format Online
Article
Text
id pubmed-6830823
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-68308232019-11-14 Estimation of maize evapotraspiration under drought stress - A case study of Huaibei Plain, China Yuan, Hongwei Cui, Yi Ning, Shaowei Jiang, Shangming Yuan, Xianjiang Tang, Guangmin PLoS One Research Article Given the importance and complexity of crop evapotranspiration estimation under drought stress, an experiment tailored for maize under drought stress was completed using six sets of large-scale weighing lysimeters at the Xinmaqiao Comprehensive Experimental Irrigation and Drainage Station, Anhui Province, China. Our aim was to analyze maize evapotranspiration under different drought conditions. Based on estimates of maize evapotranspiration under no drought stress using the dual crop coefficient approach, we optimized and calibrated basic crop coefficients K(cbini), K(cbmid), K(cbend), and the maximum crop coefficient K(cmax) using a genetic algorithm. Measurements of solar radiation at the experimental station were used to derive the empirical parameters a and b from the Angstrom formula through the genetic algorithm, and then evapotranspiration was calculated for the reference crop (ET(0)). We then estimated the maize evapotranspiration under drought using the dual crop coefficient approach. The results indicated that a slight water deficit during the earlier stage of vegetative growth may stimulate the maize homeostatic mechanism and increase tolerance to drought stress in later growth periods. Maize evapotranspiration significantly decreased if drought stress continued into the elongation stage, and the same degree of drought stress had a greater influence on the middle and later stages of vegetative and reproductive growth. The calibrated results for K(cbini), K(cbmid), K(cbend), and K(cmax) were 0.155, 1.218, 0.420 and 1.497 respectively. We calculated the root-mean-square error (RMSE), mean absolute error (MAE), and mean relative error (MRE) of maize evapotranspiration under no drought stress over the full growing season using a dual crop coefficient approach, and the results were 1.33 mm/day, 0.99 mm/day, and 1.30%, respectively, or 18.40%, 17.50%, and 91.11% lower than results using the recommended coefficients. The RMSE, MAE, and MRE results for maize under drought stress during two full growth periods were 1.18 mm/day, 0.98 mm/day, and 13.92%, respectively. These results were higher than maize without drought stress, but better than the estimated results based on FAO-56 recommended values. Therefore, maize evapotranspiration estimation under drought stress using the dual crop coefficient approach and genetic algorithm was reasonable and reliable. This study provides a theoretical basis for developing suitable regional irrigation programs and decreasing losses due to agricultural drought. Public Library of Science 2019-11-05 /pmc/articles/PMC6830823/ /pubmed/31689311 http://dx.doi.org/10.1371/journal.pone.0223756 Text en © 2019 Yuan 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
Yuan, Hongwei
Cui, Yi
Ning, Shaowei
Jiang, Shangming
Yuan, Xianjiang
Tang, Guangmin
Estimation of maize evapotraspiration under drought stress - A case study of Huaibei Plain, China
title Estimation of maize evapotraspiration under drought stress - A case study of Huaibei Plain, China
title_full Estimation of maize evapotraspiration under drought stress - A case study of Huaibei Plain, China
title_fullStr Estimation of maize evapotraspiration under drought stress - A case study of Huaibei Plain, China
title_full_unstemmed Estimation of maize evapotraspiration under drought stress - A case study of Huaibei Plain, China
title_short Estimation of maize evapotraspiration under drought stress - A case study of Huaibei Plain, China
title_sort estimation of maize evapotraspiration under drought stress - a case study of huaibei plain, china
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6830823/
https://www.ncbi.nlm.nih.gov/pubmed/31689311
http://dx.doi.org/10.1371/journal.pone.0223756
work_keys_str_mv AT yuanhongwei estimationofmaizeevapotraspirationunderdroughtstressacasestudyofhuaibeiplainchina
AT cuiyi estimationofmaizeevapotraspirationunderdroughtstressacasestudyofhuaibeiplainchina
AT ningshaowei estimationofmaizeevapotraspirationunderdroughtstressacasestudyofhuaibeiplainchina
AT jiangshangming estimationofmaizeevapotraspirationunderdroughtstressacasestudyofhuaibeiplainchina
AT yuanxianjiang estimationofmaizeevapotraspirationunderdroughtstressacasestudyofhuaibeiplainchina
AT tangguangmin estimationofmaizeevapotraspirationunderdroughtstressacasestudyofhuaibeiplainchina