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Fuzzy evaluation on the integrated benefit of regulated deficit irrigation for pear‐jujube tree based on information entropy

Based on the experimental data of regulated deficit irrigation at different growth stages on field pear‐jujube tree (Zizyphus jujube Mill.) during 2005–2007 in Northwest China, the regulated deficit irrigation integrated benefits (RDIIB) with different water deficit treatments at different growth st...

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Detalles Bibliográficos
Autores principales: Guo, Weihua, Gao, Yun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10261780/
https://www.ncbi.nlm.nih.gov/pubmed/37324865
http://dx.doi.org/10.1002/fsn3.3313
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author Guo, Weihua
Gao, Yun
author_facet Guo, Weihua
Gao, Yun
author_sort Guo, Weihua
collection PubMed
description Based on the experimental data of regulated deficit irrigation at different growth stages on field pear‐jujube tree (Zizyphus jujube Mill.) during 2005–2007 in Northwest China, the regulated deficit irrigation integrated benefits (RDIIB) with different water deficit treatments at different growth stages were evaluated and classified using a model. The results in 2005–2006 showed that the RDIIB under single‐stage water deficit at fruit maturity stage were better than the other treatments, and the best RDIIB were gained under moderate (IVSD) or severe deficit (IVMD) at fruit maturity stage. The results in 2006–2007 also indicated that the four double‐stage water deficit schemes have the better RDIIB, and the best scheme was severe water deficit at bud burst to leafing stage plus moderate water deficit at fruit maturity stage. The RDIIB evaluation model based on information entropy method provided the reliable technical guidance for the optimal RDI scheme of pear‐jujube tree.
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spelling pubmed-102617802023-06-15 Fuzzy evaluation on the integrated benefit of regulated deficit irrigation for pear‐jujube tree based on information entropy Guo, Weihua Gao, Yun Food Sci Nutr Original Articles Based on the experimental data of regulated deficit irrigation at different growth stages on field pear‐jujube tree (Zizyphus jujube Mill.) during 2005–2007 in Northwest China, the regulated deficit irrigation integrated benefits (RDIIB) with different water deficit treatments at different growth stages were evaluated and classified using a model. The results in 2005–2006 showed that the RDIIB under single‐stage water deficit at fruit maturity stage were better than the other treatments, and the best RDIIB were gained under moderate (IVSD) or severe deficit (IVMD) at fruit maturity stage. The results in 2006–2007 also indicated that the four double‐stage water deficit schemes have the better RDIIB, and the best scheme was severe water deficit at bud burst to leafing stage plus moderate water deficit at fruit maturity stage. The RDIIB evaluation model based on information entropy method provided the reliable technical guidance for the optimal RDI scheme of pear‐jujube tree. John Wiley and Sons Inc. 2023-03-13 /pmc/articles/PMC10261780/ /pubmed/37324865 http://dx.doi.org/10.1002/fsn3.3313 Text en © 2023 The Authors. Food Science & Nutrition published by Wiley Periodicals LLC. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Guo, Weihua
Gao, Yun
Fuzzy evaluation on the integrated benefit of regulated deficit irrigation for pear‐jujube tree based on information entropy
title Fuzzy evaluation on the integrated benefit of regulated deficit irrigation for pear‐jujube tree based on information entropy
title_full Fuzzy evaluation on the integrated benefit of regulated deficit irrigation for pear‐jujube tree based on information entropy
title_fullStr Fuzzy evaluation on the integrated benefit of regulated deficit irrigation for pear‐jujube tree based on information entropy
title_full_unstemmed Fuzzy evaluation on the integrated benefit of regulated deficit irrigation for pear‐jujube tree based on information entropy
title_short Fuzzy evaluation on the integrated benefit of regulated deficit irrigation for pear‐jujube tree based on information entropy
title_sort fuzzy evaluation on the integrated benefit of regulated deficit irrigation for pear‐jujube tree based on information entropy
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10261780/
https://www.ncbi.nlm.nih.gov/pubmed/37324865
http://dx.doi.org/10.1002/fsn3.3313
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