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Effects of fallow tillage on winter wheat yield and predictions under different precipitation types
In northern China, precipitation that is primarily concentrated during the fallow period is insufficient for the growth stage, creates a moisture shortage, and leads to low, unstable yields. Yield prediction in the early growth stages significantly informs field management decisions for winter wheat...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8667742/ https://www.ncbi.nlm.nih.gov/pubmed/34966595 http://dx.doi.org/10.7717/peerj.12602 |
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author | Feng, Yu Lin, Wen Yu, Shaobo Ren, Aixia Wang, Qiang Noor, Hafeez Xue, Jianfu Yang, Zhenping Sun, Min Gao, Zhiqiang |
author_facet | Feng, Yu Lin, Wen Yu, Shaobo Ren, Aixia Wang, Qiang Noor, Hafeez Xue, Jianfu Yang, Zhenping Sun, Min Gao, Zhiqiang |
author_sort | Feng, Yu |
collection | PubMed |
description | In northern China, precipitation that is primarily concentrated during the fallow period is insufficient for the growth stage, creates a moisture shortage, and leads to low, unstable yields. Yield prediction in the early growth stages significantly informs field management decisions for winter wheat (Triticum aestivum L.). A 10-year field experiment carried out in the Loess Plateau area tested how three tillage practices (deep ploughing (DP), subsoiling (SS), and no tillage (NT)) influenced cultivation and yield across different fallow periods. The experiment used the random forest (RF) algorithm to construct a prediction model of yields and yield components. Our results revealed that tillage during the fallow period was more effective than NT in improving yield in dryland wheat. Under drought condition, DP during the fallow period achieved a higher yield than SS, especially in drought years; DP was 16% higher than SS. RF was deemed fit for yield prediction across different precipitation years. An RF model was developed using meteorological factors for fixed variables and soil water storage after tillage during a fallow period for a control variable. Small error values existed in the prediction yield, spike number, and grains number per spike. Additionally, the relative error of crop yield under fallow tillage (5.24%) was smaller than that of NT (6.49%). The prediction error of relative meteorological yield was minimum and optimal, indicating that the model is suitable to explain the influence of meteorological factors on yield. |
format | Online Article Text |
id | pubmed-8667742 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-86677422021-12-28 Effects of fallow tillage on winter wheat yield and predictions under different precipitation types Feng, Yu Lin, Wen Yu, Shaobo Ren, Aixia Wang, Qiang Noor, Hafeez Xue, Jianfu Yang, Zhenping Sun, Min Gao, Zhiqiang PeerJ Agricultural Science In northern China, precipitation that is primarily concentrated during the fallow period is insufficient for the growth stage, creates a moisture shortage, and leads to low, unstable yields. Yield prediction in the early growth stages significantly informs field management decisions for winter wheat (Triticum aestivum L.). A 10-year field experiment carried out in the Loess Plateau area tested how three tillage practices (deep ploughing (DP), subsoiling (SS), and no tillage (NT)) influenced cultivation and yield across different fallow periods. The experiment used the random forest (RF) algorithm to construct a prediction model of yields and yield components. Our results revealed that tillage during the fallow period was more effective than NT in improving yield in dryland wheat. Under drought condition, DP during the fallow period achieved a higher yield than SS, especially in drought years; DP was 16% higher than SS. RF was deemed fit for yield prediction across different precipitation years. An RF model was developed using meteorological factors for fixed variables and soil water storage after tillage during a fallow period for a control variable. Small error values existed in the prediction yield, spike number, and grains number per spike. Additionally, the relative error of crop yield under fallow tillage (5.24%) was smaller than that of NT (6.49%). The prediction error of relative meteorological yield was minimum and optimal, indicating that the model is suitable to explain the influence of meteorological factors on yield. PeerJ Inc. 2021-12-08 /pmc/articles/PMC8667742/ /pubmed/34966595 http://dx.doi.org/10.7717/peerj.12602 Text en © 2021 Feng et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited. |
spellingShingle | Agricultural Science Feng, Yu Lin, Wen Yu, Shaobo Ren, Aixia Wang, Qiang Noor, Hafeez Xue, Jianfu Yang, Zhenping Sun, Min Gao, Zhiqiang Effects of fallow tillage on winter wheat yield and predictions under different precipitation types |
title | Effects of fallow tillage on winter wheat yield and predictions under different precipitation types |
title_full | Effects of fallow tillage on winter wheat yield and predictions under different precipitation types |
title_fullStr | Effects of fallow tillage on winter wheat yield and predictions under different precipitation types |
title_full_unstemmed | Effects of fallow tillage on winter wheat yield and predictions under different precipitation types |
title_short | Effects of fallow tillage on winter wheat yield and predictions under different precipitation types |
title_sort | effects of fallow tillage on winter wheat yield and predictions under different precipitation types |
topic | Agricultural Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8667742/ https://www.ncbi.nlm.nih.gov/pubmed/34966595 http://dx.doi.org/10.7717/peerj.12602 |
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