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Effect of Different Water Treatments in Soil-Plant-Atmosphere Continuum Based on Intelligent Weighing Systems
In order to meet the needs of dynamic continuous monitoring of soil-plant-atmosphere continuum (SPAC), a new soil, plant, atmosphere analysis system has been established based on an intelligent weighing system (IWS). Four types of irrigation treatments (90%, 80%, 70%, and 60% of field capacity (FC))...
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Published in: | Water (Basel) 2022-02, Vol.14 (4), p.673 |
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description | In order to meet the needs of dynamic continuous monitoring of soil-plant-atmosphere continuum (SPAC), a new soil, plant, atmosphere analysis system has been established based on an intelligent weighing system (IWS). Four types of irrigation treatments (90%, 80%, 70%, and 60% of field capacity (FC)) were conducted on lettuce (Lactuca sativa var. ramosa Hort.) for two-season planting experiments. Regarding the soil, the relative system weight of IWS showed a significant linear correlation with the soil volumetric moisture content (SWC) (R2 = 0.64–0.94). When the SWC increased by 1.00%, the soil weight increased by 56–62 g. Regarding plants, the IWS also clearly reflected the changes in plant weight gain, transpiration rate, and stomatal conductance at different growth stages. After verification, the relative errors of the transpiration rate and stomatal conductance measured by the IWS were −9.60–22.30% and −7.20–22.20%, respectively. Regarding the atmospheric environment, the variation trend of the crop evapotranspiration (ETc) based on the IWS and the reference crop evapotranspiration (ET0) calculated with meteorological parameters were consistent. However, the numerical difference was in the uncertainty of the crop coefficient (Kc). The ETc of lettuce under the 80% FC treatment was the highest. Accordingly, a daily online measurement method for Kc was established. The Kc values of lettuce at different growth stages were 0.88, 1.22, and 2.43, respectively. The growth, yield, and water use efficiency (WUE) of crops under 80% FC treatment compared with other treatments significantly increased by 11.07–21.05%, 0.91–9.89%, and 2.16–15.80%, respectively. Therefore, the 80% FC was adopted as the irrigation low limit of potted lettuce. The experimental results provide a theoretical basis for further guiding crop irrigation. |
doi_str_mv | 10.3390/w14040673 |
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Four types of irrigation treatments (90%, 80%, 70%, and 60% of field capacity (FC)) were conducted on lettuce (Lactuca sativa var. ramosa Hort.) for two-season planting experiments. Regarding the soil, the relative system weight of IWS showed a significant linear correlation with the soil volumetric moisture content (SWC) (R2 = 0.64–0.94). When the SWC increased by 1.00%, the soil weight increased by 56–62 g. Regarding plants, the IWS also clearly reflected the changes in plant weight gain, transpiration rate, and stomatal conductance at different growth stages. After verification, the relative errors of the transpiration rate and stomatal conductance measured by the IWS were −9.60–22.30% and −7.20–22.20%, respectively. Regarding the atmospheric environment, the variation trend of the crop evapotranspiration (ETc) based on the IWS and the reference crop evapotranspiration (ET0) calculated with meteorological parameters were consistent. However, the numerical difference was in the uncertainty of the crop coefficient (Kc). The ETc of lettuce under the 80% FC treatment was the highest. Accordingly, a daily online measurement method for Kc was established. The Kc values of lettuce at different growth stages were 0.88, 1.22, and 2.43, respectively. The growth, yield, and water use efficiency (WUE) of crops under 80% FC treatment compared with other treatments significantly increased by 11.07–21.05%, 0.91–9.89%, and 2.16–15.80%, respectively. Therefore, the 80% FC was adopted as the irrigation low limit of potted lettuce. The experimental results provide a theoretical basis for further guiding crop irrigation.</description><identifier>ISSN: 2073-4441</identifier><identifier>EISSN: 2073-4441</identifier><identifier>DOI: 10.3390/w14040673</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Accuracy ; Atmosphere ; China ; Conductance ; Crops ; Environmental monitoring ; Evapotranspiration ; Experiments ; Field capacity ; Humidity ; Irrigation ; Irrigation systems ; Laws, regulations and rules ; Lettuce ; Measurement methods ; Meteorological parameters ; Moisture content ; Sensors ; Soil analysis ; Soil dynamics ; Soil moisture ; Soil water ; Soils ; Stomata ; Stomatal conductance ; Temperature ; Transpiration ; Vegetables ; Water content ; Water treatment ; Water use ; Water use efficiency ; Weighing</subject><ispartof>Water (Basel), 2022-02, Vol.14 (4), p.673</ispartof><rights>COPYRIGHT 2022 MDPI AG</rights><rights>2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c331t-1c1f9966b393bece0611033458e44ca116bdfecba11faecea60416fce8058ede3</citedby><cites>FETCH-LOGICAL-c331t-1c1f9966b393bece0611033458e44ca116bdfecba11faecea60416fce8058ede3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2633203266/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2633203266?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>314,776,780,25731,27901,27902,36989,44566,74869</link.rule.ids></links><search><creatorcontrib>Gao, Hairong</creatorcontrib><creatorcontrib>Guo, Rui</creatorcontrib><creatorcontrib>Shi, Kaili</creatorcontrib><creatorcontrib>Yue, Huanfang</creatorcontrib><creatorcontrib>Zu, Shaoying</creatorcontrib><creatorcontrib>Li, Zhiwei</creatorcontrib><creatorcontrib>Zhang, Xin</creatorcontrib><title>Effect of Different Water Treatments in Soil-Plant-Atmosphere Continuum Based on Intelligent Weighing Systems</title><title>Water (Basel)</title><description>In order to meet the needs of dynamic continuous monitoring of soil-plant-atmosphere continuum (SPAC), a new soil, plant, atmosphere analysis system has been established based on an intelligent weighing system (IWS). Four types of irrigation treatments (90%, 80%, 70%, and 60% of field capacity (FC)) were conducted on lettuce (Lactuca sativa var. ramosa Hort.) for two-season planting experiments. Regarding the soil, the relative system weight of IWS showed a significant linear correlation with the soil volumetric moisture content (SWC) (R2 = 0.64–0.94). When the SWC increased by 1.00%, the soil weight increased by 56–62 g. Regarding plants, the IWS also clearly reflected the changes in plant weight gain, transpiration rate, and stomatal conductance at different growth stages. After verification, the relative errors of the transpiration rate and stomatal conductance measured by the IWS were −9.60–22.30% and −7.20–22.20%, respectively. Regarding the atmospheric environment, the variation trend of the crop evapotranspiration (ETc) based on the IWS and the reference crop evapotranspiration (ET0) calculated with meteorological parameters were consistent. However, the numerical difference was in the uncertainty of the crop coefficient (Kc). The ETc of lettuce under the 80% FC treatment was the highest. Accordingly, a daily online measurement method for Kc was established. The Kc values of lettuce at different growth stages were 0.88, 1.22, and 2.43, respectively. The growth, yield, and water use efficiency (WUE) of crops under 80% FC treatment compared with other treatments significantly increased by 11.07–21.05%, 0.91–9.89%, and 2.16–15.80%, respectively. Therefore, the 80% FC was adopted as the irrigation low limit of potted lettuce. The experimental results provide a theoretical basis for further guiding crop irrigation.</description><subject>Accuracy</subject><subject>Atmosphere</subject><subject>China</subject><subject>Conductance</subject><subject>Crops</subject><subject>Environmental monitoring</subject><subject>Evapotranspiration</subject><subject>Experiments</subject><subject>Field capacity</subject><subject>Humidity</subject><subject>Irrigation</subject><subject>Irrigation systems</subject><subject>Laws, regulations and rules</subject><subject>Lettuce</subject><subject>Measurement methods</subject><subject>Meteorological parameters</subject><subject>Moisture content</subject><subject>Sensors</subject><subject>Soil analysis</subject><subject>Soil dynamics</subject><subject>Soil moisture</subject><subject>Soil water</subject><subject>Soils</subject><subject>Stomata</subject><subject>Stomatal conductance</subject><subject>Temperature</subject><subject>Transpiration</subject><subject>Vegetables</subject><subject>Water content</subject><subject>Water treatment</subject><subject>Water use</subject><subject>Water use efficiency</subject><subject>Weighing</subject><issn>2073-4441</issn><issn>2073-4441</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><recordid>eNpNkU1LAzEQhoMoWGoP_oOAJw9bk02ado-1Vi0UFFrxuGSzk23KblKTLNJ_b7QiTg7zZuaZDxiErikZM1aQu0_KCSdiys7QICdTlnHO6fk_fYlGIexJMl7MZhMyQN1Sa1ARO40fTJIebMTvMoLHWw8ydukfsLF440ybvbbSxmweOxcOu8TihbPR2L7v8L0MUGNn8cpGaFvT_DQC0-yMbfDmGCJ04QpdaNkGGP36IXp7XG4Xz9n65Wm1mK8zxRiNGVVUF4UQFStYBQqIoJQwxicz4FxJSkVVp62rpLRMeSkIp0IrmJGE1MCG6ObU9-DdRw8hlnvXe5tGlrlgLCcsFyJR4xPVyBZKY7WLXqr0auiMcha0SfH5tEh0wThNBbenAuVdCB50efCmk_5YUlJ-X6D8uwD7Atd7eMM</recordid><startdate>20220201</startdate><enddate>20220201</enddate><creator>Gao, Hairong</creator><creator>Guo, Rui</creator><creator>Shi, Kaili</creator><creator>Yue, Huanfang</creator><creator>Zu, Shaoying</creator><creator>Li, Zhiwei</creator><creator>Zhang, Xin</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope></search><sort><creationdate>20220201</creationdate><title>Effect of Different Water Treatments in Soil-Plant-Atmosphere Continuum Based on Intelligent Weighing Systems</title><author>Gao, Hairong ; Guo, Rui ; Shi, Kaili ; Yue, Huanfang ; Zu, Shaoying ; Li, Zhiwei ; Zhang, Xin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c331t-1c1f9966b393bece0611033458e44ca116bdfecba11faecea60416fce8058ede3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Accuracy</topic><topic>Atmosphere</topic><topic>China</topic><topic>Conductance</topic><topic>Crops</topic><topic>Environmental monitoring</topic><topic>Evapotranspiration</topic><topic>Experiments</topic><topic>Field capacity</topic><topic>Humidity</topic><topic>Irrigation</topic><topic>Irrigation systems</topic><topic>Laws, regulations and rules</topic><topic>Lettuce</topic><topic>Measurement methods</topic><topic>Meteorological parameters</topic><topic>Moisture content</topic><topic>Sensors</topic><topic>Soil analysis</topic><topic>Soil dynamics</topic><topic>Soil moisture</topic><topic>Soil water</topic><topic>Soils</topic><topic>Stomata</topic><topic>Stomatal conductance</topic><topic>Temperature</topic><topic>Transpiration</topic><topic>Vegetables</topic><topic>Water content</topic><topic>Water treatment</topic><topic>Water use</topic><topic>Water use efficiency</topic><topic>Weighing</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gao, Hairong</creatorcontrib><creatorcontrib>Guo, Rui</creatorcontrib><creatorcontrib>Shi, Kaili</creatorcontrib><creatorcontrib>Yue, Huanfang</creatorcontrib><creatorcontrib>Zu, Shaoying</creatorcontrib><creatorcontrib>Li, Zhiwei</creatorcontrib><creatorcontrib>Zhang, Xin</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><jtitle>Water (Basel)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gao, Hairong</au><au>Guo, Rui</au><au>Shi, Kaili</au><au>Yue, Huanfang</au><au>Zu, Shaoying</au><au>Li, Zhiwei</au><au>Zhang, Xin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Effect of Different Water Treatments in Soil-Plant-Atmosphere Continuum Based on Intelligent Weighing Systems</atitle><jtitle>Water (Basel)</jtitle><date>2022-02-01</date><risdate>2022</risdate><volume>14</volume><issue>4</issue><spage>673</spage><pages>673-</pages><issn>2073-4441</issn><eissn>2073-4441</eissn><abstract>In order to meet the needs of dynamic continuous monitoring of soil-plant-atmosphere continuum (SPAC), a new soil, plant, atmosphere analysis system has been established based on an intelligent weighing system (IWS). Four types of irrigation treatments (90%, 80%, 70%, and 60% of field capacity (FC)) were conducted on lettuce (Lactuca sativa var. ramosa Hort.) for two-season planting experiments. Regarding the soil, the relative system weight of IWS showed a significant linear correlation with the soil volumetric moisture content (SWC) (R2 = 0.64–0.94). When the SWC increased by 1.00%, the soil weight increased by 56–62 g. Regarding plants, the IWS also clearly reflected the changes in plant weight gain, transpiration rate, and stomatal conductance at different growth stages. After verification, the relative errors of the transpiration rate and stomatal conductance measured by the IWS were −9.60–22.30% and −7.20–22.20%, respectively. Regarding the atmospheric environment, the variation trend of the crop evapotranspiration (ETc) based on the IWS and the reference crop evapotranspiration (ET0) calculated with meteorological parameters were consistent. However, the numerical difference was in the uncertainty of the crop coefficient (Kc). The ETc of lettuce under the 80% FC treatment was the highest. Accordingly, a daily online measurement method for Kc was established. The Kc values of lettuce at different growth stages were 0.88, 1.22, and 2.43, respectively. The growth, yield, and water use efficiency (WUE) of crops under 80% FC treatment compared with other treatments significantly increased by 11.07–21.05%, 0.91–9.89%, and 2.16–15.80%, respectively. Therefore, the 80% FC was adopted as the irrigation low limit of potted lettuce. The experimental results provide a theoretical basis for further guiding crop irrigation.</abstract><cop>Basel</cop><pub>MDPI AG</pub><doi>10.3390/w14040673</doi><oa>free_for_read</oa></addata></record> |
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subjects | Accuracy Atmosphere China Conductance Crops Environmental monitoring Evapotranspiration Experiments Field capacity Humidity Irrigation Irrigation systems Laws, regulations and rules Lettuce Measurement methods Meteorological parameters Moisture content Sensors Soil analysis Soil dynamics Soil moisture Soil water Soils Stomata Stomatal conductance Temperature Transpiration Vegetables Water content Water treatment Water use Water use efficiency Weighing |
title | Effect of Different Water Treatments in Soil-Plant-Atmosphere Continuum Based on Intelligent Weighing Systems |
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