Loading…

Crop Sensor-Based In-Season Nitrogen Management of Wheat with Manure Application

It is difficult to predict the crop-available nitrogen (N) from farmyard manures applied to soil. The aim of this study was to assess the usefulness of the proximal sensors, Yara N-TesterTM and RapidScan CS-45, for diagnosing the N nutritional status of wheat after the application of manures at sowi...

Full description

Saved in:
Bibliographic Details
Published in:Remote sensing (Basel, Switzerland) Switzerland), 2019-05, Vol.11 (9), p.1094
Main Authors: Aranguren, Marta, Castellón, Ander, Aizpurua, Ana
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c361t-7d596e5f2cb562860df12b475d701dd11de9ae3c14111067a23a6d51ee303d453
cites cdi_FETCH-LOGICAL-c361t-7d596e5f2cb562860df12b475d701dd11de9ae3c14111067a23a6d51ee303d453
container_end_page
container_issue 9
container_start_page 1094
container_title Remote sensing (Basel, Switzerland)
container_volume 11
creator Aranguren, Marta
Castellón, Ander
Aizpurua, Ana
description It is difficult to predict the crop-available nitrogen (N) from farmyard manures applied to soil. The aim of this study was to assess the usefulness of the proximal sensors, Yara N-TesterTM and RapidScan CS-45, for diagnosing the N nutritional status of wheat after the application of manures at sowing. Three annual field trials were established (2014–2015, 2015–2016 and 2016–2017) with three types of fertilizer treatments: dairy slurry (40 t ha−1 before sowing), sheep manure (40 t ha−1 before sowing) and conventional treatment (40 kg N ha−1 at tillering). For each treatment, five different mineral N fertilization doses were applied at stem elongation: 0, 40, 80, 120, and 160 kg N ha−1. The proximal sensing tools were used at stem elongation before the application of mineral N. Normalized values of the proximal sensing look promising for adjusting mineral N application rates at stem elongation. For dairy slurry, when either proximal sensor readings were 60–65% of the reference plants with non-limiting N, the optimum N rate for maximizing yield was 118–128 kg N ha−1. When the readings were 85–90%, the optimum N rate dropped to 100–110 kg N ha−1 for both dairy slurry and conventional treatments. It was difficult to find a clear relationship between sensor readings and yield for sheep manure treatments. Measurements taken with RapidScan C-45 were less time consuming and better represent the spatial variation, as they are taken on the plant canopy. Routine measurements throughout the growing season are particularly needed in climates with variable rainfall. The application of 40 kg N ha−1 at the end of winter is necessary to ensure an optimal N status from the beginning of wheat crop development. These research findings could be used in applicator-mounted sensors to make variable-rate N applications.
doi_str_mv 10.3390/rs11091094
format article
fullrecord <record><control><sourceid>proquest_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_c92bfe00188c4a5b898ae72f1db6f149</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><doaj_id>oai_doaj_org_article_c92bfe00188c4a5b898ae72f1db6f149</doaj_id><sourcerecordid>2304038520</sourcerecordid><originalsourceid>FETCH-LOGICAL-c361t-7d596e5f2cb562860df12b475d701dd11de9ae3c14111067a23a6d51ee303d453</originalsourceid><addsrcrecordid>eNpNUdtKAzEQXUTBon3xCwK-Cau57m4ea_FS8AZVfAzZZNJuaZM1SRH_3tWKOgzMMHM4Z4ZTFCcEnzMm8UVMhGA5JN8rRhTXtORU0v1__WExTmmFh2CMSMxHxdM0hh7NwacQy0udwKKZL-egU_DoocsxLMCje-31AjbgMwoOvS5BZ_Te5eXXYhsBTfp-3Rmdu-CPiwOn1wnGP_WoeLm-ep7elnePN7Pp5K40rCK5rK2QFQhHTSsq2lTYOkJbXgtbY2ItIRakBmYIJ8NTVa0p05UVBIBhZrlgR8Vsx2uDXqk-dhsdP1TQnfoehLhQOubOrEEZSVsHGJOmMVyLtpGNhpo6YtvKES4HrtMdVx_D2xZSVquwjX44X1GGOWaNoHhAne1QJoaUIrhfVYLVlwHqzwD2Cfgpdg0</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2304038520</pqid></control><display><type>article</type><title>Crop Sensor-Based In-Season Nitrogen Management of Wheat with Manure Application</title><source>Publicly Available Content Database (Proquest) (PQ_SDU_P3)</source><creator>Aranguren, Marta ; Castellón, Ander ; Aizpurua, Ana</creator><creatorcontrib>Aranguren, Marta ; Castellón, Ander ; Aizpurua, Ana</creatorcontrib><description>It is difficult to predict the crop-available nitrogen (N) from farmyard manures applied to soil. The aim of this study was to assess the usefulness of the proximal sensors, Yara N-TesterTM and RapidScan CS-45, for diagnosing the N nutritional status of wheat after the application of manures at sowing. Three annual field trials were established (2014–2015, 2015–2016 and 2016–2017) with three types of fertilizer treatments: dairy slurry (40 t ha−1 before sowing), sheep manure (40 t ha−1 before sowing) and conventional treatment (40 kg N ha−1 at tillering). For each treatment, five different mineral N fertilization doses were applied at stem elongation: 0, 40, 80, 120, and 160 kg N ha−1. The proximal sensing tools were used at stem elongation before the application of mineral N. Normalized values of the proximal sensing look promising for adjusting mineral N application rates at stem elongation. For dairy slurry, when either proximal sensor readings were 60–65% of the reference plants with non-limiting N, the optimum N rate for maximizing yield was 118–128 kg N ha−1. When the readings were 85–90%, the optimum N rate dropped to 100–110 kg N ha−1 for both dairy slurry and conventional treatments. It was difficult to find a clear relationship between sensor readings and yield for sheep manure treatments. Measurements taken with RapidScan C-45 were less time consuming and better represent the spatial variation, as they are taken on the plant canopy. Routine measurements throughout the growing season are particularly needed in climates with variable rainfall. The application of 40 kg N ha−1 at the end of winter is necessary to ensure an optimal N status from the beginning of wheat crop development. These research findings could be used in applicator-mounted sensors to make variable-rate N applications.</description><identifier>ISSN: 2072-4292</identifier><identifier>EISSN: 2072-4292</identifier><identifier>DOI: 10.3390/rs11091094</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Agricultural production ; canopy reflectance sensing ; Cereal crops ; Cereals ; Chlorophyll ; chlorophyll meter ; Crop development ; Crops ; Elongation ; farmyard manures ; Fertilization ; Fertilizers ; Growing season ; Hydroxyapatite ; Manures ; Mineralization ; N mineralization ; NDRE ; NDVI ; Nitrogen ; NNI ; Nutritional status ; Optimization ; precision N fertilization ; Rainfall ; Remote sensing ; Sensors ; Sheep ; Sheep manure ; Slurries ; Triticum aestivum ; Wheat ; Winter</subject><ispartof>Remote sensing (Basel, Switzerland), 2019-05, Vol.11 (9), p.1094</ispartof><rights>2019. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). 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-c361t-7d596e5f2cb562860df12b475d701dd11de9ae3c14111067a23a6d51ee303d453</citedby><cites>FETCH-LOGICAL-c361t-7d596e5f2cb562860df12b475d701dd11de9ae3c14111067a23a6d51ee303d453</cites><orcidid>0000-0002-4791-4788 ; 0000-0002-9626-2544</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2304038520/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2304038520?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,25751,27922,27923,37010,44588,74896</link.rule.ids></links><search><creatorcontrib>Aranguren, Marta</creatorcontrib><creatorcontrib>Castellón, Ander</creatorcontrib><creatorcontrib>Aizpurua, Ana</creatorcontrib><title>Crop Sensor-Based In-Season Nitrogen Management of Wheat with Manure Application</title><title>Remote sensing (Basel, Switzerland)</title><description>It is difficult to predict the crop-available nitrogen (N) from farmyard manures applied to soil. The aim of this study was to assess the usefulness of the proximal sensors, Yara N-TesterTM and RapidScan CS-45, for diagnosing the N nutritional status of wheat after the application of manures at sowing. Three annual field trials were established (2014–2015, 2015–2016 and 2016–2017) with three types of fertilizer treatments: dairy slurry (40 t ha−1 before sowing), sheep manure (40 t ha−1 before sowing) and conventional treatment (40 kg N ha−1 at tillering). For each treatment, five different mineral N fertilization doses were applied at stem elongation: 0, 40, 80, 120, and 160 kg N ha−1. The proximal sensing tools were used at stem elongation before the application of mineral N. Normalized values of the proximal sensing look promising for adjusting mineral N application rates at stem elongation. For dairy slurry, when either proximal sensor readings were 60–65% of the reference plants with non-limiting N, the optimum N rate for maximizing yield was 118–128 kg N ha−1. When the readings were 85–90%, the optimum N rate dropped to 100–110 kg N ha−1 for both dairy slurry and conventional treatments. It was difficult to find a clear relationship between sensor readings and yield for sheep manure treatments. Measurements taken with RapidScan C-45 were less time consuming and better represent the spatial variation, as they are taken on the plant canopy. Routine measurements throughout the growing season are particularly needed in climates with variable rainfall. The application of 40 kg N ha−1 at the end of winter is necessary to ensure an optimal N status from the beginning of wheat crop development. These research findings could be used in applicator-mounted sensors to make variable-rate N applications.</description><subject>Agricultural production</subject><subject>canopy reflectance sensing</subject><subject>Cereal crops</subject><subject>Cereals</subject><subject>Chlorophyll</subject><subject>chlorophyll meter</subject><subject>Crop development</subject><subject>Crops</subject><subject>Elongation</subject><subject>farmyard manures</subject><subject>Fertilization</subject><subject>Fertilizers</subject><subject>Growing season</subject><subject>Hydroxyapatite</subject><subject>Manures</subject><subject>Mineralization</subject><subject>N mineralization</subject><subject>NDRE</subject><subject>NDVI</subject><subject>Nitrogen</subject><subject>NNI</subject><subject>Nutritional status</subject><subject>Optimization</subject><subject>precision N fertilization</subject><subject>Rainfall</subject><subject>Remote sensing</subject><subject>Sensors</subject><subject>Sheep</subject><subject>Sheep manure</subject><subject>Slurries</subject><subject>Triticum aestivum</subject><subject>Wheat</subject><subject>Winter</subject><issn>2072-4292</issn><issn>2072-4292</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNpNUdtKAzEQXUTBon3xCwK-Cau57m4ea_FS8AZVfAzZZNJuaZM1SRH_3tWKOgzMMHM4Z4ZTFCcEnzMm8UVMhGA5JN8rRhTXtORU0v1__WExTmmFh2CMSMxHxdM0hh7NwacQy0udwKKZL-egU_DoocsxLMCje-31AjbgMwoOvS5BZ_Te5eXXYhsBTfp-3Rmdu-CPiwOn1wnGP_WoeLm-ep7elnePN7Pp5K40rCK5rK2QFQhHTSsq2lTYOkJbXgtbY2ItIRakBmYIJ8NTVa0p05UVBIBhZrlgR8Vsx2uDXqk-dhsdP1TQnfoehLhQOubOrEEZSVsHGJOmMVyLtpGNhpo6YtvKES4HrtMdVx_D2xZSVquwjX44X1GGOWaNoHhAne1QJoaUIrhfVYLVlwHqzwD2Cfgpdg0</recordid><startdate>20190501</startdate><enddate>20190501</enddate><creator>Aranguren, Marta</creator><creator>Castellón, Ander</creator><creator>Aizpurua, Ana</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QF</scope><scope>7QO</scope><scope>7QQ</scope><scope>7QR</scope><scope>7SC</scope><scope>7SE</scope><scope>7SN</scope><scope>7SP</scope><scope>7SR</scope><scope>7TA</scope><scope>7TB</scope><scope>7U5</scope><scope>8BQ</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F28</scope><scope>FR3</scope><scope>H8D</scope><scope>H8G</scope><scope>HCIFZ</scope><scope>JG9</scope><scope>JQ2</scope><scope>KR7</scope><scope>L6V</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>M7S</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PCBAR</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-4791-4788</orcidid><orcidid>https://orcid.org/0000-0002-9626-2544</orcidid></search><sort><creationdate>20190501</creationdate><title>Crop Sensor-Based In-Season Nitrogen Management of Wheat with Manure Application</title><author>Aranguren, Marta ; Castellón, Ander ; Aizpurua, Ana</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c361t-7d596e5f2cb562860df12b475d701dd11de9ae3c14111067a23a6d51ee303d453</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Agricultural production</topic><topic>canopy reflectance sensing</topic><topic>Cereal crops</topic><topic>Cereals</topic><topic>Chlorophyll</topic><topic>chlorophyll meter</topic><topic>Crop development</topic><topic>Crops</topic><topic>Elongation</topic><topic>farmyard manures</topic><topic>Fertilization</topic><topic>Fertilizers</topic><topic>Growing season</topic><topic>Hydroxyapatite</topic><topic>Manures</topic><topic>Mineralization</topic><topic>N mineralization</topic><topic>NDRE</topic><topic>NDVI</topic><topic>Nitrogen</topic><topic>NNI</topic><topic>Nutritional status</topic><topic>Optimization</topic><topic>precision N fertilization</topic><topic>Rainfall</topic><topic>Remote sensing</topic><topic>Sensors</topic><topic>Sheep</topic><topic>Sheep manure</topic><topic>Slurries</topic><topic>Triticum aestivum</topic><topic>Wheat</topic><topic>Winter</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Aranguren, Marta</creatorcontrib><creatorcontrib>Castellón, Ander</creatorcontrib><creatorcontrib>Aizpurua, Ana</creatorcontrib><collection>CrossRef</collection><collection>Aluminium Industry Abstracts</collection><collection>Biotechnology Research Abstracts</collection><collection>Ceramic Abstracts</collection><collection>Chemoreception Abstracts</collection><collection>Computer and Information Systems Abstracts</collection><collection>Corrosion Abstracts</collection><collection>Ecology Abstracts</collection><collection>Electronics &amp; Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Materials Business File</collection><collection>Mechanical &amp; Transportation Engineering Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science &amp; Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Advanced Technologies &amp; Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Earth, Atmospheric &amp; Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>ANTE: Abstracts in New Technology &amp; Engineering</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Copper Technical Reference Library</collection><collection>SciTech Premium Collection (Proquest) (PQ_SDU_P3)</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>ProQuest Engineering Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts – Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Engineering Database</collection><collection>ProQuest advanced technologies &amp; aerospace journals</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Earth, Atmospheric &amp; Aquatic Science Database</collection><collection>Publicly Available Content Database (Proquest) (PQ_SDU_P3)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering collection</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Remote sensing (Basel, Switzerland)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Aranguren, Marta</au><au>Castellón, Ander</au><au>Aizpurua, Ana</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Crop Sensor-Based In-Season Nitrogen Management of Wheat with Manure Application</atitle><jtitle>Remote sensing (Basel, Switzerland)</jtitle><date>2019-05-01</date><risdate>2019</risdate><volume>11</volume><issue>9</issue><spage>1094</spage><pages>1094-</pages><issn>2072-4292</issn><eissn>2072-4292</eissn><abstract>It is difficult to predict the crop-available nitrogen (N) from farmyard manures applied to soil. The aim of this study was to assess the usefulness of the proximal sensors, Yara N-TesterTM and RapidScan CS-45, for diagnosing the N nutritional status of wheat after the application of manures at sowing. Three annual field trials were established (2014–2015, 2015–2016 and 2016–2017) with three types of fertilizer treatments: dairy slurry (40 t ha−1 before sowing), sheep manure (40 t ha−1 before sowing) and conventional treatment (40 kg N ha−1 at tillering). For each treatment, five different mineral N fertilization doses were applied at stem elongation: 0, 40, 80, 120, and 160 kg N ha−1. The proximal sensing tools were used at stem elongation before the application of mineral N. Normalized values of the proximal sensing look promising for adjusting mineral N application rates at stem elongation. For dairy slurry, when either proximal sensor readings were 60–65% of the reference plants with non-limiting N, the optimum N rate for maximizing yield was 118–128 kg N ha−1. When the readings were 85–90%, the optimum N rate dropped to 100–110 kg N ha−1 for both dairy slurry and conventional treatments. It was difficult to find a clear relationship between sensor readings and yield for sheep manure treatments. Measurements taken with RapidScan C-45 were less time consuming and better represent the spatial variation, as they are taken on the plant canopy. Routine measurements throughout the growing season are particularly needed in climates with variable rainfall. The application of 40 kg N ha−1 at the end of winter is necessary to ensure an optimal N status from the beginning of wheat crop development. These research findings could be used in applicator-mounted sensors to make variable-rate N applications.</abstract><cop>Basel</cop><pub>MDPI AG</pub><doi>10.3390/rs11091094</doi><orcidid>https://orcid.org/0000-0002-4791-4788</orcidid><orcidid>https://orcid.org/0000-0002-9626-2544</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 2072-4292
ispartof Remote sensing (Basel, Switzerland), 2019-05, Vol.11 (9), p.1094
issn 2072-4292
2072-4292
language eng
recordid cdi_doaj_primary_oai_doaj_org_article_c92bfe00188c4a5b898ae72f1db6f149
source Publicly Available Content Database (Proquest) (PQ_SDU_P3)
subjects Agricultural production
canopy reflectance sensing
Cereal crops
Cereals
Chlorophyll
chlorophyll meter
Crop development
Crops
Elongation
farmyard manures
Fertilization
Fertilizers
Growing season
Hydroxyapatite
Manures
Mineralization
N mineralization
NDRE
NDVI
Nitrogen
NNI
Nutritional status
Optimization
precision N fertilization
Rainfall
Remote sensing
Sensors
Sheep
Sheep manure
Slurries
Triticum aestivum
Wheat
Winter
title Crop Sensor-Based In-Season Nitrogen Management of Wheat with Manure Application
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-09T14%3A26%3A59IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Crop%20Sensor-Based%20In-Season%20Nitrogen%20Management%20of%20Wheat%20with%20Manure%20Application&rft.jtitle=Remote%20sensing%20(Basel,%20Switzerland)&rft.au=Aranguren,%20Marta&rft.date=2019-05-01&rft.volume=11&rft.issue=9&rft.spage=1094&rft.pages=1094-&rft.issn=2072-4292&rft.eissn=2072-4292&rft_id=info:doi/10.3390/rs11091094&rft_dat=%3Cproquest_doaj_%3E2304038520%3C/proquest_doaj_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c361t-7d596e5f2cb562860df12b475d701dd11de9ae3c14111067a23a6d51ee303d453%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2304038520&rft_id=info:pmid/&rfr_iscdi=true