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Variable-rate nitrogen fertilization of winter wheat under high spatial resolution
Variable-rate application (VRA) addresses in-field variation in soil nitrogen (N) availability and crop response, and as such is a tool for more effective site-specific management. This study assessed the performance of a VRA system for on-the-go delivery of granular fertilizer in 7-m wide and 200-m...
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Published in: | Precision agriculture 2018-06, Vol.19 (3), p.570-587 |
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creator | Stamatiadis, S. Schepers, J. S. Evangelou, E. Tsadilas, C. Glampedakis, A. Glampedakis, M. Dercas, N. Spyropoulos, N. Dalezios, N. R. Eskridge, K. |
description | Variable-rate application (VRA) addresses in-field variation in soil nitrogen (N) availability and crop response, and as such is a tool for more effective site-specific management. This study assessed the performance of a VRA system for on-the-go delivery of granular fertilizer in 7-m wide and 200-m long strips of a 2.4-ha wheat field. A randomized complete block design consisted of three treatment strips (a preplant uniform application of 100 kg N/ha, a preplant + in-season uniform farmer rate of 212 kg N/ha and a preplant + in-season VRA) within four blocks. The VRA prototype consisted of Crop Circle ACS-430 active canopy sensors, a GeoScout X data logger that processed the geospatial data to convey a real-time N rate signal (1 Hz) to a Gandy Orbit Air 66FSC spreader through a Raven SCS 660 controller. Crop monitoring included analysis of in-season soil and plant samples, water balance and grain yield. VRA delivered an economic optimum N rate using 72% less in-season N or 38% less total N (131 kg N/ha) than that applied by the farmer (212 kg N/ha). The reduction of total N inputs came about without any yield losses and translated to 58% N-use efficiency in comparison to 44% of the farmer practice and 52% of the preplant control. VRA also provided a much higher revenue over fertilizer costs, €68/ha and €118/ha higher than the preplant control and the farmer practice, respectively. The return of VRA per unit of N was equal to that of the large preplant application due to low leaching losses. Overall, the high-resolution VRA was superior in terms of environmental benefits and profitability with the least uncertainty to the farmer. |
doi_str_mv | 10.1007/s11119-017-9540-7 |
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S. ; Evangelou, E. ; Tsadilas, C. ; Glampedakis, A. ; Glampedakis, M. ; Dercas, N. ; Spyropoulos, N. ; Dalezios, N. R. ; Eskridge, K.</creator><creatorcontrib>Stamatiadis, S. ; Schepers, J. S. ; Evangelou, E. ; Tsadilas, C. ; Glampedakis, A. ; Glampedakis, M. ; Dercas, N. ; Spyropoulos, N. ; Dalezios, N. R. ; Eskridge, K.</creatorcontrib><description>Variable-rate application (VRA) addresses in-field variation in soil nitrogen (N) availability and crop response, and as such is a tool for more effective site-specific management. This study assessed the performance of a VRA system for on-the-go delivery of granular fertilizer in 7-m wide and 200-m long strips of a 2.4-ha wheat field. A randomized complete block design consisted of three treatment strips (a preplant uniform application of 100 kg N/ha, a preplant + in-season uniform farmer rate of 212 kg N/ha and a preplant + in-season VRA) within four blocks. The VRA prototype consisted of Crop Circle ACS-430 active canopy sensors, a GeoScout X data logger that processed the geospatial data to convey a real-time N rate signal (1 Hz) to a Gandy Orbit Air 66FSC spreader through a Raven SCS 660 controller. Crop monitoring included analysis of in-season soil and plant samples, water balance and grain yield. VRA delivered an economic optimum N rate using 72% less in-season N or 38% less total N (131 kg N/ha) than that applied by the farmer (212 kg N/ha). The reduction of total N inputs came about without any yield losses and translated to 58% N-use efficiency in comparison to 44% of the farmer practice and 52% of the preplant control. VRA also provided a much higher revenue over fertilizer costs, €68/ha and €118/ha higher than the preplant control and the farmer practice, respectively. The return of VRA per unit of N was equal to that of the large preplant application due to low leaching losses. Overall, the high-resolution VRA was superior in terms of environmental benefits and profitability with the least uncertainty to the farmer.</description><identifier>ISSN: 1385-2256</identifier><identifier>EISSN: 1573-1618</identifier><identifier>DOI: 10.1007/s11119-017-9540-7</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Agricultural practices ; Agricultural production ; Agriculture ; Atmospheric Sciences ; Biomedical and Life Sciences ; Chemistry and Earth Sciences ; Computer Science ; Crop yield ; Crops ; Data processing ; Economics ; Environmental impact ; Farmers ; Fertilization ; Fertilizers ; Grain ; Leaching ; Life Sciences ; Nitrogen ; Performance assessment ; Physics ; Precipitation ; Profitability ; Remote Sensing/Photogrammetry ; Seasons ; Sensors ; Signal processing ; Soil analysis ; Soil Science & Conservation ; Soil water ; Spatial data ; Spatial discrimination ; Spatial resolution ; Statistics for Engineering ; Triticum aestivum ; Water balance ; Wheat ; Winter ; Winter wheat</subject><ispartof>Precision agriculture, 2018-06, Vol.19 (3), p.570-587</ispartof><rights>Springer Science+Business Media, LLC 2017</rights><rights>Precision Agriculture is a copyright of Springer, (2017). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c316t-3a47d864775012aa4eb51504fba0c5f03ae08b4d8607dcf46c2c4fc5bfa5eb6f3</citedby><cites>FETCH-LOGICAL-c316t-3a47d864775012aa4eb51504fba0c5f03ae08b4d8607dcf46c2c4fc5bfa5eb6f3</cites><orcidid>0000-0001-7286-4105</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2031667976/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$H</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2031667976?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,780,784,11688,27924,27925,36060,44363,74895</link.rule.ids></links><search><creatorcontrib>Stamatiadis, S.</creatorcontrib><creatorcontrib>Schepers, J. S.</creatorcontrib><creatorcontrib>Evangelou, E.</creatorcontrib><creatorcontrib>Tsadilas, C.</creatorcontrib><creatorcontrib>Glampedakis, A.</creatorcontrib><creatorcontrib>Glampedakis, M.</creatorcontrib><creatorcontrib>Dercas, N.</creatorcontrib><creatorcontrib>Spyropoulos, N.</creatorcontrib><creatorcontrib>Dalezios, N. R.</creatorcontrib><creatorcontrib>Eskridge, K.</creatorcontrib><title>Variable-rate nitrogen fertilization of winter wheat under high spatial resolution</title><title>Precision agriculture</title><addtitle>Precision Agric</addtitle><description>Variable-rate application (VRA) addresses in-field variation in soil nitrogen (N) availability and crop response, and as such is a tool for more effective site-specific management. This study assessed the performance of a VRA system for on-the-go delivery of granular fertilizer in 7-m wide and 200-m long strips of a 2.4-ha wheat field. A randomized complete block design consisted of three treatment strips (a preplant uniform application of 100 kg N/ha, a preplant + in-season uniform farmer rate of 212 kg N/ha and a preplant + in-season VRA) within four blocks. The VRA prototype consisted of Crop Circle ACS-430 active canopy sensors, a GeoScout X data logger that processed the geospatial data to convey a real-time N rate signal (1 Hz) to a Gandy Orbit Air 66FSC spreader through a Raven SCS 660 controller. Crop monitoring included analysis of in-season soil and plant samples, water balance and grain yield. VRA delivered an economic optimum N rate using 72% less in-season N or 38% less total N (131 kg N/ha) than that applied by the farmer (212 kg N/ha). The reduction of total N inputs came about without any yield losses and translated to 58% N-use efficiency in comparison to 44% of the farmer practice and 52% of the preplant control. 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S.</au><au>Evangelou, E.</au><au>Tsadilas, C.</au><au>Glampedakis, A.</au><au>Glampedakis, M.</au><au>Dercas, N.</au><au>Spyropoulos, N.</au><au>Dalezios, N. R.</au><au>Eskridge, K.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Variable-rate nitrogen fertilization of winter wheat under high spatial resolution</atitle><jtitle>Precision agriculture</jtitle><stitle>Precision Agric</stitle><date>2018-06-01</date><risdate>2018</risdate><volume>19</volume><issue>3</issue><spage>570</spage><epage>587</epage><pages>570-587</pages><issn>1385-2256</issn><eissn>1573-1618</eissn><abstract>Variable-rate application (VRA) addresses in-field variation in soil nitrogen (N) availability and crop response, and as such is a tool for more effective site-specific management. This study assessed the performance of a VRA system for on-the-go delivery of granular fertilizer in 7-m wide and 200-m long strips of a 2.4-ha wheat field. A randomized complete block design consisted of three treatment strips (a preplant uniform application of 100 kg N/ha, a preplant + in-season uniform farmer rate of 212 kg N/ha and a preplant + in-season VRA) within four blocks. The VRA prototype consisted of Crop Circle ACS-430 active canopy sensors, a GeoScout X data logger that processed the geospatial data to convey a real-time N rate signal (1 Hz) to a Gandy Orbit Air 66FSC spreader through a Raven SCS 660 controller. Crop monitoring included analysis of in-season soil and plant samples, water balance and grain yield. VRA delivered an economic optimum N rate using 72% less in-season N or 38% less total N (131 kg N/ha) than that applied by the farmer (212 kg N/ha). The reduction of total N inputs came about without any yield losses and translated to 58% N-use efficiency in comparison to 44% of the farmer practice and 52% of the preplant control. VRA also provided a much higher revenue over fertilizer costs, €68/ha and €118/ha higher than the preplant control and the farmer practice, respectively. The return of VRA per unit of N was equal to that of the large preplant application due to low leaching losses. Overall, the high-resolution VRA was superior in terms of environmental benefits and profitability with the least uncertainty to the farmer.</abstract><cop>New York</cop><pub>Springer US</pub><doi>10.1007/s11119-017-9540-7</doi><tpages>18</tpages><orcidid>https://orcid.org/0000-0001-7286-4105</orcidid></addata></record> |
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subjects | Agricultural practices Agricultural production Agriculture Atmospheric Sciences Biomedical and Life Sciences Chemistry and Earth Sciences Computer Science Crop yield Crops Data processing Economics Environmental impact Farmers Fertilization Fertilizers Grain Leaching Life Sciences Nitrogen Performance assessment Physics Precipitation Profitability Remote Sensing/Photogrammetry Seasons Sensors Signal processing Soil analysis Soil Science & Conservation Soil water Spatial data Spatial discrimination Spatial resolution Statistics for Engineering Triticum aestivum Water balance Wheat Winter Winter wheat |
title | Variable-rate nitrogen fertilization of winter wheat under high spatial resolution |
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