Estimating nitrogen fertilizer requirements of canola (Brassica napus L.) using sensor-based estimates of yield potential and crop response to nitrogen
The feasibility of using optical sensors and non-nitrogen limiting reference crops to determine post-emergent nitrogen fertilizer requirements of canola was evaluated. Normalized difference vegetation index was well suited for estimating yield potential and nitrogen status. Although sensor-based n...
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ndltd-LACETR-oai-collectionscanada.gc.ca-MWU.1993-29962014-03-29T03:42:25Z Estimating nitrogen fertilizer requirements of canola (Brassica napus L.) using sensor-based estimates of yield potential and crop response to nitrogen Holzapfel, Christopher Brian Bullock, Paul (Soil Science) Lafond, Guy (Agriculture and Agri-Food Canada, Adjunct, Soil Science) Flaten, Don (Soil Science) Martens, Gary (Plant Science) nitrogen use-efficiency NDVI post-emergent variable rate normalized difference vegetation index precision agriculture The feasibility of using optical sensors and non-nitrogen limiting reference crops to determine post-emergent nitrogen fertilizer requirements of canola was evaluated. Normalized difference vegetation index was well suited for estimating yield potential and nitrogen status. Although sensor-based nitrogen management was generally agronomically feasible for canola, the economic benefits of doing so remain uncertain because of the added cost of applying post-emergent nitrogen. 2008-01-18T15:05:00Z 2008-01-18T15:05:00Z 2008-01-18T15:05:00Z http://hdl.handle.net/1993/2996 en_US |
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en_US |
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nitrogen use-efficiency NDVI post-emergent variable rate normalized difference vegetation index precision agriculture |
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nitrogen use-efficiency NDVI post-emergent variable rate normalized difference vegetation index precision agriculture Holzapfel, Christopher Brian Estimating nitrogen fertilizer requirements of canola (Brassica napus L.) using sensor-based estimates of yield potential and crop response to nitrogen |
description |
The feasibility of using optical sensors and non-nitrogen limiting reference crops to determine post-emergent nitrogen fertilizer requirements of canola was evaluated. Normalized difference vegetation index was well suited for estimating yield potential and nitrogen status. Although sensor-based nitrogen management was generally agronomically feasible for canola, the economic benefits of doing so remain uncertain because of the added cost of applying post-emergent nitrogen. |
author2 |
Bullock, Paul (Soil Science) Lafond, Guy (Agriculture and Agri-Food Canada, Adjunct, Soil Science) |
author_facet |
Bullock, Paul (Soil Science) Lafond, Guy (Agriculture and Agri-Food Canada, Adjunct, Soil Science) Holzapfel, Christopher Brian |
author |
Holzapfel, Christopher Brian |
author_sort |
Holzapfel, Christopher Brian |
title |
Estimating nitrogen fertilizer requirements of canola (Brassica napus L.) using sensor-based estimates of yield potential and crop response to nitrogen |
title_short |
Estimating nitrogen fertilizer requirements of canola (Brassica napus L.) using sensor-based estimates of yield potential and crop response to nitrogen |
title_full |
Estimating nitrogen fertilizer requirements of canola (Brassica napus L.) using sensor-based estimates of yield potential and crop response to nitrogen |
title_fullStr |
Estimating nitrogen fertilizer requirements of canola (Brassica napus L.) using sensor-based estimates of yield potential and crop response to nitrogen |
title_full_unstemmed |
Estimating nitrogen fertilizer requirements of canola (Brassica napus L.) using sensor-based estimates of yield potential and crop response to nitrogen |
title_sort |
estimating nitrogen fertilizer requirements of canola (brassica napus l.) using sensor-based estimates of yield potential and crop response to nitrogen |
publishDate |
2008 |
url |
http://hdl.handle.net/1993/2996 |
work_keys_str_mv |
AT holzapfelchristopherbrian estimatingnitrogenfertilizerrequirementsofcanolabrassicanapuslusingsensorbasedestimatesofyieldpotentialandcropresponsetonitrogen |
_version_ |
1716657848222482432 |