Matches in SemOpenAlex for { <https://semopenalex.org/work/W1978148487> ?p ?o ?g. }
- W1978148487 endingPage "99" @default.
- W1978148487 startingPage "85" @default.
- W1978148487 abstract "Improved nitrogen management is one of the main challenges of precision agriculture. We need to apply nitrogen rates customized to fit local crop needs. The response of corn (Zea mays L.) to two rates of nitrogen, representative of the range used in variable nitrogen application, was assessed over a growing season by means of micrometeorological and hyperspectral reflectance techniques. The experimental field, which was located near Ottawa, Ont., Canada, was ploughed in early May and fertilized in mid-May. Most of the field area (23.7 ha) received the recommended nitrogen rate of 155 kg N ha−1. A sub-optimal rate of 99 kg N ha−1 was applied on 3.7 ha and a low rate of 17 kg N ha−1 was applied on 2.6 ha. The field was tile-drained and was not irrigated. The vertical flux densities of water vapour and CO2 were measured in the 99N and 155N areas throughout the growing season using two eddy-covariance measurement systems. Hyperspectral reflectance was measured in the three areas, and the temporal variability in the water band index (WBI) is reported. The 1998 growing season was characterized by precipitation that was above normal in June but with rainfall deficits in July and August. The eddy-covariance measurements showed that maximum evapotranspiration occurred earlier than maximum net CO2 uptake in the corn canopy. For leaf area index (LAI) greater than 1, corn in the 155N area had a water use efficiency (WUE), defined as the ratio of daily net crop CO2 uptake to evapotranspiration, of 18.9 g CO2 kg−1 H2O compared to 20.4 g CO2 kg−1 H2O for the 99N area. Greater evapotranspiration, related to faster leaf expansion in the 155N area, was mainly responsible for the lower efficiency. Total biomass accumulation, calculated using eddy-covariance and soil chamber CO2 fluxes, was generally similar for the 99N and 155N application rates, with values of 2211 and 2183 g dry matter m−2, respectively. As well, harvest yields were similar for the 155N and 99N areas with dry grain yields of 0.85 and 0.83 kg m−2, respectively. Yield of the 17N area was 0.80 kg m−2. Spatial yield variability decreased with higher N application rates. Corn in the 155N area was more affected by water deficit during the active growing period than corn in the 99N area. This was also supported by the WBI results. The recommended rate of nitrogen application did not induce an economically significant increase in grain yield, because of the rainfall deficit in July and August. This experiment shows that tools for assisting producers in making management decisions regarding nitrogen application rates need to include a weather component. Such tools will improve the sustainability of nitrogen management." @default.
- W1978148487 created "2016-06-24" @default.
- W1978148487 creator A5007766285 @default.
- W1978148487 creator A5028111953 @default.
- W1978148487 creator A5043635136 @default.
- W1978148487 creator A5043804199 @default.
- W1978148487 creator A5078840056 @default.
- W1978148487 date "2001-06-01" @default.
- W1978148487 modified "2023-10-06" @default.
- W1978148487 title "Detecting effects of nitrogen rate and weather on corn growth using micrometeorological and hyperspectral reflectance measurements" @default.
- W1978148487 cites W1973777826 @default.
- W1978148487 cites W1975630217 @default.
- W1978148487 cites W1976492404 @default.
- W1978148487 cites W1986786848 @default.
- W1978148487 cites W1989532432 @default.
- W1978148487 cites W1993311571 @default.
- W1978148487 cites W2003492542 @default.
- W1978148487 cites W2011244101 @default.
- W1978148487 cites W2011711943 @default.
- W1978148487 cites W2025851661 @default.
- W1978148487 cites W2030233869 @default.
- W1978148487 cites W2038968519 @default.
- W1978148487 cites W2054251036 @default.
- W1978148487 cites W2054661321 @default.
- W1978148487 cites W2060359335 @default.
- W1978148487 cites W2065191898 @default.
- W1978148487 cites W2065299220 @default.
- W1978148487 cites W2065889327 @default.
- W1978148487 cites W2069808678 @default.
- W1978148487 cites W2076232094 @default.
- W1978148487 cites W2082627840 @default.
- W1978148487 cites W2083033711 @default.
- W1978148487 cites W2089569294 @default.
- W1978148487 cites W2090629016 @default.
- W1978148487 cites W2094420085 @default.
- W1978148487 cites W2146421864 @default.
- W1978148487 cites W2487893344 @default.
- W1978148487 doi "https://doi.org/10.1016/s0168-1923(01)00232-5" @default.
- W1978148487 hasPublicationYear "2001" @default.
- W1978148487 type Work @default.
- W1978148487 sameAs 1978148487 @default.
- W1978148487 citedByCount "46" @default.
- W1978148487 countsByYear W19781484872012 @default.
- W1978148487 countsByYear W19781484872014 @default.
- W1978148487 countsByYear W19781484872015 @default.
- W1978148487 countsByYear W19781484872016 @default.
- W1978148487 countsByYear W19781484872018 @default.
- W1978148487 countsByYear W19781484872019 @default.
- W1978148487 countsByYear W19781484872020 @default.
- W1978148487 countsByYear W19781484872021 @default.
- W1978148487 countsByYear W19781484872022 @default.
- W1978148487 countsByYear W19781484872023 @default.
- W1978148487 crossrefType "journal-article" @default.
- W1978148487 hasAuthorship W1978148487A5007766285 @default.
- W1978148487 hasAuthorship W1978148487A5028111953 @default.
- W1978148487 hasAuthorship W1978148487A5043635136 @default.
- W1978148487 hasAuthorship W1978148487A5043804199 @default.
- W1978148487 hasAuthorship W1978148487A5078840056 @default.
- W1978148487 hasConcept C101000010 @default.
- W1978148487 hasConcept C107054158 @default.
- W1978148487 hasConcept C110872660 @default.
- W1978148487 hasConcept C127313418 @default.
- W1978148487 hasConcept C127413603 @default.
- W1978148487 hasConcept C137660486 @default.
- W1978148487 hasConcept C153294291 @default.
- W1978148487 hasConcept C159078339 @default.
- W1978148487 hasConcept C176783924 @default.
- W1978148487 hasConcept C178790620 @default.
- W1978148487 hasConcept C185592680 @default.
- W1978148487 hasConcept C187320778 @default.
- W1978148487 hasConcept C18903297 @default.
- W1978148487 hasConcept C197534560 @default.
- W1978148487 hasConcept C205649164 @default.
- W1978148487 hasConcept C25989453 @default.
- W1978148487 hasConcept C2776325102 @default.
- W1978148487 hasConcept C35187779 @default.
- W1978148487 hasConcept C39432304 @default.
- W1978148487 hasConcept C537208039 @default.
- W1978148487 hasConcept C62649853 @default.
- W1978148487 hasConcept C6557445 @default.
- W1978148487 hasConcept C76886044 @default.
- W1978148487 hasConcept C86803240 @default.
- W1978148487 hasConcept C88862950 @default.
- W1978148487 hasConcept C91586092 @default.
- W1978148487 hasConceptScore W1978148487C101000010 @default.
- W1978148487 hasConceptScore W1978148487C107054158 @default.
- W1978148487 hasConceptScore W1978148487C110872660 @default.
- W1978148487 hasConceptScore W1978148487C127313418 @default.
- W1978148487 hasConceptScore W1978148487C127413603 @default.
- W1978148487 hasConceptScore W1978148487C137660486 @default.
- W1978148487 hasConceptScore W1978148487C153294291 @default.
- W1978148487 hasConceptScore W1978148487C159078339 @default.
- W1978148487 hasConceptScore W1978148487C176783924 @default.
- W1978148487 hasConceptScore W1978148487C178790620 @default.
- W1978148487 hasConceptScore W1978148487C185592680 @default.
- W1978148487 hasConceptScore W1978148487C187320778 @default.
- W1978148487 hasConceptScore W1978148487C18903297 @default.
- W1978148487 hasConceptScore W1978148487C197534560 @default.