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Mapping Optimum Nitrogen Crop Uptake

Published online by Cambridge University Press:  01 June 2017

J. Villodre ,
I. Campos ,
H. Lopez-Corcoles ,
J. Gonzalez-Piqueras ,
L. González ,
V. Bodas ,
S. Sanchez-Prieto ,
A. Osann  and
A. Calera
J. Villodre*
Affiliation:
GIS and Remote Sensing Group. Instituto de Desarrollo Regional. Universidad de Castilla-La Mancha. Campus Universitario SN. Albacete (Spain)
I. Campos
Affiliation:
GIS and Remote Sensing Group. Instituto de Desarrollo Regional. Universidad de Castilla-La Mancha. Campus Universitario SN. Albacete (Spain)
H. Lopez-Corcoles
Affiliation:
Instituto Técnico Agronómico de Albacete (ITAP) Avda. Gregorio Arcos 19, 02005 Albacete (Spain)
J. Gonzalez-Piqueras
Affiliation:
GIS and Remote Sensing Group. Instituto de Desarrollo Regional. Universidad de Castilla-La Mancha. Campus Universitario SN. Albacete (Spain)
L. González
Affiliation:
GIS and Remote Sensing Group. Instituto de Desarrollo Regional. Universidad de Castilla-La Mancha. Campus Universitario SN. Albacete (Spain)
V. Bodas
Affiliation:
Aliara Agrícola S.L. Calle Matadero 11. 45600. Talavera de La Reina (Toledo). Spain
S. Sanchez-Prieto
Affiliation:
GIS and Remote Sensing Group. Instituto de Desarrollo Regional. Universidad de Castilla-La Mancha. Campus Universitario SN. Albacete (Spain)
A. Osann
Affiliation:
GIS and Remote Sensing Group. Instituto de Desarrollo Regional. Universidad de Castilla-La Mancha. Campus Universitario SN. Albacete (Spain)
A. Calera
Affiliation:
GIS and Remote Sensing Group. Instituto de Desarrollo Regional. Universidad de Castilla-La Mancha. Campus Universitario SN. Albacete (Spain)
*
†E-mail: julio.villodre@gmail.com
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Abstract

This work proposes a methodology that uses remote sensing (RS) images to obtain optimum nitrogen crop uptake (Nuptake) maps, for the all pixels in the image included in the field during the entire growing season. The Nuptake was determined from relationship between critical nitrogen concentration (Nc) and biomass where biomass was estimated by a crop growth model based on the water use efficiency. The paper proposes the use of this methodology in commercial wheat farm. The results are discussed with respect to field measurements of crop biomass and N concentration on different dates and in zones with different nitrogen treatments from 8 commercial wheat farms in Albacete, Spain during 2015 and 2016.

Keywords

Remote sensingBiomassCritical nitrogen concentration (Nc)Variable Rate TechnologyVariable fertilization
Type
Precision Nitrogen
Information
Advances in Animal Biosciences , Volume 8 , Special Issue 2: Papers presented at the 11th European Conference on Precision Agriculture (ECPA 2017), John McIntyre Centre, Edinburgh, UK, July 16–20 2017 , July 2017 , pp. 322 - 327
Copyright
© The Animal Consortium 2017 

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