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Tools for optimizing management of a spatially variable organic field

2015-03Journal article Open access
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dc.contributor.authorPanagopoulos, Thomas
dc.contributor.authorde Jesus, Jorge
dc.contributor.authorBen-Asher, Jiftah
dc.date.accessioned2018-12-07T14:53:40Z
dc.date.available2018-12-07T14:53:40Z
dc.date.issued2015-03
dc.description.abstractGeostatistical tools were used to estimate spatial relations between wheat yield and soil parameters under organic farming field conditions. Thematic maps of each factor were created as raster images in R software using kriging. The Geographic Resources Analysis Support System (GRASS) calculated the principal component analysis raster images for soil parameters and yield. The correlation between the raster arising from the PC1 of soil and yield parameters showed high linear correlation (r = 0.75) and explained 48.50% of the data variance. The data show that durum wheat yield is strongly affected by soil parameter variability, and thus, the average production can be substantially lower than its potential. Soil water content was the limiting factor to grain yield and not nitrate as in other similar studies. The use of precision agriculture tools helped reduce the level of complexity between the measured parameters by the grouping of several parameters and demonstrating that precision agriculture tools can be applied in small organic fields, reducing costs and increasing wheat yield. Consequently, site-specific applications could be expected to improve the yield without increasing excessively the cost for farmers and enhance environmental and economic benefits.
dc.description.sponsorshipFoundation for Science and Technology (Fundacao para a Ciencia e a Tecnologia), Portugal [SFRH/BD/8303/2002]; Research Center of Spatial and Organizational Dynamics (CIEO); Ministery of Science, Culture and Sport, Israel; Bundesmenisterium fuer Bildung and Forschung (BMBF)
dc.identifier.doi10.3390/agronomy5010089
dc.identifier.issn2073-4395
dc.identifier.urihttp://hdl.handle.net/10400.1/11634
dc.language.isoeng
dc.peerreviewedyes
dc.publisherMDPI
dc.relationNOVOS MÉTODOS EXPERIMENTAIS DE PESQUISA NA AGRICULTURA E NA ECOLOGIA
dc.subjectWheat Yield
dc.subjectPrincipal Components
dc.subjectSoil Parameters
dc.subjectErosion Risk
dc.subjectVariability
dc.subjectGis
dc.subjectPortugal
dc.titleTools for optimizing management of a spatially variable organic field
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleNOVOS MÉTODOS EXPERIMENTAIS DE PESQUISA NA AGRICULTURA E NA ECOLOGIA
oaire.awardURIinfo:eu-repo/grantAgreement/FCT//SFRH%2FBD%2F8303%2F2002/PT
oaire.citation.endPage106
oaire.citation.issue1
oaire.citation.startPage89
oaire.citation.titleAgronomy-Basel
oaire.citation.volume5
person.familyNamePanagopoulos
person.givenNameThomas
person.identifierR-000-K9N
person.identifier.ciencia-id411D-5652-57A8
person.identifier.orcid0000-0002-8073-2097
person.identifier.ridA-3048-2012
person.identifier.scopus-author-id9736690000
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccess
rcaap.typearticle
relation.isAuthorOfPublication3dfd5be1-8e22-4dda-bd34-f3b1e5f249e2
relation.isAuthorOfPublication.latestForDiscovery3dfd5be1-8e22-4dda-bd34-f3b1e5f249e2
relation.isProjectOfPublication417bcbc2-6e07-4724-88e3-303288f50fb5
relation.isProjectOfPublication.latestForDiscovery417bcbc2-6e07-4724-88e3-303288f50fb5

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