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hal.structure.identifierQuebec Research and Development Centre
dc.contributor.authorCAMBOURIS, A. N.
hal.structure.identifierAgassiz Research and Development Centre
dc.contributor.authorMESSIGA, A. J.
hal.structure.identifierQuebec Research and Development Centre
dc.contributor.authorZIADI, N.
hal.structure.identifierQuebec Research and Development Centre
dc.contributor.authorPERRON, I.
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorMOREL, Christian
dc.date.accessioned2024-04-08T12:06:31Z
dc.date.available2024-04-08T12:06:31Z
dc.date.issued2017
dc.identifier.issn0361-5995
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/196408
dc.description.abstractEnImproving soil test P assessment at plot scale is essential for productivity in conservation agriculture systems. We characterized the distribution of Mehlich-3 P (P-M3) concentrations at the decimetric scale with depth on either side of the sowing row in no-till (NT) and moldboard plow (MP) plots fertilized with 35 kg P ha(-1) every 2-yr in a corn-soybean rotation (20-yr). A total of 996 soil samples (83 samples x 2 depths [0-5 and 5-20 cm] x 6 plots [3 blocks each MP and NT]) were collected at corn harvest in 2012. The average PM3 concentrations in the 0-to 5-cm layer were 35.7 and 63.4 mg kg(-1) in MP and NT, respectively. The PM3 concentration in the 5-to 20-cm depth was similar between MP and NT and averaged 32.0 mg kg-1. The horizontal distribution of PM3 concentrations in these plots was less sensitive to extrinsic factors including tillage, P fertilization and soil depth. High coefficients of variation were associated with PM3 data in both MP (77 and 63% at 0-5 and 5-20 cm, respectively) and NT plots (46 and 66% at 0-5 and 5-20 cm, respectively). It is possible that this strong overall variability overshadowed any PM3 pattern that could have been introduced by NT management. Geostatistical semivariance analysis indicated a predominance of random spatial dependence in most plots, except two plots (one MP and one NT) with moderate spatial structures. The 2-D geospatial model related to tillage was not detected by the sampling grid used at this experimental site. Therefore, a similar sampling strategy would be appropriate and could be recommended for these two tillage systems in this long-term corn-soybean rotation.
dc.language.isoen
dc.publisherSoil Science Society of America
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/
dc.title.enDecimetric-scale two-dimensional distribution of soil phosphorus after 20 years of tillage management and maintenance phosphorus fertilization
dc.typeArticle de revue
dc.identifier.doi10.2136/sssaj2017.03.0101
dc.subject.halSciences du Vivant [q-bio]
dc.subject.halSciences de l'environnement
bordeaux.journalSoil Science Society of America Journal
bordeaux.page1606-1614
bordeaux.volume81
bordeaux.hal.laboratoriesInteractions Soil Plant Atmosphere (ISPA) - UMR 1391*
bordeaux.issue6
bordeaux.institutionBordeaux Sciences Agro
bordeaux.institutionINRAE
bordeaux.peerReviewedoui
hal.identifierhal-02620079
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-02620079v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Soil%20Science%20Society%20of%20America%20Journal&rft.date=2017&rft.volume=81&rft.issue=6&rft.spage=1606-1614&rft.epage=1606-1614&rft.eissn=0361-5995&rft.issn=0361-5995&rft.au=CAMBOURIS,%20A.%20N.&MESSIGA,%20A.%20J.&ZIADI,%20N.&PERRON,%20I.&MOREL,%20Christian&rft.genre=article


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