Decimetric-scale two-dimensional distribution of soil phosphorus after 20 years of tillage management and maintenance phosphorus fertilization

Autor: Aimé J. Messiga, Isabelle Perron, Christian Morel, Athyna N. Cambouris, Noura Ziadi
Přispěvatelé: Quebec Research and Development Centre, Agassiz Research and Development Centre, Agriculture and Agri-Food [Ottawa] (AAFC), Interactions Sol Plante Atmosphère (UMR ISPA), Institut National de la Recherche Agronomique (INRA)-Ecole Nationale Supérieure des Sciences Agronomiques de Bordeaux-Aquitaine (Bordeaux Sciences Agro)
Jazyk: angličtina
Rok vydání: 2017
Předmět:
Zdroj: Soil Science Society of America Journal 6 (81), 1606-1614. (2017)
Soil Science Society of America Journal
Soil Science Society of America Journal, Soil Science Society of America, 2017, 81 (6), pp.1606-1614. ⟨10.2136/sssaj2017.03.0101⟩
ISSN: 0361-5995
1435-0661
DOI: 10.2136/sssaj2017.03.0101⟩
Popis: International audience; Improving 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.
Databáze: OpenAIRE
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