Site-Specific Multilevel Modeling of Potato Response to Nitrogen Fertilization

Frontiers in Environmental Science

Annie-Claude Parent¹  Zonlehoua Coulibali²  Serge-Étienne Parent²  Michaël A. Leblanc²  Léon E. Parent² 

[1] Department of Civil and Water Engineering, Université Laval, Québec, QC, Canada;Department of Soils and Agrifood Engineering, Université Laval, Québec, QC, Canada;

关键词: crop modeling;    potato;    fertilization;    nitrogen;    precision agriculture;   

DOI  :  10.3389/fenvs.2017.00081

来源: DOAJ

【 摘 要 】

Technologies of precision agriculture, digital soil maps, and meteorological stations provide a minimum data set to guide precision farming operations. However, determining optimal nutrient requirements for potato (Solanum tuberosum L.) crops at subfield scale remains a challenge given specific climatic, edaphic, and managerial conditions. Multilevel modeling can generalize yield response to fertilizer additions using data easily accessible to growers. Our objective was to elaborate a multilevel N fertilizer response model for potato crops using the Mitscherlich equation and a core data set of 93 N fertilizer trials conducted in Québec, Canada. Daily climatic data were collected at 10 × 10 km resolution. Soils were characterized by organic matter content, pH, and texture in the arable layer, and by texture and tools of pedometrics across a gleization-podzolization continuum in subsoil layers. There were five categories of preceding crops and five cultivar maturity orders. The three Mitscherlich parameters (Asymptote, Rate, and Environment) were most often site-specific. Sensitivity analysis showed that optimum N dosage increased with non-leguminous high-residue preceding crops, coarser soils, podzolization, drier climatic condition, and late cultivar maturity. The inferential model could guide site-specific N fertilization using an accessible minimum data set to support fertilization decisions. As decision-support system, the model could also provide a range of optimum N doses across a large spectrum of site-specific conditions including climate change.

【 授权许可】

Unknown