Using a nitrogen mineralization index will improve soil productivity rating by artificial neural networks

References

• Alvarez R. 2009. Predicting average yield and regional production of wheat in the Argentine Pampas by an artificial neural network approach. Eur J Agron. 30:70–77. doi:10.1016/j.eja.2008.07.005.
   Web of Science ®Google Scholar
• Alvarez R, Alvarez C, Daniel P, Richter V, Blotta L. 1998. Nitrogen distribution in soil density fractions and its relation with nitrogen mineralization under different tillage systems. Austr J Soil Res. 36:247–256. doi:10.1071/S97027.
   Web of Science ®Google Scholar
• Alvarez R, Gimenez A, Caffaro M, Pagnanini P, Recondo V, Molina C, Berhongaray G, Mendoza M, Ramil D, Facio F, et al. 2018. Land use affected nutrient mass with minor impact on stoichiometry ratios in Pampean soils. Nutr Cycl Agroecosys. 110:257–276. doi:10.1007/s10705-017-9896-0.
   Web of Science ®Google Scholar
• Alvarez R, Lavado R. 1998. Climatic control of the organic matter of the pampas and chaco soils. Geoderma 83:127–141. doi:10.1016/S0016-7061(97)00141-9.
   Web of Science ®Google Scholar
• Alvarez R, Steinbach HS. 2011. Modeling apparent nitrogen mineralization under field conditions using regressions an artificial neural networks. Agron J. 103:1159–1168. doi:10.2134/agronj2010.0254.
   Web of Science ®Google Scholar
• Alvarez R, Steinbach HS, Alvarez CR, De Paepe JL. 2015. Chapter 15, Fertilizer use in pampean agroecosystems: impact on productivity and nutrient balance. In: Sinha S, Pant KK, Bajrai S, Govil JN, editors. Chemical engineering series, fertilizer technology vol. 2: biofertilizers. USA: Studdium Press LLC; p. 352–368.
   Google Scholar
• Alvarez R, Steinbach HS, De Paepe JL. 2014. A regional audit of nitrogen fluxes in pampean agroecosystems. Agric Ecosys Environ. 184:1–8. doi:10.1016/j.agee.2013.11.003.
   Web of Science ®Google Scholar
• Alvarez R, Steinbach HS, De Paepe JL. 2016. Historical balance of nitrogen, phosphorus, and sulfur of the Argentine Pampas. Ciencia Del Suelo. 34:231–244.
   Google Scholar
• Balesdent J, Basile-Doelsch I, Chadoeuf J, Cornu S, Derrien D, Fekiacova Z, Hatté C. 2018. Atmosphere–soil carbon transfer as a function of soil depth. Nature. 559:599–602. doi:10.1038/s41586-018-0328-3.
   PubMed Web of Science ®Google Scholar
• Barrett JE, Burke IC. 2000. Potential nitrogen immobilization in grassland soils across a soil organic matter gradient. Soil Biol Biochem. 32:1707–1716.
   Web of Science ®Google Scholar
• Bechtold JC, Naiman RJ. 2006. Soil texture and nitrogen mineralization potential across a riparian toposequence in a semi-arid savanna. Soil Biol Biochem. 38:1325–1333. doi:10.1016/j.soilbio.2005.09.028.
   Web of Science ®Google Scholar
• Berhongaray G, Alvarez R, De Paepe JL, Caride C, Cantet R. 2013. Land use effects on soil carbon in the Argentine Pampas. Geoderma 192:97–110. doi:10.1016/j.geoderma.2012.07.016.
   Web of Science ®Google Scholar
• Bremner JM. 1996. Chapter 37, Nitrogen-Total. In: DL Sparks,  AL Page, PA Helmke, RH Loeppert, PN Soltanpour, MA Tabatabai, CT Johnston, ME Sumner, editor. Methods of soil analysis, part 3. chemical methods. Soil Sci. Soc. Am. Book Series 5. Madison (USA): The Soil Science Society of America; p. 1085–1121.
   Google Scholar
• Brouwer RK. 2004. A hybrid neural network for input that is both categorical and quantitative. Int J Intell Syst. 19:979–1001. doi:10.1002/(ISSN)1098-111X.
   Web of Science ®Google Scholar
• Chen H, Marhan S, Billen N, Stahr K. 2009. Soil organic-carbon and total nitrogen stocks as affected by different land uses in Bade-Württemberg (Southwest Germany). J Plant Nutr Soil Sci. 172:32–42. doi:10.1002/jpln.200700116.
   Web of Science ®Google Scholar
• De Paepe JL, Alvarez R. 2013. Developments of a soil productivity index using an artificial neural network approach. Agron J. 105:1803–1813. doi:10.2134/agronj2013.0070.
   Web of Science ®Google Scholar
• Dessureault-Rompé J, Zebarth BJ, Burton DL, Sharifi M, Cooper J, Grant CA, Drury CF. 2010. Relationships among mineralizable soil nitrogen, soil properties, and climatic indices. Soil Sci Soc Am J. 74:1218–1227. doi:10.2136/sssaj2009.0213.
   Web of Science ®Google Scholar
• Dessureault-Rompré J, Zebarth BJ, Burton DL, Grant CA. 2016. Depth distribution of mineralizable nitrogen pools in contrasting soils in a semi-arid climate. Can J Soil Sci. 96:1–11. doi:10.1139/cjss-2015-0048.
   Web of Science ®Google Scholar
• Díaz Zorita M, Buschiazzo DE, Peinemann N. 1999. Soil organic matter and wheat productivity in the Semiarid Argentine Pampas. Agron J. 91:276–279. doi:10.2134/agronj1999.00021962009100020016x.
   Web of Science ®Google Scholar
• Dintwe K, Okin GS, D´Odorico P, Hrast T, Mladenov N, Handorean A, Bhattachan A, Caylor KK. 2015. Soil organic C and N pools in the Kalahari: potential impacts of climate change on C sequestration in savannas. Plant Soil 396:27–44. doi:10.1007/s11104-014-2292-5.
   Web of Science ®Google Scholar
• Dodd MB, Lauenroth WK, Burke IC. 2000. Nitrogen availability through a coarse-textured soil profile in the shortgrass steppe. Soil Sci Soc Am.J. 64:391–398. doi:10.2136/sssaj2000.641391x.
   Web of Science ®Google Scholar
• Fageria NK. 2012. Role of soil organic matter in maintaining sustainability of cropping systems. Commun Soil Sci Plan. 43:2063–2113. doi:10.1080/00103624.2012.697234.
   Web of Science ®Google Scholar
• Feller C, Blanchart E, Bernoux M, Lal R, Manlay R. 2012. Soil fertility concepts over the past two centuries: the importance attributed to soil organic matter in developed and developing countries. Arch Agron Soil Sci. 58:S3–S21. doi:10.1080/03650340.2012.693598.
   Web of Science ®Google Scholar
• Fila G, Bellocchi G, Acutis M, Donatelli M. 2003. IRENE: a software to evaluate model performance. Eur J Agron. 18:369–372. doi:10.1016/S1161-0301(02)00129-6.
   Web of Science ®Google Scholar
• Gami SK, Lauren JG, Duxbury JM. 2009. Influence of soil texture and cultivation on carbon and nitrogen levels in soils of the eastern Indo-Gangetic Plains. Geoderma 153:304–311. doi:10.1016/j.geoderma.2009.08.003.
   Web of Science ®Google Scholar
• Iversen CM, Hooker TD, Classen AT, Norby RJ. 2011. Net mineralization of N at deeper soil depths as a potential mechanism for sustained forest production under elevated [CO2]. Global Change Biol. 17:1130–1139. doi:10.1111/j.1365-2486.2010.02240.x.
   Web of Science ®Google Scholar
• Jackson RB, Candell J, Ehleringer JR, Mooney HA, Sala OE, Schulze ED. 1996. A global analysis of root distributions for terrestrial biomes. Oecologia. 108:389–411. doi:10.1007/BF00333714
   PubMed Web of Science ®Google Scholar
• Joergensen SE, Bendoricchio G. 2001. Fundamentals of ecological modelling. Third ed. Oxford (UK): Elsevier; p. 530.
   Google Scholar
• Johannes A, Matters A, Schulin R, Weisskpf P, Baveye PC. 2017. Optimal organic carbon values for soil structure quality of arable soils. Does clay content matter?. Geoderma 302:14–21. doi:10.1016/j.geoderma.2017.04.021.
   Web of Science ®Google Scholar
• Kader MA, Sleutel S, Begum SA, D´Haene K, Jegajeevagan K, De Neve S. 2010. Soil organic matter fractionation as a tool for predicting nitrogen mineralization in silty arable soils. Soil Use Manag. 26:494–507. doi:10.1111/j.1475-2743.2010.00303.x.
   Web of Science ®Google Scholar
• Kleinbaum DG, Kupper LL. 1979. Applied regression analysis and other multivariable methods. Massachusetts (USA): Duxbury Press; p. 555.
   Google Scholar
• Kobayashi K, Salam MU. 2000. Comparing simulated and measured values using mean square deviation and its components. Agron J. 92:345–352. doi:10.2134/agronj2000.922345x.
   Web of Science ®Google Scholar
• Marschner B, Brodowski S, Dreves A, Gleixner G, Gude A, Grootes PM, Grootes PM, Hamer U, Heim A, Jandi G, et al. 2008. How relevant is recalcitrance for the stabilization of organic matter in soils? J Plant Nutr Soil Sci. 171:91–110. doi:10.1002/jpln.200700049.
   Web of Science ®Google Scholar
• Matus FJ, Lusk CH, Maire CR. 2008. Effects of soil texture, carbon input rates, and litter quality on free organic matter and nitrogen mineralization in Chilean rain forest and agricultural soils. Commun Soil Sci Plant Anal. 39:187–201. doi:10.1080/00103620701759137.
   Web of Science ®Google Scholar
• Miao Y, Mulla D, Robert P. 2006. Identifying important factors influencing corn yield and grain quality variability using artificial neural networks. Precis Agr. 7:117–135. doi:10.1007/s11119-006-9004-y.
   Web of Science ®Google Scholar
• Mulvaney RL. 1996. Chapter 38, Nitrogen-Inorganic forms. In: DL Sparks,AL Page, PA Helmke, RH Loeppert, PN Soltanpour, MA Tabatabai, CT Johnston, ME Sumner, editor. Methods of Soil Analysis, Part 3. Chemical Methods. Soil Sci. Soc. Am. Book Series 5. Madison (USA): The Soil Science Society of America; p. 1123–1184.
   Google Scholar
• Neter J, Wasserman W, Kutner MH. 1990. Applied linear statistical models. Illinois (USA): Irwin Inc Publisher; p. 1172.
   Google Scholar
• O´Connell AM, Grove TS, Mendham DS, Rance SJ. 2003. Changes in soil N status and N supply rates in agricultural land afforested with eucalyptus in south-western Australia. Soil Biol Biochem. 35:1527–1536. doi:10.1016/S0038-0717(03)00242-6.
   Web of Science ®Google Scholar
• Park SJ, Vlek PLG. 2002. Environmental correlation of three-dimensional soil spatial variability: a comparison of three adaptive techniques. Geoderma. 109:117–140. doi:10.1016/S0016-7061(02)00146-5.
   Web of Science ®Google Scholar
• Poeplau C, Don A. 2013. Sensitivity of soil organic carbon stocks and fractions to different land-use changes across Europe. Geoderma 192:189–201. doi:10.1016/j.geoderma.2012.08.003.
   Web of Science ®Google Scholar
• Poeplau C, Don A, Vesterdal L, Leifeld J, van Wesemael BAS, Schumacher J, Gensior A. 2011. Temporal dynamics of soil organic carbon after land-use change in the temperate zone–carbon response functions as a model approach. Glob Change Biol. 17:2415–2427. doi:10.1111/j.1365-2486.2011.02408.x.
   Web of Science ®Google Scholar
• Rashid MI, de Goede RGM, Brussaard L, Bloem J, Lantinga EA. 2014. Production-ecological modelling explains the difference between potential soil N mineralization and actual herbage N uptake. Appl Soil Ecol. 84:83–92. doi:10.1016/j.apsoil.2014.07.002.
   Web of Science ®Google Scholar
• Romano N, Alvarez R, Bono A, Steinbach HS. 2015. Comparison of nitrogen fertilizer demand for wheat production between humid and semi-arid portions of the Argentinean Pampas using a mass balance approach. Arch Agron Soil Sci. 61:1409–1422. doi:10.1080/03650340.2014.1003546.
   Web of Science ®Google Scholar
• Ros GH, Temminghoff EJM, Hoffland E. 2011. Nitrogen mineralization: a review and meta-analysis of the predictive value of soil test. Eur J Soil Sci. 62:162–173. doi:10.1111/j.1365-2389.2010.01318.x.
   Web of Science ®Google Scholar
• Satorre E, Slafer G. 1999. Chapter 15, Wheat production systems of the Pampas. In: E Satorre, G Slafer, editor. Wheat. Ecology and physiology of yield determination. New York (USA): ETH Press; p. 333–348.
   Google Scholar
• Schipper LA, Parfitt RL, Ross C, Bazisden WT, Claydon JJ, Fraser S. 2010. Gains and losses on C and N stocks of New Zealand pasture soils depend on land use. Agric Ecosyst Environ. 139:611–617. doi:10.1016/j.agee.2010.10.005.
   Web of Science ®Google Scholar
• Smit A, Velthof GL. 2010. Comparison of indices for the prediction of nitrogen mineralization after destruction of managed grassland. Plant Soil 331:139–150. doi:10.1007/s11104-009-0240-6.
   Web of Science ®Google Scholar
• Wade J, Horwarth WR, Burger MB. 2016. Integrating soil biological and chemical indices to predict net nitrogen mineralization across California agricultural systems. Soil Sci Soc. Am J. 22:1675–1687. doi:10.2136/sssaj2016.07.0228.
   Google Scholar
• Wang T, Kang F, Cheng X, Han H, Ji W. 2016. Soil organic carbon and total nitrogen stocks under different land uses in a hilly ecological restoration area in North China. Soil Till Res. 163:176–184. doi:10.1016/j.still.2016.05.015.
   Web of Science ®Google Scholar
• Wang WJ, Chalk PM, Chen D, Smith CJ. 2001. Nitrogen mineralization, immobilization and loss, and their role in determining differences in net nitrogen production during waterlogged and aerobic incubation of soils. Soil Biol Biochem. 33:1305–1315. doi:10.1016/S0038-0717(01)00034-7.
   Web of Science ®Google Scholar