Sampling Design and Spatial Modeling of Available Phosphorus in a Complex Agricultural Area in Southern Brazil
Author:
Publisher
Springer Science and Business Media LLC
Subject
Plant Science,Soil Science,Agronomy and Crop Science
Link
https://link.springer.com/content/pdf/10.1007/s42729-023-01470-6.pdf
Reference45 articles.
1. Alovisi AMT, Cassol CJ, Nascimento JS, Soares NB, Junior IRS, Silva RS, Silva JAM (2020) Soil factors affecting phosphorus adsorption in soils of the Cerrado Brazil. Geoderma Regional 22:e00298. https://doi.org/10.1016/j.geodrs.2020.e00298
2. Alvares CA, Stape JL, Sentelhas PC, Gonçalves JLM, Sparovek G (2013) Köppen’s climate classification map for Brazil. Meteorologische Zeitschrift 22:711–728. https://doi.org/10.1127/0941-2948/2013/0507
3. Amaral LR, Della Justina DD (2019) Spatial dependence degree and sampling neighborhood influence on interpolation process for fertilizer prescription maps. Eng Agríc 39:85–95. https://doi.org/10.1590/1809-4430-Eng.Agric.v39nep85-95/2019
4. Attar IE, Hnini M, Taha K, Aurag J (2022) Phosphorus availability and its sustainable use. J Soil Sci Plant Nutr 22:5036–5048. https://doi.org/10.1007/s42729-022-00980-z
5. Barca E, Benedetto D, Stellacci AM (2019) Contribution of EMI and GPR proximal sensing data in soil water content assessment by using linear mixed effects models and geostatistical approaches. Geoderma 343:280–293. https://doi.org/10.1016/j.geoderma.2019.01.030
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