Refining phosphorus fertilizer recommendations based on buffering capacity of soils from southern Brazil-Reference-Cited by-同舟云学术

Refining phosphorus fertilizer recommendations based on buffering capacity of soils from southern Brazil

Published:2021 Issue: Volume:45 Page:
ISSN:1806-9657
Container-title:Revista Brasileira de Ciência do Solo
language:en
Short-container-title:

Author:

Mumbach Gilmar Luiz^ORCID,Gatiboni Luciano Colpo^ORCID,Dall’Orsoletta Daniel João^ORCID,Schmitt Djalma Eugenio^ORCID,Grando Douglas Luiz^ORCID,Souza Abelino Anacleto de^ORCID,Brignoli Fernando Marcos^ORCID,Iochims Daniel Alexandre^ORCID

Publisher

Revista Brasileira de Ciencia do Solo

Reference36 articles.

1. Phosphorus speciation and iron mineralogy in an Oxisol after 11 years of pig slurry application;Abdala;Sci Total Environ,2020

2. Cor de solo, formas do fósforo e adsorção de fosfatos em Latossolos desenvolvidos de basalto do extremo-sul do Brasil;Almeida;Rev Bras Cienc Solo,2003

3. Soil phosphate chemistry and the P-sparing effect of previous phosphate applications;Barrow;Plant Soil,2015

4. Three residual benefits of applying phosphate fertilizer;Barrow;Soil Sci Soc Am J,2018

5. Fate of phosphorus applied to soil in pig slurry under cropping in southern Brazil;Boitt;Geoderma,2018

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1. Оцінка фосфатного стану орних та перелогових ґрунтів різного ґенезису за показниками фосфат-буферності;AgroChemistry and Soil Science;2024-07-31

2. Growth, dry matter and production components of cotton under phosphorus split application strategies;Revista Agrogeoambiental;2024-05-10

3. Soil Properties Related to Phosphorus Sorption and Prediction of Maximum Phosphorus Adsorption Capacity of Soils from Southern Brazil;Journal of Soil Science and Plant Nutrition;2024-05-10

4. Effect of phosphate fertilizer-coated Dicarboxylic Acid Polymer on rice yield and components under greenhouse conditions;Plant Science Today;2024-01-28

5. Balancing phosphorus fertilization for sustainable maize yield and soil test phosphorus management: A long-term study using machine learning;Field Crops Research;2023-12