Agostini, L.; Bünemann, E. K.; Jakobsen, C.; Salo, T.; Wester-Larsen, L. and Symanczik, S. (2024) Prediction of nitrogen mineralization from novel bio-based fertilizers using chemical extractions. Environmental Technology & Innovation, 36 (103781), pp. 1-13.
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Document available online at: https://www.sciencedirect.com/science/article/pii/S2352186424002578?via%3Dihub
Summary in the original language of the document
Bio-based fertilizers (BBFs) are an increasingly important source of nutrients in agriculture, promoted by the new EU fertilizer regulation aiming to enable a circular bioeconomy. Predicting the mineralization-dependent nutrient release of BBFs is critical for their appropriate use and to
minimize environmental losses. We assessed mineralizable nitrogen (N) and carbon (C) of a representative selection of 32 BBFs and evaluated a set of chemical extraction methods to predict their N mineralization dynamics. In 84-day aerobic incubations, cumulative mineral N release varied between 13 and 100 % of amended N. Mineralized C ranged from 10 % to 117 % of amended C. Based on the dynamics of N and C mineralization, BBFs were classified into five
significantly different groups. Among the tested chemical indicators of N mineralization from BBFs, cold and hot water presented the lowest extraction intensities, followed by hot potassium chloride and hot sulfuric acid extractions, while C:N ratio is based on total contents. Mineral N released almost immediately was best predicted by cold water extractable N, while hot sulfuric acid extractable N and C:N ratio predicted N released after the first two weeks and after 84 days, respectively. The combination of these three indicators was able to discriminate BBFs into four
out of five mineralization classes. Such a cost-effective yet accurate estimation of N mineralization dynamics from BBFs can therefore be used as a basis to inform farmers on suitable timing and amount of BBF application, improving the synchrony between N release from BBFs and crop N demand.
EPrint Type: | Journal paper |
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Keywords: | Bio-based fertilizers, mineralization, chemical predictors, soil incubation, Abacus, FiBL1012804, LEX4BIO |
Agrovoc keywords: | Language Value URI English fertilisers -> fertilizers http://aims.fao.org/aos/agrovoc/c_2867 English mineralization http://aims.fao.org/aos/agrovoc/c_15999 English bioeconomy http://aims.fao.org/aos/agrovoc/c_bcba0163 |
Subjects: | Crop husbandry > Composting and manuring Soil > Nutrient turnover |
Research affiliation: | Switzerland > FiBL - Research Institute of Organic Agriculture Switzerland > Soil > Nutrient management Switzerland > FiBL - Research Institute of Organic Agriculture Switzerland > Soil > Soil quality |
Horizon Europe or H2020 Grant Agreement Number: | 818309 |
DOI: | doi.org/10.1016/j.eti.2024.103781 |
Related Links: | https://lex4bio.eu/, https://www.fibl.org/en/themes/projectdatabase/projectitem/project/1693 |
Deposited By: | Ellenberger, Maura |
ID Code: | 52977 |
Deposited On: | 23 Aug 2024 07:29 |
Last Modified: | 23 Aug 2024 07:33 |
Document Language: | English |
Status: | Published |
Refereed: | Peer-reviewed and accepted |
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