Prediction of nitrogen mineralization from novel bio-based fertilizers using chemical extractions
| dc.contributor.author | Agostini, L. | |
| dc.contributor.author | Bünemann, E.K. | |
| dc.contributor.author | Jakobsen, C. | |
| dc.contributor.author | Salo, Tapio | |
| dc.contributor.author | Wester-Larsen, L. | |
| dc.contributor.author | Symanczik, S. | |
| dc.contributor.departmentid | 4100110410 | |
| dc.contributor.orcid | https://orcid.org/0000-0002-7820-122X | |
| dc.contributor.organization | Luonnonvarakeskus | |
| dc.date.accessioned | 2024-08-13T09:46:57Z | |
| dc.date.accessioned | 2025-05-27T20:07:07Z | |
| dc.date.available | 2024-08-13T09:46:57Z | |
| dc.date.issued | 2024 | |
| dc.description.abstract | 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. | |
| dc.description.vuosik | 2024 | |
| dc.format.bitstream | true | |
| dc.format.pagerange | 13 p. | |
| dc.identifier.olddbid | 497712 | |
| dc.identifier.oldhandle | 10024/555141 | |
| dc.identifier.uri | https://jukuri.luke.fi/handle/11111/9451 | |
| dc.identifier.url | https://doi.org/10.1016/j.eti.2024.103781 | |
| dc.identifier.urn | URN:NBN:fi-fe2024081364711 | |
| dc.language.iso | en | |
| dc.okm.avoinsaatavuuskytkin | 1 = Avoimesti saatavilla | |
| dc.okm.corporatecopublication | ei | |
| dc.okm.discipline | 4111 | |
| dc.okm.internationalcopublication | on | |
| dc.okm.julkaisukanavaoa | 1 = Kokonaan avoimessa julkaisukanavassa ilmestynyt julkaisu | |
| dc.okm.selfarchived | on | |
| dc.publisher | Elsevier | |
| dc.relation.articlenumber | 103781 | |
| dc.relation.doi | 10.1016/j.eti.2024.103781 | |
| dc.relation.ispartofseries | Environmental technology and innovation | |
| dc.relation.issn | 2352-1864 | |
| dc.relation.volume | 36 | |
| dc.rights | CC BY 4.0 | |
| dc.source.identifier | https://jukuri.luke.fi/handle/10024/555141 | |
| dc.subject | organic fertilisers | |
| dc.subject | soil improvement materials | |
| dc.subject | mineralisation | |
| dc.subject | nitrogen | |
| dc.subject | chemical properties | |
| dc.teh | 41007-00166904 | |
| dc.teh | Horizon 2020: 818309 (LEX4BIO) | |
| dc.title | Prediction of nitrogen mineralization from novel bio-based fertilizers using chemical extractions | |
| dc.type | publication | |
| dc.type.okm | fi=A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä|sv=A1 Originalartikel i en vetenskaplig tidskrift|en=A1 Journal article (refereed), original research| | |
| dc.type.version | fi=Publisher's version|sv=Publisher's version|en=Publisher's version| |
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