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  <rdf:Description rdf:about="https://doi.org/2318/2070051">
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    <dct:isReferencedBy>Recolector de Ciencia Abierta, RECOLECTA</dct:isReferencedBy>
    <dct:isReferencedBy>Archivio Istituzionale della Ricerca (AperTO) - Universit&#224; di Torino</dct:isReferencedBy>
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    <dct:references>https://iris.unito.it/bitstream/2318/2070051/1/A60%20Octavian%20TF0.pdf</dct:references>
    <dct:references>https://doi.org/2318/2070051</dct:references>
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    <dct:isPartOf>Agriculture, Ecosystems &amp;amp; Environment</dct:isPartOf>
    <dct:license>Open Access</dct:license>
    <dct:created>2025-03-14</dct:created>
    <dct:created>2024-12-27</dct:created>
    <dct:created>2024-07-04</dct:created>
    <dct:available>2025-03-18</dct:available>
    <dct:available>2024-01-01</dct:available>
    <dct:available>2025-04-28</dct:available>
    <dc:description>&lt;?xml version='1.0' encoding='UTF-8'?&gt;&lt;article&gt;&lt;p&gt;Mineralised nitrogen (N) from soil organic matter (SOM) is a crucial source of N for both natural ecosystems and agroecosystems. Therefore, accurate estimation of the amount of N available to crops from SOM mineralisation is necessary to correctly manage N addition. For application in an N budget, a field-scale assessment of the main factors affecting SOM mineralisation is required. The objective of this study was to quantify the influence of meteorological conditions and soil properties on N mineralised by SOM in an agroecosystem. The N mineralised from the SOM was calculated as the N uptake of the unfertilised plot minus the N derived from atmospheric deposition and irrigation. This study analysed 29 years of crop, agrometeorological, and soil data from three maize cropping systems (maize for grain, maize for silage, and maize-It. ryegrass double cropping) in a long-term experiment conducted in NW Italy. A Linear Mixed Model (LMM) was developed for the purpose of this study. The average of N derived from SOM mineralisation predicted by the model was 96&amp;amp;#8239;kg&amp;amp;#8239;N ha&amp;amp;#8722;1&amp;amp;#160;yr&amp;amp;#8722;1, with a root mean square error of 22&amp;amp;#8239;kg&amp;amp;#8239;N ha&amp;amp;#8722;1&amp;amp;#160;yr&amp;amp;#8722;1. The fixed factors of LMM, which are soil organic carbon (SOC), carbon-to-nitrogen ratio (C/N) and the sum of rainfall and irrigation (R.I.), were responsible for 19&amp;amp;#8239;% of the annual variations in mineralised N. SOC and R.I. had a positive effect and greater weight on the process, whereas C/N had a negative effect and lower weight. The explanatory power of the model increased to 52&amp;amp;#8239;% when cropping systems and interannual variability were included as random factors. This study highlights the importance of weather conditions and SOC content in determining the amount of N derived from soil mineralisation and can contribute to plant nutrition. In a future climate scenario characterised by increased aridity, N mineralisation could decrease, thus increasing the demand for fertilisers.&lt;/p&gt;&lt;/article&gt;</dc:description>
    <dc:subject>Linear mixed model</dc:subject>
    <dc:subject>Soil organic matter mineralisation</dc:subject>
    <dc:subject>Agrometeorological indicators</dc:subject>
    <dc:subject>Agrometeorological indicators; C/N ratio; Linear mixed model; Maize; Nitrogen uptake; Soil organic matter mineralisation</dc:subject>
    <dc:subject>C/N ratio</dc:subject>
    <dc:subject>Nitrogen uptake</dc:subject>
    <dc:subject>Maize</dc:subject>
    <dc:creator rdf:resource="https://orcid.org/0009-0006-0301-1671"/>
    <dc:creator>Chiriac O. P., Pittarello M., Moretti B., Zavattaro L., </dc:creator>
    <dc:date>2024-01-01</dc:date>
    <dc:type>journalpaper</dc:type>
    <dct:abstract>&lt;?xml version='1.0' encoding='UTF-8'?&gt;&lt;article&gt;&lt;p&gt;Mineralised nitrogen (N) from soil organic matter (SOM) is a crucial source of N for both natural ecosystems and agroecosystems. Therefore, accurate estimation of the amount of N available to crops from SOM mineralisation is necessary to correctly manage N addition. For application in an N budget, a field-scale assessment of the main factors affecting SOM mineralisation is required. The objective of this study was to quantify the influence of meteorological conditions and soil properties on N mineralised by SOM in an agroecosystem. The N mineralised from the SOM was calculated as the N uptake of the unfertilised plot minus the N derived from atmospheric deposition and irrigation. This study analysed 29 years of crop, agrometeorological, and soil data from three maize cropping systems (maize for grain, maize for silage, and maize-It. ryegrass double cropping) in a long-term experiment conducted in NW Italy. A Linear Mixed Model (LMM) was developed for the purpose of this study. The average of N derived from SOM mineralisation predicted by the model was 96&amp;amp;#8239;kg&amp;amp;#8239;N ha&amp;amp;#8722;1&amp;amp;#160;yr&amp;amp;#8722;1, with a root mean square error of 22&amp;amp;#8239;kg&amp;amp;#8239;N ha&amp;amp;#8722;1&amp;amp;#160;yr&amp;amp;#8722;1. The fixed factors of LMM, which are soil organic carbon (SOC), carbon-to-nitrogen ratio (C/N) and the sum of rainfall and irrigation (R.I.), were responsible for 19&amp;amp;#8239;% of the annual variations in mineralised N. SOC and R.I. had a positive effect and greater weight on the process, whereas C/N had a negative effect and lower weight. The explanatory power of the model increased to 52&amp;amp;#8239;% when cropping systems and interannual variability were included as random factors. This study highlights the importance of weather conditions and SOC content in determining the amount of N derived from soil mineralisation and can contribute to plant nutrition. In a future climate scenario characterised by increased aridity, N mineralisation could decrease, thus increasing the demand for fertilisers.&lt;/p&gt;&lt;/article&gt;</dct:abstract>
    <dc:title>Factors influencing nitrogen derived from soil organic matter mineralisation: Results from a long-term experiment</dc:title>
    <dc:identifier>2318/2070051</dc:identifier>
    <dct:relation>101000224</dct:relation>
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