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Quantifying the Spatiotemporal Variations of Soil Nitrogen Fixation or Absorption from Soybean, Cotton, and Maize Planted Fields to Support Sustainable Agriculture Practices

dc.contributor.authorBofana, José
dc.contributor.authorMussane, Raul Domingos
dc.contributor.authorTamele, Rosalina Armando
dc.contributor.authorCosta, Ana Cristina
dc.contributor.authorSavanguane, Barreta
dc.contributor.authorPopinsky, Ivans
dc.contributor.authorMatusse, António F.
dc.contributor.institutionInformation Management Research Center (MagIC) - NOVA Information Management School
dc.contributor.institutionNOVA Information Management School (NOVA IMS)
dc.contributor.pblMDPI - Multidisciplinary Digital Publishing Institute
dc.date.accessioned2024-12-18T17:43:24Z
dc.date.available2024-12-18T17:43:24Z
dc.date.issued2024-12-12
dc.descriptionBofana, J., Mussane, R. D., Tamele, R. A., Costa, A. C., Savanguane, B., Popinsky, I., & Matusse, A. F. (2024). Quantifying the Spatiotemporal Variations of Soil Nitrogen Fixation or Absorption from Soybean, Cotton, and Maize Planted Fields to Support Sustainable Agriculture Practices. Nitrogen, 5(4), 1135-1155. https://doi.org/10.3390/nitrogen5040073 --- This research and the APC were funded by the SASAKAWA AFRICA ASSOCIATION (SSA) through the SASAKAWA AFRICA FUND FOR EXTENSION EDUCATION (SAFE) project. The authors would like to express their gratitude to the Universidade Católica de Moçambique, Faculdade de Ciências Agronómicas for granting the research team access to the organization’s facilities, namely the Soil and Water Laboratory and Experimental Field. They also wish to extend their gratitude to the Grupo João Ferreira dos Santos, Sociedade Algodoeira do Niassa (JFS-San) for the unconditional support and to those who contributed to this research, either by assisting with its activities or offering recommendations for enhancing the manuscript (specially to Mr Miquitaio João Rego and Samuel Nito Miguel Mussava, for their help in refining the research topic). Ana Cristina Costa acknowledges the support from the Information Management Research Center (MagIC)—NOVA Information Management School, Lisbon, Portugal, funded by FCT, Fundação para a Ciência e Tecnologia, I.P. (https://doi.org/10.54499/CEECINST/00102/2018/CP1567/CT0002).
dc.description.abstractSustainable agricultural practices are pivotal for environmental preservation and enhancing crop quality. Understanding soil nutrient levels is crucial in determining appropriate fertilizer application in agriculture production systems. In the 2022/23 agricultural season, an experiment that aimed to investigate the spatial distribution of nitrogen (N2) fixation or absorption in fields cultivated with diverse crops was carried out in Mozambique. Three experimental fields were established, and the following crops were used—maize (local variety), soybean (SAN-BEIB variety), and cotton (ALBAR SZ9314 variety)—each measuring 83.35 m × 30 m. A sampling grid of 13.9 m × 10 m facilitated the collection of 24 composite soil samples per field, consisting of 5 sub-samples within 12 cells, taken at a depth of 0.0–0.20 m before planting and after harvesting, totaling 12 samples per period per field. Laboratory analysis employed the Kjeldahl method to determine total soil nitrogen levels. The Inverse Distance Weighted (IDW) method was used for mapping the spatial total soil nitrogen distribution. The results revealed distinct total soil nitrogen credit and debit patterns. Variations were notable between pre-planting and post-harvest analyses in maize and cotton, showcasing high absorption and minimal fixation. Contrary to expectations, soybeans exhibited high absorption and low fixation, challenging the determination of optimal crop rotation intervals. Quantitative results identified specific total soil nitrogen debit efficiencies of approximately 1692.29 kg ha−1 in cotton and 1081.5 kg ha−1 in maize, respectively, and a credit of 459.215 kg ha−1 in soybeans. Despite discrepancies, this study serves as a foundational platform for future research. As the findings of this study advocate for continued crop rotation practices to bolster soil health and enhance nutrient utilization, it provides the first novel insights into nitrogen dynamics of global key crops in Mozambique, revealing significant variations in nitrogen fixation and absorption across different crop types and fields, which is crucial for informing tailored agricultural practices and soil fertility management strategies.en
dc.description.versionpublishersversion
dc.description.versionpublished
dc.format.extent21
dc.format.extent2484715
dc.identifier.doi10.3390/nitrogen5040073
dc.identifier.issn2504-3129
dc.identifier.otherPURE: 105004623
dc.identifier.otherPURE UUID: a5d85267-5e84-412f-a077-1c47e88a0169
dc.identifier.othercrossref: 10.3390/nitrogen5040073
dc.identifier.otherScopus: 85213503329
dc.identifier.otherWOS: 001384447600001
dc.identifier.otherORCID: /0000-0003-2904-1028/work/173996766
dc.identifier.urihttp://hdl.handle.net/10362/176504
dc.identifier.urlhttps://www.scopus.com/pages/publications/85213503329
dc.identifier.urlhttps://www.webofscience.com/wos/woscc/full-record/WOS:001384447600001
dc.language.isoeng
dc.peerreviewedyes
dc.relationhttps://doi.org/10.54499/CEECINST/00102/2018/CP1567/CT0002
dc.relationInformation Management Research Center
dc.subjectvariable application rate
dc.subjectN spatial distribution
dc.subjectplant size
dc.subjectseed vigor
dc.subjectspatial distribution
dc.subjectAgricultural and Biological Sciences (miscellaneous)
dc.subjectEarth and Planetary Sciences (miscellaneous)
dc.subjectEnvironmental Science (miscellaneous)
dc.subjectSDG 2 - Zero Hunger
dc.titleQuantifying the Spatiotemporal Variations of Soil Nitrogen Fixation or Absorption from Soybean, Cotton, and Maize Planted Fields to Support Sustainable Agriculture Practicesen
dc.typejournal article
degois.publication.firstPage1135
degois.publication.issue4
degois.publication.lastPage1155
degois.publication.titleNitrogen
degois.publication.volume5
dspace.entity.typePublication
oaire.awardNumberUIDB/04152/2020
oaire.awardTitleInformation Management Research Center
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04152%2F2020/PT
oaire.fundingStream6817 - DCRRNI ID
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccess
relation.isProjectOfPublication3274bdb3-4dd3-4bbe-8f74-d34190081f87
relation.isProjectOfPublication.latestForDiscovery3274bdb3-4dd3-4bbe-8f74-d34190081f87

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