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Enhancing off-season maize production through tailored nitrogen management and advanced cultivar selection techniques

dc.contributor.authorOliveira, Bruno Rodrigues de
dc.contributor.authorRatke, Rafael Felippe
dc.contributor.authorSteiner, Fábio
dc.contributor.authorAl-Askar, Abdulaziz A.
dc.contributor.authorAguilera, Jorge González
dc.contributor.authorHashem, Amr H.
dc.contributor.authorSheteiwy, Mohamed S.
dc.contributor.authorSobrinho, Renato Lustosa [UNESP]
dc.contributor.authorEl-Tayeb, Mohamed A.
dc.contributor.authorAbdElgawad, Hamada
dc.contributor.authorMorales-Aranibar, Luis
dc.contributor.authorMarques, Luciano Façanha
dc.contributor.authorZuffo, Alan Mario
dc.contributor.institutionPantanal Editora
dc.contributor.institutionFederal University of Mato Grosso do Sul
dc.contributor.institutionState University of Mato Grosso do Sul
dc.contributor.institutionKing Saud University
dc.contributor.institutionAl-Azhar University
dc.contributor.institutionUnited Arab Emirates University
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.contributor.institutionUniversity of Antwerp
dc.contributor.institutionNational Intercultural University of Quillabamba
dc.contributor.institutionState University of Maranhão
dc.contributor.institutionMansoura University
dc.date.accessioned2025-04-29T20:10:45Z
dc.date.issued2025-03-01
dc.description.abstractContext: Climate change can trigger excessive rainfall, making mechanized soybean harvesting unfeasible. The off-season maize cultivation can benefit from soybean-maize rotation system, inoculated with Bradyrhizobium spp. strains, as a potential biological source of nitrogen (N). To meet the nutritional demand of maize crops, N fertilization management is essential. Recent research has sought to understand how maize cultivars respond to mineral N application. Objective: In this work, we used a modern methodology to select maize cultivars with greater response to different application inputs of mineral N fertilizer, including N derived from soybean crop residues. Methods: We used the Manhattan distance to verify the similarity between the responses of four maize cultivars (30F53VYHR, AG8700 PRO3, B2433PWU, and SYN7G17 TL) that were either unfertilized or fertilized with 40, 80, 120, and 160 kg N ha−1. The Technique for Order of Preference by Similarity to the Ideal Solution method was applied to select the most responsive cultivar. Results and conclusions: Among the four maize cultivars, SYN7G17TL and AG8700PRO3 are more responsive to N fertilizer application in medium and high-fertility agricultural soils, respectively. When soil fertility levels are disregarded, the AG8700PRO3 cultivar has greater potential response to N fertilization, agreeing with previous studies. Significance: The proposed approach is easy to use and adapt and provides an appropriate mechanism for selecting maize cultivars sown in areas with soybean residues, thus contributing to more sustainable planting as it adequately assesses nitrogen management.en
dc.description.affiliationPantanal Editora, MT
dc.description.affiliationDepartment of Agronomy Federal University of Mato Grosso do Sul, MS
dc.description.affiliationDepartment of Agronomy State University of Mato Grosso do Sul, MS
dc.description.affiliationDepartment of Botany and Microbiology Faculty of Science King Saud University, P.O. Box 2455
dc.description.affiliationBotany and Microbiology Department Faculty of Science Al-Azhar University
dc.description.affiliationDepartment of Integrative Agriculture College of Agriculture and Veterinary Medicine United Arab Emirates University, P.O. Box 15551, Abu Dhabi
dc.description.affiliationDepartment of Plant Protection Rural Engineering and Soils (DEFERS) São Paulo State University (UNESP), SP
dc.description.affiliationIntegrated Molecular Plant Physiology Research Department of Biology University of Antwerp
dc.description.affiliationNational Intercultural University of Quillabamba
dc.description.affiliationDepartment of Agronomy State University of Maranhão, MA
dc.description.affiliationDepartment of Agronomy Faculty of Agriculture Mansoura University
dc.description.affiliationUnespDepartment of Plant Protection Rural Engineering and Soils (DEFERS) São Paulo State University (UNESP), SP
dc.description.sponsorshipKing Saud University
dc.description.sponsorshipIdKing Saud University: RSPD2024R678
dc.identifierhttp://dx.doi.org/10.1016/j.agsy.2024.104239
dc.identifier.citationAgricultural Systems, v. 224.
dc.identifier.doi10.1016/j.agsy.2024.104239
dc.identifier.issn0308-521X
dc.identifier.scopus2-s2.0-85211600896
dc.identifier.urihttps://hdl.handle.net/11449/307955
dc.language.isoeng
dc.relation.ispartofAgricultural Systems
dc.sourceScopus
dc.subjectDecision making modeling
dc.subjectLand use systems
dc.subjectMulti-criteria assessment
dc.subjectOff-season maize
dc.subjectZea mays L
dc.titleEnhancing off-season maize production through tailored nitrogen management and advanced cultivar selection techniquesen
dc.typeArtigopt
dspace.entity.typePublication

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