TY - JOUR
T1 - Enhancing off-season maize production through tailored nitrogen management and advanced cultivar selection techniques
AU - Oliveira, Bruno Rodrigues de
AU - Ratke, Rafael Felippe
AU - Steiner, Fábio
AU - Al-Askar, Abdulaziz A.
AU - Aguilera, Jorge González
AU - Hashem, Amr H.
AU - Sheteiwy, Mohamed S.
AU - Sobrinho, Renato Lustosa
AU - El-Tayeb, Mohamed A.
AU - AbdElgawad, Hamada
AU - Morales-Aranibar, Luis
AU - Marques, Luciano Façanha
AU - Zuffo, Alan Mario
N1 - Publisher Copyright:
© 2024 Elsevier Ltd
PY - 2025/3
Y1 - 2025/3
N2 - Context: 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.
AB - Context: 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.
KW - Decision making modeling
KW - Land use systems
KW - Multi-criteria assessment
KW - Off-season maize
KW - Zea mays L
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U2 - 10.1016/j.agsy.2024.104239
DO - 10.1016/j.agsy.2024.104239
M3 - Article
AN - SCOPUS:85211600896
SN - 0308-521X
VL - 224
JO - Agricultural Systems
JF - Agricultural Systems
M1 - 104239
ER -