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Crop Technology, Cultivation System, and Maize Production Characteristics

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  • Daniel Păcurar

    (Faculty of Agriculture, University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca, 3-5 Calea Mănăștur, 400372 Cluj-Napoca, Romania)

  • Horia Pop

    (Faculty of Silviculture and Cadaster, University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca, 3-5 Calea Mănăștur, 400372 Cluj-Napoca, Romania)

  • Ioan Oroian

    (Faculty of Agriculture, University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca, 3-5 Calea Mănăștur, 400372 Cluj-Napoca, Romania)

  • Petru Burduhos

    (Faculty of Agriculture, University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca, 3-5 Calea Mănăștur, 400372 Cluj-Napoca, Romania)

  • Oana Abrudan (Radu)

    (Faculty of Agriculture, University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca, 3-5 Calea Mănăștur, 400372 Cluj-Napoca, Romania)

  • Cristian Mălinaș

    (Faculty of Agriculture, University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca, 3-5 Calea Mănăștur, 400372 Cluj-Napoca, Romania)

  • Antonia Cristina Maria Odagiu

    (Faculty of Agriculture, University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca, 3-5 Calea Mănăștur, 400372 Cluj-Napoca, Romania)

Abstract

The maize crop is an essential contributor to food security. At a global level, it is the cereal with the highest production, and the second imported commodity. This study evaluates the impact of precision agriculture on the morpho-productive traits and agronomic efficiency of the Turda 201 maize hybrid under distinct cultivation systems. A bifactorial field trial was conducted in Cojocna, Transylvania (Romania), using two factors: the farming system (organic vs. conventional) and the cultivation technology (standard vs. precision). The work hypothesis is that precision agriculture can enhance maize performance compared to standard methods. The results indicated that morphological traits such as plant height (197 cm), cob length (17.20 cm), and leaf number (10.60) were significantly higher in the conventional system, particularly under precision technology. In the organic system, while improvements were observed with precision input, overall growth and yield remained lower. The same trends are seen in production traits, which are lower in an organic system compared with conventional (6464.22 kg/ha vs. 9204 kg/ha, when precision technology was used). Agronomic efficiency has a spectacular increase in the conventional–precision experimental variant (4.92 kg/kg) compared with the organic–standard experimental variant (0.002 kg/kg). Crude protein, dry matter, nitrogen-free matter, and starch content are the main qualitative maize characteristics influenced by the cropping system and technology. The conventional–precision experimental variant led to the highest values of the above-mentioned parameters compared with the organic–standard experimental variant (86.90% vs. 83.60% dry matter; 10.75% vs. 8.65% crude protein; 72.60% vs. 64.40% nitrogen-free matter; 83.15% vs. 79.50% starch). Principal Component Analysis revealed that the crop system (PC1) was the dominant factor influencing morpho-productive traits, while environmental factors (PC2) contributed mainly to the variability of the characteristics. These findings support the use of precision agriculture as a tool for enhancing sustainable maize production, particularly in conventional systems.

Suggested Citation

  • Daniel Păcurar & Horia Pop & Ioan Oroian & Petru Burduhos & Oana Abrudan (Radu) & Cristian Mălinaș & Antonia Cristina Maria Odagiu, 2025. "Crop Technology, Cultivation System, and Maize Production Characteristics," Sustainability, MDPI, vol. 17(9), pages 1-22, May.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:9:p:4132-:d:1648490
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    References listed on IDEAS

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    1. Viktória Benďáková & Henrietta Nagy & Natália Turčeková & Izabela Adamičková & Peter Bielik, 2024. "Assessing the Climate Change Impacts on Maize Production in the Slovak Republic and Their Relevance to Sustainability: A Case Study," Sustainability, MDPI, vol. 16(13), pages 1-21, June.
    2. Maria Laskari & Georgios C. Menexes & Ilias Kalfas & Ioannis Gatzolis & Christos Dordas, 2022. "Effects of Fertilization on Morphological and Physiological Characteristics and Environmental Cost of Maize ( Zea mays L.)," Sustainability, MDPI, vol. 14(14), pages 1-17, July.
    3. Martina Lori & Sarah Symnaczik & Paul Mäder & Gerlinde De Deyn & Andreas Gattinger, 2017. "Organic farming enhances soil microbial abundance and activity—A meta-analysis and meta-regression," PLOS ONE, Public Library of Science, vol. 12(7), pages 1-25, July.
    4. Yuan Gao & Anyu Zhang & Yaojie Yue & Jing’ai Wang & Peng Su, 2021. "Predicting Shifts in Land Suitability for Maize Cultivation Worldwide Due to Climate Change: A Modeling Approach," Land, MDPI, vol. 10(3), pages 1-31, March.
    5. Verena Seufert & Navin Ramankutty & Jonathan A. Foley, 2012. "Comparing the yields of organic and conventional agriculture," Nature, Nature, vol. 485(7397), pages 229-232, May.
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