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Energy and Environmental Assessment of Bacteria-Inoculated Mineral Fertilizer Used in Spring Barley Cultivation Technologies

Author

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  • Justinas Anušauskas

    (Faculty of Engineering, Agriculture Academy, Vytautas Magnus University, Studentu Str. 15A, LT-53362 Akademija, Kaunas District, Lithuania)

  • Andrius Grigas

    (Faculty of Engineering, Agriculture Academy, Vytautas Magnus University, Studentu Str. 15A, LT-53362 Akademija, Kaunas District, Lithuania)

  • Kristina Lekavičienė

    (Faculty of Engineering, Agriculture Academy, Vytautas Magnus University, Studentu Str. 15A, LT-53362 Akademija, Kaunas District, Lithuania)

  • Ernestas Zaleckas

    (Faculty of Engineering, Agriculture Academy, Vytautas Magnus University, Studentu Str. 15A, LT-53362 Akademija, Kaunas District, Lithuania)

  • Simona Paulikienė

    (Faculty of Engineering, Agriculture Academy, Vytautas Magnus University, Studentu Str. 15A, LT-53362 Akademija, Kaunas District, Lithuania)

  • Dainius Steponavičius

    (Faculty of Engineering, Agriculture Academy, Vytautas Magnus University, Studentu Str. 15A, LT-53362 Akademija, Kaunas District, Lithuania)

Abstract

In the scientific literature there is a lack of information on the integrated effect of bioenriched complex mineral fertilizers in the energy and environmental aspects of spring barley production technology. The aim of this study was to validate the type of phosphorus-releasing bacteria and to carry out an energy and environmental assessment of the use of mineral fertilizers enriched with them for barley fertilization. The experimental field studies (2020–2022) were carried out in open ground on sandy loam soil in southern Lithuania. Four barley cultivation technologies (SC) were applied. Control (SC–1) did not use complex mineral fertilizers; in SC–2, 300 kg ha −1 of N 5 P 20.5 K 36 fertilizer was applied. In SC–3, the same fertilizer was enriched with a bacterial inoculant ( Paenibacillus azotofixans , Bacillus megaterium , Bacillus mucilaginosus , and Bacillus mycoides ) at a rate of 150 kg ha −1 , and in SC–4, 300 kg ha −1 of N 5 P 20.5 K 36 fertilizer were applied and the same enrichment with the bacterial inoculant was carried out. The results confirmed the hypothesis that spring barley cultivation technologies using bacterial inoculants (SC–3 and SC–4) have higher mineral fertilizer efficiency than SC–2. In all three years, the bacterial inoculant had a positive effect on phosphorus fertilizer efficiency. In SC–4 (2020) it was 8%, in 2021—7%, and in 2022—even 17% higher compared to SC–2. In terms of energy balance, a significant influence of the bacterial inoculant was found. In 2020 and 2021, the energy balance of SC–4 was 10%, and in 2022, 22.8% higher compared to SC–2. The increase in fertilizer use efficiency resulted in a positive environmental impact, with greenhouse gas (GHG) emissions decreasing by 10% in 2020, 15% in 2021, and 19% in 2022 when comparing SC–4 and SC–2. The use of the tested bacterial formulations, without changing the mineral fertilizer rate, can lead to an average reduction in GHG emissions of about 15%. This study demonstrates that enriching mineral fertilizers with specific bacterial inoculants for spring barley cultivation significantly enhances phosphorus efficiency, improves energy balance, and reduces greenhouse gas emissions, underscoring the potential for bioaugmented fertilizers to optimize agricultural sustainability.

Suggested Citation

  • Justinas Anušauskas & Andrius Grigas & Kristina Lekavičienė & Ernestas Zaleckas & Simona Paulikienė & Dainius Steponavičius, 2024. "Energy and Environmental Assessment of Bacteria-Inoculated Mineral Fertilizer Used in Spring Barley Cultivation Technologies," Agriculture, MDPI, vol. 14(4), pages 1-22, April.
  • Handle: RePEc:gam:jagris:v:14:y:2024:i:4:p:569-:d:1369208
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    1. Khoshnevisan, Benyamin & Rafiee, Shahin & Omid, Mahmoud & Mousazadeh, Hossein, 2013. "Reduction of CO2 emission by improving energy use efficiency of greenhouse cucumber production using DEA approach," Energy, Elsevier, vol. 55(C), pages 676-682.
    2. Ozkan, Burhan & Akcaoz, Handan & Fert, Cemal, 2004. "Energy input–output analysis in Turkish agriculture," Renewable Energy, Elsevier, vol. 29(1), pages 39-51.
    3. Pishgar-Komleh, Seyyed Hassan & Omid, Mahmoud & Heidari, Mohammad Davoud, 2013. "On the study of energy use and GHG (greenhouse gas) emissions in greenhouse cucumber production in Yazd province," Energy, Elsevier, vol. 59(C), pages 63-71.
    4. Šarauskis, Egidijus & Buragienė, Sidona & Masilionytė, Laura & Romaneckas, Kęstutis & Avižienytė, Dovile & Sakalauskas, Antanas, 2014. "Energy balance, costs and CO2 analysis of tillage technologies in maize cultivation," Energy, Elsevier, vol. 69(C), pages 227-235.
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