The Impact of a Controlled-Release Fertilizer on Greenhouse Gas Emissions and the Efficiency of the Production of Chinese Cabbage

Jakub Sikora , Marcin Niemiec , Anna Szeląg-Sikora , Zofia Gródek-Szostak , Maciej Kuboń , Monika Komorowska

Abstract

Optimization of plant fertilization is an important element of all quality systems in primary production, such as Integrated Production, GLOBAL G.A.P. (Good Agriculture Practice) or SAI (Sustainable Agriculture Initiative). Fertilization is the most important element of agricultural treatments, affecting the quantity and quality of crops. The aim of the study was to assess greenhouse gas (GHG) emissions in the cultivation of Chinese cabbage, depending on the technological variant. The factor modifying the production technology was the use of fertilizers with a slow release of nutrients. One tonne of marketable Chinese cabbage crop was selected as the functional unit. To achieve the research goal, a strict field experiment was carried out. Calculation of the total amount of GHG emitted from the crop was made in accordance with ISO 14040 and ISO 14044. The system boundaries included the production and use of fertilizers and pesticides, energy consumption for agricultural practices and the emission of gases from soil resources and harvesting residue. The use of slow-release fertilizers resulted in a greater marketable yield of cabbage compared to conventional fertilizers. The results of the research indicate a significant potential for the use of slow-release fertilizers in reducing agricultural emissions. From the environmental and production point of view, the most favourable variant is the one with 108 kg N·ha−1 slow-release fertilizers. At a higher dose of this element, no increase in crop yield was observed. At this nitrogen dose, a 30% reduction in total GHG emissions and a 50% reduction in fertilizer emissions from the use of per product functional unit were observed. The reference object was fertilization in accordance with production practice in the test area.
Author Jakub Sikora (FoPaPE / Department of Bioprocess Engineering, Power Engineering and Automation)
Jakub Sikora,,
- Department of Bioprocess Engineering, Power Engineering and Automation
, Marcin Niemiec (FoAaE / DoAaECh)
Marcin Niemiec,,
- Department of Agricultural and Environmental Chemistry
, Anna Szeląg-Sikora (FoPaPE / Department of Production Engineering, Logistics and Applied Computer Science)
Anna Szeląg-Sikora,,
- Department of Production Engineering, Logistics and Applied Computer Science
, Zofia Gródek-Szostak - Cracow University of Economics (UEK)
Zofia Gródek-Szostak,,
-
, Maciej Kuboń (FoPaPE / Department of Production Engineering, Logistics and Applied Computer Science)
Maciej Kuboń,,
- Department of Production Engineering, Logistics and Applied Computer Science
, Monika Komorowska (FoBaH / Department of Horticulture)
Monika Komorowska,,
- Department of Horticulture
Journal seriesEnergies, [ENERGIES], ISSN 1996-1073, (N/A 140 pkt)
Issue year2020
Vol13
No8
Pages1-14
Publication size in sheets0.65
Article number2063
Conference6th International Conference on Renewable Energy Sources (ICoRES 2019), 12-06-2019 - 14-06-2019, Krynica, Polska
Keywords in Englishgreenhouse gases; efficiency; agriculture; slow release fertilizers; Chinese cabbage
ASJC Classification1700 General Computer Science
DOIDOI:10.3390/en13082063
URL https://www.mdpi.com/1996-1073/13/8/2063/pdf
Languageen angielski
LicenseJournal (articles only); author's original; Uznanie Autorstwa (CC-BY); after publication
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The Impact of a Controlled-Release Fertilizer on Greenhouse Gas Emissions and the Efficiency of the Production of Chinese Cabbage of 22-04-2020
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Score (nominal)140
Score sourcejournalList
Publication indicators Scopus SNIP (Source Normalised Impact per Paper): 2018 = 1.156; WoS Impact Factor: 2018 = 2.707 (2) - 2018=2.99 (5)
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Uwagi(This article belongs to the Special Issue Selected paper from 6th International Conference on Renewable Energy Sources (ICoRES 2019)
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* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
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