IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v12y2019i9p1713-d228659.html
   My bibliography  Save this article

Evaluation of the Use of Energy in the Production of Sweet Sorghum ( Sorghum Bicolor (L.) Moench) under Different Production Systems

Author

Listed:
  • Iosvany López-Sandin

    (Facultad de Agronomía, Universidad Autónoma de Nuevo León, Francisco Villa S/N Col. Ex Hacienda El Canadá, 66415 General Escobedo, N.L., Mexico
    Departamento de Mecánica Aplicada, Facultad de Ciencias Técnicas, Universidad de Ciego de Ávila, Carretera a Morón, Km 9 1/2, 69450 Ciego de Ávila, Cuba)

  • Guadalupe Gutiérrez-Soto

    (Facultad de Agronomía, Universidad Autónoma de Nuevo León, Francisco Villa S/N Col. Ex Hacienda El Canadá, 66415 General Escobedo, N.L., Mexico)

  • Adriana Gutiérrez-Díez

    (Facultad de Agronomía, Universidad Autónoma de Nuevo León, Francisco Villa S/N Col. Ex Hacienda El Canadá, 66415 General Escobedo, N.L., Mexico)

  • Nancy Medina-Herrera

    (Facultad de Agronomía, Universidad Autónoma de Nuevo León, Francisco Villa S/N Col. Ex Hacienda El Canadá, 66415 General Escobedo, N.L., Mexico)

  • Edgar Gutiérrez-Castorena

    (Facultad de Agronomía, Universidad Autónoma de Nuevo León, Francisco Villa S/N Col. Ex Hacienda El Canadá, 66415 General Escobedo, N.L., Mexico)

  • Francisco Zavala-García

    (Facultad de Agronomía, Universidad Autónoma de Nuevo León, Francisco Villa S/N Col. Ex Hacienda El Canadá, 66415 General Escobedo, N.L., Mexico)

Abstract

The growing global demand for energy and the reduction of energy based on oil are driving the search for new sources of energy that are environmentally friendly. To achieve this goal, it is also necessary to optimize the related processes. In this study, the behavior of the agronomic parameters of, and the energy invested in, production systems based on a new variety of sweet sorghum ( Sorghum bicolor (L.) Moench) called ROGER were determined to define the optimal production conditions. To this end, three methods of tillage (minimum, traditional, and traditional tillage with rupture of the plow layer) and three types of fertilizers (inorganic, organic, and without fertilizer) were established, and to estimate the energy efficiency, the inputs and the energy outputs of each system were considered. The traditional tillage with breaking of the plow layer and the organic fertilizer showed the highest values of plant height (2.45 and 2.39 m, respectively); total fresh weight of the plant (51.66 and 50.77 t·ha −1 , respectively), of the stem (42.7 and 41.05 t·ha −1 , respectively), and of the juice (21.89 and 22.57 t·ha −1 , respectively); the volume of the juice (20,783.12 and 22,529.59 L·ha −1 , respectively); and Brix degrees (16.04% and 15.01%, respectively). However, the highest energy efficiency was registered in the production system that used the minimum tillage, with a value of 15.11, as well as when no fertilizer was applied with 18.68.

Suggested Citation

  • Iosvany López-Sandin & Guadalupe Gutiérrez-Soto & Adriana Gutiérrez-Díez & Nancy Medina-Herrera & Edgar Gutiérrez-Castorena & Francisco Zavala-García, 2019. "Evaluation of the Use of Energy in the Production of Sweet Sorghum ( Sorghum Bicolor (L.) Moench) under Different Production Systems," Energies, MDPI, vol. 12(9), pages 1-13, May.
  • Handle: RePEc:gam:jeners:v:12:y:2019:i:9:p:1713-:d:228659
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/12/9/1713/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/12/9/1713/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Larnaudie, Valeria & Rochón, Eloísa & Ferrari, Mario Daniel & Lareo, Claudia, 2016. "Energy evaluation of fuel bioethanol production from sweet sorghum using very high gravity (VHG) conditions," Renewable Energy, Elsevier, vol. 88(C), pages 280-287.
    2. Arkadiusz Dyjakon, 2018. "The Influence of the Use of Windrowers in Baler Machinery on the Energy Balance during Pruned Biomass Harvesting in the Apple Orchard," Energies, MDPI, vol. 11(11), pages 1-15, November.
    3. Anna, Petrenko, 2016. "Мaркування готової продукції як складова частина інформаційного забезпечення маркетингової діяльності підприємств овочепродуктового підкомплексу," Agricultural and Resource Economics: International Scientific E-Journal, Agricultural and Resource Economics: International Scientific E-Journal, vol. 2(1), March.
    4. Pervanchon, F. & Bockstaller, C. & Girardin, P., 2002. "Assessment of energy use in arable farming systems by means of an agro-ecological indicator: the energy indicator," Agricultural Systems, Elsevier, vol. 72(2), pages 149-172, May.
    5. Esengun, Kemal & Erdal, Gülistan & Gündüz, Orhan & Erdal, Hilmi, 2007. "An economic analysis and energy use in stake-tomato production in Tokat province of Turkey," Renewable Energy, Elsevier, vol. 32(11), pages 1873-1881.
    6. Hatirli, Selim Adem & Ozkan, Burhan & Fert, Cemal, 2005. "An econometric analysis of energy input-output in Turkish agriculture," Renewable and Sustainable Energy Reviews, Elsevier, vol. 9(6), pages 608-623, December.
    7. Ren, Lan Tian & Liu, Zu Xin & Wei, Tong Yang & Xie, Guang Hui, 2012. "Evaluation of energy input and output of sweet sorghum grown as a bioenergy crop on coastal saline-alkali land," Energy, Elsevier, vol. 47(1), pages 166-173.
    8. Tabatabaeefar, A. & Emamzadeh, H. & Varnamkhasti, M. Ghasemi & Rahimizadeh, R. & Karimi, M., 2009. "Comparison of energy of tillage systems in wheat production," Energy, Elsevier, vol. 34(1), pages 41-45.
    9. Yilmaz, Ibrahim & Akcaoz, Handan & Ozkan, Burhan, 2005. "An analysis of energy use and input costs for cotton production in Turkey," Renewable Energy, Elsevier, vol. 30(2), pages 145-155.
    10. Su, Yujie & Zhang, Peidong & Su, Yuqing, 2015. "An overview of biofuels policies and industrialization in the major biofuel producing countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 991-1003.
    11. Agostinho Rocha & Armando Araújo & Adriano Carvalho & João Sepulveda, 2018. "A New Approach for Real Time Train Energy Efficiency Optimization," Energies, MDPI, vol. 11(10), pages 1-21, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Mahmoud F. Seleiman & Nasser Al-Suhaibani & Salah El-Hendawy & Kamel Abdella & Majed Alotaibi & Ali Alderfasi, 2021. "Impacts of Long- and Short-Term of Irrigation with Treated Wastewater and Synthetic Fertilizers on the Growth, Biomass, Heavy Metal Content, and Energy Traits of Three Potential Bioenergy Crops in Ari," Energies, MDPI, vol. 14(11), pages 1-22, May.
    2. Jéssica Bárbara da Silva & Edvaldo Pereira Santos Júnior & João Gabriel Távora Pedrosa & Aldo Torres Sales & Everardo Valadares de Sa Barretto Sampaio & Rômulo Simões Cezar Menezes & Emmanuel Damilano, 2022. "Energetic and Economic Analysis of Spineless Cactus Biomass Production in the Brazilian Semi-arid Region," Energies, MDPI, vol. 15(14), pages 1-16, July.
    3. Htwe, Than & Sinutok, Sutinee & Chotikarn, Ponlachart & Amin, Nowshad & Akhtaruzzaman, Md & Techato, Kuaanan & Hossain, Tareq, 2021. "Energy use efficiency and cost-benefits analysis of rice cultivation: A study on conventional and alternative methods in Myanmar," Energy, Elsevier, vol. 214(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Oleg Bazaluk & Valerii Havrysh & Mykhailo Fedorchuk & Vitalii Nitsenko, 2021. "Energy Assessment of Sorghum Cultivation in Southern Ukraine," Agriculture, MDPI, vol. 11(8), pages 1-22, July.
    2. Alhajj Ali, Salem & Tedone, Luigi & De Mastro, Giuseppe, 2013. "A comparison of the energy consumption of rainfed durum wheat under different management scenarios in southern Italy," Energy, Elsevier, vol. 61(C), pages 308-318.
    3. Jéssica Bárbara da Silva & Edvaldo Pereira Santos Júnior & João Gabriel Távora Pedrosa & Aldo Torres Sales & Everardo Valadares de Sa Barretto Sampaio & Rômulo Simões Cezar Menezes & Emmanuel Damilano, 2022. "Energetic and Economic Analysis of Spineless Cactus Biomass Production in the Brazilian Semi-arid Region," Energies, MDPI, vol. 15(14), pages 1-16, July.
    4. Tabatabaie, Seyed Mohammad Hossein & Rafiee, Shahin & Keyhani, Alireza & Heidari, Mohammad Davoud, 2013. "Energy use pattern and sensitivity analysis of energy inputs and input costs for pear production in Iran," Renewable Energy, Elsevier, vol. 51(C), pages 7-12.
    5. Ghorbani, Reza & Mondani, Farzad & Amirmoradi, Shahram & Feizi, Hassan & Khorramdel, Surror & Teimouri, Mozhgan & Sanjani, Sara & Anvarkhah, Sepideh & Aghel, Hassan, 2011. "A case study of energy use and economical analysis of irrigated and dryland wheat production systems," Applied Energy, Elsevier, vol. 88(1), pages 283-288, January.
    6. Kazemi, Hossein & Kamkar, Behnam & Lakzaei, Somayeh & Badsar, Meysam & Shahbyki, Malihe, 2015. "Energy flow analysis for rice production in different geographical regions of Iran," Energy, Elsevier, vol. 84(C), pages 390-396.
    7. Mohammadi, Ali & Omid, Mahmoud, 2010. "Economical analysis and relation between energy inputs and yield of greenhouse cucumber production in Iran," Applied Energy, Elsevier, vol. 87(1), pages 191-196, January.
    8. Elsoragaby, Suha & Yahya, Azmi & Mahadi, Muhammad Razif & Nawi, Nazmi Mat & Mairghany, Modather, 2019. "Energy utilization in major crop cultivation," Energy, Elsevier, vol. 173(C), pages 1285-1303.
    9. Pishgar-Komleh, S.H. & Sefeedpari, P. & Rafiee, S., 2011. "Energy and economic analysis of rice production under different farm levels in Guilan province of Iran," Energy, Elsevier, vol. 36(10), pages 5824-5831.
    10. Torki-Harchegani, Mehdi & Ebrahimi, Rahim & Mahmoodi-Eshkaftaki, Mahmood, 2015. "Almond production in Iran: An analysis of energy use efficiency (2008–2011)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 217-224.
    11. Elahi, Ehsan & Weijun, Cui & Jha, Sunil Kumar & Zhang, Huiming, 2019. "Estimation of realistic renewable and non-renewable energy use targets for livestock production systems utilising an artificial neural network method: A step towards livestock sustainability," Energy, Elsevier, vol. 183(C), pages 191-204.
    12. Singh, Pritpal & Singh, Gurdeep & Sodhi, G.P.S., 2019. "Applying DEA optimization approach for energy auditing in wheat cultivation under rice-wheat and cotton-wheat cropping systems in north-western India," Energy, Elsevier, vol. 181(C), pages 18-28.
    13. Tabatabaie, Seyed Mohammad Hossein & Rafiee, Shahin & Keyhani, Alireza, 2012. "Energy consumption flow and econometric models of two plum cultivars productions in Tehran province of Iran," Energy, Elsevier, vol. 44(1), pages 211-216.
    14. Pishgar-Komleh, Seyyed Hassan & Keyhani, Alireza & Mostofi-Sarkari, Mohammad Reza & Jafari, Ali, 2012. "Energy and economic analysis of different seed corn harvesting systems in Iran," Energy, Elsevier, vol. 43(1), pages 469-476.
    15. Pishgar Komleh, S.H. & Keyhani, A. & Rafiee, Sh. & Sefeedpary, P., 2011. "Energy use and economic analysis of corn silage production under three cultivated area levels in Tehran province of Iran," Energy, Elsevier, vol. 36(5), pages 3335-3341.
    16. Zangeneh, Morteza & Omid, Mahmoud & Akram, Asadollah, 2010. "A comparative study on energy use and cost analysis of potato production under different farming technologies in Hamadan province of Iran," Energy, Elsevier, vol. 35(7), pages 2927-2933.
    17. Jamali, Mohsen & Soufizadeh, Saeid & Yeganeh, Bijan & Emam, Yahya, 2021. "A comparative study of irrigation techniques for energy flow and greenhouse gas (GHG) emissions in wheat agroecosystems under contrasting environments in south of Iran," Renewable and Sustainable Energy Reviews, Elsevier, vol. 139(C).
    18. Barut, Zeliha Bereket & Ertekin, Can & Karaagac, Hasan Ali, 2011. "Tillage effects on energy use for corn silage in Mediterranean Coastal of Turkey," Energy, Elsevier, vol. 36(9), pages 5466-5475.
    19. Pritpal Singh & Gurdeep Singh & G. P. S. Sodhi, 2022. "Data envelopment analysis based optimization for improving net ecosystem carbon and energy budget in cotton (Gossypium hirsutum L.) cultivation: methods and a case study of north-western India," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(2), pages 2079-2119, February.
    20. Khoshnevisan, Benyamin & Rafiee, Shahin & Omid, Mahmoud & Yousefi, Marziye & Movahedi, Mehran, 2013. "Modeling of energy consumption and GHG (greenhouse gas) emissions in wheat production in Esfahan province of Iran using artificial neural networks," Energy, Elsevier, vol. 52(C), pages 333-338.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:12:y:2019:i:9:p:1713-:d:228659. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.