IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v13y2020i1p201-d304184.html
   My bibliography  Save this article

Dry Above Ground Biomass for a Soybean Crop Using an Empirical Model in Greece

Author

Listed:
  • Christos Vamvakoulas

    (Laboratory of Agricultural Hydraulics, Department of Natural Resources Development and Agricultural Engineering, Agricultural University of Athens, 75 Iera Odos str., 11855 Athens, Greece)

  • Stavros Alexandris

    (Laboratory of Agricultural Hydraulics, Department of Natural Resources Development and Agricultural Engineering, Agricultural University of Athens, 75 Iera Odos str., 11855 Athens, Greece)

  • Ioannis Argyrokastritis

    (Laboratory of Agricultural Hydraulics, Department of Natural Resources Development and Agricultural Engineering, Agricultural University of Athens, 75 Iera Odos str., 11855 Athens, Greece)

Abstract

A new empirical equation for the estimation of daily dry above ground biomass (D-AGB) for a hybrid of soybean ( Glycine max L.) is proposed. This equation requires data for three crop dependent parameters; leaf area index, plant height, and cumulative crop evapotranspiration. Bilinear surface regression analysis was used in order to estimate the factors entering in the empirical model. For the calibration of the proposed model, data yielded from a well-watered soybean crop for the year 2015, in the experimental field (0.1 ha) of the agricultural University of Athens, were used as a reference. Verification of the validity of the model was obtained by using data from a 2014 cultivation period for well-watered soybean cultivation (100% of crop evapotranspiration water treatment), as well as data from three irrigation treatments (75%, 50%, 25% of crop evapotranspiration) for two cultivation periods (2014–2015). The proposed method for the estimation of D-AGB may be proven as a useful tool for estimations without using destructive sampling.

Suggested Citation

  • Christos Vamvakoulas & Stavros Alexandris & Ioannis Argyrokastritis, 2020. "Dry Above Ground Biomass for a Soybean Crop Using an Empirical Model in Greece," Energies, MDPI, vol. 13(1), pages 1-9, January.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:1:p:201-:d:304184
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/13/1/201/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/13/1/201/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Dalvi, V. B. & Tiwari, K. N. & Pawade, M. N. & Phirke, P. S., 1999. "Response surface analysis of tomato production under microirrigation," Agricultural Water Management, Elsevier, vol. 41(1), pages 11-19, June.
    2. Alexandris, S. & Kerkides, P., 2003. "New empirical formula for hourly estimations of reference evapotranspiration," Agricultural Water Management, Elsevier, vol. 60(3), pages 157-180, May.
    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. Charisios Achillas & Dionysis Bochtis, 2021. "Supply Chain Management for Bioenergy and Bioresources: Bridging the Gap between Theory and Practice," Energies, MDPI, vol. 14(19), pages 1-4, September.

    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. Ngouajio, Mathieu & Wang, Guangyao & Goldy, Ronald, 2007. "Withholding of drip irrigation between transplanting and flowering increases the yield of field-grown tomato under plastic mulch," Agricultural Water Management, Elsevier, vol. 87(3), pages 285-291, February.
    2. Widmoser, Peter, 2009. "A discussion on and alternative to the Penman-Monteith equation," Agricultural Water Management, Elsevier, vol. 96(4), pages 711-721, April.
    3. Xiang, Keyu & Li, Yi & Horton, Robert & Feng, Hao, 2020. "Similarity and difference of potential evapotranspiration and reference crop evapotranspiration – a review," Agricultural Water Management, Elsevier, vol. 232(C).
    4. Pereira, Antonio Roberto & Pruitt, William Oregon, 2004. "Adaptation of the Thornthwaite scheme for estimating daily reference evapotranspiration," Agricultural Water Management, Elsevier, vol. 66(3), pages 251-257, May.
    5. Kuşçu, Hayrettin & Turhan, Ahmet & Demir, Ali Osman, 2014. "The response of processing tomato to deficit irrigation at various phenological stages in a sub-humid environment," Agricultural Water Management, Elsevier, vol. 133(C), pages 92-103.
    6. Shange, Raymon & Martin, Richard & Khan, Victor & Daniels, Kwesi & Hunter, George X. & Johnson, Gwendolyn J. & Musser, Steve & Puckett, William & Hill, Walter A., 2014. "Extending Sustainable Irrigation Opportunities To Socially And Historically Disadvantaged Farmers In The Alabama Black Belt To Support Commercial-Level Production," Professional Agricultural Workers Journal (PAWJ), Professional Agricultural Workers Conference, vol. 1(2), pages 1-10.
    7. Nikolaos Gourgouletis & Marianna Gkavrou & Evangelos Baltas, 2023. "Comparison of Empirical ETo Relationships with ERA5-Land and In Situ Data in Greece," Geographies, MDPI, vol. 3(3), pages 1-23, August.
    8. Alexandris, S. & Kerkides, P. & Liakatas, A., 2006. "Daily reference evapotranspiration estimates by the "Copais" approach," Agricultural Water Management, Elsevier, vol. 82(3), pages 371-386, April.
    9. Chatzithomas, C.D. & Alexandris, S.G., 2015. "Solar radiation and relative humidity based, empirical method, to estimate hourly reference evapotranspiration," Agricultural Water Management, Elsevier, vol. 152(C), pages 188-197.
    10. Valle Júnior, Luiz C.G. & Ventura, Thiago M. & Gomes, Raphael S.R. & de S. Nogueira, José & de A. Lobo, Francisco & Vourlitis, George L. & Rodrigues, Thiago R., 2020. "Comparative assessment of modelled and empirical reference evapotranspiration methods for a brazilian savanna," Agricultural Water Management, Elsevier, vol. 232(C).
    11. Indranil Samui & Milan Skalicky & Sukamal Sarkar & Koushik Brahmachari & Sayan Sau & Krishnendu Ray & Akbar Hossain & Argha Ghosh & Manoj Kumar Nanda & Richard W. Bell & Mohammed Mainuddin & Marian Br, 2020. "Yield Response, Nutritional Quality and Water Productivity of Tomato ( Solanum lycopersicum L.) are Influenced by Drip Irrigation and Straw Mulch in the Coastal Saline Ecosystem of Ganges Delta, India," Sustainability, MDPI, vol. 12(17), pages 1-21, August.
    12. Wang, Feng-Xin & Kang, Yaohu & Liu, Shi-Ping, 2006. "Effects of drip irrigation frequency on soil wetting pattern and potato growth in North China Plain," Agricultural Water Management, Elsevier, vol. 79(3), pages 248-264, February.
    13. Ferreira, Lucas Borges & da Cunha, Fernando França, 2020. "New approach to estimate daily reference evapotranspiration based on hourly temperature and relative humidity using machine learning and deep learning," Agricultural Water Management, Elsevier, vol. 234(C).

    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:13:y:2020:i:1:p:201-:d:304184. 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.