Progress in Agricultural Engineering Sciences
Volume/Issue:
Volume 13: Issue 1
Determination of water-yield basil function under deficit irrigation conditions and use of nano fertilizer
Authors:
Mohammad Naderianfar University of Jiroft, Kerman, Iran

Search for other papers by Mohammad Naderianfar in
Current site
Google Scholar
PubMed Close
,
Majid Azizi University of Mashhad, Mashhad, Iran

Search for other papers by Majid Azizi in
Current site
Google Scholar
PubMed Close
, and
Shapour Koohestani University of Jiroft, Kerman, Iran

Search for other papers by Shapour Koohestani in
Current site
Google Scholar
PubMed Close
Pages:
51–68
Online Publication Date:
Dec 2017
Publication Date:
01 Dec 2017
Article Category:
Research Article
DOI:
https://doi.org/10.1556/446.13.2017.4
Keywords:
nano-fertilizer; deficit irrigation; yield function; optimum irrigation depth
Restricted access

Basil (Ocimum basilicum L.) is one of the important aromatic plants belonging to the family Lamiaceae, which is used as an herb, spice as well as fresh vegetable.The present study was performed to determine the irrigation depth index under different management conditions with evaluating the effect of deficit irrigation, soil texture and nano fertilization on basil. The experiment was performed as a factorial based on randomized complete block design (RCBD) with 18 treatments and three replications at weather station, Ferdowsi University of Mashhad. Deficit irrigation treatments consisted of three levels of irrigation (I1=100% ETc), (I2=75% ETc), (I3=50%ETc) and three levels of nano fertilizers, containing nano fertilizer with full concentration (F1), 70% (F2), and nonusing of nano fertilizer (F3) were implemented in two light soil texture (S1) and medium soil texture (S2). The results showed that the average actual evapotranspiration estimation by REC-P55 device has been equal to 3.38 mm at the beginning of the growing period of basil, which amount has increased to 8.60 mm during basil development in the middle of growth period. The results of crop coefficient analysis showed that the maximum kc of basil (1.42) was detected in July. The results also indicated that the highest water use efficiency (WUE) was obtained in terms of fresh and dry herb yield as 2.06 and 0.37 kg/m3 in S2I3F3 treatment, respectively, while the maximum water use efficiency in terms of seed yield (0.37 kg/m3) was obtained in S1I2F2 treatment. Using the research results, according to different levels of water use of functions of yield Y(w), cost C(w), and benefit B(w) for basil based on mathematical and economic analysis of these functions, irrigation index and optimal irrigation depths were evaluated. It was found that with deficit irrigation under water restriction conditions, with the aim of maximum use of water volume unit, the optimal water consumption depth will be reduced by 20% compared to maximum irrigation mode. Also, with this amount of deficit irrigation, the maximum Rial return per cubic meter of water consumption would be as 1849 Rials.

  • [1]

    Allen RG , Pereira LS, Raes D, Smith M. 1998. Crop evapotranspiration: Guidelines for computing crop water requirements. FAO Irrigation and drainage paper 56 300: 1-15.

    • Search Google Scholar
    • Export Citation
  • [2]

    Abedi-Koupai J , Eslamian SS, Zareian MJ. 2011. Measurement and modeling of water requirement and crop coefficient for cucumber, tomato and pepper using microlysimeter in greenhouse. Journal of Science and Technology of Greenhouse Culture 2: 51–64.

    • Search Google Scholar
    • Export Citation
  • [3]

    Ansari H , Salarian M, Takarli A, Bayram M. 2014. Determining Optimum Irrigation Depth for Wheat and Tomato Crops Using Aquacrop Model (A case study in Mashhad). Iiranian Journal of Irrigation and Drainage 8: 86–95.

    • Search Google Scholar
    • Export Citation
  • [4]

    Bettaieb I , Zakhama N, Wannes WA, Kchouk ME, Marzouk B. 2009. Water deficit effect on Salvia officinalis fatty acids and essential oils composition. Scientia Horticulturae 120: 271–275.

    • Search Google Scholar
    • Export Citation
  • [5]

    Benli, B., Kodal, S. 2003. A non-linear model for farm optimization with adequate and limited water supplies: application to the South-east Anatolian Project (GAP) Region. Agricultural water management, 62(3), 187–203.

    • Search Google Scholar
    • Export Citation
  • [6]

    Chatrnoor M , Rasoulzadeh A, Rahmaniyan M, Esmaeelpur B, AbdulPur A. 2011. Measuring water requirement and basil crop coefficient in Ardabil. The sixth national conference on new ideas in agriculture. Khorasgan. Islamic Azad University of Isfahan (Khorasgan branch).

    • Search Google Scholar
    • Export Citation
  • [7]

    De Souza CR , Maroco JP, Dos Santos TP, Rodrigues M, Lopes CM, Pereira J, Chaves MM. 2005. Impact of Deficit Irrigation on Water Use Efficiency and Carbon Isotope Composition (Delta C-13) . of Field-Grown Grapevines under Mediterranean Climate. Journal of Experimental Botany 56: 2163–2172.

    • Search Google Scholar
    • Export Citation
  • [8]

    Doorenbos J , Kassam AH. 1979. Yield response to water. Room: Food and Agriculture Organization of the United Nations. Irrigation and Drainage 33: 193.

    • Search Google Scholar
    • Export Citation
  • [9]

    Ekren S , Sonmez C, Ozcakal E, Kurttas YSK, Bayram E, Gurgulu H. 2012. The effect of different irrigation water levels on yield and quality characteristics of purple basil (Ocimum basilicum L.). Agricultural water management 109: 155–161.

    • Search Google Scholar
    • Export Citation
  • [10]

    English M , Raja SN. 1996. Perspectives on deficit irrigation. Agricultural Water Management 32: 1–14.

  • [11]

    English M . 1990. Deficit irrigation. I: Analytical framework. Journal of Irrigation and Drainage engineering 116: 399–412.

  • [12]

    English MJ , Musick JT, Murty VVN. 1990. Deficit irrigation. In: Management of farm irrigation systems. American Society of Agricultural Engineers publisher 9: 1020.

    • Search Google Scholar
    • Export Citation
  • [13]

    Fereres E , Soriano M. 2007. Deficit Irrigation for Reducing Agricultural Water Use. Journal of Experimental Botany 58: 147–159.

  • [14]

    García-Vila M , Fereres E. 2012. Combining the simulation crop model AquaCrop with an economic model for the optimization of irrigation management at farm level, In European Journal of Agronomy, 36(1): 21–31.

    • Search Google Scholar
    • Export Citation
  • [15]

    Hassan FAS , Ali EF. 2014. Impact of different water regimes based on class-A pan on growth, yield and oil content of Coriandrum sativum L. plant. Journal of the Saudi Society of Agricultural Sciences 13: 155–161.

    • Search Google Scholar
    • Export Citation
  • [16]

    Khalid, A. 2006. Influence of Water Stress on Growth, Essential Oil, and Chemical Composition of Herbs (Ocimum Sp.). International Agrophysics 20: 289–296.

  • [17]

    Omobolanle Ade-Ademilua E , Oghenekome Obi H, Craker LE. 2013. Growth and Essential Oil Yield of African Basil, Ocimum gratissimum, under Light and Water Stress. Journal of Medicinally Active Plants 1: 5.

    • Search Google Scholar
    • Export Citation
  • [18]

    Tavakoli AL , Moghadam MM. 2012. Optimization of deficit irrigation and nitrogen rates on bread irrigated wheat at northwest of iran. International Journal of Agriculture and Crop Sciences 4: 1681–1687.

    • Search Google Scholar
    • Export Citation
  • [19]

    Unlu M , Kanber R, Koc DL, Tekin S, Kapur B. 2011. Effect of deficit irrigation on the yield components of drip irrigated cotton in a Mediterranean environment Agricultural Water Management 98: 597–605

    • Search Google Scholar
    • Export Citation
  • Collapse
  • Expand
Cover Progress in Agricultural Engineering Sciences
Progress in Agricultural Engineering Sciences
Print ISSN:
1786-335X
Online ISSN:
1787-0321

Senior editors

Editor(s)-in-Chief: Felföldi, József

Chair of the Editorial Board Szendrő, Péter

Editorial Board

  • Beke, János (Szent István University, Faculty of Mechanical Engineerin, Gödöllő – Hungary)
  • Fenyvesi, László (Szent István University, Faculty of Mechanical Engineering, Gödöllő – Hungary)
  • Szendrő, Péter (Szent István University, Faculty of Mechanical Engineering, Gödöllő – Hungary)
  • Felföldi, József (Szent István University, Faculty of Food Science, Budapest – Hungary)

 

Advisory Board

  • De Baerdemaeker, Josse (KU Leuven, Faculty of Bioscience Engineering, Leuven - Belgium)
  • Funk, David B. (United States Department of Agriculture | USDA • Grain Inspection, Packers and Stockyards Administration (GIPSA), Kansas City – USA
  • Geyer, Martin (Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB), Department of Horticultural Engineering, Potsdam - Germany)
  • Janik, József (Szent István University, Faculty of Mechanical Engineering, Gödöllő – Hungary)
  • Kutzbach, Heinz D. (Institut für Agrartechnik, Fg. Grundlagen der Agrartechnik, Universität Hohenheim – Germany)
  • Mizrach, Amos (Institute of Agricultural Engineering. ARO, the Volcani Center, Bet Dagan – Israel)
  • Neményi, Miklós (Széchenyi University, Department of Biosystems and Food Engineering, Győr – Hungary)
  • Schulze-Lammers, Peter (University of Bonn, Institute of Agricultural Engineering (ILT), Bonn – Germany)
  • Sitkei, György (University of Sopron, Institute of Wood Engineering, Sopron – Hungary)
  • Sun, Da-Wen (University College Dublin, School of Biosystems and Food Engineering, Agriculture and Food Science, Dublin – Ireland)
  • Tóth, László (Szent István University, Faculty of Mechanical Engineering, Gödöllő – Hungary)

Prof. Felföldi, József
Institute: MATE - Hungarian University of Agriculture and Life Sciences, Institute of Food Science and Technology, Department of Measurements and Process Control
Address: 1118 Budapest Somlói út 14-16
E-mail: felfoldi.jozsef@uni-mate.hu

Indexing and Abstracting Services:

  • CABI
  • ERIH PLUS
  • SCOPUS

2023  
Scopus  
CiteScore 1.8
CiteScore rank Q2 (General Agricultural and Biological Sciences)
SNIP 0.497
Scimago  
SJR index 0.258
SJR Q rank Q3

Progress in Agricultural Engineering Sciences
Publication Model Hybrid
Submission Fee none
Printed Color Illustrations 40 EUR (or 10 000 HUF) + VAT / piece
Article Processing Charge 900 EUR/article (only for OA publications)
Regional discounts on country of the funding agency World Bank Lower-middle-income economies: 50%
World Bank Low-income economies: 100%
Further Discounts Editorial Board / Advisory Board members: 50%
Corresponding authors, affiliated to an EISZ member institution subscribing to the journal package of Akadémiai Kiadó: 100%
Subscription fee 2025 Online subsscription: 173 EUR / 190 USD
Print + online subscription: 200 EUR / 220 USD
Subscription Information Online subscribers are entitled access to all back issues published by Akadémiai Kiadó for each title for the duration of the subscription, as well as Online First content for the subscribed content.
Purchase per Title Individual articles can be purchased at the prices indicated.

Progress in Agricultural Engineering Sciences
Language English
Size B5
Year of
Foundation		 2004
Volumes
per Year		 1
Issues
per Year		 1
Founder Magyar Tudományos Akadémia  
Founder's
Address		 H-1051 Budapest, Hungary, Széchenyi István tér 9.
Publisher Akadémiai Kiadó
Publisher's
Address		 H-1117 Budapest, Hungary 1516 Budapest, PO Box 245.
Responsible
Publisher		 Chief Executive Officer, Akadémiai Kiadó
ISSN 1786-335X (Print)
ISSN 1787-0321 (Online)

Monthly Content Usage

Abstract Views Full Text Views PDF Downloads
Jun 2024 71 0 0
Jul 2024 41 0 0
Aug 2024 61 0 0
Sep 2024 36 0 0
Oct 2024 256 0 0
Nov 2024 115 0 0
Dec 2024 20 0 0