IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v221y2019icp528-537.html
   My bibliography  Save this article

Water relations and productivity of two lines of pearl millet grown on lysimeter with two different soil types

Author

Listed:
  • Bello, Z.A.
  • Walker, S.
  • Tesfuhuney, W.

Abstract

Crop water productivity is one of the important aspects of water use of crop, most especially where water is a limiting factor. This study was carried out to assess and compare water relations and productivity of two lines of pearl millet grown on lysimeters with two soil types. The study was carried out at the lysimeter unit of the Department of Soil, Crop and Climate Sciences Experimental Farm, Kenilworth, University of the Free State, Bloemfontein. One row of the unit contains a Clovelly soil and the other row, Bainsvlei soil. The two lines of pearl millet used for the study were GCI 17, improved variety and Monyaloti, a local variety. Irrigation treatments were applied such that water was withheld at the beginning of different growth stages of the crop to impose water stress. These treatments were well-watered (WW), vegetative stage stress (VS), reproductive stage stress (RS), and grain-filling stage stress (GS). The treatments were replicated two times per line of pearl millet per soil type. The results show that the lowest leaf water potential was observed in the GS stress plants for both lines of pearl millet on Bainsvlei soil form. The highest stomatal conductance observed on Clovelly soil was around 400 mmol m−2 s−1 while it was around 300 mmol m−2 s-1 on Bainsvlei soil for the two lines of pearl millet. The highest and lowest grain yields for GCI 17 were from Clovelly soil. The highest grain yield for Monyaloti was 10.74 t ha-1from the WW found on Clovelly soil type while the lowest was 3.93 t ha-1 from GS found on Bainsvlei soil type. The mean water productivity for biomass (WPbm) of GCI 17 was 0.036 t ha−1 mm−1for both soil types while Monyaloti had WPbm of 0.037 and 0.035 t ha−1 mm−1 on Bainsvlei and Clovelly respectively. Clovelly soil type proved to exhibit high water productivity for grain yield production of pearl millet.

Suggested Citation

  • Bello, Z.A. & Walker, S. & Tesfuhuney, W., 2019. "Water relations and productivity of two lines of pearl millet grown on lysimeter with two different soil types," Agricultural Water Management, Elsevier, vol. 221(C), pages 528-537.
  • Handle: RePEc:eee:agiwat:v:221:y:2019:i:c:p:528-537
    DOI: 10.1016/j.agwat.2019.05.024
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377418310849
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.agwat.2019.05.024?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. de Rouw, Anneke, 2004. "Improving yields and reducing risks in pearl millet farming in the African Sahel," Agricultural Systems, Elsevier, vol. 81(1), pages 73-93, July.
    2. Zwart, Sander J. & Bastiaanssen, Wim G. M., 2004. "Review of measured crop water productivity values for irrigated wheat, rice, cotton and maize," Agricultural Water Management, Elsevier, vol. 69(2), pages 115-133, September.
    3. Katerji, N. & van Hoorn, J. W. & Hamdy, A. & Mastrorilli, M. & Karzel, E. Mou, 1997. "Osmotic adjustment of sugar beets in response to soil salinity and its influence on stomatal conductance, growth and yield," Agricultural Water Management, Elsevier, vol. 34(1), pages 57-69, July.
    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. de Almeida, Ailson Maciel & Coelho, Rubens Duarte & da Silva Barros, Timóteo Herculino & de Oliveira Costa, Jéfferson & Quiloango-Chimarro, Carlos Alberto & Moreno-Pizani, Maria Alejandra & Farias-Ram, 2022. "Water productivity and canopy thermal response of pearl millet subjected to different irrigation levels," Agricultural Water Management, Elsevier, vol. 272(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. Ren, Dongyang & Xu, Xu & Engel, Bernard & Huang, Quanzhong & Xiong, Yunwu & Huo, Zailin & Huang, Guanhua, 2021. "A comprehensive analysis of water productivity in natural vegetation and various crops coexistent agro-ecosystems," Agricultural Water Management, Elsevier, vol. 243(C).
    2. Immerzeel, W.W. & Gaur, A. & Zwart, S.J., 2008. "Integrating remote sensing and a process-based hydrological model to evaluate water use and productivity in a south Indian catchment," Agricultural Water Management, Elsevier, vol. 95(1), pages 11-24, January.
    3. Bonfante, A. & Monaco, E. & Manna, P. & De Mascellis, R. & Basile, A. & Buonanno, M. & Cantilena, G. & Esposito, A. & Tedeschi, A. & De Michele, C. & Belfiore, O. & Catapano, I. & Ludeno, G. & Salinas, 2019. "LCIS DSS—An irrigation supporting system for water use efficiency improvement in precision agriculture: A maize case study," Agricultural Systems, Elsevier, vol. 176(C).
    4. Gonçalves, Ivo Zution & Mekonnen, Mesfin M. & Neale, Christopher M.U. & Campos, Isidro & Neale, Michael R., 2020. "Temporal and spatial variations of irrigation water use for commercial corn fields in Central Nebraska," Agricultural Water Management, Elsevier, vol. 228(C).
    5. Mohammad Alauddin & Upali A. Amarasinghe & Bharat R. Sharma, 2014. "Four decades of rice water productivity in Bangladesh: A spatio-temporal analysis of district level panel data," Economic Analysis and Policy, Elsevier, vol. 44(1), pages 51-64.
    6. Gao, Yang & Yang, Linlin & Shen, Xiaojun & Li, Xinqiang & Sun, Jingsheng & Duan, Aiwang & Wu, Laosheng, 2014. "Winter wheat with subsurface drip irrigation (SDI): Crop coefficients, water-use estimates, and effects of SDI on grain yield and water use efficiency," Agricultural Water Management, Elsevier, vol. 146(C), pages 1-10.
    7. Islam, AFM Tariqul & Islam, AKM Saiful & Islam, GM Tarekul & Bala, Sujit Kumar & Salehin, Mashfiqus & Choudhury, Apurba Kanti & Dey, Nepal C. & Hossain, Akbar, 2022. "Adaptation strategies to increase water productivity of wheat under changing climate," Agricultural Water Management, Elsevier, vol. 264(C).
    8. M. Kouressy & B. Sultan & M. Vaksmann & Jean-François Bélières & L. Claessens & M. Dingkuhn & N. Témé, 2019. "Climate Change and Cereal Production Evolution Trend in the Sahel: Case Study in Mali from 1951 to 2010," Post-Print hal-02963665, HAL.
    9. Iqbal, M. Anjum & Bodner, G. & Heng, L.K. & Eitzinger, J. & Hassan, A., 2010. "Assessing yield optimization and water reduction potential for summer-sown and spring-sown maize in Pakistan," Agricultural Water Management, Elsevier, vol. 97(5), pages 731-737, May.
    10. Li, Xiaolin & Tong, Ling & Niu, Jun & Kang, Shaozhong & Du, Taisheng & Li, Sien & Ding, Risheng, 2017. "Spatio-temporal distribution of irrigation water productivity and its driving factors for cereal crops in Hexi Corridor, Northwest China," Agricultural Water Management, Elsevier, vol. 179(C), pages 55-63.
    11. Alexis Berg & Philippe Quirion & Benjamin Sultan, 2009. "Weather-index drought insurance in Burkina-Faso: assessment of its potential interest to farmers," Post-Print hal-00520893, HAL.
    12. Saqalli, M. & Gérard, B. & Bielders, C.L. & Defourny, P., 2011. "Targeting rural development interventions: Empirical agent-based modeling in Nigerien villages," Agricultural Systems, Elsevier, vol. 104(4), pages 354-364, April.
    13. Oker, Tobias E. & Kisekka, Isaya & Sheshukov, Aleksey Y. & Aguilar, Jonathan & Rogers, Danny H., 2018. "Evaluation of maize production under mobile drip irrigation," Agricultural Water Management, Elsevier, vol. 210(C), pages 11-21.
    14. Zhang, Xiying & Chen, Suying & Sun, Hongyong & Shao, Liwei & Wang, Yanzhe, 2011. "Changes in evapotranspiration over irrigated winter wheat and maize in North China Plain over three decades," Agricultural Water Management, Elsevier, vol. 98(6), pages 1097-1104, April.
    15. World Bank, 2006. "Reengaging in Agricultural Water Management: Challenges and Options," World Bank Publications - Books, The World Bank Group, number 6957.
    16. Katerji, Nader & Campi, Pasquale & Mastrorilli, Marcello, 2013. "Productivity, evapotranspiration, and water use efficiency of corn and tomato crops simulated by AquaCrop under contrasting water stress conditions in the Mediterranean region," Agricultural Water Management, Elsevier, vol. 130(C), pages 14-26.
    17. Geerts, S. & Raes, D. & Garcia, M., 2010. "Using AquaCrop to derive deficit irrigation schedules," Agricultural Water Management, Elsevier, vol. 98(1), pages 213-216, December.
    18. Dennis Wichelns, 2015. "Water productivity and water footprints are not helpful in determining optimal water allocations or efficient management strategies," Water International, Taylor & Francis Journals, vol. 40(7), pages 1059-1070, November.
    19. Ahmad, Mirza Junaid & Iqbal, Muhammad Anjum & Choi, Kyung Sook, 2020. "Climate-driven constraints in sustaining future wheat yield and water productivity," Agricultural Water Management, Elsevier, vol. 231(C).
    20. Tarkalson, David D. & King, Bradley A. & Bjorneberg, Dave L., 2022. "Maize grain yield and crop water productivity functions in the arid Northwest U.S," Agricultural Water Management, Elsevier, vol. 264(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:eee:agiwat:v:221:y:2019:i:c:p:528-537. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/agwat .

    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.