IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v179y2017icp177-183.html
   My bibliography  Save this article

Response of yield and water use efficiency to different irrigation levels at different growth stages of Kenaf and crop water production function

Author

Listed:
  • Wang, Daobo
  • Li, Fusheng
  • Nong, Mengling

Abstract

To provide a rational irrigation management for high yield cultivation of Kenaf, the effects of three irrigation levels at the three growth stages on raw fiber yield, shoot dry mass and water use efficiency of two Kenaf varieties were investigated, and crop water production function was simulated by the Jensen’s model. Two Kenaf varieties (V) included hybrid variety (Hongyou 2, V1) and conventional variety (Fuhong 992, V2). Three irrigation levels at different growth stages included (1) high water level (A1), middle water level (A2) and low water level (A3) at the seedling stage, (2) high water level (B1), middle water level (B2) and low water level (B3) at the vigorous growth stage, and (3) high water level (C1), middle water level (C2) and low water level (C3) at the flowering and fruiting stage. Orthogonal test with replicates, unequal level and the existence of interaction was designed. Orthogonal test indicates that significant effects of variety and irrigation level at the vigorous growth and flowering and fruiting stages on raw fiber yield were found, and the raw fiber yield of Hongyou 2 was significantly higher than that of Fuhong 992. The best combination of two varieties and three irrigation levels at the three growth stages was V1A2B1C1 for raw fiber yield and shoot dry mass and V1A3B1C3 for water use efficiency on the basis of dry raw fiber yield (WUErf). Simulation results of the Jensen’s model show that the sensitivity coefficient (λ2) was the highest at the vigorous growth stage, and significantly higher than those of other growth stages, showing that Kenaf was the most sensitive to water deficit at the vigorous growth stage, and the vigorous growth stage was the critical stage of water requirement for Kenaf. For Hongyou 2 and Fuhong 992, raw fiber yield was improved with the increase of irrigation amount at the vigorous growth stage and flowering and fruiting stage, and the simulation of the Jensen’s model also proved that Kenaf was very sensitive to water deficit at the vigorous growth stage, so Kenaf should be supplied by adequate irrigation at the vigorous growth stage. The raw fiber yield of two varieties had the highest at A2B1C1, but Honyou 2 had more raw fiber yield. As the response of Fuhong 992 to irrigation level at different growth stages was not more significant than that of Hongyou 2, Hongyou 2 should be planted under better water and fertilizer condition.

Suggested Citation

  • Wang, Daobo & Li, Fusheng & Nong, Mengling, 2017. "Response of yield and water use efficiency to different irrigation levels at different growth stages of Kenaf and crop water production function," Agricultural Water Management, Elsevier, vol. 179(C), pages 177-183.
    • Handle: RePEc:eee:agiwat:v:179:y:2017:i:c:p:177-183
    DOI: 10.1016/j.agwat.2016.06.026
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377416302311
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.agwat.2016.06.026?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. Igbadun, Henry E. & Tarimo, Andrew K.P.R. & Salim, Baanda A. & Mahoo, Henry F., 2007. "Evaluation of selected crop water production functions for an irrigated maize crop," Agricultural Water Management, Elsevier, vol. 94(1-3), pages 1-10, December.
    2. Liang, Hailing & Li, Fusheng & Nong, Mengling, 2013. "Effects of alternate partial root-zone irrigation on yield and water use of sticky maize with fertigation," Agricultural Water Management, Elsevier, vol. 116(C), pages 242-247.
    3. Panda, R. K. & Behera, S. K. & Kashyap, P. S., 2004. "Effective management of irrigation water for maize under stressed conditions," Agricultural Water Management, Elsevier, vol. 66(3), pages 181-203, 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. Octavio Villalobos-Cano & Eduardo Santellano-Estrada & Blair L. Stringam & Kulbhushan Grover & Edgar Esparza-Vela, 2024. "Estimating Water Use Efficiency for Major Crops in Chihuahua, Mexico: Crop Yield Function Models vs. Evapotranspiration," Sustainability, MDPI, vol. 16(5), pages 1-11, February.
    2. Zhang, Fuqiang & He, Chao & Yaqiong, Fan & Hao, Xinmei & Kang, Shaozhong, 2022. "Canal delivery and irrigation scheduling optimization based on crop water demand," Agricultural Water Management, Elsevier, vol. 260(C).
    3. Katuwal, Krishna B. & Cho, Youngkoo & Singh, Sukhbir & Angadi, Sangamesh V. & Begna, Sultan & Stamm, Michael, 2020. "Soil water extraction pattern and water use efficiency of spring canola under growth-stage-based irrigation management," Agricultural Water Management, Elsevier, vol. 239(C).
    4. Sun, Guangzhao & Hu, Tiantian & Liu, Xiaogang & Peng, Youliang & Leng, Xianxian & Li, Yilin & Yang, Qiliang, 2022. "Optimizing irrigation and fertilization at various growth stages to improve mango yield, fruit quality and water-fertilizer use efficiency in xerothermic regions," Agricultural Water Management, Elsevier, vol. 260(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. Ma, Shou-Chen & Zhang, Wei-Qiang & Duan, Ai-Wang & Wang, Tong-Chao, 2019. "Effects of controlling soil moisture regime based on root-sourced signal characteristics on yield formation and water use efficiency of winter wheat," Agricultural Water Management, Elsevier, vol. 221(C), pages 486-492.
    2. Wang, Yufeng & Kang, Shaozhong & Li, Fusheng & Zhang, Xiaotao, 2021. "Modified water-nitrogen productivity function based on response of water sensitive index to nitrogen for hybrid maize under drip fertigation," Agricultural Water Management, Elsevier, vol. 245(C).
    3. El-Hendawy, Salah E. & Schmidhalter, Urs, 2010. "Optimal coupling combinations between irrigation frequency and rate for drip-irrigated maize grown on sandy soil," Agricultural Water Management, Elsevier, vol. 97(3), pages 439-448, March.
    4. Jingwei Wang & Yuan Li & Wenquan Niu, 2020. "Deficit Alternate Drip Irrigation Increased Root-Soil-Plant Interaction, Tomato Yield, and Quality," IJERPH, MDPI, vol. 17(3), pages 1-18, January.
    5. Igbadun, Henry E. & Tarimo, Andrew K.P.R. & Salim, Baanda A. & Mahoo, Henry F., 2007. "Evaluation of selected crop water production functions for an irrigated maize crop," Agricultural Water Management, Elsevier, vol. 94(1-3), pages 1-10, December.
    6. Motazedian, Azam & Kazemeini, Seyed Abdolreza & Bahrani, Mohammad Jafar, 2019. "Sweet corn growth and GrainYield as influenced by irrigation and wheat residue management," Agricultural Water Management, Elsevier, vol. 224(C), pages 1-1.
    7. Cao, Jingjing & Tan, Junwei & Cui, Yuanlai & Luo, Yufeng, 2019. "Irrigation scheduling of paddy rice using short-term weather forecast data," Agricultural Water Management, Elsevier, vol. 213(C), pages 714-723.
    8. Yuan, Chengfu & Feng, Shaoyuan & Huo, Zailin & Ji, Quanyi, 2019. "Effects of deficit irrigation with saline water on soil water-salt distribution and water use efficiency of maize for seed production in arid Northwest China," Agricultural Water Management, Elsevier, vol. 212(C), pages 424-432.
    9. Li, Haoru & Li, Xiaoli & Mei, Xurong & Nangia, Vinay & Guo, Rui & Hao, Weiping & Wang, Jiandong, 2023. "An alternative water-fertilizer-saving management practice for wheat-maize cropping system in the North China Plain: Based on a 4-year field study," Agricultural Water Management, Elsevier, vol. 276(C).
    10. Attia, Ahmed & El-Hendawy, Salah & Al-Suhaibani, Nasser & Alotaibi, Majed & Tahir, Muhammad Usman & Kamal, Khaled Y., 2021. "Evaluating deficit irrigation scheduling strategies to improve yield and water productivity of maize in arid environment using simulation," Agricultural Water Management, Elsevier, vol. 249(C).
    11. Daneshnia, F. & Amini, A. & Chaichi, M.R., 2016. "Berseem clover quality and basil essential oil yield in intercropping system under limited irrigation treatments with surfactant," Agricultural Water Management, Elsevier, vol. 164(P2), pages 331-339.
    12. Chen, Jinliang & Kang, Shaozhong & Du, Taisheng & Qiu, Rangjian & Guo, Ping & Chen, Renqiang, 2013. "Quantitative response of greenhouse tomato yield and quality to water deficit at different growth stages," Agricultural Water Management, Elsevier, vol. 129(C), pages 152-162.
    13. Popova, Zornitsa & Pereira, Luis S., 2011. "Modelling for maize irrigation scheduling using long term experimental data from Plovdiv region, Bulgaria," Agricultural Water Management, Elsevier, vol. 98(4), pages 675-683, February.
    14. Gheysari, Mahdi & Pirnajmedin, Fatemeh & Movahedrad, Hamid & Majidi, Mohammad Mahdi & Zareian, Mohammad Javad, 2021. "Crop yield and irrigation water productivity of silage maize under two water stress strategies in semi-arid environment: Two different pot and field experiments," Agricultural Water Management, Elsevier, vol. 255(C).
    15. Rostamza, Mina & Chaichi, Mohammad-Reza & Jahansouz, Mohammad-Reza & Alimadadi, Ahmad, 2011. "Forage quality, water use and nitrogen utilization efficiencies of pearl millet (Pennisetum americanum L.) grown under different soil moisture and nitrogen levels," Agricultural Water Management, Elsevier, vol. 98(10), pages 1607-1614, August.
    16. Foster, T. & Brozović, N., 2018. "Simulating Crop-Water Production Functions Using Crop Growth Models to Support Water Policy Assessments," Ecological Economics, Elsevier, vol. 152(C), pages 9-21.
    17. Roman Rolbiecki & Ali Yücel & Joanna Kocięcka & Atılgan Atilgan & Monika Marković & Daniel Liberacki, 2022. "Analysis of SPI as a Drought Indicator during the Maize Growing Period in the Çukurova Region (Turkey)," Sustainability, MDPI, vol. 14(6), pages 1-29, March.
    18. Muhammad Usman & Talha Mahmood & Christopher Conrad & Habib Ullah Bodla, 2020. "Remote Sensing and Modelling Based Framework for Valuing Irrigation System Efficiency and Steering Indicators of Consumptive Water Use in an Irrigated Region," Sustainability, MDPI, vol. 12(22), pages 1-33, November.
    19. Kaur, Rajbir & Arora, VK, 2018. "Assessing spring maize responses to irrigation and nitrogen regimes in north-west India using CERES-Maize model," Agricultural Water Management, Elsevier, vol. 209(C), pages 171-177.
    20. Bai, Yu & Gao, Jinhua, 2021. "Optimization of the nitrogen fertilizer schedule of maize under drip irrigation in Jilin, China, based on DSSAT and GA," Agricultural Water Management, Elsevier, vol. 244(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:179:y:2017:i:c:p:177-183. 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.