IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0204983.html
   My bibliography  Save this article

Models of turfgrass seed germination related to water content

Author

Listed:
  • Ying Jiang
  • Derong Su

Abstract

Turfgrasses have been widely utilized by humans to enhance the environment for more than several centuries. Seed germination is of great importance in the development of the turfgrass industry. In this study, the seed germination models of the responses of three types of turfgrasses to water were studied. The results indicated that irrigation water was mainly related to the variation of seed volume rather than a fixed value in this experiment. The maximum k value of tall fescue, Kentucky bluegrass and perennial ryegrass is 1.1548, 1.6946 and 4.0940, respectively. The optimal value of k is 1.0617 for tall fescue, 1.4610 for Kentucky bluegrass, and 1.6614 for perennial ryegrass. Perennial ryegrass seeds are more sensitive to water than those of tall fescue and Kentucky bluegrass, and this turfgrass is the fastest to reach the maximum value of the germination rate. Based on the results from the present experiment, the seed germination function can describe the response of turfgrass seed germination to external water content variation and their sensitivities. The function obtained could be used to perform quantitative studies on the dynamic changes of seed germination under different water conditions that will contribute to improved predictions of the optimal fitting curves of the germination over a range of water.

Suggested Citation

  • Ying Jiang & Derong Su, 2018. "Models of turfgrass seed germination related to water content," PLOS ONE, Public Library of Science, vol. 13(10), pages 1-13, October.
  • Handle: RePEc:plo:pone00:0204983
    DOI: 10.1371/journal.pone.0204983
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0204983
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0204983&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0204983?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
    ---><---

    References listed on IDEAS

    as
    1. Mesgaran, Mohsen B. & Onofri, Andrea & Mashhadi, Hamid R. & Cousens, Roger D., 2017. "Water availability shifts the optimal temperatures for seed germination: A modelling approach," Ecological Modelling, Elsevier, vol. 351(C), pages 87-95.
    2. Oweis, T.Y. & Farahani, H.J. & Hachum, A.Y., 2011. "Evapotranspiration and water use of full and deficit irrigated cotton in the Mediterranean environment in northern Syria," Agricultural Water Management, Elsevier, vol. 98(8), pages 1239-1248, May.
    Full references (including those not matched with items on IDEAS)

    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. Bai, Zhentao & Bai, Wenqiang & Xie, Cong & Yu, Jiang & Dai, Yulong & Pei, Shengzhao & Zhang, Fucang & Li, Yunxia & Fan, Junliang & Yin, Feihu, 2023. "Irrigation depth and nitrogen rate effects on seed cotton yield, fiber quality and water-nitrogen utilization efficiency in southern Xinjiang, China," Agricultural Water Management, Elsevier, vol. 290(C).
    2. Eric Njuki & Boris E. Bravo-Ureta, 2019. "Examining irrigation productivity in U.S. agriculture using a single-factor approach," Journal of Productivity Analysis, Springer, vol. 51(2), pages 125-136, June.
    3. Fan, Yubing & Wang, Chenggang & Nan, Zhibiao, 2014. "Comparative evaluation of crop water use efficiency, economic analysis and net household profit simulation in arid Northwest China," Agricultural Water Management, Elsevier, vol. 146(C), pages 335-345.
    4. Wang, Jingwei & Li, Yuan & Niu, Wenquan, 2021. "Effect of alternating drip irrigation on soil gas emissions, microbial community composition, and root–soil interactions," Agricultural Water Management, Elsevier, vol. 256(C).
    5. Zou, Haiyang & Fan, Junliang & Zhang, Fucang & Xiang, Youzhen & Wu, Lifeng & Yan, Shicheng, 2020. "Optimization of drip irrigation and fertilization regimes for high grain yield, crop water productivity and economic benefits of spring maize in Northwest China," Agricultural Water Management, Elsevier, vol. 230(C).
    6. Darouich, Hanaa & Gonçalves, José M. & Muga, André & Pereira, Luis S., 2012. "Water saving vs. farm economics in cotton surface irrigation: An application of multicriteria analysis," Agricultural Water Management, Elsevier, vol. 115(C), pages 223-231.
    7. Wang, Haidong & Wu, Lifeng & Wang, Xiukang & Zhang, Shaohui & Cheng, Minghui & Feng, Hao & Fan, Junliang & Zhang, Fucang & Xiang, Youzhen, 2021. "Optimization of water and fertilizer management improves yield, water, nitrogen, phosphorus and potassium uptake and use efficiency of cotton under drip fertigation," Agricultural Water Management, Elsevier, vol. 245(C).
    8. Wang, Hongbo & Li, Guohui & Huang, Weixiong & Li, Zhaoyang & Wang, Xingpeng & Gao, Yang, 2024. "Compensation of cotton yield by nitrogen fertilizer in non-mulched fields with deficit drip irrigation," Agricultural Water Management, Elsevier, vol. 298(C).
    9. Iulia Dolganova & Natalia Mikosch & Markus Berger & Montserrat Núñez & Andrea Müller-Frank & Matthias Finkbeiner, 2019. "The Water Footprint of European Agricultural Imports: Hotspots in the Context of Water Scarcity," Resources, MDPI, vol. 8(3), pages 1-11, August.
    10. Wang, Haidong & Cheng, Minghui & Zhang, Shaohui & Fan, Junliang & Feng, Hao & Zhang, Fucang & Wang, Xiukang & Sun, Lijun & Xiang, Youzhen, 2021. "Optimization of irrigation amount and fertilization rate of drip-fertigated potato based on Analytic Hierarchy Process and Fuzzy Comprehensive Evaluation methods," Agricultural Water Management, Elsevier, vol. 256(C).
    11. Fazlullah Akhtar & Bernhard Tischbein & Usman Awan, 2013. "Optimizing Deficit Irrigation Scheduling Under Shallow Groundwater Conditions in Lower Reaches of Amu Darya River Basin," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(8), pages 3165-3178, June.
    12. Shareef, Muhammad & Gui, Dongwei & Zeng, Fanjiang & Waqas, Muhammad & Zhang, Bo & Iqbal, Hassan, 2018. "Water productivity, growth, and physiological assessment of deficit irrigated cotton on hyperarid desert-oases in northwest China," Agricultural Water Management, Elsevier, vol. 206(C), pages 1-10.
    13. Fan, Yubing & Wang, Chenggang & Nan, Zhibiao, 2018. "Determining water use efficiency of wheat and cotton: A meta-regression analysis," Agricultural Water Management, Elsevier, vol. 199(C), pages 48-60.
    14. Brar, Harjeet Singh & Singh, Pritpal, 2022. "Pre-and post-sowing irrigation scheduling impacts on crop phenology and water productivity of cotton (Gossypium hirsutum L.) in sub-tropical north-western India," Agricultural Water Management, Elsevier, vol. 274(C).
    15. Fan, Yubing & Wang, Chenggang & Nan, Zhibiao, 2016. "Determining water use efficiency for wheat and cotton: A meta-regression analysis," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 236059, Agricultural and Applied Economics Association.
    16. Khozaei, Maryam & Kamgar Haghighi, Ali Akbar & Zand Parsa, Shahrokh & Sepaskhah, Ali Reza & Razzaghi, Fatemeh & Yousefabadi, Vali-allah & Emam, Yahya, 2020. "Evaluation of direct seeding and transplanting in sugar beet for water productivity, yield and quality under different irrigation regimes and planting densities," Agricultural Water Management, Elsevier, vol. 238(C).
    17. Kaili Shi & Lili Zhangzhong & Furong Han & Shirui Zhang & Rui Guo & Xueying Yao, 2023. "Reducing Emitter Clogging in Drip Fertigation Systems by Magnetization Technology," Sustainability, MDPI, vol. 15(4), pages 1-11, February.
    18. Campi, Pasquale & Mastrorilli, Marcello & Stellacci, Anna Maria & Modugno, Francesca & Palumbo, Angelo Domenico, 2019. "Increasing the effective use of water in green asparagus through deficit irrigation strategies," Agricultural Water Management, Elsevier, vol. 217(C), pages 119-130.
    19. Abdelghany, Ahmed Elsayed & Dou, Zhiyao & Alashram, Mohamed G. & Eltohamy, Kamel Mohamed & Elrys, Ahmed S. & Liu, Xiaoqiang & Wu, You & Cheng, Minghui & Fan, Junliang & Zhang, Fucang, 2023. "The joint application of biochar and nitrogen enhances fruit yield, quality and water-nitrogen productivity of water-stressed greenhouse tomato under drip fertigation," Agricultural Water Management, Elsevier, vol. 290(C).
    20. Wu, You & Yan, Shicheng & Fan, Junliang & Zhang, Fucang & Zhao, Wenju & Zheng, Jing & Guo, Jinjin & Xiang, Youzhen & Wu, Lifeng, 2022. "Combined effects of irrigation level and fertilization practice on yield, economic benefit and water-nitrogen use efficiency of drip-irrigated greenhouse tomato," Agricultural Water Management, Elsevier, vol. 262(C).

    More about this item

    Statistics

    Access and download statistics

    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:plo:pone00:0204983. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.