IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v245y2021ics0378377420320989.html
   My bibliography  Save this article

Poly-γ-glutamic acid improves water-stable aggregates, nitrogen and phosphorus uptake efficiency, water-fertilizer productivity, and economic benefit in barren desertified soils of Northwest China

Author

Listed:
  • Liang, Jiaping
  • Shi, Wenjuan

Abstract

Poly-γ-glutamic acid (γ-PGA) is proposed as an environmentally friendly super water-absorbable agent and fertilizer synergist. However, the influences of γ-PGA on soil aggregates, crop growth, nutrient uptake, water-fertilizer productivity, and economic benefit are still not well-understood. The objective of this study was therefore to explore the effects of γ-PGA on soil water storage (SWS), water-stable aggregates, aboveground dry matter, nitrogen (N) and phosphorus (P) uptake amount and efficiency, cotton yield, irrigation water productivity (IWP), partial factor productivity (PFP) for fertilizer (N, P, and K), and cost-benefit analysis in desertified soil of Northwest China. A field experiment, which consisted of five γ-PGA application rates (0, 20, 40, 80, and 160 kg ha−1, labeled as CK, P20, P40, P80, and P160), was conducted in the cotton growing seasons of 2015 and 2016. The results showed that γ-PGA application significantly increased the SWS of root zone and decreased water consumption. γ-PGA application significantly enhanced the proportion of soil macro-aggregates and the mean weight diameter (MWD) of water-stable aggregates. Compared with the CK, γ-PGA application significantly improved aboveground dry matter, cotton yield, N and P uptake amount and efficiency, IWP, and PFP for fertilizer (N, P, and K). Moreover, γ-PGA application significantly increased net profit of the farmer compared with the CK. However, water-fertilizer productivity and net profit could not maintain a trend of continuous increase with increasing γ-PGA application rates. According to analyzing the production and net profit functions of γ-PGA application, we found that the highest water-fertilizer productivity and net profit were achieved when γ-PGA application rate was 65 kg ha−1. Therefore, this study suggested that 65 kg ha−1 might be recommended as an appropriate γ-PGA application strategy to deal with water scarcity and improve economic benefit and water-fertilizer productivity in barren desertified soils of Northwest China.

Suggested Citation

  • Liang, Jiaping & Shi, Wenjuan, 2021. "Poly-γ-glutamic acid improves water-stable aggregates, nitrogen and phosphorus uptake efficiency, water-fertilizer productivity, and economic benefit in barren desertified soils of Northwest China," Agricultural Water Management, Elsevier, vol. 245(C).
  • Handle: RePEc:eee:agiwat:v:245:y:2021:i:c:s0378377420320989
    DOI: 10.1016/j.agwat.2020.106551
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377420320989
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.agwat.2020.106551?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. Ali, M.H. & Talukder, M.S.U., 2008. "Increasing water productivity in crop production--A synthesis," Agricultural Water Management, Elsevier, vol. 95(11), pages 1201-1213, November.
    2. Chen, Weiping & Hou, Zhenan & Wu, Laosheng & Liang, Yongchao & Wei, Changzhou, 2010. "Evaluating salinity distribution in soil irrigated with saline water in arid regions of northwest China," Agricultural Water Management, Elsevier, vol. 97(12), pages 2001-2008, November.
    3. Wang, Ruoshui & Kang, Yaohu & Wan, Shuqin & Hu, Wei & Liu, Shiping & Liu, Shuhui, 2011. "Salt distribution and the growth of cotton under different drip irrigation regimes in a saline area," Agricultural Water Management, Elsevier, vol. 100(1), pages 58-69.
    4. Liang, Jiaping & Shi, Wenjuan & He, Zijian & Pang, Linna & Zhang, Yanchao, 2019. "Effects of poly-γ-glutamic acid on water use efficiency, cotton yield, and fiber quality in the sandy soil of southern Xinjiang, China," Agricultural Water Management, Elsevier, vol. 218(C), pages 48-59.
    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. Letey, J. & Hoffman, G.J. & Hopmans, J.W. & Grattan, S.R. & Suarez, D. & Corwin, D.L. & Oster, J.D. & Wu, L. & Amrhein, C., 2011. "Evaluation of soil salinity leaching requirement guidelines," Agricultural Water Management, Elsevier, vol. 98(4), pages 502-506, February.
    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. Meng, Wenjie & Xing, Jinliang & Niu, Mu & Zuo, Qiang & Wu, Xun & Shi, Jianchu & Sheng, Jiandong & Jiang, Pingan & Chen, Quanjia & Ben-Gal, Alon, 2023. "Optimizing fertigation schemes based on root distribution," Agricultural Water Management, Elsevier, vol. 275(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. Liu, Yi & Zeng, Wenzhi & Ao, Chang & Lei, Guoqing & Wu, Jingwei & Huang, Jiesheng & Gaiser, Thomas & Srivastava, Amit Kumar, 2022. "Optimization of winter irrigation management for salinized farmland using a coupled model of soil water flow and crop growth," Agricultural Water Management, Elsevier, vol. 270(C).
    2. Zhou, Beibei & Liang, Chaofan & Chen, Xiaopeng & Ye, Sitan & Peng, Yao & Yang, Lu & Duan, Manli & Wang, Xingpeng, 2022. "Magnetically-treated brackish water affects soil water-salt distribution and the growth of cotton with film mulch drip irrigation in Xinjiang, China," Agricultural Water Management, Elsevier, vol. 263(C).
    3. Wang, Ruoshui & Kang, Yaohu & Wan, Shuqin & Hu, Wei & Liu, Shiping & Jiang, Shufang & Liu, Shuhui, 2012. "Influence of different amounts of irrigation water on salt leaching and cotton growth under drip irrigation in an arid and saline area," Agricultural Water Management, Elsevier, vol. 110(C), pages 109-117.
    4. Zhang, Chen & Li, Xiaobin & Kang, Yaohu & Wang, Xunming, 2019. "Salt leaching and response of Dianthus chinensis L. to saline water drip-irrigation in two coastal saline soils," Agricultural Water Management, Elsevier, vol. 218(C), pages 8-16.
    5. Zhen, Jingbo & Lazarovitch, Naftali & Tripler, Effi, 2020. "Effects of fruit load intensity and irrigation level on fruit quality, water productivity and net profits of date palms," Agricultural Water Management, Elsevier, vol. 241(C).
    6. Elgallal, M. & Fletcher, L. & Evans, B., 2016. "Assessment of potential risks associated with chemicals in wastewater used for irrigation in arid and semiarid zones: A review," Agricultural Water Management, Elsevier, vol. 177(C), pages 419-431.
    7. Dorta-Santos, María & Tejedor, Marisa & Jiménez, Concepción & Hernández-Moreno, Jose M. & Díaz, Francisco J., 2016. "“Using marginal quality water for an energy crop in arid regions: Effect of salinity and boron distribution patterns”," Agricultural Water Management, Elsevier, vol. 171(C), pages 142-152.
    8. Ma, Kai & Wang, Zhenhua & Li, Haiqiang & Wang, Tianyu & Chen, Rui, 2022. "Effects of nitrogen application and brackish water irrigation on yield and quality of cotton," Agricultural Water Management, Elsevier, vol. 264(C).
    9. Wang, Ruoshui & Kang, Yaohu & Wan, Shuqin, 2015. "Effects of different drip irrigation regimes on saline–sodic soil nutrients and cotton yield in an arid region of Northwest China," Agricultural Water Management, Elsevier, vol. 153(C), pages 1-8.
    10. Hou, Xianghao & Xiang, Youzhen & Fan, Junliang & Zhang, Fucang & Hu, Wenhui & Yan, Fulai & Guo, Jinjin & Xiao, Chao & Li, Yuepeng & Cheng, Houliang & Li, Zhijun, 2021. "Evaluation of cotton N nutrition status based on critical N dilution curve, N uptake and residual under different drip fertigation regimes in Southern Xinjiang of China," Agricultural Water Management, Elsevier, vol. 256(C).
    11. GhassemiSahebi, Fakhroddin & Mohammadrezapour, Omolbani & Delbari, Masoomeh & KhasheiSiuki, Abbas & Ritzema, Henk & Cherati, Ali, 2020. "Effect of utilization of treated wastewater and seawater with Clinoptilolite-Zeolite on yield and yield components of sorghum," Agricultural Water Management, Elsevier, vol. 234(C).
    12. Komlan Koudahe & Aleksey Y. Sheshukov & Jonathan Aguilar & Koffi Djaman, 2021. "Irrigation-Water Management and Productivity of Cotton: A Review," Sustainability, MDPI, vol. 13(18), pages 1-21, September.
    13. Andarzian, B. & Bannayan, M. & Steduto, P. & Mazraeh, H. & Barati, M.E. & Barati, M.A. & Rahnama, A., 2011. "Validation and testing of the AquaCrop model under full and deficit irrigated wheat production in Iran," Agricultural Water Management, Elsevier, vol. 100(1), pages 1-8.
    14. Chen, Xiulong & Kang, Yaohu & Wan, Shuqin & Chu, Linlin & Li, Xiaobin, 2015. "Chinese rose (Rosa chinensis) cultivation in Bohai Bay, China, using an improved drip irrigation method to reclaim heavy coastal saline soils," Agricultural Water Management, Elsevier, vol. 158(C), pages 99-111.
    15. 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.
    16. Rosa, R.D. & Ramos, T.B. & Pereira, L.S., 2016. "The dual Kc approach to assess maize and sweet sorghum transpiration and soil evaporation under saline conditions: Application of the SIMDualKc model," Agricultural Water Management, Elsevier, vol. 177(C), pages 77-94.
    17. Panagiotis Christias & Ioannis N. Daliakopoulos & Thrassyvoulos Manios & Mariana Mocanu, 2020. "Comparison of Three Computational Approaches for Tree Crop Irrigation Decision Support," Mathematics, MDPI, vol. 8(5), pages 1-26, May.
    18. Amarasingha, R.P.R.K. & Suriyagoda, L.D.B. & Marambe, B. & Gaydon, D.S. & Galagedara, L.W. & Punyawardena, R. & Silva, G.L.L.P. & Nidumolu, U. & Howden, M., 2015. "Simulation of crop and water productivity for rice (Oryza sativa L.) using APSIM under diverse agro-climatic conditions and water management techniques in Sri Lanka," Agricultural Water Management, Elsevier, vol. 160(C), pages 132-143.
    19. Yongwei Liu & Zhenzhen Yang & Changxiong Zhu & Baogang Zhang & Hongna Li, 2023. "The Eco-Agricultural Industrial Chain: The Meaning, Content and Practices," IJERPH, MDPI, vol. 20(4), pages 1-12, February.
    20. 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).

    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:245:y:2021:i:c:s0378377420320989. 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.