IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v296y2024ics0378377424001501.html
   My bibliography  Save this article

Yield response and water productivity of soybean (Glycine max L.) to deficit irrigation and sowing time in south-eastern Australia

Author

Listed:
  • Zeleke, Ketema
  • Nendel, Claas

Abstract

The aim of this study was to investigate irrigation strategies and sowing dates that would maximise soybean yield and water productivity. It is based on field experiments conducted during two seasons and simulation modelling. Irrigation treatments were 33%, 66%, 66% plus 100% during pod development and pod-fill stages, and 100% of crop evapotranspiration (ETc). In the first season experiment, cvs. Bidgee and Snowy were sown on 15 Nov. In the second season, cv. Bidgee was sown on 15 Nov and 15 Dec. Five sowing dates (1, 15, 30 Nov and 15, 31 Dec) and eight irrigation scenarios were analysed in-silico using the crop model APSIM. For the simulations, the first four irrigation scenarios were set by applying 50%ETc during one of the four growth stages: vegetative stage, flowering stage, pod development and pod-filling stage, and maturity stage. The other five irrigation treatments were 0%ETc, 25%ETc, 50%ETc, 75%ETc, and 100%ETc throughout the growing season. Soil water content and above-ground dry matter were measured at regular time intervals. Seed yield, 100-seed weight, oil and protein contents were determined at harvest. Water deficit during pod development and pod-filling stage had significant effect on seed yield. The flowering stage was the next most sensitive stage for water deficit. During both cropping seasons, the 33% treatment yielded 51% of the fully irrigated reference. The latter had a significantly higher water productivity than all the deficit treatments. Early-sown soybean had higher yield than the late sown soybean. Sowing as late as early December was found to be still suitable for double cropping without significant yield loss. The result of this study is particularly useful for soybean farmers in water-scarce regions, such as south-eastern Australia, who practice double cropping with a tight cropping calendar.

Suggested Citation

  • Zeleke, Ketema & Nendel, Claas, 2024. "Yield response and water productivity of soybean (Glycine max L.) to deficit irrigation and sowing time in south-eastern Australia," Agricultural Water Management, Elsevier, vol. 296(C).
    • Handle: RePEc:eee:agiwat:v:296:y:2024:i:c:s0378377424001501
    DOI: 10.1016/j.agwat.2024.108815
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377424001501
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.agwat.2024.108815?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. Zeleke, Ketema & Nendel, Claas, 2019. "Growth and yield response of faba bean to soil moisture regimes and sowing dates: Field experiment and modelling study," Agricultural Water Management, Elsevier, vol. 213(C), pages 1063-1077.
    2. Gajić, Boško & Kresović, Branka & Tapanarova, Angelina & Životić, Ljubomir & Todorović, Mladen, 2018. "Effect of irrigation regime on yield, harvest index and water productivity of soybean grown under different precipitation conditions in a temperate environment," Agricultural Water Management, Elsevier, vol. 210(C), pages 224-231.
    3. Zeleke, K.T. & Nendel, C., 2016. "Analysis of options for increasing wheat (Triticum aestivum L.) yield in south-eastern Australia: The role of irrigation, cultivar choice and time of sowing," Agricultural Water Management, Elsevier, vol. 166(C), pages 139-148.
    4. Wang, Feng & Meng, Haofeng & Xie, Ruizhi & Wang, Keru & Ming, Bo & Hou, Peng & Xue, Jun & Li, Shaokun, 2023. "Optimizing deficit irrigation and regulated deficit irrigation methods increases water productivity in maize," Agricultural Water Management, Elsevier, vol. 280(C).
    5. Zhang, Junxiao & Wang, Qianqing & Xia, Guimin & Wu, Qi & Chi, Daocai, 2021. "Continuous regulated deficit irrigation enhances peanut water use efficiency and drought resistance," Agricultural Water Management, Elsevier, vol. 255(C).
    6. Candogan, Burak Nazmi & Sincik, Mehmet & Buyukcangaz, Hakan & Demirtas, Cigdem & Goksoy, Abdurrahim Tanju & Yazgan, Senih, 2013. "Yield, quality and crop water stress index relationships for deficit-irrigated soybean [Glycine max (L.) Merr.] in sub-humid climatic conditions," Agricultural Water Management, Elsevier, vol. 118(C), pages 113-121.
    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. Xie, Shuhua & Leib, Brian G. & Farhadi-Machekposhti, Mabood & Grant, Timothy James & Adotey, Nutifafa & Butler, David M., 2024. "Soybean yield response to managed depletion irrigation regimes in a Mid-South silt loam soil," Agricultural Water Management, Elsevier, vol. 292(C).
    2. Tianli Wang & Yanji Ma & Siqi Luo, 2023. "Spatiotemporal Evolution and Influencing Factors of Soybean Production in Heilongjiang Province, China," Land, MDPI, vol. 12(12), pages 1-29, November.
    3. Chen, Qi & Qu, Zhaoming & Ma, Guohua & Wang, Wenjing & Dai, Jiaying & Zhang, Min & Wei, Zhanbo & Liu, Zhiguang, 2022. "Humic acid modulates growth, photosynthesis, hormone and osmolytes system of maize under drought conditions," Agricultural Water Management, Elsevier, vol. 263(C).
    4. França, Ana Carolina Ferreira & Coelho, Rubens Duarte & da Silva Gundim, Alice & de Oliveira Costa, Jéfferson & Quiloango-Chimarro, Carlos Alberto, 2024. "Effects of different irrigation scheduling methods on physiology, yield, and irrigation water productivity of soybean varieties," Agricultural Water Management, Elsevier, vol. 293(C).
    5. Wei, Zheng & Paredes, Paula & Liu, Yu & Chi, Wei Wei & Pereira, Luis S., 2015. "Modelling transpiration, soil evaporation and yield prediction of soybean in North China Plain," Agricultural Water Management, Elsevier, vol. 147(C), pages 43-53.
    6. Liu, Lining & Wang, Tianshu & Wang, Lichun & Wu, Xun & Zuo, Qiang & Shi, Jianchu & Sheng, Jiandong & Jiang, Pingan & Chen, Quanjia & Ben-Gal, Alon, 2022. "Plant water deficit index-based irrigation under conditions of salinity," Agricultural Water Management, Elsevier, vol. 269(C).
    7. Tomaz, Alexandra & Palma, José Ferro & Ramos, Tiago & Costa, Maria Natividade & Rosa, Elizabete & Santos, Marta & Boteta, Luís & Dôres, José & Patanita, Manuel, 2021. "Yield, technological quality and water footprints of wheat under Mediterranean climate conditions: A field experiment to evaluate the effects of irrigation and nitrogen fertilization strategies," Agricultural Water Management, Elsevier, vol. 258(C).
    8. Zhu, Hongyan & Zheng, Bingyan & Nie, Weibo & Fei, Liangjun & Shan, Yuyang & Li, Ge & Liang, Fei, 2024. "Optimization of maize irrigation strategy in Xinjiang, China by AquaCrop based on a four-year study," Agricultural Water Management, Elsevier, vol. 297(C).
    9. Panayiota Papastylianou & Dimitrios N. Vlachostergios & Christos Dordas & Evangelia Tigka & Paschalis Papakaloudis & Anastasia Kargiotidou & Emmanouil Pratsinakis & Avraam Koskosidis & Chrysanthi Pank, 2021. "Genotype X Environment Interaction Analysis of Faba Bean ( Vicia faba L.) for Biomass and Seed Yield across Different Environments," Sustainability, MDPI, vol. 13(5), pages 1-18, February.
    10. Shi, Jianchu & Wu, Xun & Wang, Xiaoyu & Zhang, Mo & Han, Le & Zhang, Wenjing & Liu, Wen & Zuo, Qiang & Wu, Xiaoguang & Zhang, Hongfei & Ben-Gal, Alon, 2020. "Determining threshold values for root-soil water weighted plant water deficit index based smart irrigation," Agricultural Water Management, Elsevier, vol. 230(C).
    11. Montoya, F. & García, C. & Pintos, F. & Otero, A., 2017. "Effects of irrigation regime on the growth and yield of irrigated soybean in temperate humid climatic conditions," Agricultural Water Management, Elsevier, vol. 193(C), pages 30-45.
    12. Mengya Hua & Yuyan Zhou & Cailian Hao & Qiang Yan, 2023. "Analyzing the Drivers of Agricultural Irrigation Water Demand in Water-Scarce Areas: A Comparative Study of Two Regions with Different Levels of Irrigated Agricultural Development," Sustainability, MDPI, vol. 15(20), pages 1-14, October.
    13. Li, Siping & Zhao, Lei & Sun, Ninghui & Liu, Qing & Li, Huan, 2021. "Photosynthesis product allocation and yield in sweetpotato with different irrigation levels at mid-season," Agricultural Water Management, Elsevier, vol. 246(C).
    14. Zhang, Junxiao & Liu, Xiaowei & Wu, Qi & Qiu, Yuanze & Chi, Daocai & Xia, Guimin & Arthur, Emmanuel, 2023. "Mulched drip irrigation and maize straw biochar increase peanut yield by regulating soil nitrogen, photosynthesis and root in arid regions," Agricultural Water Management, Elsevier, vol. 289(C).
    15. Branka KRESOVIĆ & Bosko Andrija GAJIC & Angelina TAPANAROVA & Goran DUGALIĆ, 2017. "Yield and chemical composition of soybean seed under different irrigation regimes in the Vojvodina region," Plant, Soil and Environment, Czech Academy of Agricultural Sciences, vol. 63(1), pages 34-39.
    16. Hao, Shirui & Ryu, Dongryeol & Western, Andrew & Perry, Eileen & Bogena, Heye & Franssen, Harrie Jan Hendricks, 2021. "Performance of a wheat yield prediction model and factors influencing the performance: A review and meta-analysis," Agricultural Systems, Elsevier, vol. 194(C).
    17. Liao, Renkuan & Zhang, Shirui & Zhang, Xin & Wang, Mingfei & Wu, Huarui & Zhangzhong, Lili, 2021. "Development of smart irrigation systems based on real-time soil moisture data in a greenhouse: Proof of concept," Agricultural Water Management, Elsevier, vol. 245(C).
    18. Tafadzwanashe Mabhaudhi & Tendai Chibarabada & Albert Modi, 2016. "Water-Food-Nutrition-Health Nexus: Linking Water to Improving Food, Nutrition and Health in Sub-Saharan Africa," IJERPH, MDPI, vol. 13(1), pages 1-19, January.
    19. Morales-Santos, Angela & Nolz, Reinhard, 2023. "Assessment of canopy temperature-based water stress indices for irrigated and rainfed soybeans under subhumid conditions," Agricultural Water Management, Elsevier, vol. 279(C).
    20. Wang, Zeyi & Zhang, Hengjia & Wang, Yingying & Wang, Yong & Lei, Lian & Liang, Chao & Wang, Yucai, 2023. "Deficit irrigation decision-making of indigowoad root based on a model coupling fuzzy theory and grey relational analysis," Agricultural Water Management, Elsevier, vol. 275(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:296:y:2024:i:c:s0378377424001501. 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.