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Cotton crop phenology in a new temperature regime

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  • Luo, Qunying
  • Bange, Michael
  • Clancy, Loretta

Abstract

The daily outputs of the CSIRO Conformal Cubic Atmospheric Model driven by four general circulation models (GCMs) were used by a stochastic weather generator, LARS-WG, to construct four local climate change scenarios (CCSs) at nine key cotton production areas in eastern Australia. These CCSs were then linked to daily temperature-driven models of cotton phenology to examine the magnitude of the effects of increased temperature on the initiation and duration of key crop phenophases and on the occurrence of heat stress and cold shocks during the growing season. The results show that when using 1st Oct. as sowing time (1) the timing of emergence, 1st square, 1st flower and 1st open boll advanced 1–9, 4–13, 5–14 and 8–16 days, respectively, for the period centred on 2030 compared to baseline; (2) when crops were planted 10 days earlier, the emergence stage occurred earlier in most of the locations while other phenological events changed slightly (∼1 day) in comparison with 1st Oct. sowing; when crops were planted 10 days later, all these events were generally delayed (∼1.5 days) in comparison with 1st Oct. sowing; (3) the timing of the last effective square, last effective flower and last harvestable boll were delayed 7–12, 6–9 and 3–9 days, respectively, across locations (except St George) and GCMs; (4) the fruit development period increased up to 2–3 weeks; (5) the number of hot days increased across all locations and growing season (GS) months except May with the warmer months (Dec., Jan. and Feb.) and locations increased more; and (6) the number of cold shocks decreased or remained the same across locations and GS months except Jan. and Feb. with cold months and places decreased more. The results show that there will be less impact of cold temperatures on earlier growth and potentially a longer growing season that can improve crop yield. However, there will be more incidences of hot days impacting growth, and more rapid crop development in late phenological stages (especially during boll filling) that may limit the opportunities associated with increases in growing season length without adjustments in management.

Suggested Citation

  • Luo, Qunying & Bange, Michael & Clancy, Loretta, 2014. "Cotton crop phenology in a new temperature regime," Ecological Modelling, Elsevier, vol. 285(C), pages 22-29.
    • Handle: RePEc:eee:ecomod:v:285:y:2014:i:c:p:22-29
    DOI: 10.1016/j.ecolmodel.2014.04.018
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    References listed on IDEAS

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    1. Qunying Luo, 2011. "Temperature thresholds and crop production: a review," Climatic Change, Springer, vol. 109(3), pages 583-598, December.
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    1. Chen, Xiaoping & Qi, Zhiming & Gui, Dongwei & Gu, Zhe & Ma, Liwang & Zeng, Fanjiang & Li, Lanhai, 2019. "Simulating impacts of climate change on cotton yield and water requirement using RZWQM2," Agricultural Water Management, Elsevier, vol. 222(C), pages 231-241.
    2. Li, Na & Yao, Ning & Li, Yi & Chen, Junqing & Liu, Deli & Biswas, Asim & Li, Linchao & Wang, Tianxue & Chen, Xinguo, 2021. "A meta-analysis of the possible impact of climate change on global cotton yield based on crop simulation approaches," Agricultural Systems, Elsevier, vol. 193(C).
    3. Qunying Luo & Michael Bange & David Johnston, 2016. "Environment and cotton fibre quality," Climatic Change, Springer, vol. 138(1), pages 207-221, September.
    4. Allyson Williams & Neil White & Shahbaz Mushtaq & Geoff Cockfield & Brendan Power & Louis Kouadio, 2015. "Quantifying the response of cotton production in eastern Australia to climate change," Climatic Change, Springer, vol. 129(1), pages 183-196, March.
    5. Desheng Wang & Chengkun Wang & Lichao Xu & Tiecheng Bai & Guozheng Yang, 2022. "Simulating Growth and Evaluating the Regional Adaptability of Cotton Fields with Non-Film Mulching in Xinjiang," Agriculture, MDPI, vol. 12(7), pages 1-20, June.
    6. Kamkar, Behnam & Feyzbakhsh, Mohammad Taghi & Mokhtarpour, Hassan & Barbir, Jelena & Grahić, Jasmin & Tabor, Sylwester & Azadi, Hossein, 2023. "Effect of heat stress during anthesis on the Summer Maize grain formation: Using integrated modelling and multi-criteria GIS-based method," Ecological Modelling, Elsevier, vol. 481(C).

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