Author:
Muleke Albert,Harrison Matthew Tom,Eisner Rowan,de Voil Peter,Yanotti Maria,Liu Ke,Yin Xiaogang,Wang Weilu,Monjardino Marta,Zhao Jin,Zhang Feng,Fahad Shah,Zhang Yunbo
Abstract
AbstractThe climate crisis challenges farmer livelihoods as increasingly frequent extreme weather events impact the quantum and consistency of crop production. Here, we develop a novel paradigm to raise whole farm profit by optimising manifold variables that drive the profitability of irrigated grain farms. We build then invoke a new decision support tool—WaterCan Profit—to optimise crop type and areas that collectively maximise farm profit. We showcase four regions across a climate gradient in the Australian cropping zone. The principles developed can be applied to cropping regions or production systems anywhere in the world. We show that the number of profitable crop types fell from 35 to 10 under future climates, reflecting the interplay between commodity price, yield, crop water requirements and variable costs. Effects of climate change on profit were not related to long-term rainfall, with future climates depressing profit by 11–23% relative to historical climates. Impacts of future climates were closely related to crop type and maturity duration; indeed, many crop types that were traditionally profitable under historical climates were no longer profitable in future. We demonstrate that strategic whole farm planning of crop types and areas can yield significant economic benefits. We suggest that future work on drought adaptation consider genetic selection criteria more diverse than phenology and yield alone. Crop types with (1) higher value per unit grain weight, (2) lower water requirements and (3) higher water-use efficiency are more likely to ensure the sustainability and prosperity of irrigated grain production systems under future climates.
Publisher
Springer Science and Business Media LLC
Reference101 articles.
1. ABS. Agricultural Commodities, Australia: 2019–20 financial year. Canberra, Australia. Australian Bureau of Statistics (ABS). Retrieved from12 Nov 2021. https://www.abs.gov.au/statistics/industry/agriculture (2021).
2. BoM and CSIRO. State of the Climate 2018. CSIRO, Melbourne, Australia. Commonwealth Scientific and Industrial Research Organisation (CSIRO) and the Bureau of Meteorology (BoM). Retrieved from 20 May 2020. https://www.csiro.au/en/Showcase/state-of-the-climate (2018).
3. Harrison, M. T. et al. Increasing ewe genetic fecundity improves whole-farm production and reduces greenhouse gas emissions intensities: 1 Sheep production and emissions intensities. Agric. Syst. 131, 23–33. https://doi.org/10.1016/j.agsy.2014.07.008 (2014).
4. Harrison, M. T. et al. The concordance between greenhouse gas emissions, livestock production and profitability of extensive beef farming systems. Anim. Prod. Sci. 56(3), 370–384. https://doi.org/10.1071/AN15515 (2016).
5. Alcock, D. J., Harrison, M. T., Rawnsley, R. P. & Eckard, R. J. Can animal genetics and flock management be used to reduce greenhouse gas emissions but also maintain productivity of wool-producing enterprises?. Agric. Syst. 132, 25–34. https://doi.org/10.1016/j.agsy.2014.06.007 (2015).
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