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Extended Abstract

Machinery and Labour Requirements as Influenced by Diversified Farming Systems in The Australian Northern Grain Production Region †

1
CSIRO Agriculture and Food, P.O. Box 102, Toowoomba, QLD 4350, Australia
2
CSIRO Agriculture and Food, P.O. Box 1600, Canberra, ACT 2601, Australia
3
CSIRO Agriculture and Food, 306 Carmody Road, St. Lucia, QLD 4067, Australia
4
Centre for Agricultural Engineering, University of Southern Queensland, Toowoomba, QLD 4350, Australia
*
Author to whom correspondence should be addressed.
Presented at the Third International Tropical Agriculture Conference (TROPAG 2019), Brisbane, Australia, 11–13 November 2019.
Proceedings 2019, 36(1), 51; https://doi.org/10.3390/proceedings2019036051
Published: 16 January 2020
(This article belongs to the Proceedings of The Third International Tropical Agriculture Conference (TROPAG 2019))
Farming systems in tropical regions of the world have been shown to be underperforming. For instance, recent analysis that only about 29% of current crop sequences in the northern grains region of Australia are achieving 80% of their water-limited yield potential [1]. Consequently, several farming systems analyses have been conducted to enhance soil structure, water and nutrient use efficiency and the resilience of cropping systems to increasing soil-borne pathogens. While biophysical optimisation of the farming system may be possible to improve the efficiency of most farming systems, one key element that is often ignored is how the intensity and diversity of different cropping systems impact on the labour and machinery requirements. Considering these factors is crucial as they can influence the adoption of particular innovations at the farm level. Here, we combined the Agricultural Production Simulator (APSIM) outputs with farm surveys to examine the machinery and labour requirements of eight crop rotations in the northern cropping zone of Australia. Results showed that the low-intensity systems required 46% less labour per ha than the higher-intensive systems, while the less diverse systems required about 33% less labour per ha than the more diverse systems. Planting and spraying operations respectively represent about 27% and 37% of total fieldwork requirements. We conclude that diverse rotations may create higher labour demand and peak periods that might, in some cases, limit the adoption of diversified crop rotations in some farm businesses, suggesting that labour efficiency can be an important consideration in farming systems research and analysis.

Acknowledgments

The authors wish to thank the Grains Research and Development Corporation (GRDC) of Australia for their financial support. We also thank FarmLink Research, Australia for their assistance in data acquisition and Dr Ebenezer Senyo Yao Owusu Adjah and Mr Kweku Zenatunor for his assistance with data analysis.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Hochman, Z.; Prestwidge, D.; Carberry, P.S. Crop sequences in Australia’s northern grain zone are less agronomically efficient than implied by the sum of their parts. Agric. Syst. 2014, 129, 124–132. [Google Scholar] [CrossRef]
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MDPI and ACS Style

Kotir, J.H.; Bell, L.W.; Kirkegaard, J.A.; Whish, J.D.; Aikins, K.A. Machinery and Labour Requirements as Influenced by Diversified Farming Systems in The Australian Northern Grain Production Region. Proceedings 2019, 36, 51. https://doi.org/10.3390/proceedings2019036051

AMA Style

Kotir JH, Bell LW, Kirkegaard JA, Whish JD, Aikins KA. Machinery and Labour Requirements as Influenced by Diversified Farming Systems in The Australian Northern Grain Production Region. Proceedings. 2019; 36(1):51. https://doi.org/10.3390/proceedings2019036051

Chicago/Turabian Style

Kotir, Julius H., Lindsay W. Bell, John A. Kirkegaard, Jeremy D. Whish, and Kojo A. Aikins. 2019. "Machinery and Labour Requirements as Influenced by Diversified Farming Systems in The Australian Northern Grain Production Region" Proceedings 36, no. 1: 51. https://doi.org/10.3390/proceedings2019036051

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