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Simulated seasonal responses of grazed dairy pastures to nitrogen fertilizer in SE Australia: N loss and recovery

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  • Christie, K.M.
  • Smith, A.P.
  • Rawnsley, R.P.
  • Harrison, M.T.
  • Eckard, R.J.

Abstract

Evidence from farm level studies indicates that there is potential to improve nitrogen (N) fertilizer efficiency of Australian dairy farms. Increasing N fertilizer application rates to drive pasture dry matter production beyond an agronomic or economical optimum has the potential to result in detrimental environmental outcomes. Our study, using the biophysical whole-farm systems model DairyMod, modelled a range of N fertilizer rates on total N loss for five dairy sites through south-eastern Australia, using 18 years of historical climate. Nitrogen accumulation in plant biomass and soil N accumulation within and below the rootzone were estimated. Total N loss, in the form of volatilization, leaching, runoff and denitrification lost to the environment were also estimated. The reduction in N fertilizer inputs required to achieve 90% of relative yield (Y90), relative to maximum pasture production (Ymax), was > 50% across all sites and seasons. The associated reduction in total N loss when fertilizer was reduced from Ymax to Y90, varied between 34% and 74%, depending on site and season. Nitrogen recovery (proportion of N recovered in biomass relative to N fertilizer applied) exceeded 100% with lower N fertilizer rates (< 30 kg N ha-1 month-1) for most sites and seasons. Demand for N was high during spring due to high pasture growth and this was supported via N mineralization and legacy N build-up in winter. Nitrate leaching risk was highest in winter for the four temperate sites and autumn at the subtropical site. This study demonstrated the benefits of developing site and seasonal-specific N fertilizer best management practice guidelines that are both economical and environmentally beneficial. When considering whether to add more fertilizer, the value of additional pasture production needs to be weighed up against environmental N losses and the cost of additional N fertilizer to achieve this. The relationship between seasonal soil and climatic conditions and N loss and recovery were also examined for one rainfed site. As this study does not consider the externalities associated with N loss, recommendations need to be considered and amended in the context of location specificity and seasonal climatic conditions.

Suggested Citation

  • Christie, K.M. & Smith, A.P. & Rawnsley, R.P. & Harrison, M.T. & Eckard, R.J., 2020. "Simulated seasonal responses of grazed dairy pastures to nitrogen fertilizer in SE Australia: N loss and recovery," Agricultural Systems, Elsevier, vol. 182(C).
    • Handle: RePEc:eee:agisys:v:182:y:2020:i:c:s0308521x19306407
    DOI: 10.1016/j.agsy.2020.102847
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    References listed on IDEAS

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    1. Chapman, D.F. & Kenny, S.N. & Lane, N., 2011. "Pasture and forage crop systems for non-irrigated dairy farms in southern Australia: 3. Estimated economic value of additional home-grown feed," Agricultural Systems, Elsevier, vol. 104(8), pages 589-599, October.
    2. Stott, Kerry J. & Gourley, Cameron J.P., 2016. "Intensification, nitrogen use and recovery in grazing-based dairy systems," Agricultural Systems, Elsevier, vol. 144(C), pages 101-112.
    3. Christie, Karen M. & Smith, Andrew P. & Rawnsley, Richard P. & Harrison, Matthew T. & Eckard, Richard J., 2018. "Simulated seasonal responses of grazed dairy pastures to nitrogen fertilizer in SE Australia: Pasture production," Agricultural Systems, Elsevier, vol. 166(C), pages 36-47.
    4. Stott, Kerry J. & Malcolm, Bill & Gourley, Cameron J.P. & Hannah, Murray C. & Cox, Matthew, 2018. "The ‘Dairy Nitrogen Fertiliser Advisor’ - a method of testing farmers’ fertiliser decisions against a meta-analysis N-response function," AFBM Journal, Australasian Farm Business Management Network, vol. 15, December.
    5. Smith, Andrew P. & Christie, Karen M. & Rawnsley, Richard P. & Eckard, Richard J., 2018. "Fertiliser strategies for improving nitrogen use efficiency in grazed dairy pastures," Agricultural Systems, Elsevier, vol. 165(C), pages 274-282.
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    7. Asseng, Senthold & Thomas, Dean & McIntosh, Peter & Alves, Oscar & Khimashia, Nirav, 2012. "Managing mixed wheat–sheep farms with a seasonal forecast," Agricultural Systems, Elsevier, vol. 113(C), pages 50-56.
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    Cited by:

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    2. Ahmed Ibrahim Ahmed & Lulu Hou & Ruirui Yan & Xiaoping Xin & Yousif Mohamed Zainelabdeen, 2020. "The Joint Effect of Grazing Intensity and Soil Factors on Aboveground Net Primary Production in Hulunber Grasslands Meadow Steppe," Agriculture, MDPI, vol. 10(7), pages 1-19, July.
    3. He, Qinsi & Liu, De Li & Wang, Bin & Li, Linchao & Cowie, Annette & Simmons, Aaron & Zhou, Hongxu & Tian, Qi & Li, Sien & Li, Yi & Liu, Ke & Yan, Haoliang & Harrison, Matthew Tom & Feng, Puyu & Waters, 2022. "Identifying effective agricultural management practices for climate change adaptation and mitigation: A win-win strategy in South-Eastern Australia," Agricultural Systems, Elsevier, vol. 203(C).
    4. Ara, Iffat & Turner, Lydia & Harrison, Matthew Tom & Monjardino, Marta & deVoil, Peter & Rodriguez, Daniel, 2021. "Application, adoption and opportunities for improving decision support systems in irrigated agriculture: A review," Agricultural Water Management, Elsevier, vol. 257(C).
    5. Smith, Andrew P. & Christie, Karen M. & Harrison, Matthew T. & Eckard, Richard J., 2021. "Ammonia volatilisation from grazed, pasture based dairy farming systems," Agricultural Systems, Elsevier, vol. 190(C).

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