Arriaga et al ggaa 2013
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  • 1. BATFARM Software: A Support Tool to Mitigate Gaseous Losses at Dairy Housing in the Atlantic Region Arriaga, H.1*, Aguilar, M.2, Abaigar, A.2, Cordovín, L.2, Merino, P.1 1NEIKER-Tecnalia, Environment Quality Department, 48160, Derio (Bizkaia), ES 2INTIA, Sustainable Systems Department, 31610, Villaba (Navarra), ES *Corresponding author: harriaga@neiker.net INTRODUCTION  BREF documents, in which best available techniques (BAT) are reported, are referred to intensive rearing of poultry and pigs. However, there is not BREF document for dairy farming despite scientific and social interest.  Objective: to set-up a novel model in which the application of mitigation strategies is simulated at dairy housing.  Model set-up by approaches between empirical and mechanistic models.  Farm Description: Herd (Milking Cows, Dry Cows, Calves < 12 months and Heifers 12-26 months); Management (Grazing or Confinement); Type of Facility (Freestall or Tie-stall, Solid Floor or Slatted Floor, Deep-Litter or Cubicles).  Zootechnical Data: Herd Size; Milk Yield; Nutrient Intake (Diets based on Grass Silage/Hay, Maize Silage, Total Mixed Rations or Grazing); Body Weight; Nutrient Retention; Manure Production (Solid Manure/Slurry).  Gaseous Losses: NH3, adapting the formula reported by Rigolot et al. (2010) from swine to dairy cattle; Enteric CH4, literature review and national inventories; N2O and CH4 Manure Management, IPCC Tier 2 default values.  Mitigation: Nutrition (Nutrient Fitness, Phase Feeding, Electronic Collars); Manure Management (Removal System and Frequency); Technology (Deep Pit Aeration, Curved Slat Mats, Slatted Floors with Valves, Milk Pre-Cooling, Tank Heat Recovery). Case Study: Dairy farm (Table 1) from northern Spain (temp, 11ºC; rain, 912 mm) under 2 scenarios (Table 2). MATERIAL & METHODS Parameters Description Number of Adult Cows 60 Number of Young Cattle 30 Milk Yield, kg cow-1 year-1 7,000 Animal Management Grazing (May-Sept) Nutrition Adult Cows Grass & Maize Silage Nutrition Young Cattle Grass based Diets Parameters Scenario A Scenario B Electronic Collars No Yes Removal Frequency Solid Manure 6 Months Monthly Slurry Monthly 2 Weeks Table 1. Dairy Farm Characterisation. Table 2. Description of Scenarios A and B. RESULTS Figure 1. Monthly trend on NH3-N, N2O-N and CH4 (enteric and manure) emission at dairy housing.  BATFARM Software integrates information to mitigate gaseous losses at dairy facilities.  Further test will be necessary to validate the results provided by BATFARM Software. 10% 11% 12% CONCLUSIONS This work has been funded by BATFARM Interreg-Atlantic Area Project (2009-1/071): Evaluation of best available techniques to decrease air and water pollution in animal farms.