Development of an on-farm model to predict flow of fecal volatile solids to the liquid and solid handling systems of commercial California dairy farms. (15th May 2020)
- Record Type:
- Journal Article
- Title:
- Development of an on-farm model to predict flow of fecal volatile solids to the liquid and solid handling systems of commercial California dairy farms. (15th May 2020)
- Main Title:
- Development of an on-farm model to predict flow of fecal volatile solids to the liquid and solid handling systems of commercial California dairy farms
- Authors:
- Cohen-Davidyan, T.
Meyer, D.
Robinson, P.H. - Abstract:
- Highlights: A model was created to predict fecal volatile solids in dairy farm manure. A key limiting factor to model creation was time cattle spent on concrete surfaces. Collected data showed amounts of time that cattle spend on concrete surfaces. Model evaluation showed that most (~77%) fecal VS was from lactating cows. The model showed liquid fecal VS of 65% for freestall and 37% for drylot dairies. Abstract: A source of methane (CH4 ) emissions from dairy farms arefecal volatile solids (VS) produced by cattle, which is impacted by herd size, cattle type, feed intake/composition and farm management practices. Where cattle deposit fecal VS in their pen is important in this regard since that deposited on concrete, which will be handled and stored in a liquid form, is a likely source of CH4 emissions, whereas fecal VS deposited on drylot surfaces will be handled and stored in a dry form and is a minor source of CH4 emissions. Our objective was to create a model to assist dairy farmers and regulators make informed evaluations of impacts of dairy farm management practices on potential CH4 emissions from fecal VS. Evaluation of initial model outputs led to on-farm data collection of the model inputs which influenced predicted fecal VS entering the liquid and solid manure handling systems. A key input limitation was lack of information on cattle fecal deposition locations within pens. Data collection used four dairy farms to measure time that cattle spent on concrete surfacesHighlights: A model was created to predict fecal volatile solids in dairy farm manure. A key limiting factor to model creation was time cattle spent on concrete surfaces. Collected data showed amounts of time that cattle spend on concrete surfaces. Model evaluation showed that most (~77%) fecal VS was from lactating cows. The model showed liquid fecal VS of 65% for freestall and 37% for drylot dairies. Abstract: A source of methane (CH4 ) emissions from dairy farms arefecal volatile solids (VS) produced by cattle, which is impacted by herd size, cattle type, feed intake/composition and farm management practices. Where cattle deposit fecal VS in their pen is important in this regard since that deposited on concrete, which will be handled and stored in a liquid form, is a likely source of CH4 emissions, whereas fecal VS deposited on drylot surfaces will be handled and stored in a dry form and is a minor source of CH4 emissions. Our objective was to create a model to assist dairy farmers and regulators make informed evaluations of impacts of dairy farm management practices on potential CH4 emissions from fecal VS. Evaluation of initial model outputs led to on-farm data collection of the model inputs which influenced predicted fecal VS entering the liquid and solid manure handling systems. A key input limitation was lack of information on cattle fecal deposition locations within pens. Data collection used four dairy farms to measure time that cattle spent on concrete surfaces within day among season, as well as other model inputs. The final model, populated with collected data, showed that lactating cattle contribute the overwhelming proportion of fecal VS, 77% in the composite dairy farms, and that a composite freestall dairy farm had 65% of total fecal VS deposited on concrete annually with the remainder on drylot surfaces. In contrast, a composite drylot dairy farm had 37% of fecal VS deposited on concrete annually. … (more)
- Is Part Of:
- Waste management. Volume 109(2020)
- Journal:
- Waste management
- Issue:
- Volume 109(2020)
- Issue Display:
- Volume 109, Issue 2020 (2020)
- Year:
- 2020
- Volume:
- 109
- Issue:
- 2020
- Issue Sort Value:
- 2020-0109-2020-0000
- Page Start:
- 127
- Page End:
- 135
- Publication Date:
- 2020-05-15
- Subjects:
- Methane -- Cattle -- Voidance behavior -- Liquid manure
AC animal class -- AP animals in pen -- aNDFom neutral detergent fiber assayed with a heat stable amylase and expressed without ash -- BCS body condition score -- BCS3BW BCS corrected to BCS=3 -- BW body weight -- CARB California Air Resources Board -- CC cattle class -- CDFA California Department of Food and Agriculture -- DA diet ash -- DM dry matter -- DNDF diet aNDF -- FTADU fixed time of actual drylot use -- GHG greenhouse gas -- GOTD gates open to drylot -- LT head lock time -- LW head locks per week -- MF milking frequency -- MofY month of year -- OM organic matter (also VS in manure) -- PC pen class -- PHDU potential hours of drylot use -- PDMO predicted DM output -- POMIPD predicted OM output routed to the solid manure handling system -- POMOA predicted OM output (kg/animal/day) -- POMOP predicted OM output (kg/pen/day) -- POMOPL predicted OM output routed to the liquid manure handling system -- SEA season of the year -- SJV San Joaquin Valley of California -- SFM spring/fall months -- SM summer months -- SP sentinel pens -- TMR total mixed ration -- TOC time on concrete -- TM time at milking -- VS volatile solids (also OM in diets) -- WM winter months
Hazardous wastes -- Periodicals
Refuse and refuse disposal -- Periodicals
363.728 - Journal URLs:
- http://www.sciencedirect.com/science/journal/0956053X ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.wasman.2020.04.018 ↗
- Languages:
- English
- ISSNs:
- 0956-053X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 9266.674500
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British Library HMNTS - ELD Digital store - Ingest File:
- 13398.xml