Data from: Starch and dextrose at 2 levels of rumen-degradable protein in iso-nitrogenous diets: Effects on lactation performance, ruminal measurements, methane emission, digestibility, and nitrogen balance of dairy cows.

This feeding trial was designed to investigate two separate questions. The first question is, “What are the effects of substituting two non-fiber carbohydrate (NFC) sources at two rumen-degradable protein (RDP) levels in the diet on apparent total-tract nutrient digestibility, manure production and nitrogen (N) excretion in dairy cows?”. This is relevant because most of the N ingested by dairy cows is excreted, resulting in negative effects on environmental quality. The second question is, “Is phenotypic residual feed intake (pRFI) correlated with feed efficiency, N use efficiency, and metabolic energy losses (via urinary N and enteric CH4) in dairy cows?”. The pRFI is the difference between what an animal is expected to eat, given its level of productivity, and what it actually eats. The goal was to determine whether production of CH4, urinary N or fecal N is a driver of pRFI.

This experiment was conducted at the Dairy Cattle Center of University of Wisconsin-Madison. The use and care of animals was approved by the University of Wisconsin-Madison Research Animal and Resource Committee.

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Data from: Starch and dextrose at 2 levels of rumen-degradable protein in iso-nitrogenous diets: Effects on lactation performance, ruminal measurements, methane emission, digestibility, and nitrogen balance of dairy cows.xlsx Dataset data dictionary
This is the data dictionary for the starch and dextrose feeding trial...
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Data from: Starch and dextrose at 2 levels of rumen-degradable protein in iso-nitrogenous diets: Effects on lactation performance, ruminal measurements, methane emission, digestibility, and nitrogen balance of dairy cows.xlsx
These are the data files for the starch and dextrose feeding trial...
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README file for Data from: Starch and dextrose at 2 levels of rumen-degradable protein in iso-nitrogenous diets: Effects on lactation performance, ruminal measurements, methane emission, digestibility, and nitrogen balance of dairy cows.txt
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Field	Value
Tags	dairy cattle milk methane flux nitrogen feeding ecology
Modified	2023-02-21
Release Date	2019-03-04
Identifier	f56614bf-ec32-41db-a33e-f0069ff4edc4
Publisher	Ag Data Commons
Spatial / Geographical Coverage Location	S8822 Sunset Dr, Prairie Du Sac, WI 53578
Temporal Coverage	January 1, 2017 to December 31, 2017
License	Creative Commons CCZero
Contact Name	Barford, Carol
Contact Email	carol.barford@wisc.edu
Public Access Level	Public

Extended Metadata:

Field	Value
Authors	Barford, Carol (ORCID) Sun, Fei Aguerre, Matias, J. (ORCID) Wattiaux, Michel A. (ORCID)
Peer Reviewed	No
Intended Use	This dataset provides basic information on the response of milk production, animal nitrogen balance, and methane emission to dietary changes, especially changing protein and starch levels. The information can be used to modify dairy cow diets to achieve environmental quality goals. The data can also be used to parameterize statistical or simulation models of dairy cow metabolism or production performance, to investigate further questions about optimal feeding and treatment of the animals.
Use Limitations	The data are specific to the breed, age, parity and housing conditions of the animals in the experiment, and should be extrapolated to other contexts with care.
Equipment or Software Used	GreenFeed Automated Emissions Measurement Foss FT6000 Infrared Milk Analyzer Synergy H-1 Multi-Mode Reader Ankom 200 Fiber Analyzer Laqua Twin pH-meter model B-713 Clarus 500 Gas Chromatograph, Perkin-Elmer Leco FP2000 Nitrogen Analyzer Lachat Quik-Chem 8000 FIA
Funding Sources	National Institute of Food and Agriculture 2013-68002-20525
Primary Article	Sun, F., Aguerre, M., & Wattiaux, M. (2019). Starch and dextrose at 2 levels of rumen-degradable protein in iso-nitrogenous diets: Effects on lactation performance, ruminal measurements, methane emission, digestibility, and nitrogen balance of dairy cows. Journal of Dairy Science, 102(2), 1281-1293. https://doi.org/10.3168/jds.2018-15041 AgID: 10113/6289186
Method Citation	Dorich, C., Varner, R., Pereira, A., Martineau, R., Soder, K., & Brito, A. (2015). Short communication: Use of a portable, automated, open-circuit gas quantification system and the sulfur hexafluoride tracer technique for measuring enteric methane emissions in Holstein cows fed ad libitum or restricted. Journal of Dairy Science, 98(4), 2676-2681. https://doi.org/10.3168/jds.2014-8348 Dorich, C., Varner, R., Pereira, A., Martineau, R., Soder, K., & Brito, A. (2015). Short communication: Use of a portable, automated, open-circuit gas quantification system and the sulfur hexafluoride tracer technique for measuring enteric methane emissions in Holstein cows fed ad libitum or restricted. Journal of Dairy Science, 98(4), 2676-2681. https://doi.org/10.3168/jds.2014-8348 Dorich, C., Varner, R., Pereira, A., Martineau, R., Soder, K., & Brito, A. (2015). Short communication: Use of a portable, automated, open-circuit gas quantification system and the sulfur hexafluoride tracer technique for measuring enteric methane emissions in Holstein cows fed ad libitum or restricted. Journal of Dairy Science, 98(4), 2676-2681. https://doi.org/10.3168/jds.2014-8348 Dorich, C., Varner, R., Pereira, A., Martineau, R., Soder, K., & Brito, A. (2015). Short communication: Use of a portable, automated, open-circuit gas quantification system and the sulfur hexafluoride tracer technique for measuring enteric methane emissions in Holstein cows fed ad libitum or restricted. Journal of Dairy Science, 98(4), 2676-2681. https://doi.org/10.3168/jds.2014-8348 Dorich, C., Varner, R., Pereira, A., Martineau, R., Soder, K., & Brito, A. (2015). Short communication: Use of a portable, automated, open-circuit gas quantification system and the sulfur hexafluoride tracer technique for measuring enteric methane emissions in Holstein cows fed ad libitum or restricted. Journal of Dairy Science, 98(4), 2676-2681. https://doi.org/10.3168/jds.2014-8348 Dorich, C., Varner, R., Pereira, A., Martineau, R., Soder, K., & Brito, A. (2015). Short communication: Use of a portable, automated, open-circuit gas quantification system and the sulfur hexafluoride tracer technique for measuring enteric methane emissions in Holstein cows fed ad libitum or restricted. Journal of Dairy Science, 98(4), 2676-2681. https://doi.org/10.3168/jds.2014-8348 Vidal, B. C. , Jr., Rausch, K. D., Tumbleson, M. E., & Singh, V. (2009). Determining Corn Germ and Pericarp Residual Starch by Acid Hydrolysis. Cereal Chemistry Journal, 86(2), 133-135. https://doi.org/10.1094/cchem-86-2-0133 Deriaz, R. E. (1961). Routine analysis of carbohydrates and lignin in herbage. Journal of the Science of Food and Agriculture, 12(2), 152-160. https://doi.org/10.1002/jsfa.2740120210 Deriaz, R. E. (1961). Routine analysis of carbohydrates and lignin in herbage. Journal of the Science of Food and Agriculture, 12(2), 152-160. https://doi.org/10.1002/jsfa.2740120210 Deriaz, R. E. (1961). Routine analysis of carbohydrates and lignin in herbage. Journal of the Science of Food and Agriculture, 12(2), 152-160. https://doi.org/10.1002/jsfa.2740120210 Valadares, R., Broderick, G., Filho, S. V., & Clayton, M. (1999). Effect of Replacing Alfalfa Silage with High Moisture Corn on Ruminal Protein Synthesis Estimated from Excretion of Total Purine Derivatives. Journal of Dairy Science, 82(12), 2686-2696. https://doi.org/10.3168/jds.s0022-0302(99)75525-6 Cochran, R. C., Adams, D. C., Wallace, J. D., & Galyean, M. L. (1986). Predicting Digestibility of Different Diets with Internal Markers: Evaluation of Four Potential Markers. Journal of Animal Science, 63(5), 1476-1483. https://doi.org/10.2527/jas1986.6351476x Cochran, R. C., Adams, D. C., Wallace, J. D., & Galyean, M. L. (1986). Predicting Digestibility of Different Diets with Internal Markers: Evaluation of Four Potential Markers. Journal of Animal Science, 63(5), 1476-1483. https://doi.org/10.2527/jas1986.6351476x Cochran, R. C., Adams, D. C., Wallace, J. D., & Galyean, M. L. (1986). Predicting Digestibility of Different Diets with Internal Markers: Evaluation of Four Potential Markers. Journal of Animal Science, 63(5), 1476-1483. https://doi.org/10.2527/jas1986.6351476x
Dataset DOI (digital object identifier)	10.15482/USDA.ADC/1503442
Product Type	Dataset
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Field	Value
OSTI Identifier
ISO Topic(s)	biota economy environment farming
State or Territory	Wisconsin
National Agricultural Library Thesaurus Term	starch glucose diet lactation methane production digestibility nitrogen balance dairy cows carbohydrates nitrogen excretion environmental quality phenotype feed intake feed conversion nutrient use efficiency energy methane laboratory animals Holstein greenhouse gas emissions air herds equipment milk milk yield body weight statistical analysis barns somatotropin soybean meal blood meal experimental diets total mixed rations forage alfalfa silage corn silage wheat straw neutral detergent fiber true protein lactose urea nitrogen milk analysis Wisconsin equations urine nutritional intervention head milking carbon dioxide ovens ingredients nutrient content lignin carbohydrate content feces cannulas bags nylon laundry water washing alpha-amylase sodium sulfide blood sampling blood serum rumen fluids pH models trichloroacetic acid volatile fatty acids ambient temperature gas chromatography ammonium nitrogen sulfuric acid rectum thawing creatinine colorimetry allantoin uric acid liquids crude protein furnaces organic matter nutrient intake nutrients climate change milk production production technology Great Lakes region National Institute of Food and Agriculture greenhouse gases life cycle assessment Great Lakes dairy farming farm management
Ag Data Commons Keywords	Agricultural Products Animals Dairy Cattle Agricultural Products Animals Dairy Agricultural Products Animals Agricultural Products Animals & Livestock Animal production Manure management Animals & Livestock Animal production Animals & Livestock Life Cycle Assessment Animals & Livestock Agroecosystems & Environment Agroecosystems & Environment Plant and animal

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