This codebook.txt file was generated on 2017/02/13 by Pedro E. Urriola and updated on 20190213 by DRUM staff

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GENERAL INFORMATION
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1. Title: Database of nutrient composition of animal protein meals 


2. Author Information


  Principal Investigator Contact Information
        Name: Pedro E. Urriola
           Institution: University of Minnesota
           Address: 335F AS/VM 1288 Fitch Ave. St Paul, MN 55108
           Email: urrio001@umn.edu


  Associate or Co-investigator Contact Information
        Name: Gerald C. Shurson
           Institution: University of Minnesota
           Address: 335F AS/VM 1288 Fitch Ave. St Paul, MN 55108
           Email: shurs001@umn.edu


3. Date of data collection (single date, range, approximate date) <suggested format YYYYMMDD>
Data were collected between December 2012 and January 2014

4. Geographic location of data collection (where was data collected?): 
Sample were collected in multiple processing plants located in various states of the US as indicated in the database

5. Information about funding sources that supported the collection of the data:
This project was funded by the National Pork Board



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SHARING/ACCESS INFORMATION
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1. Licenses/restrictions placed on the data:
There are no restrictions on use of the data

2. Links to publications that cite or use the data:
Publication was submitted to the Journal of Animal Science and doi will be updated at publication

3. Links to other publicly accessible locations of the data:
University of Minnesota Extension website

4. Links/relationships to ancillary data sets:


5. Was data derived from another source?
           If yes, list source(s):


6. Recommended citation for the data:

Urriola, Pedro E; Kerr, Brian J; Jha, Rajesh; Shurson, Gerald C. (2017). Database of Nutrient Composition of Animal Protein Meals. Retrieved from the Data Repository for the University of Minnesota, https://doi.org/10.13020/D6759Q.



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DATA & FILE OVERVIEW
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1. File List
   A. Filename: animal-protein-survey       
      Short description: a excel file with 5 tabs. The first a cover sheet, then raw data on the database, then a pivot table for easy data analysis, and finally legends, and equations used on the calculation.
   
   B. Filename: Animal Proteins UMN Survey Web Updated February 2019
      Short description: an excel file with 7 tabs. These include the orignal five from "animal-protein survey," with two additional tabs for "Amino Acid Profile" and "SID of AA"          

2. Relationship between files:        

The survey file was updated by researchers to include additional about the animal protein by-products

3. Additional related data collected that was not included in the current data package:
N/A

4. Are there multiple versions of the dataset? yes/no
No


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METHODOLOGICAL INFORMATION
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1. Description of methods used for collection/generation of data: 
A manuscript is available at the Journal of Animal Science, https://doi.org/10.2527/jas.2016.1165.

2. Methods for processing the data: <describe how the submitted data were generated from the raw or collected data>

An industry survey and an animal experiment were conducted to evaluate compositional variability and DE and ME content of animal protein by-products, and to generate equations to predict DE and ME content based on chemical analysis. For the 220 samples collected, the greatest concentration of CP was observed in blood meal (BM) and least in meat and bone meal (MBM), the greatest concentration of ether extract (EE) was in meat meal and least in BM, with ash content greatest in MBM and least in BM; with Ca and P levels being 36.1 and 16.3% of the ash content, respectively. For the balance experiment, a corn-soybean meal basal diet was used with test diets formulated by mixing 80% of the basal diet with 20% of the animal protein by-product, except for BM which was included at 10 and 20% of the test diets. Ten groups of 24 gilts (final BW = 92.5 ± 7.4 kg) were used, with gilts randomly assigned to the test or the basal diet within each group, resulting in 16 replications per animal protein by-product or basal diet, except for BM determinations (20 replications). Gilts were placed in metabolism crates and offered 2.4 kg daily of their assigned diet for 13 d, with total collection of feces and urine during the last 4 d. Gross energy was determined in the diets, feces, and urine to calculate DE and ME content of each ingredient by the difference procedure, using DE and ME content of the basal diet as covariates among groups of pigs. The DE content of the animal protein by-products ranged from 5,367 to 2,567 kcal DE/kg of DM, and ME ranged from 4,783 to 2,340 kcal ME/kg DM. Using all animal protein by-products, the best fit equations were as follows: DE, kcal/kg DM = -2,468 + (1.26 × GE, kcal/kg DM), with R2 of 0.84, SE = 390, and P < 0.01; ME, kcal/kg DM = -2,331 + (1.15 × GE, kcal/kg DM), with R2 of 0.86, SE = 327, and P < 0.01). The apparent total tract digestibility (ATTD) of Ca and P were also determined using the difference procedure, with the average ATTD of Ca and P for the animal protein by-products, excluding BM and FM, being 27.1 and 39.1%, respectively. These data indicate that DE and ME varied substantially among the animal protein by-products and sources, and that a variety of nutritional components can be used to accurately predict DE and ME for finishing pigs. In addition, it appears that high dietary inclusion rates of animal protein by-products may result in low ATTD estimates of Ca and P, which may be due to excessive concentrations of total Ca and P affecting digestibility.


3. Instrument- or software-specific information needed to interpret the data:
None

4. Standards and calibration information, if appropriate:
None

5. Environmental/experimental conditions:
None

6. Describe any quality-assurance procedures performed on the data:


7. People involved with sample collection, processing, analysis and/or submission:


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DATA-SPECIFIC INFORMATION FOR: [FILENAME]
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<create sections for each dataset included>


1. Number of variables:
There are 13 variables

2. Number of cases/rows: 
There are 220 observations

3. Missing data codes:
There are no missing data or cells


4. Variable List
	Code	Description
	UMN	University of Minnesota sample identification number
	DM	Dry matter
	CP	Crude protein, Nitrogen x 6.25%, % DM
	Cfat	Crude fat, % DM
	Ash	Ash, % DM
	Ca	Calcium, % DM
	P	Phosphorus, % DM
	GE	Gross energy, kcal/kg DM
	Type	Type of animal protein meal
	State	US State where samples were provided, may not represent specific rendering plant
	DATE	Date on what samples were received at UMN, this may not represent processing day