This README.txt file was generated on <20241104> by <Arthur Siller>


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GENERAL INFORMATION
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1. Interseeding cereal rye and triticale into cool-season perennial pastures - data

#
# Authors: Include contact information for at least the 
# first author and corresponding author (if not the same), 
# specifically email address, phone number, and institution. 
# Contact information for all authors is preferred.
#

2. Author Information
<create a new entry for each additional author>

  First Author Contact Information
        Name: Arthur Siller
           Institution: University of Massachusetts Amherst, Extension
           Address: 103C French Hall, 230 Stockbridge Rd. Amherst MA 01003
           Email: asiller@umass.edu


  Corresponding Author Contact Information
        Name: Arthur Siller
           Institution: University of Massachusetts Amherst, Extension
           Address: 103C French Hall, 230 Stockbridge Rd. Amherst MA 01003
           Email: asiller@umass.edu


  Author Contact Information (if applicable)
           Name: Masoud Hashemi
           Institution: University of Massachusetts Amherst, Stockbridge School of Agriculture
           Address: 201 Natural Resources Rd. Amherst MA 01003
           Email: masoud@umass.edu

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DATA & FILE OVERVIEW
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#
# Directory of Files in Dataset: List and define the different 
# files included in the dataset. This serves as its table of 
# contents. 
#

Directory of Files
   A. Filename: Interseeding rye and triticale in pasture data.xlsx        
      Short description: Herbage accumulation and nutritive value data from interseeded rye and triticale in pastures at the UMass Research Farm between 2020 and 2022.       

#
# File Naming Convention: Define your File Naming Convention 
# (FNC), the framework used for naming your files systematically 
# to describe what they contain, which could be combined with the
# Directory of Files. 
#

File Naming Convention (if not included above):

#
# Data Description: A data description, dictionary, or codebook
# defines the variables and abbreviations used in a dataset. This
# information can be included in the README file, in a separate 
# file, or as part of the data file. If it is in a separate file
# or in the data file, explain where this information is located
# and ensure that it is accessible without specialized software.
# (We recommend using plain text files or tabular plain text CSV
# files exported from spreadsheet software.) 
#

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DATA DESCRIPTION FOR: [FILENAME]
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<create sections for each dataset included>


1. Number of variables: 27


2. Number of cases/rows: 56


3. Missing data codes: no missing data
        Code/symbol        Definition
        Code/symbol        Definition


4. Variable List

    Example. Name: Gender 
             Description: Gender of respondent
                    1 = Male
                    2 = Female
                    3 = Other                

    A. Name: id
       Description: data line number


    B. Name: year
       Description: harvest year

    C. Name: year_rep
       Description: combined year and rep variables

    D. Name: rep
       Description: experimental blocking number

    E. Name: s_rate
       Description: interseeding rate (kg/ha)

    F. Name: n
       Description: nitrogen rate (kg/ha)

    G. Name: stems
       Description: small grains stems (stems/square meter)

    H. Name: yield
       Description: herbage accumulation (kg/ha)

    I. Name: protein
       Description: crude protein (percent of dry matter)

    J. Name: adf
       Description: acid detergent fiber (percent of dry matter)

    K. Name: ndf
       Description: neutral detergent fiber (percent of dry matter)

    L. Name: dndf48
       Description: neutral detergent fiber digestibility (percent of fiber)

    M. Name: ash
       Description: ash (percent of dry matter)

    N. Name: ca
       Description: calcium (percent of dry matter)

    O. Name: p
       Description: phosphorus (percent of dry matter)

    P. Name: k
       Description: potassium (percent of dry matter)

    Q. Name: mg
       Description: magnesium (percent of dry matter)

    R. Name: lignin
       Description: lignin (percent of dry matter)

    S. Name: fat
       Description: fatty acids (percent of dry matter)

    T. Name: nfc
       Description: non-fibrous carbohydates (percent of dry matter)

    U. Name: dmi
       Description: dry matter intake (g/kg cattle body weight/day)

    V. Name: tdn
       Description: total digestible nutrients (percent of dry matter)

    W. Name: rfq
       Description: relative forage quality

    X. Name: ddm
       Description: digestible dry matter (percent of dry matter)

    Y. Name: rfv
       Description: relative feed value

    Z. Name: milkt
       Description: milk value (kg milk/Mg forage)

    AA. Name: milkha
       Description: milk yield (kg milk/ha)

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METHODOLOGICAL INFORMATION
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#
# Software: If specialized software(s) generated your data or
# are necessary to interpret it, please provide for each (if
# applicable): software name, version, system requirements,
# and developer.
#

1. Software-specific information: N/A

#
# Equipment: If specialized equipment generated your data,
# please provide for each (if applicable): equipment name,
# manufacturer, model, and calibration information. Be sure
# to include specialized file format information in the data
# dictionary.
#

2. Equipment-specific information: N/A

#
# Dates of Data Collection: List the dates and/or times of
# data collection.
#

3. Date of data collection (single date, range, approximate date) <suggested format YYYYMMDD>:
20200923 to 20220506