Enhanced comment feature has been enabled for all readers including those not logged in. Click on the Discussion tab (top left) to add or reply to discussions.

Data Collection: Difference between revisions

From BIF Guidelines Wiki
No edit summary
No edit summary
Line 1: Line 1:
=Data Collection for Seedstock Producers=
=Data Collection for Seedstock Producers=
==ID systems==
==ID Systems==
===Herd IDs===
===Herd IDs===
===Tattoos===
===Tattoos===
Line 12: Line 12:
===Timeline===
===Timeline===
===Disposal and Reason Codes===
===Disposal and Reason Codes===
Data collection by sex/age (trait lists for each)
==Contemporary Groups==
Contemporary groups by trait
===Basics===
Data on
===Type of Birth===
Multiple births/twins/freemartins
====Multiple Births and Freemartins====
ETs
====ET Calves====
Calves(through yearling/slaughter)
===Components by Trait===
Survival from birth to weaning data
==Data Collection on Calves==
Disposal
===Survival to Weaning===
Disease
====Disposal====
CE scores
====Disease====
Weights-BW (hoof tapes), WW, YW
===Weights===
Hip height/frame?
====BW====
Docility
=====Hoof Tapes?=====
Ultrasound (link to UGC website)
====WW====
Yearling bulls (breeding)
====YW====
BSE-scrotal
===CE Scores===
Ultrasound
===Hip Height/Frame===
Heifers (1-2 yo)
====Discuss whether to include====
Repro tract scores
===Docility===
Pelvic measurements
===Ultrasound (link to UGC website)===
Exposure for HP EPDs
==Data Collection on Yearling Bulls==
Preg data
===Breeding Soundness Exam===
CE scores on calves
===Scrotal Circumference===
Cows (breeding)
==Data Collection on Yearling Heifers==
Mature weight/height
===Pelvic Measurements===
Gestation length
===Reproductive Tract Scores===
Calving interval
===Exposure Data===
Udder scores
===Pregnancy Data===
Foot/leg
===CE Scores on Calves===
BCS
==Data Collection on Mature Cows==
Intake
===Calf Record/Reason Code (for Stayability)===
Stay
===Exposure and Pregnancy Data===
Preg data
===Gestation Length===
Genomic data
===Calving Interval===
Commercial (in addition to seedstock data)
===Mature Height and Weight===
May not collect individual data
===Body Condition Score===
SPA data-ish
===Teat and Udder Scores===
Percentages
===Foot and Leg Scores===
Overall cowherd performance
===Intake===
Herd, sire and cow reproductive efficiency
==Genomic Data (link to Data Prep section)==
MPPA
===Parentage===
Calving distribution
===Genetic Evaluation===
Feedlot
=Data Collection for Commercial Producers=
Intake/feed efficiency
==See Seedstock Data Collection (link)==
Health
==Herd Measurements==
ADG
===Calving Distribution===
Packers
==Bull Measurements==
Carcass traits (link to good explanation of YG and QG)
==Cow Measurements==
Data that are necessary-dates, sex, at least a sire, breed comp
===MPPA===
WBSF? (link?)
=Data Collection at Feedlots=
Have to work with producers
==Average Daily Gain==
Herd management records (in Data Prep section)
==Intake and Feed Efficiency==
Software
==Health Traits==
=Data Collection at Packers=
==Carcass Traits==
===Cooperation Between Packer and Producer===
===Required Data for Genetic Evaluation===
===Hot Carcass Weight===
===Ribeye Area===
===Marbling Score===
===Fat Thickness===
===Other Traits (e.g. KPH)===
===Warner-Bratzler Shear Force (link)===
===Quality Grade and Yield Grade (link)===
=Herd Management Software (link to Data Prep section)=
 


At the core of genetic improvement is the collection of data.  While [https://en.wikipedia.org/wiki/Data_quality data quality] is critical, quantity of data collected can sometimes overcome the limitations on data quality that inherently occur in farm and ranch operations.  Along with weights and scores for economically relevant traits and their indicator traits, accurate identification of animals, parents, [[contemporary groups]], and other important details (e.g., age) are essential.  
At the core of genetic improvement is the collection of data.  While [https://en.wikipedia.org/wiki/Data_quality data quality] is critical, quantity of data collected can sometimes overcome the limitations on data quality that inherently occur in farm and ranch operations.  Along with weights and scores for economically relevant traits and their indicator traits, accurate identification of animals, parents, [[contemporary groups]], and other important details (e.g., age) are essential.  
Line 70: Line 83:
At the core of genetic improvement is the collection of high quality data. Data quality can be impacted by [https://smartbridge.com/data-done-right-6-dimensions-of-data-quality-part-1/ several clearly identified factors].  While completeness, timeliness, accuracy, and conformity are all essential, consistency is often the least understood and most overlooked consideration for quality data.  Collecting, recording, manipulating and processing data using consistent procedures at both the farm and association levels is the most important aspect to maintaining quality data.   
At the core of genetic improvement is the collection of high quality data. Data quality can be impacted by [https://smartbridge.com/data-done-right-6-dimensions-of-data-quality-part-1/ several clearly identified factors].  While completeness, timeliness, accuracy, and conformity are all essential, consistency is often the least understood and most overlooked consideration for quality data.  Collecting, recording, manipulating and processing data using consistent procedures at both the farm and association levels is the most important aspect to maintaining quality data.   


=[[Beef cattle identification system]]=
In order to keep all data collected associated with an individual animal an effective [[beef cattle identification system]] is essential.  [[beef cattle identification system | Standards have been developed]] for identification methods that ensure unique and accurate identification of animals during the transmission and processing of data.  Because the number of animals processed in [[National Cattle Evaluations programs (NCE)]] is routinely in the millions, it is not practical to routinely use registration number information for on-farm data collection. [[Standards for ear tagging]] and on-farm electronic identification have also been implemented.  In addition, recording of animal identification is closely associated with the collection of [[Genomic Information | genomic information.]]
In order to keep all data collected associated with an individual animal an effective [[beef cattle identification system]] is essential.  [[beef cattle identification system | Standards have been developed]] for identification methods that ensure unique and accurate identification of animals during the transmission and processing of data.  Because the number of animals processed in [[National Cattle Evaluations programs (NCE)]] is routinely in the millions, it is not practical to routinely use registration number information for on-farm data collection. [[Standards for ear tagging]] and on-farm electronic identification have also been implemented.  In addition, recording of animal identification is closely associated with the collection of [[Genomic Information | genomic information.]]


=[[Whole Herd Reporting]]=
Historically, many beef breed genetic evaluations were based on progeny weaned and/or registered and did not require that data be recorded from females that failed to reproduce or whose progeny were not registered.  By contrast, inventory based [[Whole Herd Reporting]] (WHR) requires collection of annual production and performance records on all cattle within a herd.
Historically, many beef breed genetic evaluations were based on progeny weaned and/or registered and did not require that data be recorded from females that failed to reproduce or whose progeny were not registered.  By contrast, inventory based [[Whole Herd Reporting]] (WHR) requires collection of annual production and performance records on all cattle within a herd.




==[[Female Production Data | Data to be recorded on individual cows]]==
[[Female Production Data | Data recording on individual cows]] is essential for the prediction of female fertility. Cow fertility is often the most impactful factor on profitability in the beef herd. Additionally, accurate and complete cow data are essential for prediction of traits with a maternal influence (e.g. weaning weight).
[[Female Production Data | Data recording on individual cows]] is essential for the prediction of female fertility. Cow fertility is often the most impactful factor on profitability in the beef herd. Additionally, accurate and complete cow data are essential for prediction of traits with a maternal influence (e.g. weaning weight).


The [[Female Production Data]] to be recorded on each cow must be standardized because it is often the most complex data that a producer deals with.
The [[Female Production Data]] to be recorded on each cow must be standardized because it is often the most complex data that a producer deals with.


==[[Animal Performance Data]]==
Data collection of complete and accurate data on individual calf performance through slaughter or breeding is critical to making genetic improvement.  Using consistent methods for taking [[Animal Performance Data | animals' weights, measures, and scores]] is key to accurate data.  Additionally, using a commercial or breed association supplied [[Performance Recording Software | performance recording software]] helps to improve consistency of data collection and reporting.
Data collection of complete and accurate data on individual calf performance through slaughter or breeding is critical to making genetic improvement.  Using consistent methods for taking [[Animal Performance Data | animals' weights, measures, and scores]] is key to accurate data.  Additionally, using a commercial or breed association supplied [[Performance Recording Software | performance recording software]] helps to improve consistency of data collection and reporting.

Revision as of 16:15, 26 November 2018

Data Collection for Seedstock Producers

ID Systems

Herd IDs

Tattoos

Breed Association Registration Numbers

International Registration Numbers

Breed Codes

ICAR
NAAB

Whole Herd Reporting

Basics

Timeline

Disposal and Reason Codes

Contemporary Groups

Basics

Type of Birth

Multiple Births and Freemartins

ET Calves

Components by Trait

Data Collection on Calves

Survival to Weaning

Disposal

Disease

Weights

BW

Hoof Tapes?

WW

YW

CE Scores

Hip Height/Frame

Discuss whether to include

Docility

Ultrasound (link to UGC website)

Data Collection on Yearling Bulls

Breeding Soundness Exam

Scrotal Circumference

Data Collection on Yearling Heifers

Pelvic Measurements

Reproductive Tract Scores

Exposure Data

Pregnancy Data

CE Scores on Calves

Data Collection on Mature Cows

Calf Record/Reason Code (for Stayability)

Exposure and Pregnancy Data

Gestation Length

Calving Interval

Mature Height and Weight

Body Condition Score

Teat and Udder Scores

Foot and Leg Scores

Intake

Genomic Data (link to Data Prep section)

Parentage

Genetic Evaluation

Data Collection for Commercial Producers

See Seedstock Data Collection (link)

Herd Measurements

Calving Distribution

Bull Measurements

Cow Measurements

MPPA

Data Collection at Feedlots

Average Daily Gain

Intake and Feed Efficiency

Health Traits

Data Collection at Packers

Carcass Traits

Cooperation Between Packer and Producer

Required Data for Genetic Evaluation

Hot Carcass Weight

Ribeye Area

Marbling Score

Fat Thickness

Other Traits (e.g. KPH)

Warner-Bratzler Shear Force (link)

Quality Grade and Yield Grade (link)

Herd Management Software (link to Data Prep section)

At the core of genetic improvement is the collection of data. While data quality is critical, quantity of data collected can sometimes overcome the limitations on data quality that inherently occur in farm and ranch operations. Along with weights and scores for economically relevant traits and their indicator traits, accurate identification of animals, parents, contemporary groups, and other important details (e.g., age) are essential.

At the core of genetic improvement is the collection of high quality data. Data quality can be impacted by several clearly identified factors. While completeness, timeliness, accuracy, and conformity are all essential, consistency is often the least understood and most overlooked consideration for quality data. Collecting, recording, manipulating and processing data using consistent procedures at both the farm and association levels is the most important aspect to maintaining quality data.

In order to keep all data collected associated with an individual animal an effective beef cattle identification system is essential. Standards have been developed for identification methods that ensure unique and accurate identification of animals during the transmission and processing of data. Because the number of animals processed in National Cattle Evaluations programs (NCE) is routinely in the millions, it is not practical to routinely use registration number information for on-farm data collection. Standards for ear tagging and on-farm electronic identification have also been implemented. In addition, recording of animal identification is closely associated with the collection of genomic information.

Historically, many beef breed genetic evaluations were based on progeny weaned and/or registered and did not require that data be recorded from females that failed to reproduce or whose progeny were not registered.  By contrast, inventory based Whole Herd Reporting (WHR) requires collection of annual production and performance records on all cattle within a herd.


Data recording on individual cows is essential for the prediction of female fertility. Cow fertility is often the most impactful factor on profitability in the beef herd. Additionally, accurate and complete cow data are essential for prediction of traits with a maternal influence (e.g. weaning weight).

The Female Production Data to be recorded on each cow must be standardized because it is often the most complex data that a producer deals with.

Data collection of complete and accurate data on individual calf performance through slaughter or breeding is critical to making genetic improvement. Using consistent methods for taking animals' weights, measures, and scores is key to accurate data. Additionally, using a commercial or breed association supplied performance recording software helps to improve consistency of data collection and reporting.