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== Introduction == | == Introduction == | ||
The widespread use of genomic information in dairy cattle breeding programs has presented the opportunity to select for scares phenotypes of feed intake and feed efficiency. That means animals from research and commercial herds can serve as reference population to calibrate a genomic prediction equation. Genomic breeding values of selection candidates are then used to enhance genetic progress of feed intake and/or feed efficiency. Phenotypes for feed intake, however, are still an important limiting factor for obtaining high accurate breeding values and performing genetic analysis for feed intake and feed efficiency. Based on the experiences gained through several initiatives, we provide guidelines on the recording and | The widespread use of genomic information in dairy cattle breeding programs has presented the opportunity to select for scares phenotypes of feed intake and feed efficiency. That means animals from research and commercial herds can serve as reference population to calibrate a genomic prediction equation. Genomic breeding values of selection candidates are then used to enhance genetic progress of feed intake and/or feed efficiency. Phenotypes for feed intake, however, are still an important limiting factor for obtaining high accurate breeding values and performing genetic analysis for feed intake and feed efficiency. Based on the experiences gained through several initiatives, we provide guidelines on the recording and quality control of feed intake records for genomic and genetic evaluations. | ||
== Disclaimer == | == Disclaimer == | ||
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== Sub-sections == | == Sub-sections == | ||
* Setting up feed intake recording schemes | |||
* Recording intake indoors and at pasture | |||
* Phenotypes to support feed intake in feed efficiency evaluations | |||
* Utilizing existing feed intake data nationally and internationally | |||
* Quality control of feed intake data | |||
* | |||
== Acknowledgements == | == Acknowledgements == | ||
Revision as of 13:49, 12 December 2023
Guideline for Recording Feed Intake for Genetic Evaluation
Introduction
The widespread use of genomic information in dairy cattle breeding programs has presented the opportunity to select for scares phenotypes of feed intake and feed efficiency. That means animals from research and commercial herds can serve as reference population to calibrate a genomic prediction equation. Genomic breeding values of selection candidates are then used to enhance genetic progress of feed intake and/or feed efficiency. Phenotypes for feed intake, however, are still an important limiting factor for obtaining high accurate breeding values and performing genetic analysis for feed intake and feed efficiency. Based on the experiences gained through several initiatives, we provide guidelines on the recording and quality control of feed intake records for genomic and genetic evaluations.
Disclaimer
The fact that specific device manufacturers are mentioned in these guidelines is in no way an endorsement of the devices or their accuracy by ICAR.
Definitions and Terminology
Table 1. Definitions of Terms used in the guideline of recording feed intake for genetic evaluation
| Term | Definition |
|---|---|
| DM | Dry Matter |
| DMI | Dry Matter Intake |
| EID | Electronic identification device |
| FS | Feed Saved |
| PMR | Partial mixed ration |
| REML | Restricted maximum likelihood |
| RFI | Residual feed intake |
| TMR | Total mixed ration |
Scope
The scope here is to provide guidelines for of recording feed intake for genetic and genomic evaluations of feed intake and/or feed efficiency. Figure 1 illustrates the main elements of the guidelines and links for a detailed description can be found below.
Sub-sections
- Setting up feed intake recording schemes
- Recording intake indoors and at pasture
- Phenotypes to support feed intake in feed efficiency evaluations
- Utilizing existing feed intake data nationally and internationally
- Quality control of feed intake data
Acknowledgements
Authors of the document are, in alphabetical order:
Maria Frizzarin, Teagasc, Ireland
Birgit Gredler-Grandl, Wageningen Livestock Research, Netherlands
Jan Lassen, VikingGenetics & Aarhus University, Denmark
Rasmus Bak Stephansen, Aarhus University, Denmark
Karoline Bakke Wethal, Geno, Norway
