Evidence map›Paper›PMID 33920730›Full record

ArticleAnimals : an open access journal from MDPI2021

Effects of Incorporating Dry Matter Intake and Residual Feed Intake into a Selection Index for Dairy Cattle Using Deterministic Modeling.

Kerry Houlahan, Flavio S Schenkel, Dagnachew Hailemariam, Jan Lassen, Morten Kargo, John B Cole, Erin E Connor, Silvia Wegmann, Oliveira Junior, Filippo Miglior and 3 more

Abstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Implementation of Feed Efficiency in Iranian Holstein Breeding Program.Animals : an open access journal from MDPI · 2023
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Kerry HoulahanCentre for Genetic Improvement of Livestock, Department of Animal Biosciences, University of Guelph, Guelph, ON N1G 2W1, Canada.ORCID 0000-0003-4372-9937
Flavio S SchenkelCentre for Genetic Improvement of Livestock, Department of Animal Biosciences, University of Guelph, Guelph, ON N1G 2W1, Canada.ORCID 0000-0001-8700-0633
Dagnachew HailemariamDepartment of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB T6G 2P5, Canada.
Jan LassenViking Genetics, Ebeltoftvej 16, 8960 Assentoft, Denmark.
Morten KargoCenter for Quantitative Genetics and Genomics, Faculty of Science and Technology, Aarhus University, 8830 Tjele, Denmark.
John B ColeHenry A. Wallace Beltsville Research Centre, Animal Genomics and Improvement Laboratory, USDA Agricultural Research Service, Beltsville, MD 20705, USA.
Erin E ConnorDepartment of Animal and Food Sciences, University of Delaware, Newark, DE 19716, USA.ORCID 0000-0002-7846-7247
Silvia WegmannQualitas AG, 6300 Zug, Switzerland.ORCID 0000-0001-8309-9170
Oliveira JuniorCentre for Genetic Improvement of Livestock, Department of Animal Biosciences, University of Guelph, Guelph, ON N1G 2W1, Canada.ORCID 0000-0002-4228-2910
Filippo MigliorCentre for Genetic Improvement of Livestock, Department of Animal Biosciences, University of Guelph, Guelph, ON N1G 2W1, Canada.ORCID 0000-0003-2345-8842
Allison FlemingLactanet Canada, Guelph, ON N1K 1E5, Canada.ORCID 0000-0003-4706-7846
Tatiane C S ChudCentre for Genetic Improvement of Livestock, Department of Animal Biosciences, University of Guelph, Guelph, ON N1G 2W1, Canada.
Christine F BaesCentre for Genetic Improvement of Livestock, Department of Animal Biosciences, University of Guelph, Guelph, ON N1G 2W1, Canada.ORCID 0000-0001-6614-8890

Funding

Dairy Research Cluster 3 NAGenome Canada NA
6 · The paper itself

Abstract

The inclusion of feed efficiency in the breeding goal for dairy cattle has been discussed for many years. The effects of incorporating feed efficiency into a selection index were assessed by indirect selection (dry matter intake) and direct selection (residual feed intake) using deterministic modeling. Both traits were investigated in three ways: (1) restricting the trait genetic gain to zero, (2) applying negative selection pressure, and (3) applying positive selection pressure. Changes in response to selection from economic and genetic gain perspectives were used to evaluate the impact of including feed efficiency with direct or indirect selection in an index. Improving feed efficiency through direct selection on residual feed intake was the best scenario analyzed, with the highest overall economic response including favorable responses to selection for production and feed efficiency. Over time, the response to selection is cumulative, with the potential for animals to reduce consumption by 0.16 kg to 2.7 kg of dry matter per day while maintaining production. As the selection pressure increased on residual feed intake, the response to selection for production, health, and fertility traits and body condition score became increasingly less favorable. This work provides insight into the potential long-term effects of selecting for feed efficiency as residual feed intake.

Indexed as

dairy cattlefeed efficiencyresidual feed intakeselection index

Identifiers

PMID33920730
PMCPMC8072614

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.