Evidence map›Paper›PMID 36339740›Full record

ArticleJDS communications2022

Evaluation of updated Feed Saved breeding values developed in Australian Holstein dairy cattle.

S Bolormaa, I M MacLeod, M Khansefid, L C Marett, W J Wales, G J Nieuwhof, C F Baes, F S Schenkel, M E Goddard, J E Pryce

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in JDS communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.1field-weighted citation impact, top 21% of its field
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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 5 institutions in 3 countries.

S BolormaaAgriculture Victoria Research, Agribio, 5 Ring Road, Bundoora, VIC, 3083 Australia.
I M MacLeodAgriculture Victoria Research, Agribio, 5 Ring Road, Bundoora, VIC, 3083 Australia.
M KhansefidAgriculture Victoria Research, Agribio, 5 Ring Road, Bundoora, VIC, 3083 Australia.
L C MarettAgriculture Victoria Research, Ellinbank Centre, Ellinbank, Gippsland, VIC, 3821 Australia.
W J WalesAgriculture Victoria Research, Ellinbank Centre, Ellinbank, Gippsland, VIC, 3821 Australia.
G J NieuwhofAgriculture Victoria Research, Agribio, 5 Ring Road, Bundoora, VIC, 3083 Australia.
C F BaesCGIL, University of Guelph, Guelph, ON, N1G 2W1 Canada.
F S SchenkelCGIL, University of Guelph, Guelph, ON, N1G 2W1 Canada.
M E GoddardAgriculture Victoria Research, Agribio, 5 Ring Road, Bundoora, VIC, 3083 Australia.
J E PryceAgriculture Victoria Research, Agribio, 5 Ring Road, Bundoora, VIC, 3083 Australia.
Agriculture Victoria · AUThe University of Melbourne · AULa Trobe University · AUUniversity of Bern · CHUniversity of Guelph · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although selection for increased milk production traits has led to a genetic increase in body weight (BW), the genetic gain in milk production has exceeded the gain in BW, so gross feed efficiency has improved. Nonetheless, greater gains may be possible by directly selecting for a measure of feed efficiency. Australia first introduced Feed Saved (FS) estimated breeding value (EBV) in 2015. Feed Saved combines residual feed intake (RFI) genomic EBV and maintenance requirements calculated from mature BW EBV. The FS EBV was designed to enable the selection of cows for reduced energy requirements with similar milk production. In this study, we used a reference population of 3,711 animals in a multivariate analysis including Australian heifers (AUSh), Australian cows (AUSc), and overseas cows (OVEc) to update the Australian EBV for lifetime RFI (i.e., a breeding value that incorporated RFI in growing and lactating cows) and to recalculate the FS EBV in Australian Holstein bulls (AUSb). The estimates of genomic heritabilities using univariate (only AUSc or AUSh) to trivariate (including the OVEc) analyses were similar. Genomic heritabilities for RFI were estimated as 0.18 for AUSc, 0.27 for OVEc, and 0.36 for AUSh. The genomic correlation for RFI between AUSc and AUSh was 0.47 and that between AUSc and OVEc was 0.94, but these estimates were associated with large standard errors (range: 0.18-0.28). The reliability of lifetime RFI (a component of FS) in the trivariate analysis (i.e., including OVEc) increased from 11% to 20% compared with the 2015 model and was greater, by 12%, than in a bivariate analysis in which the reference population included only AUSc and AUSh. By applying the prediction equation of the 2020 model, the average reliability of the FS EBV in 20,816 AUSb that were born between 2010 and 2020 improved from 33% to 43%. Previous selection strategies-that is, using the predecessor of the Balanced Performance Index (Australian Profit Ranking index) that did not include FS-have resulted in an unfavorable genetic trend in FS. However, this unfavorable trend has stabilized since 2015, when FS was included in the Balanced Performance Index, and is expected to move in a favorable direction with selection on Balanced Performance Index or the Health Weighted Index. Doubling the reference population, particularly by incorporating international data for feed efficiency, has improved the reliability of the FS EBV. This could lead to increased genetic gain for feed efficiency in the Australian industry.

Identifiers

PMID36339740
PMCPMC9623723
OpenAlexW4205814472

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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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.