Evidence map›Paper›PMID 37684681›Full record

ArticleJournal of animal science and biotechnology2023

Comparison of methods for deriving phenotypes from incomplete observation data with an application to age at puberty in dairy cattle.

Melissa A Stephen, Chris R Burke, Jennie E Pryce, Nicole M Steele, Peter R Amer, Susanne Meier, Claire V C Phyn, Dorian J Garrick

Open access · goldAbstract read
In one paragraph

Article in Journal of animal science and biotechnology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 23% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

8 authors at 3 institutions in 2 countries.

Melissa A StephenDairyNZ Ltd, 605 Ruakura Road, Hamilton, 3240, New Zealand. melissa.stephen@dairynz.co.nz.ORCID http://orcid.org/0000-0002-1210-5139
Chris R BurkeDairyNZ Ltd, 605 Ruakura Road, Hamilton, 3240, New Zealand.
Jennie E PryceAgriculture Victoria Research, AgriBio, Centre for AgriBioscience, Bundoora, Victoria, 3083, Australia.
Nicole M SteeleDairyNZ Ltd, 605 Ruakura Road, Hamilton, 3240, New Zealand.
Peter R AmerAbacusBio, Dunedin, New Zealand.
Susanne MeierDairyNZ Ltd, 605 Ruakura Road, Hamilton, 3240, New Zealand.
Claire V C PhynDairyNZ Ltd, 605 Ruakura Road, Hamilton, 3240, New Zealand.
Dorian J GarrickAL Rae Centre for Genetics and Breeding - Massey University, Ruakura, Hamilton, 3214, New Zealand.
DairyNZ · NZLa Trobe University · AUMassey University · NZ

Funding

Ministry of Business, Innovation and Employment DRCX1302
6 · The paper itself

Abstract

backgroundMany phenotypes in animal breeding are derived from incomplete measures, especially if they are challenging or expensive to measure precisely. Examples include time-dependent traits such as reproductive status, or lifespan. Incomplete measures for these traits result in phenotypes that are subject to left-, interval- and right-censoring, where phenotypes are only known to fall below an upper bound, between a lower and upper bound, or above a lower bound respectively. Here we compare three methods for deriving phenotypes from incomplete data using age at first elevation (> 1 ng/mL) in blood plasma progesterone (AGEP4), which generally coincides with onset of puberty, as an example trait.

methodsWe produced AGEP4 phenotypes from three blood samples collected at about 30-day intervals from approximately 5,000 Holstein-Friesian or Holstein-Friesian × Jersey cross-bred dairy heifers managed in 54 seasonal-calving, pasture-based herds in New Zealand. We used these actual data to simulate 7 different visit scenarios, increasing the extent of censoring by disregarding data from one or two of the three visits. Three methods for deriving phenotypes from these data were explored: 1) ordinal categorical variables which were analysed using categorical threshold analysis; 2) continuous variables, with a penalty of 31 d assigned to right-censored phenotypes; and 3) continuous variables, sampled from within a lower and upper bound using a data augmentation approach.

resultsCredibility intervals for heritability estimations overlapped across all methods and visit scenarios, but estimated heritabilities tended to be higher when left censoring was reduced. For sires with at least 5 daughters, the correlations between estimated breeding values (EBVs) from our three-visit scenario and each reduced data scenario varied by method, ranging from 0.65 to 0.95. The estimated breed effects also varied by method, but breed differences were smaller as phenotype censoring increased.

conclusionOur results indicate that using some methods, phenotypes derived from one observation per offspring for a time-dependent trait such as AGEP4 may provide comparable sire rankings to three observations per offspring. This has implications for the design of large-scale phenotyping initiatives where animal breeders aim to estimate variance parameters and estimated breeding values (EBVs) for phenotypes that are challenging to measure or prohibitively expensive.

Indexed as

CattleGibbs samplerMarkov-chain Monte Carlo (MCMC)Puberty

Identifiers

PMID37684681
PMCPMC10492402
OpenAlexW4386531931

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.