Evidence map›Paper›PMID 36881993›Full record

ArticleJournal of animal science2023

Genetic and phenotypic relationships between ewe reproductive performance and wool and growth traits in Uruguayan Ultrafine Merino sheep.

Zully Ramos, Dorian J Garrick, Hugh T Blair, Ignacio De Barbieri, Gabriel Ciappesoni, Fabio Montossi, Paul R Kenyon

Open access · hybridAbstract read
In one paragraph

Article in Journal of animal science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
6.6field-weighted citation impact, top 3% 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

9 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Review
  3. Genetic Trends for Production and Reproduction Traits in Ultrafine Merino Sheep of Uruguay.Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie · 2025
    Article
  4. Article
  5. Article
  6. OvineArchives animal breeding · 2025
    Article
  7. Article
  8. Article
  9. 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

7 authors at 2 institutions in 2 countries.

Zully RamosSchool of Agriculture and Environment, Massey University, Palmerston North 4410, New Zealand.
Dorian J GarrickSchool of Agriculture and Environment, Massey University, Palmerston North 4410, New Zealand.
Hugh T BlairSchool of Agriculture and Environment, Massey University, Palmerston North 4410, New Zealand.
Ignacio De BarbieriEstación Experimental INIA Tacuarembó, Instituto Nacional de Investigación Agropecuaria, Tacuarembó 45000, Uruguay.
Gabriel CiappesoniEstación Experimental INIA Las Brujas, Instituto Nacional de Investigación Agropecuaria, Canelones 90100, Uruguay.
Fabio MontossiEstación Experimental INIA Tacuarembó, Instituto Nacional de Investigación Agropecuaria, Tacuarembó 45000, Uruguay.
Paul R KenyonSchool of Agriculture and Environment, Massey University, Palmerston North 4410, New Zealand.
Massey University · NZInstituto Nacional de Investigación Agropecuaria · UY

Funding

European Union's Horizon 2020 772787Massey University, New ZealandNational Agency for Investigation and Innovation of UruguayNational Institute of Agricultural Research of Uruguay INIA_CL_38: Rumiar
6 · The paper itself

Abstract

This study reports genetic parameters for yearling and adult wool and growth traits, and ewe reproductive performance. Data were sourced from an Uruguayan Merino flock involved in a long-term selection program focused on reduced fiber diameter (FD), and increased clean fleece weight (CFW) and live weight (LW). Pedigree and performance data from approximately 5,700 mixed-sex yearling lambs and 2,000 mixed-age ewes born between 1999 and 2019 were analyzed. The number of records ranged from 1,267 to 5,738 for yearling traits, and from 1,931 to 7,079 for ewe productive and reproductive performance. Data on yearling and adult wool traits, LW and body condition score (BCS), yearling eye muscle area (Y_EMA), and fat thickness (Y_FAT), and several reproduction traits were analyzed. The genetic relationships between FD and reproduction traits were not different from zero. Moderate unfavorable genetic correlations were found between adult CFW and ewe lifetime reproduction traits (-0.34 ± 0.08 and -0.33 ± 0.09 for the total number of lambs weaned and total lamb LW at weaning, respectively). There were moderate to strong positive genetic correlations between yearling LW and all reproduction traits other than ewe-rearing ability (-0.08 ± 0.11) and pregnancy rate (0.18 ± 0.08). The genetic correlations between Y_EMA and reproduction traits were positive and ranged from 0.15 to 0.49. Moderate unfavorable genetic correlations were observed between yearling FD and Y_FAT and between adult FD and BCS at mating (0.31 ± 0.12 and 0.23 ± 0.07, respectively). The genetic correlations between adult fleece weight and ewe BCS at different stages of the cycle were negative, but generally not different from zero. This study shows that selection for reduced FD is unlikely to have any effect on reproduction traits. Selection for increased yearling LW and Y_EMA will improve ewe reproductive performance. On the other hand, selection for increased adult CFW will reduce ewe reproductive performance, whereas selection for reduced FD will negatively impact body fat levels. Although unfavorable genetic relationships between wool traits and both FAT and ewe reproductive performance existed, simultaneous improvements in the traits would occur using appropriately designed indexes.

Indexed as

ReproductionWoolAdipose TissueAnimalsFemalePhenotypePregnancySheepSheep, DomesticWeight Gainbody condition scorecorrelationsheritabilityMerinoreproductionwool

Identifiers

PMID36881993
PMCPMC10103065
OpenAlexW4323353461

What OpenQuestion holds

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LicenceCC BY-NC
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.