Evidence map›Paper›PMID 38609445›Full record

ArticleScientific reports2024

Population structure and identification of genomic regions associated with productive traits in five Italian beef cattle breeds.

Daniele Colombi, Giacomo Rovelli, Maria Gracia Luigi-Sierra, Simone Ceccobelli, Dailu Guan, Francesco Perini, Fiorella Sbarra, Andrea Quaglia, Francesca Maria Sarti, Marina Pasquini and 2 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Scientific reports, 2024. 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 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed, 12 citations in OpenAlex.

  1. Better Multi-Breed Genomic Predictions for Tropical Bull Fertility Using a Breed-Adjusted Genomic Relationship Matrix.Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie · 2026
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  2. Review
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  4. Article
  5. Multi-Breed Genomic Predictions for Average Daily Gain in Three Italian Beef Cattle Breeds.Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie · 2026
    Article
  6. Article
  7. Article
  8. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 4 institutions in 3 countries.

Daniele ColombiDepartment of Agricultural, Food and Environmental Sciences (DSA3), University of Perugia, Borgo XX Giugno 74, 06121, Perugia, Italy.
Giacomo RovelliDepartment of Agricultural, Food and Environmental Sciences (DSA3), University of Perugia, Borgo XX Giugno 74, 06121, Perugia, Italy.
Maria Gracia Luigi-SierraCentre for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB, Campus Universitat Autonòma de Barcelona, Carrer de la Vall Moronta, 08193, Bellaterra de Cerdanyola del Vallés, Spain.
Simone CeccobelliDepartment of Agricultural, Food and Environmental Sciences (D3A), Università Politecnica delle Marche, 60131, Ancona, Italy.
Dailu GuanCentre for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB, Campus Universitat Autonòma de Barcelona, Carrer de la Vall Moronta, 08193, Bellaterra de Cerdanyola del Vallés, Spain.
Francesco PeriniDepartment of Agronomy, Food, Natural Resources, Animals and Environment, University of Padova, 35020, Legnaro, Italy.
Fiorella SbarraNational Association of Italian Beef-Cattle Breeders (ANABIC), 06132, San Martino in Colle, Perugia, Italy.
Andrea QuagliaNational Association of Italian Beef-Cattle Breeders (ANABIC), 06132, San Martino in Colle, Perugia, Italy.
Francesca Maria SartiDepartment of Agricultural, Food and Environmental Sciences (DSA3), University of Perugia, Borgo XX Giugno 74, 06121, Perugia, Italy.
Marina PasquiniDepartment of Agricultural, Food and Environmental Sciences (D3A), Università Politecnica delle Marche, 60131, Ancona, Italy.
Marcel Amills *Centre for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB, Campus Universitat Autonòma de Barcelona, Carrer de la Vall Moronta, 08193, Bellaterra de Cerdanyola del Vallés, Spain. marcel.amills@uab.cat.
Emiliano Lasagna *Department of Agricultural, Food and Environmental Sciences (DSA3), University of Perugia, Borgo XX Giugno 74, 06121, Perugia, Italy. emiliano.lasagna@unipg.it.
Universitat Autònoma de Barcelona · ESUniversity of Perugia · ITMarche Polytechnic University · ITUniversity of Padua · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Italy has a long history in beef production, with local breeds such as Marchigiana, Chianina, Romagnola, Maremmana, and Podolica which produce high-quality meat. Selection has improved meat production, precocity, growth ability and muscle development, but the genetic determinism of such traits is mostly unknown. Using 33K SNPs-data from young bulls (N = 4064) belonging to these five Italian breeds, we demonstrated that the Maremmana and Podolica rustic breeds are closely related, while the specialised Marchigiana, Chianina, and Romagnola breeds are more differentiated. A genome-wide association study for growth and muscle development traits (average daily gain during the performance test, weight at 1 year old, muscularity) was conducted in the five Italian breeds. Results indicated a region on chromosome 2, containing the myostatin gene (MSTN), which displayed significant genome-wide associations with muscularity in Marchigiana cattle, a breed in which the muscle hypertrophy phenotype is segregating. Moreover, a significant SNP on chromosome 14 was associated, in the Chianina breed, to muscularity. The identification of diverse genomic regions associated with conformation traits might increase our knowledge about the genomic basis of such traits in Italian beef cattle and, eventually, such information could be used to implement marker-assisted selection of young bulls tested in the performance test.

Indexed as

Genome-Wide Association StudyGenomicsAnimalsCattleChromosomes, Human, Pair 14HumansItalyMalePhenotype

Identifiers

PMID38609445
PMCPMC11014930
OpenAlexW4394753195

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.