Evidence map›Paper›PMID 25763010›Full record

ArticleFrontiers in genetics2015

Challenges and opportunities in genetic improvement of local livestock breeds.

Filippo Biscarini, Ezequiel L Nicolazzi, Alessandra Stella, Paul J Boettcher, Gustavo Gandini

Abstract read
In one paragraph

Article in Frontiers in genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers.

0numbers the graph read from it
0cells of the map it votes in
67citing 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

67 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
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  5. Article
  6. Mapping genomic adaptation to environmental heterogeneity in Indian native goat populations through landscape genomics.Mammalian genome : official journal of the International Mammalian Genome Society · 2026
    Article
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  18. Article
  19. Application of Genomic Selection in Beef Cattle Disease Prevention.Animals : an open access journal from MDPI · 2025
    Review
  20. Article

7 more citing papers are in PubMed but not listed here.

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

5 authors.

Filippo BiscariniParco Tecnologico Padano , Lodi, Italy.
Ezequiel L NicolazziParco Tecnologico Padano , Lodi, Italy.
Alessandra StellaParco Tecnologico Padano , Lodi, Italy ; Institute of Agricultural Biology and Biotechnology, National Research Council , Milan, Italy.
Paul J BoettcherAnimal Production and Health Division, Food and Agriculture Organization of the United Nations , Rome, Italy.
Gustavo GandiniDepartment of Veterinary Sciences and Public Health, University of Milan , Milan, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sufficient genetic variation in livestock populations is necessary both for adaptation to future changes in climate and consumer demand, and for continual genetic improvement of economically important traits. Unfortunately, the current trend is for reduced genetic variation, both within and across breeds. The latter occurs primarily through the loss of small, local breeds. Inferior production is a key driver for loss of small breeds, as they are replaced by high-output international transboundary breeds. Selection to improve productivity of small local breeds is therefore critical for their long term survival. The objective of this paper is to review the technology options available for the genetic improvement of small local breeds and discuss their feasibility. Most technologies have been developed for the high-input breeds and consequently are more favorably applied in that context. Nevertheless, their application in local breeds is not precluded and can yield significant benefits, especially when multiple technologies are applied in close collaboration with farmers and breeders. Breeding strategies that require cooperation and centralized decision-making, such as optimal contribution selection, may in fact be more easily implemented in small breeds.

Indexed as

genetic diversitygenomicslocal breedsphenotypingselection

Identifiers

PMID25763010
PMCPMC4340267

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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.