ArticleFrontiers in genetics2015
Utilization of farm animal genetic resources in a changing agro-ecological environment in the Nordic countries.
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 19 papers.
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.
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.
Who cites it
19 citing papers in PubMed, 57 citations in OpenAlex.
- Genetic Diversity and Candidate Selection Signatures in Hungarian and Romanian Carpathian Water Buffalo Inferred from Cross-Species SNP-Array Genotyping.Animals : an open access journal from MDPI · 2026Article
- Optimising the Use of Cryopreserved Genetic Resources for the Selection and Conservation of Animal Populations.Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie · 2026Article
- Adaptability of Polish Red cows to extensive conditions.BMC veterinary research · 2025Article
- Unveiling the genetic structure of pig population in a Himalayan state Uttarakhand through microsatellite and mitochondrial DNA analyses.Tropical animal health and production · 2024Article
- Discriminant Analysis Approach in Morphometric Differentiation and Characterization of Serbian Autochthonous Goats.Animals : an open access journal from MDPI · 2023Article
- Inbreeding and pedigree analysis of the European red dairy cattle.Genetics, selection, evolution : GSE · 2022Article
- Article
- Genetic characterization and population structure of different coat colour variants of Badri cattle.Molecular biology reports · 2020Article
- Genomic selection strategies for breeding adaptation and production in dairy cattle under climate change.Heredity · 2019Article
- Genomic analyses suggest adaptive differentiation of northern European native cattle breeds.Evolutionary applications · 2019Article
- Whole blood transcriptome analysis reveals footprints of cattle adaptation to sub-arctic conditions.Animal genetics · 2019Article
- Cardiac and Skeletal Muscle Transcriptome Response to Heat Stress in Kenyan Chicken Ecotypes Adapted to Low and High Altitudes Reveal Differences in Thermal Tolerance and Stress Response.Frontiers in genetics · 2019Article
- Key Genetic Parameters for Population Management.Frontiers in genetics · 2019Article
- Genomic Characterisation of the Indigenous Irish Kerry Cattle Breed.Frontiers in genetics · 2018Article
- Whole-Genome Sequencing of Three Native Cattle Breeds Originating From the Northernmost Cattle Farming Regions.Frontiers in genetics · 2018Article
- Helitrons and Retrotransposons Are Co-localized inCurrent genomics · 2017Article
- Genomic Comparison of Indigenous African and Northern European Chickens Reveals Putative Mechanisms of Stress Tolerance Related to Environmental Selection Pressure.G3 (Bethesda, Md.) · 2017Article
- Is Continued Genetic Improvement of Livestock Sustainable?Genetics · 2016Article
- Editorial: Advances in Farm Animal Genomic Resources.Frontiers in genetics · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Livestock production is the most important component of northern European agriculture and contributes to and will be affected by climate change. Nevertheless, the role of farm animal genetic resources in the adaptation to new agro-ecological conditions and mitigation of animal production's effects on climate change has been inadequately discussed despite there being several important associations between animal genetic resources and climate change issues. The sustainability of animal production systems and future food security require access to a wide diversity of animal genetic resources. There are several genetic questions that should be considered in strategies promoting adaptation to climate change and mitigation of environmental effects of livestock production. For example, it may become important to choose among breeds and even among farm animal species according to their suitability to a future with altered production systems. Some animals with useful phenotypes and genotypes may be more useful than others in the changing environment. Robust animal breeds with the potential to adapt to new agro-ecological conditions and tolerate new diseases will be needed. The key issue in mitigation of harmful greenhouse gas effects induced by livestock production is the reduction of methane (CH4) emissions from ruminants. There are differences in CH4 emissions among breeds and among individual animals within breeds that suggest a potential for improvement in the trait through genetic selection. Characterization of breeds and individuals with modern genomic tools should be applied to identify breeds that have genetically adapted to marginal conditions and to get critical information for breeding and conservation programs for farm animal genetic resources. We conclude that phenotyping and genomic technologies and adoption of new breeding approaches, such as genomic selection introgression, will promote breeding for useful characters in livestock species.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.