Example of Journal of Animal Breeding and Genetics format
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Example of Journal of Animal Breeding and Genetics format Example of Journal of Animal Breeding and Genetics format Example of Journal of Animal Breeding and Genetics format Example of Journal of Animal Breeding and Genetics format Example of Journal of Animal Breeding and Genetics format Example of Journal of Animal Breeding and Genetics format Example of Journal of Animal Breeding and Genetics format Example of Journal of Animal Breeding and Genetics format Example of Journal of Animal Breeding and Genetics format Example of Journal of Animal Breeding and Genetics format Example of Journal of Animal Breeding and Genetics format Example of Journal of Animal Breeding and Genetics format Example of Journal of Animal Breeding and Genetics format Example of Journal of Animal Breeding and Genetics format Example of Journal of Animal Breeding and Genetics format Example of Journal of Animal Breeding and Genetics format Example of Journal of Animal Breeding and Genetics format Example of Journal of Animal Breeding and Genetics format Example of Journal of Animal Breeding and Genetics format Example of Journal of Animal Breeding and Genetics format Example of Journal of Animal Breeding and Genetics format
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Example of Journal of Animal Breeding and Genetics format Example of Journal of Animal Breeding and Genetics format Example of Journal of Animal Breeding and Genetics format Example of Journal of Animal Breeding and Genetics format Example of Journal of Animal Breeding and Genetics format Example of Journal of Animal Breeding and Genetics format Example of Journal of Animal Breeding and Genetics format Example of Journal of Animal Breeding and Genetics format Example of Journal of Animal Breeding and Genetics format Example of Journal of Animal Breeding and Genetics format Example of Journal of Animal Breeding and Genetics format Example of Journal of Animal Breeding and Genetics format Example of Journal of Animal Breeding and Genetics format Example of Journal of Animal Breeding and Genetics format Example of Journal of Animal Breeding and Genetics format Example of Journal of Animal Breeding and Genetics format Example of Journal of Animal Breeding and Genetics format Example of Journal of Animal Breeding and Genetics format Example of Journal of Animal Breeding and Genetics format Example of Journal of Animal Breeding and Genetics format Example of Journal of Animal Breeding and Genetics format
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open access Open Access

Journal of Animal Breeding and Genetics — Template for authors

Publisher: Wiley
Categories Rank Trend in last 3 yrs
Animal Science and Zoology #74 of 416 down down by 17 ranks
Food Animals #10 of 32 down down by 5 ranks
journal-quality-icon Journal quality:
High
calendar-icon Last 4 years overview: 201 Published Papers | 729 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 12/06/2020
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Related Journals

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open access Open Access

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High
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Journal Performance & Insights

Impact Factor

CiteRatio

Determines the importance of a journal by taking a measure of frequency with which the average article in a journal has been cited in a particular year.

A measure of average citations received per peer-reviewed paper published in the journal.

1.822

12% from 2018

Impact factor for Journal of Animal Breeding and Genetics from 2016 - 2019
Year Value
2019 1.822
2018 1.633
2017 1.941
2016 1.877
graph view Graph view
table view Table view

3.6

13% from 2019

CiteRatio for Journal of Animal Breeding and Genetics from 2016 - 2020
Year Value
2020 3.6
2019 3.2
2018 3.1
2017 3.3
2016 3.3
graph view Graph view
table view Table view

insights Insights

  • Impact factor of this journal has increased by 12% in last year.
  • This journal’s impact factor is in the top 10 percentile category.

insights Insights

  • CiteRatio of this journal has increased by 13% in last years.
  • This journal’s CiteRatio is in the top 10 percentile category.

SCImago Journal Rank (SJR)

Source Normalized Impact per Paper (SNIP)

Measures weighted citations received by the journal. Citation weighting depends on the categories and prestige of the citing journal.

Measures actual citations received relative to citations expected for the journal's category.

0.689

11% from 2019

SJR for Journal of Animal Breeding and Genetics from 2016 - 2020
Year Value
2020 0.689
2019 0.777
2018 0.693
2017 0.804
2016 0.935
graph view Graph view
table view Table view

1.094

6% from 2019

SNIP for Journal of Animal Breeding and Genetics from 2016 - 2020
Year Value
2020 1.094
2019 1.168
2018 1.04
2017 1.133
2016 1.032
graph view Graph view
table view Table view

insights Insights

  • SJR of this journal has decreased by 11% in last years.
  • This journal’s SJR is in the top 10 percentile category.

insights Insights

  • SNIP of this journal has decreased by 6% in last years.
  • This journal’s SNIP is in the top 10 percentile category.

Journal of Animal Breeding and Genetics

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Wiley

Journal of Animal Breeding and Genetics

The journal publishes original articles by international scientists on topics related to genetic variation, breeding programmes, selection, quantitative genetics, genomics, genomic selection, diversity and evolution of domestic animals. Researchers, teachers, and the animal br...... Read More

Animal Science and Zoology

Food Animals

General Medicine

Agricultural and Biological Sciences

i
Last updated on
12 Jun 2020
i
ISSN
1439-0388
i
Impact Factor
High - 1.877
i
Acceptance Rate
Not provided
i
Frequency
Not provided
i
Open Access
Yes
i
Sherpa RoMEO Archiving Policy
Yellow faq
i
Plagiarism Check
Available via Turnitin
i
Endnote Style
Download Available
i
Bibliography Name
apa
i
Citation Type
Numbered
[25]
i
Bibliography Example
Beenakker, C.W.J. (2006) Specular andreev reflection in graphene.Phys. Rev. Lett., 97 (6), 067 007. URL 10.1103/PhysRevLett.97.067007.

Top papers written in this journal

Journal Article DOI: 10.1111/J.1439-0388.2006.00595.X
Strategy for applying genome-wide selection in dairy cattle.
L.R. Schaeffer1

Abstract:

Animals can be genotyped for thousands of single nucleotide polymorphisms (SNPs) at one time, where the SNPs are located at roughly 1-cM intervals throughout the genome. For each contiguous pair of SNPs there are four possible haplotypes that could be inherited from the sire. The effects of each interval on a trait can be est... Animals can be genotyped for thousands of single nucleotide polymorphisms (SNPs) at one time, where the SNPs are located at roughly 1-cM intervals throughout the genome. For each contiguous pair of SNPs there are four possible haplotypes that could be inherited from the sire. The effects of each interval on a trait can be estimated for all intervals simultaneously in a model where interval effects are random factors. Given the estimated effects of each haplotype for every interval in the genome, and given an animal's genotype, a 'genomic' estimated breeding value is obtained by summing the estimated effects for that genotype. The accuracy of that estimator of breeding values is around 80%. Because the genomic estimated breeding values can be calculated at birth, and because it has a high accuracy, a strategy that utilizes these advantages was compared with a traditional progeny testing strategy under a typical Canadian-like dairy cattle situation. Costs of proving bulls were reduced by 92% and genetic change was increased by a factor of 2. Genome-wide selection may become a popular tool for genetic improvement in livestock. read more read less

Topics:

Progeny testing (58%)58% related to the paper, Selection (genetic algorithm) (50%)50% related to the paper
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785 Citations
open accessOpen access Journal Article DOI: 10.1111/J.1439-0388.2005.00512.X
A note on ENDOG: a computer program for analysing pedigree information

Abstract:

The aim of this note is to describe the program ENDOG (v.3.0). The program handles pedigree information to conduct several demographic and genetic analyses including: (a) the individual inbreeding and average relatedness coefficients; (b) effective population size; (c) parameters characterizing the concentration of both gene... The aim of this note is to describe the program ENDOG (v.3.0). The program handles pedigree information to conduct several demographic and genetic analyses including: (a) the individual inbreeding and average relatedness coefficients; (b) effective population size; (c) parameters characterizing the concentration of both gene and individuals origin such as the effective number of founders and ancestors, the effective number of founder herds; (d) F statistics and paired genetic distances for each subpopulation under study; (e) descriptors of the genetic importance of the herds in a population and (f) generation intervals. The program will help breeders and researchers to monitor the changes in genetic variability and population structure with limited costs of preparing datasets. The program, user’s guide and example file can be downloaded free of charge from the World Wide Web at http://www.ucm.es/info/prodanim/Endog30.zip. read more read less

Topics:

Population (55%)55% related to the paper, Effective population size (51%)51% related to the paper
View PDF
453 Citations
Journal Article DOI: 10.1111/J.1439-0388.2007.00701.X
Prediction of response to marker-assisted and genomic selection using selection index theory.
Jack C. M. Dekkers1

Abstract:

Selection index methods can be used for deterministic assessment of the potential benefit of including marker information in genetic improvement programmes using marker-assisted selection (MAS). By specifying estimates of breeding values derived from marker information (M-EBV) as a correlated trait with heritability equal to ... Selection index methods can be used for deterministic assessment of the potential benefit of including marker information in genetic improvement programmes using marker-assisted selection (MAS). By specifying estimates of breeding values derived from marker information (M-EBV) as a correlated trait with heritability equal to 1, it was demonstrated that marker information can be incorporated in standard software for selection index predictions of response and rates of inbreeding, which requires specifying phenotypic traits and their genetic parameters. Path coefficient methods were used to derive genetic and phenotypic correlations between M-EBV and the phenotypic data. Methods were extended to multi-trait selection and to the case when M-EBV are based on high-density marker genotype data, as in genomic selection. Methods were applied to several example scenarios, which confirmed previous results that MAS substantially increases response to selection but also demonstrated that MAS can result in substantial reductions in the rates of inbreeding. Although further validation by stochastic simulation is required, the developed methodology provides an easy means of deterministically evaluating the potential benefits of MAS and to optimize selection strategies with availability of marker data. read more read less

Topics:

Selection (genetic algorithm) (64%)64% related to the paper, Truncation selection (62%)62% related to the paper, Marker-assisted selection (58%)58% related to the paper, Heritability (50%)50% related to the paper
340 Citations
Journal Article DOI: 10.1111/J.1439-0388.2007.00700.X
Comparison of genomic and traditional BLUP-estimated breeding value accuracy and selection response under alternative trait and genomic parameters
William M. Muir1

Abstract:

Accuracy of prediction of estimated breeding values based on genome-wide markers (GEBV) and selection based on GEBV as compared with traditional Best Linear Unbiased Prediction (BLUP) was examined for a number of alternatives, including low heritability, number of generations of training, marker density, initial distributions... Accuracy of prediction of estimated breeding values based on genome-wide markers (GEBV) and selection based on GEBV as compared with traditional Best Linear Unbiased Prediction (BLUP) was examined for a number of alternatives, including low heritability, number of generations of training, marker density, initial distributions, and effective population size (Ne). Results show that the more the generations of data in which both genotypes and phenotypes were collected, termed training generations (TG), the better the accuracy and persistency of accuracy based on GEBV. GEBV excelled for traits of low heritability regardless of initial equilibrium conditions, as opposed to traditional marker-assisted selection, which is not useful for traits of low heritability. Effective population size is critical for populations starting in Hardy-Weinberg equilibrium but not for populations started from mutation-drift equilibrium. In comparison with traditional BLUP, GEBV can exceed the accuracy of BLUP provided enough TG are included. Unfortunately selection rapidly reduces the accuracy of GEBV. In all cases examined, classic BLUP selection exceeds what was possible for GEBV selection. Even still, GEBV could have an advantage over traditional BLUP in cases such as sex-limited traits, traits that are expensive to measure, or can only be measured on relatives. A combined approach, utilizing a mixed model with a second random effect to account for quantitative trait loci in linkage equilibrium (the polygenic effect) was suggested as a way to capitalize on both methodologies. read more read less

Topics:

Best linear unbiased prediction (52%)52% related to the paper, Selection (genetic algorithm) (50%)50% related to the paper
293 Citations
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13. What is Sherpa RoMEO Archiving Policy for Journal of Animal Breeding and Genetics?

SHERPA/RoMEO Database

We extracted this data from Sherpa Romeo to help researchers understand the access level of this journal in accordance with the Sherpa Romeo Archiving Policy for Journal of Animal Breeding and Genetics. The table below indicates the level of access a journal has as per Sherpa Romeo's archiving policy.

RoMEO Colour Archiving policy
Green Can archive pre-print and post-print or publisher's version/PDF
Blue Can archive post-print (ie final draft post-refereeing) or publisher's version/PDF
Yellow Can archive pre-print (ie pre-refereeing)
White Archiving not formally supported
FYI:
  1. Pre-prints as being the version of the paper before peer review and
  2. Post-prints as being the version of the paper after peer-review, with revisions having been made.

14. What are the most common citation types In Journal of Animal Breeding and Genetics?

The 5 most common citation types in order of usage for Journal of Animal Breeding and Genetics are:.

S. No. Citation Style Type
1. Author Year
2. Numbered
3. Numbered (Superscripted)
4. Author Year (Cited Pages)
5. Footnote

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