Journal of Livestock Science and Technologies

Journal of Livestock Science and Technologies

No. of Volumes

15

No. of Issues

29

No. of Articles

257

No. of Contributors

701

Article View

334,012

PDF Download

262,986

View Per Article

1299.66

PDF Download Per Article

1023.29

 

No. of Submissions

752

Rejected Submissions

431

Reject Rate

57

Accepted Submissions

241

Acceptance Rate

32

Time to Accept (Days)

133

No. of Databases

33

No. of Reviewers

655

 

Journal of Livestock Science and Technologies (JLST) is a peer-reviewed journal that is published in English as a printed journal and in electronic form jointly by Shahid Bahonar University of Kerman and the Iranian Society of Animal Science. The general mission of the Journal of Livestock Science and Technologies is to promote communication and collaboration among individuals and organizations associated with the livestock sector and related technologies. Papers in the Journal of Livestock Science and Technologies focus on discovering, disseminating and applying knowledge for sustainable use of livestock for food and other human needs. The journal is mainly concerned with domesticated animals; however, contributions on aquatic, wildlife species and laboratory animal species that address fundamental questions related to livestock and companion animal biology will also be considered for publication. Journal of Livestock Science and Technologies publishes the highest quality original contributions dealing with animal breeding, genetics and genomics, animal nutrition, feed quality, and nutritional value,  animal physiology and reproduction, livestock farming systems, sustainability, and natural resource management, meat science and consumer acceptability, behavior, health, and welfare.


ISSN: 2322-3553 (Print)           ISSN: 2322-374X  (Online)        

Abbreviation: J. Livest. Sci. Technol.

Current Issue: Volume 15, Issue 1, July 2026, Pages 1-110 

Modeling a latent variable for body size using morphometric traits in cattle

Pages 57-61

10.22103/jlst.2026.26488.1712

Morteza Mokhtari, Morteza Bitaraf Sani, Rouhollah Mirmahmoudi, Yadollah Badakhshan, Mozhgan Mazhari

Publication Information

Publisher
Shahid Bahonar University of Kerman and Iranian Society of Animal Science

Director-in-Charge
Editor-in-Chief

Frequency
Semiannual
Print ISSN
Online ISSN

Keywords Cloud

  • broiler
  • sheep
  • heritability
  • performance
  • body weight
  • genetic correlation
  • digestibility
  • Heat stress
  • Japanese quail
  • genetic parameters
  • goat
  • Growth
  • polymorphism
  • gas production
  • Growth Performance
  • Broilers
  • animal model
  • soybean meal
  • Ram
  • maternal effects
  • laying hens
  • Fermentation
  • degradability
  • Broiler Chickens
  • Antioxidant
  • dairy cows
  • milk production
  • meat quality
  • Spermatozoa
  • rumen fermentation
  • egg quality
  • dairy goat
  • variance components
  • Predictive Ability
  • Inbreeding
  • microbial protein
  • zinc
  • lamb
  • dairy cow
  • reproduction
  • production traits
  • BMP15
  • SNP
  • Growth traits
  • semen
  • milk yield
  • latent variable
  • Cattle
  • birth weight
  • thyroxine
  • Quantitative Trait Loci
  • canola meal
  • probiotic
  • tannin
  • lambs
  • ruminal fermentation
  • testosterone
  • Kurdi sheep
  • genotype imputation
  • goodness of fit
  • in vitro digestibility
  • Zandi sheep
  • bioinformatics
  • microsatellite
  • sperm
  • Microsatellite marker
  • Chemical composition
  • Holstein cattle
  • genetic evaluation
  • reproductive performance
  • dairy cattle
  • Antioxidant Status
  • laying hen
  • crossbreeding
  • ammonia
  • Bayesian approach
  • energy source
  • reproductive traits
  • phosphorus
  • blood
  • nutritional value
  • QTL mapping
  • cholesterol
  • Machine Learning
  • calpastatin
  • genomic selection
  • Logistic Regression
  • causal relationship
  • sexual dimorphism
  • genomic evaluation
  • immune response
  • calf
  • Saanen
  • feed form
  • ruminants
  • eggshell quality
  • bioavailability
  • ammonia nitrogen
  • Freezing
  • carcass traits
  • alhydrogel
  • Candidate Gene
  • selection
  • chicken
  • follicles
  • Holstein cows
  • fungi
  • reproduction traits
  • amino acids
  • lavender
  • cryopreservation
  • wheat bran
  • feed intake
  • wheat straw
  • protozoa
  • intestinal morphology
  • Iran
  • Potato plant
  • Selenium
  • PCR
  • in vitro
  • genetic parameter
  • synbiotic
  • Prediction
  • rooster
  • native chickens
  • egg production
  • Estrus synchronization
  • Gene expression
  • microsatellite markers
  • feed formulation
  • Cold stress
  • immunity
  • phenotypic correlation
  • Lori-Bakhtiari sheep
  • Methionine
  • beet pulp
  • goats
  • feed
  • rumen
  • purine derivatives
  • Zinc Oxide Nanoparticles
  • morphometric traits
  • culling
  • silage
  • Legendre polynomials
  • genetic diversity
  • blood metabolites
  • membrane integrity
  • udder disorders
  • Medicinal plants
  • pre-structured multivariate model
  • unsaturated fatty acids
  • censored data
  • Oil
  • citric acid
  • reproductive biotechnologies
  • genomic prediction
  • genetic analysis
  • fennel seed
  • gamma distribution
  • STS marker
  • wool
  • enzyme inhibition
  • forages
  • sunflower hull
  • chromium
  • fennel
  • Moringa peregrina
  • alfalfa hay
  • INHA
  • Pistacia atlantica
  • CNCPS model
  • phytase
  • contemporary groups
  • layer
  • metabolizable energy equivalency
  • pyruvate carboxylase
  • random regression
  • gases
  • In vitro digestibility
  • gestation length
  • phenotypic trend
  • Biochemical Parameters
  • NDF
  • carcass composition
  • parallel computing
  • SSCP
  • INHBA
  • sheep breeds
  • Khalkhali goats
  • low protein
  • genetic architecture
  • tannic acid
  • cow
  • growth promoters
  • goodness of fit measures
  • neonatal calves
  • alkaline phosphatase
  • Epigenetics