No. of Volumes

11

No. of Issues

21

No. of Articles

177

No. of Contributors

484

Article View

237,611

PDF Download

193,814

View Per Article

1342.44

PDF Download Per Article

1094.99

 

No. of Submissions

497

Rejected Submissions

277

Reject Rate

56

Accepted Submissions

160

Acceptance Rate

32

Time to Accept (Days)

160

No. of Databases

33

No. of Reviewers

557

 

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 11, Issue 1, June 2023, Pages 1-77 

Fat-tailed and thin-tailed lambs responses to glucose and insulin challenges during different energy balances

Pages 9-19

10.22103/jlst.2022.20152.1428

Hossein Zakariapour Bahnamiri; Mahdi Ganjkhanloo; Abolfazl Zali; Mostefa Sadeghi; Hossein Moradi Shahrbabak; Sara Ataei Nazari


The accuracy of breeding values for body size latent trait in pigs under different prediction models

Pages 61-67

10.22103/jlst.2023.20894.1454

Elahe Sanjari Banestani; Ali Esmailizadeh; Mehdi Moemen; Ahmad Ayatollahi Mehrgardi; Morteza Mokhtari


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

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