Animal Bioscience

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Animal Breeding and Genetics
Genome-wide scans for detecting the selection signature of the Jeju-island native pig in Korea: Young-Sup Lee, Donghyun Shin, Kyeong-Hye Won, Dae Cheol Kim, Sang Chul Lee, Ki-Duk Song; Asian-Australas J Anim Sci. 2020;33(4):539-546. Published online July 1, 2019; DOI: https://doi.org/10.5713/ajas.19.0026
Web of Science 5 Crossref 5; Full text PubReader ePub PDF Supplementary Material


Selection signature reveals genes associated with susceptibility loci affecting respiratory disease due to pleiotropic and hitchhiking effect in Chinese indigenous pigs: Zhong Xu, Hao Sun, Zhe Zhang, Cheng-Yue Zhang, Qing-bo Zhao, Qian Xiao, Babatunde Shittu Olasege, Pei-Pei Ma, Xiang-Zhe Zhang, Qi-Shan Wang, Yu-Chun Pan; Asian-Australas J Anim Sci. 2020;33(2):187-196. Published online February 7, 2019; DOI: https://doi.org/10.5713/ajas.18.0658
Web of Science 6 Crossref 7; Full text PubReader ePub PDF Supplementary Material


Comparison of genomic predictions for carcass and reproduction traits in Berkshire, Duroc and Yorkshire populations in Korea: Asif Iqbal, Tae-Jeong Choi, You-Sam Kim, Yun-Mi Lee, M. Zahangir Alam, Jong-Hyun Jung, Ho-Sung Choe, Jong-Joo Kim; Asian-Australas J Anim Sci. 2019;32(11):1657-1663. Published online July 1, 2019; DOI: https://doi.org/10.5713/ajas.18.0672
Web of Science 4 Crossref 4; Full text PubReader ePub PDF


Comparison of genome-wide association and genomic prediction methods for milk production traits in Korean Holstein cattle: SeokHyun Lee, ChangGwon Dang, YunHo Choy, ChangHee Do, Kwanghyun Cho, Jongjoo Kim, Yousam Kim, Jungjae Lee; Asian-Australas J Anim Sci. 2019;32(7):913-921. Published online February 9, 2019; DOI: https://doi.org/10.5713/ajas.18.0847
Web of Science 8 Crossref 6; Full text PubReader ePub PDF


Selection on milk production and conformation traits during the last two decades in Japan: Kenji Togashi, Takefumi Osawa, Kazunori Adachi, Kazuhito Kurogi, Kota Tokunaka, Takanori Yasumori, Tsutomu Takahashi, Kimihiro Moribe; Asian-Australas J Anim Sci. 2019;32(2):183-191. Published online July 26, 2018; DOI: https://doi.org/10.5713/ajas.18.0259
Web of Science 2 Crossref 2; Full text PubReader ePub PDF


Effects of preselection of genotyped animals on reliability and bias of genomic prediction in dairy cattle: Kenji Togashi, Kazunori Adachi, Kazuhito Kurogi, Takanori Yasumori, Kouichi Tokunaka, Atsushi Ogino, Yoshiyuki Miyazaki, Toshio Watanabe, Tsutomu Takahashi, Kimihiro Moribe; Asian-Australas J Anim Sci. 2019;32(2):159-169. Published online July 26, 2018; DOI: https://doi.org/10.5713/ajas.18.0161; Full text PubReader ePub PDF


Genetic diversity and divergence among Korean cattle breeds assessed using a BovineHD single-nucleotide polymorphism chip: Seungchang Kim, Hyun Sub Cheong, Hyoung Doo Shin, Sung-Soo Lee, Hee-Jong Roh, Da-Yeon Jeon, Chang-yeon Cho; Asian-Australas J Anim Sci. 2018;31(11):1691-1699. Published online July 26, 2018; DOI: https://doi.org/10.5713/ajas.17.0419
Web of Science 16 Crossref 15; Full text PubReader ePub PDF


Impact of applying sex sorted semen on the selection proportion of the sire of dams selection pathway in a nucleus program: Sahereh Joezy-Shekalgorabi, Albert De Vries; Asian-Australas J Anim Sci. 2018;31(9):1387-1392. Published online November 3, 2017; DOI: https://doi.org/10.5713/ajas.17.0108
Crossref 1; Full text PubReader ePub PDF


Analysis of cross-population differentiation between Thoroughbred and Jeju horses: Wonseok Lee, Kyung-Do Park, Mengistie Taye, Chul Lee, Heebal Kim, Hak-Kyo Lee, Donghyun Shin; Asian-Australas J Anim Sci. 2018;31(8):1110-1118. Published online December 19, 2017; DOI: https://doi.org/10.5713/ajas.17.0460
Crossref 5; Full text PubReader ePub PDF Supplementary Material


Estimation of heritability and genetic correlation of body weight gain and growth curve parameters in Korean native chicken: Prabuddha Manjula, Hee-Bok Park, Dongwon Seo, Nuri Choi, Shil Jin, Sung Jin Ahn, Kang Nyeong Heo, Bo Seok Kang, Jun Heon Lee; Asian-Australas J Anim Sci. 2018;31(1):26-31. Published online June 27, 2017; DOI: https://doi.org/10.5713/ajas.17.0179
Crossref 29; Full text PubReader ePub PDF Supplementary Material


Effects of selection index coefficients that ignore reliability on economic weights and selection responses during practical selection: Kenji Togashi, Kazunori Adachi, Takanori Yasumori, Kazuhiko Kurogi, Takayoshi Nozaki, Akio Onogi, Yamato Atagi, Tsutomu Takahashi; Asian-Australas J Anim Sci. 2018;31(1):19-25. Published online May 14, 2017; DOI: https://doi.org/10.5713/ajas.16.0991
Crossref 3; Full text PubReader ePub PDF


Genetic signature of strong recent positive selection at interleukin-32 gene in goat: Akhtar Rasool Asif, Sumayyah Qadri, Nabeel Ijaz, Ruheena Javed, Abdur Rahman Ansari, Muhammd Awais, Muhammad Younus, Hasan Riaz, Xiaoyong Du; Asian-Australas J Anim Sci. 2017;30(7):912-919. Published online April 22, 2016; DOI: https://doi.org/10.5713/ajas.15.0941
Crossref 3; Full text PubReader ePub PDF


Accuracy of genomic breeding value prediction for intramuscular fat using different genomic relationship matrices in Hanwoo (Korean cattle): Taejeong Choi, Dajeong Lim, Byoungho Park, Aditi Sharma, Jong-Joo Kim, Sidong Kim, Seung Hwan Lee; Asian-Australas J Anim Sci. 2017;30(7):907-911. Published online June 30, 2016; DOI: https://doi.org/10.5713/ajas.15.0983
Crossref 11; Full text PubReader ePub PDF Supplementary Material

Ruminant Nutrition and Forage Utilization
Comparative study on production, reproduction and functional traits between Fleckvieh and Braunvieh cattle: Ludovic-Toma Cziszter, Daniela-Elena Ilie, Radu-Ionel Neamt, Florin-Cristian Neciu, Silviu-Ilie Saplacan, Dinu Gavojdian; Asian-Australas J Anim Sci. 2017;30(5):666-671. Published online November 17, 2016; DOI: https://doi.org/10.5713/ajas.16.0588
Crossref 9; Full text PubReader ePub PDF

Animal Breeding and Genetics
Validation of selection accuracy for the total number of piglets born in Landrace pigs using genomic selection: Jae-Don Oh, Chong-Sam Na, Kyung-Do Park; Asian-Australas J Anim Sci. 2017;30(2):149-153. Published online August 10, 2016; DOI: https://doi.org/10.5713/ajas.16.0394
Crossref 3; Full text PubReader ePub PDF

ANIMAL
BIOSCIENCE

Impact Factor: 2.2(Q₂)
SJR: 0.613
(Q₁ in Animal Sci
/ Vet Sci)
Print ISSN: 2765-0189
Online ISSN: 2765-0235

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