Animal Bioscience

Ruminant Nutrition and Forage Utilization
Metabolomics comparison of serum and urine in dairy cattle using proton nuclear magnetic resonance spectroscopy: Jun Sik Eom, Eun Tae Kim, Hyun Sang Kim, You Young Choi, Shin Ja Lee, Sang Suk Lee, Seon Ho Kim, Sung Sill Lee; Anim Biosci. 2021;34(12):1930-1939. Published online April 23, 2021; DOI: https://doi.org/10.5713/ab.20.0870; Full text PubReader ePub Crossref - TDM PDF Supplementary Material

Animal Reproduction and Physiology
Nutritional condition in the dry period is related to the incidence of postpartum subclinical endometritis in dairy cattle: Asako Taniguchi, Tatsuya Nishikawa, Yasuhiro Morita; Anim Biosci. 2021;34(4):539-545. Published online June 24, 2020; DOI: https://doi.org/10.5713/ajas.20.0198
Cited By 1; Full text PubReader ePub Crossref - TDM PDF

Animal Breeding and Genetics
Genotype by environment interaction for somatic cell score in Holstein cattle of southern Brazil via reaction norms: Henrique Alberto Mulim, Luis Fernando Batista Pinto, Altair Antônio Valloto, Victor Breno Pedrosa; Anim Biosci. 2021;34(4):499-505. Published online May 12, 2020; DOI: https://doi.org/10.5713/ajas.20.0031; Full text PubReader ePub Crossref - TDM PDF

Ruminant Nutrition and Forage Utilization
Metabolomics comparison of rumen fluid and milk in dairy cattle using proton nuclear magnetic resonance spectroscopy: Jun Sik Eom, Eun Tae Kim, Hyun Sang Kim, You Young Choi, Shin Ja Lee, Sang Suk Lee, Seon Ho Kim, Sung Sill Lee; Anim Biosci. 2021;34(2):213-222. Published online June 24, 2020; DOI: https://doi.org/10.5713/ajas.20.0197
Cited By 3; Full text PubReader ePub Crossref - TDM PDF Supplementary Material

Animal Breeding and Genetics
Gene polymorphisms influencing yield, composition and technological properties of milk from Czech Simmental and Holstein cows: Jindřich Čítek, Michaela Brzáková, Lenka Hanusová, Oto Hanuš, Libor Večerek, Eva Samková, Zuzana Křížová, Irena Hoštičková, Tereza Kávová, Karolina Straková, Lucie Hasoňová; Anim Biosci. 2021;34(1):2-11. Published online January 13, 2020; DOI: https://doi.org/10.5713/ajas.19.0520
Cited By 2; Full text PubReader ePub Crossref - TDM PDF Supplementary Material


Genetic parameters for milk yield in imported Jersey and Jersey-Friesian cows using daily milk records in Sri Lanka: Amali Malshani Samaraweera, Vinzent Boerner, Hewa Waduge Cyril, Julius van der Werf, Susanne Hermesch; Anim Biosci. 2020;33(11):1741-1754. Published online February 25, 2020; DOI: https://doi.org/10.5713/ajas.19.0798; Full text PubReader ePub Crossref - TDM PDF


Association of UDP-galactose-4-epimerase with milk protein concentration in the Chinese Holstein population: Cong Li, Wentao Cai, Shuli Liu, Chenghao Zhou, Mingyue Cao, Hongwei Yin, Dongxiao Sun, Shengli Zhang, Juan J. Loor; Anim Biosci. 2020;33(11):1725-1731. Published online February 25, 2020; DOI: https://doi.org/10.5713/ajas.19.0549
Cited By 2; Full text PubReader ePub Crossref - TDM PDF Supplementary Material


Estimation of genetic parameters and trends for production traits of dairy cattle in Thailand using a multiple-trait multiple-lactation test day model: Sayan Buaban, Somsook Puangdee, Monchai Duangjinda, Wuttigrai Boonkum; Anim Biosci. 2020;33(9):1387-1399. Published online November 12, 2019; DOI: https://doi.org/10.5713/ajas.19.0141
Cited By 5; Full text PubReader ePub Crossref - TDM PDF

Environment and Management
Relationship of dairy heifer reproduction with survival to first calving, milk yield and culling risk in the first lactation: István Fodor, Zsolt Lang, László Ózsvári; Anim Biosci. 2020;33(8):1360-1368. Published online December 24, 2019; DOI: https://doi.org/10.5713/ajas.19.0474
Cited By 3; Full text PubReader ePub Crossref - TDM PDF

Ruminant Nutrition and Forage Utilization
Nutritional efficiency of feed restricted F1 Holstein/Zebu cows during the middle third of lactation: Pedro Felipe Santana, Vicente Ribeiro Rocha Júnior, José Reinaldo Mendes Ruas, Flávio Pinto Monção, Luana Alcântara Borges, Thaís Eleonora Santos Sousa, Fredson Vieira e Silva, Walber de Oliveira Rabelo, Cinara da Cunha Siqueira Carvalho, Eleuza Clarete Junqueira de Sales; Anim Biosci. 2020;33(2):236-244. Published online May 28, 2019; DOI: https://doi.org/10.5713/ajas.18.0795
Cited By 4; Full text PubReader ePub Crossref - TDM PDF


Nutritional and performance viability of cactus Opuntia-based diets with different concentrate levels for Girolando lactating dairy cows: Jonas Gomes Inácio, Maria Gabriela da Conceição, Djalma Cordeiro dos Santos, Júlio César Vieira de Oliveira, Juana Catarina Cariri Chagas, Gláucia Sabrine de Oliveira Moraes, Evannielly Thuanny dos Santos Silva, Marcelo de Andrade Ferreira; Anim Biosci. 2020;33(1):35-43. Published online May 27, 2019; DOI: https://doi.org/10.5713/ajas.18.0916
Cited By 5; Full text PubReader ePub Crossref - TDM PDF

Animal Breeding and Genetics
Evaluation of genotype by environment interactions on milk production traits of Holstein cows in southern Brazil: Raphael Patrick Moreira, Luis Fernando Batista Pinto, Altair Antônio Valloto, Victor Breno Pedrosa; Anim Biosci. 2019;32(4):459-466. Published online July 26, 2018; DOI: https://doi.org/10.5713/ajas.18.0174
Cited By 1; Full text PubReader ePub Crossref - TDM 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; Anim Biosci. 2019;32(2):159-169. Published online July 26, 2018; DOI: https://doi.org/10.5713/ajas.18.0161; Full text PubReader ePub Crossref - TDM PDF


The use of data mining methods for dystocia detection in Polish Holstein-Friesian Black-and-White cattle: Daniel Zaborski, Witold S. Proskura, Wilhelm Grzesiak; Anim Biosci. 2018;31(11):1700-1713. Published online April 12, 2018; DOI: https://doi.org/10.5713/ajas.17.0780
Cited By 2; Full text PubReader ePub Crossref - TDM PDF Supplementary Material


Prediction of random-regression coefficient for daily milk yield after 305 days in milk by using the regression-coefficient estimates from the first 305 days: Takeshi Yamazaki, Hisato Takeda, Koichi Hagiya, Satoshi Yamaguchi, Osamu Sasaki; Anim Biosci. 2018;31(10):1542-1549. Published online March 13, 2018; DOI: https://doi.org/10.5713/ajas.17.0861; Full text PubReader ePub Crossref - TDM PDF

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