Animal Bioscience

Nonruminant Nutrition and Feed Processing
Predicting standardized ileal digestibility of lysine in full-fat soybeans using chemical composition and physical characteristics: Chanwit Kaewtapee, Rainer Mosenthin; Anim Biosci. 2024;37(6):1077-1084. Published online January 20, 2024; DOI: https://doi.org/10.5713/ab.23.0236; PDF

Animal Behavior and Welfare
Heart rate variability and behavioral alterations during prepartum period in dairy cows as predictors of calving: a preliminary study: Tomoki Kojima, Chen-Yu Huang, Ken-ichi Yayou; Anim Biosci. 2024;37(5):944-951. Published online January 20, 2024; DOI: https://doi.org/10.5713/ab.23.0391; PDF

Animal Breeding and Genetics
Application of deep learning with bivariate models for genomic prediction of sow lifetime productivity-related traits: Joon-Ki Hong, Yong-Min Kim, Eun-Seok Cho, Jae-Bong Lee, Young-Sin Kim, Hee-Bok Park; Anim Biosci. 2024;37(4):622-630. Published online January 14, 2024; DOI: https://doi.org/10.5713/ab.23.0264; Full text PubReader ePub PDF


Evaluation of accuracies of genomic predictions for body conformation traits in Korean Holstein: Md Azizul Haque, Mohammad Zahangir Alam, Asif Iqbal, Yun Mi Lee, Chang Gwon Dang, Jong Joo Kim; Anim Biosci. 2024;37(4):555-566. Published online January 20, 2024; DOI: https://doi.org/10.5713/ab.23.0237; Full text PubReader ePub PDF

Animal Products
Prediction of tenderness in bovine longissimus thoracis et lumborum muscles using Raman spectroscopy: Maria Sumampa Coria, María Sofía Castaño Ledesma, Jorge Raúl Gómez Rojas, Gabriela Grigioni, Gustavo Adolfo Palma, Claudio Darío Borsarelli; Anim Biosci. 2023;36(9):1435-1444. Published online February 26, 2023; DOI: https://doi.org/10.5713/ab.22.0451
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Animal Breeding and Genetics
Single-step genomic evaluation for growth traits in a Mexican Braunvieh cattle population: Jonathan Emanuel Valerio-Hernández, Agustín Ruíz-Flores, Mohammad Ali Nilforooshan, Paulino Pérez-Rodríguez; Anim Biosci. 2023;36(7):1003-1009. Published online February 28, 2023; DOI: https://doi.org/10.5713/ab.22.0158; Full text PubReader ePub PDF

Nonruminant Nutrition and Feed Processing
Net energy and its establishment of prediction equations for wheat bran in growing pigs: Zhiqian Lyu, Yifan Chen, Fenglai Wang, Ling Liu, Shuai Zhang, Changhua Lai; Anim Biosci. 2023;36(1):108-118. Published online June 24, 2022; DOI: https://doi.org/10.5713/ab.22.0001
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Environment and Management
Lactation milk yield prediction in primiparous cows on a farm using the seasonal auto-regressive integrated moving average model, nonlinear autoregressive exogenous artificial neural networks and Wood’s model: Wilhelm Grzesiak, Daniel Zaborski, Iwona Szatkowska, Katarzyna Królaczyk; Anim Biosci. 2021;34(4):770-782. Published online April 12, 2020; DOI: https://doi.org/10.5713/ajas.19.0939
Web of Science 6 Crossref 8; Full text PubReader ePub PDF Supplementary Material

Nonruminant Nutrition and Feed Processing
Prediction equations for digestible and metabolizable energy concentrations in feed ingredients and diets for pigs based on chemical composition: Jung Yeol Sung, Beob Gyun Kim; Anim Biosci. 2021;34(2):306-311. Published online July 14, 2020; DOI: https://doi.org/10.5713/ajas.20.0293
Web of Science 11 Crossref 13; Full text PubReader ePub PDF


Prediction of net energy values in expeller-pressed and solvent-extracted rapeseed meal for growing pigs: Zhongchao Li, Zhiqian Lyu, Hu Liu, Dewen Liu, Neil Jaworski, Yakui Li, Changhua Lai; Anim Biosci. 2021;34(1):109-118. Published online April 12, 2020; DOI: https://doi.org/10.5713/ajas.19.0962
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Animal Breeding and Genetics
Assessment of genomic prediction accuracy using different selection and evaluation approaches in a simulated Korean beef cattle population: Chiemela Peter Nwogwugwu, Yeongkuk Kim, Hyunji Choi, Jun Heon Lee, Seung-Hwan Lee; Asian-Australas J Anim Sci. 2020;33(12):1912-1921. Published online June 24, 2020; DOI: https://doi.org/10.5713/ajas.20.0217
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Nonruminant Nutrition and Feed Processing
Modeling net energy requirements of 2 to 3-week-old Cherry Valley ducks: Ting Yang, Lexiao Yu, Min Wen, Hua Zhao, Xiaoling Chen, Guangmang Liu, Gang Tian, Jingyi Cai, Gang Jia; Asian-Australas J Anim Sci. 2020;33(10):1624-1632. Published online November 12, 2019; DOI: https://doi.org/10.5713/ajas.19.0561
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Animal Breeding and Genetics
Genomic selection through single-step genomic best linear unbiased prediction improves the accuracy of evaluation in Hanwoo cattle: Mi Na Park, Mahboob Alam, Sidong Kim, Byoungho Park, Seung Hwan Lee, Sung Soo Lee; Asian-Australas J Anim Sci. 2020;33(10):1544-1557. Published online November 12, 2019; DOI: https://doi.org/10.5713/ajas.18.0936
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Nonruminant Nutrition and Feed Processing
Neutral detergent fiber rather than other dietary fiber types as an independent variable increases the accuracy of prediction equation for digestible energy in feeds for growing pigs: Hyunjun Choi, Jung Yeol Sung, Beob Gyun Kim; Asian-Australas J Anim Sci. 2020;33(4):615-622. Published online July 1, 2019; DOI: https://doi.org/10.5713/ajas.19.0103
Web of Science 24 Crossref 27; Full text PubReader ePub PDF

Animal Breeding and Genetics
Application of single-step genomic evaluation using social genetic effect model for growth in pig: Joon Ki Hong, Young Sin Kim, Kyu Ho Cho, Deuk Hwan Lee, Ye Jin Min, Eun Seok Cho; Asian-Australas J Anim Sci. 2019;32(12):1836-1843. Published online August 26, 2019; DOI: https://doi.org/10.5713/ajas.19.0182
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