日期 影响因子
日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:
–

Preference and behavioral responses to synbiotic supplementation via drinking water in laying hens under social stress

社会压力下蛋鸡对饮用水中添加合生元补充剂的偏好和行为反应

期刊:Poultry Science
影响因子:4.2
doi:10.1016/j.psj.2026.106860
Naim, Anna; van Staaveren, Nienke; Leishman, Emily M; Nicklas, Anna Lea; Tulpan, Dan; Forsythe, Paul; Harlander, Alexandra
发表日期：2026
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A comparative analysis of machine learning classifiers for modeling the number of liveborn piglets

对用于模拟活仔猪数量的机器学习分类器进行比较分析

期刊:Journal of Animal Science
影响因子:2.9
doi:10.1093/jas/skaf414
Yang, Ji; Jafarikia, Mohsen; Gagnon, Patrick; Maignel, Laurence; DeVries, Brent; Li, Julang; Tulpan, Dan
发表日期：2026
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Genetic parameters for feed efficiency, growth performance, and feeding behaviors traits in Canadian Duroc pigs

加拿大杜洛克猪饲料转化率、生长性能和采食行为性状的遗传参数

期刊:Journal of Animal Science
影响因子:2.9
doi:10.1093/jas/skag023
Do, Duy Ngoc; Jafarikia, Mohsen; Maignel, Laurence; Tulpan, Dan; Adewole, Deborah; Holl, Justin; Sullivan, Brian; Miar, Younes
发表日期：2026
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ASAS-NANP Symposium: mathematical modeling in animal nutrition: construction of supervised machine learning regression pipelines for livestock data modeling: a case studys

ASAS-NANP研讨会：动物营养中的数学建模：构建用于畜牧数据建模的监督式机器学习回归流程：案例研究

期刊:Journal of Animal Science
影响因子:2.9
doi:10.1093/jas/skaf444
Tulpan, Dan; Tedeschi, Luis O; Menendez, Hector; Vieira, Ricardo Augusto M
发表日期：2026
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Predicting environmental stressor levels with machine learning: a comparison between amplicon sequencing, metagenomics, and total RNA sequencing based on taxonomically assigned data

利用机器学习预测环境压力水平：基于分类学数据的扩增子测序、宏基因组学和总RNA测序的比较

期刊:Frontiers in Microbiology
影响因子:4.5
doi:10.3389/fmicb.2023.1217750
Hempel, Christopher A; Buchner, Dominik; Mack, Leoni; Brasseur, Marie V; Tulpan, Dan; Leese, Florian; Steinke, Dirk
发表日期：2023
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Application of SVR-Mediated GWAS for Identification of Durable Genetic Regions Associated with Soybean Seed Quality Traits

应用SVR介导的GWAS鉴定与大豆种子品质性状相关的持久遗传区域

期刊:Plants-Basel
影响因子:4.1
doi:10.3390/plants12142659
Yoosefzadeh-Najafabadi, Mohsen; Torabi, Sepideh; Tulpan, Dan; Rajcan, Istvan; Eskandari, Milad
发表日期：2023
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A computer vision image differential approach for automatic detection of aggressive behavior in pigs using deep learning

基于深度学习的计算机视觉图像差分方法用于自动检测猪的攻击性行为

期刊:Journal of Animal Science
影响因子:2.9
doi:10.1093/jas/skad347
Fraser, Jasmine; Aricibasi, Harry; Tulpan, Dan; Bergeron, Renée
发表日期：2023
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Unravelling the genetics of non-random fertilization associated with gametic incompatibility

揭示与配子不相容性相关的非随机受精的遗传机制

期刊:Scientific Reports
影响因子:3.9
doi:10.1038/s41598-022-26910-8
Martin, Audrey A A; Id-Lahoucine, Samir; Fonseca, Pablo A S; Rochus, Christina M; Alcantara, Lucas M; Tulpan, Dan; LeBlanc, Stephen J; Miglior, Filippo; Casellas, Joaquim; Cánovas, Angela; Baes, Christine F; Schenkel, Flavio S
发表日期：2022
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Genome-Wide Association Studies of Soybean Yield-Related Hyperspectral Reflectance Bands Using Machine Learning-Mediated Data Integration Methods

利用机器学习介导的数据整合方法对大豆产量相关的高光谱反射波段进行全基因组关联研究

期刊:Frontiers in Plant Science
影响因子:4.8
doi:10.3389/fpls.2021.777028
Yoosefzadeh-Najafabadi, Mohsen; Torabi, Sepideh; Tulpan, Dan; Rajcan, Istvan; Eskandari, Milad
发表日期：2021
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31 Gametic Incompatibility: Improving the Success of Mate Allocation in Dairy Cattle

31 配子不相容性：提高奶牛配偶分配的成功率

期刊:BMC Biology
影响因子:4.5
doi:10.1186/s12915-019-0665-1
Kretschmer, Simon; Ganzinger, Kristina A; Franquelim, Henri G; Schwille, Petra; Martin, Audrey A A; Id-Lahoucine, Samir; Tulpan, Dan; Leblanc, Stephen J; Cánovas, Angela; Baes, Christine F; Schenkel, Flavio S
发表日期：2021
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