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

Bacterial xylanase supplementation improves nutrient utilization, gut integrity, and microbial metabolism in broilers fed energy-reduced diets

细菌木聚糖酶补充剂可改善低能量日粮肉鸡的营养利用率、肠道完整性和微生物代谢。

期刊:Poultry Science
影响因子:4.2
doi:10.1016/j.psj.2026.106515
Phusathian, Benjaphorn; Pongmanee, Koonphol; Theapparat, Yongyuth; Saikhwan, Nanthawath; Trairatapiwan, Tassanee; Chaosap, Chanporn; Seemacharoensri, Akaradet; Tactacan, Glenmer Bathan; Wong, Li-Yen; Ruangpanit, Yuwares
微生物学
代谢
发表日期：2026
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Influence of synbiotic supplementation on performance, fecal consistency, cecal microbiome, and egg quality of hens during late laying phase

益生菌补充剂对产蛋后期母鸡生产性能、粪便性状、盲肠微生物群和蛋品质的影响

期刊:Poultry Science
影响因子:4.2
doi:10.1016/j.psj.2026.106851
Pongmanee, Koonphol; Rassmidatta, Konkawat; Lee, Ting-Yu; Lin, Jin-Seng; Chaosap, Chanporn; Adeyemi, Kazeem D; Ruangpanit, Yuwares
微生物学
发表日期：2026
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Evaluation of Productivity and Egg Quality in Japanese Quails Reared Under Different LED Colors and Rearing Systems

不同LED颜色和饲养系统下日本鹌鹑生产力和蛋品质的评价

期刊:Veterinary Sciences
影响因子:2.3
doi:10.3390/vetsci13020164
Kaewhom, Paitoon; Saelim, Kraiyot; Poolsamran, Patcharawadee; Thammakarn, Chanathip; Chaosap, Chanporn; Sulaimon, Rasheed Olayiwola; Sivapirunthep, Panneepa; Srikijkasemwat, Kanokrat
发表日期：2026
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Data-driven insights into pre-slaughter mortality: Machine learning for predicting high dead on arrival in meat-type ducks

基于数据洞察的屠宰前死亡率分析：利用机器学习预测肉鸭到货死亡率

期刊:Poultry Science
影响因子:4.2
doi:10.1016/j.psj.2024.104648
Jainonthee, Chalita; Sanwisate, Phutsadee; Sivapirunthep, Panneepa; Chaosap, Chanporn; Mektrirat, Raktham; Chadsuthi, Sudarat; Punyapornwithaya, Veerasak
发表日期：2025
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Impact of transitioning from antibiotic use to antibiotic-free practices on broiler dead-on-arrival rates: A bayesian structural time series approach

从使用抗生素过渡到无抗生素养殖方式对肉鸡到货死亡率的影响：贝叶斯结构时间序列方法

期刊:Poultry Science
影响因子:4.2
doi:10.1016/j.psj.2025.105312
Sivapirunthep, Panneepa; Pirompud, Pranee; Punyapornwithaya, Veerasak; Srisawang, Supitchaya; Jainonthee, Chalita; Chaosap, Chanporn
发表日期：2025
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Predicting and explaining high dead-on-arrival outcomes in meat-type ducks using deep learning: A path to improved welfare management

利用深度学习预测和解释肉鸭高死亡率：改善动物福利管理的途径

期刊:Poultry Science
影响因子:4.2
doi:10.1016/j.psj.2025.105439
Jainonthee, Chalita; Sanwisate, Phutsadee; Sivapirunthep, Panneepa; Chaosap, Chanporn; Pichpol, Duangporn; Mektrirat, Raktham; Chadsuthi, Sudarat; Punyapornwithaya, Veerasak
发表日期：2025
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Predictive modeling of bruising in broiler chickens using machine learning algorithms

利用机器学习算法对肉鸡瘀伤进行预测建模

期刊:Poultry Science
影响因子:4.2
doi:10.1016/j.psj.2025.105756
Pirompud, Pranee; Sivapirunthep, Panneepa; Punyapornwithaya, Veerasak; Chaosap, Chanporn
发表日期：2025
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Effects of fructooligosaccharide administration routes on growth performance, gut integrity, microbiota, and meat quality in broiler chickens exposed to reused litter

果寡糖给药途径对暴露于重复利用垫料的肉鸡生长性能、肠道完整性、肠道菌群和肉质的影响

期刊:Poultry Science
影响因子:4.2
doi:10.1016/j.psj.2025.105899
Ruangpanit, Yuwares; Rassmidatta, Konkawat; Philatha, Ananchai; Saothong, Prayooth; Sompugdee, Chokchai; Phungkeha, Papawee; Srikijkasemwat, Kanokrat; Adeyemi, Kazeem D; Sulaimon, Rasheed O; Sivapirunthep, Panneepa; Chaosap, Chanporn
微生物学
肠道菌群
发表日期：2025
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Effect of microencapsulated organic acids-essential oils blend and protease on performance and gut health of broilers under nutritional challenges

微胶囊化有机酸-精油混合物和蛋白酶对营养挑战下肉鸡生产性能和肠道健康的影响

期刊:Journal of Animal Science and Technology
影响因子:3.2
doi:10.5187/jast.2024.e115
Preesong, Pattaveekan; Lertwatcharasarakul, Preeda; Pongmanee, Koonphol; Seemacharoensri, Akaradet; Tactacan, Glenmer Bathan; Chaosap, Chanporn; Ruangpanit, Yuwares
发表日期：2025
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Modeling and Forecasting Dead-on-Arrival in Broilers Using Time Series Methods: A Case Study from Thailand

利用时间序列方法对肉鸡到货死亡率进行建模和预测：以泰国为例

期刊:Animals
影响因子:2.7
doi:10.3390/ani15081179
Jainonthee, Chalita; Sivapirunthep, Panneepa; Pirompud, Pranee; Punyapornwithaya, Veerasak; Srisawang, Supitchaya; Chaosap, Chanporn
发表日期：2025
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