Dalla Costa Emanuela, Tranquillo Vito, Dai Francesca, Minero Michela, Battini Monica, Mattiello Silvana, Barbieri Sara, Ferrante Valentina, Ferrari Lorenzo, Zanella Adroaldo, Canali Elisabetta
Dipartimento di Medicina Veterinaria, Università degli Studi di Milano, 20133 Milano, Italy.
Istituto Zooprofilattico Sperimentale della Lombardia e dell'Emilia Romagna-Sezione diagnostica di Bergamo, 24125 Bergamo, Italy.
Animals (Basel). 2019 May 8;9(5):225. doi: 10.3390/ani9050225.
Welfare of animals significantly depends on how stakeholders perceive their needs and behave in a way to favor production systems that promote better welfare outcomes. This study aimed at investigating stakeholders' perception of the welfare of equines, small ruminants, and turkeys using text mining analysis. A survey composed by open-ended questions referring to different aspects of animal welfare was carried out. Text mining analysis was performed. A total of 270 surveys were filled out (horses = 122, sheep = 81, goats = 36, turkeys = 18, donkeys = 13). The respondents (41% veterinarians) came from 32 different countries. To describe welfare requirements, the words "feeding" and "water" were the most frequently used in all the species, meaning that respondents considered the welfare principle "good feeding" as the most relevant. The word "environment" was considered particularly important for turkeys, as well as the word "dry", never mentioned for other species. Horses stakeholders also considered "exercise" and "proper training" important. Goat stakeholders' concerns are often expressed by the word "space", probably because goats are often intensively managed in industrialized countries. Although the sample was too small to be representative, text mining analysis seems to be a promising method to investigate stakeholders' perception of animal welfare, as it emphasizes their real perception, without the constraints deriving by close-ended questions.
动物福利很大程度上取决于利益相关者如何看待它们的需求，以及他们以何种方式支持能够带来更好福利结果的生产系统。本研究旨在通过文本挖掘分析来调查利益相关者对马、小型反刍动物和火鸡福利的看法。开展了一项由涉及动物福利不同方面的开放式问题组成的调查，并进行了文本挖掘分析。总共填写了270份调查问卷（马 = 122份，绵羊 = 81份，山羊 = 36份，火鸡 = 18份，驴 = 13份）。受访者（41%为兽医）来自32个不同的国家。为描述福利需求，“喂养”和“水”这两个词在所有物种中使用频率最高，这意味着受访者认为“良好喂养”这一福利原则最为相关。“环境”一词被认为对火鸡尤为重要，“干燥”一词也是如此，而其他物种从未提及过这个词。马的利益相关者也认为“运动”和“适当训练”很重要。山羊的利益相关者的担忧通常用“空间”一词来表达，这可能是因为在工业化国家山羊经常受到集约化管理。尽管样本规模太小不足以具有代表性，但文本挖掘分析似乎是一种很有前景的方法，可用于调查利益相关者对动物福利的看法，因为它强调了他们的真实看法，而不受封闭式问题的限制。
