Melanie Rivera-Barreto, Ireliz Colón-Rodríguez, G. Soriano-Varela, Christie Golderos-Trujillo, Nicol Maeso-Ramírez, Miguelangel Torres-Sifre, Idie M. Bellavista-Colón, K. Domenech-Perez, H. Sánchez-Rodríguez
{"title":"对波多黎各用于奶牛躺卧和站立事件远程监测的商业加速度计的评估","authors":"Melanie Rivera-Barreto, Ireliz Colón-Rodríguez, G. Soriano-Varela, Christie Golderos-Trujillo, Nicol Maeso-Ramírez, Miguelangel Torres-Sifre, Idie M. Bellavista-Colón, K. Domenech-Perez, H. Sánchez-Rodríguez","doi":"10.46429/jaupr.v104i1.18286","DOIUrl":null,"url":null,"abstract":"Behavior monitoring provides important information about the impact of environment (Bonk et al., 2013), food (DeVries et al., 2003; González et al., 2008; Nielsen, 2013; RayasAmor et al., 2017) and water intake (Lukas et al., 2008; McDonald et al., 2019), welfare (Müller and Schrader, 2003), health (González et al., 2008; Lukas et al., 2008) and comfort status (Lomb et al., 2018) on dairy cattle. Thus, two methods have been commonly used to evaluate animal behavior for scientific research: direct visual observations and video footage analysis (Nielsen et al., 2010). However, both monitoring systems are time consuming (Ledgerwood et al., 2010; Bonk et al., 2013; Nielsen, 2013) and labor consuming (Ito et al., 2009; Ledgerwood et al., 2010), which limits considerably their feasibility. For these reasons livestock research has incorporated automated tools, such as data loggers, to remotely monitor animal behavior (Ledgerwood et al., 2010; Bonk et al., 2013). Even though multiple studies have confirmed the effectiveness of using data loggers as indicators for lying events in mature dairy cows (Ito et al., 2009; Ledgerwood et al., 2010; Swartz et al., 2016), to our knowledge there is only one study (Bonk et al., 2013) that has validated these sensors for the study of lying activity in Holstein calves. However, the Bonk et al. (2013) study was performed in Germany, a country with very different environmental conditions than Puerto Rico (temperate vs. tropical weather, respectively). Thus, although their data loggers’ validation may be highly useful as a guide when evaluating similar behavior in other countries, their results may not be directly extrapolated to Puerto Rico’s environmental conditions. Since Puerto Rico is located in the tropical region, the chronic nature of its high relative humidity and environmental temperature (Daly et al., 2003; PRCCC, 2013) can lead to heat stress in dairy cattle (West, 2003; Chen et al., 2013). This problem is exacerbated because Holstein cattle, the most common dairy breed on the island (Cortés et al., 2010), are highly adapted to temperate climates (Javed et al., 2004). This is important because heat stress has been reported to significantly affect cattle behavior, including their lying and standing patterns (Schütz et al., 2010; Chen et al., 2013; Polsky and von Keyser-","PeriodicalId":14937,"journal":{"name":"Journal of Agriculture of The University of Puerto Rico","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"EVALUATION OF A COMMERCIAL ACCELEROMETER FOR REMOTE MONITORING OF LYING AND STANDING EVENTS IN DAIRY CALVES IN PUERTO RICO\",\"authors\":\"Melanie Rivera-Barreto, Ireliz Colón-Rodríguez, G. Soriano-Varela, Christie Golderos-Trujillo, Nicol Maeso-Ramírez, Miguelangel Torres-Sifre, Idie M. Bellavista-Colón, K. Domenech-Perez, H. 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引用次数: 0
摘要
行为监测提供了关于环境(Bonk et al., 2013)、食物(DeVries et al., 2003;González等人,2008;尼尔森,2013;RayasAmor et al., 2017)和饮水量(Lukas et al., 2008;McDonald等人,2019),福利(m ller和Schrader, 2003),健康(González等人,2008;Lukas et al., 2008)和奶牛的舒适状况(Lomb et al., 2018)。因此,在科学研究中常用两种方法来评估动物行为:直接视觉观察和视频片段分析(Nielsen et al., 2010)。然而,这两种监测系统都很耗时(Ledgerwood et al., 2010;Bonk et al., 2013;Nielsen, 2013)和劳动消耗(Ito et al., 2009;Ledgerwood et al., 2010),这大大限制了它们的可行性。由于这些原因,牲畜研究已纳入自动化工具,如数据记录器,以远程监测动物行为(Ledgerwood等人,2010;Bonk et al., 2013)。尽管多项研究已经证实了使用数据记录仪作为成熟奶牛说谎事件指标的有效性(Ito等人,2009;Ledgerwood et al., 2010;Swartz et al., 2016),据我们所知,只有一项研究(Bonk et al., 2013)验证了这些传感器用于研究荷斯坦小牛的躺卧活动。然而,Bonk等人(2013)的研究是在德国进行的,这个国家的环境条件与波多黎各非常不同(分别是温带和热带天气)。因此,虽然他们的数据记录仪的验证在评估其他国家类似行为时可能非常有用,但他们的结果可能无法直接推断波多黎各的环境条件。由于波多黎各位于热带地区,其高相对湿度和环境温度的慢性性质(Daly et al., 2003;PRCCC, 2013)可导致奶牛热应激(West, 2003;陈等人,2013)。由于荷斯坦牛是岛上最常见的奶牛品种(cort等人,2010年),高度适应温带气候(Javed等人,2004年),这一问题更加严重。这一点很重要,因为据报道,热应激会显著影响牛的行为,包括它们的躺卧和站立模式(sch等人,2010;Chen et al., 2013;波尔斯基和冯·凯泽
EVALUATION OF A COMMERCIAL ACCELEROMETER FOR REMOTE MONITORING OF LYING AND STANDING EVENTS IN DAIRY CALVES IN PUERTO RICO
Behavior monitoring provides important information about the impact of environment (Bonk et al., 2013), food (DeVries et al., 2003; González et al., 2008; Nielsen, 2013; RayasAmor et al., 2017) and water intake (Lukas et al., 2008; McDonald et al., 2019), welfare (Müller and Schrader, 2003), health (González et al., 2008; Lukas et al., 2008) and comfort status (Lomb et al., 2018) on dairy cattle. Thus, two methods have been commonly used to evaluate animal behavior for scientific research: direct visual observations and video footage analysis (Nielsen et al., 2010). However, both monitoring systems are time consuming (Ledgerwood et al., 2010; Bonk et al., 2013; Nielsen, 2013) and labor consuming (Ito et al., 2009; Ledgerwood et al., 2010), which limits considerably their feasibility. For these reasons livestock research has incorporated automated tools, such as data loggers, to remotely monitor animal behavior (Ledgerwood et al., 2010; Bonk et al., 2013). Even though multiple studies have confirmed the effectiveness of using data loggers as indicators for lying events in mature dairy cows (Ito et al., 2009; Ledgerwood et al., 2010; Swartz et al., 2016), to our knowledge there is only one study (Bonk et al., 2013) that has validated these sensors for the study of lying activity in Holstein calves. However, the Bonk et al. (2013) study was performed in Germany, a country with very different environmental conditions than Puerto Rico (temperate vs. tropical weather, respectively). Thus, although their data loggers’ validation may be highly useful as a guide when evaluating similar behavior in other countries, their results may not be directly extrapolated to Puerto Rico’s environmental conditions. Since Puerto Rico is located in the tropical region, the chronic nature of its high relative humidity and environmental temperature (Daly et al., 2003; PRCCC, 2013) can lead to heat stress in dairy cattle (West, 2003; Chen et al., 2013). This problem is exacerbated because Holstein cattle, the most common dairy breed on the island (Cortés et al., 2010), are highly adapted to temperate climates (Javed et al., 2004). This is important because heat stress has been reported to significantly affect cattle behavior, including their lying and standing patterns (Schütz et al., 2010; Chen et al., 2013; Polsky and von Keyser-
期刊介绍:
The Journal of Agriculture of the University of Puerto Rico issued biannually by the Agricultural Experiment Station of the University of Puerto Rico, Mayagüez Campus, for the publication of articles and research notes by staff members or others, dealing with scientific agriculture in Puerto Rico and elsewhere in the Caribbean and Latin America.