van der Meijden Arie, González-Gómez Julio César, Pulido-Osorio María D, Herrel Anthony
BIOPOLIS, CIBIO/InBio, Rua Padre Armando Quintas 7, 4485-661 Vairão, Portugal.
Grupo de Investigación Biología y Ecología de Artrópodos (BEA), Corporación Huiltur, Neiva 410005, Colombia.
J Exp Biol. 2023 Apr 1;226(7). doi: 10.1242/jeb.245255. Epub 2023 Apr 4.
Bite force is a key performance trait of the feeding system, but maximal in vivo bite force has been measured in few large mammals. The alternative, modelling of bite force from anatomy, cannot be validated without in vivo measurements. To overcome existing limitations of ethics, safety and animal well-being, we propose a semi-automated method to obtain voluntary maximum bite forces from large mammals using bite plates that automatically dispense a food reward if an incrementally increasing threshold force value is reached. We validated our method using two Malayan sun bears, two Andean spectacled bears and a lioness. We show that voluntary bite force measurement using positive reinforcement is a non-invasive and reliable method to record maximum voluntary bite force performance in large mammals. Our results further show that in vivo data are critical as modeling efforts from osteology have greatly underestimated bite forces in Andean spectacled bears.
咬合力是进食系统的一项关键性能特征,但在大型哺乳动物中,体内最大咬合力仅在少数物种中得到过测量。另一种方法是根据解剖结构对咬合力进行建模,但如果没有体内测量数据,这种方法就无法得到验证。为了克服现有伦理、安全和动物福祉方面的限制,我们提出了一种半自动方法,通过咬板从大型哺乳动物中获取自愿产生的最大咬合力。如果达到逐渐增加的阈值力值,咬板会自动发放食物奖励。我们使用两只马来貘、两只安第斯眼镜熊和一只母狮对我们的方法进行了验证。我们表明,使用正向强化来测量自愿咬合力是一种记录大型哺乳动物最大自愿咬合力表现的非侵入性且可靠的方法。我们的结果进一步表明,体内数据至关重要,因为基于骨骼学的建模研究大大低估了安第斯眼镜熊的咬合力。