Eye-lens weight curve for estimation of age in rats, Rattus rattus brunneus and Bandicota bengalensis in Nepal.

Shrestha, Poorna D. D.; Yabe, Tatsuo; Kusano, Tyuzi

doi:10.3106/mammalstudy.27.87

Cited by 1 publication

(4 citation statements)

References 6 publications

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“…We did not detect a significant difference in ELW between males and females. These data are consistent with Williams (1976) and Shrestha et al (2002), who did not detect a difference in ELW based on sex for other Rattus species, such as Rattus exulans Peale and Rattus brunneus Hodgs, respectively. The latter species is currently regarded as a Rattus tanezumi synonym (Wilson and Reeder 2005).…”

Section: Predictive Modelling a Compromise Between Parsimony Accurasupporting

confidence: 91%

“…The head and left leg were severed for further dissection, boiled in an autoclave at 121°C for 30 min, and then submerged in water for 1 week to ease bone and flesh separation. For eye lens processing, various similar techniques are described in the literature (Poulet 1980, Rowe et al 1985, Shrestha et al 2002, Jánová et al 2007, and as noted by Lalis et al (2006), the accuracy is rarely assessed. We adapted the protocol to tropical conditions.…”

Section: Species Identification and Osteometric Measurementsmentioning

confidence: 99%

“…Age prediction is more accurate in younger animals ( Tanikawa 1993, Shrestha et al 2002. William (1976) found that the ELW was only a useful indicator of Rattus exulans age for up to 3 or 4 months.…”

Section: Model Limits and Extrapolationmentioning

confidence: 99%

“…Eye lens growth patterns from known-age individuals bred in a laboratory have primarily been investigated using vole and mice (Rowe et al 1985, Yabe andArakawa 2009). A few Rattus species also exhibit a quantitative relationship between age and ELW (Williams 1976, Hardy et al 1983, Tanikawa 1993, Shrestha et al 2002; however, Rattus tiomanicus has not been studied. The eye lens cannot be retrieved from raptor pellets; however, other macroremains can be collected, such as skulls and bones.…”

Section: Introductionmentioning

confidence: 99%

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Relative age determination of Rattus tiomanicus using allometric measurements

Verwilghen¹,

Rabillard

Chaval

et al. 2014

Mammalia

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International audienceFor sustainable oil palm production, barn owl (Tyto alba) predation should be enhanced and monitored to better understand its impact on rodent population dynamics, notably for selective predation based on age or size. Our aim was to assess the best combination of osteometric variables that predict eye lens weight and thus the relative age of an individual Rattus tiomanicus based on pellet remains. We captured 161 individuals in an oil palm plantation in Indonesia and measured 15 osteometric variables for the jaw, skull, and femur. We investigated the variables’ correlations with eye lens weight and estimated the measurement errors. In addition, 120 pellets were collected to assess the frequency of different types of bones. Predictive modelling was then used. We suggest that the model using the femur length would be more appropriate, even if it is slightly less precise than the models that consider the skull and jaw variables. The femur was well represented in the pellet sample, its length highly correlated with the eye lens weight, with a low measurement error. Our study demonstrates the utility of femur length for age prediction in prey from macroremains in oil palm plantations, wherein most pellets are headless and R. tiomanicus is the dominant prey

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Section: Predictive Modelling a Compromise Between Parsimony Accurasupporting

confidence: 91%

Section: Species Identification and Osteometric Measurementsmentioning

confidence: 99%

Section: Model Limits and Extrapolationmentioning

confidence: 99%