Nonlinear models for morphometric analysis in Bullfrog Tadpoles

Mansano, Cleber Fernando Menegasso; Pereira, Marcelo Maia; Peruzzi, Nelson José; Macente, Beatrice Ingrid; Stéfani, Marta Verardino De

doi:10.1590/s1519-99402016000200015

Cited by 2 publications

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“… Pereira et al (2014) tested Gompertz and logistic models for captive bullfrogs during the fattening phase (the terrestrial phase). In the aquatic phase, different models were applied for evaluation and simulation of bullfrog tadpole growth ( Mansano et al, 2012 , 2016 ). Monitoring the growth and development of brown frogs is essential to better understand the general relationship between production and management on frog farms ( Pereira et al, 2014 ) as well as the relationships between growth and age or growth and feeding over time.…”

Section: Discussionmentioning

confidence: 99%

Modelling the growth of the brown frog (Rana dybowskii)

Tong

et al. 2018

PeerJ

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Well-controlled development leads to uniform body size and a better growth rate; therefore, the ability to determine the growth rate of frogs and their period of sexual maturity is essential for producing healthy, high-quality descendant frogs. To establish a working model that can best predict the growth performance of frogs, the present study examined the growth of one-year-old and two-year-old brown frogs (Rana dybowskii) from metamorphosis to hibernation (18 weeks) and out-hibernation to hibernation (20 weeks) under the same environmental conditions. Brown frog growth was studied and mathematically modelled using various nonlinear, linear, and polynomial functions. The model input values were statistically evaluated using parameters such as the Akaike’s information criterion. The body weight/size ratio (Kwl) and Fulton’s condition factor (K) were used to compare the weight and size of groups of frogs during the growth period. The results showed that the third- and fourth-order polynomial models provided the most consistent predictions of body weight for age 1 and age 2 brown frogs, respectively. Both the Gompertz and third-order polynomial models yielded similarly adequate results for the body size of age 1 brown frogs, while the Janoschek model produced a similarly adequate result for the body size of age 2 brown frogs. The Brody and Janoschek models yielded the highest and lowest estimates of asymptotic weight, respectively, for the body weights of all frogs. The Kwl value of all frogs increased from 0.40 to 3.18. The K value of age 1 frogs decreased from 23.81 to 9.45 in the first four weeks. The K value of age 2 frogs remained close to 10. Graphically, a sigmoidal trend was observed for body weight and body size with increasing age. The results of this study will be useful not only for amphibian research but also for frog farming management strategies and decisions.

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Section: Discussionmentioning

confidence: 99%

Modelling the growth of the brown frog (Rana dybowskii)

Tong

et al. 2018

PeerJ

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“…Pereira et al tested Gompertz and logistic models for captive bullfrogs during the fattening phase (the terrestrial phase)(Pereira et al 2014). In the aquatic phase, different models were applied for evaluation and simulation of bullfrog tadpole growth(Mansano et al 2016;Mansano et al 2012). Monitoring the growth and development of brown frogs is essential to better understand the general relationship between production and management on frog farms(Pereira et al 2014) as well as the relationships between growth and age or growth and feeding over time.PeerJ reviewing PDF | (2017:11:21970:2:1:CHECK 16 Mar 2018)…”

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Peer Review #2 of "Modelling the growth of the brown frog (Rana dybowskii) (v0.1)"

2018

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Well-controlled development leads to uniform body size and a better growth rate; therefore, the ability to determine the growth rate of frogs and their period of sexual maturity is essential for producing healthy, high-quality descendant frogs. To establish a working model that can best predict the growth performance of frogs, the present study examined the growth of one-year-old and two-year-old brown frogs (Rana dybowskii) from metamorphosis to hibernation (18 weeks) and out-hibernation to hibernation (20 weeks) under the same environmental conditions. Brown frog growth was studied and mathematically modelled using various nonlinear, linear, and polynomial functions. The model input values were statistically evaluated using parameters such as the Akaike's information criterion (AIC). The body weight/size ratio (K wl) and Fulton's condition factor (K) were used to compare the weight and size of groups of frogs during the growth period. The results showed that the third-and fourth-order polynomial models provided the most consistent predictions of body weight for age 1 and age 2 brown frogs, respectively. Both the Gompertz and third-order polynomial models yielded similarly adequate results for the body size of age 1 brown frogs, while the Janoschek model produced a similarly adequate result for the body size of age 2 brown frogs. The Brody and Janoschek models yielded the highest and lowest estimates of asymptotic weight, respectively, for the body weights of all frogs. The K wl value of all frogs increased from 0.40 to 3.18. The K value of age 1 frogs decreased from 23.81 to 9.45 in the first 4 weeks. The K value of age 2 frogs remained close to 10. Graphically, a sigmoidal trend was observed for body weight and body size with increasing age. The results of this study will be useful not only for amphibian research but also for frog farming management strategies and decisions.

show abstract

Nonlinear models for morphometric analysis in Bullfrog Tadpoles

Cited by 2 publications

References 24 publications

Modelling the growth of the brown frog (Rana dybowskii)

Modelling the growth of the brown frog (Rana dybowskii)

Peer Review #2 of "Modelling the growth of the brown frog (Rana dybowskii) (v0.1)"

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