Amino acid digestibility of animal protein ingredients for bullfrogs in different phases of post-metamorphic development

Mansano, Cleber Fernando Menegasso; Macente, Beatrice Ingrid; Nascimento, Thiago Matias Torres do; Pereira, Marcelo Maia; Takahashi, Leonardo Susumu; Stéfani, Marta Verardino De

doi:10.1111/are.13302

Cited by 4 publications

(3 citation statements)

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“…Animal growth is associated with genetics, biotype, race, weight, age, and body state. However, culture management and nutrition supply are also the key factors in frog culture ( Mansano et al, 2017b ; Olvera-Novoa, Ontiveros-Escutia & Flores-Nava, 2007 ). Modelling animal growth curves is necessary for optimizing the management and efficiency of animal production ( Köhn, Sharifi & Simianer, 2007 ), and growth modelling provides many benefits for frog production.…”

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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“…In raniculture, commercial feed is usually used for carnivorous fish with average levels of 45% crude protein [42]. In addition to the increase in the amount of feed offered according to the growth of the animals, there is also a change in the use of this feed in each developmental stage of the animal [43]. The bullfrog produced in "anfigranja system" presents low protein efficiency of the commercial diet elaborated based on the requirements of carnivorous fish, which is used for feeding in most Brazilian ranicultures [44].…”

Section: Qualitative and Microbiological Characteristics Of Ranicultumentioning

confidence: 99%

Importance of Optimum Water Quality Indices in Successful Frog Culture Practices

Mansano¹,

Vanzela²,

Américo-Pinheiro³

et al. 2019

Limnology - Some New Aspects of Inland Water Ecology

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The optimum quality of water indices is extremely important for successful frog culture. Frogs excrete their excreta and skin debris in water. Therefore, it is necessary to regularly renew the water and clean the tanks and bays of rearing systems. Such care is necessary for the prevention and prophylaxis of diseases, which may cause severe mortalities. Bullfrogs need water of good physical and chemical quality, and thus, water quality indices must be measured before starting a breeding and rearing program. Additionally, the producers should have a good knowledge about the water quality before establishing a rearing system. Aquatic ecosystems are dynamic and even in small rearing water tanks, physical and chemical parameters are interrelated. For example, any change in dissolved oxygen level depends on the water temperature and atmospheric pressure. The dissolved oxygen level is almost 9.08 mg L −1 near sea side at a temperature of 20°C, whereas its concentration rises up to 10.07 mg L −1 , if the temperature drops to 15°C, indicating that dissolved oxygen and water temperature are closely interrelated. Thus, physical and chemical parameters of water should be considered and analyzed together because all of these factors have a direct impact on the culture systems.

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“…Animal growth is associated with genetics, biotype, race, weight, age, and body state. However, culture management and nutrition supply are also the key factors in frog culture (Mansano et al 2017b;Olvera-Novoa et al 2007). Modelling animal growth curves is necessary for optimizing the management and efficiency of animal production (Köhn et al 2007), and growth modelling provides many benefits for frog production.…”

Section: Growth Of the Brown Frogsmentioning

confidence: 99%

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

Amino acid digestibility of animal protein ingredients for bullfrogs in different phases of post-metamorphic development

Cited by 4 publications

References 46 publications

Modelling the growth of the brown frog (Rana dybowskii)

Modelling the growth of the brown frog (Rana dybowskii)

Importance of Optimum Water Quality Indices in Successful Frog Culture Practices

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

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