Changes in Body Weight and Morphometric During Varying Growth Phases of Freshwater Tortoise (Geochelone Nigra) in Intensive Management Practices

Authors

  • J. I. Kperegbeyi Delta State University of Science and Technology, Ozoro, Nigeria.
  • R. Nwadiolu Delta State University of Science and Technology, Ozoro, Nigeria.
  • A. C. A. Ewododhe Delta State University of Science and Technology, Ozoro, Nigeria.
  • O. S. Onwumere-Idolor Delta State University of Science and Technology, Ozoro, Nigeria.
  • D. O. Adaigho Delta State University of Science and Technology, Ozoro, Nigeria.
  • A. P. Samuel Delta State University of Science and Technology, Ozoro, Nigeria.
  • W. Nwankwo Delta State University of Science and Technology, Ozoro, Nigeria.

DOI:

https://doi.org/10.26437/ajar.v10i1.671

Keywords:

Body weight. growth rate. hatchlings. juvenile. morphometric.

Abstract

Purpose: In the Agriculture industry, tortoises may not have a great commercial value compared with chicken and hoofed mammals; nevertheless, they have a substantial economic value for food, medicine, and ecological services. The empirical work was conducted at the Departmental Research Center (DRC), to investigate the impact of growth phases on body weight (BW) and morphometrics of different age groups.

Design/ Methodology/ Approach: Eighty freshwater tortoises of 4 age groups (20 hatchlings, 20 juveniles, 20 sub-adults and 20 adults) were obtained from the Ministry of Forestry and Wildlife in Nigeria. A deep litter housing system was used for the present study. Tortoises were fed with cooked meat, concentrate, fermented cassava, and palm fruits.

Findings: The mean BW ranged from 41.00g - 848.00g. The result revealed that the mean BW of the tortoise value (503g). The Coefficient of Variance (CV) of morphometrics ranged from 9.73% - 15.63%. The straight carapace length (SCL) had a higher CV value (15.63%), followed by plastron length (PL) (12.90%) and least value (9.73%) for carapace width (CW). There was huge difference in all the morphometric except SCL and CW for sub-adult and adults’ tortoises. The result revealed that SCL, CW, PL and plastron width (PW) had distinct differences from BW. The correlation coefficient of BW and morphometric of juvenile growth phase (JGP) and sub-adult phase (SAGP) ranged from (0.326 – 0.964) and (0.275 – 0.953) respectively.

Research Limitation/Implications: This research focused on the availability and sustainability of freshwater tortoises in Nigeria.

Practical Implication: This paper has potential implications for understanding the management and improvement of the freshwater tortoise in Nigeria.

Social Implication: This study will enhance the availability and development of freshwater tortoise for policy-makers in addressing sustainable food security through social, economic and environmental stability for the present and future generations.

Originality/Value: This study is based on the data collected on body weight and morphometric traits during growth phases.

Author Biographies

J. I. Kperegbeyi, Delta State University of Science and Technology, Ozoro, Nigeria.

Dr. James Love Kperegbeyi is a Senior Lecturer with Department of Animal Production, Faculty of Agriculture, Delta State University of Science and Technology, Ozoro, Nigeria.

R. Nwadiolu, Delta State University of Science and Technology, Ozoro, Nigeria.

Dr. Romanus Nwadiolu is Senior Lecturer with Department of Agricultural Economics, Faculty of Agriculture, Delta State University of Science and Technology, Ozoro, Nigeria.

A. C. A. Ewododhe, Delta State University of Science and Technology, Ozoro, Nigeria.

He is a Senior Lecturer with the Department of Agricultural Economics, Faculty of Agriculture, Delta State University of Science and Technology, Ozoro, Nigeria.

O. S. Onwumere-Idolor, Delta State University of Science and Technology, Ozoro, Nigeria.

He is a Senior Lecturer with the Department of Agricultural Economics, Faculty of Agriculture, Delta State University of Science and Technology, Ozoro, Nigeria.

D. O. Adaigho, Delta State University of Science and Technology, Ozoro, Nigeria.

He is a Senior Lecturer with the Department of Agricultural Economics, Faculty of Agriculture, Delta State University of Science and Technology, Ozoro, Nigeria.

A. P. Samuel, Delta State University of Science and Technology, Ozoro, Nigeria.

He is a Senior Lecturer with the Department of Agricultural Economics, Faculty of Agriculture, Delta State University of Science and Technology, Ozoro, Nigeria.

W. Nwankwo, Delta State University of Science and Technology, Ozoro, Nigeria.

He is a Professor with the Faculty of Computing, Delta State University of Science and Technology, Ozoro, Nigeria.

References

Adetunji, C. O., Anani, O. A., Olugbemi, O. T., Hefft, D. I., Wilson, N., & Olayinka, A. S.

(2022). Toward the design of an intelligent system for enhancing salt water shrimp production using fuzzy logic. In AI, Edge and IoT-based Smart Agriculture (pp. 533-541). Academic Press.

Anani, O. A., Adetunji, C. O., Olugbemi, O. T., Hefft, D. I., Wilson, N., & Olayinka, A. S.

(2022). IoT-based monitoring system for freshwater fish farming: Analysis and design. In AI, Edge and IoT-based Smart Agriculture (pp. 505-515). Academic Press.

Atkinson, K. E., Kitchener, A. C., Tobe, S. S., & O’Donoghue, P. (2018). An assessment of

the genetic diversity of the founders of the European captive population of Asian lion (Panthera leo leo), using microsatellite markers and studbook analysis. Mammalian Biology, 88, 138-143.

Codron, D., Holt, S., Wilson, B., & Horwitz, L. K. (2022). Skeletal allometries in the leopard

tortoise (Stigmochelys pardalis): Predicting chelonian body size and mass distributions in archaeozoological assemblages. Quaternary International, 614, 59-72.

De Alcantara, M. S., De Lucena, C. M., De Lucena, R. F. P., & Da Cruz, D. D. (2020).

Ethnobotany and management of Dimorphandra gardneriana in a protected area of Chapada do Araripe Semiarid Ceará, Northeastern Brazil. Environmental management, 65(3), 420-432.

Delta State University of Science and Technology Meteorological Station Report Zonal Office

Ozoro, 2023.

Hurt, C., Kuhajda, B., Harman, A., Ellis, N., & Nalan, M. (2017). Genetic diversity and

population structure in the Barrens Topminnow (Fundulus julisia): implications for conservation and management of a critically endangered species. Conservation genetics, 18, 1347-1358.

Jombart, T., & Collins, C. (2017). A tutorial for Discriminant Analysis of Principal

Components (DAPC) using Adegenet 2.1. 0. Imperial College, London, United Kingdom.

Jombart, T., Devillard, S., & Balloux, F. (2010). Discriminant analysis of principal

components: a new method for the analysis of genetically structured populations. BMC genetics, 11, 1-15.

Laporte, M., Silva Beaudry, C. O., & Angers, B. (2013). Effects of Road Proximity on genetic

diversity and reproductive success of the painted turtle (Chrysemys picta). Conservation Genetics, 14, 21-30.

Macip-Ríos, R., Ontiveros, R., López-Alcaide, S., & Casas-Andreu, G. (2015). The

conservation status of the freshwater and terrestrial turtles of Mexico: a critical review of biodiversity conservation strategies. Revista mexicana de biodiversidad, 86(4), 1048-1057.

Mali, I., Wang, H. H., Grant, W. E., Feldman, M., & Forstner, M. R. (2015). Modeling

commercial freshwater turtle production on US farms for pet and meat markets. PLoS One, 10(9), e0139053.

Malone, E. W., Perkin, J. S., Leckie, B. M., Kulp, M. A., Hurt, C. R., & Walker, D. M. (2018).

Which species, how many, and from where: Integrating habitat suitability, population genomics, and abundance estimates into species reintroduction planning. Global Change Biology, 24(8), 3729-3748.

Mandujano, R. R. C., & Hernandez-Arana, H. A. (2017). Distribution and abundance of the

Central American river turtle, Dermatemys mawii, in southern Quintana Roo, Mexico: Implications for a regional conservation strategy. Journal of Biodiversity & Endangered Species, 5(3), 1-6.

Nijman, V., & Shepherd, C. R. (2015). Analysis of a decade of trade of tortoises and freshwater

turtles in Bangkok, Thailand. Biodiversity and Conservation, 24, 309-318.

Nwankwo, W., Nwankwo, C. P., & Wilfred, A. (2022). Leveraging on Artificial Intelligence

to Accelerate Sustainable Bioeconomy. IUP Journal of Knowledge Management, 20(2).

Nwankwo, W., Olayinka, D. A., & Umezuruike, C. (2019). Boosting self-sufficiency in maize

crop production in Osisioma Ngwa Local Government with Internet of things (IOT)-climate messaging: A model. Available at SSRN 3341619.

Nwankwo, W., & Ukhurebor, K. E. (2021, February). Big data analytics: A single window

IoT-enabled climate variability system for all-year-round vegetable cultivation. In IOP Conference Series: Earth and Environmental Science (Vol. 655, No. 1, p. 012030). IOP Publishing.

Rangel-Mendoza, J. A., Sánchez-González, I. A., López-Luna, M. A., & Weber, M. (2014).

Health and aquatic environment assessment of captive Central American river turtles, Dermatemys mawii, at two farms in Tabasco, Mexico. Chelonian Conservation and Biology, 13(1), 96-109.

Refsnider, J. M., & Janzen, F. J. (2016). Temperature-dependent sex determination under rapid

anthropogenic environmental change: evolution at a turtle’s pace?. Journal of Heredity, 107(1), 61-70.

Shirley, M. H., Villanova, V. L., Vliet, K. A., & Austin, J. D. (2015). Genetic barcoding

facilitates captive and wild management of three cryptic African crocodile species complexes. Animal Conservation, 18(4), 322-330.

Stanford, C. B., Rhodin, A. G., van Dijk, P. P., Horne, B. D., Blanck, T., Goode, E. V., ... &

Walde, A. (2021). Turtles in Trouble: The World's 25+ Most Endangered Tortoises and Freshwater Turtles-2018.

Todd, B. D., Willson, J. D., & Gibbons, J. W. (2010). The global status of reptiles and causes

of their decline. Ecotoxicology of amphibians and reptiles, 47, 67.

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Published

2024-06-22

How to Cite

Kperegbeyi, J. I., Nwadiolu, R., Ewododhe, A. C. A., Onwumere-Idolor, O. S. ., Adaigho, D. O., Samuel, A. P., & Nwankwo, W. (2024). Changes in Body Weight and Morphometric During Varying Growth Phases of Freshwater Tortoise (Geochelone Nigra) in Intensive Management Practices. AFRICAN JOURNAL OF APPLIED RESEARCH, 10(1), 104–116. https://doi.org/10.26437/ajar.v10i1.671

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