Affiliations 

  • 1 Department of Wildlife and National Park Peninsular Malaysia, KM10, Jalan Cheras, 56100, Kuala Lumpur, Malaysia
  • 2 Department of Applied Statistics, Faculty of Economics and Administration, University of Malaya, 50603, Kuala Lumpur, Malaysia
  • 3 Veterinary Department, Zoo Negara Malaysia, Hulu Kelang, 68000, Ampang, Selangor, Malaysia
  • 4 China Conservation and Research Center for the Giant Panda, Dujiangyen, China
  • 5 Center of Matriculation Science, University of Malaya, 50603, Kuala Lumpur, Malaysia
  • 6 Institute of Tropical Biodiversity and Sustainable Development, Universiti Malaysia Terengganu, 21030, Kuala Nerus, Malaysia
  • 7 Faculty of Ocean Engineering Technology and Informatics, Universiti Malaysia Terengganu, 21030, Kuala Nerus, Terengganu, Malaysia
Data Brief, 2020 Apr;29:105082.
PMID: 31993462 DOI: 10.1016/j.dib.2019.105082

Abstract

In this data article we present the determinations of the diet preference and growth of a pair of the giant panda, Ailuropoda melanoleuca (David, 1869) from Zoo Negara Malaysia. Once considered as endangered, the captive giant pandas were given with nine species of local bamboo in separate indoor enclosures. We recorded data between May 25, 2014 and December 31, 2016 and analysed it based on food preference, the pattern toward food consumption and body weights using SPSS v25.0 (IBM, USA). Data on the bamboo preference, daily average bamboo provided and consumed, and factors predicting of body weight per individual are reported in this article. The data highlight correlation between panda growth (kg) to the part of bamboo consumed (kg) and exhibit the pattern of preferred part of food (i.e.: either the leaf, culm or shoots of bamboo variety) for panda consumptions. The food consumption toward the body weight was modelled using logistic regression analysis to help determine the pattern of food consumption and body weight of giant panda in the future and based on regression model 1, only consumed variable is significance to the model.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.