Publication:
Prevalence and molecular identification of Cryptosporidium infections in goats with different farm management systems in Terengganu

cris.virtual.department#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtual.orcid#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtualsource.department4d2992f3-bb90-4306-8f5c-fc339d5b5cb2
cris.virtualsource.orcid4d2992f3-bb90-4306-8f5c-fc339d5b5cb2
dc.contributor.affiliation#PLACEHOLDER_PARENT_METADATA_VALUE#en_US
dc.contributor.authorNajat Hashim
dc.date.accessioned2024-10-08T07:25:26Z
dc.date.available2024-10-08T07:25:26Z
dc.date.issued2016
dc.description.abstractCryptosporidium are coccidian, obligate intracellular parasites that infect human, livestock animal, domestic pet and wildlife worldwide. Protozoal infections particularly by Cryptosporidium are rampant in human and animal leading to health problem and significant economic losses worldwide. Since there were limited data on the prevalence and no molecular characterization of Cryptosporidium especially in goats in Malaysia, this study were aimed to identify the prevalence of Cryptosporidium in goats from three different farm management systems in Terengganu, Malaysia and to determine the species of Cryptosporidium in goats by using 18S rRNA gene. A total of 478 goat faecal samples were collected from three different farm management systems which comprised a total of six farms in Terengganu from February to November 2015. Cryptosporidium oocysts were identified in preserved faecal sample by using formalin- ether concentration technique and observed under the microscope upon staining with modified Ziehl-Neelsen. Cryptosporidium-positive faecal samples confirmed by modified Ziehl-Neelsen staining were kept in 2.5% potassium dichromate prior to DNA extraction. The samples were screened by nested PCR and genotyped by using 18S rRNA gene. The overall prevalence of Cryptosporidium in this study was 43.3% (207/478) and the highest prevalence of Cryptosporidium was recorded in goats from Farm E with the percentage of 56.7% (34/60). There was a significant difference (p<0.05) in the prevalence rate of Cryptosporidium infections in goats among the six farms in Terengganu. Besides, goats reared under the intensive farm management system gave the highest prevalence of infection (49.6%), followed by extensive farm management system (37.1%) and the lowest was semi-intensive farm management system (32.6%). There was a significant difference (p<0.05) between the prevalence of Cryptosporidium and farm management systems in Terengganu. Besides, the Cryptosporidium species identified in goats was Cryptosporidium parvum. Therefore, it is hoped that this study will provide information on the occurrence of Cryptosporidium infection in goats in Malaysia as well as providing better understanding on the public health significance of cryptosporidiosis in order to plan effective control measures.en_US
dc.description.callnumbert RC 136.5 N162P 2016en_US
dc.description.degreelevelMaster
dc.description.identifierThesis : Prevalence and molecular identification of cryptosporidium infections in goats with different farm management systems in Terengganu /by Najat binti Hashimen_US
dc.description.identityt11100353623NajatHashimen_US
dc.description.kulliyahKulliyyah of Allied Health Sciencesen_US
dc.description.notesThesis (MHSC)--International Islamic University Malaysia, 2016.en_US
dc.description.physicaldescriptionxvi, 83 leaves :ill. ;30cm.en_US
dc.description.programmeMaster of Health Sciences (Biomedical Science)en_US
dc.identifier.urihttps://studentrepo.iium.edu.my/handle/123456789/9164
dc.identifier.urlhttps://lib.iium.edu.my/mom/services/mom/document/getFile/TD76BJ7IXTpXdDipcRXCpGyuW1WYphes20170427151838919
dc.language.isoenen_US
dc.publisherKuantan, Pahang : Kulliyyah of Allied Health Sciences, International Islamic University Malaysia,, 2016
dc.rightsCopyright International Islamic University Malaysia
dc.subject.lcshCryptosporidiosisen_US
dc.subject.lcshCryptosporidiumen_US
dc.titlePrevalence and molecular identification of Cryptosporidium infections in goats with different farm management systems in Terengganuen_US
dc.typeMaster Thesisen_US
dspace.entity.typePublication
oairecerif.author.affiliation#PLACEHOLDER_PARENT_METADATA_VALUE#

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