Livestock Production System and Their Constraints in West Arsi Zone, Oromia National Regional State, Ethiopia
Yassin Esmael Ahmed,
Beriso Bati Bukul,
Shemalis Gizachew,
Asfew Negase Sanbate
Issue:
Volume 7, Issue 4, December 2019
Pages:
79-84
Received:
14 August 2019
Accepted:
29 September 2019
Published:
12 October 2019
Abstract: A livestock production system is a group of farm operations with approximately the same characteristics of climatic conditions and farming practices. Farm type identification helps to identify area specific problems and give proper technological intervention to address the problems. Therefore, this study was initiated to identify the livestock production systems and their constraints in West Arsi Zone. Both Primary and secondary data collection method was used to collect data. Secondary data was collected from Zone and concerned district offices using checklists. In addition to this, published and unpublished materials are also used as sources of secondary data. Multi-stage sampling technique was employed to select representative districts, kebeles and sample households. Focus group discussion (FGD), key informant interview and household direct interviews by using semi-structured questionnaires are used to collect primary data. A total of 264 sample households are selected to collect primary data. Descriptive statistics was used to analyze the collected data using STATA version 14. The study result identified livestock production system was classified mixed rainfall sufficient (MRS) which cattle, equine and sheep production system dominantly practiced and mixed rainfall deficit (MRD) which goat, beekeeping and backyard poultry production system majorly practiced. The major livestock production constraints like lack of access to credit services, shortage of improved breed, lack of livestock technologies, shortage of feed, disease, and climate change were identified and the possible policy implications were suggested to address the problems.
Abstract: A livestock production system is a group of farm operations with approximately the same characteristics of climatic conditions and farming practices. Farm type identification helps to identify area specific problems and give proper technological intervention to address the problems. Therefore, this study was initiated to identify the livestock prod...
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Computational Analysis of Single Nucleotide Polymorphism (SNPs) in HumanSLC5A1 Gene
Rashid Abualamah Albasheer Abbas,
Afra Mohamed Suliman Albakry,
Mona Abdelrahman Mohamed Khaier,
Hind Abdelaziz Elnasri
Issue:
Volume 7, Issue 4, December 2019
Pages:
85-91
Received:
15 August 2019
Accepted:
8 November 2019
Published:
23 December 2019
Abstract: Glucose galactose malabsorption (GGM) is an autosomal recessive disease manifesting within the first weeks of life. It is characterized by a selective failure to absorb dietary glucose and galactose from the intestine leading to severe life threatening diarrhea and dehydration. Mutations in the Na+/glucose co-transporter gene (SLC5A1 gene) have been determined to be associated with congenital GGM. In this study different computational tools were used to investigate the nsSNPs (Single nucleotide polymorphisms) in the SLC5A1 gene and to determine their effects on the protein function and structure. SLC5A1 gene was investigated in NCBI database and SNPs were analyzed using seven computational software (SIFT, Polyphen-2, PROVEAN, SNPs and GO, PHD-SNPs, I-mutant and MU Pro). The protein structural analysis was done by modeling using Project Hope and Chimera after homology modeling by CPH models 3.2. In addition Gene MANIA software was used to study the association between this gene and related ones. A total of 166 nsSNPs were obtained from the SNPs database in NCBI during 2019. A total of 37 SNP were predicted to be deleterious using SIFT software, while 25 SNPs were predicted to be probably damaging by PolyPhen-2 and 30 SNPs were predicted to be deleterious by PROVEAN. The results of SIFT, PolyPhen-2, PROVEAN, SNPs&GO, PHD-SNP collectively revealed that 16 SNPs were predicted to be highly damaging.
Abstract: Glucose galactose malabsorption (GGM) is an autosomal recessive disease manifesting within the first weeks of life. It is characterized by a selective failure to absorb dietary glucose and galactose from the intestine leading to severe life threatening diarrhea and dehydration. Mutations in the Na+/glucose co-transporter gene (SLC5A1 gene) have bee...
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