Honamlı keçi ırkında Caprine Arthritis Encephalitis Virus (CAEV) enfeksiyonunun araştırılması

Kale, Mehmet

doi:10.24880/maeuvfd.682590

Cited by 4 publications

(2 citation statements)

References 10 publications

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“…Despite the high adaptability of the Hair goats, they are not preffered by small ruminant breeders (i.e., sheep and goats) due to low pro tability. (Taskaya and Kale, 2020). Scienti c data are important to solve the problems of the hair goat, which is widely grown.…”

Section: Introductionmentioning

confidence: 99%

“…Honamli goats have been purely bred for centuries in the Central and Western Taurus Mountains by the Honamli Yoruk tribes (Karadag and Soysal, 2018). The lack of scienti c research on the gene resources of the Honamli race until this time is possibly due to continuous migration of the Turkish Yoruks (nomads) (Taskaya and Kale, 2020). Honamli goat, which is de ned as a new breed by animal genetic resources, was taken under protection by the General Directorate of Agricultural Research and Policies in 2015 (Sozuer, 2019).…”

Section: Introductionmentioning

confidence: 99%

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Phenotypic Characterization of Hair and Honamli Goats by Using Classification Trees Algorithms and Multivariate Adaptive Regression Splines (Mars)

Altay

2021

Preprint

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In order to meet the food demand of the increasing world population, it is very important to define the animal breeds and species raised in tropical and subtropical regions and to organize breeding programs for this. Discrimination animal breeds by morphological classification are a widely used method for a century. Although Honamli and Hair goats are very similar to each other morphologically, they can be subjectively distinguished by experienced breeders with some distinctive morphological markers. In the current study, certain body characteristics of Hair goats, which have a large portion of the population in Turkey, and Honamli goat, which has recently been registered as a new breed were used. Phenotypic characterization of these breeds has been made using data mining methods such as Classification and regression tree (CART), chi-square automatic interaction detector (CHAID), Exhaustive CHAID, Quick Unbiased, Efficient Statistical Tree, (QUEST), and multivariate adaptive regression splines (MARS) algorithms. In other words, the current study is the first data mining algorithms used for phenotypic characterization in Hair and Honamli goat breeds. Goats’ morphological characteristics such as live weight (LW), withers height (WH), back height (BH), rump height (RH), chest Depth (CD), body length (BL), chest girth (CG), leg girth (LG), head length (HL), fore head (FH), ear length (EL), and tail length (TL), used in diagnosis of discrimination on breeds, were used as a binary response variable in Honamli and Hair breeds. Here, the independent variables used in data mining algorithms are the morphological characteristics of goats. CHAID, Exhaustive CHAID, CART, QUEST, and MARS were used as data mining algorithms to make an accurate decision in detecting effective morphological traits in breed discrimination. The success of the CHAID, Exhaustive CHAID, CART, QUEST and MARS algorithms in breed discrimination is 87.80%, 85.80%, 87.80%, 77.00%, and 88.51%, respectively, while the area under the ROC curve is 0.880, 0.853, 0.868, 0.784 and 0.942, respectively. As a result, using data mining methods for some body measurements of Honamli and Hair goats, whose morphological distinction is not exactly accurate, phenotype characterization separation was performed with high success in MARS and CHAID algorithms compared with the other methods. The outputs of this study can be used for breeding material by enabling pure Honamli goat breeding. Also, data mining algorithms can be included in gene resource conservation programs.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Phenotypic Characterization of Hair and Honamli Goats by Using Classification Trees Algorithms and Multivariate Adaptive Regression Splines (Mars)

Altay

2021

Preprint

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High positivity rate of caprine arthritis encephalitis virus in Luzon, the Philippines revealed by nested-polymerase chain reaction assay

Tubalinal,

Belotindos,

Mingala

2024

VirusDis.

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First study on the molecular prevalence of caprine arthritis encephalitis virus in goats in Babylon, Iraq

2022

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Background and Aim: Caprine arthritis encephalitis virus (CAEV) is a virus that affects goats all over the world and causes enormous economic losses; as a result, screening for the disease is a priority, especially in Iraq. The present study aimed to estimate the prevalence of CAEV in infected goats using the précised PCR method in Babylon, Iraq. Materials and Methods: A total of 85 blood samples from goats aged 1 month to ≥6 years were analyzed for CAEV infections using molecular methods. The polymerase chain reaction primer was designed to amplify a 573 bp region of the proviral pol gene. Results: The CAEV tests revealed that five out of 85 goats were positive for CAEV. There were no significant differences in CAEV infection according to goat sex and significant differences according to age. Conclusion: Based on these results, the present study is the first molecular survey to confirm the current CAEV genome in an Iraqi goat flock.

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Honamlı keçi ırkında Caprine Arthritis Encephalitis Virus (CAEV) enfeksiyonunun araştırılması

Cited by 4 publications

References 10 publications

Phenotypic Characterization of Hair and Honamli Goats by Using Classification Trees Algorithms and Multivariate Adaptive Regression Splines (Mars)

Phenotypic Characterization of Hair and Honamli Goats by Using Classification Trees Algorithms and Multivariate Adaptive Regression Splines (Mars)

High positivity rate of caprine arthritis encephalitis virus in Luzon, the Philippines revealed by nested-polymerase chain reaction assay

First study on the molecular prevalence of caprine arthritis encephalitis virus in goats in Babylon, Iraq

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