Browsing by Author "Villacis Porras, Yajayra Nicole"

Now showing 1 - 1 of 1
  • Thumbnail Image
    Item
    Prevalencia de micoplasmosis en cerdos de traspatio en los cantones Latacunga y Saquisili
    (Ecuador: Latacunga: Universidad Técnica de Cotopaxi (UTC)., 2024-08) Astudillo García, Wendy Nayeli; Villacis Porras, Yajayra Nicole; Chacón Marcheco, Edilberto
    It is mentioned that the pig population in Ecuador is 1.0 million, being the second that predominates nationally, the 584,441 million are of breed, 207,493 Creole and 192,065 mestizo distributed in the three different regions of the country: Coastal, Highland and Amazon. This enzootic porcine disease is caused by an agent called Mycomplasma hyopneumoniae, a chronic disease of mandatory declaration that spreads in pigs affecting the respiratory tract causing mainly pneumonia in pigs, affecting different ages and sex, which has generated large economic losses in small, medium and large producers, pig farms or backyard pigs. This disease is usually located around other pigs who are contaminated, causing a great economic impact on producers and considerable. The objective of the research was to determine the prevalence of Mycoplasma hyopneumoniae in backyard pigs in the parishes of the cantons of Latacunga and Saquisilí, province of Cotopaxi. The competitive ELISA test was used to examine the blood serum of 184 randomly selected pigs, which were distributed in the rural parishes of the two cantons. The prevalence was calculated by parish church of the cantons of Latacunga and Saquisilí. The number of positive cases was divided by the total number of samples collected. Therefore, the prevalence obtained in the rural parishes of the canton of Latacunga is 41.01% with 57 positive cases, being San Juan de Pastocalle the parish with the highest distribution of the disease, while in the canton of Saquisilí 22 positive cases were identified with a prevalence of 48.88%, being the parish of Chantilín the one with the highest distribution of the disease. The study variables such as age and sex showed that there is no dependence for the disease. The epidemiological map made it possible to observe the geographical areas in which there are positive cases.