Diarrhoea associated with gastrointestinal parasites in grazing sheep

2020 ◽  
Vol 282 ◽  
pp. 109139
Author(s):  
Caroline Jacobson ◽  
John WA Larsen ◽  
R. Brown Besier ◽  
Joan B. Lloyd ◽  
Lewis P Kahn
Author(s):  
Kusum Lata ◽  
G. Das ◽  
Nitesh Kumbhakar ◽  
Rupanjali Saiyam

The present study was conducted to investigate the prevalence of gastrointestinal (GI) parasites of goats in and around Jabalpur. During 9 months of study period, out of 1675 faecal sample of goats examined, 1224 (73.07%) were found positive for different gastrointestinal parasites. The maximum prevalence recorded was of Strongyles (61.43%) followed by Coccidia (25.97%), Amphistomes (9.73%), Monieziaexpansa (8.66%), Trichuris spp. (2.03%), Strongyloides spp. (1.79%) and Fasciolagigantica (0.66%). When prevalence was compared in goats maintained at field and farm conditions, significantly higher infection (P>0.01) was observed at farm (85.90%) as compared to field (67.22%) conditions. The prevalence of gastrointestinal parasitism was found higher in adults (73.83%) in comparison to young goats (69.71%). Overall specific species prevalence showed strongyles infection was significantly higher (P>0.01) in adult (64.25%) as compared to young (48.86%) whereas Coccidia and Monieziaexpansa infection was observed significantly high in kids than adult goats. The seasonal prevalence of gastrointestinal parasites was found significantly higher (P>0.01) in Monsoon (81.20%) and post-monsoon (76.66%) as compared to spring and winter seasons.


2007 ◽  
Vol 22 (12) ◽  
pp. 2951-2952 ◽  
Author(s):  
H.K. Mehta ◽  
R.G. Jani ◽  
P.R. Patel ◽  
J.J. Hasnani ◽  
P.V. Patel ◽  
...  

2021 ◽  
Vol 49 (1) ◽  
pp. 30-38
Author(s):  
Géorcelin G. Alowanou ◽  
Adam D. Adenilé ◽  
Guénolé C. Akouèdegni ◽  
Arsène C. Bossou ◽  
Fréjus T. Zinsou ◽  
...  

1979 ◽  
Vol 20 (4) ◽  
pp. 601-603
Author(s):  
Torleiv Løken ◽  
Martha J. Ulvund ◽  
Torgeir Våg
Keyword(s):  

Author(s):  
Joshua Kamani ◽  
Luca Massetti ◽  
Toyin Olubade ◽  
Jimmy A. Balami ◽  
Kennedy M. Samdi ◽  
...  

2020 ◽  
Author(s):  
Ihsan Mahdi Al-Saqur ◽  
Harith Saeed Al-Warid ◽  
Amjed Qays Al-Qaisi ◽  
Hussin Salman Al-Bahadely

Animals ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 155
Author(s):  
Sérgio Ramalho Sousa ◽  
Sofia Anastácio ◽  
Miguel Nóvoa ◽  
Adolfo Paz-Silva ◽  
Luís Manuel Madeira de Carvalho

In Portugal, equine parasitism in pasture animals is characterized by high parasitic burden and high helminthic biodiversity; both factors are potentially pathogenic for their hosts. The decrease in the number of donkeys over the last years in Portugal, their importance in rural lowland and mountain ecosystems and pastures and the scarce information regarding their parasitism led to this research, which aimed to evaluate the parasitological status of a Miranda donkey breed population, a native breed mainly located in the northeast of Portugal. This study provides better knowledge of their gastrointestinal parasitism, particularly strongyles, and the assessment of a targeted selective treatment (TST) as an alternative control approach of their parasitism. A longitudinal observational study was developed during a period of five years in a population of 62 Miranda donkeys. At first, strategic deworming of these animals was performed every semester, but this was progressively replaced by a TST approach according to the levels of Eggs per Gram (EPG). This new deworming strategy was conducted in association with a regular parasitological monitoring of the animals every three months, being dewormed with ivermectin when egg shedding was higher than 500 EPG. Over the study period, a decrease of the annual prevalence rate of infection by gastrointestinal strongyles was observed, from 35.5% to 19.4%, as well as a negative binomial distribution of parasitic strongyles in donkeys submitted to selective anthelminthic control. The prevalence rate of infection was higher in females (39.5%), in individuals under four years (46.7%) and in those presenting a lower body condition (40.8%). The egg output was higher in animals younger than four years (589.3 EPG) than in those older than 10 years (533.6 EPG) (p < 0.05). However, no differences were observed according to sex during the study period. Results from this study allowed to note the influence of swampy pastures and of the weather changes in the epidemiology of strongylosis in Miranda donkeys. Moreover, it was possible to establish the annual epidemiological curve of strongyle egg shedding, with June being the month with the highest EPG, December having the lowest EPG and March and September showing intermediate numbers. Overall, a lower biodiversity of gastrointestinal parasites was observed. Cyathostomum sensu lato was the most prevalent genus and Strongylus vulgaris was the most observed large strongyle of the Strongylidae family. Trichostrongylus axei and Parascaris sp. were other nematodes with a minor frequency. The higher prevalence of strongyles at the beginning of the study showed a progressive decrease throughout the research period, and also for parasite biodiversity. Therefore, a targeted selective treatment seems to be a rational anthelminthic control approach in Miranda donkey strongyle infection and in other gastrointestinal parasites, since it reduces the antiparasitic treatments, the parasite’ prevalence and the EPG level. However, a loss of parasite biodiversity was noted at the end of the study period, as Cyathostominae were the only isolated strongyles. This can be a challenging situation in the long run, taking the ability of these nematodes to adapt easily to any deworming program, meaning that fecal EPG monitoring should be kept as a rule to a rational parasite control program.


Animals ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 303
Author(s):  
Eloise S. Fogarty ◽  
David L. Swain ◽  
Greg M. Cronin ◽  
Luis E. Moraes ◽  
Derek W. Bailey ◽  
...  

In the current study, a simulated online parturition detection model is developed and reported. Using a machine learning (ML)-based approach, the model incorporates data from Global Navigation Satellite System (GNSS) tracking collars, accelerometer ear tags and local weather data, with the aim of detecting parturition events in pasture-based sheep. The specific objectives were two-fold: (i) determine which sensor systems and features provide the most useful information for lambing detection; (ii) evaluate how these data might be integrated using ML classification to alert to a parturition event as it occurs. Two independent field trials were conducted during the 2017 and 2018 lambing seasons in New Zealand, with the data from each used for ML training and independent validation, respectively. Based on objective (i), four features were identified as exerting the greatest importance for lambing detection: mean distance to peers (MDP), MDP compared to the flock mean (MDP.Mean), closest peer (CP) and posture change (PC). Using these four features, the final ML was able to detect 27% and 55% of lambing events within ±3 h of birth with no prior false positives. If the model sensitivity was manipulated such that earlier false positives were permissible, this detection increased to 91% and 82% depending on the requirement for a single alert, or two consecutive alerts occurring. To identify the potential causes of model failure, the data of three animals were investigated further. Lambing detection appeared to rely on increased social isolation behaviour in addition to increased PC behaviour. The results of the study support the use of integrated sensor data for ML-based detection of parturition events in grazing sheep. This is the first known application of ML classification for the detection of lambing in pasture-based sheep. Application of this knowledge could have significant impacts on the ability to remotely monitor animals in commercial situations, with a logical extension of the information for remote monitoring of animal welfare.


Sign in / Sign up

Export Citation Format

Share Document