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Evaluating the Efficacy of Livamol® ...

Otchere, Emmanuel,

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Evaluating the Efficacy of Livamol® with Bioworma® for Parasite Control and the Use of Drone-Based Imaging to Monitor the Health of Meat Goats /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Evaluating the Efficacy of Livamol® with Bioworma® for Parasite Control and the Use of Drone-Based Imaging to Monitor the Health of Meat Goats // Emmanuel Otchere.
Author:	Otchere, Emmanuel,
Description:	1 electronic resource (110 pages)
Notes:	Source: Masters Abstracts International, Volume: 86-12.
Contained By:	Masters Abstracts International86-12.
Subject:	Agriculture. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=32040659
ISBN:	9798280754706

Evaluating the Efficacy of Livamol® with Bioworma® for Parasite Control and the Use of Drone-Based Imaging to Monitor the Health of Meat Goats /
Otchere, Emmanuel,

Evaluating the Efficacy of Livamol® with Bioworma® for Parasite Control and the Use of Drone-Based Imaging to Monitor the Health of Meat Goats /Emmanuel Otchere. - 1 electronic resource (110 pages)

Source: Masters Abstracts International, Volume: 86-12.

Gastrointestinal nematodes (GINs), particularly Haemonchus contortus, are the most problematic parasite impacting small ruminant production. Due to the widespread misuse and overreliance on traditional anthelmintics, there is rapid development of anthelmintic resistance to all available anthelmintic drug classes. Livamol® with BioWorma®, a product containing the fungus Duddingtonia flagrans, has emerged as a potential alternative strategy to decrease nematode populations. Beyond parasite control, monitoring animal health in large herds remains labor-intensive, often requiring frequent handling and a substantial workforce. With advances in technology, particularly the use of drones, there may be more efficient, non-invasive methods for health surveillance. This study aims to evaluate the efficacy of Livamol® with BioWorma® in reducing larval development in adult meat goats, while simultaneously exploring the potential of drone-based thermal imaging for remote non-invasive health monitoring. Forty-five meat goats (n = 45) were assigned to one of three treatment groups: control (CON), daily Livamol® with BioWorma® supplementation (BIO1), and biweekly Livamol® with BioWorma® supplementation (BIO2), after accounting for initial body weight (BW). Each treatment group consisted of three replicates (n = 3), with five goats per replicate (n = 5) housed on nine pastures and monitored over a 98-day period. Fecal egg count (FEC), larval recovery from coprocultures, FAMACHA© scores, BW, rectal and thermal temperatures, and blood plasma cortisol concentrations were measured every 14 days. The results from the study indicated that there was a treatment by day interaction effect of Livamol® with BioWorma® on FAMACHA© scores and larval counts (P<0.002 and P<0.001, respectively). Data indicated that there was no treatment or treatment by day interaction effect (P>0.05) of Livamol® with BioWorma® on FEC and BW. However, there was an effect (P<0.001) of day on FEC and BW. The regression analysis showed a linear relationship (R² = 0.69) between drone-derived thermal readings and rectal temperatures, with Bland-Altman analysis showing a mean difference of +0.6°F (limits of agreement: −0.8°F to +2.0°F). Plasma cortisol concentrations showed a significant day effect (P < 0.001), with levels declining from Day 0 (28.2 ± 0.4 ng/mL) to Day 56 (14.6 ± 0.4 ng/mL) and Day 98 (14.2 ± 0.4 ng/mL). Under the conditions of these studies, supplementation with Livamol® with BioWorma® may be beneficial in reducing larval development in small ruminants. Furthermore, drone-based thermal imaging represents a non-invasive tool for health monitoring in meat goats, with no adverse impact on animal welfare.

English

ISBN: 9798280754706Subjects--Topical Terms:

518588
Agriculture.
Subjects--Index Terms:

Anthelmintic resistance

Evaluating the Efficacy of Livamol® with Bioworma® for Parasite Control and the Use of Drone-Based Imaging to Monitor the Health of Meat Goats /
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