Factors affecting the prevalence of endoparasites in pre-weaning calves in a warm humid climate of Mexico
Online veröffentlicht: 24. Mai 2025
Seitenbereich: 30 - 39
Eingereicht: 28. Jan. 2025
Akzeptiert: 26. Feb. 2025
DOI: https://doi.org/10.2478/helm-2025-0003
Schlüsselwörter
© 2025 C. Y. León-González et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Mexico ranks eighth in cattle production, with a territory of 196.4 million hectares, approximately 56 % of which is dedicated to livestock production (Parra-Bracamonte
Although Mexico has a strong livestock vocation, several challenges hinder the profitable production of beef, including reproductive, nutritional, social, and health-related issues. Among these, parasitism is particularly significant in warm climates, where its main impact is on young animals. These animals are more susceptible to parasitic infections than older animals, which develop immunity after continuous or seasonal exposure (Palkumbura
The primary method of controlling GIN has been the use of broad-spectrum anthelmintics, which were initially highly effective and had wide safety margins. Producers have relied heavily on these treatments to manage GIN (Rose-Vineer
The study was conducted in northern Chiapas, Teapa, Tabasco, and Escárcega, Campeche, Mexico. Samples were analyzed in the Animal Parasitology Laboratory of the Southeastern Regional University Unit (URUSSE) at the Autonomous University of Chapingo (UACh). The region's climate is warm and humid, with an average annual rainfall of 3,000 to 3,816 mm and an average temperature of 26°C (CONAGUA, 2021).
A total of twelve farms were visited, of which three were monitored monthly during the rainy season to determine gastrointestinal parasites in 2022 and only one farm in 2023. To determine the prevalence of nematodes and trematodes (
To know the population dynamics of nematodes. On one farm (DNT), a group of 28 suckling calves aged 1 to 2 months was selected and divided into two treatment groups, each with 14 animals. Treatment 1 involved natural infection with deworming. Anthelmintic treatment was administered three times during the study period using a commercial product containing triclabendazole, albendazole, and ivermectin at a dosage of 7.5 mg/kg of live weight. Treatment 2 consisted of naturally infected calves that did not receive anthelmintic treatment. Nine fecal samples were collected directly from each animal at 21-day intervals.
Trematode eggs were identified using the methylene blue sedimentation technique. For this, 5 g of fecal sample was weighed and dissolved in running water in a 250-mL container. The sample was washed three times, allowing it to settle for 5 minutes between each wash. After the third wash, the volume was adjusted to 100 mL, and two drops of methylene blue were added. Using a Pasteur pipette, the reading chamber was filled and analyzed under an optical microscope at 4× magnification. The results were multiplied by four to calculate the total number of trematode EPG. Nematode and cestode eggs were identified through fecal flotation. For this procedure, 2 g of feces were weighed and macerated with 28 mL of saturated sodium chloride solution (density = 1.20). The mixture was used to fill the McMaster chamber using a Pasteur pipette, and the sample was examined under a compound optical microscope at 10× magnification. The EPG was calculated by multiplying the observed count by 50 (Thienpont
For L3 identification, some larvae were placed on a glass microscope slide and stained with Lugol's iodine to aid in visualization. In total, 100 larvae per sample were characterized and identified to estimate the proportion of each genus. Morphological identification was based on features such as the shape of the cranial extremity, the presence of refractile bodies (
Using the data obtained from coprocultures and the identification of eggs observed during fecal examinations, the prevalence for each species or genus was determined. Prevalence was calculated using the following formula, and the results were expressed as percentages:
The variables recorded were binomial type to determine the prevalence and discrete type in the fecal egg count (FEC), so for the analysis the variable was transformed to LOG (EPG+1) to reduce variance heterogeneity and approximate a normal distribution (Rodríguez
The study protocol No 24027-C-67 was approved by the General Directorate of Research and Postgraduate Studies of the Autonomous University of Chapingo. Following the Mexican official standard NOM-051-ZOO-1995 for humane treatment in the mobilization of animals.
The prevalence of
Prevalence of trematodes (
Farm 1 DNA | May-22 | Lactating cows | 25.8 % (8/31) | 22.6 % (7/31) |
Salto de Agua, Chiapas | June-22 | Lactating cows | 50.0 % (13/26) | 15.4 % (4/26) |
August-22 | Lactating cows | 0.0 % (0/39) | 41.0 % (16/39) | |
Farm 2 DRG | May-22 | Calves | 0.0 % (0/17) | 70.6 % (12/17) |
Salto de Agua Chiapas | June-22 | Calves | 0.0 % (0/17) | 0.0 % (0/17) |
August-22 | Lactating cows | 20.0 % (7/35) | 48.6 % (17/35) | |
September-22 | Lactating cows | 0.0 % (0/11) | 0.0 % (0/11) | |
Farm 4 DNT | August-23 | Calves | 4.2 % (1/24) | 0.0 % (0/24) |
Salto de Agua, Chiapas | September-23 | Calves | 4.0 % (2/50) | 0.0 % (0/50) |
October-23 | Calves | 9.8 % (4/41) | 7.3 % (3/41) | |
November-23 | Calves | 0.0 % (0/25) | 4.0 % (1/25) | |
December-23 | Calves | 4.2 % (1/24) | 0.0 % (0/24) | |
Farm 5 Rita | July-23 | Lactating cows | 28.6 % (4/14) | 28.6 % (4/14) |
Farm 6 Frank | August-23 | Lactating cows | 3.4 % (1/29) | 0.0 % (0/29) |
Farm 7 JSalv | September-23 | Lactating cows | 0.0 % (0/51) | 2.0 % (1/51) |
Farm 8 PNR2 | October-23 | Lactating cows | 10.3 % (7/68) | 13.2 % (9/68) |
Farm 9 RNat | November-23 | Lactating cows | 40.6 % (13/32) | 56.3 % (18/32) |
Farm 10 RNat2 | November-23 | Lactating cows | 26.7 % (12/45) | 35.6 % (16/45) |
Farm 11 R1CM | November-23 | Lactating cows | 10.0 % (3/30) | 33.3 % (10/30) |
Farm 12 R2CM | November-23 | Lactating cows | 3.2 % (1/31) | 41.9 % (13/31) |
Total | 12 % (77/640) | 20.5 % (131/640) |
Farms 5–10. Pueblo Nuevo, Chiapas. Farms 11–12. Escárcega, Campeche.
The prevalence of the family Trichostrongylidae exceeded 30 % in all months of the study except in June 2022, when it dropped to 16 %. The highest recorded prevalence reached 93 %, reflecting the significant presence of species such as
Prevalence of the main genera of gastrointestinal parasites in cattle from the municipalities of Salto de Agua, Chiapas, and Teapa, Tabasco, Mexico.
Date | |||||||
---|---|---|---|---|---|---|---|
Farm 1 DNA | May-22 | 66.7 | 73.3 | - | 6.7 | - | - |
Salto de Agua, Chis. | June-22 | 52.9 | 88.2 | 11.8 | 17.7 | - | 17.7 |
August-22 | 51.4 | - | - | - | - | - | |
September-22 | 81.8 | - | 10.0 | - | - | - | |
Farm 2 DRG | May-22 | 76.7 | 26.7 | 6.5 | 3.2 | 6.5 | 25.8 |
Salto de Agua, Chis. | June-22 | 16.0 | - | 3.9 | - | 23.1 | 3.9 |
August-22 | 36.8 | 2.6 | 2.6 | - | - | - | |
Farm 3 GCh | May-22 | 92.9 | 57.4 | - | - | - | - |
Teapa, Tab. | June-22 | 35.7 | 71.4 | - | - | - | 14.3 |
Farm 4 DNT | June-23 |
33.3 | 7.4 | 4.0 | 4.0 | - | 36.0 |
Salto de Agua, Chis. | July-23 | 44.4 | 22.2 | - | 4.0 | 4.0 | 12.0 |
August-23 | 29.6 | 14.8 | - | 4.0 | - | 4.0 | |
September-23 | 57.4 | 20.4 | - | - | - | - | |
October-23 |
63.0 | 3.7 | 4.0 | - | 4.0 | - | |
November-23 | 63.0 | - | - | - | - | - | |
December-23 | 70.4 | 3.7 | - | - | - | 54.0 |
Include
The intensity of infection by trichostrongylids and
Severity of infection by trichostrongylids and
Farms | Month | N | Trichostrongylids¥ | Strongyloides | ||
---|---|---|---|---|---|---|
Mean | SD | Mean | SD | |||
Farm 1 DNA | May | 31 | 216 | 240 | 71 | 210 |
June | 26 | 29 | 87 | 2 | 10 | |
August | 39 | 46 | 94 | 0 | 0 | |
Farm 2 DRG | May | 15 | 353 | 616 | 16,877 | 54,504 |
June | 17 | 100 | 129 | 959 | 1566 | |
August | 46 | 92 | 122 | 0 | 0 |
Include
The FEC of nematodes in calves aged 2 to 8 months showed a decreasing trend (p < 0.05), although the FECs were similar between dewormed and non-dewormed animals (Fig. 1). At the beginning of the study, high EPG was found in some calves, so they were dewormed and formed the group that was dewormed three times during the study. At the age of 153 days, a high EPG was observed in the dewormed group compared to the group without anthelmintic treatment, but the differences were only numerical and not statistical (P>0.05), which implies that the animals generate resistance to nematodes gradually.

Fecal nematode egg counts during the study for two groups of calves (dewormed and non-dewormed) on farm 4 (DNT). One calf had a notably high count of 35,000 eggs per gram of feces (EPG), resulting in an average value of 3,690 EPG for the dewormed group.
The presence of

Fecal egg count trends of
In farm 4, the mean nematode FEC (± SE) for females was 256 ± 49 EPG, while that for males was 591 ± 311 EPG. For
Average fecal nematode egg count by treatment and sex of calves.
Deworming | Female | 193 | 376 |
Male | 814 | 722 | |
No deworming | Female | 316 | 246 |
Male | 278 | 84 |
Eggs per gram of feces of trichostrongylids
The FECs of
Severity of
Paramphistomid |
|||||||
---|---|---|---|---|---|---|---|
N | Mean | SE | Rank | Mean | SE | Rank | |
Farm DNA | 96 | 3.9a | 1.2 | 0 – 88 | 3.3a | 1.0 | 0 – 60 |
Farm DRG | 78 | 0.3b | 0.1 | 0 – 4 | 1.0b | 0.2 | 0 – 8 |
Sampling-May | 46 | 3.5a | 2.0 | 0 – 88 | 2.2a | 1.2 | 0 – 52 |
Sampling-June | 43 | 5.0ab | 1.6 | 0 – 44 | 1.1a | 0.8 | 0 – 32 |
Sampling-August | 85 | 0.3b | 0.1 | 0 – 4 | 2.8a | 0.8 | 0 – 60 |
Females | 66 | 2.2a | 0.9 | 0 – 44 | 2.1a | 0.6 | 0 – 32 |
Males | 51 | 4.4a | 2.0 | 0 – 88 | 1.4a | 1.0 | 0 – 52 |
Different letters for each variable represent significant differences (p<0.05). SE: Standard error
The predominant genus was

Genera of gastrointestinal nematodes identified morphologically in the larval stage.
Gastrointestinal parasites are a major cause of reduced weight gain in cattle and negatively impact overall health (Rose-Vineer, 2020). This condition is one of the most significant diseases globally because of the economic losses it causes. A key challenge in parasite control is the accurate identification of the etiological agent to implement specific control measures (Vande
GIN species are predominantly found in mixed infections, as observed in this study. While the highest prevalence of nematodes was associated with the family Trichostrongylidae (
This study compared FEC dynamics over time, considering the age and sex of calves, as genetic factors in host resistance to gastrointestinal parasites significantly influence parasite prevalence (Berton
Climate is one of the main factors influencing the presence of parasites, as pre-parasitic periods depend on humidity and temperature. Some studies suggest that the highest number of infected animals occurs during summer and autumn due to rainfall, while infections gradually decrease in winter due to low temperatures, and parasitosis cases rise again in spring (Heckler & Borges, 2016). However, in the study region, a consistently high prevalence of trematodes and nematodes is observed year-round (Muñiz-Lagunes
Various studies have identified
The low prevalence of other parasite species observed in this study aligns with similar findings (Romero-Hurtado
The results of this study demonstrated a significant reduction in nematode FECs with increasing age; however, no differences in egg counts were observed between dewormed and non-de-wormed animals after the second treatment application. The prevalence of internal parasites fluctuated throughout the study, with coccidia being the most prevalent, detected in 54 % of animals during the final sampling in December. The primary genera of parasites were identified in the suckling calves, with
With the results of this study, it is possible to reduce the use of anthelmintics by applying them only during the first three months of age of the calves to reduce the high initial counts of nematode eggs, since later the calves develop natural resistance, and the high prevalence of trematodes requires the use of specific products for their control which impacts livestock production in the tropical region.