Influence of Sheep Breeds on Feed Intake, Growth Performance, Digestibility and Nitrogen Utilization

Am, El-Waziry; Suliman, Gamaleldin M.; An, Al-Owaimer

doi:10.20944/preprints202107.0061.v1

Cited by 3 publications

(2 citation statements)

References 11 publications

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“…2) e indican que los corderos no sufrieron estrés significativo en el momento del sacrificio (26). Resultados similares fueron reportados por Behan et al (17) con valores de 5.84-5.89; al igual que Suliman et al (18), quienes no observaron variación en el pH de la carne de ovinos Awassi y Harri.…”

Section: Característicasunclassified

Características fisicoquímicas asociadas a calidad de carne en ovinos de pelo del sureste de México

Moo-Huchin

Mena-Arceo²,

Cárdenas-Medina³

et al. 2024

Rev MVZ Córdoba

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Objetivo. Determinar el efecto del grupo genético sobre algunas características físico químicas asociadas a la calidad de carne en lomos (Longissimus thoracis) de ovinos de pelo del sureste mexicano. Materiales y métodos. Se evaluaron corderos machos del genotipo Dorper (Dp,n=6), Katahdin (Kt,n=6) y la cruza F1 semental Dorper x madres Katahdin (DpxKt,n=6), sacrificados con un peso promedio de 29.5±4.2 kg, a una edad de 6.2±0.2 meses. Las muestras L. thoracis fueron analizadas para determinar su composición proximal y sus características físicas. Resultados. El grupo genético no tuvo efecto (p>0.05) sobre % de humedad, % proteína cruda (%PC) y el contenido de mioglobina, por el contrario, afectó (p<0.05) al % de grasa intramuscular (%GCI), % de cenizas (%Cen) y el contenido de colesterol, siendo Kt, la que presentó un mayor contenido con 4.05% de GCI y 92.63 mg/100 g de Colesterol y DpxKt con la menor cantidad de cenizas (1.01%). Los valores de pH no mostraron diferencias estadísticas entre grupos genéticos y se encontraron dentro del rango normal. Las mayores pérdidas por cocción y pérdidas por goteo fueron para DpxKt, pero al igual que Kt tuvieron valores mayores de luminosidad (L*), rojo-verde (a*) y Cromaticidad, lo que confiere a la carne un color rojo brillante más deseable. Conclusiones. Algunas de las características fisicoquímicas estuvieron influenciadas por el grupo genético y los resultados deben ser considerados por la industria cárnica para incursionar en mercados que demanden cortes (para carne asada o platillos gourmet) con ciertas características fisicoquímicas asociadas a calidad.

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Section: Característicasunclassified

Características fisicoquímicas asociadas a calidad de carne en ovinos de pelo del sureste de México

Moo-Huchin

Mena-Arceo²,

Cárdenas-Medina³

et al. 2024

Rev MVZ Córdoba

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“…Breeding is the ultimate data because each sheep's ADG and BCS is tracked. Feed type, such as fresh grass, dry hay, pellets, fermented corn, fodder or feed, strongly influences sheep's daily increase [7]. Furthermore, the ADG data are affected by sheep health [30].…”

Section: Proposed Framework On Small Ruminant Breed Lineage Predictionmentioning

confidence: 99%

Breed Lineage Prediction of Small Ruminants Using Deep Learning

Kamil,

Akmal Jamaludin,

Mohd Isa

2023

JOIV : Int. J. Inform. Visualization

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Sheep are a significant food source for humans, besides cattle and poultry. Despite its significance to Malaysian Muslims, who make up approximately 60% of the local population, the sheep supply is limited by the high mortality rate caused by fatal diseases such as foot and mouth disease (FMD) and tetanus. Infected sheep can spread food-borne bacteria, such as Escherichia coli, at various preparation phases, contaminating the meat. The objectives of this study are to identify internal and external factors that influence sheep breed lineage continuity, investigate current practices for collecting and managing data knowledge on sheep breed and hereditary diseases, and propose a sheep breed and disease data knowledge model based on the feedforward artificial neural network (FANN) deep learning method. This study utilized qualitative and quantitative data to obtain in-depth answers to the research questions, which involves collecting all the information required for the system development using the FANN deep learning method. This study found that breeding is the leading data group for tracking each sheep's ADG and BCS. Feed type, sanitization, and medication influence sheep’s daily increase and health. Collaboration, worker knowledge, and climate are recognized as external factors that potentially influence sheep's daily increase. The interview analysis also suggested attributes that could contribute to detecting breed lineage, including breed, category, ADG, and BCS. Therefore, it is recommended that future research adopt this method for other farmed animals.

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Fattening performance, nutrient digestibility, and carcass traits of two fat-tailed sheep breeds

Obeidat

Obeidat²

2022

Trop Anim Health Prod

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Influence of Sheep Breeds on Feed Intake, Growth Performance, Digestibility and Nitrogen Utilization

Cited by 3 publications

References 11 publications

Características fisicoquímicas asociadas a calidad de carne en ovinos de pelo del sureste de México

Características fisicoquímicas asociadas a calidad de carne en ovinos de pelo del sureste de México

Breed Lineage Prediction of Small Ruminants Using Deep Learning

Fattening performance, nutrient digestibility, and carcass traits of two fat-tailed sheep breeds

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