Optimizing rangeland use: Forage selection and grazing patterns of Nguni and Bonsmara cattle across traditional and commercial systems

This study examined the grazing dynamics of Nguni and Bonsmara cattle across traditional communal and commercial ranching systems in semi-arid South Africa. Eighty cattle (<i>n</i> = 20 per breed and management system) were monitored over 12 months to assess grazing behavior, forage selection, and environmental interactions. Data collection involved direct behavioral observations, GPS tracking of movement patterns, and forage quality assessments across seasons. Significant breed-specific differences were observed, with Nguni cattle exhibiting longer grazing durations (<i>p</i> = 0.02), higher step rates (<i>p</i> = 0.03), and broader dietary flexibility (<i>p</i> = 0.04) in communal systems, enabling efficient utilization of lower-quality forage. Conversely, Bonsmara cattle, optimized for commercial production, displayed a preference for high-quality forage and engaged in shorter, more concentrated grazing bouts (<i>p</i> = 0.01), leading to superior weight gain (<i>p</i> = 0.03) in nutrient-rich pastures. Seasonal fluctuations significantly influenced grazing behavior, with reduced forage availability during the dry season disproportionately affecting Bonsmara cattle in communal areas (<i>p</i> = 0.02). These findings underscore the importance of breed selection and adaptive grazing management for optimizing livestock productivity and sustainability across diverse agroecological systems.

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Publication Details

Journal
Veterinary and Animal Science
Published
2025-03-06
DOI
https://doi.org/10.1016/j.vas.2025.100436
Citations
1
Primary Topic
Rangeland Management and Livestock Ecology
Type
article
Field-Weighted Citation Impact
2.42

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article

Optimizing rangeland use: Forage selection and grazing patterns of Nguni and Bonsmara cattle across traditional and commercial systems

Ishmael Festus Jaja, Mhlangabezi Slayi
1 citations
Veterinary and Animal Science
Rangeland Management and Livestock Ecology
2.42
article

Optimizing rangeland use: Forage selection and grazing patterns of Nguni and Bonsmara cattle across traditional and commercial systems

Ishmael Festus Jaja, Mhlangabezi Slayi
article en
1 citations

Abstract

This study examined the grazing dynamics of Nguni and Bonsmara cattle across traditional communal and commercial ranching systems in semi-arid South Africa. Eighty cattle (<i>n</i> = 20 per breed and management system) were monitored over 12 months to assess grazing behavior, forage selection, and environmental interactions. Data collection involved direct behavioral observations, GPS tracking of movement patterns, and forage quality assessments across seasons. Significant breed-specific differences were observed, with Nguni cattle exhibiting longer grazing durations (<i>p</i> = 0.02), higher step rates (<i>p</i> = 0.03), and broader dietary flexibility (<i>p</i> = 0.04) in communal systems, enabling efficient utilization of lower-quality forage. Conversely, Bonsmara cattle, optimized for commercial production, displayed a preference for high-quality forage and engaged in shorter, more concentrated grazing bouts (<i>p</i> = 0.01), leading to superior weight gain (<i>p</i> = 0.03) in nutrient-rich pastures. Seasonal fluctuations significantly influenced grazing behavior, with reduced forage availability during the dry season disproportionately affecting Bonsmara cattle in communal areas (<i>p</i> = 0.02). These findings underscore the importance of breed selection and adaptive grazing management for optimizing livestock productivity and sustainability across diverse agroecological systems.

Veterinary and Animal ScienceVol. 28
University of Fort Hare (ZA)
National Research Foundation
Zero hunger
Openalex Percentile: Top 14%
Rangeland Management and Livestock Ecology
2.42
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Optimizing rangeland use: Forage selection and grazing patterns of Nguni and Bonsmara cattle across traditional and commercial systems — Ishmael Festus Jaja, Mhlangabezi Slayi · Veterinary and Animal Science (2025) | TGRS Research Map | TGRS