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Journal of Animal Science· 2026Q1

PS12-24. How Sward Forage Structure and Nutritive Value Shape the Performance of Nellore Steers in Tropical Pasture-based Beef Cattle Production Systems.

Rolando Pasquini Neto, Mingyung Lee, Marcia Fernandes, A. de F. Pedroso et al.

Short summary

Intensively managed and irrigated pastures (IHS) maintained steer average daily gain (ADG) across seasons, unlike other systems where winter gains sharply declined. Pre-grazing forage mass (up to 9,000 kg DM ha-1), crude protein (9-10%), and leaf proportion were key positive drivers of ADG, while intermediate canopy height (25-35 cm) was optimal.

AI-generated from the title and abstract; the full text is not read.

Key points

  • Intensively managed and irrigated pastures (IHS) maintained steer ADG across seasons, unlike other systems that declined in winter.
  • Pre-grazing forage mass up to 9,000 kg DM ha-1 was positively associated with ADG, after which it plateaued.
  • Optimal crude protein content for ADG was 9-10%.
  • Intermediate pre-grazing canopy height (25-35 cm) maximized ADG, with reduced performance at shorter or taller swards.
  • Higher pre-grazing leaf proportion linearly increased ADG.

AI-generated from the title and abstract; the full text is not read.

Abstract

Abstract This study evaluated how sward forage structure and nutrient contents affects average daily gain (ADG, kg0.75 day-1) of Nellore steers during the backgrounding-finishing phase in tropical pasture-based production systems: 1) extensively managed degraded pasture (DP); 2) intensively managed silvopastoral system (LFS); 3) intensively managed rainfed pasture with moderate stocking rate (RMS); 4) intensively managed rainfed pasture with high stocking rate (RHS); and 5) intensively managed and irrigated pasture with high stocking rate, overseeded in the dry season (IHS). Each year, 30 Nellore steers (330±25 kg; 18±1 months) were randomly assigned to each system with two replicates over two years (2019–2021). Forage measurements per season included: direct sampling to represent production, and hand-plucking to simulate nutrient intake, considering the animals' grazing behavior. To determine ADG, weightings were performed every 28-day within each season by animals. Data was analyzed using R version 4.5.0 (RCORE TEAM, Boston, Massachusetts, USA), being first organized by animal, and subsequently aggregated by paddock, totaling 80 observations. Linear mixed models were fitted to identify the main structural (e.g., height and herbage mass) and nutritive variables [e.g., crude protein (CP) and fiber fractions] associated with ADG (α = 0.05), considering season as a fixed covariate effect, while year and paddocks nested within year as random effects. The final model demonstrated a high precision between observed and predicted values (R2 = 0.743; P < 0.001), with seasons showing a dominant effect (F = 32.8). IHS maintained similar ADG across seasons, whereas in winter, all other systems sharply declined, showing negative gains in DP and LFS. Among sward attributes, pre-grazing forage mass had the strongest positive association (F = 17.0), with gains increasing up to approximately 9,000 kg DM ha-1 before plateauing. CP content exhibited a similar pattern (F = 38.2), with optimal performance at 9–10%. Pre-grazing canopy height showed a negative quadratic effect (F = 16.9), with maximum ADG at intermediate heights of 25–35 cm and reduced performance at both short and tall sward conditions. Pre-grazing leaf proportion was the only variable with a linear positive relationship (F = 4.8), indicating that swards with greater leaf mass participation consistently supported higher ADG across the full range observed. These results indicate that both sward structure and nutritive value greatly influence ADG of grazing animals, but their magnitude depends on the beef cattle system management under tropical conditions. For image description, please refer to the figure legend and surrounding text.

The authors' abstract, as published at the source. Journal of Animal Science, 2026 · DOI ↗

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