September 25, 2020

Brachiaria Brizantha CV. BRS Piatã. Originally from Welega, Africa; medium size, height between m and m; thin, green stems (4 mm in diameter). Brachiaria brizantha cv. BRS Piatã forage availability under integrated crop- livestock-forestry systems in Brazil. Poster (PDF Available) · September with . BRS Piatã, grown alone or intercropped with soybean, due to different densities. *Significant (p Brachiaria brizantha planted.

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Proceedings of the 19th International Grassland Congress. However, in the study conducted by Euclides et al.

Brachiaria Brizantha cv BRS Piatã – Products – Germisul – Pastures seeds

Herbage accumulation rate was higher for the third than for the second experimental year, and HM was lower for the second than for the remaining experimental years. The objective of the present piatta was to evaluate live weight gain per animal and per area and its relationship with the characteristics of pastures of Brachiaria brizantha cv. Introduction One of the factors responsible for low beef cattle production in the tropics is inadequate animal nutrition, resulting mainly from the seasonality of forage production, which is brachixria of tropical regions.

Herbage accumulation was estimated using three exclusion cages 1 m 2 for each paddock. However, it was also believed to not limit herbage ingestion by animals because herbage accumulation was not considered in the calculation of HA.

Covariance structure selection in general mixed models. Based on previous brachiaia, the highest-order polynomial was selected. Therefore, the unfavorable canopy structure for grazing and the lower nutritive value of the forage explain the lower animal performance observed in the dry than in the wet season Table 2.

Every 28 days, the cages were placed in points representative of the average canopy height, with similar mass and morphological composition to the areas under grazing. In addition, the uncertainties regarding climate changes lead to different predictive strategies for breeding programs. The bracniaria herbage accumulation rate variation Figures 3 Pista and 3B was typical for the tropical regions, resulting from the rainfall seasonality Figures 1 and 2 and temperature and photoperiod variations Figure 1.


Three steers were placed in each paddock, in brschiaria total of 36 steers. The height at each point was considered to be the average canopy height surrounding the ruler. Daily average weight gain was calculated as the increase in live weight of tester animals divided by the number of days between weighing sessions.

Brachairia in the grazing process, pasture accessibility, and ease of the leaf harvest resulting from changes in canopy structure may therefore significantly influence forage consumption and, consequently, animal performance.

July 30, ; Accepted: ABSTRACT The objective of the present study was to evaluate live weight gain per animal and per area and its relationship with the characteristics of pastures of Brachiaria brizantha cv.

Therefore, it was decided to reduce the stocking rate per paddock during the second and third dry seasons Table 2. AU – animal unit. The sward height was measured twice a week at 60 random points per experimental unit, using a ruler graduated in centimeters. Stapf, Brachiaria decumbens Stapf, Brachiaria ruziziensis R. Two samples simulating animal grazing were also collected from each paddock and analyzed to determine crude protein, neutral detergent fiber, and acid detergent lignin concentrations and in vitro organic matter digestibility, by near-infrared spectroscopy NIRS.

The animals were treated with a wide spectrum vermifuge at the beginning of the experiment and with pour-on ectocide during the experiment as needed for the control of ticks and horn flies. Stocking rate and live weight gain per area were higher for the first year, lower for the second year, and intermediate for the third year.

Of these accessions, two were selected and tested for animal production: This is an open-access article distributed under the terms of the Creative Commons Attribution License. The Akaike information criterion was used to select the covariance matrix Wolfinger, Soil chemical characteristics were as follows: The pronouncedly lower HAR for the dry season, regardless of the grass cultivar Table 2resulted mostly from the water stress observed during the dry season Figures 1 and 2. However, the higher ADG observed during the first dry season Table 5 can be explained by the better rain distribution observed for that period Figure 1given that water deficit was only observed in June Figure 2.


These traits suggest that this cultivar might be a new alternative to be used under different production systems, mainly during the dry period, which represents the main constraint as far as feed availability and quality are concerned. The eight accessions that were best in the combined analysis of all tested locations Valle et al. Pasture samples were collected once a month, and herbage accumulation rate HARpercentage of leaves PLleaf: For the stratified herbage samples, the same model was applied, but the effect of the strata was added and considered fixed.

Grazing behaviour, herbage intake and animal performance of beef cattle heifers on marandu palisade grass subjected to intensities of continuous stocking management. O melhoramento de forrageiras tropicais no Brasil. The grazing method used was continuous stocking, with a variable stocking rate. In this context, Valle et al.

Brachiaria Brizantha cv BRS Piatã

The experiment was conducted between June and May No differences between the two cultivars were observed during the wet season for any of the evaluated parameters.

The use of improved forage plants may help mitigate this problem.

Grass and Forage Science Because of a delay in the building of the exclusion cages, herbage accumulation was not estimated for the first experimental year. In May, fences were built, and drinking troughs were installed. This finding is of great importance because the seasonality of forage production is one of the bottlenecks for pasture-raised cattle production.

Journal Range Management

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