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Diurnal vertical and seasonal changes in non-structural carbohydrates in Marandu palisade grass

Published online by Cambridge University Press:  31 May 2018

F. C. Leite De Oliveira
Affiliation:
Department of Animal Science, University of São Paulo, College of Animal Science and Food Engineering (FZEA/USP), Pirassununga, 13635-900 SP, Brazil
J. M. D. Sanchez
Affiliation:
Range Cattle Research and Education Center, University of Florida, Ona, 33865 FL, USA
J. M. B. Vendramini
Affiliation:
Range Cattle Research and Education Center, University of Florida, Ona, 33865 FL, USA
C. G. Lima
Affiliation:
Department of Basic Sciences, FZEA/USP, Pirassununga, 13635-900 SP, Brazil
P. H. C. Luz
Affiliation:
Department of Animal Science, University of São Paulo, College of Animal Science and Food Engineering (FZEA/USP), Pirassununga, 13635-900 SP, Brazil
C. O. Rocha
Affiliation:
Department of Animal Science, University of São Paulo, College of Animal Science and Food Engineering (FZEA/USP), Pirassununga, 13635-900 SP, Brazil
L. E. T. Pereira
Affiliation:
Department of Animal Science, University of São Paulo, College of Animal Science and Food Engineering (FZEA/USP), Pirassununga, 13635-900 SP, Brazil
V. R. Herling*
Affiliation:
Department of Animal Science, University of São Paulo, College of Animal Science and Food Engineering (FZEA/USP), Pirassununga, 13635-900 SP, Brazil
*
Author for correspondence: V.R. Herling, E-mail: vrherlin@usp.br
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Abstract

Forage is the primary feed source for livestock in tropical regions and energy is one of the most important nutrients for ruminant nutrition. The effects of harvest management of Marandu palisade grass (Brachiaria brizantha cv. Marandu Syn. Urochloa brizantha cv. Marandu) on non-structural carbohydrate (NSC) concentrations were evaluated. A plot (Experiment 1) and a greenhouse study (Experiment 2) were conducted in 2013–14. In Experiment 1, treatments were the factorial arrangement of two harvest times and two vertical canopy layers (upper and intermediate), distributed in a completely randomized design with five replicates. In Experiment 2, treatments were the factorial arrangement of six harvest times and two morphological fractions (leaf blade and pseudostem). In both experiments, NSC concentration increased during the day. Upper and intermediate canopy layers had greater NSC concentration at 15.00 than 06.00 h during spring and summer. In addition, the magnitude of NSC increase was greater in the upper than intermediate canopy layer and in spring than summer. Marandu palisade grass shows greater digestibility in the afternoon than morning, representing an opportunity to optimize energy concentration through harvest management.

Information

Type
Animal Research Paper
Copyright
Copyright © Cambridge University Press 2018 
Figure 0

Fig. 1. Average monthly data of (a) maximum and minimum temperatures and solar radiation, and (b) monthly and accumulated rainfall compared with the historical average for the spring and summer in Pirassununga, SP, Brazil.

Figure 1

Table 1. Dry matter (DM), neutral detergent fibre, ash, nitrogen-free (NDFaNf), starch, and non-structural carbohydrates (NSC) concentrations in two canopy layers (upper 0.30–0.20 m, and intermediate 0.20–0.13 m) of Marandu palisade grass harvested in the morning and in the afternoon (Experiment 1)

Figure 2

Table 2. Dry matter (DM), starch and non-structural carbohydrates (NSC) in Marandu palisade grass harvested in the morning and afternoon during spring and summer (Experiment 1)

Figure 3

Fig. 2. Chemical composition variation patterns and digestibility of Marandu palisade grass up to 15 h after sunrise in Pirassununga, SP, Brazil (Experiment 2). (a) Dry matter concentration, (b) nitrogen, (c) in vitro digestible dry matter, (d) ethanol-soluble carbohydrates, (e) starch and (f) non-structural carbohydrates. Solid [●] and open [○] symbols indicate the response for leaf blade (LB) and pseudostem (PS), respectively. Dotted vertical lines represent the time after sunrise when the nutrient concentration reached its maximum value based on regression equations. Regressions curves were plotted when the time of cutting was significant (P < 0.050) and curves types were chosen based on the significance of linear (L), quadratic (Q), and cubic (C) components. Error bars at each dot indicate the standard error of mean.