Chemical composition and ruminal degradation kinetics of white oat (Avena sativa L.) IPR 126

Ricacheski, Silvonei Tiago; Henrique, Douglas Sampaio; Mayer, Lilian Regina Rothe; Oliveira, Jhone Gleison de; Rosler, Jucemara Aparecida; Fluck, Ana Carolina

doi:10.1590/s1519-99402017000100006

Cited by 5 publications

(4 citation statements)

References 23 publications

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“…That matches the important aspect of the theory according to which parameter k 1 is greater than parameter k 2 , i.e., NFC are more quickly degraded than FC [6,32]. [33] used this recommendation in their study.…”

Section: Resultsmentioning

confidence: 58%

Generation of models from existing models composition: An application to agrarian sciences

et al. 2019

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Mathematical models that describe gas production are widely used to estimate the rumen degradation digestibility and kinetics. The present study presents a method to generate models by combining existing models and to propose the von Bertalanffy-Gompertz two-compartment model based on this method. The proposed model was compared with the logistic two-compartment one to indicate which best describes the kinetic curve of gas production through the semi-automated in vitro technique from different pinto peanut cultivars. The data came from an experiment grown and harvested at the Far South Animal Sciences station (Essul) in Itabela, BA, Brazil and gas production was read at 2, 4, 6, 8, 10, 12, 14, 17, 20, 24, 28, 32, 48, 72, and 96 h after the start of the in vitro fermentation process. The parameters were estimated by the least squares method using the iterative Gauss-Newton process in the software R version 3.4.1. The best model to describe gas accumulation was based on the adjusted coefficient of determination, residual mean squares, mean absolute deviation, Akaike information criterion, and Bayesian information criterion. The von Bertalanffy-Gompertz two-compartment model had the best fit to describe the cumulative gas production over time according to the methodology and conditions of the present study.

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Section: Resultsmentioning

confidence: 58%

Generation of models from existing models composition: An application to agrarian sciences

et al. 2019

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“…This decreases the faster degradable fraction of plant, directly influencing the digestibility of the material, more evidenced in the vegetative stage. It should be considered the lignin content (Table 1) for the digestibility of NDF be mainly regulated by the content and type of lignin in the forage (OLIVEIRA et al, 2011;RICACHESKI et al, 2017), remaining explicit this rating in both vegetative and pre-flowering. Mutually, plants in full flowering also have low protein content, and this protein is less available because it is bound to lignin.…”

Section: Resultsmentioning

confidence: 99%

In vitro and in situ digestibility of annual ryegrass silage from distinct phenological growth stages and pre-dehydration times

Fluck¹,

Costa²,

Schafhäuser³

et al. 2018

Biosci. J.

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The aim was to evaluate how the fodder pre-dehydration time and its phenological stages influence on ruminal degradability and digestibility of ryegrass silage. The evaluated samples consisted of treatments: Vegetative: Cut and ensiled; cut + 4 hours pre-drying and ensiled and; cut + 7 hours pre-drying and ensiled; Pre-flowering: Silage cutting and ensiled and 4 hours pre-drying and ensiled; Flowering: cut and ensiled, no pre-drying, with four replications each treatment. Silage was storage for four months. It was carried out three in situ digestibility assays to determine the curve of ruminal degradability at different times (3, 6, 9, 12, 24, 48 and 72 hours), like in situ digestibility and other three assays of 24 hours and 48 hours to determinate in vitro digestibility of silage. The digestibility of ryegrass silage was influenced by both the pre-dehydration times and phenological stage, and the dehydration time of cut and silage had a high proportion of degradable components, with higher degradation rate by 24 hours of incubation. The in vitro digestibility of the ryegrass silage was greater than that in situ for up to 48 hours. The digestibility of the ensiled ryegrass biomass was influenced by the dehydration times, as well as the plant growth stage, regardless of the methodology used, being higher values for the treatment without previous drying of the vegetative stage.

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“…That corroborates the important aspect of the theory according to which the degradation rate of NFC is greater than that of FC, i.e., NFC are more quickly degraded than FC (Schofield et al, 1994;Malafaia, Valadares, Vieira, Silva, & Pereira, 1998). Ricacheski et al (2017) used this recommendation in their studies.…”

Section: The Models Obtained High Rmentioning

confidence: 99%

New model of evaluation of sunflower and corn silages by the in vitro gas production technique

Santos

Brito

Moreira

et al. 2020

SCA

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This study aimed to propose a model called Two-compartment Logistic-von Bertalanffy (LVB) and to identify among the proposed and Two-compartment Logistic (TL) models the one that has the best goodness of fit to the kinetic curve of cumulative gas production (CGP) of sunflower and corn silages alone and combined using the in vitro semi-automated gas production technique. A random block split-plot experimental design was employed in which the inoculums were the blocks, the incubation times were the split-plots, and the experimental diets were: CS - corn silage, SS - sunflower silage (as single roughage), and their mixtures, i.e., 340SS (660 g kg-1 corn silage and 340 g kg-1 sunflower silage) and 660SS (340 g kg-1 corn silage and 660 g kg-1 sunflower silage). The parameters were estimated by the least squares method using the iterative Gauss-Newton process in the software R version 3.4.1. The criteria adopted were: adjusted coefficient of determination (R2adj.), residual mean squares (RMS), mean absolute deviation (MAD), Akaike information criterion (AIC), Bayesian information criterion (BIC), and relative efficiency (RE). The TL model had higher R2adj. values compared to LVB, however, such difference may be considered negligible. The LVB model had RE above one, which indicates it is superior to the TL model, in addition to the lowest RMS, MAD, AIC, and BIC values, The Two-compartment Logistic-von Bertalanffy model had the best fit to describe the CGP over time according to the methodology and conditions of the present study.

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Chemical composition and ruminal degradation kinetics of white oat (Avena sativa L.) IPR 126

Cited by 5 publications

References 23 publications

Generation of models from existing models composition: An application to agrarian sciences

Generation of models from existing models composition: An application to agrarian sciences

In vitro and in situ digestibility of annual ryegrass silage from distinct phenological growth stages and pre-dehydration times

New model of evaluation of sunflower and corn silages by the in vitro gas production technique

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