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1.
J Dairy Sci ; 96(11): 7195-7209, 2013.
Article in English | MEDLINE | ID: mdl-24011950

ABSTRACT

Sixty samples of 'ForagePlus' oat were selected from a previous plot study for analysis of in vitro gas production (IVGP) on the basis of 2 factors: (1) high (n=29) or low (n=31) neutral detergent fiber (NDF; 62.7±2.61 and 45.1±3.91%, respectively); and (2) the range of water-soluble carbohydrates (WSC) within the high- and low-NDF groups. For the WSC selection factor, concentrations ranged from 4.7 to 13.4% (mean=7.9±2.06%) and from 3.5 to 19.4% (mean=9.7±4.57%) within high- and low-NDF forages, respectively. Our objectives were to assess the relationships between IVGP and various agronomic or nutritional characteristics for high- and low-NDF fall-oat forages. Cumulative IVGP was fitted to a single-pool nonlinear regression model: Y=MAX × (1 - e ([-)(K)(× (t - lag)])), where Y=cumulative gas produced (mL), MAX=maximum cumulative gas produced with infinite incubation time (mL), K=rate constant, t=incubation time (h), and lag=discrete lag time (h). Generally, cumulative IVGP after 12, 24, 36, or 48h within high-NDF fall-oat forages was negatively correlated with NDF, hemicellulose, lignin, and ash, but positively correlated with WSC, nonfiber carbohydrate (NFC), and total digestible nutrients (TDN). For low-NDF fall-grown oat forages, IVGP was positively correlated with growth stage, canopy height, WSC, NFC, and TDN; negative correlations were observed with ash and crude protein (CP) but not generally with fiber components. These responses were also reflected in multiple regression analysis for high- and low-NDF forages. After 12, 24, or 36h of incubation, cumulative IVGP within high-NDF fall-oat forages was explained by complex regression equations utilizing (lignin:NDF)(2), lignin:NDF, hemicellulose, lignin, and TDN(2) as independent variables (R(2)≥0.43). Within low-NDF fall-grown oat forages, cumulative IVGP at these incubation intervals was explained by positive linear relationships with NFC that also exhibited high coefficients of determination (R(2)≥0.75). Gas production was accelerated at early incubation times within low-NDF forages, specifically in response to large pools of WSC that were most likely to be present as forages approached boot stage by late-fall.


Subject(s)
Avena/chemistry , Avena/growth & development , Dietary Carbohydrates/analysis , Dietary Fiber/analysis , Gases/metabolism , Animal Feed/analysis , Animals , Body Fluids/metabolism , Cattle , Dietary Fiber/metabolism , Digestion , Female , Fermentation , In Vitro Techniques , Regression Analysis , Rumen/metabolism , Seasons , Solubility , Water
2.
J Dairy Sci ; 96(7): 4647-52, 2013 Jul.
Article in English | MEDLINE | ID: mdl-23684031

ABSTRACT

Numerous studies have evaluated laboratory methods to quantify prolamin proteins in dry corn; however, the utility of methods to quantify functional prolamins, which impede starch digestibility, in high-moisture corn (HMC) is less defined. As a result, a common rapid turbidimetric (rTM) laboratory procedure was modified (rapid Bradford method, rBM), extracting buffer-soluble proteins before prolamin solubilization in an effort to better quantify functional prolamins in HMC. Twenty samples of dry and HMC were evaluated by rTM and rBM procedures. Prolamin concentration in dry corn, as estimated by rTM or rBM methods, ranged from 6.12 to 2.20g/100 g of DM or 5.46 to 2.41g/100 g of DM, respectively. Dry corn mean prolamin concentrations, as estimated by rTM or rBM methods, were similar at 3.65 or 3.66g/100 g of DM. Prolamin concentration in HMC, as estimated by rTM, ranged from 4.99 to 3.24g/100 g of DM, with a mean prolamin concentration of 4.19g/100 g of DM, but estimation of prolamins in HMC by the rBM method resulted in lower mean (4.19 vs. 3.24g/100 g of DM) prolamin concentration. Prolamin concentration in dry and HMC measured by rTM was negatively related to peak absolute rates (PAR; mL/0.1 g of DM) of in vitro gas production. However, relationships between rTM prolamin concentration and PAR were not homogeneous and were different between dry and HMC. Prolamin proteins as determined by rBM were likewise negatively related to PAR, but corn type did not influence rBM prolamin concentration by PAR relationships. Data suggest that the rBM method defined more similar functional prolamin proteins, which impede starch degradability, in dry and HMC.


Subject(s)
Nephelometry and Turbidimetry/methods , Prolamins/analysis , Water/analysis , Zea mays/chemistry , 2-Propanol , Animal Feed , Animals , Digestion , Rumen/metabolism , Seeds/chemistry , Starch/metabolism
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