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    South African Journal of Animal Science

    On-line version ISSN 2221-4062Print version ISSN 0375-1589

    S. Afr. j. anim. sci. vol.48 n.6 Pretoria  2018

    https://doi.org/10.4314/sajas.v48i6.12 

    ARTICLES

     

    Dried brewers' grain as a replacement for soybean meal on nutrient digestibility and rumen parameters of cattle

     

     

    A. FaccendaI, #; M.A. ZambomII; A.S. AvilaII; T. FernandesIII; M.M. StumII; J. GarciasII; R.C.R. TininiII; A.L.G. DiasIV

    IState University of Maringa, Maringa, Brazil
    IIState University of West of Parana, Marechal Candido Rondon, Brazil
    IIIFederal University of Lavras, Lavras, Brazil
    IVUniversity of Alberta, Edmonton, Canada

     

     


    ABSTRACT

    The objective of this study was to determine the effect of replacing soybean meal with dried brewers' grains (DBG) in intake and digestibility of the nutrients and the ruminal parameters of cattle. Four ruminal cannulated Jersey oxen with initial body weight of 662.7 ± 85.5 kg were distributed in a 4x4 Latin square design. The treatments were levels of 0%, 33%, 66% and 100% DBG replacing soybean meal in the diet. Dry matter (DM) and crude protein (CP) intake were not influenced by the treatments. There were linear increases in ether extract (EE), neutral detergent fibre (NDF) and acid detergent fibre (ADF) intakes because of higher levels of these nutrients in diets with DBG. Non-fibre carbohydrate (NFC) and total digestible nutrient (TDN) intake showed a decreasing linear effect. Dry matter and NFC digestibility decreased linearly with rising DBG levels, while EE, CP, NDF and ADF digestibilities were not affected. Ruminal pH was not influenced by DBG levels in the diet. There was a quadratic effect in ammonia nitrogen (NH3-N) concentration in the rumen, with the maximum occurring at a level of 36.7% DGB. The replacement of soybean meal with DBG in cattle diets did not alter DM intake and ruminal pH, but reduced TDN intake.

    Keywords: Ammonia nitrogen, by-product, digestibility, intake, pH


     

     

    Introduction

    The high costs of concentrated ingredients in animal feed and the competition of these with human food have increasingly driven the search for feed alternatives. In addition, the increase in agro-industrial production has generated many by-products that cannot be used directly for human consumption, but can become part of animal diets. This is especially true for ruminants, which, owing to the specific characteristics of their digestive systems, are able to transform these residues into high-quality products such as milk and meat (Pereira et al., 1999).

    The current political and social pressure to reduce pollution from industrial activities has caused most countries to adapt to this reality by modifying processes and recycling their by-products. As a result, large companies no longer regard by-products as garbage, but as raw material for other industries (Mussatto et al., 2006). Brewer's grains from the brewing industry have crude protein (CP) ranging from 145 g/kg to 374 g/kg of dry matter (DM) (Del Ríoet al., 2013; Westendorf et al., 2014), and can be used as a lower cost replacement for soybean meal. However, the peculiar characteristics of this by-product, such as its high neutral detergent fibre (NDF) content, can lead to reduced consumption owing to physical rumen fill (Silva et al., 2010). In addition, its low-degradable protein in the rumen could cause limitations to bacterial growth (Gilavarte et al., 2011) and therefore interfere with the digestion of nutrients by the animal.

    Nutrient digestion in turn is a dynamic process that results from the interaction of factors that depend on the animal, diet and animal rumen ecosystem (Pereira et al., 1999). Thus, to determine the effects of dried brewers' grains (DBG) on animal performance, it is critical to introduce this alternative ingredient in the production chain of ruminants. The objective of this study was to determine the effects of replacing soybean meal with DBG on intake and digestibility of the nutrients and the ruminal parameters of cattle.

     

    Material and Methods

    The experiment was conducted at State University of West of Parana (Brazil) at the geographic coordinates, 24º 31' 55" south and 54° 01' 08" west, and an altitude of 392 m. Research on animals was conducted according to the West Parana State University Committee on Animal Use (Protocol 35/13). Four Jersey oxen with rumen cannulas with initial body weight (BW) of 662.7 ± 85.5 kg were used. They were assigned to a 4x4 Latin square experimental design of four treatments and four experimental periods of 21 days. The first 14 days were for adaptation to the diet and management, and the last seven days were for data collection. The treatments consisted of the replacing of soybean meal with DBG at levels of 0%, 33%, 66% and 100%.

    The estimated nutrient composition of DBG, soybean meal, corn grain and silage are presented in Table 1. The total digestible nutrients (TDN) content were calculated using the equation proposed by Kunkle & Bates (1998) and in vitro organic matter digestibility values previously analysed. The diets were formulated to meet the maintenance requirements of the animals, according to the NRC (1996). The diets were composed of a forage : concentrate ratio of 50 : 50 (Table 2). The soybean meal was gradually replaced with DBG at levels of 0%, 33%, 66% and 100%. However, owing to the difference in the CP content between these ingredients, the amount of DBG (kg) used to replace the soybean meal was approximately 3 : 1. TDN in the experimental diets was calculated according to the equation proposed by Sniffen et al. (1992), using the digestibility of the nutrients for each treatment.

    The animals were housed in a covered barn with individual pens. The initial DM offered in each experimental period was 1.8 kg per 100 kg of BW. However, during adaptation the refusals were weighed daily and adjusted by 5 g/kg of DM offered. The feed was weighed daily and fed twice daily at 06:30 and 16:30 in a proportion of 700 g/kg and 300 g/kg, respectively. At the beginning and end of each experimental period the animals were weighed before the morning feeding.

    The DM and nutrient intakes were determined as the difference between the amount of feed provided and the refusals between the 15th and 21st days of a period. Samples of feed and refusals of each animal were collected during this period. To determine digestibility, faecal samples were collected directly from the rectum from the 15th to the 20th day, according to this distribution: day 15 (08:00), day 16 (10:00), day 17 (12:00), day 18 (14:00), day 19 (16:00) and day 20 (18:00). Subsequently, samples of feed, refusals and faeces were dried in a forced ventilation air oven (55 °C for 72 h) and ground in a screen with 1-mm sieves. The samples collected during the seven days of the trial were used to compose a representative sample of diets, refusals and faeces per animal per period. Thus, each treatment at the end of the experiment had four diet samples, four refusals samples and four faeces samples. The samples were analysed for DM, ash, CP and ether extract (EE) according to AOAC (1990) methodology, and the NDF and acid detergent fibre (ADF) were determined according to Van Soest et al. (1991). The amounts of organic matter (OM) were calculated as the difference between ash content and total DM. Non-fibre carbohydrate (NFC) was calculated according to the equations proposed by Sniffen et al. (1992).

    Dry matter and nutrient digestibility were estimated as the difference between the amounts consumed and excreted. To estimate daily faecal excretion, insoluble acid detergent fibre (iADF) was used as an internal marker. The iADF was estimated in samples of offered feed, refusals and faeces by an in situ digestibility procedure. The iADF was obtained after 264 hours incubation (Casaliet al., 2008) in filter bags and then analysed for ADF.

    To determine ruminal fermentation, ruminal fluid samples were collected from animals before feeding (time 0) and 2, 4, 6 and 8 h after the morning feeding. The liquid was manually collected through the rumen cannula and filtered through cheesecloth. The ruminal pH was measured immediately after each collection with a digital pH meter. Samples of 50 mL ruminal fluid were acidified with 1 mL sulphuric acid (1:1) and stored at -20°C for subsequent analysis of ammonia nitrogen (NH3-N) concentrations by distillation with 2N potassium hydroxide, as described by Fenner (1965).

    The data were analysed as a 4x4 Latin square design using the MIXED procedure of SAS (Statistical Analysis System, version 9.2.). Dried brewers grain levels were considered fixed effect, and period and oxen were considered random effects. The effects of DBG levels were evaluated by regression polynomial testing linear and quadratic models. The variables related to ruminal parameters were analysed with repeated measurements in time. Time and interaction between DBG levels and time were considered fixed effect. Various covariance structures of errors were fitted. The banded structure (UN(1)) was selected based on the lowest Bayesian information criterion. When significant, means were analysed by regression polynomial testing linear and quadratic models. Significance was set at P <0.05.

     

    Results and Discussion

    Dry matter intake and OM and CP intakes were not influenced by the treatments (P >0.05) (Table 3). The lack of effect may have occurred owing to the low level of DM intake that remained between 1.5 and 1.8 kg per 100 kg of BW. Thus, the rumen fill effect caused by diets high in NDF containing brewery residue, as reported by Silva et al. (2010), did not occur. Geron et al. (2008) did not observe an effect on DM intake in cattle fed 24% of wet brewers' grain in the total diet, with an intake level of up to 1.7 kg per 100 kg of BW. Crude protein intake was not affected by treatments since the diets had similar protein contents and DM intake was similar between the DBG levels.

    There was a linear rise in EE intake, due to increased EE in diets with DBG (P <0.01), which increased from 29.17 g/kg of dietary DM with 0% DBG to 41.5 g/kg of dietary DM with 100% of DBG. Miyazawa et al. (2007) also observed a higher EE intake in lactating cows fed diets with 9% of DBG in the diet compared with the control treatment. The replacement of soybean meal with DBG also increased linearly the NDF and ADF intakes (P <0.05) owing to the higher concentration of these fractions in diets with DBG.

    Non-fibre carbohydrate intake showed a decreasing linear effect with the increased use of DBG (P <0.01). There was a gradual reduction in the NFC concentration of the diets when the soybean meal was replaced by DBG. That reduction occurred due to a decreasing in the corn proportion and also the low NFC content of DBG as a result of the starch removal during malting of the barley (Mussatto et al., 2006). Total digestible nutrient intake had a linear reduction of 6.1 g per day for each 1% use of DBG (P <0.05). This effect was due to the lower digestibility of the carbohydrate with increasing DBG instead of soybean meal.

    Dry matter and OM digestibility decreased linearly with increasing DBG levels (P <0.05) (Table 4). This result reflects the linear reduction in NFC digestibility (P <0.05). During malting, most of the NFC, mainly starch, is digested by enzymes into simple sugars (Gonzalez-Pereyra et al., 2011). Thus, the remaining NFC of the DBG is more resistant (Tang et al., 2005) to ruminal fermentation affecting the digestibility of this fraction.

    The digestibility of EE, CP, NDF and ADF were not changed by the replacement of soybean meal with DBG (P >0.05). Geron et al. (2008) and Sakai et al. (2015) did not observe differences in digestibilities of CP, NDF and ADF when evaluating the inclusion of 24% fermented brewers' grains in the cattle diet and 29% DBG in buffalo diet, respectively.

    There was no interaction between treatment and time after feeding for ruminal NH3-N concentration (P >0.05), but this variable presented a quadratic effect in function of the time (P <0.01) with maximum estimated NH3-N concentration at 2:43 hours after feeding. There was a quadratic effect (Figure 1) for the NH3-N concentration with the replacement of soybean meal for DBG (P <0.05), wherein the maximum estimated NH3-N concentration occurred with the level of 36.7% of DGB. The higher NH3-N concentration, observed at level of 36.7% of DGB, may maximize microbial protein synthesis, since it is the nitrogen source most used by ruminal bacteria (Wang et al., 2015). However, the use of DBG above this level reduced the concentration of ammonia owing to its lower rumen degradability of the protein compared with soybean meal. This fact occurs because the soluble proteins of malt are removed during the malting and brewing process, resulting in a DBG with proteins of low solubility (Steiner et al., 2011).

    The ruminal pH in cattle showed no interaction between treatment and evaluation times and was not influenced by DBG levels in the diet (P >0.05). Ruminal pH showed quadratic effect in function of the time after feeding (P <0.01) and the minimum estimated pH value occurred at 4.51 hours after feeding. Regardless of the treatment and time after feeding, the pH remained above 5.8, which is considered by Yang & Beauchemin (2007) to be the minimum pH value at which there is not reduced fibre digestibility.

     

    Conclusion

    The replacement of soybean meal with DBG in cattle diets did not alter DM intake and ruminal pH, but reduced TDN intake owing to the lower NFC digestibility. The level of 36.7% of DBG provided the highest ruminal NH3-N concentration that can maximize microbial protein synthesis.

     

    Acknowledgments

    The authors would like to thank Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES grant - PNPD 2891/2010) for their financial support.

    Authors' Contributions

    AF, MAZ and ALGD were in charge of project design and writing of the manuscript. AF, ASA, TF, MMS, JG, and RCRT were in charge of project implementation. All co-authors participated in results, statistics and interpretation of the study.

    Conflict of Interest Declaration

    The authors declare no conflict of interest.

     

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    Received 4 June 2018
    Accepted 24 August 2018
    First published online 22 December 2018

     

     

    # Corresponding author: andressafaccenda@hotmail.com