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ANIMAL PRODUCTION • Cienc. Rural 48 (5) • 2018 • https://doi.org/10.1590/0103-8478cr20170576 linkcopy

Open-access Digestibility and net energy prediction of rice by products determined with piglets

Digestibilidade e predição da energia líquida de subprodutos de arroz determinado com leitões

AuthorshipSCIMAGO INSTITUTIONS RANKINGS

    ABSTRACT:

    The aim of this study was to determine the chemical composition, digestibility, and net energy (NE) of broken rice (BRR), stabilized rice bran (SRB), and parboiled rice bran (PRB) for piglets. Two digestibility trials were performed with 12 and 18 male pigs with initial weights of 8 and 16kg, respectively. We performed total fecal collection using ferric oxide as fecal marker. The digestibility coefficients of organic matter, crude protein, and gross energy were higher (P<0.001) for the BRR compared to the SRB and PRB. The PRB presented a digestible energy 2% lower than that of BR and 5% higher than that of SRB. For BRR, average NE value was 3,228kcal/kg dry matter (DM), and the difference between the lower and higher value was 311kcal/kg DM. Average NE values of SRB and PRB were 2,896 and 3,293kcal/kgDM, respectively. The difference between the energy predicted by each equation reached 190kcal/kgDM for SRB and 285kcal/kgDM for PRB. In conclusion, BRR showed higher nutrient digestibility coefficients, except for EE and GE, which can be attributed to differences in the production processes. Regardless of the type of feedstuff tested, equations to predict NE values should be used carefully due to considerable differences in energy content.

    Key words: broken rice; parboiled rice bran; prediction equations; stabilized rice bran

    RESUMO:

    O objetivo deste estudo foi determinar a composição química, a digestibilidade e a energia líquida (EL) da quirera (QR), farelo de arroz estabilizado (FAE) e farelo de arroz parboilizado (FAP) para leitões. Foram realizados dois ensaios de digestibilidade com 12 e 18 suínos machos com pesos iniciais de 8 e 16kg, respectivamente. A coleta fecal total foi realizada usando óxido férrico como marcador fecal. Os coeficientes de digestibilidade da matéria orgânica, proteína e energia bruta (EB) foram maiores (P<0,001) para o QR em comparação com o FAE e FAP. O FAP apresentou energia digestível 2% inferior à da QR e 5% maior que a da FAE. Para QR, o valor médio de EL foi de 3,228kcal/kg de matéria seca (DM), e a diferença entre o valor inferior e o valor superior foi de 311kcal/kg de MS. Os valores médios de EL de FAE e FAP foram de 2.896 e 3.293kcal/kgMS, respectivamente. A diferença entre a energia predita por cada equação atingiu 190kcal/kgMS para FAE e 285kcal/kgMS para FAP. Em conclusão, QR mostrou maiores coeficientes de digestibilidade dos nutrientes, exceto EE e EB, o que pode ser atribuído a diferenças nos processos de produção. Independentemente do tipo de alimento testado, as equações para prever os valores de EL devem ser usadas com cuidado devido a diferenças consideráveis no conteúdo energético.

    Palavras-chave: arroz quebrado; farelo de arroz parboilizado; equações de predição; farelo de arroz estabilizado

    INTRODUCTION:

    Several studies have evaluated the inclusion of broken rice (BRR) and full fat rice bran (FFRB) in pig diets (EBERT et al., 2005; GOMES et al., 2012). However, one of the factors limiting a more intense use of FFRB in pig diets is its sensitivity to oxidation, especially in hot climates. Extrusion process subjects the FFRB to high temperatures for a short time period, resulting in stabilized rice bran (SRB). Parboiled rice bran (PRB), originating from the rice parboiling process, also has low lipase activity, which delays rancidity (MUJAHID et al., 2005; HEUZÉ & TRAN, 2015). Few studies have been conducted to evaluate the digestibility of chemical components and energy of SRB and PRB for piglets.

    The energy content evaluation of feedstuffs used for pig diets is generally based on their digestible (DE) or metabolizable (ME) energy values. However, the net energy (NE) system better describes the energy value available for animal maintenance and production processes (NOBLET, 1994). The main issues of the NE system, especially when compared to DE and ME, are the difficulties and costs to estimate NE in the feed.

    An alternative to estimate the NE value of a feedstuff or diet is the use of multiple regression equations which employ chemical characteristics, digestible nutrients, or energy data for the calculation (LIU et al., 2015). However, few studies have been conducted to compare multiple regression equations to estimate the NE value of feedstuffs for piglets. In this context, we performed two experiments to determine the chemical composition, digestibility of nutrients and energy, and NE values of BRR, SRB, and PRB for piglets.

    MATERIALS AND METHODS:

    Twelve and 18 castrated male pigs in the nursery phase, with average initial live weights of 8±0.81 and 16±1.57kg, were used in trial I and II, respectively. Animals were allotted in a completely randomized design with two (trial I) and three treatments (trial II); each treatment consisted of six replicates.

    In the first trial, the treatments consisted of a reference diet (RD) and a test diet (TD) elaborated by the substitution of 40% (weight) of the energetic feedstuffs by BRR. In trial II, 16% of RD energetic feeds were replaced by SRB or PRB. Composition of RD was identical in both trials (Table 1) and formulated to meet the nutritional requirements of piglets according to ROSTAGNO et al. (2011).

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    Table 1
    Composition of reference and test diets with broken rice (BRR), stabilized rice bran (SRB) and parboiled rice bran (PRB), as fed basis.

    In both trials, the pigs were individually housed in metabolism cages equipped with feeders, drinkers, and containers for the collection of feces and urine. The two experiments had a duration of 12 days, with seven days for adaptation and five days of total feces collection. Animals received four meals daily (8:00, 11:30, 14:00, and 17:30h), based on the metabolic live weight (kg0.75) obtained according to the lowest intake during the adaptation period.

    The feces were collected twice daily according to the marker-to-marker approach, using ferric oxide (1%) as a marker. Feces were placed in plastic bags and kept in a freezer at -18°C. At the end of each period, the feces were thawed and homogenized; an aliquot was removed for drying at 65°C in a forced air oven before being milled for chemical analysis.

    Analyses of dry matter (DM, method 930.15), mineral matter (MM, method 942.05) N (988.05 method), ether extract (EE, method 920.39) of feed ingredients and feces were performed following the methodologies of the Association of Official Analytical Chemists (AOAC, 1995). To determine neutral detergent fiber (NDF) and acid detergent fiber (ADF) of diets and ingredients, the VAN SOEST (1967) methodology was used. The gross energy (GE) was determined in an adiabatic calorimetric bomb.

    For the calculation of nutrient digestibility coefficients and apparent digestible energy (DE) of feedstuffs and diets, the equations described by ADEOLA (2001) were used. The NE values were calculated using the equations of NOBLET et al., (1994); JUST et al., (1982), LIU et al., (2015) and BLOK (2006).

    The digestibility coefficient (DC) of the evaluated feedstuffs were submitted to analysis of variance using in the model the treatment as fixed effect. Digestibility data obtained in trials I and II were pooled prior to analysis because the variances between the experiments showed homogeneity. In addition, the digestibility of the reference diet was not different between the two trials. Results were submitted to analysis of variance and means were compared by Tukey´s test. All statistical analyses were performed using the MINITAB statistical software (2017).

    RESULTS AND DISCUSSION:

    The analyzed CP content from the rice by-products is shown in table 2. The CP concentration in BRR (9.54) was similar to 9.64%, cited by ROSTAGNO et al. (2011), while the bran presented CP content 16% higher than the values reported by the authors. Protein concentration in BRR and RB can vary by 45 and 33%, respectively (HEUZÉ & TRAN, 2015; HEUZÉ et al. 2017). This variation usually behaves inversely proportional to the fiber content in the feedstuff.

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    Table 2
    Chemical composition and gross energy values of broken rice (BRR), stabilized rice bran (SRB), parboiled rice bran (PRB), dry matter basis.

    The EE in BRR were lower when compared to the 1.20 and 1.29% cited by SAUVANT et al. (2004) and ROSTAGNO et al. (2011); however, it is within the range of variation described by HEUZÉ et al. (2017). The same occurred for SRB and PRB, which also presented variations when compared to each other (16.75 and 25.18%, respectively). During SRB production, oil is removed by pressing, resulting in a lower amount of fat in this byproduct (MUJAHID et al., 2005).

    The NDF and ADF values in BRR are in agreement with those described by ROSTAGNO et al. (2011) and HEUZÉ et al. (2017). This by-product is commonly associated with low fiber content. Fiber occurs in higher amounts in the peripheral layers of the grain, which are removed along with the bran during the polishing process (DORS et al., 2009); nevertheless, NDF values above 12% are presented in NRC (2012). H Higher amounts of NDF and ADF were observed in SRB compared to PRB. Due to the oil extraction, the concentration of other components present in the SRB is increased, which includes fiber.

    The GE values of BRR and SRB were in accordance with those reported in the literature. For BRR, ROSTAGNO et al. (2011) reported a value of 4,332kcal GE/kg, similar to our value of 4,322kcal/kg. Similarly, our value obtained for SRB was closer to that cited by SAUVANT et al. (2004), which averaged 4,973kcal/kg. In relation to the PRB GE, our value was higher when compared to the 4,108kcal/kg reported by AQUINO et al. (2014). The GE variation may be associated to the higher amount of EE in the byproducts, especially in the two brans.

    Results presented in table 3 show higher feces excretion (P<0.00) by the animals receiving SRB and PRB diets. This result was possibly correlated with the higher fiber amount in the bran, which implies a faster passage of the food through the tract, decreasing digestibility (LE GOFF et al., 2002). However, for BRR, the volume of feces may be associated with the characteristics of the starch granules of this byproduct which, because of its small particle size, facilitates the activities of digestive enzymes (EBERT et al., 2005).

    The DC of CP and the GE for BRR were similar to the 88.7% and 93.3% described by EBERT et al. (2005), respectively (Table 3). For the brans, the lowest DC of GE for PRB was observed. The rice byproducts, especially bran, present higher fiber contents, thereby affecting the digestibility in monogastric animals, which includes the reduction of feedstuff GE digestibility (BRITO et al., 2008). Factors such as animal age also influence the digestibility of energy and fiber (LE GOFF et al., 2002).

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    Table 3
    Dry matter balance of experimental diets and nutrient digestibility coefficients of different rice by-products determined with piglets.

    In general, the chemical composition and nutrient digestibility of rice brans were not different from those reported in the literature, except for the CD of NDF that was, on average, 20.53% higher than the values described by ROSTAGNO et al. (2011). Rice byproducts, especially brans, have relatively high fiber levels and; therefore, their recommendation for inclusion in diets for young animals is extremely low (ROSTAGNO et al., 2011).

    Thus, our results may serve as an indication that processes such as parboiling and stabilization can facilitate the fiber digestion by pigs. If we consider the sustainability in animal production, the prospect of increased in the use of byproducts in the pig diet would be extremely important (KERR & SHURSON, 2013). Conversely, BRR is considered a noble feedstuff, widely used in diets for weaned piglets. However, the digestibility values used in diet formulation are average for all pig categories and could not adequately represent a specific phase, such as weaned piglets; and therefore, was included in the present study.

    The DE levels significantly differed among the tested byproducts (P<0.005). A higher DE was observed for BRR and PRB. According to SERANA et al. (2009), high fiber diets may decrease DE levels. A higher content of DE in BRR was expected due to the high amount of starch. However, considering that the PRB contains more fiber in relation to the BRR, a lower DE value for PRB was expected, which could; however, not be observed. It is certain that the differences in EE level have offset the fiber effects.

    The results of the comparison between different NE prediction equations are presented in table 4. For BRR, the average value of NE, using the six equations, was 3,228kcal; the lowest values were observed for the JUST (1982) equation, while the higher values were obtained by the equation described by (LIU et al., 2015). Calculating the difference between the two values, a difference of 311kcal is observed, which is higher than that separating corn from wheat (ROSTAGNO et al., 2011).

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    Table 4
    Equations and net energy (NE) predicted values of broken rice (BRR), stabilized rice bran (SRB) and parboiled rice bran (PRB), in dry matter basis.

    For bran, the average NE values were 2,896 and 3,293kcal for SRB and PRB, respectively. This difference was expected, considering that the PRB has approximately 10% more EE than the SRB. The equation described by LIU et al. (2015) also resulted in the highest NE estimation for bran, regardless of the processing type. This equation was initially proposed for specific feedstuffs (wheat grain and bran, corn DDGS, canola meal, and cotton seed) and may tend to overestimate the real NE value in other raw materials. The equations 3 and 5, proposed by NOBLET (1994) and JUST (1982), presented the lowest NE values for SRB and PRB, respectively. Difference between the energy predicted by each equation reached 190kcal for SRB and 285kcal for PRB, which means that the perception about a feedstuff can change drastically depending on the equation used for NE estimation. Additionally, we emphasize that none of the equations were generated specifically for piglets. However, the JUST et al (1982), NOBLET et al. (1994) and LIU et al (2015) formulas contemplate the entire growth phase, as well as BLOK et al (2006), since their results were derived from dataset of Noblet.

    CONCLUSION:

    The BRR showed higher digestibility coefficients of its nutrients, except for EE and GE, when compared to SRB and PRB. The amount of digestible nutrients resulted in higher DE values in BRR compared to SRB and PRB. For the tested feedstuffs, the NE prediction equations resulted in considerable differences in energy contents.

    REFERENCES:

    • 0
      CR-2017-0576.R1

    ETHICS AND BIOSSECURITY COMMITTEE APROVAL

    • 1
      The experimental protocol was reviewed and approved by the Ethics Committee in Animal Experimentation of the Universidade Federal de Santa Maria (Opinion nº 4749190215).

    Publication Dates

    • Publication in this collection
      2018

    History

    • Received
      17 Aug 2017
    • Accepted
      02 Apr 2018
    • Accepted
      23 Apr 2018
    Creative Common - by 4.0
    This is an open-access article distributed under the terms of the Creative Commons Attribution License
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