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Chowdhury A, Kumar AYN, Kumar R, Maurya VK, Mahesh MS, Singh AK, Yadav PK, Ghosh M. Optimization of microwave parameters to enhance phytochemicals, antioxidants and metabolite profile of de-oiled rice bran. Sci Rep 2024; 14:23959. [PMID: 39397141 PMCID: PMC11471765 DOI: 10.1038/s41598-024-74738-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2024] [Accepted: 09/30/2024] [Indexed: 10/15/2024] Open
Abstract
The current study explores the effects of microwave treatment at varying wattage and durations on the phytoconstituents, antioxidant status, anti-nutritional factors (ANFs), and metabolite profiles of de-oiled rice bran. The total phenolics and flavonoids showed both increases and decreases depending on specific microwave parameters, while flavonol content consistently increased across all treated groups compared to the control. The DPPH and ABTS free radical scavenging activity, total antioxidant capacity, FRAP, CUPRAC, metal chelating activity, and ascorbic acid content were enhanced in most of the microwaved samples; however, longer microwave exposure at higher wattage led to their reduction. A treatment-specific decrease in ANFs, including condensed tannins, oxalates, and phytates, was observed. HRMS-based untargeted metabolomics identified a diverse range of primary and secondary metabolites, which clustered in a group-specific manner, indicating notable group-wise metabolite variations. Analysis of discriminating metabolites revealed no significant differences in the overall levels of phenolics, flavonoids, vitamins and cofactors, sugars, amino acids, terpenoids, fatty acids, and their derivatives among the treated groups compared to the control; however, several individual metabolites within these metabolite classes differed significantly. These findings suggest that optimized microwaving of de-oiled rice bran can enhance phytochemicals and antioxidants while improving the metabolite profile.
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Affiliation(s)
- Alonkrita Chowdhury
- Department of Plant Biotechnology, Institute of Agricultural Sciences, Banaras Hindu University, Rajiv Gandhi South Campus, Barkachha, Mirzapur, U.P., 231001, India
| | - Alla Yaswanth Naveen Kumar
- Department of Plant Biotechnology, Institute of Agricultural Sciences, Banaras Hindu University, Rajiv Gandhi South Campus, Barkachha, Mirzapur, U.P., 231001, India
| | - Rajesh Kumar
- Department of Veterinary Physiology and Biochemistry, Lala Lajpat Rai University of Veterinary and Animal Sciences, Hisar, Haryana, 125004, India
| | - Vivek Kumar Maurya
- High-Resolution Mass Spectrometry Lab, Sophisticated Analytical & Technical Help Institute (SATHI), Central Discovery Center, Banaras Hindu University, Varanasi, U.P., 221005, India
| | - M S Mahesh
- Livestock Farm Complex, Faculty of Veterinary and Animal Sciences, Institute of Agricultural Sciences, Banaras Hindu University, Rajiv Gandhi South Campus, Barkachha, Mirzapur, U.P., 231001, India
| | - Abhishek Kumar Singh
- Department of Animal Nutrition, Faculty of Veterinary and Animal Sciences, Institute of Agricultural Sciences, Banaras Hindu University, Rajiv Gandhi South Campus, Barkachha, Mirzapur, U.P., 231001, India
| | - Pavan Kumar Yadav
- Department of Veterinary Physiology and Biochemistry, Faculty of Veterinary and Animal Sciences, Institute of Agricultural Sciences, Banaras Hindu University, Rajiv Gandhi South Campus, Barkachha, Mirzapur, U.P., 231001, India
| | - Mayukh Ghosh
- Department of Veterinary Physiology and Biochemistry, Faculty of Veterinary and Animal Sciences, Institute of Agricultural Sciences, Banaras Hindu University, Rajiv Gandhi South Campus, Barkachha, Mirzapur, U.P., 231001, India.
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Ouyang Q, Li R, Feng G, Hou G, Jiang X, Liu X, Tang H, Long C, Yin J, Yin Y. Determination and prediction of amino acid digestibility in brown rice for growing-finishing pigs. Anim Biosci 2024; 37:1474-1482. [PMID: 38665090 PMCID: PMC11222864 DOI: 10.5713/ab.23.0455] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Revised: 11/29/2023] [Accepted: 02/18/2024] [Indexed: 07/05/2024] Open
Abstract
OBJECTIVE The experiment aimed to determine the standardized ileal digestibility (SID) of crude protein (CP) and amino acids (AA) in 10 brown rice samples fed to pigs, and to construct predictive models for SID of CP and AA based on the physical characteristics and chemical composition of brown rice. METHODS Twenty-two cannulated pigs (initial body weight: 42.0±1.2 kg) were assigned to a replicated 11×3 incomplete Latin square design, including an N-free diet and 10 brown rice diets. Each period included 5 d adaptation and 2 d ileal digesta collection. Chromic oxide was added at 0.3% to all the diets as an indigestible marker for calculating the ileal CP and AA digestibility. RESULTS The coefficients of variation of all detected indices for physical characteristics and chemical composition, except for bulk weight, dry matter (DM) and gross energy, in 10 brown rice samples were greater than 10%. The SID of CP, lysine (Lys), methionine, threonine (Thr), and tryptophan (Trp) in brown rice was 77.2% (62.6% to 85.5%), 87.5% (80.3% to 94.3%), 89.2% (78.9% to 98.9%), 55.4% (46.1% to 67.6%) and 92.5% (86.3% to 96.3%), respectively. The best prediction equations for the SID of CP, Lys, Thr, and Trp were as following, SIDCP = -664.181+8.484×DM (R2 = 0.40), SIDLys = 53.126+6.031×ether extract (EE)+0.893×thousand-kernel volume (R2 = 0.66), SIDThr = 39.916+7.843×EE (R2 = 0.41), and SIDTrp = -361.588+4.891×DM+0.387×total starch (R2 = 0.85). CONCLUSION Overall, a great variation exists among 10 sources of brown rice, and the thousand-grain volume, DM, EE, and total starch can be used as the key predictors for SID of CP and AA.
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Affiliation(s)
- Qing Ouyang
- College of Animal Science and Technology, Hunan Agricultural University, Hunan Co-Innovation Center of Animal Production Safety, Changsha 410128,
China
| | - Rui Li
- College of Animal Science and Technology, Hunan Agricultural University, Hunan Co-Innovation Center of Animal Production Safety, Changsha 410128,
China
- Key Laboratory of Agro-Ecological Processes in Subtropical Region, National Engineering Laboratory for Poultry Breeding Pollution Control and Resource Technology, Key Laboratory of Animal Nutritional Physiology and Metabolic Process, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125,
China
| | - Ganyi Feng
- Key Laboratory of Agro-Ecological Processes in Subtropical Region, National Engineering Laboratory for Poultry Breeding Pollution Control and Resource Technology, Key Laboratory of Animal Nutritional Physiology and Metabolic Process, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125,
China
| | - Gaifeng Hou
- Key Laboratory of Agro-Ecological Processes in Subtropical Region, National Engineering Laboratory for Poultry Breeding Pollution Control and Resource Technology, Key Laboratory of Animal Nutritional Physiology and Metabolic Process, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125,
China
| | - Xianji Jiang
- College of Animal Science and Technology, Hunan Agricultural University, Hunan Co-Innovation Center of Animal Production Safety, Changsha 410128,
China
- Key Laboratory of Agro-Ecological Processes in Subtropical Region, National Engineering Laboratory for Poultry Breeding Pollution Control and Resource Technology, Key Laboratory of Animal Nutritional Physiology and Metabolic Process, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125,
China
| | - Xiaojie Liu
- College of Animal Science and Technology, Hunan Agricultural University, Hunan Co-Innovation Center of Animal Production Safety, Changsha 410128,
China
- Key Laboratory of Agro-Ecological Processes in Subtropical Region, National Engineering Laboratory for Poultry Breeding Pollution Control and Resource Technology, Key Laboratory of Animal Nutritional Physiology and Metabolic Process, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125,
China
| | - Hui Tang
- College of Animal Science and Technology, Hunan Agricultural University, Hunan Co-Innovation Center of Animal Production Safety, Changsha 410128,
China
- Key Laboratory of Agro-Ecological Processes in Subtropical Region, National Engineering Laboratory for Poultry Breeding Pollution Control and Resource Technology, Key Laboratory of Animal Nutritional Physiology and Metabolic Process, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125,
China
| | - Ciming Long
- Key Laboratory of Agro-Ecological Processes in Subtropical Region, National Engineering Laboratory for Poultry Breeding Pollution Control and Resource Technology, Key Laboratory of Animal Nutritional Physiology and Metabolic Process, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125,
China
| | - Jie Yin
- College of Animal Science and Technology, Hunan Agricultural University, Hunan Co-Innovation Center of Animal Production Safety, Changsha 410128,
China
| | - Yulong Yin
- Key Laboratory of Agro-Ecological Processes in Subtropical Region, National Engineering Laboratory for Poultry Breeding Pollution Control and Resource Technology, Key Laboratory of Animal Nutritional Physiology and Metabolic Process, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125,
China
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Feng G, Li R, Jiang X, Yang G, Tian M, Xiang Q, Liu X, Ouyang Q, Long C, Huang R, Yin Y. Prediction of available energy and amino acid digestibility of Chinese sorghum fed to growing-finishing pigs. J Anim Sci 2023; 101:skad262. [PMID: 37535866 PMCID: PMC10576514 DOI: 10.1093/jas/skad262] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Accepted: 08/02/2023] [Indexed: 08/05/2023] Open
Abstract
Two experiments were conducted to determine digestible energy (DE), metabolizable energy (ME), as well as the standardized ileal digestibility (SID) of crude protein (CP) and amino acids (AA) in 10 sorghum samples fed to pigs. In experiment 1, 22 crossbred barrows (Duroc × Yorkshire × Landrace, Initial body weight [BW]: 70.0 ± 1.8 kg) were selected and allotted to a replicated 11 × 3 incomplete Latin square design, including a basal diet and 10 sorghum energy diets and three consecutive periods. Each period had 7 d adaptation and 5 d total feces and urine collection. The DE and ME were determined by the total collection and the difference method. In experiment 2, 22 crossbred barrows (Duroc × Yorkshire × Landrace, Initial BW: 41.3 ± 1.2 kg) that had a T-cannula installed in the distal ileum were assigned to a replicated 11 × 3 incomplete Latin square design, including an N-free diet and 10 sorghum diets. Each period had 5 d adaptation and 2 d ileal digesta collection. The basal endogenous N losses were measured by the N-free diet method. All diets in experiment 2 were added 0.30% titanium dioxide as an indigestible marker for calculating the ileal CP and AA digestibility. On an as-fed basis, the DE and ME contents in sorghum were 3,410 kcal/kg (2,826 to 3,794 kcal/kg) and 3,379 kcal/kg (2,785 to 3,709 kcal/kg), respectively. The best-fit prediction equation for DE and ME were DE = 6,267.945 - (1,271.154 × % tannin) - (1,109.720 × % ash) (R2 = 0.803) and ME = 51.263 + (0.976 × DE) (R2 = 0.994), respectively. The SID of CP, Lys, Met, Thr, and Trp (SIDCP, SIDLys, SIDMet, SIDThr, and SIDTrp) in 10 sorghum samples were 78.48% (69.56% to 84.23%), 74.27% (61.11% to 90.60%), 92.07% (85.16% to 95.40%), 75.46% (66.39% to 80.80%) and 87.99% (84.21% to 92.37%), respectively. The best prediction equations for SID of CP and the first four limiting AAs were as following: SIDCP = 93.404 - (21.026 × % tannin) (R2 = 0.593), SIDCP = 42.922 - (4.011 × % EE) + (151.774 × % Met) (R2 = 0.696), SIDLys = 129.947 - (670.760 × % Trp) (R2 = 0.821), SIDMet = 111.347 - (232.298 × % Trp) (R2 = 0.647), SIDThr = 55.187 + (3.851 × % ADF) (R2 = 0.609) and SIDTrp = 95.676 - (10.824 × % tannin) (R2 = 0.523), respectively. Overall, tannin and ash are the first and second predictors of DE and ME values of sorghum, respectively, and the tannin, EE, Trp, ash, CF, and ADF can be used as the key predictors for SID of CP and first four limiting AAs.
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Affiliation(s)
- Ganyi Feng
- Key Laboratory of Agro-Ecological Processes in Subtropical Region, Hunan Provincial Key Laboratory of Animal Nutritional Physiology and Metabolic Process, Hunan Research Center of Livestock and Poultry Sciences, South-Central Experimental Station of Animal Nutrition and Feed Science in the Ministry of Agriculture, National Engineering Laboratory for Poultry Breeding Pollution Control and Resource Technology, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China
- University of Chinese Academy of Sciences, Beijing 100039, China
| | - Rui Li
- Key Laboratory of Agro-Ecological Processes in Subtropical Region, Hunan Provincial Key Laboratory of Animal Nutritional Physiology and Metabolic Process, Hunan Research Center of Livestock and Poultry Sciences, South-Central Experimental Station of Animal Nutrition and Feed Science in the Ministry of Agriculture, National Engineering Laboratory for Poultry Breeding Pollution Control and Resource Technology, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China
| | - Xianji Jiang
- Key Laboratory of Agro-Ecological Processes in Subtropical Region, Hunan Provincial Key Laboratory of Animal Nutritional Physiology and Metabolic Process, Hunan Research Center of Livestock and Poultry Sciences, South-Central Experimental Station of Animal Nutrition and Feed Science in the Ministry of Agriculture, National Engineering Laboratory for Poultry Breeding Pollution Control and Resource Technology, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China
- College of Animal Science and Technology, Hunan Co-Innovation Center of Animal Production Safety, Hunan Agricultural University, Changsha 410128, China
| | - Gang Yang
- Key Laboratory of Agro-Ecological Processes in Subtropical Region, Hunan Provincial Key Laboratory of Animal Nutritional Physiology and Metabolic Process, Hunan Research Center of Livestock and Poultry Sciences, South-Central Experimental Station of Animal Nutrition and Feed Science in the Ministry of Agriculture, National Engineering Laboratory for Poultry Breeding Pollution Control and Resource Technology, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China
- College of Animal Science and Technology, Hunan Co-Innovation Center of Animal Production Safety, Hunan Agricultural University, Changsha 410128, China
| | - Mingzhou Tian
- Key Laboratory of Agro-Ecological Processes in Subtropical Region, Hunan Provincial Key Laboratory of Animal Nutritional Physiology and Metabolic Process, Hunan Research Center of Livestock and Poultry Sciences, South-Central Experimental Station of Animal Nutrition and Feed Science in the Ministry of Agriculture, National Engineering Laboratory for Poultry Breeding Pollution Control and Resource Technology, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China
- College of Animal Science and Technology, Hunan Co-Innovation Center of Animal Production Safety, Hunan Agricultural University, Changsha 410128, China
| | - Qiang Xiang
- Key Laboratory of Agro-Ecological Processes in Subtropical Region, Hunan Provincial Key Laboratory of Animal Nutritional Physiology and Metabolic Process, Hunan Research Center of Livestock and Poultry Sciences, South-Central Experimental Station of Animal Nutrition and Feed Science in the Ministry of Agriculture, National Engineering Laboratory for Poultry Breeding Pollution Control and Resource Technology, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China
- College of Animal Science and Technology, Hunan Co-Innovation Center of Animal Production Safety, Hunan Agricultural University, Changsha 410128, China
| | - Xiaojie Liu
- Key Laboratory of Agro-Ecological Processes in Subtropical Region, Hunan Provincial Key Laboratory of Animal Nutritional Physiology and Metabolic Process, Hunan Research Center of Livestock and Poultry Sciences, South-Central Experimental Station of Animal Nutrition and Feed Science in the Ministry of Agriculture, National Engineering Laboratory for Poultry Breeding Pollution Control and Resource Technology, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China
- College of Animal Science and Technology, Hunan Co-Innovation Center of Animal Production Safety, Hunan Agricultural University, Changsha 410128, China
| | - Qing Ouyang
- College of Animal Science and Technology, Hunan Co-Innovation Center of Animal Production Safety, Hunan Agricultural University, Changsha 410128, China
| | - Cimin Long
- Key Laboratory of Agro-Ecological Processes in Subtropical Region, Hunan Provincial Key Laboratory of Animal Nutritional Physiology and Metabolic Process, Hunan Research Center of Livestock and Poultry Sciences, South-Central Experimental Station of Animal Nutrition and Feed Science in the Ministry of Agriculture, National Engineering Laboratory for Poultry Breeding Pollution Control and Resource Technology, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China
| | - Ruilin Huang
- Key Laboratory of Agro-Ecological Processes in Subtropical Region, Hunan Provincial Key Laboratory of Animal Nutritional Physiology and Metabolic Process, Hunan Research Center of Livestock and Poultry Sciences, South-Central Experimental Station of Animal Nutrition and Feed Science in the Ministry of Agriculture, National Engineering Laboratory for Poultry Breeding Pollution Control and Resource Technology, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China
| | - Yulong Yin
- Key Laboratory of Agro-Ecological Processes in Subtropical Region, Hunan Provincial Key Laboratory of Animal Nutritional Physiology and Metabolic Process, Hunan Research Center of Livestock and Poultry Sciences, South-Central Experimental Station of Animal Nutrition and Feed Science in the Ministry of Agriculture, National Engineering Laboratory for Poultry Breeding Pollution Control and Resource Technology, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China
- College of Animal Science and Technology, Hunan Co-Innovation Center of Animal Production Safety, Hunan Agricultural University, Changsha 410128, China
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Wang L, Zeng Z, Hu Q, Wang L, Shi H, Lai C, Zhang S. Determination and prediction of the available energy and amino acids digestibility of full-fat soybean fed to growing pigs. J Anim Sci 2023; 101:skac395. [PMID: 36444860 PMCID: PMC9985155 DOI: 10.1093/jas/skac395] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Accepted: 11/24/2022] [Indexed: 11/30/2022] Open
Abstract
Two experiments were conducted to determine the digestible energy and metabolizable energy contents, as well as the apparent ileal digestibility and standardized ileal digestibility of amino acids in full-fat soybean fed to growing pigs. Ten full-fat soybean samples were collected from different areas in China and used in two experiments in this study. In Exp. 1, 66 growing pigs (initial body weight = 18.48 ± 1.2 kg) were randomly allotted to 1 of 11 diets (n = 6) including a corn basal diet and 10 experimental diets formulated by replacing the corn with 30% full-fat soybean. In Exp. 2, 11 growing pigs (initial body weight = 50.45 ± 3.2 kg) were surgically equipped with a T-cannula in the distal ileum and arranged in a 6 × 11 Youden square design with 11 diets and 6 periods. The diets included an N-free diet based on cornstarch and sucrose and 10 experimental diets formulated with full-fat soybeans as the sole source of amino acids. Chromic oxide was added into the diets as an indigestible maker to calculate the digestibility of the amino acids. Results showed that there was considerable variation in neutral detergent fiber, acid detergent fiber, and trypsin inhibitor contents in the 10 full-fat soybean samples with a coefficient of variation greater than 10%. On a dry matter basis, the averaged digestible energy and metabolizable energy values in the 10 full-fat soybean samples were 4,855 and 4,555 kcal/kg, respectively, both were positively correlated with the ether extract content. The best-fitted prediction equations for digestible energy and metabolizable energy of full-fat soybean were: digestible energy, kcal/kg = 3,472 + 94.87 × ether extract - 97.63 × ash (R2 = 0.91); metabolizable energy, kcal/kg = 3,443 + 65.11 × ether extract - 36.84 × trypsin inhibitor (R2 = 0.91). In addition, all full-fat soybean samples showed high apparent ileal digestibility and standardized ileal digestibility values in amino acids and were all within the range of previously published values. Those values significantly varied among different samples (P < 0.05) for most amino acids, except for glycine and proline. In conclusion, full-fat soybean is a high-quality protein ingredient with high ileal digestibility of amino acids when fed to growing pigs, and the metabolizable energy value of full-fat soybean could be predicted based on its ether extract and trypsin inhibitor contents.
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Affiliation(s)
- Li Wang
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Zhengcheng Zeng
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Qile Hu
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Lu Wang
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Huangwei Shi
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Changhua Lai
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Shuai Zhang
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
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Su W, Jiang Z, Wang C, Zhang Y, Gong T, Wang F, Jin M, Wang Y, Lu Z. Co-fermented defatted rice bran alters gut microbiota and improves growth performance, antioxidant capacity, immune status and intestinal permeability of finishing pigs. ANIMAL NUTRITION (ZHONGGUO XU MU SHOU YI XUE HUI) 2022; 11:413-424. [PMID: 36382202 PMCID: PMC9640948 DOI: 10.1016/j.aninu.2022.07.008] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/02/2021] [Revised: 03/15/2022] [Accepted: 07/25/2022] [Indexed: 05/19/2023]
Abstract
Based on preparation of co-fermented defatted rice bran (DFRB) using Bacillus subtilis, Saccharomyces cerevisiae, Lactobacillus plantarum and phytase, the present study aimed to evaluate the effects of co-fermented DFRB on growth performance, antioxidant capacity, immune status, gut microbiota and permeability in finishing pigs. Ninety finishing pigs (85.30 ± 0.97 kg) were randomly assigned to 3 treatments (3 replicates/treatment) with a basal diet (Ctrl), a basal diet supplemented with 10% unfermented DFRB (UFR), and a basal diet supplemented with 10% fermented DFRB (FR) for 30 d. Results revealed that the diet supplemented with FR notably (P < 0.05) improved the average daily gain (ADG), gain to feed ratio (G:F) and the digestibility of crude protein, amino acids and dietary fiber of finishing pigs compared with UFR. Additionally, FR supplementation significantly (P < 0.05) increased total antioxidant capacity, the activities of superoxide dismutase and catalase, and decreased the content of malonaldehyde in serum. Furthermore, FR remarkably (P < 0.05) increased serum levels of IgG, anti-inflammatory cytokines (IL-22 and IL-23) and reduced pro-inflammatory cytokines (TNF-α, IL-1β and INF-γ). The decrease of serum diamine oxidase activity and serum D-lactate content in the FR group (P < 0.05) suggested an improvement in intestinal permeability. Supplementation of FR also elevated the content of acetate and butyrate in feces (P < 0.05). Moreover, FR enhanced gut microbial richness and the abundance of fiber-degrading bacteria such as Clostridium butyricum and Lactobacillus amylovorus. Correlation analyses indicated dietary fiber in FR was associated with improvements in immune status, intestinal permeability and the level of butyrate-producing microbe C. butyricum, which was also verified by the in vitro fermentation analysis. These findings provided an experimental and theoretical basis for the application of fermented DFRB in finishing pigs.
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Affiliation(s)
- Weifa Su
- Key Laboratory of Molecular Animal Nutrition, Ministry of Education, Zhejiang University, 866 Yuhang Tang Road, Hangzhou, Zhejiang 310058, China
- Key Laboratory of Animal Nutrition and Feed, Ministry of Agriculture, Zhejiang University, 866 Yuhang Tang Road, Hangzhou, Zhejiang 310058, China
- National Engineering Laboratory of Biological Feed Safety and Pollution Prevention and Control, Zhejiang University, 866 Yuhang Tang Road, Hangzhou, Zhejiang 310058, China
- Key Laboratory of Animal Nutrition and Feed Science of Zhejiang Province, Zhejiang University, 866 Yuhang Tang Road, Hangzhou, Zhejiang 310058, China
- College of Animal Science, Institute of Feed Science, Zhejiang University, 866 Yuhang Tang Road, Hangzhou, Zhejiang 310058, China
| | - Zipeng Jiang
- Key Laboratory of Molecular Animal Nutrition, Ministry of Education, Zhejiang University, 866 Yuhang Tang Road, Hangzhou, Zhejiang 310058, China
- Key Laboratory of Animal Nutrition and Feed, Ministry of Agriculture, Zhejiang University, 866 Yuhang Tang Road, Hangzhou, Zhejiang 310058, China
- National Engineering Laboratory of Biological Feed Safety and Pollution Prevention and Control, Zhejiang University, 866 Yuhang Tang Road, Hangzhou, Zhejiang 310058, China
- Key Laboratory of Animal Nutrition and Feed Science of Zhejiang Province, Zhejiang University, 866 Yuhang Tang Road, Hangzhou, Zhejiang 310058, China
- College of Animal Science, Institute of Feed Science, Zhejiang University, 866 Yuhang Tang Road, Hangzhou, Zhejiang 310058, China
| | - Cheng Wang
- Key Laboratory of Molecular Animal Nutrition, Ministry of Education, Zhejiang University, 866 Yuhang Tang Road, Hangzhou, Zhejiang 310058, China
- Key Laboratory of Animal Nutrition and Feed, Ministry of Agriculture, Zhejiang University, 866 Yuhang Tang Road, Hangzhou, Zhejiang 310058, China
- National Engineering Laboratory of Biological Feed Safety and Pollution Prevention and Control, Zhejiang University, 866 Yuhang Tang Road, Hangzhou, Zhejiang 310058, China
- Key Laboratory of Animal Nutrition and Feed Science of Zhejiang Province, Zhejiang University, 866 Yuhang Tang Road, Hangzhou, Zhejiang 310058, China
- College of Animal Science, Institute of Feed Science, Zhejiang University, 866 Yuhang Tang Road, Hangzhou, Zhejiang 310058, China
| | - Yu Zhang
- Key Laboratory of Molecular Animal Nutrition, Ministry of Education, Zhejiang University, 866 Yuhang Tang Road, Hangzhou, Zhejiang 310058, China
- Key Laboratory of Animal Nutrition and Feed, Ministry of Agriculture, Zhejiang University, 866 Yuhang Tang Road, Hangzhou, Zhejiang 310058, China
- National Engineering Laboratory of Biological Feed Safety and Pollution Prevention and Control, Zhejiang University, 866 Yuhang Tang Road, Hangzhou, Zhejiang 310058, China
- Key Laboratory of Animal Nutrition and Feed Science of Zhejiang Province, Zhejiang University, 866 Yuhang Tang Road, Hangzhou, Zhejiang 310058, China
- College of Animal Science, Institute of Feed Science, Zhejiang University, 866 Yuhang Tang Road, Hangzhou, Zhejiang 310058, China
| | - Tao Gong
- Key Laboratory of Molecular Animal Nutrition, Ministry of Education, Zhejiang University, 866 Yuhang Tang Road, Hangzhou, Zhejiang 310058, China
- Key Laboratory of Animal Nutrition and Feed, Ministry of Agriculture, Zhejiang University, 866 Yuhang Tang Road, Hangzhou, Zhejiang 310058, China
- National Engineering Laboratory of Biological Feed Safety and Pollution Prevention and Control, Zhejiang University, 866 Yuhang Tang Road, Hangzhou, Zhejiang 310058, China
- Key Laboratory of Animal Nutrition and Feed Science of Zhejiang Province, Zhejiang University, 866 Yuhang Tang Road, Hangzhou, Zhejiang 310058, China
- College of Animal Science, Institute of Feed Science, Zhejiang University, 866 Yuhang Tang Road, Hangzhou, Zhejiang 310058, China
| | - Fengqin Wang
- Key Laboratory of Molecular Animal Nutrition, Ministry of Education, Zhejiang University, 866 Yuhang Tang Road, Hangzhou, Zhejiang 310058, China
- Key Laboratory of Animal Nutrition and Feed, Ministry of Agriculture, Zhejiang University, 866 Yuhang Tang Road, Hangzhou, Zhejiang 310058, China
- National Engineering Laboratory of Biological Feed Safety and Pollution Prevention and Control, Zhejiang University, 866 Yuhang Tang Road, Hangzhou, Zhejiang 310058, China
- Key Laboratory of Animal Nutrition and Feed Science of Zhejiang Province, Zhejiang University, 866 Yuhang Tang Road, Hangzhou, Zhejiang 310058, China
- College of Animal Science, Institute of Feed Science, Zhejiang University, 866 Yuhang Tang Road, Hangzhou, Zhejiang 310058, China
| | - Mingliang Jin
- Key Laboratory of Molecular Animal Nutrition, Ministry of Education, Zhejiang University, 866 Yuhang Tang Road, Hangzhou, Zhejiang 310058, China
- Key Laboratory of Animal Nutrition and Feed, Ministry of Agriculture, Zhejiang University, 866 Yuhang Tang Road, Hangzhou, Zhejiang 310058, China
- National Engineering Laboratory of Biological Feed Safety and Pollution Prevention and Control, Zhejiang University, 866 Yuhang Tang Road, Hangzhou, Zhejiang 310058, China
- Key Laboratory of Animal Nutrition and Feed Science of Zhejiang Province, Zhejiang University, 866 Yuhang Tang Road, Hangzhou, Zhejiang 310058, China
- College of Animal Science, Institute of Feed Science, Zhejiang University, 866 Yuhang Tang Road, Hangzhou, Zhejiang 310058, China
| | - Yizhen Wang
- Key Laboratory of Molecular Animal Nutrition, Ministry of Education, Zhejiang University, 866 Yuhang Tang Road, Hangzhou, Zhejiang 310058, China
- Key Laboratory of Animal Nutrition and Feed, Ministry of Agriculture, Zhejiang University, 866 Yuhang Tang Road, Hangzhou, Zhejiang 310058, China
- National Engineering Laboratory of Biological Feed Safety and Pollution Prevention and Control, Zhejiang University, 866 Yuhang Tang Road, Hangzhou, Zhejiang 310058, China
- Key Laboratory of Animal Nutrition and Feed Science of Zhejiang Province, Zhejiang University, 866 Yuhang Tang Road, Hangzhou, Zhejiang 310058, China
- College of Animal Science, Institute of Feed Science, Zhejiang University, 866 Yuhang Tang Road, Hangzhou, Zhejiang 310058, China
| | - Zeqing Lu
- Key Laboratory of Molecular Animal Nutrition, Ministry of Education, Zhejiang University, 866 Yuhang Tang Road, Hangzhou, Zhejiang 310058, China
- Key Laboratory of Animal Nutrition and Feed, Ministry of Agriculture, Zhejiang University, 866 Yuhang Tang Road, Hangzhou, Zhejiang 310058, China
- National Engineering Laboratory of Biological Feed Safety and Pollution Prevention and Control, Zhejiang University, 866 Yuhang Tang Road, Hangzhou, Zhejiang 310058, China
- Key Laboratory of Animal Nutrition and Feed Science of Zhejiang Province, Zhejiang University, 866 Yuhang Tang Road, Hangzhou, Zhejiang 310058, China
- College of Animal Science, Institute of Feed Science, Zhejiang University, 866 Yuhang Tang Road, Hangzhou, Zhejiang 310058, China
- Corresponding author.
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Effects of Defatted Rice Bran Inclusion Level on Nutrient Digestibility and Growth Performance of Different Body Weight Pigs. Animals (Basel) 2021; 11:ani11051374. [PMID: 34065992 PMCID: PMC8151612 DOI: 10.3390/ani11051374] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2021] [Revised: 04/10/2021] [Accepted: 04/30/2021] [Indexed: 12/29/2022] Open
Abstract
Simple Summary Feed grain, including corn and soybean meal, prices, which are the company’s primary raw materials, have fluctuated and escalated in recent years. Defatted rice bran, an abundant and underutilized agricultural coproduct of the paddy rice, can be used as a replacement. Additionally, nitrogen emitted as ammonia from swine manure has a negative effect on ambient air quality. This study evaluated the effects of defatted rice bran inclusion level in low-protein diets on growth performance and nutrient digestibility of different body weight pigs. Results showed that there is no difference for average daily gain for three weight stages, it meant that defatted rice bran could be used as a replacement for corns and soybean meal. Nutrient digestibility has significant difference. The study supported some theoretical foundation for the application of defatted rice bran. Abstract This study was conducted to determine the effects of low-protein diet prepared with different levels of defatted rice bran (DFRB) and weight stages on growth performance and nutrient digestibility of growing–finishing pigs. The animal experiment included three stages. A total of 240 growing pigs with an initial body weight of 28.06 ± 8.56 kg for stage 1 were allocated to five diets including one control group and four DFRB diets supplemented with 2.5%, 5%, 7.5% and 10% DFRB, respectively. The 192 crossbred pigs with initial body weights of 55.03 ± 7.31 kg and 74.55 ± 9.10 kg were selected for stage 2 and stage 3, respectively. Pigs were allocated to four diets including one control group and three DFRB diets supplemented with 10%, 15% and 20% DFRB, respectively. The results showed that with the increase in DFEB intake, the gain: feed was linearly increased (p < 0.05), and the average daily feed intake tended to linearly decrease (p = 0.06) in stage 1. Except for the apparent total tract digestibility (ATTD) of acid detergent fiber (ADF) in stage 3, levels of DFRB had significant effects on the ATTD of gross energy (GE), dry matter (DM), ash, neutral detergent fiber (NDF) and ADF in three weight stages. In stage 1, with the increase in levels of DFRB, the ATTD of NDF and hemicellulose were firstly increased and then decreased (p < 0.01). In stage 2, with the increasing levels of DFRB, the ATTD of DM, ash and cellulose were firstly increased and then decreased (p < 0.01). In stage 3, the ATTD of GE, DM, ash, NDF and hemicellulose decreased linearly with the increase in levels of DFRB (p < 0.01). Collectively, DFRB could be used as a replacement for corns and soybean meal, and weight stage is important to consider when adjusting the additive proportion.
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Liu Z, Zhong R, Li K, Chen L, Zhang B, Liu L, Zhang H. Evaluation of energy values of high-fiber dietary ingredients with different solubility fed to growing pigs using the difference and regression methods. ACTA ACUST UNITED AC 2021; 7:569-575. [PMID: 34258446 PMCID: PMC8245795 DOI: 10.1016/j.aninu.2020.07.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2020] [Revised: 06/03/2020] [Accepted: 07/09/2020] [Indexed: 11/23/2022]
Abstract
The objective of this study was to compare the energy values of high-fiber dietary ingredients with different solubility (sugar beet pulp [SBP] and defatted rice bran [DFRB]) in growing pigs using the difference and the regression methods. A total of 21 barrows (initial BW, 40.5 ± 1.2 kg) were assigned to 3 blocks with BW as a blocking factor, and each block was assigned to a 7 × 2 incomplete Latin square design with 7 diets and two 13-d experimental periods. The 7 experimental diets consisted of a corn-soybean meal basal diet and 6 additional diets containing 10%, 20%, or 30% SBP or DFRB in the basal diet, respectively. Each of the experimental periods lasted 12 d, with a 7 d dietary adaptation period followed by 5-d total fecal and urine collection. Results showed that the digestible energy (DE) and metabolizable energy (ME) of the SBP determined by the difference method with different inclusion levels (10%, 20%, or 30%) were 2,712 and 2,628 kcal/kg, 2,683 and 2,580 kcal/kg, and 2,643 and 2,554 kcal/kg DM basis, respectively. The DE and ME in the DFRB evaluated by the difference method with 3 different inclusion levels were 2,407 and 2,243 kcal/kg, 2,687 and 2,598 kcal/kg, and 2,630 and 2,544 kcal/kg DM basis, respectively. Different inclusion levels had no effects on the energy values of each test ingredient estimated by the difference method. The DE and ME of the SBP and the DFRB estimated by the regression method were 2,562 and 2,472 kcal/kg and 2,685 and 2,606 kcal/kg DM basis, respectively. The energy values of each ingredient determined by the regression method were similar to the values estimated by the difference method with the 20% or 30% inclusion level. However, the energy values of the SBP and DFRB estimated by the difference method with the 10% inclusion level were inconsistent with the values determined by the regression method (P < 0.05). In conclusion, the regression method was a robust indirect method to evaluate the energy values for high-fiber ingredients with different solubility in growing pigs. If the number of experimental animals was limited, the difference method with a moderate inclusion level (at least 20%) of the test high-fiber ingredient in the basal diet could be applied to substitute the regression method.
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Affiliation(s)
- Zhengqun Liu
- State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China.,Institute of Animal Science and Veterinary, Tianjin Academy of Agricultural Sciences, Tianjin, 300381, China
| | - Ruqing Zhong
- State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
| | - Kai Li
- State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
| | - Liang Chen
- State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
| | - Bifeng Zhang
- State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
| | - Lei Liu
- State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
| | - Hongfu Zhang
- State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
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Huang B, Wang L, Lyu Z, Wang L, Zang J, Li D, Lai C. Evaluation on Net Energy of Defatted Rice Bran from Different Origins and Processing Technologies Fed to Growing Pigs. Animals (Basel) 2021; 11:ani11041106. [PMID: 33921524 PMCID: PMC8069966 DOI: 10.3390/ani11041106] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2021] [Revised: 03/28/2021] [Accepted: 04/08/2021] [Indexed: 11/10/2022] Open
Abstract
Simple Summary In recent years, prices of imported staples such as corn and soybean meal have risen dramatically. Defatted rice bran (DFRB), an abundant and underutilized agricultural coproduct of the paddy rice, was a replacement of corn and soybean meal. It is necessary to comprehensively evaluate the nutritional value of DFRB. This study determined and compared the net energy (NE) of DFRB from different sources and different processing technology fed to growing pigs using indirect calorimetry. Results indicated that NE contents of extruded DFRB from different provinces were within the range of values ((8.24 to 10.22 MJ/kg dry matter (DM)). The NE contents of extruded DFRB and pelleted DFRB from the same province were 8.24 vs. 6.56 MJ/kg DM. This study showed that there is a discrepancy of approximately 10.01% in the NE content between the DFRB origins. The data above suggested that NE content of DFRB could be related to DFRB origins and processing technology. More NE contents of different DFRB samples deserve to be explored further. The study supported some theoretical foundation for the application of DFRB in the NE system. Abstract The study was conducted to determine and compare the net energy (NE) of defatted rice bran (DFRB) from different sources and different processing technology fed to growing pigs using indirect calorimetry. Thirty-six growing barrows (30.7 ± 3.9 kg) were randomly allotted to 1 of 6 diets with 6 replicate pigs per diet. Diets included a corn-soybean meal basal diet and 5 test diets containing 30% DFRB, respectively. These five samples come from 4 different provinces (i.e., Heilongjiang, Jiangsu, Jilin, and Liaoning province within China) and two of them with the same origin but different processing technologies (i.e., extruded or pelleted). During each period, pigs were kept individually in metabolism crates for 21 days, including 14 days to adapt to the diets. On day 15, pigs were transferred to the open-circuit respiration chambers for adaptation, and the next day were ready to determine daily total heat production (HP) and were fed 1 of the 6 diets at 2.3 MJ metabolizable energy (ME)/kg body weight (BW)0.6/day. Total feces and urine were collected for the determination of digestible energy (DE) and ME and daily total HP was measured from day 16 to day 20 and fasted on day 21 for the measurement of fasting heat production (FHP). The NE contents of extruded DFRB from different provinces were within the range of values (8.24 to 10.22 MJ/kg DM). There is a discrepancy of approximately 10.01% in the NE content between the DFRB origins. The NE contents of extruded DFRB and pelleted DFRB from the same province were 8.24 vs. 6.56 MJ/kg DM. Retained energy (RE) and FHP of diets containing extruded DFRB and pelleted DFRB were 1105 vs. 892 kJ/kg BW0.6/day and 746 vs. 726 kJ/kg BW0.6/day respectively, and those in extruded DFRB from different origins were within the range of values (947 to 1105 kJ/kg BW0.6/day and 726 to 755 kJ/kg BW0.6/day, respectively). In conclusion, NE values are affected by origin and processing technology of DFRB.
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Liu Z, Zhong R, Chen L, Xie F, Li K, Liu L, Zhang H. Effects of Collection Durations on the Determination of Energy Values and Nutrient Digestibility of High-Fiber Diets in Growing Pigs by Total Fecal Collection Method. Animals (Basel) 2020; 10:ani10020228. [PMID: 32023906 PMCID: PMC7070457 DOI: 10.3390/ani10020228] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2020] [Revised: 01/26/2020] [Accepted: 01/29/2020] [Indexed: 01/01/2023] Open
Abstract
Simple Summary The total fecal collection method is the gold standard to estimate the energy values and nutrient digestibility of the swine diet. However, there is no standard collection duration for animals that should be sampled in swine research using the total fecal collection method. Thus, this study aimed to investigate the effects of different collection durations (3-day, 5-day, or 7-day) on energy values and nutrient digestibility of high-fiber diets in growing pigs by time-based total fecal collection method. The results showed that the digestible energy (DE), metabolizable energy (ME), and apparent total tract digestibility (ATTD) of gross energy (GE) and most nutrients in diets decreased linearly as the collection duration increased from a 3-day to a 7-day collection. However, there were no differences in the ATTD of GE and nutrient between the 5-day and 7-day collection durations. In addition, the energy values and the ATTD of GE and nutrient of high-fiber ingredients (sugar beet pulp (SBP) or defatted rice bran (DFRB)) were also not affected by the collection durations. Therefore, the results of this research suggest that a 5-day collection duration is adequate to determine the energy values and the ATTD of nutrient in diets containing high-fiber ingredients for growing pigs by time-based total fecal collection method. Abstract This study was conducted to evaluate the effect of collection durations on the energy values and nutrient digestibility of high-fiber diets in growing pigs with a time-based total fecal collection method. A total of 24 barrows (body weight (BW): 31.1 ± 1.5 kg) were allotted to a completely randomized design with three diets. Diets included a corn–soybean meal (CSM) basal diet and two additional diets containing 20% sugar beet pulp (SBP) or defatted rice bran (DFRB) by replacing corn, soybean meal, and soybean oil in the CSM diet, respectively. Each diet was fed to eight barrows for a 7-day adaptation period followed by a 7-day total feces and urine collection period. The 7-day collection duration was divided into three collection phases, namely, phase 1 (days 8 to 11), phase 2 (days 11 to 13), and phase 3 (days 13 to 15). Then, similar portions of feces and urine from the different collection phases were composited into three additional samples (days 8 to 11, days 8 to 13, and days 8 to 15, respectively). The results showed that the digestible energy (DE), metabolizable energy (ME), and apparent total tract digestibility (ATTD) of gross energy (GE) and nutrient in experimental diets decreased linearly as the collection durations increased from a 3-day to a 7-day collection (p < 0.05). However, there were no differences in the energy values, GE, and nutrient digestibility of diets and of high-fiber ingredients between the 5-day and 7-day collection durations. In conclusion, this study suggests that a 5-day collection duration is adequate to determine the energy values and nutrient digestibility of high-fiber diets containing SBP or DFRB in growing pigs by the time-based total fecal collection method.
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Affiliation(s)
| | | | - Liang Chen
- Correspondence: (L.C.); (H.Z.); Tel.: +86-10-62816249 (L.C.); +86-10-62818910 (H.Z.)
| | | | | | | | - Hongfu Zhang
- Correspondence: (L.C.); (H.Z.); Tel.: +86-10-62816249 (L.C.); +86-10-62818910 (H.Z.)
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The Effect of Different Dietary Levels of Defatted Rice Bran on Growth Performance, Slaughter Performance, Serum Biochemical Parameters, and Relative Weights of the Viscera in Geese. Animals (Basel) 2019; 9:ani9121040. [PMID: 31795119 PMCID: PMC6940723 DOI: 10.3390/ani9121040] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2019] [Revised: 11/19/2019] [Accepted: 11/25/2019] [Indexed: 11/24/2022] Open
Abstract
Simple Summary Geese production is becoming more specialized and widespread in China. Feed constitutes approximately 70% of the cost of poultry production. Defatted rice bran (DFRB) is currently used in poultry feed as a cheaper alternative option compared to corn and soybean meal. China is the largest rice producer in the world. When rice is processed into white rice, byproducts are produced. One of the most important byproducts is DFRB. It was found that a high level of DFRB had negative effects on the growth performance in geese (up to 20%). Abstract This study investigated the effect of different dietary levels of defatted rice bran (DFRB) on growth performance, slaughter performance, and relative weights of the viscera in geese. A total of 300 28-day-old healthy male Yangzhou goslings with similar body weights were randomly divided into five groups, with six replicates per group and 10 geese per replicate. The geese were fed diets containing 0%, 10%, 20%, 30%, or 40% DFRB for 42 days. Over the 29-d to 70-d trial period, no significant difference was observed in the average daily feed intake in geese (p > 0.05). However, 30% and 40% DFRB reduced body weights of geese at 70 d (p < 0.01) and average daily gain from 28 d to 70 d (p < 0.05) were observed, and 20%, 30%, and 40% DFRB increased feed-to-gain ratios from 28 d to 70 d (p < 0.01). Birds in the 30% and 40% DFRB groups had reduced breast yields (p < 0.05), and birds in the 40% DFRB group had increased thigh yields (p < 0.05). Birds in the 20%, 30%, and 40% DFRB groups had increased proventriculus weights (p < 0.01). The results suggested that a high level of DFRB affected growth performance, slaughter performance, and visceral development. Under the experimental conditions, we recommend that the dietary level of DFRB should not exceed 20% to avoid negative effects on geese.
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Lyu Z, Li Q, Zhang S, Lai C, Huang C. Available energy and amino acid digestibility of yellow dent corn fed to growing pigs1. J Anim Sci 2019; 97:2952-2964. [PMID: 31074782 DOI: 10.1093/jas/skz161] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2019] [Accepted: 05/10/2019] [Indexed: 01/10/2023] Open
Abstract
Two experiments were conducted to determine the DE and ME as well as the apparent ileal digestibility (AID) and standardized ileal digestibility (SID) of CP and AA in corn fed to growing pigs. All corn was yellow dent corn collected from different areas in China. In Exp. 1, 60 crossbred barrows (Duroc × Landrace × Yorkshire; 40.7 ± 3.5 kg BW) were randomly allotted to 1 of 10 diets to determine the DE and ME of corns. Diets were formulated to contain 96.8% of 1 of the 10 corn samples and 3.2% of other microingredients. In Exp. 2, 11 crossbred barrows (Duroc × Landrace × Yorkshire; 30.5 ± 2.3 kg) fitted with a T-cannula at the distal ileum were assigned to a 6 × 11 Youden square design with 6 periods and 11 diets. Diets included a N-free diet based on cornstarch and sucrose and 10 test diets formulated with 96.6% 1 of the 10 corns as the sole source of AA. Chromic oxide (0.3%) was added to each diet as an indigestible marker for calculating the AA digestibility. On a DM basis, the starch, ether extract (EE), CP, NDF, and ADF contents of corns averaged 74.05% (69.98 to 78.59%), 3.83% (2.04 to 4.73%), 9.63% (7.74 to 10.43%), 10.80% (10.27 to 11.46%), and 2.27% (2.03 to 2.57%), respectively. The CV of EE, CP, and ADF was 22.59, 8.22, and 8.21%, respectively. The DE and ME of corns averaged 4,087 and 3,981 kcal/kg, respectively, and ranged from 3,999 to 4,161 kcal/kg and from 3,898 to 4,067 kcal/kg, respectively. The DE and ME values were positively correlated (P < 0.05) with the EE content. Optimal prediction equations of ME were ME = 940.35 + (0.72 × DE) + (21.88 × EE) (R2 = 0.94) or ME = 1,051.50 + (0.82 × DE) - (282.05 × ash) (R2 = 0.99). In Exp. 2, significant differences (P < 0.05) were observed in the SID of Arg, His, Phe, Ala, Pro, Cys, and Tyr. The SID of Lys (average 73.79%), Met (average 87.32%), and Thr (average 80.06%) ranged from 61.45 to 78.47%, from 74.09 to 90.91%, and from 79.19 to 85.79%, respectively. The standardized ileal digestible Met was positively correlated (P < 0.01) with the Met and CP contents. The obtained prediction equations were standardized ileal digestible Met = 31.34 + (3.43 × CP) + (116.04 × Met) and standardized ileal digestible Met = 104.92 + (294.71 × Met) - (7.03 × NDF). In conclusion, sources had an effect on the energy values and ileal digestibility of most AA in corn. The ME can be predicted by the DE combined with either the EE or ash content. The AA concentrations and SID of AA in corn varied largely.
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Affiliation(s)
- Zhiqian Lyu
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing, P.R. China
| | - Quanfeng Li
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing, P.R. China
| | - Shuai Zhang
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing, P.R. China
| | - Changhua Lai
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing, P.R. China
| | - Chengfei Huang
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing, P.R. China
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