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Li Z, Gao W, Shi H, Xu S, Zeng Z, Wang F, Lai C, Zhang S. Evaluating the Net Energy Requirements for Maintenance Based on Indirect Calorimetry and Heart Rate Monitoring in Gestating Sows. Animals (Basel) 2024; 14:2907. [PMID: 39409856 PMCID: PMC11475035 DOI: 10.3390/ani14192907] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2024] [Revised: 09/18/2024] [Accepted: 10/07/2024] [Indexed: 10/20/2024] Open
Abstract
The objectives of this study were (1) to determine the net energy requirements for the maintenance of gestating sows based on indirect calorimetry, and (2) to explore the feasibility of predicting the net energy requirements for the maintenance of gestating sows based on daily heart rate monitoring. In Exp. 1, six Landrace × Yorkshire crossbred reproductive sows with an initial body weight of 229.5 ± 14.9 kg at d 56 of gestation were randomly assigned to six diverse energy feeding levels using a 6 × 6 Latin square design. The experimental diet was formulated using corn, soybean meal, and wheat bran as major ingredients, and the six feeding levels were set as 1.2, 1.4, 1.6, 1.8, 2.0, and 2.2 times metabolizable energy for maintenance (100 kcal ME/kg BW0.75·d-1), respectively. The animal trial lasted for six periods with 9 days per period, encompassing 5 days of adaptation, 3 days of calorimetry in fed state, and 1 day of calorimetry in fasting state. In Exp. 2, six Landrace × Yorkshire crossbred pregnant sows with an initial body weight of 232.5 ± 12.5 kg at d 64 were fed a corn-soybean meal diet. All sows were tested in a respiratory calorimetry chamber for a 4 day calorimetry test. The heat production of the gestation sows was measured every 5 min using indirect calorimetry, and the heart rate of the gestating sows was recorded every minute using a belt-shape monitor. The results showed that the net energy requirements for the maintenance of gestating sows significant increased as the gestational stage progressed (p < 0.05), and a linear regression model revealed the average net energy requirement for the maintenance of gestating sows was 410 kJ/BW0.75 d-1 during late gestation (days 70-110). Moreover, the average heart rate of the gestating sows was 84 bpm, and the mathematical model developed to predict the net energy requirements for the maintenance of gestating sows was NEm(kcal/h)=19901+exp[136-HR(bpm)43]. In conclusion, the average net energy requirement for the maintenance of sows during late gestation was 410 kJ/BW0.75 d-1, and the utilization of the heart rate monitoring method was found to provide a relevant, accurate prediction for the net energy requirements of sows.
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Affiliation(s)
- Zhe Li
- State Key Laboratory of Animal Nutrition and Feeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China; (Z.L.); (W.G.); (H.S.); (S.X.); (Z.Z.); (F.W.)
- National Center of Technology Innovation for Pigs (North China Branch), Ministry of Agriculture and Rural Affairs Feed Industry Center, China Agricultural University, Beijing 100193, China
| | - Wenjun Gao
- State Key Laboratory of Animal Nutrition and Feeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China; (Z.L.); (W.G.); (H.S.); (S.X.); (Z.Z.); (F.W.)
- National Center of Technology Innovation for Pigs (North China Branch), Ministry of Agriculture and Rural Affairs Feed Industry Center, China Agricultural University, Beijing 100193, China
| | - Huangwei Shi
- State Key Laboratory of Animal Nutrition and Feeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China; (Z.L.); (W.G.); (H.S.); (S.X.); (Z.Z.); (F.W.)
- National Center of Technology Innovation for Pigs (North China Branch), Ministry of Agriculture and Rural Affairs Feed Industry Center, China Agricultural University, Beijing 100193, China
| | - Song Xu
- State Key Laboratory of Animal Nutrition and Feeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China; (Z.L.); (W.G.); (H.S.); (S.X.); (Z.Z.); (F.W.)
- National Center of Technology Innovation for Pigs (North China Branch), Ministry of Agriculture and Rural Affairs Feed Industry Center, China Agricultural University, Beijing 100193, China
| | - Zhengcheng Zeng
- State Key Laboratory of Animal Nutrition and Feeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China; (Z.L.); (W.G.); (H.S.); (S.X.); (Z.Z.); (F.W.)
- National Center of Technology Innovation for Pigs (North China Branch), Ministry of Agriculture and Rural Affairs Feed Industry Center, China Agricultural University, Beijing 100193, China
| | - Fenglai Wang
- State Key Laboratory of Animal Nutrition and Feeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China; (Z.L.); (W.G.); (H.S.); (S.X.); (Z.Z.); (F.W.)
- National Center of Technology Innovation for Pigs (North China Branch), Ministry of Agriculture and Rural Affairs Feed Industry Center, China Agricultural University, Beijing 100193, China
| | - Changhua Lai
- State Key Laboratory of Animal Nutrition and Feeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China; (Z.L.); (W.G.); (H.S.); (S.X.); (Z.Z.); (F.W.)
- National Center of Technology Innovation for Pigs (North China Branch), Ministry of Agriculture and Rural Affairs Feed Industry Center, China Agricultural University, Beijing 100193, China
| | - Shuai Zhang
- State Key Laboratory of Animal Nutrition and Feeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China; (Z.L.); (W.G.); (H.S.); (S.X.); (Z.Z.); (F.W.)
- National Center of Technology Innovation for Pigs (North China Branch), Ministry of Agriculture and Rural Affairs Feed Industry Center, China Agricultural University, Beijing 100193, China
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Shipman GL, Perez-Palencia JY, Rogiewicz A, Patterson R, Levesque CL. Evaluation of multienzyme supplementation and fiber levels on nutrient and energy digestibility of diets fed to gestating sows and growing pigs. J Anim Sci 2023; 101:skad375. [PMID: 37936246 PMCID: PMC10752346 DOI: 10.1093/jas/skad375] [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: 07/10/2023] [Accepted: 11/02/2023] [Indexed: 11/09/2023] Open
Abstract
The objective was to investigate the effect of a multienzyme blend (MEblend) and inclusion level on apparent total tract digestibility (ATTD) of energy and nutrients, as well as ileal digestibility of crude protein (CP) and amino acids (AA) in gestation diets with low (LF) or high-dietary fiber (HF) fed to gestation sows. For comparison, growing pigs were fed the same HF diets to directly compare ATTD values with the gestating sows. In experiment 1, 45 gestating sows (parity 0 to 5; 187 ± 28 kg bodyweight; BW) were blocked by parity in a 2 × 3 factorial arrangement and fed 2.2 kg/d of the HF (17.5% neutral detergent fiber; NDF) or LF (13% NDF) diet and one of three levels of MEblend (0.0%, 0.08%, and 0.1%) to determine impacts of MEblend on ATTD. Twenty-seven growing pigs (initial 35.7 ± 3.32 kg BW) were fed the same HF diet (5% of BW) and one of three MEblend inclusions. The MEblend at both 0.08% and 0.1% increased ATTD of energy, NDF, and acid detergent fiber (ADF) (P < 0.05) in gestating sows but ATTD of total non-starch polysaccharides (NSP) and its residues were not affected. Sows fed HF, regardless of MEblend, had greater ATTD of NDF, xylose, and total NSP (P < 0.05) in comparison to grower pigs. In experiment 2, ileal cannulas were placed in 12 gestating sows (parity 0 to 2; BW 159 ± 12 kg) to determine apparent and standardized ileal digestibility (AID and SID) of AA and NSP. In a crossover design, sows were fed the same six diets, as in experiment 1, and a nitrogen-free diet during five periods of seven days each to achieve eight replicates per diet. There was no interaction between diet fiber level and MEblend inclusion. Supplementation of MEblend to gestating sow diets did not impact SID of CP and AA regardless of dietary fiber level. The SID of His, Ile, Lys, Phe, Thr, Trp, and Val were 3% to 6% lower (P < 0.09) in HF than LF independent of MEblend. Supplementation of MEblend did not impact AID of NSP components, but sows fed HF had higher AID of arabinose (LF: 26.5% vs. HF: 40.6%), xylose (LF: 3.5% vs. HF: 40.9%), and total NSP (LF: 25.9% vs. HF: 40.0%) compared to sows fed LF (P < 0.05). Dietary supplementation of MEblend increased ATTD of nutrients, NSP, and energy in diets fed to gestating sows regardless of inclusion level, with MEblend having a greater incremental increase in diets with lower NDF levels. Inclusion of MEblend impacted neither SID of AA nor AID of NSP in low- or high-fiber gestation diets, but high-fiber diet, negatively affected SID of AA.
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Affiliation(s)
- Garrin L Shipman
- Department of Animal Science, South Dakota State University, Brookings, SD, 57007
| | | | - Anna Rogiewicz
- Department of Animal Science, University of Manitoba, Winnipeg, MB, R3T 2N2, Canada
| | | | - Crystal. L Levesque
- Department of Animal Science, South Dakota State University, Brookings, SD, 57007
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Liu X, Ban Z, Yan X, Yang H, Liang H, Yan L, Nie W. Nutrient utilisation, metabolisable and net energy values of corn for broiler chickens during the starter and grower phases. J Anim Physiol Anim Nutr (Berl) 2022. [DOI: 10.1111/jpn.13785] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2022] [Revised: 09/22/2022] [Accepted: 10/04/2022] [Indexed: 11/30/2022]
Affiliation(s)
- Xingbo Liu
- National Key Laboratory of Animal Nutrition, College of Animal Science China Agricultural University Beijing China
| | - Zhibin Ban
- National Key Laboratory of Animal Nutrition, College of Animal Science China Agricultural University Beijing China
- Laboratory of Animal Nutrition Metabolism Jilin Academy of Agricultural Sciences Jilin China
| | - Xiaogang Yan
- Laboratory of Animal Nutrition Metabolism Jilin Academy of Agricultural Sciences Jilin China
| | - Huaming Yang
- Laboratory of Animal Nutrition Metabolism Jilin Academy of Agricultural Sciences Jilin China
| | - Hao Liang
- Laboratory of Animal Nutrition Metabolism Jilin Academy of Agricultural Sciences Jilin China
| | - Lei Yan
- Shandong New Hope Liuhe Group Co., Ltd. Qingdao China
| | - Wei Nie
- National Key Laboratory of Animal Nutrition, College of Animal Science China Agricultural University Beijing China
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Shurson GC, Hung YT, Jang JC, Urriola PE. Measures Matter-Determining the True Nutri-Physiological Value of Feed Ingredients for Swine. Animals (Basel) 2021; 11:1259. [PMID: 33925594 PMCID: PMC8146707 DOI: 10.3390/ani11051259] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2021] [Revised: 04/05/2021] [Accepted: 04/12/2021] [Indexed: 01/10/2023] Open
Abstract
Many types of feed ingredients are used to provide energy and nutrients to meet the nutritional requirements of swine. However, the analytical methods and measures used to determine the true nutritional and physiological ("nutri-physiological") value of feed ingredients affect the accuracy of predicting and achieving desired animal responses. Some chemical characteristics of feed ingredients are detrimental to pig health and performance, while functional components in other ingredients provide beneficial health effects beyond their nutritional value when included in complete swine diets. Traditional analytical procedures and measures are useful for determining energy and nutrient digestibility of feed ingredients, but do not adequately assess their true physiological or biological value. Prediction equations, along with ex vivo and in vitro methods, provide some benefits for assessing the nutri-physiological value of feed ingredients compared with in vivo determinations, but they also have some limitations. Determining the digestion kinetics of the different chemical components of feed ingredients, understanding how circadian rhythms affect feeding behavior and the gastrointestinal microbiome of pigs, and accounting for the functional properties of many feed ingredients in diet formulation are the emerging innovations that will facilitate improvements in precision swine nutrition and environmental sustainability in global pork-production systems.
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Affiliation(s)
- Gerald C. Shurson
- Department of Animal Science, University of Minnesota, St. Paul, MN 55108, USA; (Y.-T.H.); (J.C.J.); (P.E.U.)
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Li Z, Lyu Z, Liu H, Liu D, Jaworski N, Li Y, Lai C. Prediction of net energy values in expeller-pressed and solvent-extracted rapeseed meal for growing pigs. Anim Biosci 2020; 34:109-118. [PMID: 32299168 PMCID: PMC7888491 DOI: 10.5713/ajas.19.0962] [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: 12/18/2019] [Accepted: 03/26/2020] [Indexed: 12/04/2022] Open
Abstract
Objective The objective of this study was to determine net energy (NE) of expeller-press (EP-RSM) and solvent-extracted rapeseed meal (SE-RSM) and to establish equations for predicting the NE in rapeseed meal (RSM) fed to growing pigs. Methods Thirty-six barrows (initial body weight [BW], 41.1±2.2 kg) were allotted into 6 diets comprising a corn-soybean meal basal diet and 5 diets containing 19.50% RSM added at the expense of corn and soybean meal. The experiment had 6 periods and 6 replicate pigs per diet. During each period, the pigs were individually housed in metabolism crates for 16 days which included 7 days for adaption to diets. On day 8, pigs were transferred to respiration chambers and fed their respective diet at 2,000 kJ metabolizable energy (ME)/kg BW0.6/d. Feces and urine were collected, and daily heat production was measured from day 9 to 13. On days 14 and 15, the pigs were fed at 890 kJ ME/kg BW0.6/d and fasted on day 16 for evaluation of fasting heat production (FHP). Results The FHP of pigs averaged 790 kJ/kg BW0.6/d and was not affected by the diet composition. The NE values were 10.80 and 8.45 MJ/kg DM for EP-RSM and SE-RSM, respectively. The NE value was positively correlated with gross energy (GE), digestible energy (DE), ME, and ether extract (EE). The best fit equation for NE of RSM was NE (MJ/kg DM) = 1.14×DE (MJ/kg DM)+0.46×crude protein (% of DM)–25.24 (n = 8, R2 = 0.96, p<0.01). The equation NE (MJ/kg DM) = 0.22×EE (% of DM)–0.79×ash (% of DM)+14.36 (n = 8, R2 = 0.77, p = 0.018) may be utilized to quickly determine the NE in RSM when DE or ME values are unavailable. Conclusion The NE values of EP-RSM and SE-RSM were 10.80 and 8.45 MJ/kg DM. The NE value of RSM can be well predicted based on energy content (GE, DE, and ME) and proximate analysis.
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Affiliation(s)
- Zhongchao Li
- State Key Laboratory of Animal Nutrition, Ministry of Agriculture Feed Industry Centre, China Agricultural University, Beijing 100193, China
| | - Zhiqian Lyu
- State Key Laboratory of Animal Nutrition, Ministry of Agriculture Feed Industry Centre, China Agricultural University, Beijing 100193, China
| | - Hu Liu
- State Key Laboratory of Animal Nutrition, Ministry of Agriculture Feed Industry Centre, China Agricultural University, Beijing 100193, China
| | - Dewen Liu
- State Key Laboratory of Animal Nutrition, Ministry of Agriculture Feed Industry Centre, China Agricultural University, Beijing 100193, China
| | - Neil Jaworski
- Trouw Nutrition, Veerstraat 38, 5831 JN Boxmeer, The Netherlands
| | - Yakui Li
- State Key Laboratory of Animal Nutrition, Ministry of Agriculture Feed Industry Centre, China Agricultural University, Beijing 100193, China
| | - Changhua Lai
- State Key Laboratory of Animal Nutrition, Ministry of Agriculture Feed Industry Centre, China Agricultural University, Beijing 100193, China
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Lyu Z, Zang J, Lai C, Li P, Ma D, Zhao J, Zhang S, Huang C. Effects of dietary fibre level and body weight of pigs on nutrient digestibility and available energy in high-fibre diet based on wheat bran or sunflower meal. J Anim Physiol Anim Nutr (Berl) 2019; 103:1895-1907. [PMID: 31489728 DOI: 10.1111/jpn.13197] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2019] [Revised: 07/15/2019] [Accepted: 08/03/2019] [Indexed: 11/26/2022]
Abstract
The objectives of this study were (a) to investigate the effect of body weight (BW) on available energy in fibre-rich diets containing two NDF levels; and (b) to evaluate the effect of fibre type and NDF level on AA digestibility. In Exp. 1, barrows (24 at 33.4 ± 1.1 kg; 24 at 86.8 ± 3.3 kg) were randomly allotted to 4 diets containing a high protein basal (HPB), a low protein basal (LPB), 70% HPB + 30% wheat bran (WB) (HPB-WB) and 70% LPB + 30% sunflower meal (SFM) (LPB-SFM). In Exp. 2, barrows (24 at 33.5 ± 1.8 kg; 24 at 87.0 ± 3.8 kg) were randomly allotted to 4 diets containing no SFM with 12% NDF (SFM0LF), no SFM with 16% NDF (SFM0HF), 24% SFM with 12% NDF (SFM24LF) and 24% SFM with 16% NDF (SFM24HF). In Exp. 3, twelve barrows (35.5 ± 3.4 kg) fitted with T-cannulas were allotted to two 6 × 4 Youden square design with 6 diets (4 same diets as in Exp. 2 and 2 nitrogen-free diets). The concentration of DE, ME and ATTD of GE, CP, NDF and ADF in diets was greater (p < .01) when fed to 90 kg pigs compared with 30 kg pigs. The ME in ingredients was not affected by BW. The ATTD of NDF was negatively correlated with the CF (r = -.98; p < .01), ADF (r = -.99; p < .01) and ADL content (r = -.96; p < .01). The ME of diets was negatively correlated with the ATTD of CF (r = -.98; p < .01). The addition of SFM increased the standardized ileal digestibility (SID) of Met (p < .05). In conclusion, diets rich in fibre had different nutritional values at different pig weight stages. The AA digestibility depends mainly on chemical composition of diets.
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Affiliation(s)
- Zhiqian Lyu
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Jianjun Zang
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Changhua Lai
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Ping Li
- Institute of Animal Science, Guangdong Academy of Agricultural Sciences, Guangzhou, China
| | - Dongli Ma
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Jinbiao Zhao
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Shuai Zhang
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Chengfei Huang
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing, China
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Kim K, Choi Y, Hosseindoust A, Kim M, Hwang S, Bu M, Lee J, Kim Y, Chae BJ. Evaluation of high nutrient diets and additional dextrose on reproductive performance and litter performance of heat-stressed lactating sows. Anim Sci J 2019; 90:1212-1219. [PMID: 31282029 DOI: 10.1111/asj.13214] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2018] [Revised: 02/25/2019] [Accepted: 03/15/2019] [Indexed: 02/06/2023]
Abstract
This study investigated the litter performance of lactating sows fed nutrient-dense diets with or without dextrose at farrowing to weaning, during the summer with an average room temperature of 28.4°C. A total of 60 (13 first parity, 13 second parity, 19 third parity, and 15 forth parity) cross-bred sows were assigned to three treatments. The three treatments were: standard diet (ST), high nutrient diet (HN; ST + 3% higher energy and 18.0% protein), and high nutrient diet plus dextrose (HND; 3% higher energy, 18.0% protein, and 5% dextrose). BW loss was reduced in the HND sows compared with the ST sows during lactation. The HN and HND sows had a higher piglet and litter weight at weaning. Also, the HND sows had the highest post-prandial insulin levels at weaning and the shortest weaning-to-service interval (WSI). Serum LH was higher in the HND sows than the ST sows. The milk fat level was higher in the HND sows compared with the ST sows, but similar to the HN sows. In conclusion, these results suggest that it is possible to increase the blood insulin response by supplementing dextrose to a high nutrient diet, thus, improving WSI interval and litter growth during heat stress.
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Affiliation(s)
- KwangYeol Kim
- Department of Animal Resources Science, College of Animal Life Sciences, Kangwon National University 24341, Chuncheon, Republic of Korea
| | - YoHan Choi
- Department of Animal Resources Development Swine Science Division, 31000, RDA, Cheonan-si, Chungnam, Republic of Korea
| | - Abdolreza Hosseindoust
- Department of Animal Resources Science, College of Animal Life Sciences, Kangwon National University 24341, Chuncheon, Republic of Korea
| | - MinJu Kim
- Department of Animal Resources Science, College of Animal Life Sciences, Kangwon National University 24341, Chuncheon, Republic of Korea
| | - SungJun Hwang
- Department of Animal Resources Science, College of Animal Life Sciences, Kangwon National University 24341, Chuncheon, Republic of Korea
| | - MinSu Bu
- Department of Animal Resources Science, College of Animal Life Sciences, Kangwon National University 24341, Chuncheon, Republic of Korea
| | - JunHyung Lee
- Department of Animal Resources Science, College of Animal Life Sciences, Kangwon National University 24341, Chuncheon, Republic of Korea
| | - YoungHwa Kim
- Department of Animal Resources Development Swine Science Division, 31000, RDA, Cheonan-si, Chungnam, Republic of Korea
| | - Byung-Jo Chae
- Department of Animal Resources Science, College of Animal Life Sciences, Kangwon National University 24341, Chuncheon, Republic of Korea
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Lyu Z, Huang B, Li Z, Wang Z, Chen Y, Zhang S, Lai C. Net energy of oat bran, wheat bran, and palm kernel expellers fed to growing pigs using indirect calorimetry. Anim Sci J 2018; 90:98-107. [DOI: 10.1111/asj.13124] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2018] [Revised: 09/13/2018] [Accepted: 09/19/2018] [Indexed: 12/21/2022]
Affiliation(s)
- Zhiqian Lyu
- State Key Laboratory of Animal Nutrition; Ministry of Agriculture Feed Industry Centre; China Agricultural University; Beijing China
| | - Bingbing Huang
- State Key Laboratory of Animal Nutrition; Ministry of Agriculture Feed Industry Centre; China Agricultural University; Beijing China
| | - Zhongchao Li
- State Key Laboratory of Animal Nutrition; Ministry of Agriculture Feed Industry Centre; China Agricultural University; Beijing China
| | - Zhenyu Wang
- State Key Laboratory of Animal Nutrition; Ministry of Agriculture Feed Industry Centre; China Agricultural University; Beijing China
| | - Yifan Chen
- State Key Laboratory of Animal Nutrition; Ministry of Agriculture Feed Industry Centre; China Agricultural University; Beijing China
| | - Shuai Zhang
- State Key Laboratory of Animal Nutrition; Ministry of Agriculture Feed Industry Centre; China Agricultural University; Beijing China
| | - Changhua Lai
- State Key Laboratory of Animal Nutrition; Ministry of Agriculture Feed Industry Centre; China Agricultural University; Beijing China
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Li E, Liu H, Li Y, Liu L, Wang F, Li D, Zhang S. Determination of net energy content of dietary lipids fed to growing pigs using indirect calorimetry. J Anim Sci 2018; 96:2184-2194. [PMID: 29668940 PMCID: PMC6095357 DOI: 10.1093/jas/sky132] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
The objective of this experiment was to determine the NE content of different dietary lipids fed to growing pigs using indirect calorimetry. Thirty-six growing (initial BW: 41.1 ± 3.1 kg) barrows were allotted to 6 diets based on completely randomized design with 6 replicate pigs per diet. Diets included a corn-soybean meal basal diet and 5 test diets each containing 10% palm oil, poultry fat, fish oil, corn oil, or flaxseed oil at the expense of corn and soybean meal. During each period, pigs were individually housed in metabolism crates for 14 d, which included 7 d for adaptation to feed, metabolism crates, and environmental conditions. On day 8, pigs were transferred to the open-circuit respiration chambers and fed 1 of the 6 diets at 2.3 MJ ME/kg BW0.6/day. Total feces and urine were collected and daily heat production (HP) was also calculated from day 9 to day 13. On the last day of each period (day 14), pigs were fasted and the fasting heat production (FHP) was measured. The results show that the FHP of pigs averaged 809 kJ/kg BW0.6·day-1 and was not affected by diet characteristics. The DE values were 35.98, 36.84, 37.11, 38.95, and 38.38 MJ/kg DM, the ME values were 35.79, 36.56, 36.92, 37.73, and 38.11 MJ/kg DM, and the NE values were 32.42, 33.21, 33.77, 34.00, and 34.12 MJ/kg DM, for the palm oil, poultry fat, fish oil, corn oil, and flaxseed oil, respectively. Based on our result, we concluded that the DE content of dietary lipid varied from 91% to 98% of its GE content, the ME content of dietary lipid was approximately 99% of its DE content, and the NE content of dietary lipid was approximately 90% of its ME content in growing pigs.
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Affiliation(s)
- Enkai Li
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing, P.R. China
| | - Hu Liu
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing, P.R. China
| | - Yakui Li
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing, P.R. China
| | - Ling Liu
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing, P.R. China
| | - Fenglai Wang
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing, P.R. China
| | - Defa 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
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Lyu Z, Li Y, Liu H, Li E, Li P, Zhang S, Wang F, Lai C. Net energy content of rice bran, defatted rice bran, corn gluten feed, and corn germ meal fed to growing pigs using indirect calorimetry. J Anim Sci 2018; 96:1877-1888. [PMID: 29733419 PMCID: PMC6140965 DOI: 10.1093/jas/sky098] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2017] [Accepted: 04/18/2018] [Indexed: 12/29/2022] Open
Abstract
The objective of this experiment was to determine the effects of increased fiber content in diets on heat production (HP) and NE:ME ratio and to determine the NE content and NE:ME ratio of full-fat rice bran (FFRB), defatted rice bran (DFRB), corn gluten feed (CGF), and corn germ meal (CGM) fed to growing barrows using indirect calorimetry (IC). Thirty growing barrows (28.5 ± 2.4 kg BW) were allotted in a completely randomized design to 5 dietary treatments that included a corn-soybean meal basal diet and 4 experimental diets with a constant ratio of corn and soybean meal (difference method) containing 30% FFRB, DFRB, CGF, and CGF. Pigs were housed in individual metabolism crates for 20 d including 14-d adaptation to the diet and 6 d to determine the HP and total collection of feces and urine in respiration chambers. Pigs were fed their respective diets at 550 kcal ME·kg BW0.60-1·d-1 on the basis of BW measured on days 0, 7, and 14. The apparent total tract digestibility (ATTD) of DM, GE, and OM were greater (P < 0.01) in pigs fed the basal diet. The ATTD of DM, GE, and OM in pigs fed the DFRB diet were lesser (P < 0.01) when compared with those fed the basal and FFRB diets. The ATTD of ether extract (EE) in pigs fed the FFRB diet was greater (P < 0.01) compared with those fed basal, DFRB, CGF, and CGM diets. The HP adjusted for the same ME intake was greater (P < 0.01) in pigs fed the DFRB, CGF, and CGM diets compared with those fed basal and FFRB diets. The NE:ME ratio in pigs fed the FFRB diet was greater (P < 0.01) when compared with those fed the DFRB, CGF, and CGM diets. The NE content of FFRB, DFRB, CGF, and CGM determined using the IC method were 2,952, 1,100, 1,747, and 2,079 kcal/kg DM, respectively. The NE content of FFRB, CGF, and CGM determined using the IC method were 3.5%, 3.8%, and 1.8% greater, respectively, than the predicted values, whereas NE content of DFRB determined using the IC method was 2.1% lower than the predicted values. In conclusion, pigs fed the fiber-rich ingredients had greater HP and lower nutrient digestibility. However, pigs fed FFRB diets containing greater fat content had a lower heat increment and, therefore, higher utilization efficiency. The NE:ME ratio ranged from 71.6% to 82.4%. The NE of FFRB, DFRB, CGF, and CGM determined using the IC method were 2,952, 1,100, 1,747, and 2,079 kcal/kg DM, respectively.
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Affiliation(s)
- Zhiqian Lyu
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Yakui Li
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Hu Liu
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Enkai Li
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Peili Li
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Shuai Zhang
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Fenglai Wang
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Changhua Lai
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing, China
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