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Prediction equations of the metabolizable energy in corn developed by chemical composition and enzymatic hydrolysate gross energy for roosters
Two experiments were conducted to establish the prediction equations for AME and TME of corn based on chemical composition and enzymatic hydrolysate gross energy (EHGE) in roosters. In experiment 1, eighty 32-wk-old Hy-line Brown roosters with an average body weight of 2.55 ± 0.21 kg were randomly a...
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Published in: | Poultry science 2024-02, Vol.103 (2), p.103249-103249, Article 103249 |
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description | Two experiments were conducted to establish the prediction equations for AME and TME of corn based on chemical composition and enzymatic hydrolysate gross energy (EHGE) in roosters. In experiment 1, eighty 32-wk-old Hy-line Brown roosters with an average body weight of 2.55 ± 0.21 kg were randomly assigned to 10 diet treatments in a completely randomized design to determine AME and TME by the force-feeding method. Each treatment had 8 replicates with 1 bird per replicate. The 10 test diets used in the experiment were formulated with corn (including 96.10%) as the sole source of energy. In experiment 2, the EHGE of 14 corn samples was measured by the computer-controlled simulated digestion system (CCSDS) with 5 replicates of each sample. The average AME and TME values of corn were 14.58 and 16.46 MJ/kg DM, respectively. The EHGE of 14 corn samples ranged from 14.66 to 15.89 (the mean was 15.24) MJ/kg DM. The best-fit equations for corn based on chemical composition were AME (MJ/kg DM) = 14.5504 + 0.1166 × ether extract (EE) + 0.5058 × Ash − 0.0957 × neutral detergent fiber (NDF) (R2 = 0.8194, residual standard deviation (RSD) = 0.0860, P < 0.01) and TME (MJ/kg DM) = 16.0625 + 0.1314 × EE + 0.4725 × Ash − 0.0872 × NDF (R2 = 0.7867, RSD = 0.0860, P < 0.01). The best-fit equations for corn based on EHGE were AME (MJ/kg DM) = 7.8883 + 0.4568 × EHGE (R2 = 0.8587, RSD = 0.0693, P < 0.01) and TME (MJ/kg DM) = 10.0099 + 0.4228 × EHGE (R2 = 0.8720, RSD = 0.0608, P < 0.01). The differences between determined and predicted values from equations established based on EHGE were lower than those observed from chemical composition equations. These results indicated that EHGE measured with CCSDS could predict the AME and TME of corn for roosters with high accuracy. |
doi_str_mv | 10.1016/j.psj.2023.103249 |
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In experiment 1, eighty 32-wk-old Hy-line Brown roosters with an average body weight of 2.55 ± 0.21 kg were randomly assigned to 10 diet treatments in a completely randomized design to determine AME and TME by the force-feeding method. Each treatment had 8 replicates with 1 bird per replicate. The 10 test diets used in the experiment were formulated with corn (including 96.10%) as the sole source of energy. In experiment 2, the EHGE of 14 corn samples was measured by the computer-controlled simulated digestion system (CCSDS) with 5 replicates of each sample. The average AME and TME values of corn were 14.58 and 16.46 MJ/kg DM, respectively. The EHGE of 14 corn samples ranged from 14.66 to 15.89 (the mean was 15.24) MJ/kg DM. The best-fit equations for corn based on chemical composition were AME (MJ/kg DM) = 14.5504 + 0.1166 × ether extract (EE) + 0.5058 × Ash − 0.0957 × neutral detergent fiber (NDF) (R2 = 0.8194, residual standard deviation (RSD) = 0.0860, P < 0.01) and TME (MJ/kg DM) = 16.0625 + 0.1314 × EE + 0.4725 × Ash − 0.0872 × NDF (R2 = 0.7867, RSD = 0.0860, P < 0.01). The best-fit equations for corn based on EHGE were AME (MJ/kg DM) = 7.8883 + 0.4568 × EHGE (R2 = 0.8587, RSD = 0.0693, P < 0.01) and TME (MJ/kg DM) = 10.0099 + 0.4228 × EHGE (R2 = 0.8720, RSD = 0.0608, P < 0.01). The differences between determined and predicted values from equations established based on EHGE were lower than those observed from chemical composition equations. These results indicated that EHGE measured with CCSDS could predict the AME and TME of corn for roosters with high accuracy.</description><identifier>ISSN: 0032-5791</identifier><identifier>EISSN: 1525-3171</identifier><identifier>DOI: 10.1016/j.psj.2023.103249</identifier><identifier>PMID: 38035475</identifier><language>eng</language><publisher>England: Elsevier Inc</publisher><subject>Animal Feed - analysis ; Animal Nutritional Physiological Phenomena ; Animals ; Chickens ; corn ; Diet - veterinary ; Digestion ; Energy Metabolism ; enzymatic hydrolysate gross energy ; Male ; metabolizable energy ; prediction equation ; rooster ; Zea mays - chemistry</subject><ispartof>Poultry science, 2024-02, Vol.103 (2), p.103249-103249, Article 103249</ispartof><rights>2023 The Authors</rights><rights>Copyright © 2023 The Authors. Published by Elsevier Inc. All rights reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c414t-de0a4624e5a4299c51e5006f3d64f39c00c685a90dcbfb84cea9a15ef47d9c813</cites><orcidid>0000-0001-8601-9180 ; 0000-0003-0494-6699</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S003257912300768X$$EHTML$$P50$$Gelsevier$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,3548,27923,27924,45779</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38035475$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Li, Kai</creatorcontrib><creatorcontrib>Bai, Guosong</creatorcontrib><creatorcontrib>Teng, Chunran</creatorcontrib><creatorcontrib>Liu, Zhengqun</creatorcontrib><creatorcontrib>Liu, Lei</creatorcontrib><creatorcontrib>Yan, Honglin</creatorcontrib><creatorcontrib>Zhou, Jianchuan</creatorcontrib><creatorcontrib>Zhong, Ruqing</creatorcontrib><creatorcontrib>Chen, Liang</creatorcontrib><creatorcontrib>Zhang, Hongfu</creatorcontrib><title>Prediction equations of the metabolizable energy in corn developed by chemical composition and enzymatic hydrolysate gross energy for roosters</title><title>Poultry science</title><addtitle>Poult Sci</addtitle><description>Two experiments were conducted to establish the prediction equations for AME and TME of corn based on chemical composition and enzymatic hydrolysate gross energy (EHGE) in roosters. In experiment 1, eighty 32-wk-old Hy-line Brown roosters with an average body weight of 2.55 ± 0.21 kg were randomly assigned to 10 diet treatments in a completely randomized design to determine AME and TME by the force-feeding method. Each treatment had 8 replicates with 1 bird per replicate. The 10 test diets used in the experiment were formulated with corn (including 96.10%) as the sole source of energy. In experiment 2, the EHGE of 14 corn samples was measured by the computer-controlled simulated digestion system (CCSDS) with 5 replicates of each sample. The average AME and TME values of corn were 14.58 and 16.46 MJ/kg DM, respectively. The EHGE of 14 corn samples ranged from 14.66 to 15.89 (the mean was 15.24) MJ/kg DM. The best-fit equations for corn based on chemical composition were AME (MJ/kg DM) = 14.5504 + 0.1166 × ether extract (EE) + 0.5058 × Ash − 0.0957 × neutral detergent fiber (NDF) (R2 = 0.8194, residual standard deviation (RSD) = 0.0860, P < 0.01) and TME (MJ/kg DM) = 16.0625 + 0.1314 × EE + 0.4725 × Ash − 0.0872 × NDF (R2 = 0.7867, RSD = 0.0860, P < 0.01). The best-fit equations for corn based on EHGE were AME (MJ/kg DM) = 7.8883 + 0.4568 × EHGE (R2 = 0.8587, RSD = 0.0693, P < 0.01) and TME (MJ/kg DM) = 10.0099 + 0.4228 × EHGE (R2 = 0.8720, RSD = 0.0608, P < 0.01). The differences between determined and predicted values from equations established based on EHGE were lower than those observed from chemical composition equations. These results indicated that EHGE measured with CCSDS could predict the AME and TME of corn for roosters with high accuracy.</description><subject>Animal Feed - analysis</subject><subject>Animal Nutritional Physiological Phenomena</subject><subject>Animals</subject><subject>Chickens</subject><subject>corn</subject><subject>Diet - veterinary</subject><subject>Digestion</subject><subject>Energy Metabolism</subject><subject>enzymatic hydrolysate gross energy</subject><subject>Male</subject><subject>metabolizable energy</subject><subject>prediction equation</subject><subject>rooster</subject><subject>Zea mays - chemistry</subject><issn>0032-5791</issn><issn>1525-3171</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>DOA</sourceid><recordid>eNp9kc9u1DAQxiMEokvhAbggH7lksRPbicUJVfypVAkOcLYm9njXURKndrZS-hA8M96m7ZGTx-NvfjOeryjeM7pnlMlP_X5O_b6iVZ3vdcXVi2LHRCXKmjXsZbGjOVmKRrGL4k1KPaUVk7J5XVzULa0Fb8Su-PsrovVm8WEieHuCc5BIcGQ5IhlxgS4M_h66AQlOGA8r8RMxIU7E4h0OYUZLupWYI47ewJCfxjkk_8CDyeai-3XMVEOOq41hWBMsSA4xpPQEdCGSGEJaMKa3xSsHQ8J3j-dl8efb199XP8qbn9-vr77clIYzvpQWKXBZcRTAK6WMYCgola62krtaGUqNbAUoak3nupYbBAVMoOONVaZl9WVxvXFtgF7P0Y8QVx3A64dEiAcNMU89oHZKGtaCsKrpeMMBjMwByEZatMZ1mfVxY80x3J4wLXr0yeAwwIThlHTVKtlmvyqapWyTmvMCIrrn1ozqs6U6D5N6fbZUb5bmmg-P-FM3on2uePIwCz5vAswLu_MYdTIeJ5N9jWiW_CP_H_w_BDy12g</recordid><startdate>202402</startdate><enddate>202402</enddate><creator>Li, Kai</creator><creator>Bai, Guosong</creator><creator>Teng, Chunran</creator><creator>Liu, Zhengqun</creator><creator>Liu, Lei</creator><creator>Yan, Honglin</creator><creator>Zhou, Jianchuan</creator><creator>Zhong, Ruqing</creator><creator>Chen, Liang</creator><creator>Zhang, Hongfu</creator><general>Elsevier Inc</general><general>Elsevier</general><scope>6I.</scope><scope>AAFTH</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0001-8601-9180</orcidid><orcidid>https://orcid.org/0000-0003-0494-6699</orcidid></search><sort><creationdate>202402</creationdate><title>Prediction equations of the metabolizable energy in corn developed by chemical composition and enzymatic hydrolysate gross energy for roosters</title><author>Li, Kai ; Bai, Guosong ; Teng, Chunran ; Liu, Zhengqun ; Liu, Lei ; Yan, Honglin ; Zhou, Jianchuan ; Zhong, Ruqing ; Chen, Liang ; Zhang, Hongfu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c414t-de0a4624e5a4299c51e5006f3d64f39c00c685a90dcbfb84cea9a15ef47d9c813</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Animal Feed - analysis</topic><topic>Animal Nutritional Physiological Phenomena</topic><topic>Animals</topic><topic>Chickens</topic><topic>corn</topic><topic>Diet - veterinary</topic><topic>Digestion</topic><topic>Energy Metabolism</topic><topic>enzymatic hydrolysate gross energy</topic><topic>Male</topic><topic>metabolizable energy</topic><topic>prediction equation</topic><topic>rooster</topic><topic>Zea mays - chemistry</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Li, Kai</creatorcontrib><creatorcontrib>Bai, Guosong</creatorcontrib><creatorcontrib>Teng, Chunran</creatorcontrib><creatorcontrib>Liu, Zhengqun</creatorcontrib><creatorcontrib>Liu, Lei</creatorcontrib><creatorcontrib>Yan, Honglin</creatorcontrib><creatorcontrib>Zhou, Jianchuan</creatorcontrib><creatorcontrib>Zhong, Ruqing</creatorcontrib><creatorcontrib>Chen, Liang</creatorcontrib><creatorcontrib>Zhang, Hongfu</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Poultry science</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Li, Kai</au><au>Bai, Guosong</au><au>Teng, Chunran</au><au>Liu, Zhengqun</au><au>Liu, Lei</au><au>Yan, Honglin</au><au>Zhou, Jianchuan</au><au>Zhong, Ruqing</au><au>Chen, Liang</au><au>Zhang, Hongfu</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Prediction equations of the metabolizable energy in corn developed by chemical composition and enzymatic hydrolysate gross energy for roosters</atitle><jtitle>Poultry science</jtitle><addtitle>Poult Sci</addtitle><date>2024-02</date><risdate>2024</risdate><volume>103</volume><issue>2</issue><spage>103249</spage><epage>103249</epage><pages>103249-103249</pages><artnum>103249</artnum><issn>0032-5791</issn><eissn>1525-3171</eissn><abstract>Two experiments were conducted to establish the prediction equations for AME and TME of corn based on chemical composition and enzymatic hydrolysate gross energy (EHGE) in roosters. In experiment 1, eighty 32-wk-old Hy-line Brown roosters with an average body weight of 2.55 ± 0.21 kg were randomly assigned to 10 diet treatments in a completely randomized design to determine AME and TME by the force-feeding method. Each treatment had 8 replicates with 1 bird per replicate. The 10 test diets used in the experiment were formulated with corn (including 96.10%) as the sole source of energy. In experiment 2, the EHGE of 14 corn samples was measured by the computer-controlled simulated digestion system (CCSDS) with 5 replicates of each sample. The average AME and TME values of corn were 14.58 and 16.46 MJ/kg DM, respectively. The EHGE of 14 corn samples ranged from 14.66 to 15.89 (the mean was 15.24) MJ/kg DM. The best-fit equations for corn based on chemical composition were AME (MJ/kg DM) = 14.5504 + 0.1166 × ether extract (EE) + 0.5058 × Ash − 0.0957 × neutral detergent fiber (NDF) (R2 = 0.8194, residual standard deviation (RSD) = 0.0860, P < 0.01) and TME (MJ/kg DM) = 16.0625 + 0.1314 × EE + 0.4725 × Ash − 0.0872 × NDF (R2 = 0.7867, RSD = 0.0860, P < 0.01). The best-fit equations for corn based on EHGE were AME (MJ/kg DM) = 7.8883 + 0.4568 × EHGE (R2 = 0.8587, RSD = 0.0693, P < 0.01) and TME (MJ/kg DM) = 10.0099 + 0.4228 × EHGE (R2 = 0.8720, RSD = 0.0608, P < 0.01). The differences between determined and predicted values from equations established based on EHGE were lower than those observed from chemical composition equations. These results indicated that EHGE measured with CCSDS could predict the AME and TME of corn for roosters with high accuracy.</abstract><cop>England</cop><pub>Elsevier Inc</pub><pmid>38035475</pmid><doi>10.1016/j.psj.2023.103249</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0001-8601-9180</orcidid><orcidid>https://orcid.org/0000-0003-0494-6699</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Animal Feed - analysis Animal Nutritional Physiological Phenomena Animals Chickens corn Diet - veterinary Digestion Energy Metabolism enzymatic hydrolysate gross energy Male metabolizable energy prediction equation rooster Zea mays - chemistry |
title | Prediction equations of the metabolizable energy in corn developed by chemical composition and enzymatic hydrolysate gross energy for roosters |
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