Juan de J Vargas, Maya Swenson, Macarena Gomez-Salmoral, Liza Garcia, Eduardo M Paula, Leo G Sitorski, Leticia M Campos, Pedro H V Carvalho, K R Stackhouse-Lawson, Nicolas DiLorenzo, Sara E Place
{"title":"用动物生产性能和气体通量估算生长阉牛干物质采食量。","authors":"Juan de J Vargas, Maya Swenson, Macarena Gomez-Salmoral, Liza Garcia, Eduardo M Paula, Leo G Sitorski, Leticia M Campos, Pedro H V Carvalho, K R Stackhouse-Lawson, Nicolas DiLorenzo, Sara E Place","doi":"10.1093/tas/txaf111","DOIUrl":null,"url":null,"abstract":"<p><p>Dry matter intake (<b>DMI</b>) estimation in ruminants is important for providing a balanced diet, increasing animal performance, and reducing nutrient excretion. Gas flux (<b>CO</b> <sub><b>2</b></sub> and <b>CH</b> <sub><b>4</b></sub> production) is related to DMI; however, there is limited information regarding the use of gas flux production when estimating DMI in growing steers. This study aimed to 1) determine the relationship of animal growth performance and gas flux variables with DMI of growing steers fed a backgrounding diet, and 2) evaluate the DMI accuracy of eight equations to predict DMI from growing steers fed a forage-based diet. The relationship between DMI, animal growth performance, and gas flux variables was evaluated in 130 backgrounding steers, and two equations were generated to predict DMI. Then, six retrieved equations from the literature and the two new equations were used to determine the prediction accuracy using an independent dataset. Models were compared based on the mean square prediction error (<b>MSPE</b>), the decomposition of the root MSPE (<b>RMSPE</b>), and the concordance correlation coefficient (<b>CCC</b>). In backgrounding steers, DMI had a positive and significant relationship (<i>P < </i>0.01) with shrunk body weight (<b>SBW</b>), average daily gain, and CO<sub>2</sub> and CH<sub>4</sub> production. The production of CO<sub>2</sub> and CH<sub>4</sub> independently explained 48.1% and 40.9% of the observed DMI in growing steers, respectively. One equation retrieved from the literature had an excellent agreement with the observed DMI, with a CCC value of 0.93 and an RMSPE of 0.19 kg/d, representing 2.5% of the average DMI. That equation used SBW and dietary energy concentration. The use of CO<sub>2</sub> production had adequate agreement with the observed DMI, with a CCC value of 0.73 and an RMSPE of 0.45 kg/d, representing 6% of the average DMI. Other equations had null to moderate agreement with the observed DMI, with CCC values ranging from 0.00 to 0.47 and an RMSPE from 0.51 to 4.40 kg/d. In conclusion, there is a positive relationship between DMI, animal growth performance, and gas flux in growing steers fed a backgrounding diet. In addition, CO<sub>2</sub> production has the potential to be used to predict DMI in growing steers fed a forage-based diet. Future research is required to evaluate the relationship between CO<sub>2</sub> production and DMI, especially under grazing conditions.</p>","PeriodicalId":23272,"journal":{"name":"Translational Animal Science","volume":"9 ","pages":"txaf111"},"PeriodicalIF":1.8000,"publicationDate":"2025-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12405688/pdf/","citationCount":"0","resultStr":"{\"title\":\"Use of animal performance and gas flux for estimating dry matter intake in growing steers.\",\"authors\":\"Juan de J Vargas, Maya Swenson, Macarena Gomez-Salmoral, Liza Garcia, Eduardo M Paula, Leo G Sitorski, Leticia M Campos, Pedro H V Carvalho, K R Stackhouse-Lawson, Nicolas DiLorenzo, Sara E Place\",\"doi\":\"10.1093/tas/txaf111\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Dry matter intake (<b>DMI</b>) estimation in ruminants is important for providing a balanced diet, increasing animal performance, and reducing nutrient excretion. Gas flux (<b>CO</b> <sub><b>2</b></sub> and <b>CH</b> <sub><b>4</b></sub> production) is related to DMI; however, there is limited information regarding the use of gas flux production when estimating DMI in growing steers. This study aimed to 1) determine the relationship of animal growth performance and gas flux variables with DMI of growing steers fed a backgrounding diet, and 2) evaluate the DMI accuracy of eight equations to predict DMI from growing steers fed a forage-based diet. The relationship between DMI, animal growth performance, and gas flux variables was evaluated in 130 backgrounding steers, and two equations were generated to predict DMI. Then, six retrieved equations from the literature and the two new equations were used to determine the prediction accuracy using an independent dataset. Models were compared based on the mean square prediction error (<b>MSPE</b>), the decomposition of the root MSPE (<b>RMSPE</b>), and the concordance correlation coefficient (<b>CCC</b>). In backgrounding steers, DMI had a positive and significant relationship (<i>P < </i>0.01) with shrunk body weight (<b>SBW</b>), average daily gain, and CO<sub>2</sub> and CH<sub>4</sub> production. The production of CO<sub>2</sub> and CH<sub>4</sub> independently explained 48.1% and 40.9% of the observed DMI in growing steers, respectively. One equation retrieved from the literature had an excellent agreement with the observed DMI, with a CCC value of 0.93 and an RMSPE of 0.19 kg/d, representing 2.5% of the average DMI. That equation used SBW and dietary energy concentration. The use of CO<sub>2</sub> production had adequate agreement with the observed DMI, with a CCC value of 0.73 and an RMSPE of 0.45 kg/d, representing 6% of the average DMI. Other equations had null to moderate agreement with the observed DMI, with CCC values ranging from 0.00 to 0.47 and an RMSPE from 0.51 to 4.40 kg/d. In conclusion, there is a positive relationship between DMI, animal growth performance, and gas flux in growing steers fed a backgrounding diet. In addition, CO<sub>2</sub> production has the potential to be used to predict DMI in growing steers fed a forage-based diet. Future research is required to evaluate the relationship between CO<sub>2</sub> production and DMI, especially under grazing conditions.</p>\",\"PeriodicalId\":23272,\"journal\":{\"name\":\"Translational Animal Science\",\"volume\":\"9 \",\"pages\":\"txaf111\"},\"PeriodicalIF\":1.8000,\"publicationDate\":\"2025-08-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12405688/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Translational Animal Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1093/tas/txaf111\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q3\",\"JCRName\":\"AGRICULTURE, DAIRY & ANIMAL SCIENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Translational Animal Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/tas/txaf111","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q3","JCRName":"AGRICULTURE, DAIRY & ANIMAL SCIENCE","Score":null,"Total":0}
Use of animal performance and gas flux for estimating dry matter intake in growing steers.
Dry matter intake (DMI) estimation in ruminants is important for providing a balanced diet, increasing animal performance, and reducing nutrient excretion. Gas flux (CO2 and CH4 production) is related to DMI; however, there is limited information regarding the use of gas flux production when estimating DMI in growing steers. This study aimed to 1) determine the relationship of animal growth performance and gas flux variables with DMI of growing steers fed a backgrounding diet, and 2) evaluate the DMI accuracy of eight equations to predict DMI from growing steers fed a forage-based diet. The relationship between DMI, animal growth performance, and gas flux variables was evaluated in 130 backgrounding steers, and two equations were generated to predict DMI. Then, six retrieved equations from the literature and the two new equations were used to determine the prediction accuracy using an independent dataset. Models were compared based on the mean square prediction error (MSPE), the decomposition of the root MSPE (RMSPE), and the concordance correlation coefficient (CCC). In backgrounding steers, DMI had a positive and significant relationship (P < 0.01) with shrunk body weight (SBW), average daily gain, and CO2 and CH4 production. The production of CO2 and CH4 independently explained 48.1% and 40.9% of the observed DMI in growing steers, respectively. One equation retrieved from the literature had an excellent agreement with the observed DMI, with a CCC value of 0.93 and an RMSPE of 0.19 kg/d, representing 2.5% of the average DMI. That equation used SBW and dietary energy concentration. The use of CO2 production had adequate agreement with the observed DMI, with a CCC value of 0.73 and an RMSPE of 0.45 kg/d, representing 6% of the average DMI. Other equations had null to moderate agreement with the observed DMI, with CCC values ranging from 0.00 to 0.47 and an RMSPE from 0.51 to 4.40 kg/d. In conclusion, there is a positive relationship between DMI, animal growth performance, and gas flux in growing steers fed a backgrounding diet. In addition, CO2 production has the potential to be used to predict DMI in growing steers fed a forage-based diet. Future research is required to evaluate the relationship between CO2 production and DMI, especially under grazing conditions.
期刊介绍:
Translational Animal Science (TAS) is the first open access-open review animal science journal, encompassing a broad scope of research topics in animal science. TAS focuses on translating basic science to innovation, and validation of these innovations by various segments of the allied animal industry. Readers of TAS will typically represent education, industry, and government, including research, teaching, administration, extension, management, quality assurance, product development, and technical services. Those interested in TAS typically include animal breeders, economists, embryologists, engineers, food scientists, geneticists, microbiologists, nutritionists, veterinarians, physiologists, processors, public health professionals, and others with an interest in animal production and applied aspects of animal sciences.