Evaluation of the equation for predicting dry matter intake of lactating dairy cows in the Korean feeding standards for dairy cattle
Objective This study aimed to validate and evaluate the dry matter (DM) intake prediction model of the Korean feeding standards for dairy cattle (KFSD). Methods The KFSD DM intake (DMI) model was developed using a database containing the data from the Journal of Dairy Science from 2006 to 2011 (1,06...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Asian-Australasian Association of Animal Production Societies
2021-10-01
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| Series: | Animal Bioscience |
| Subjects: | |
| Online Access: | http://www.animbiosci.org/upload/pdf/ajas-20-0684.pdf |
| _version_ | 1831775034796933120 |
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| author | Mingyung Lee Junsung Lee Seoyoung Jeon Seong-Min Park Kwang-Seok Ki Seongwon Seo |
| author_facet | Mingyung Lee Junsung Lee Seoyoung Jeon Seong-Min Park Kwang-Seok Ki Seongwon Seo |
| author_sort | Mingyung Lee |
| collection | DOAJ |
| description | Objective This study aimed to validate and evaluate the dry matter (DM) intake prediction model of the Korean feeding standards for dairy cattle (KFSD). Methods The KFSD DM intake (DMI) model was developed using a database containing the data from the Journal of Dairy Science from 2006 to 2011 (1,065 observations 287 studies). The development (458 observations from 103 studies) and evaluation databases (168 observations from 74 studies) were constructed from the database. The body weight (kg; BW), metabolic BW (BW0.75, MBW), 4% fat-corrected milk (FCM), forage as a percentage of dietary DM, and the dietary content of nutrients (% DM) were chosen as possible explanatory variables. A random coefficient model with the study as a random variable and a linear model without the random effect was used to select model variables and estimate parameters, respectively, during the model development. The best-fit equation was compared to published equations, and sensitivity analysis of the prediction equation was conducted. The KFSD model was also evaluated using in vivo feeding trial data. Results The KFSD DMI equation is 4.103 (±2.994)+0.112 (±0.022)×MBW+0.284 (±0.020) ×FCM−0.119 (±0.028)×neutral detergent fiber (NDF), explaining 47% of the variation in the evaluation dataset with no mean nor slope bias (p>0.05). The root mean square prediction error was 2.70 kg/d, best among the tested equations. The sensitivity analysis showed that the model is the most sensitive to FCM, followed by MBW and NDF. With the in vivo data, the KFSD equation showed slightly higher precision (R2 = 0.39) than the NRC equation (R2 = 0.37), with a mean bias of 1.19 kg and no slope bias (p>0.05). Conclusion The KFSD DMI model is suitable for predicting the DMI of lactating dairy cows in practical situations in Korea. |
| first_indexed | 2024-12-22T09:06:40Z |
| format | Article |
| id | doaj.art-a3b95662bb5644478620ecccac09d376 |
| institution | Directory Open Access Journal |
| issn | 2765-0189 2765-0235 |
| language | English |
| last_indexed | 2024-12-22T09:06:40Z |
| publishDate | 2021-10-01 |
| publisher | Asian-Australasian Association of Animal Production Societies |
| record_format | Article |
| series | Animal Bioscience |
| spelling | doaj.art-a3b95662bb5644478620ecccac09d3762022-12-21T18:31:35ZengAsian-Australasian Association of Animal Production SocietiesAnimal Bioscience2765-01892765-02352021-10-0134101623163110.5713/ajas.20.068424631Evaluation of the equation for predicting dry matter intake of lactating dairy cows in the Korean feeding standards for dairy cattleMingyung Lee0Junsung Lee1Seoyoung Jeon2Seong-Min Park3Kwang-Seok Ki4Seongwon Seo5 Division of Animal and Dairy Sciences, Chungnam National University, Daejeon 34134, Korea Division of Animal and Dairy Sciences, Chungnam National University, Daejeon 34134, Korea Division of Animal and Dairy Sciences, Chungnam National University, Daejeon 34134, Korea National Institute of Animal Science, Rural Development Administration, Cheonan 31000, Korea National Institute of Animal Science, Rural Development Administration, Cheonan 31000, Korea Division of Animal and Dairy Sciences, Chungnam National University, Daejeon 34134, KoreaObjective This study aimed to validate and evaluate the dry matter (DM) intake prediction model of the Korean feeding standards for dairy cattle (KFSD). Methods The KFSD DM intake (DMI) model was developed using a database containing the data from the Journal of Dairy Science from 2006 to 2011 (1,065 observations 287 studies). The development (458 observations from 103 studies) and evaluation databases (168 observations from 74 studies) were constructed from the database. The body weight (kg; BW), metabolic BW (BW0.75, MBW), 4% fat-corrected milk (FCM), forage as a percentage of dietary DM, and the dietary content of nutrients (% DM) were chosen as possible explanatory variables. A random coefficient model with the study as a random variable and a linear model without the random effect was used to select model variables and estimate parameters, respectively, during the model development. The best-fit equation was compared to published equations, and sensitivity analysis of the prediction equation was conducted. The KFSD model was also evaluated using in vivo feeding trial data. Results The KFSD DMI equation is 4.103 (±2.994)+0.112 (±0.022)×MBW+0.284 (±0.020) ×FCM−0.119 (±0.028)×neutral detergent fiber (NDF), explaining 47% of the variation in the evaluation dataset with no mean nor slope bias (p>0.05). The root mean square prediction error was 2.70 kg/d, best among the tested equations. The sensitivity analysis showed that the model is the most sensitive to FCM, followed by MBW and NDF. With the in vivo data, the KFSD equation showed slightly higher precision (R2 = 0.39) than the NRC equation (R2 = 0.37), with a mean bias of 1.19 kg and no slope bias (p>0.05). Conclusion The KFSD DMI model is suitable for predicting the DMI of lactating dairy cows in practical situations in Korea.http://www.animbiosci.org/upload/pdf/ajas-20-0684.pdfdry matter intakelactating dairy cowmeta-analysismodeling |
| spellingShingle | Mingyung Lee Junsung Lee Seoyoung Jeon Seong-Min Park Kwang-Seok Ki Seongwon Seo Evaluation of the equation for predicting dry matter intake of lactating dairy cows in the Korean feeding standards for dairy cattle Animal Bioscience dry matter intake lactating dairy cow meta-analysis modeling |
| title | Evaluation of the equation for predicting dry matter intake of lactating dairy cows in the Korean feeding standards for dairy cattle |
| title_full | Evaluation of the equation for predicting dry matter intake of lactating dairy cows in the Korean feeding standards for dairy cattle |
| title_fullStr | Evaluation of the equation for predicting dry matter intake of lactating dairy cows in the Korean feeding standards for dairy cattle |
| title_full_unstemmed | Evaluation of the equation for predicting dry matter intake of lactating dairy cows in the Korean feeding standards for dairy cattle |
| title_short | Evaluation of the equation for predicting dry matter intake of lactating dairy cows in the Korean feeding standards for dairy cattle |
| title_sort | evaluation of the equation for predicting dry matter intake of lactating dairy cows in the korean feeding standards for dairy cattle |
| topic | dry matter intake lactating dairy cow meta-analysis modeling |
| url | http://www.animbiosci.org/upload/pdf/ajas-20-0684.pdf |
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