Predicting Daily Dry Matter Intake Using Feed Intake of First Two Hours after Feeding in Mid and Late Lactation Dairy Cows with Fed Ration Three Times per Day

The objective of this study was to evaluate the feasibility of using the dry matter intake of first 2 h after feeding (DMI-2h), body weight (BW), and milk yield to estimate daily DMI in mid and late lactating dairy cows with fed ration three times per day. Our dataset included 2840 individual observ...

Full description

Bibliographic Details
Main Authors: Shulin Liang, Chaoqun Wu, Wenchao Peng, Jian-Xin Liu, Hui-Zeng Sun
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Animals
Subjects:
Online Access:https://www.mdpi.com/2076-2615/11/1/104
id doaj-968a4f26b6cd4194a485dcff6cb198a2
record_format Article
spelling doaj-968a4f26b6cd4194a485dcff6cb198a22021-01-07T00:06:06ZengMDPI AGAnimals2076-26152021-01-011110410410.3390/ani11010104Predicting Daily Dry Matter Intake Using Feed Intake of First Two Hours after Feeding in Mid and Late Lactation Dairy Cows with Fed Ration Three Times per DayShulin Liang0Chaoqun Wu1Wenchao Peng2Jian-Xin Liu3Hui-Zeng Sun4Institute of Dairy Science, MoE Key Laboratory of Molecular Animal Nutrition, College of Animal Sciences, Zhejiang University, Hangzhou 310058, ChinaInstitute of Dairy Science, MoE Key Laboratory of Molecular Animal Nutrition, College of Animal Sciences, Zhejiang University, Hangzhou 310058, ChinaInstitute of Dairy Science, MoE Key Laboratory of Molecular Animal Nutrition, College of Animal Sciences, Zhejiang University, Hangzhou 310058, ChinaInstitute of Dairy Science, MoE Key Laboratory of Molecular Animal Nutrition, College of Animal Sciences, Zhejiang University, Hangzhou 310058, ChinaInstitute of Dairy Science, MoE Key Laboratory of Molecular Animal Nutrition, College of Animal Sciences, Zhejiang University, Hangzhou 310058, ChinaThe objective of this study was to evaluate the feasibility of using the dry matter intake of first 2 h after feeding (DMI-2h), body weight (BW), and milk yield to estimate daily DMI in mid and late lactating dairy cows with fed ration three times per day. Our dataset included 2840 individual observations from 76 cows enrolled in two studies, of which 2259 observations served as development dataset (DDS) from 54 cows and 581 observations acted as the validation dataset (VDS) from 22 cows. The descriptive statistics of these variables were 26.0 ± 2.77 kg/day (mean ± standard deviation) of DMI, 14.9 ± 3.68 kg/day of DMI-2h, 35.0 ± 5.48 kg/day of milk yield, and 636 ± 82.6 kg/day of BW in DDS and 23.2 ± 4.72 kg/day of DMI, 12.6 ± 4.08 kg/day of DMI-2h, 30.4 ± 5.85 kg/day of milk yield, and 597 ± 63.7 kg/day of BW in VDS, respectively. A multiple regression analysis was conducted using the REG procedure of SAS to develop the forecasting models for DMI. The proposed prediction equation was: DMI (kg/day) = 8.499 + 0.2725 × DMI-2h (kg/day) + 0.2132 × Milk yield (kg/day) + 0.0095 × BW (kg/day) (R<sup>2</sup> = 0.46, mean bias = 0 kg/day, RMSPE = 1.26 kg/day). Moreover, when compared with the prediction equation for DMI in Nutrient Requirements of Dairy Cattle (2001) using the independent dataset (VDS), our proposed model shows higher R<sup>2</sup> (0.22 vs. 0.07) and smaller mean bias (−0.10 vs. 1.52 kg/day) and RMSPE (1.77 vs. 2.34 kg/day). Overall, we constructed a feasible forecasting model with better precision and accuracy in predicting daily DMI of dairy cows in mid and late lactation when fed ration three times per day.https://www.mdpi.com/2076-2615/11/1/104dry matter intakepredicted modeldairy cow
collection DOAJ
language English
format Article
sources DOAJ
author Shulin Liang
Chaoqun Wu
Wenchao Peng
Jian-Xin Liu
Hui-Zeng Sun
spellingShingle Shulin Liang
Chaoqun Wu
Wenchao Peng
Jian-Xin Liu
Hui-Zeng Sun
Predicting Daily Dry Matter Intake Using Feed Intake of First Two Hours after Feeding in Mid and Late Lactation Dairy Cows with Fed Ration Three Times per Day
Animals
dry matter intake
predicted model
dairy cow
author_facet Shulin Liang
Chaoqun Wu
Wenchao Peng
Jian-Xin Liu
Hui-Zeng Sun
author_sort Shulin Liang
title Predicting Daily Dry Matter Intake Using Feed Intake of First Two Hours after Feeding in Mid and Late Lactation Dairy Cows with Fed Ration Three Times per Day
title_short Predicting Daily Dry Matter Intake Using Feed Intake of First Two Hours after Feeding in Mid and Late Lactation Dairy Cows with Fed Ration Three Times per Day
title_full Predicting Daily Dry Matter Intake Using Feed Intake of First Two Hours after Feeding in Mid and Late Lactation Dairy Cows with Fed Ration Three Times per Day
title_fullStr Predicting Daily Dry Matter Intake Using Feed Intake of First Two Hours after Feeding in Mid and Late Lactation Dairy Cows with Fed Ration Three Times per Day
title_full_unstemmed Predicting Daily Dry Matter Intake Using Feed Intake of First Two Hours after Feeding in Mid and Late Lactation Dairy Cows with Fed Ration Three Times per Day
title_sort predicting daily dry matter intake using feed intake of first two hours after feeding in mid and late lactation dairy cows with fed ration three times per day
publisher MDPI AG
series Animals
issn 2076-2615
publishDate 2021-01-01
description The objective of this study was to evaluate the feasibility of using the dry matter intake of first 2 h after feeding (DMI-2h), body weight (BW), and milk yield to estimate daily DMI in mid and late lactating dairy cows with fed ration three times per day. Our dataset included 2840 individual observations from 76 cows enrolled in two studies, of which 2259 observations served as development dataset (DDS) from 54 cows and 581 observations acted as the validation dataset (VDS) from 22 cows. The descriptive statistics of these variables were 26.0 ± 2.77 kg/day (mean ± standard deviation) of DMI, 14.9 ± 3.68 kg/day of DMI-2h, 35.0 ± 5.48 kg/day of milk yield, and 636 ± 82.6 kg/day of BW in DDS and 23.2 ± 4.72 kg/day of DMI, 12.6 ± 4.08 kg/day of DMI-2h, 30.4 ± 5.85 kg/day of milk yield, and 597 ± 63.7 kg/day of BW in VDS, respectively. A multiple regression analysis was conducted using the REG procedure of SAS to develop the forecasting models for DMI. The proposed prediction equation was: DMI (kg/day) = 8.499 + 0.2725 × DMI-2h (kg/day) + 0.2132 × Milk yield (kg/day) + 0.0095 × BW (kg/day) (R<sup>2</sup> = 0.46, mean bias = 0 kg/day, RMSPE = 1.26 kg/day). Moreover, when compared with the prediction equation for DMI in Nutrient Requirements of Dairy Cattle (2001) using the independent dataset (VDS), our proposed model shows higher R<sup>2</sup> (0.22 vs. 0.07) and smaller mean bias (−0.10 vs. 1.52 kg/day) and RMSPE (1.77 vs. 2.34 kg/day). Overall, we constructed a feasible forecasting model with better precision and accuracy in predicting daily DMI of dairy cows in mid and late lactation when fed ration three times per day.
topic dry matter intake
predicted model
dairy cow
url https://www.mdpi.com/2076-2615/11/1/104
work_keys_str_mv AT shulinliang predictingdailydrymatterintakeusingfeedintakeoffirsttwohoursafterfeedinginmidandlatelactationdairycowswithfedrationthreetimesperday
AT chaoqunwu predictingdailydrymatterintakeusingfeedintakeoffirsttwohoursafterfeedinginmidandlatelactationdairycowswithfedrationthreetimesperday
AT wenchaopeng predictingdailydrymatterintakeusingfeedintakeoffirsttwohoursafterfeedinginmidandlatelactationdairycowswithfedrationthreetimesperday
AT jianxinliu predictingdailydrymatterintakeusingfeedintakeoffirsttwohoursafterfeedinginmidandlatelactationdairycowswithfedrationthreetimesperday
AT huizengsun predictingdailydrymatterintakeusingfeedintakeoffirsttwohoursafterfeedinginmidandlatelactationdairycowswithfedrationthreetimesperday
_version_ 1724346922973528064