Prediction of Nitrogen Excretion of Holstein Dairy Cows Based on Mixed Regression Analysis

DONG Ruilan; SUN Guoqiang; YU Guanghui

doi:10.3969/j.issn.1006-267x.2021.05.029

Chinese Journal of Animal Nutrition >

2021 , Vol. 33 >Issue 5: 2696 - 2706

DOI: https://doi.org/10.3969/j.issn.1006-267x.2021.05.029

Prediction of Nitrogen Excretion of Holstein Dairy Cows Based on Mixed Regression Analysis

DONG Ruilan ,
SUN Guoqiang ,
YU Guanghui

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College of Animal Science and Technology, Qingdao Agricultural University, Qingdao 266109, China

Received date: 2020-09-30

Online published: 2021-05-14

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Abstract

To accurately predict the nitrogen excretion of Holstein dairy cows, a dataset comprising 27 published studies were developed in this study. Variables included body weight (BW), dry matter intake (DMI), crude protein (CP), nitrogen intake (NI), forage proportion (FP), milk yield (MY), milk nitrogen (MN), milk urea nitrogen (MUN), apparent total tract nitrogen digestibility (TTND), proportion of milk nitrogen in nitrogen intake (MN/NI), proportion of nitrogen intake in dry matter intake (NI/DMI), feed efficiency (FE), nitrogen retention (NR) and urinary nitrogen (UN), fecal nitrogen (FN), total nitrogen (TN), proportion of urinary nitrogen in total nitrogen (UN/TN). Correlation analysis examined relationships between related variables of animal or dietary factors and nitrogen excretion. A mixed model regression analysis was used to develop models to predict nitrogen excretion in urine and feces. The results showed that there were significant correlations between the single variables of NI and UN, FN and TN (P<0.01), there was significant correlation between TTND and UN/TN (P<0.01), and with higher correlation coefficients. The linear prediction models of UN of dairy cows [UN(g/d)=4.80(±16.99)+0.34NI (±0.03) (R²=0.57, n=54, P<0.01)] and the multilinear prediction model [UN(g/d)=-166.9(±33.10)+2.81CP (±6.25)+10.62DMI (±1.24)+3.50NI/DMI (±3.82) (R²=0.58, n=54, P<0.01)] were fit well. The linear prediction models of FN of dairy cows [FN(g/d)=42.91(±13.51)+0.21NI(±0.03) (R²=0.65, n=54, P<0.01)] and the multilinear prediction model [FN(g/d)=34.44(±10.42)+0.11NI(±0.02)+2.43MY(±0.44) (R²=0.70, n=54, P<0.01)] were fit well. The linear prediction models of TN of dairy cows [TN(g/d)=37.58(±22.59)+0.57NI (±0.05) (R²=0.79, n=54, P<0.01)] and the multilinear prediction model [TN(g/d)=102.88(±32.11)+0.66NI(±0.06)-4.33NI/DMI(±1.67) (R²=0.81, n=54, P<0.01)] were fit well. The linear prediction models of UN/TN of dairy cows [UN/TN=-0.09(±0.14)+0.009 TTND(±0.002) (R²=0.50, n=54, P<0.01)] and the multilinear prediction model [UN/TN=-0.50(±0.08)+0.000 14 NI(±0.000 05)+0.015 TTND(±0.001)-0.000 9 NR(±0.000 2)(R²=0.77, n=54, P<0.01)] were fit well. In conclusion, the mixed regression analysis can predict nitrogen excretion of Holstein dairy cows.

Key words： Holstein dairy cows; urinary nitrogen; fecal nitrogen; prediction models; mixed regression analysis

Cite this article

DONG Ruilan , SUN Guoqiang , YU Guanghui . Prediction of Nitrogen Excretion of Holstein Dairy Cows Based on Mixed Regression Analysis[J]. Chinese Journal of Animal Nutrition, 2021 , 33(5) : 2696 -2706 . DOI: 10.3969/j.issn.1006-267x.2021.05.029

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