Lactational performance effects of 3-nitrooxypropanol supplementation to dairy cows: A meta-regression

被引:0
作者
Martins, L. F. [1 ]
Maigaard, M. [2 ]
Johansen, M. [2 ]
Lund, P. [2 ]
Ma, X. [3 ]
Niu, M. [3 ]
Hristov, A. N. [1 ]
机构
[1] Penn State Univ, Dept Anim Sci, University Pk, PA 16802 USA
[2] Aarhus Univ, AU Viborg Res Ctr Foulum, Dept Anim & Vet Sci, DK-8830 Tjele, Denmark
[3] Swiss Fed Inst Technol, Inst Agr Sci, Dept Environm Syst Sci, Anim Nutr, CH-8092 Zurich, Switzerland
基金
美国食品与农业研究所;
关键词
inhibitor; methane; meta-analysis; milk production; ENTERIC METHANE EMISSIONS; HYDROGEN EMISSIONS; RUMEN FERMENTATION; FEED-INTAKE; MILK; ENERGY; METAANALYSIS; RUMINANTS;
D O I
10.3168/jds.2024-25653
中图分类号
S8 [畜牧、 动物医学、狩猎、蚕、蜂];
学科分类号
0905 ;
摘要
A meta-regression was conducted to determine the production effects of 3-nitrooxypropanol (3-NOP) and investigate their associations with dose, dietary nutrient composition, and supplementation length in dairy cows. Forty treatment and control mean comparisons extracted from 21 studies conducted or published between 2014 to 2024 were used in the meta-regression. Response variables were DMI, milk yield (MY), ECM yield, ECM feed efficiency, BW, BW change, and concentrations of milk fat, true protein, lactose, and MUN. Treatment and control mean differences (MD) as well as standardized MD were calculated and used for data presentation and statistical analysis, respectively. Dose (+/- SD; 77.0 +/- 33.17 mg 3-NOP/kg DMI), forage-to-concentrate ratio (FC; 58.9 +/- 8.83%, expressed as average +/- SD% of forage in the diet), dietary concentrations of CP, ether extract, NDF, and starch (16.3 +/- 1.84%, 4.3 +/- 1.03%, 33.7 +/- 4.40%, and 20.9 +/- 3.97%, as average +/- SD% of DM, respectively), supplementation length (days), and DIM and BW of the cows at the beginning of the study were used as continuous explanatory variables. Mixed-effects models were fitted using the robust variance estimation method. Full models containing uncorrelated explanatory variables (Pearson correlation <0.50) were fitted, and variables were removed from the final model if nonsignificant using the stepwise selection approach. Compared with control, supplementation of 3-NOP decreased DMI and MY by 0.80 +/- 0.149 and 0.98 +/- 0.250 kg/d, respectively, but only numerically decreased ECM by 0.50 +/- 0.298 kg/d. Consequently, feed efficiency was increased by 0.05 +/- 0.012 kg ECM/kg DMI with 3-NOP supplementation. Body weight and BW change were not affected by 3-NOP supplementation. Milk fat, true protein, and MUN concentrations were increased by 0.09 +/- 0.028%, 0.02 +/- 0.006%, and 0.59 +/- 0.106 mg/dL, respectively. Increasing 3-NOP dose further decreased DMI and increased milk fat and MUN concentrations. Increasing dietary NDF and FC lessened the negative effect of 3-NOP on DMI and MY, respectively, and decreased its effect on milk fat and MUN (dietary NDF concentration effect only). Similarly, increasing dietary CP lessened the negative effect of 3-NOP on DMI and decreased its effect on MUN. To explain some of the production effects herein observed, ruminal fermentation data from 6 published studies were included in the meta-regression. Supplementation of 3-NOP tended to increase rumen pH and decreased NH3 concentration. Concentrations of total VFA, acetate, and the acetate-to-propionate ratio were decreased, whereas the concentration of propionate was increased, and that of butyrate was numerically increased by 3-NOP supplementation. Overall, 3-NOP supplementation of dairy cow diets decreased DMI and MY but did not affect ECM because of increased milk fat and true protein contents. Increased milk fat and MUN responses can be explained by shifted ruminal fermentation, and the increased milk true protein response may be explained by increased rumen propionate molar proportion by 3-NOP supplementation.
引用
收藏
页码:1538 / 1553
页数:16
相关论文
共 49 条
[41]   Handling Complex Meta-analytic Data Structures Using Robust Variance Estimates: a Tutorial in R [J].
Tanner-Smith E.E. ;
Tipton E. ;
Polanin J.R. .
Journal of Developmental and Life-Course Criminology, 2016, 2 (1) :85-112
[42]  
USDA, 2024, CLS-0423
[43]  
USFDA (US Food and Drug Administration), 2024, Letter: Dr. A. Bridges, Elanco US Inc. Center for Veterinary Medicine
[44]   Long-term effects of 3-nitrooxypropanol on methane emission and milk production characteristics in Holstein-Friesian dairy cows [J].
van Gastelen, Sanne ;
Burgers, Eline E. A. ;
Dijkstra, Jan ;
de Mol, Rudi ;
Muizelaar, Wouter ;
Walker, Nicola ;
Bannink, Andre .
JOURNAL OF DAIRY SCIENCE, 2024, 107 (08) :5556-5573
[45]   Methane mitigation potential of 3-nitrooxypropanol in lactating cows is influenced by basal diet composition [J].
van Gastelen, Sanne ;
Dijkstra, Jan ;
Heck, Jeroen M. L. ;
Kindermann, Maik ;
Klop, Arie ;
de Mol, Rudi ;
Rijnders, Dennis ;
Walker, Nicola ;
Bannink, Andre .
JOURNAL OF DAIRY SCIENCE, 2022, 105 (05) :4064-4082
[46]   3-Nitrooxypropanol decreases methane emissions and increases hydrogen emissions of early lactation dairy cows, with associated changes in nutrient digestibility and energy metabolism [J].
van Gastelen, Sanne ;
Dijkstra, Jan ;
Binnendijk, Gisabeth ;
Duval, Stephane M. ;
Heck, Jeroen M. L. ;
Kindermann, Maik ;
Zandstra, Tamme ;
Bannink, Andre .
JOURNAL OF DAIRY SCIENCE, 2020, 103 (09) :8074-8093
[47]   Reducing enteric methane emissions from dairy cattle: Two ways to supplement 3-nitrooxypropanol [J].
Van Wesemael, D. ;
Vandaele, L. ;
Ampe, B. ;
Cattrysse, H. ;
Duval, S. ;
Kindermann, M. ;
Fievez, V ;
De Campeneere, S. ;
Peiren, N. .
JOURNAL OF DAIRY SCIENCE, 2019, 102 (02) :1780-1787
[48]   Conducting Meta-Analyses in R with the metafor Package [J].
Viechtbauer, Wolfgang .
JOURNAL OF STATISTICAL SOFTWARE, 2010, 36 (03) :1-48
[49]  
Wang K., 2024, J. Dairy Sci., V107, P79