دورية أكاديمية
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Enteric Methane Emissions Prediction in Dairy Cattle and Effects of Monensin on Methane Emissions: A Meta-Analysis.

التفاصيل البيبلوغرافية
العنوان: Enteric Methane Emissions Prediction in Dairy Cattle and Effects of Monensin on Methane Emissions: A Meta-Analysis.
المؤلفون: Marumo JL; Department of Animal Science, Cornell University, Ithaca, NY 14853, USA., LaPierre PA; Department of Animal Science, Cornell University, Ithaca, NY 14853, USA., Van Amburgh ME; Department of Animal Science, Cornell University, Ithaca, NY 14853, USA.
المصدر: Animals : an open access journal from MDPI [Animals (Basel)] 2023 Apr 18; Vol. 13 (8). Date of Electronic Publication: 2023 Apr 18.
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: Molecular Diversity Preservation International Country of Publication: Switzerland NLM ID: 101635614 Publication Model: Electronic Cited Medium: Print ISSN: 2076-2615 (Print) Linking ISSN: 20762615 NLM ISO Abbreviation: Animals (Basel) Subsets: PubMed not MEDLINE
أسماء مطبوعة: Original Publication: Basel, Switzerland : Molecular Diversity Preservation International, 2011-
مستخلص: Greenhouse gas emissions, such as enteric methane (CH 4 ) from ruminant livestock, have been linked to global warming. Thus, easily applicable CH 4 management strategies, including the inclusion of dietary additives, should be in place. The objectives of the current study were to: (i) compile a database of animal records that supplemented monensin and investigate the effect of monensin on CH 4 emissions; (ii) identify the principal dietary, animal, and lactation performance input variables that predict enteric CH 4 production (g/d) and yield (g/kg of dry matter intake DMI); (iii) develop empirical models that predict CH 4 production and yield in dairy cattle; and (iv) evaluate the newly developed models and published models in the literature. A significant reduction in CH 4 production and yield of 5.4% and 4.0%, respectively, was found with a monensin supplementation of ≤24 mg/kg DM. However, no robust models were developed from the monensin database because of inadequate observations under the current paper's inclusion/exclusion criteria. Thus, further long-term in vivo studies of monensin supplementation at ≤24 mg/kg DMI in dairy cattle on CH 4 emissions specifically beyond 21 days of feeding are reported to ensure the monensin effects on the enteric CH 4 are needed. In order to explore CH 4 predictions independent of monensin, additional studies were added to the database. Subsequently, dairy cattle CH 4 production prediction models were developed using a database generated from 18 in vivo studies, which included 61 treatment means from the combined data of lactating and non-lactating cows (COM) with a subset of 48 treatment means for lactating cows (LAC database). A leave-one-out cross-validation of the derived models showed that a DMI-only predictor model had a similar root mean square prediction error as a percentage of the mean observed value (RMSPE, %) on the COM and LAC database of 14.7 and 14.1%, respectively, and it was the key predictor of CH 4 production. All databases observed an improvement in prediction abilities in CH 4 production with DMI in the models along with dietary forage proportion inclusion and the quadratic term of dietary forage proportion. For the COM database, the CH 4 yield was best predicted by the dietary forage proportion only, while the LAC database was for dietary forage proportion, milk fat, and protein yields. The best newly developed models showed improved predictions of CH 4 emission compared to other published equations. Our results indicate that the inclusion of dietary composition along with DMI can provide an improved CH 4 production prediction in dairy cattle.
References: J Dairy Sci. 2001 Apr;84(4):741-55. (PMID: 11352149)
J Dairy Sci. 2015 Aug;98(8):5557-71. (PMID: 25981079)
J Dairy Sci. 1997 Jul;80(7):1463-81. (PMID: 9241608)
J Anim Sci. 2018 Apr 3;96(3):1171-1180. (PMID: 29617807)
J Dairy Sci. 2015 Sep;98(9):6340-60. (PMID: 26142848)
J Dairy Sci. 2020 Feb;103(2):1516-1527. (PMID: 31759586)
J Anim Sci. 2003 Dec;81(12):3141-50. (PMID: 14677870)
J Dairy Sci. 2018 Sep;101(9):7892-7906. (PMID: 29908813)
J Dairy Sci. 2020 Jul;103(7):6145-6156. (PMID: 32278563)
J Dairy Sci. 2014;97(4):2376-86. (PMID: 24508429)
J Dairy Sci. 2014;97(6):3231-61. (PMID: 24746124)
Animals (Basel). 2016 Sep 08;6(9):. (PMID: 27618107)
J Dairy Sci. 2015 Jan;98(1):486-99. (PMID: 25465630)
Glob Chang Biol. 2014 Jul;20(7):2140-8. (PMID: 24259373)
J Dairy Sci. 2007 Apr;90(4):1781-8. (PMID: 17369219)
J Anim Sci. 2012 Aug;90(8):2717-26. (PMID: 22896736)
J Dairy Sci. 1965 Sep;48(9):1215-23. (PMID: 5843077)
JDS Commun. 2023 Feb 09;4(3):181-185. (PMID: 37360129)
J Dairy Sci. 2016 Oct;99(10):7904-7917. (PMID: 27522422)
Sci Total Environ. 2022 Jun 15;825:153982. (PMID: 35202679)
Animal. 2020 Sep;14(S3):s464-s472. (PMID: 32398185)
J Dairy Sci. 2013 Aug;96(8):5161-73. (PMID: 23769353)
J Dairy Sci. 2015 Mar;98(3):1915-27. (PMID: 25582590)
J Anim Sci. 1981 Mar;52(3):628-34. (PMID: 6267003)
J Environ Qual. 2009 Dec 30;39(1):106-14. (PMID: 20048298)
J Anim Sci. 1998 Mar;76(3):906-14. (PMID: 9535354)
Animals (Basel). 2022 Apr 07;12(8):. (PMID: 35454195)
J Anim Sci. 1983 Jul;57(1):168-77. (PMID: 6885657)
J Dairy Sci. 1997 Aug;80(8):1674-84. (PMID: 9276807)
J Anim Sci. 2006 Jul;84(7):1896-906. (PMID: 16775074)
Animal. 2013 Jun;7 Suppl 2:220-34. (PMID: 23739465)
J Dairy Sci. 2010 Nov;93(11):5300-8. (PMID: 20965346)
J Dairy Sci. 2020 Dec;103(12):11332-11348. (PMID: 33069418)
J Dairy Sci. 2013 Jul;96(7):4553-67. (PMID: 23684039)
J Dairy Sci. 2008 Mar;91(3):1159-65. (PMID: 18292272)
Animal. 2020 Sep;14(S3):s438-s452. (PMID: 32778195)
J Anim Sci. 1995 Aug;73(8):2483-92. (PMID: 8567486)
J Dairy Sci. 2018 May;101(5):4221-4234. (PMID: 29477520)
J Anim Sci. 1986 Jun;62(6):1737-41. (PMID: 3733567)
J Anim Sci. 2018 Jun 29;96(7):2923-2938. (PMID: 29741701)
J Dairy Sci. 2017 Oct;100(10):8119-8131. (PMID: 28780096)
Appl Environ Microbiol. 1989 Jan;55(1):1-6. (PMID: 2650616)
J Dairy Sci. 2007 Jul;90(7):3456-66. (PMID: 17582129)
J Dairy Sci. 2008 Apr;91(4):1347-60. (PMID: 18349227)
Glob Chang Biol. 2018 Aug;24(8):3368-3389. (PMID: 29450980)
J Anim Sci. 2004 Nov;82(11):3346-56. (PMID: 15542482)
J Vet Pharmacol Ther. 2021 Jul;44(4):619-627. (PMID: 33206406)
Animal. 2016 Mar;10(3):418-25. (PMID: 26888487)
PLoS One. 2019 Apr 22;14(4):e0211565. (PMID: 31009472)
Glob Chang Biol. 2016 Sep;22(9):3039-56. (PMID: 27148862)
J Dairy Sci. 2020 Sep;103(9):8048-8061. (PMID: 32622607)
J Dairy Sci. 2003 Jan;86(1):344-50. (PMID: 12613877)
Br J Nutr. 1982 May;47(3):565-76. (PMID: 7082625)
J Dairy Sci. 2013 Apr;96(4):2476-2493. (PMID: 23403199)
معلومات مُعتمدة: Updates and modifications to the Cornell Net Carbohydrate and Protein System versions 6.55 and 7.0 to quantify, help manage and potentially mitigate greenhouse gas emissions from dairy cattle Dairy Management Inc., Rosemont, IL; 0/N Elanco Animal Health from Greenfield, IN
فهرسة مساهمة: Keywords: dairy cattle; dry matter intake; empirical modeling; enteric methane emissions; methane prediction equation; methane production; monensin
تواريخ الأحداث: Date Created: 20230428 Latest Revision: 20240917
رمز التحديث: 20240917
مُعرف محوري في PubMed: PMC10135289
DOI: 10.3390/ani13081392
PMID: 37106954
قاعدة البيانات: MEDLINE
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