2021
DOI: 10.3168/jds.2020-19652
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Assessing feed efficiency in early and mid lactation and its associations with performance and health in Holstein cows

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Cited by 18 publications
(10 citation statements)
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“…Further, mid-lactation BCS and body weight did not differ ( p ≥ 0.29; Table 4 ) by postpartum health status. The lack of relationship between feed efficiency and health status observed in the present study is supported by Nehme Marinho et al [ 43 ], who found no association between RFI quartile and postpartum health disorders (excluding HYK, which was not evaluated). Hostens et al [ 11 ] modeled lactation curves for cows that were grouped into similar HLT, DIS, and DIS+ categories and reported that the lactation curves were altered by health status.…”
Section: Resultssupporting
confidence: 77%
“…Further, mid-lactation BCS and body weight did not differ ( p ≥ 0.29; Table 4 ) by postpartum health status. The lack of relationship between feed efficiency and health status observed in the present study is supported by Nehme Marinho et al [ 43 ], who found no association between RFI quartile and postpartum health disorders (excluding HYK, which was not evaluated). Hostens et al [ 11 ] modeled lactation curves for cows that were grouped into similar HLT, DIS, and DIS+ categories and reported that the lactation curves were altered by health status.…”
Section: Resultssupporting
confidence: 77%
“…Energy corrected milk (kg/d) was calculated as previously published 45 . Residual feed intake was calculated according to Nehme Marinho et al 46 , with the average of each day of lactation used in the study as time points. Briefly, a linear model including the fixed effects of NESec (Mcal/d), MBW (BW 0.75 ), and BEC (Mcal/d) were used in the MIXED procedure of SAS 9.4.…”
Section: Methodsmentioning
confidence: 99%
“…Finally, the organisms associated with DMI and each RFI parameter corrected for DMI in the rumen and lower gut were used in linear regression to understand how much of the variation in DMI (kg/d) could be explained by the microbiome. The calculation of DMI were performed using the original equation for RFI calculation 46 , one for each of the microbiomes, and the last one when all the parameters from the original equation and ASVs from both sites of the GI tract were taken into account. The lower gut microbiome associated with each efficiency variable in the metadata were also used to understand how much of the variation of these variables could be explained by their associated ASVs.…”
Section: Methodsmentioning
confidence: 99%
“…The use of RFI has been preferred because it accounts for milk production, body size traits, and parity [ 82 ] and is a potential target for genetic selection due to its connection to herd profitability and decreased environmental impact of dairy cattle. A study by Marinho et al [ 83 ] showed that the most feed-efficient cows ate approximately 4 kg/day less dry matter and produced the same amount of energy-corrected milk (ECM) with improved reproductive performance compared with the least feed-efficient cows.…”
Section: Discussionmentioning
confidence: 99%