Abstract:Current breeding tools aiming to improve feed efficiency use definitions based on total dry matter intake (DMI); for example, residual feed intake or feed saved. This research aimed to define alternative traits using existing data that differentiate between feed intake capacity and roughage or concentrate intake, and to investigate the phenotypic and genetic relationships among these traits. The data set contained 39,017 weekly milk yield, live weight, and DMI records of 3,164 cows. The 4 defined traits were a… Show more
“…Data from 329 French Holstein cows were collected from 2014-2020, at the Le Pin and Méjusseaume research herds (Martin et al, 2021a;Lefebvre et al submitted to WCGALP 2022). Data from 1,953 Dutch Holstein cows were collected from 1991-2019, in different research herds at Wageningen University (Heida et al, 2021). The Danish, French and Dutch data were shared as a part of the Gentore project (https://www.gentore.eu).…”
To optimize breeding for feed efficiency, dry matter intake data from 3,967 Holstein cows with 131,234 weekly records from Denmark, France, The Netherlands, and Canada were combined. A random regression model was fitted to 1 st and 2 nd parity data for dry matter intake, energy corrected milk and body weight. Results showed that genetic residual feed intake is heritable in both parities, with an average heritability of 0.21. Genetic correlations across lactation and parities showed moderate to high estimates between mid and late lactation within parity. Early lactation had low genetic correlation with mid and late lactation. The genetic correlations between parities were around zero at all lactation stages. These findings show the importance of data collection and modelling at all lactation stages and parities.
“…Data from 329 French Holstein cows were collected from 2014-2020, at the Le Pin and Méjusseaume research herds (Martin et al, 2021a;Lefebvre et al submitted to WCGALP 2022). Data from 1,953 Dutch Holstein cows were collected from 1991-2019, in different research herds at Wageningen University (Heida et al, 2021). The Danish, French and Dutch data were shared as a part of the Gentore project (https://www.gentore.eu).…”
To optimize breeding for feed efficiency, dry matter intake data from 3,967 Holstein cows with 131,234 weekly records from Denmark, France, The Netherlands, and Canada were combined. A random regression model was fitted to 1 st and 2 nd parity data for dry matter intake, energy corrected milk and body weight. Results showed that genetic residual feed intake is heritable in both parities, with an average heritability of 0.21. Genetic correlations across lactation and parities showed moderate to high estimates between mid and late lactation within parity. Early lactation had low genetic correlation with mid and late lactation. The genetic correlations between parities were around zero at all lactation stages. These findings show the importance of data collection and modelling at all lactation stages and parities.
“…Residual feed intake (RFI) is a moderately heritable trait that expresses the difference between actual feed consumed and predicted feed intake based on maintenance and growth; the lower the RFI value the more efficient the animal is ( Heida et al., 2021 ; Johnson et al., 2019 ; ( Terry et al., 2021 ). Wang et al.…”
Section: Maternal Nutrition Foetal Development and Bullsmentioning
confidence: 99%
“…Feed conversion ratio (FCR) expresses the amount of feed required to produce 1 kg of liveweight ( Heida et al., 2021 ; ( Terry et al., 2021 )). A feedlot study by ( Fox, Tedeschi and Guiroy, 2001 ) found that a 10% FCR increase results in a 43% increase in profit, whilst a 10% ADG increase resulted in an 18% profit increase.…”
Highlights
Northern Australia accounts for 49% of the national beef cattle herd.
Harsh environmental conditions make nutrition challenging and impact herd productivity.
Phosphorus deficiency contributes to low fertility rates and poor turn-off weights.
Improvement of carcass quality in tropical beef cattle needs marker assisted selection.
Knowledge gaps from the published literature to inform future research summarised.
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