Plasma metabolites associated with residual feed intake and other productivity performance traits in beef cattle

Karisa, Brian K; Thomson, Jennifer M.; Wang, Z.; Li, C.; Montanholi, Y. R.; Miller, Stephen; Moore, S. S.; Plastow, Graham

doi:10.1016/j.livsci.2014.03.002

Cited by 73 publications

(73 citation statements)

References 37 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…cortisol) might be indicators for feed efficiency, although no marker has successfully explained enough of the variability in RFI that they were used as part of routine improvement program (Huang et al, 2006). Other putative biomarkers such as creatine, hipurate and carnitine were proposed to be used as a selection tool for feed efficiency (Karisa et al, 2014). Furthermore, using putative causative mutations in genes associated with feed efficiency in a customized genetic marker panel may improve breeding value prediction and result in more consistent prediction across breeds and management groups.…”

Section: Implications For Knowledge Of Molecular Pathways and Biomarkersmentioning

confidence: 99%

Review: Biological determinants of between-animal variation in feed efficiency of growing beef cattle

Cantalapiedra-Hijar

Abo-Ismail

Carstens

et al. 2018

Animal

176

112

View full text Add to dashboard Cite

Animal's feed efficiency in growing cattle (i.e. the animal ability to reach a market or adult BW with the least amount of feed intake), is a key factor in the beef cattle industry. Feeding systems have made huge progress to understand dietary factors influencing the average animal feed efficiency. However, there exists a considerable amount of animal-to-animal variation around the average feed efficiency observed in beef cattle reared in similar conditions, which is still far from being understood. This review aims to identify biological determinants and molecular pathways involved in the between-animal variation in feed efficiency with particular reference to growing beef cattle phenotyped for residual feed intake (RFI). Moreover, the review attempts to distinguish true potential determinants from those revealed through simple associations or indirectly linked to RFI through their association with feed intake. Most representative and studied biological processes which seem to be connected to feed efficiency were reviewed, such as feeding behaviour, digestion and methane production, rumen microbiome structure and functioning, energy metabolism at the whole body and cellular levels, protein turnover, hormone regulation and body composition. In addition, an overall molecular network analysis was conducted for unravelling networks and their linked functions involved in between-animal variation in feed efficiency. The results from this review suggest that feeding and digestive-related mechanisms could be associated with RFI mainly because they co-vary with feed intake. Although much more research is warranted, especially with high-forage diets, the role of feeding and digestive related mechanisms as true determinants of animal variability in feed efficiency could be minor. Concerning the metabolic-related mechanisms, despite the scarcity of studies using reference methods it seems that feed efficient animals have a significantly lower energy metabolic rate independent of the associated intake reduction. This lower heat production in feed efficient animals may result from a decreased protein turnover and a higher efficiency of ATP production in mitochondria, both mechanisms also identified in the molecular network analysis. In contrast, hormones and body composition could not be conclusively related to animal-to-animal variation in feed efficiency. The analysis of potential biological networks underlying RFI variations highlighted other significant pathways such as lipid metabolism and immunity and stress response. Finally, emerging knowledge suggests that metabolic functions underlying genetic variation in feed efficiency could be associated with other important traits in animal production. This emphasizes the relevance of understanding the biological basis of relevant animal traits to better define future balanced breeding programmes.

show abstract

Section: Implications For Knowledge Of Molecular Pathways and Biomarkersmentioning

confidence: 99%

Review: Biological determinants of between-animal variation in feed efficiency of growing beef cattle

Cantalapiedra-Hijar

Abo-Ismail

Carstens

et al. 2018

Animal

176

112

View full text Add to dashboard Cite

show abstract

“…Further, the biological basis for high efficiency in Group Low RFI is thought to be due to better energy and protein metabolism (Karisa et al 2014), improved mitochondrial respiration rate (Kolath et al 2006), increased gene expression of gut microorganisms (Bezerra et al 2013) or hypothalamus (Perkins et al 2014) as observed for Angus-sired cattle. Altogether these factors could improve feed efficiency.…”

Section: Composition Of Diets Residual Feed Intake Performance and mentioning

confidence: 99%

Nutrient utilisation and methane emissions in Sahiwal calves differing in residual feed intake

Sharma

Mahesh

Mohini

et al. 2014

Archives of Animal Nutrition

View full text Add to dashboard Cite

The presented study aimed at investigating the residual feed intake (RFI) of Sahiwal calves, nutrient utilisation as affected by RFI and its relationship with methane (CH4) emissions and some blood metabolites. Eighteen male Sahiwal calves (10-18 months of age; mean body weight 133 kg) were fed ad libitum with a total mixed ration. After calculating RFI for individual calves (-0.40 to +0.34 kg DM/d), they were divided into three groups with low, medium and high RFI, respectively. Dry matter intake (DMI) was higher (p < 0.05) in Group High RFI, whereas digestibility of all nutrients except crude protein and ether extract was significantly higher in Group Low RFI. Nitrogen balance was also significantly higher in Group Low RFI (20.2 g/d) than in Group High RFI (17.0 g/d). Average daily gain and feed conversion ratio were similar among the groups. With exception of glucose, concentrations of all measured blood metabolites were higher in Group High RFI (p < 0.05). Compared with Group High RFI, the CH4 emission of Group Low RFI was significantly lower (on the basis g/d and g/kg DMI by 11% and 19%, respectively). Furthermore, the CH4 emission [g/d] was significantly correlated with RFI (r = 0.77). Because higher feed efficiency and less CH4 production were observed in Group Low RFI, it was concluded that RFI can be used as a measure of feed efficiency, which has a potential to select Sahiwal calves for lowered CH4 emissions.

show abstract

“…More recent studies (Jami et al, 2014;McCann et al, 2014b;Myer et al, 2015;Roehe et al, 2016) have highlighted interrelationships that exist between host animals with divergent phenotypes for feed efficiency and their rumen microbiome structure. These recent advances in microbiomics, as well as metabolomics (metabolite profiles; Karisa et al, 2014), will drive discovery of more informative genomic markers for more accurate and robust selection for RFI across divergent cattle populations. Finally, advances in sensor technologies to enable individual-animal measurement of physiological (e.g., infrared thermography (IRT); Montanholi et al, 2009) and behavioral metrics (e.g., feeding behavior; Hafla et al, 2012a) associated with RFI will provide additional opportunities to identify phenotypic biomarkers that are predictive of RFI.…”

Section: Selection Strategies For Efficient Meat Productionmentioning

confidence: 99%

A glimpse of the future in animal nutrition science. 2. Current and future solutions

Tedeschi

Fonseca

Muir³

et al. 2017

R. Bras. Zootec.

View full text Add to dashboard Cite

-Despite tremendous advancements in the livestock sector, additional opportunities exist to improve even further livestock production around the globe. Forecasting is not an exact science and it relies heavily on past and current knowledge. Improvements in the nutritional sciences (both human and animal) include a better understanding of agents that cause deterioration of human health, improving the quality of animal products, applying effective fetal programming, developing new feeds and feeding strategies, and revisiting longstanding technologies. Improvements in the understanding of the rumen microbiome will enable scientists to increase the fermentation efficiency and, hopefully, select microbial species of greater interest. Improvements in remote sensing and ground-based instrumentation, telecommunications, and weather forecasting technologies will aid in the continued improvements of early warning systems to assist livestock producers in reducing risk and adapting to the changing environment. Broad utilization of sensor technologies will allow scientists to collect real-time data and, when combined with mathematical modeling, decision support systems will become an indispensable managerial tool for livestock production with the possibility to automate low-level decisions on the farm, such as supplementation schedules, sorting of animals, and early detection of disease and outbreaks. The identification of feed efficient animals may be the single most impactful advancement towards long-term livestock sustainability and the promise of feeding the world animal products. We contend that education across societal levels is the first step to solve current and future challenges of the livestock industry. The dilemma has been who will take the first step forward.

show abstract

Plasma metabolites associated with residual feed intake and other productivity performance traits in beef cattle

Cited by 73 publications

References 37 publications

Review: Biological determinants of between-animal variation in feed efficiency of growing beef cattle

Review: Biological determinants of between-animal variation in feed efficiency of growing beef cattle

Nutrient utilisation and methane emissions in Sahiwal calves differing in residual feed intake

A glimpse of the future in animal nutrition science. 2. Current and future solutions

Contact Info

Product

Resources

About