Literature DB >> 30945778

Detailed genetic analysis of feeding behaviour in Romane lambs and links with residual feed intake.

Christel Marie-Etancelin1, Dominique Francois1, Jean-Louis Weisbecker1, Didier Marcon2, Carole Moreno-Romieux1, Frédéric Bouvier2, Flavie Tortereau1.   

Abstract

Breeding strategies based on feed efficiency are now implemented in most animal species using residual feed intake (RFI) criteria. Although relevant, the correlated responses of feeding behaviour traits resulting from such selection on RFI are poorly documented. We report the estimated feeding behaviour at three time levels (visit, meal and day) and genetic parameters between the feeding behaviour traits and their links with RFI and its components. Feed intake, feeding duration at three time levels (per visit, meal and day), feeding rate, number of visits and time-between-visits were estimated for 951 Romane lambs fed via automatic concentrate feeders. Heritability estimates of feeding behaviour traits ranged from 0.19 to 0.54 with higher estimates for the day level than the visit level. Daily feed intake was not genetically linked to feed intake at the visit level, whereas feeding duration between visit and day levels was moderately correlated (Rg  = +0.41 ± 0.12). RFI was not significantly correlated with feeding rate, but was positively linked to feed intake and feeding duration at the day level (+0.73 ± 0.09 and +0.41 ± 0.13, respectively) and negatively at the visit level (-0.33 ± 0.14 and -0.22 ± 0.17, respectively). Selecting animals with lower RFI values might modify their feeding behaviour by increasing feed intake and feeding duration at the visit level but decrease the number of visits per day (+0.51 ± 0.14).
© 2019 Blackwell Verlag GmbH.

Entities:  

Keywords:  feeding behaviour; genetic parameter; residual feed intake; sheep

Mesh:

Year:  2019        PMID: 30945778     DOI: 10.1111/jbg.12392

Source DB:  PubMed          Journal:  J Anim Breed Genet        ISSN: 0931-2668            Impact factor:   2.380


  7 in total

1.  Eating Time as a Genetic Indicator of Methane Emissions and Feed Efficiency in Australian Maternal Composite Sheep.

Authors:  Boris J Sepulveda; Stephanie K Muir; Sunduimijid Bolormaa; Matthew I Knight; Ralph Behrendt; Iona M MacLeod; Jennie E Pryce; Hans D Daetwyler
Journal:  Front Genet       Date:  2022-05-11       Impact factor: 4.772

2.  Quality of breeding value predictions from longitudinal analyses, with application to residual feed intake in pigs.

Authors:  Ingrid David; Anne Ricard; Van-Hung Huynh-Tran; Jack C M Dekkers; Hélène Gilbert
Journal:  Genet Sel Evol       Date:  2022-05-13       Impact factor: 5.100

3.  Evaluation of the Links between Lamb Feed Efficiency and Rumen and Plasma Metabolomic Data.

Authors:  Florian Touitou; Flavie Tortereau; Lydie Bret; Nathalie Marty-Gasset; Didier Marcon; Annabelle Meynadier
Journal:  Metabolites       Date:  2022-03-29

4.  Detection of unrecorded environmental challenges in high-frequency recorded traits, and genetic determinism of resilience to challenge, with an application on feed intake in lambs.

Authors:  Carolina Andrea Garcia-Baccino; Christel Marie-Etancelin; Flavie Tortereau; Didier Marcon; Jean-Louis Weisbecker; Andrés Legarra
Journal:  Genet Sel Evol       Date:  2021-01-06       Impact factor: 4.297

5.  Genetic variability in the feeding behavior of crossbred growing cattle and associations with performance and feed efficiency.

Authors:  David N Kelly; Roy D Sleator; Craig P Murphy; Stephen B Conroy; Donagh P Berry
Journal:  J Anim Sci       Date:  2021-11-01       Impact factor: 3.159

6.  Characterization of grazing behaviour microstructure using point-of-view cameras.

Authors:  Elvira Sales-Baptista; Maria Isabel Ferraz-de-Oliveira; Marina Terra-Braga; José António Lopes de Castro; João Serrano; Manuel Cancela d'Abreu
Journal:  PLoS One       Date:  2022-03-18       Impact factor: 3.240

7.  New residual feed intake criterion for longitudinal data.

Authors:  Ingrid David; Van-Hung Huynh Tran; Hélène Gilbert
Journal:  Genet Sel Evol       Date:  2021-06-25       Impact factor: 4.297

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.