The phenotypic relationship between residual intake and gain and other feed efficiency traits in Nellore cattle View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-02

AUTHORS

Darcilene Maria de Figueiredo, Maria Eugênia Zerlotti Mercadante, Aldrin Vieira Pires, Renata Helena Branco, Enilson Geraldo Ribeiro, Gabriel Machado Dallago, Marianne Schorer, Pedro Ribeiro Rocha

ABSTRACT

This study aimed to compare feed efficiency measures of Nellore beef cattle on different residual intake and gain (RIG) classes. We used data from 610 animals weighing on average 236.33 kg and average of 283 days of age from feedlot performance tests carried out between 2005 and 2012. Animals were grouped based on RIG into three different classes: high RIG (> mean + 0.5 standard deviation (SD), most efficient; n = 193), medium RIG (mean ± 0.5 SD; n = 235), and low RIG (< mean - 0.5 SD, least efficient; n = 182). Residual feed intake (RFI), residual gain (RG), feed conversion ratio (FCR), feed efficiency (FE), relative growth rate (RGR), and Kleiber ratio (KR) of animals in each RIG class were compared by Tukey test at 1% of probability. Phenotypic correlations between variables were evaluated as well. Animals on high RIG class showed lower dry matter intake (P < 0.01) and higher average daily gain (P < 0.01) than low RIG animals. Consequently, high RIG animals had lower FCR (P < 0.01) and higher FE (P < 0.01) than those animals in low RIG class. The most efficient animals based on RIG were also the most efficient animals based on RG and RFI. RIG was negatively correlated to dry matter intake (P < 0.01) and FCR (P < 0.01), and a positive correlation was found between RIG and FE (P < 0.01). Therefore, RIG appears to be a good parameter to select animals with reduced dry matter intake and high productive performance. More... »

PAGES

449-456

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11250-018-1714-4

DOI

http://dx.doi.org/10.1007/s11250-018-1714-4

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1107105918

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30232685


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