Blood collection has negligible impact on scoring temperament in Angus-based weaned calves

Hanna, Lauren L Hulsman; Hieber, Jordan K; Hyeong-keun, Yu; Celestino, Elfren F.; Dahlen, Carl R; Wagner, Sarah; Riley, David G.

doi:10.1016/j.livsci.2019.103835

Cited by 5 publications

(2 citation statements)

References 12 publications

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“…Temperament in cows has an influence on many production aspects, such as immunity, carcass characteristics and ability to learn [ 19 , 30 , 71 , 72 , 73 ]. There was a relationship between temperament and fecal microbiota as well as serum and fecal metabolites of calm and nervous six-month-old Brahman bulls and heifers [ 74 ].…”

Section: Temperament Vs Productive Traitsmentioning

confidence: 99%

Contemporary Knowledge on the Assessment of Temperament in Cattle and Its Impact on Production and Reproduction Including Some Immunological, Genetic and Metabolic Parameters

Jaśkowski

Herudzińska

et al. 2023

Animals

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Temperament is associated with the well-being, health, production and reproduction of cattle. In order to increase the population of individuals with the desired temperament, its evaluation should be standardized and be made one of the obligatory elements of breeding and veterinary examination. A number of different tests are used for temperament assessment. In this article, the importance of temperament correlation with some metabolic, genetic, immunological, production and reproductive parameters have been shown, pointing at its influence on the economy and cattle handling. The most common methods for assessing the temperament of cattle are presented, including long-time scales of temperament assessment. At the same time, the relationship of the temperament of cattle with production efficiency, immunity and reproductive indicators has been shown, indicating that its correct assessment is an important aspect of the proper development of the herd and the associated economic growth.

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Section: Temperament Vs Productive Traitsmentioning

confidence: 99%

Contemporary Knowledge on the Assessment of Temperament in Cattle and Its Impact on Production and Reproduction Including Some Immunological, Genetic and Metabolic Parameters

Jaśkowski

Herudzińska

et al. 2023

Animals

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“…where Y is a vector of factor scores with individuals ordered within traits, X is the incidence matrix of fixed effects, Z is the incidence matrix relating individuals with additive genetic effects, µ is the vector of intercept, b is the vector of fixed effects, u is the vector of additive genetic effects, and ǫ is the vector of residuals. The incidence matrix X included birth year by date of collection (n = 2 per year), primary breed, and sex following recommendations by (Burrow, 2001;Hulsman Hanna et al, 2019). The joint distribution of u and ǫ follows a multivariate normal…”

Section: Bayesian Multivariate Best Linear Unbiased Predictionmentioning

confidence: 99%

Deciphering Cattle Temperament Measures Derived From a Four-Platform Standing Scale Using Genetic Factor Analytic Modeling

et al. 2020

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The animal's reaction to human handling (i.e., temperament) is critical for work safety, productivity, and welfare. Subjective phenotyping methods have been traditionally used in beef cattle production. Even so, subjective scales rely on the evaluator's knowledge and interpretation of temperament, which may require substantial experience. Selection based on such subjective scores may not precisely change temperament preferences in cattle. The objectives of this study were to investigate the underlying genetic interrelationships among temperament measurements using genetic factor analytic modeling and validate a movement-based objective method (four-platform standing scale, FPSS) as a measure of temperament. Relationships among subjective methods of docility score (DS), temperament score (TS), 12 qualitative behavior assessment (QBA) attributes and objective FPSS including the standard deviation of total weight on FPSS over time (SSD) and coefficient of variation of SSD (CVSSD) were investigated using 1,528 calves at weaning age. An exploratory factor analysis (EFA) identified two latent variables account for TS and 12 QBA attributes, termed difficult and easy from their characteristics. Inclusion of DS in EFA was not a good fit because it was evaluated under restraint and other measures were not. A Bayesian confirmatory factor analysis inferred the difficult and easy scores discovered in EFA. This was followed by fitting a pedigree-based Bayesian multi-trait model to characterize the genetic interrelationships among difficult, easy, DS, SSD, and CVSSD. Estimates of heritability ranged from 0.18 to 0.4 with the posterior standard deviation averaging 0.06. The factors of difficult and easy exhibited a large negative genetic correlation of −0.92. Moderate genetic correlation was found between DS and difficult (0.36), easy (−0.31), SSD (0.42), and CVSSD (0.34) as well as FPSS with difficult (CVSSD: 0.35; SSD: 0.42) and easy (CVSSD: −0.35; SSD: −0.4). Correlation coefficients indicate selection could be performed with either and have similar outcomes. We contend that genetic factor analytic modeling provided a new approach to unravel the complexity of animal behaviors and FPSS-like measures could increase the efficiency of genetic selection by providing automatic, objective, and consistent phenotyping measures that could be an alternative of DS, which has been widely used in beef production.

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Evaluation of beef cattle temperament by eye temperature using infrared thermography technology

Chen

Ogdahl

Hanna

et al. 2021

Computers and Electronics in Agriculture

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Blood collection has negligible impact on scoring temperament in Angus-based weaned calves

Cited by 5 publications

References 12 publications

Contemporary Knowledge on the Assessment of Temperament in Cattle and Its Impact on Production and Reproduction Including Some Immunological, Genetic and Metabolic Parameters

Contemporary Knowledge on the Assessment of Temperament in Cattle and Its Impact on Production and Reproduction Including Some Immunological, Genetic and Metabolic Parameters

Deciphering Cattle Temperament Measures Derived From a Four-Platform Standing Scale Using Genetic Factor Analytic Modeling

Evaluation of beef cattle temperament by eye temperature using infrared thermography technology

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