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Women's magazines as facilitators of Christmas rituals

PurposeThe purpose of this paper is to focus on the editorial content of monthly women's magazines and consider their role in facilitating the Christmas food rituals. Of particular interest is the extent to which the special food features have adapted to support the changes in women's lifestyles over the last 20 years.Design/methodology/approachThe authors conducted a longitudinal social semiotic analysis of Christmas food features in women's magazines in Australia and the UK over the period 1991‐2011.FindingsThe analysis reveals a recurring conflict between the magazine content and the lifestyles of their readers. For families to participate in and maintain the Christmas ritual still means devotion, typically by a woman. The message has not changed, even though the work/home balance for many women has. The responsibility for putting the “magic” in Christmas lies firmly at the woman's feet. The magazines' text convey a contradictory message by offering readers budget and timesaving tips, while their visuals imply that such “shortcuts” stand in the way of the sought‐after magical Christmas, the rituals must be followed in full.Research limitations/implicationsAdopting a longitudinal social semiotic analysis enabled the authors to conduct a detailed comparison of both text and imagery across the magazines and across the years. The authors were also able to report on how the sign complexes such as colour and text worked in combination to create a social message.Originality/valueWhilst women's magazines remain an important vehicle for the transmission of social values, the paper's findings demonstrate that they are not necessarily adapting to social change.

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A comparison of five methods to predict genomic breeding values of dairy bulls from genome-wide SNP markers

BackgroundGenomic selection (GS) uses molecular breeding values (MBV) derived from dense markers across the entire genome for selection of young animals. The accuracy of MBV prediction is important for a successful application of GS. Recently, several methods have been proposed to estimate MBV. Initial simulation studies have shown that these methods can accurately predict MBV. In this study we compared the accuracies and possible bias of five different regression methods in an empirical application in dairy cattle.MethodsGenotypes of 7,372 SNP and highly accurate EBV of 1,945 dairy bulls were used to predict MBV for protein percentage (PPT) and a profit index (Australian Selection Index, ASI). Marker effects were estimated by least squares regression (FR-LS), Bayesian regression (Bayes-R), random regression best linear unbiased prediction (RR-BLUP), partial least squares regression (PLSR) and nonparametric support vector regression (SVR) in a training set of 1,239 bulls. Accuracy and bias of MBV prediction were calculated from cross-validation of the training set and tested against a test team of 706 young bulls.ResultsFor both traits, FR-LS using a subset of SNP was significantly less accurate than all other methods which used all SNP. Accuracies obtained by Bayes-R, RR-BLUP, PLSR and SVR were very similar for ASI (0.39-0.45) and for PPT (0.55-0.61). Overall, SVR gave the highest accuracy.All methods resulted in biased MBV predictions for ASI, for PPT only RR-BLUP and SVR predictions were unbiased. A significant decrease in accuracy of prediction of ASI was seen in young test cohorts of bulls compared to the accuracy derived from cross-validation of the training set. This reduction was not apparent for PPT. Combining MBV predictions with pedigree based predictions gave 1.05 - 1.34 times higher accuracies compared to predictions based on pedigree alone. Some methods have largely different computational requirements, with PLSR and RR-BLUP requiring the least computing time.ConclusionsThe four methods which use information from all SNP namely RR-BLUP, Bayes-R, PLSR and SVR generate similar accuracies of MBV prediction for genomic selection, and their use in the selection of immediate future generations in dairy cattle will be comparable. The use of FR-LS in genomic selection is not recommended.

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Impact of animal health and welfare research within the CRC for Cattle and Beef Quality on Australian beef production

Research within the health and welfare program of the Cooperative Research Centre for Cattle and Beef Quality has delivered important improvements to the Australian cattle industry. Vaccines to assist with the control of bovine respiratory disease were developed and commercialised from Australian isolates of Mannheimia haemolytica and pestivirus (mucosal disease). Our understanding of the benefits of weaning cattle by confinement and hand feeding in yards (yard weaning) has been consolidated, and yard weaning has been adopted as ‘best practice’ for cattle production in the temperate zones of Australia. The importance of good temperament for improved growth rates and reduced morbidity during feedlot finishing, and for adaptation to stressors such as road transport, has been demonstrated. In response to this knowledge, industry is increasingly measuring flight time for use in breeding programs and feedlot management. The risk to meat quality of stressors such as mixing unfamiliar cattle in the weeks preceding slaughter or acute stress in the last 15 min before slaughter has been described. Adoption of these findings through Quality Assurance schemes will assist in assurance for the community and for export markets of the welfare standards of the Australian cattle and beef industry. This review provides details of the experiments that led to these achievements and to some improved understandings of temperament and behaviour of beef cattle.

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