Beef quality traits of heifer in comparison with steer, bull and cow at various feeding environments

Reddy, Bandugula Venkata; Sivakumar, Allur Subramaniyan; Jeong, Da Woon; Woo, Yang-Byung; Park, Sang-June; Lee, So‐Young; Byun, Ji-Yeon; Kim, Chang‐Ho; Cho, Soohyun; Hwang, Inho

doi:10.1111/asj.12266

Cited by 80 publications

(70 citation statements)

References 84 publications

(174 reference statements)

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“…(2015) carried out a review of papers studying differences in meat quality between animal sexes (e.g., heifers and steers). The authors highlight that the hormonal status of cattle plays a significant role in fat and protein distribution within muscles.…”

Section: Effects Of Farming Systems On Meat Qualitymentioning

confidence: 99%

Framework for life cycle assessment of livestock production systems to account for the nutritional quality of final products

McAuliffe

Takahashi

Lee

2018

Food and Energy Security

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Life cycle assessment (LCA) is widely regarded as a useful tool for comparing the environmental impacts of multiple livestock production systems. While LCA results are typically communicated in the form of environmental burdens per mass unit of the end product, it is increasingly becoming recognized that the product quality also needs to be accounted for to truly understand the value of a farming system to society. To date, a number of studies have examined environmental consequences of different food consumption patterns at the diet level; however, few have addressed nutritional variations of a single commodity attributable to production systems, leaving limited insight into how on‐farm practices can be improved to better balance environment and human nutrition. Using data from seven livestock production systems encompassing cattle, sheep, pigs, and poultry, this paper proposes a novel framework to incorporate nutritional value of meat products into livestock LCA. The results of quantitative case studies demonstrate that relative emissions intensities associated with different systems can be dramatically altered when the nutrient content of meat replaces the mass of meat as the functional unit, with cattle systems outperforming pig and poultry systems in some cases. This finding suggests that the performance of livestock systems should be evaluated under a whole supply chain approach, whereby end products originating from different farm management strategies are treated as competing but separate commodities.

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Section: Effects Of Farming Systems On Meat Qualitymentioning

confidence: 99%

Framework for life cycle assessment of livestock production systems to account for the nutritional quality of final products

McAuliffe

Takahashi

Lee

2018

Food and Energy Security

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“…15% to 23% of intramuscular fat at final slaughter [5]. It has been about 30 years since Hanwoo improvement program was implemented, in order to increase meat production and quality to meet the growing demand for beef in Korea [6]. …”

Section: Introductionmentioning

confidence: 99%

A whole genome association study to detect additive and dominant single nucleotide polymorphisms for growth and carcass traits in Korean native cattle, Hanwoo

Gao

Kim

et al. 2016

Asian-Australas J Anim Sci

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ObjectiveA whole genome association study was conducted to identify single nucleotide polymorphisms (SNPs) with additive and dominant effects for growth and carcass traits in Korean native cattle, Hanwoo.MethodsThe data set comprised 61 sires and their 486 Hanwoo steers that were born between spring of 2005 and fall of 2007. The steers were genotyped with the 35,968 SNPs that were embedded in the Illumina bovine SNP 50K beadchip and six growth and carcass quality traits were measured for the steers. A series of lack-of-fit tests between the models was applied to classify gene expression pattern as additive or dominant.ResultsA total of 18 (0), 15 (3), 12 (8), 15 (18), 11 (7), and 21 (1) SNPs were detected at the 5% chromosome (genome) - wise level for weaning weight (WWT), yearling weight (YWT), carcass weight (CWT), backfat thickness (BFT), longissimus dorsi muscle area (LMA) and marbling score, respectively. Among the significant 129 SNPs, 56 SNPs had additive effects, 20 SNPs dominance effects, and 53 SNPs both additive and dominance effects, suggesting that dominance inheritance mode be considered in genetic improvement for growth and carcass quality in Hanwoo. The significant SNPs were located at 33 quantitative trait locus (QTL) regions on 18 Bos Taurus chromosomes (i.e. BTA 3, 4, 5, 6, 7, 9, 11, 12, 13, 14, 16, 17, 18, 20, 23, 26, 28, and 29) were detected. There is strong evidence that BTA14 is the key chromosome affecting CWT. Also, BTA20 is the key chromosome for almost all traits measured (WWT, YWT, LMA).ConclusionThe application of various additive and dominance SNP models enabled better characterization of SNP inheritance mode for growth and carcass quality traits in Hanwoo, and many of the detected SNPs or QTL had dominance effects, suggesting that dominance be considered for the whole-genome SNPs data and implementation of successive molecular breeding schemes in Hanwoo.

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“…It is well established that bulls grow more rapidly, are more feed efficient and produce higher yielding carcasses with less fat than steers (Field, 1971). Female cattle also have more favourable genes for fat deposition and a hormonal profile that directly influences fatty acid proportion and distribution in muscles (Venkata Reddy et al, 2015). Along with the effect on lean meat yield, it is likely that these differences in adiposity would have an effect on eating quality.…”

Section: Introductionmentioning

confidence: 99%

The variation in the eating quality of beef from different sexes and breed classes cannot be completely explained by carcass measurements

Bonny

Hocquette

Pethick

et al. 2016

Animal

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Delivering beef of consistent quality to the consumer is vital for consumer satisfaction and will help to ensure demand and therefore profitability within the beef industry. In Australia, this is being tackled with Meat Standards Australia (MSA), which uses carcass traits and processing factors to deliver an individual eating quality guarantee to the consumer for 135 different 'cut by cooking methods' from each carcass. The carcass traits used in the MSA model, such as ossification score, carcass weight and marbling explain the majority of the differences between breeds and sexes. Therefore, it was expected that the model would predict with eating quality of bulls and dairy breeds with good accuracy. In total, 8128 muscle samples from 482 carcasses from France, Poland, Ireland and Northern Ireland were MSA graded at slaughter then evaluated for tenderness, juiciness, flavour liking and overall liking by untrained consumers, according to MSA protocols. The scores were weighted (0.3, 0.1, 0.3, 0.3) and combined to form a global eating quality (meat quality (MQ4)) score. The carcasses were grouped into one of the three breed categories: beef breeds, dairy breeds and crosses. The difference between the actual and the MSA-predicted MQ4 scores were analysed using a linear mixed effects model including fixed effects for carcass hang method, cook type, muscle type, sex, country, breed category and postmortem ageing period, and random terms for animal identification, consumer country and kill group. Bulls had lower MQ4 scores than steers and females and were predicted less accurately by the MSA model. Beef breeds had lower eating quality scores than dairy breeds and crosses for five out of the 16 muscles tested. Beef breeds were also over predicted in comparison with the cross and dairy breeds for six out of the 16 muscles tested. Therefore, even after accounting for differences in carcass traits, bulls still differ in eating quality when compared with females and steers. Breed also influenced eating quality beyond differences in carcass traits. However, in this case, it was only for certain muscles. This should be taken into account when estimating the eating quality of meat. In addition, the coefficients used by the Australian MSA model for some muscles, marbling score and ultimate pH do not exactly reflect the influence of these factors on eating quality in this data set, and if this system was to be applied to Europe then the coefficients for these muscles and covariates would need further investigation.

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Beef quality traits of heifer in comparison with steer, bull and cow at various feeding environments

Cited by 80 publications

References 84 publications

Framework for life cycle assessment of livestock production systems to account for the nutritional quality of final products

Framework for life cycle assessment of livestock production systems to account for the nutritional quality of final products

A whole genome association study to detect additive and dominant single nucleotide polymorphisms for growth and carcass traits in Korean native cattle, Hanwoo

The variation in the eating quality of beef from different sexes and breed classes cannot be completely explained by carcass measurements

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