Academic literature on the topic 'BREEDPLAN'

Relationships between BREEDPLAN estimated breeding values (EBVs) for 600-day weight, maternal effect on calf weaning weight (Milk), fat depth at P8 site (Rump), 12/13th rib fat depth (Rib), eye muscle area (EMA), and intramuscular fat (IMF) with body composition measures in first- and second-parity Angus and Hereford cows were investigated. More than 4000 Angus and 1000 Hereford cows were measured for weight, height, ultrasound P8 fat depth (P8), 12/13th rib fat depth (RIB), loin EMA and IMF (%) at pre-calving and weaning. The body composition measurements were then regressed against mid-parent BREEDPLAN EBVs. Increased 600-day weight EBV was associated with increased weight and height but decreased P8 and rib fat depths and EMA when considered on a weight-constant basis. BREEDPLAN EBVs for Rump, Rib, EMA and IMF were closely related to the equivalent ultrasound measure in Angus and Hereford cows at pre-calving and weaning in the first two parities. These results indicate that current BREEDPLAN carcass EBVs are associated with cow body composition, so if producers want to change the body composition of their cows, they can do so using existing BREEDPLAN carcass EBVs, and there appears no requirement for additional EBVs to describe cow body-composition traits for subcutaneous fat, EMA and IMF.

The present paper quantifies the variation in selection direction and genetic merit for the 10 Angus seedstock herds that contributed the majority of the data to the industry herd component of the Beef CRC Maternal Productivity Project. Differences in multi-trait selection direction for 17 BREEDPLAN estimated breeding values (EBVs) ranged between 16 and 63 degrees. Important differences among herds for selection direction for individual EBVs were identified. Specifically, some herds had been selecting to increase rib-fat and rump-fat EBV, while others were decreasing them. On the basis of a principal component analysis, 78% of the between herd difference in genetic merit as assessed by 17 EBVs was accounted for by two principal components. For 2000-born calves, the first principal component accounted for 50% of the genetic variation between herds and was most closely associated with days to calving EBV. Of the genetic merit for 2009-born calves, the first principal component accounted for 49% of the between herd variation and had the strongest weightings with BREEDPLAN rib-fat and rump-fat EBVs. The second principal component accounted for 29% of the variation and was most strongly related with BREEDPLAN EBVs for traits gestation length, milk and eye muscle area and 200-, 400- and 600-day weight. The variation at 2009 is consistent with outcomes from qualitative research that hypothesised that the main differences in genetic merit among herds are associated with rib-fat and rump-fat EBVs, but there were also differences in selection emphasis for weight traits. Despite differences in genetic merit among herds being generally small, they will manifest themselves in different productivity outcomes depending on the management system. Seedstock breeders and bull buyers should be aware of this and target their animal selection accordingly.

Genetic evaluation for beef cattle in Australia has been performed using an animal model with best linear unbiased prediction since 1984. The evaluation procedures have evolved from simple to more complex models and from few to a large number of traits, including traits for reproduction, growth and carcass characteristics. This paper describes in detail the current beef cattle genetic evaluation system ‘BREEDPLAN’ used for the Australian beef cattle industry, the traits analysed and underlying models, and presents a short overview of the challenges and planned developments of coming years.

Genetic parameters and adjustment factors for birth, weaning, yearling and final weight were estimated for the New Zealand Angus population, fitting an animal model including maternal genetic and permanent environmental effects as additional random effects. Overall, pooled covariance matrices agreed well with those for Australian Angus, though heritability estimates for birth weight were somewhat lower than in Australian Angus. BREEDPLAN estimates of breeding values and their accuracies were obtained for each population separately. Correlations between estimates for sires with accurate proofs in both countries agreed with their expectations, giving no indication of a genotype x environment interaction. A joint genetic evaluation using adjustment factors specific to each country but the same covariance matrices is recommended.

Heritabilities and genetic correlations for cow weight and body condition score were estimated from field data for 3 beef breeds in Australia. In all, 8177 cows of mixed ages were weighed and scored for body condition at calf weaning time in seedstock herds as part of a large research project. The average weaning age was 212, 221, and 218 days for Angus, Hereford, and Poll Hereford, respectively. Cow weights and condition scores were analysed separately for each breed and estimates of genetic parameters were obtained by Restricted Maximum Likelihood (REML). Cow weight and condition score were moderately heritable: h2 = 0.43 and 0.21 for Angus, 0.39 and 0.14 for Hereford, and 0.48 and 0.17 for Poll Hereford. The genetic correlation between CW and CS was 0.49, 0.65, and 0.58 for Angus, Hereford, and Poll Hereford, respectively. There is potential for providing a genetic evaluation for cow weight using field data in Australian beef cattle. Its modelling for inclusion in a multiple trait genetic evaluation system such as BREEDPLAN is discussed.

Breeding herd performance and husbandry were surveyed on 375 northern Australian beef properties in 8 regions during 1996 and 1997. Mean branding rates ranged from 62.6% in the Northern Territory to 77.1% in the Maranoa South West regions of Queensland with considerable variation within regional herds. The proportion of herds using controlled mating was highest in the Central Coastal, Central Highlands and Maranoa South West. Mean mating period across all regions varied from 5.6 to 11.8 months. Calving was seasonal with peak activity in the August–December period. Calving commenced earlier in the south (August) than it did in northern regions (September–November). Rainfall influenced the timing of commencement of calving and peak calving activity. The use of pregnancy testing was widespread but selective and often not all females were pregnancy tested. About 97% of properties used weaning strategies with a peak in calf weaning in April–July, and a minor peak in September–October. Although mean weaner ages were similar across regions (5.9–6.9 months), mean weaner liveweight varied markedly with weaners in the more northern regions being lightest (<190 kg) while those in southern regions tended to be >200 kg. Culling criteria for cows and heifers focused on temperament, conformation and reproductive failure; age was also important for cows with a common culling age of 10 years. Bulls were more commonly culled at 7–8 years of age. In addition to age, bulls were culled for physical defects, reproductive problems, temperament and poor quality/performing calves. Four to 5 criteria were commonly used to select bulls. Structural soundness and temperament ranked highest followed by conformation, weight for age, Breedplan and colour. Producers using Breedplan tended to use structural soundness and temperament also as selection criteria. The results suggest that producers associated increasing turn-off weight or decreasing turn-off age more with pasture improvement than with bulls of higher genetic merit for growth. Supplementation of the breeding herd increased in the last half of the calendar year. Supplements containing molasses, urea, phosphate source, salt, and sulphate of ammonia were the most commonly supplied supplementary nutrients. Vaccination for botulism was quite common (>30% of regional survey groups) in all regions except Central Coastal and Maranoa South West regions of Queensland. Comparisons with previous surveys show that there have been marked improvements in breeding herd performance and management over an extended period. The results are discussed in relation to scientific developments over the last 2 decades and future development of the northern Australian beef industry.

In its first 7-year term, the Cooperative Research Centre (CRC) for the Cattle and Beef Industry (Meat Quality) identified the genetic and non-genetic factors that impacted on beef eating quality. Following this, the CRC for Cattle and Beef Quality was established in 1999 to identify the consequences of improving beef eating quality and feed efficiency by genetic and non-genetic means on traits other than carcass and beef quality. The new CRC also had the responsibility to incorporate results from the first Beef CRC in national schemes such as BREEDPLAN (Australia’s beef genetic evaluation scheme) and Meat Standards Australia (Australia’s unique meat grading scheme that guarantees the eating quality of beef). This paper describes the integrated research programs and their results involving molecular and quantitative genetics, meat science, growth and nutrition and industry economics in the Beef CRC’s second phase (1999–2006) and the rationale for the individual genetics programs established. It summarises the planned scientific and beef industry outcomes from each of these programs and also describes the development and/or refinement by CRC scientists of novel technologies targeting increased genetic gains through enhanced measurement and recording in beef industry herds, thereby ensuring industry use of CRC results.

The temperament of cattle is believed to affect the profitability of the herd through impacting production costs, meat quality, reproduction, maternal behaviour and the welfare of the animals and their handlers. As part of the national beef cattle genetic evaluation in Australia by BREEDPLAN, 50 935 Angus and 50 930 Limousin calves were scored by seedstock producers for temperament using docility score. Docility score is a subjective score of the animal’s response to being restrained and isolated within a crush, at weaning, and is scored on a scale from 1 to 5 with 1 representing the quiet and 5 the extremely nervous or anxious calves. Genetic parameters for docility score were estimated using a threshold animal model with four thresholds (five categories) from a Bayesian analysis carried out using Gibbs sampling in THRGIBBS1F90 with post-Gibbs analysis in POSTGIBBSF90. The heritability of docility score on the observed scale was 0.21 and 0.39 in Angus and Limousin, respectively. Since the release of the docility breeding value to the Australian Limousin population there has been a favourable trend within the national herd towards more docile cattle. Weak but favourable genetic correlations between docility score and the production traits indicates that docility score is largely independent of these traits and that selection to improve temperament can occur without having an adverse effect on growth, fat, muscle and reproduction.

In the last 10 years, there have been 3 major research and development projects in Australia on the efficiency of feed utilisation by beef cattle. The primary objective of these projects has been to examine individual animal variation in feed efficiency and its exploitation for genetic improvement in beef cattle. The results of these projects indicate that genetic variation in feed efficiency exists in Australian beef herds, that feed efficiency is moderately heritable and that the potential exists to reduce the cost of beef production through selection for efficient cattle. These results have been further developed for industry application through the generation of BREEDPLAN estimated breeding values for net (or residual) feed intake (a feed efficiency trait) for Angus and Hereford–Polled Hereford breeds. Although economic analyses have indicated substantial benefit from selection for feed efficiency, the high initial cost of identifying animals which are superior for feed efficiency is a barrier to rapid adoption of the technology. Developing cost-effective methods of implementing the feed efficiency technology is thus an on-going research activity. Challenges for the future include: the development and use of more sophisticated statistical analyses procedures (such as random regression) for feed intake and efficiency evaluation; development of accurate methods of assessing individual animal feed intake at pasture; the adoption of a whole-production system approach to feed utilisation; and better integration of the disciplines of genetics and nutrition. The outcomes from research in the efficiency of feed utilisation in beef cattle have wider applications, not only in other livestock species, but also in human energetics, such as the control of obesity.

Dissertação de Mestrado Integrado em Medicina Veterinária
RESUMO - A seleção genética é uma ferramenta fundamental na otimização da eficiência biológica e económica numa exploração de bovinos reprodutores, e desta forma, obter descendência com melhores performances produtivas e reprodutivas. A raça Aberdeen Angus tem vindo a apresentar uma crescente importância em Portugal, representando, atualmente, a segunda raça exótica com maior expressão no país. Com este trabalho pretendeu-se analisar os efeitos e evolução da seleção de algumas características de performance, dos animais nascidos na exploração AgriAngus. Para este efeito, utilizaram-se as estimativas de mérito genético calculadas pelo Breedplan para os animais da exploração e, por outro lado, realizou-se uma análise intra-exploração calculando se os parâmetros genéticos e a tendência genética ao longo do tempo, apenas para as características de peso ao nascimento, aos 200 dias, aos 400 dias e para o perímetro escrotal. A análise intra-exploração foi efetuada através do BLUP – Modelo Animal. Foram analisados dados de 481 animais inscritos na plataforma do Breedplan e, para a análise intra-exploração dados fenotípicos de 665 animais, compondo uma matriz de parentesco de 1686 animais. Os parâmetros genéticos estimados encontram-se, no geral, de acordo com o reportado na literatura citada. As tendências genéticas foram mais otimistas na estimativa realizada pelo Breedplan, porém, na maioria das características analisadas verificou-se uma melhoria nos valores do mérito genético dos animais, confirmando a evolução positiva, consequência do melhoramento genético através da seleção, em prática na exploração.
ABSTRACT - Genetic selection is a fundamental tool in the optimization of biological and economic efficiency in a beef breeding farm and, in this way, obtaining offspring with better productive and reproductive performances. The Aberdeen-Angus breed has been showing increasing importance in Portugal, currently representing the second exotic breed with greater expression in the country. With this work it was intended to analyse the effects and evolution of the selection of some performance traits, of the animals born in the AgriAngus farm. For this purpose, breeding value estimates estimated by Breedplan were used and, on the other hand, an in-farm analysis was carried out, calculating the genetic parameters and the genetic trend over the years, considering, exclusively, for birth weight, 200 days weight, 400 days weight and for scrotal perimeter. The in-farm analysis was carried out using the BLUP - Animal Model. Data, 481 animals registered on the Breedplan platform were analysed and, for the in-farm analysis, a dataset of phenotypic trait records from 665 animals. The complete pedigree file included 1686 animals. The estimated genetic parameters are, in general, in accordance with what was reported in the cited literature. The genetic trends were more optimistic in the estimate made by Breedplan, however, in all the analysed characteristics there was an improvement in the values of the animal’s breeding values, confirming the positive evolution, a consequence of the genetic improvement through selection, carried out in this herd.
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In terms of numbers and volume of meat produced, the Chinese beef industry is one of the largest in the world. Development of the industry has only occurred within the last thirty years, and despite extensive cross-breeding programs with imported breeds, performance of Chinese cattle is low, and the industry is still subject to traditional farming methods. This study looks at the Australian-developed genetic evaluation system BREEDPLAN, which is regarded worldwide as one of the best systems for assisting with selection of beef cattle for increased performance by evaluating genetics and identifying superior animals, and asks if BREEDPLAN can be successfully applied to the Chinese beef industry. Issues discussed include the complementarity of BREEDPLAN to existing Chinese breeding programs and the benefits of BREEDPLAN if introduced, as well as opportunities for Australians to provide consultancy services to facilitate introduction. The marketing of Australian genetic material in China, and cross-cultural marketing issues are also considered. Field research was conducted in China using itinerant interviews and observational research, together with unstructured, informal interviews and discussions with Australian beef industry experts. It is found that breed improvement programs in China are controlled by the Ministry of Agriculture, and management practises within the government-run herds make them eminently suitable for the application of BREEDPLAN. The objective measurements of BREEDPLAN would provide observable genetic gain, resulting in increased industry productivity and profitability. In addition, it is found that a need exists within the Chinese beef industry for consultants not only with expertise and knowledge about BREEDPLAN, but also with an understanding of Chinese language and culture, which would be an advantage for dealing with cross-cultural difficulties. Market opportunities for Australian genetic material are considerable, but not unlimited, and further research is required to assess the size of the market. It is recommended that immediate steps be taken to introduce BREEDPLAN to the Chinese beef industry.