A maternal productive index for beef cows

1972 ◽  
Vol 12 (59) ◽  
pp. 573 ◽  
Author(s):  
RG Beilharz

To evaluate beef cows on their reproductive performance a maternal productive index (M.P.I.) was developed as an alternative to their evaluation in terms of simpler traits, or in terms of a conventional selection index based on simple traits. Data on M.P.I. were obtained from Hereford cows on three grazing treatments each containing three groups of cows differentiated by last breeding season (i.e. presence and age of calf at foot). The same cows were also scored for coat type on two occasions in late spring and early summer. The magnitude and change of coat score are explained by the hypothesis that nutritional stress delays the cycle of shedding of winter coat and its replacement by a sleek coat. Analysis of the correlations between coat score data and M.P.I. shows that low M.P.I. is also associated with a delay in change of coat type. This suggests that M.P.I. is an indication of adaptation of cows to their environment with poorly adapted animals suffering a greater stress. Because M.P.I. is a direct measure of a very important goal of beef cattle breeding it should be used widely in selection (or culling) of beef cows. Whether genetic progress will be faster than through the use of simpler traits, may be judged once genetic parameters have been estimated for M.P.I.

Animals ◽  
2020 ◽  
Vol 10 (5) ◽  
pp. 779 ◽  
Author(s):  
Hannah E. Willson ◽  
Hinayah Rojas de Oliveira ◽  
Allan P. Schinckel ◽  
Daniela Grossi ◽  
Luiz F. Brito

More recently, swine breeding programs have aimed to include pork quality and novel carcass (e.g., specific primal cuts such as the Boston butt or belly that are not commonly used in selection indexes) and belly traits together with growth, feed efficiency and carcass leanness in the selection indexes of terminal-sire lines, in order to efficiently produce pork with improved quality at a low cost to consumers. In this context, the success of genetic selection for such traits relies on accurate estimates of heritabilities and genetic correlations between traits. The objective of this study was to estimate genetic parameters for 39 traits in Duroc pigs (three growth, eight conventional carcass (commonly measured production traits; e.g., backfat depth), 10 pork quality and 18 novel carcass traits). Phenotypic measurements were collected on 2583 purebred Duroc gilts, and the variance components were estimated using both univariate and bivariate models and REML procedures. Moderate to high heritability estimates were found for most traits, while genetic correlations tended to be low to moderate overall. Moderate to high genetic correlations were found between growth, primal-cuts and novel carcass traits, while low to moderate correlations were found between pork quality and growth and carcass traits. Some genetic antagonisms were observed, but they are of low to moderate magnitude. This indicates that genetic progress can be achieved for all traits when using an adequate selection index.


2012 ◽  
Vol 52 (3) ◽  
pp. 100 ◽  
Author(s):  
D. J. Johnston ◽  
B. Tier ◽  
H.-U. Graser

Opportunities exist in beef cattle breeding to significantly increase the rates of genetic gain by increasing the accuracy of selection at earlier ages. Currently, selection of young beef bulls incorporates several economically important traits but estimated breeding values for these traits have a large range in accuracies. While there is potential to increase accuracy through increased levels of performance recording, several traits cannot be recorded on the young bull. Increasing the accuracy of these traits is where genomic selection can offer substantial improvements in current rates of genetic gain for beef. The immediate challenge for beef is to increase the genetic variation explained by the genomic predictions for those traits of high economic value that have low accuracies at the time of selection. Currently, the accuracies of genomic predictions are low in beef, compared with those in dairy cattle. This is likely to be due to the relatively low number of animals with genotypes and phenotypes that have been used in developing genomic prediction equations. Improving the accuracy of genomic predictions will require the collection of genotypes and phenotypes on many more animals, with even greater numbers needed for lowly heritable traits, such as female reproduction and other fitness traits. Further challenges exist in beef to have genomic predictions for the large number of important breeds and also for multi-breed populations. Results suggest that single-nucleotide polymorphism (SNP) chips that are denser than 50 000 SNPs in the current use will be required to achieve this goal. For genomic selection to contribute to genetic progress, the information needs to be correctly combined with traditional pedigree and performance data. Several methods have emerged for combining the two sources of data into current genetic evaluation systems; however, challenges exist for the beef industry to implement these effectively. Changes will also be needed to the structure of the breeding sector to allow optimal use of genomic information for the benefit of the industry. Genomic information will need to be cost effective and a major driver of this will be increasing the accuracy of the predictions, which requires the collection of much more phenotypic data than are currently available.


2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Agung Prabowo ◽  
Subiharta Subiharta ◽  
Pita Sudrajad ◽  
Iswanto Iswanto ◽  
Sularno Sularno ◽  
...  

This study aims to determine the effect of supplementary feeding on the reproductive performance of beef cattle and calf birth weight. Additional feed is given to cows who are pregnant (8-9 months) and after giving birth for 3 months. Additional feed provided is a complete feed prepared from local feed ingredients. The objectives of this supplementary feeding are: maintaining the condition of the mother's body, maintaining normal embryo growth, and accelerating postpartum estrus, as has been done in Megal Village, Pamotan District, Rembang Regency. Provision of additional feed to old pregnant beef cattle (8-9 months) and after giving birth for 3 months in Megal Village, Pamotan District, Rembang Regency. The conclusion of this study is that the provision of additional feed 5 kg / head / day to old pregnant beef cattle and after giving birth for 3 months can reduce the weight loss of beef cattle broods when the availability of feed is limited, increase birth weight of calves and accelerate postpartum estrus. estrus for the first time after childbirth). Provision of additional feed to late pregnant beef cattle and after giving birth is highly recommended, especially in areas where the availability of feed fluctuates.Key words: supplementary feed, reproduction, beef cattle


ZOOTEC ◽  
2020 ◽  
Vol 40 (2) ◽  
pp. 763
Author(s):  
Brenda Boda ◽  
A. Lomboan ◽  
J.F. Paath ◽  
M. J. Hendrik

REPRODUCTIVE PERFORMANCE OF LOCAL BEEF COWS IN BOLAANG DISTRICT OF BOLAANG MONGONDOW REGENCY. This study aims to determine the reproductive performance of local beef cattle in Bolaang District, BolaangMongondow Regency. This study used local beef cattle owned by breeders who were taken as samples in several villages in Bolaang District, Bolaang Mongondow Regency. This study used a survey method to obtain primary and secondary data collection. Data analysis regarding the studied variables used descriptive analysis referring to the measurement of each variable. The results showed that service per conception was 1.38, conception rate was 70%, pregnancy period was 276.47 days, animal age of first calving was 32.022 months, and calving interval was 375.26 days. Based on these results of study, it can be concluded that the reproductive performance of local beef cattle in Bolaang district, Bolaang Mongondow regency was categorized into normal reproductive performance of local beef cattle. Key word: Reproduction, Local beef cow, Bolaang district,  


Author(s):  
Е.V. Arlimova ◽  
◽  
Е.А. Smotrova ◽  

Actuality of research data is in contribution rate of growth of genetic progress according to main economic traits in Ayshire populations at the cost of conducting correlative- regression analysis and study of influence factors, as a preparatory phase in development of selection index for selection of animal units into selected groups. Study sample of cow heifers (n=12821), which are offsprings of 232 servicing bulls from 13 farms, is modified to normal distribution with the help of R-studio program (on control of events, emergence, removal of empty and impossible values). Calculation and analysis of selective- genetic parameters of economic traits are conducted, and also impact assessment of genetic and paratypic factors on realization of economic traits of local cattle population of Ayshire breed in Leningrad region for the period from 2014 to 2018. Animal milk production was 6848 kg with fat mass percentage and protein 4,07 and 3,29 %. We established lowering of MOP duration and reproductivity coefficient and fertility index (RC and FI). Multiregressional model was formed including into formula percentage of fat, protein, live weight and service period. It was established that with fat increase for 1 % milk yield will decrease by 15,3 kg, but with increase of protein on the same value- for 107,8 kg of milk. The most accurate influence on studied economic traits had father factor (14,97 – 41,58% ***). Consequently, with the aim to achieve positive result in population development of Ayshire cattle it is necessary to use bulls, having high genetic potential of milk yield and reproductive qualities.


2021 ◽  
Vol 61 ◽  
pp. 107-118
Author(s):  
A. Ye. Pochukalin ◽  
S. V. Pryima

The issue of registration of breeding animals of different breeds is dealt with by organizations that keep state books of breeding animals. In Ukraine, the functions of keeping state books of breeding animals in cattle breeding, pig breeding, sheep breeding and horse breeding belong to the powers of the minister, which ensures the formation of state policy in the field of animal husbandry. The issue of animal breeding books is relevant because it is an ongoing process that requires a set of measures aimed at registration, maintenance and promotion of domestic breeding livestock. The purpose of research. To monitor the state books of breeding animals (SBBA) in dairy and meat cattle breeding, sheep breeding and pig breeding for the period 2002–2010. Also, establish the number of potential females that could be entered in the stud books. Materials and methods of research. The material for the study was data on the presence of breeding cows of dairy and meat production, sows and ewes of breeds registered in the State Register of Breeding Subjects in Animal Husbandry (until 2009, the State Breeding Register, SBR) during 2002–2019. The results of research. According to the SBR, 15 dairy breeds of cattle have been registered in Ukraine. During the study period, 15 volumes of SBBA of four breeds of dairy cattle were published in Ukraine, which included information on 12331 breeding animals, including 11477 cows. The largest number of recorded breeding animals of the Ukrainian Black-and-White dairy cattle, of which 144 breeding bulls and 4989 cows, are concentrated in six volumes. In second place is the Ukrainian Red-and-White dairy cattle, namely 4554 animals. Then there is the Simmental with 871 animals, of which 809 cows, and the red steppe 1773 heads, including 1609 cows. It is established that 48.7% of breeding animals were born in the period from 1990 to 1999. A small proportion, namely 0.3%, are animals born before 1979, and only 24% after 2000. Younger animals are recorded in the breeding books of Ukrainian Black-and-White dairy cattle and Ukrainian Red-and-White dairy cattle, and older – in the books of the red steppe. Of the 14 meat breeds used in Ukraine, only 5 have breeding animals that are registered with the SBBA. The total number of meat-producing animals recorded in the SBBA is 5586, including 4649 cows. Of the twelve breeds of pigs bred in Ukraine, only seven breeds, namely the Ukrainian white steppe (1451 heads) and Ukrainian spotted steppe (974), Myrhorod breed (123), Great Black (181), Landrace (727), Poltava meat breed (290) and Ukrainian meat breed (300) during the study period were published state pedigree books. Half (50.7%) of all recorded breeding pigs have a year of birth before 2000. Young (born in 2000) animals are recorded in the breeding books of the Landrace breed and the Ukrainian white steppe, Ukrainian meat breed and Poltava meat breed, where their share varies from 64 to 98%. During the study period, 9 volumes of state books of breeding sheep were published. In addition to Tsigai (884 goals), Askanian Karakul (700), fine-wool (1168), meat-wool with crossbred wool (1917) and Sokol (443), in 2003, 2004 and 2009 3 volumes of SBBA sheep of the Prekos breed were published. The calculation of potential females that could be recorded in the state breeding books revealed the presence of 1251102 breeding animals, including 100796 ewes, 70678 sows, 71341 beef cows and 1008287 dairy cows. The largest number of potential females of different breeds in cattle breeding, sheep breeding and pig breeding in the regions of Ukraine showed a certain pattern, namely the centers for dairy cattle breeding – Vinnytsia (83395 heads), Kyiv (111650), Khmelnytsky (64667), Cherkasy (68035) regions, beef cattle breeding – Volyn (13.466 head), Chernihiv (10.907 head), sheep breeding – Kherson (13.837), Odessa (19078) and pig breeding – Dnipropetrovsk (6452), Poltava (4621). The main goal for calculating potential females was to try to determine the size of the breed in dairy and beef cattle, sheep breeding and pigs breeding. Because the more animals included in the breeding model, the better the results of genetic improvement. In addition, it is possible to address the dynamics of the development of breeding traits, identify successful methods of selection and selection, assessment of population and genetic parameters over time and the creation of breeding programs with breeds of farm animals. Conclusion. State books of breeding animals are an important element of selection. Animal information databases help to estimate the populations of domestic and transboundary breeds in general by a set of characteristics, to determine the population-genetic parameters over time and to develop programs for the improvement of farm animals. Studies have identified a significant number (1251102 heads) of breeding cows, ewes and sows, which at one time could be recorded in the breeding books of the respective breeds.


2012 ◽  
Vol 52 (3) ◽  
pp. 172 ◽  
Author(s):  
B. W. Wickham ◽  
P. R. Amer ◽  
D. P. Berry ◽  
M. Burke ◽  
S. Coughlan ◽  
...  

Genomics is a technology for increasing the accuracy with which the genetic merit of young potential breeding animals can be determined. It enables earlier selection decisions, thus reducing generation intervals and gives rise to more rapid annual rates of genetic gain. Recently, the cost of genomics has reduced to the point where it enables breeding-program costs to be reduced substantially. Ireland has been a rapid adopter of genomics technology in its dairy-cattle breeding program, with 40% of dairy-cow artificial inseminations in 2010 being from bulls evaluated using genomic information. This rapid adoption has been facilitated by a comprehensive database of phenotypes and genotypes, strong public funding support for applied genomics research, an international network of collaborators, a short path between research and implementation, an overall selection index which farmers use in making breeding decisions, and a motivated and informed breeding industry. The shorter generation interval possible with genomic selection strategies also allows exploitation of the already accelerating rate of genetic progress in Ireland, because elite young dairy bulls are considerably superior to the small numbers of bulls that entered progeny test 6 years ago. In addition, genomics is having a dramatic impact on the artificial-insemination industry by substantially reducing the cost of entry, the cost of operation, and shifting the focus of breeding from bulls to cows. We believe that the current industry structures must evolve substantially if Irish cattle farmers are to realise the full benefits of genomics and be protected from related risks. Our model for future dairy breeding envisages a small number of ‘next generation research herds’, 1000 ‘bull breeder herds’ and an artificial-insemination sector using 30 new genomically selected bulls per year to breed the bulk of replacements in commercial milk-producing herds. Accurate imputation from a low-density to a higher-density chip is a key element of our strategy to enable dairy farmers to afford access to genomics. This model is capable of delivering high rates of genetic gain, realising cost savings, and protecting against the risks of increased inbreeding and suboptimal breeding goals. Our strategy for exploiting genomic selection for beef breeding is currently focussed on genotyping, using a high-density chip, a training population of greater than 2000 progeny-tested bulls representing all the main beef breeds in Ireland. We recognise the need for a larger training population and are seeking collaboration with organisations in other countries and populations.


1991 ◽  
Vol 53 (2) ◽  
pp. 157-164 ◽  
Author(s):  
S. C. Bishop ◽  
J. A. Woolliams

AbstractIn mammals ‘maleness’, i.e. the presence of testes, is thought to be controlled by a single gene on the Y chromosome. Recently, a candidate gene termed the SRY (sex-determining region Y) gene has been located. If the SRY gene is the gene causing maleness then a transgenic male with the SRY gene on an autosome would produce a greater proportion of male offspring than a normal male. This would be advantageous in situations where male offspring are more valuable than females. Such transgenic males have a reduced probability of propagating their genotype and an effort has to be made to avoid their extinction. This is at the cost of genetic progress which must be made to enable the transgenics to remain competitive with normal males.In a simulated beef cattle breeding scheme if half of the annual matings were made to transgenics then after 15 years of selection the transgenic males fell the equivalent of 2·6 years of selection behind males in a traditional herd. If all matings were made to transgenics they fell over 9 years behind. Selection for lean food conversion ratio was considered as an example. After 15 years of selection the gain in biological efficiency from more male offspring outweighed the loss from reduced genetic progress only when more than 0·5 of the bulls used in the breeding scheme were normal males. In practice, the difficulty of maintaining a small population of transgenic males along with other costs not included in the calculations suggest that breeding schemes in beef cattle with an SRY transgene would not be practicable without further technology.


2020 ◽  
Vol 18 (9) ◽  
pp. 1738-1749
Author(s):  
N.L. Titov ◽  
M.M. Nizamutdinov ◽  
G.S. Klychova

Subject. This article explores the theoretical basis of the economic efficiency of production and classifies the performance figures of beef cattle husbandry. Objectives. The article aims to define a system of indicators of beef cattle husbandry economic efficiency. Methods. For the study, we used a comparative analysis. Conclusions and Relevance. To assess the economic efficiency of agriculture production, it is necessary to use a set of indicators by beef cattle breeding sub-sector. The system of economic performance indicators of production needs to be transformed into a summarizing indicator. The results of the study can be applied in the theory and practice of determining the economic efficiency of the beef cattle industry.


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