Genetic Differences between Bull-Breeding Herds

1955 ◽  
Vol 1955 ◽  
pp. 94-101 ◽  
Author(s):  
Alan Robertson ◽  
A. T. G. McArthur
Keyword(s):  
Great Britain ◽  
Artificial Insemination ◽  
Genetic Difference ◽  
Genetic Differences ◽  
Breeding Value ◽  
Production Data ◽  
Dominant Group ◽  
Breed Type ◽  
Points Of View ◽  
Breed Improvement

In the analysis of the causes of variation between cows of a given breed in milk production, differences between herds pose some difficult problems. The nature of this variation is of importance from several points of view in the discussion of breed improvement. The situation is complicated by the fact that the herds of any breed type do not form a uniform group but can be classified roughly into a sort of ‘social structure’ (Robertson and Asker, 1951). The discussion of variation between all herds of a given breed type can then be broken down into the variation between strata and that between herds in the same stratum. From the analysis of production data from herds using artificial insemination (Robertson and Rendel, 1954; Korkman, 1953) there is evidence that the genetic component is a small proportion of the total variance in these herds; and also that in Great Britain the genetic difference in yield between the dominant group of herds (which provide many of the bulls used in A.I.) and the herds using A.I. is small. This is in agreement with studies on breed structure. In this paper we shall discuss the genetic differences between members of the small group of important herds which dominate each breed. These usually supply a high proportion of the bulls used. If we have good estimates of the breeding values of such bulls from the production records of their progeny, we can then examine the different breeding herds according to the breeding value of the bulls bred in them. Evidence of this type has been presented for Jersey bulls in New Zealand (Castle, 1952) but without statistical analysis of the results, although inspection suggests that there are definite differences between studs.

The progeny testing of dairy bulls at different levels of production

1956 ◽  
Vol 47 (4) ◽  
pp. 367-375 ◽  
Author(s):  
I. L. Mason ◽  
Alan Robertson
Keyword(s):  
Artificial Insemination ◽  
Coefficient Of Variation ◽  
Genetic Variance ◽  
Comparison Method ◽  
Breeding Value ◽  
Progeny Testing ◽  
Average Yield ◽  
Average Production ◽  
Dairy Bulls ◽  
Different Levels

1. An analysis has been made of milk records from 13,000 cows bred by artificial insemination in Denmark.2. The herds were divided into three equal groups on the basis of their average production. The variance of yield within herds increased as the average yield increased, but the coefficient of variation declined slightly. The genetic variance was more than five times as large in the high-yielding herds than in the low, and correspondingly the heritabilities in low, medium and high herds were 0·05, 0·15 and 0·22 respectively. These were estimated from the variation observed between progeny groups of the same 152 bulls at each production level.3. No evidence was obtained of any sire-herd interaction for yield, either within or between management levels. The true ranking of bulls for breeding value was apparently the same at all levels.4. The heritability of fat content in the three groups was 0·27, 0·47 and 0·49 respectively, and no evidence of sire-herd interaction was found.5. The contemporary comparison method of assessing A.I. bulls for yield was found to have the accuracy expected in theory.6. These results are discussed in relation to those of other workers with which there are some discrepancies. On our results, a policy of choosing bulls on the basis of their daughters' performance in high-yielding herds should be the most satisfactory way of progeny-testing bulls used in artificial insemination.

scholarly journals EFFICIENCY OF INTRAUTERINE INSEMINATION IN BREEDING SOWS

2017 ◽  
Vol 53 ◽  
pp. 254-259
Author(s):  
V. O. Melnik ◽  
O. O. Kravchenko ◽  
О. S. Kohut
Keyword(s):  
Artificial Insemination ◽  
Intrauterine Insemination ◽  
Live Weight ◽  
Reproductive Technologies ◽  
Breeding Value ◽  
Large White ◽  
Large White Breed ◽  
Significant Difference ◽  
White Breed ◽  
Breeding Farms

Improving of fertility indicators and reproductive qualities of sows during artificial insemination in farms of different specializations is very topical issue. The introduction of artificial insemination of sows on breeding farms by the spermdoses of optimum volume, by the frozen-thawed and sex sperm requires the introduction of innovative reproductive technologies. The use of economical methods of artificial insemination of sows using a minimum number of sperm in a small volume of spermdose in order to achieve high rates of fertility and prolificacy was proven in numerous experiments of the authors. Significantly reduced spermdose may be sufficient if the sperm enters deep enough into the uterus. Vitality of sperm does not depend on the size of spermdose, but the best place for sperm to survive one oviducts where they keep the fertilizing capacity from 9 to 27 hours. So deep intrauterine insemination of sows improves conditions for sperm survival The aim was to study the feasibility and justification for widespread implementation in to production on breeding farms of intrauterine insemination of sows morder to increase their fertilization and prolificacy and  to save the boar sperm with the highest index of breeding values. Experiments were conducted in terms of selection and genetic center of Agrofirm "Mig-Service-Agro" in Mykolaiv region. In the experiment used 65 sows of live weight of 280-320 kg wiht 2-4 farrowing were. Sows in sexual hunting were showed once daily in the morning using a boar-prober. Artificial insemination was performed twice: the first time - in the afternoon and at 14-16 p.m. The second time – in the morning of the next day at 9-10 am. For artificial insemination of sows were ed using experimental spermodes with volume of 40 ml which contained 1.5 billion of a Active sperm. For the dilution of sperm was used Durasperm - KRUUSE (Denmark) the period of sperm perpetuation is 5-7 days. To enter the were semen used catheters Magaplus S, (Spain) for intrauterine insemination of sows. Analysis shows that the period from weaning to insemination has significant difference comparing sows of large White breed with Landrace breed (p <0.001), with genotype sows F1 (p <0.01) and sows of the Duroc breed (p <0.05). For all selected 65 sows duration of suckling period, was estimated which averaged 32.2 days and the average time from weaning of pigs to their sexual inclination and the first intrauterine insemination 6.8 days that meets the physiological norm. After intrauterine insemination of sows of then 48 farrowed, which wich made for 73.9%. іncluding live 5 emergency farrow  were obtained, representing 10.4% of all amount. Percentage of farrow is considered physiologically normal – 80%, or more of total insemined sows. The very low percentage of farrow 53.3% had of sows F1, and the highest percentage was found by sows of the Duroc breed – 85.7%. Pregnency of sows were received just 17, which made 26.1% and highest percentage – 46.7% was set by sows F1. Analysis of the pregnancy sows shows that on average it is 116.2 days was the longest – 117.1 days was set in Landrace breed sows and the short est 115.5 days in Large White breed, but the difference is not significant. 571 pigs were received, іncluding live 451 head, which is 78.9%. The largest percentage of іncluding live piglets obtained from sows F1 – 82.5%, and the lowest in Landrace breeds – 77.0% and Large White – 77.3%. Exit of all piglets per sow without emergency farrowings is 12.2, іncluding live – 9,8. The highest yield were obtained piglets from sows F1 – 13.1, іncluding live – 10.9, the lowest yield of sows of the Duroc breed – 10.6, іncluding live 9.1, which has significant difference compared with the control (IDPs) and other breeds.  After intrauterine insemination 8 sows showed cyclic deregulation in 20-25 days, ie repeated sexual hunt took place on average 22.3 days. These sows were inseminated by not fractional way, they farrowed and an average litter just 13.1 piglets per sow, іncluding live - 11.3 was obtained. Repeating after intrauterine insemination on 45-48-49 day in the sexual hunt came about three sows for artificial insemination by not fractional method 3 farrowed and was obtained output – 13.3 piglets, іncluding live – 11.7. It should be noted that the best sow Large White breed №12 after intrauterine insemination bore 16 pigs, іncluding live 11, sow of Landrace breed №1556 – 18 pigs, іncluding live 12, Duroc №5888 – 13 pigs, іncluding live 11, sow F1 №167 – 20 pigs, іncluding live 14 pigs. Breeding requires more careful handling with major sows taking into account their breeding value and cost, that’s why we believe that there is no need to risk causing injury genitals with intrauterine insemination if a sufficient number of spermdoses of boars-sires exist.

AN ANALYSIS OF THE CONTEMPORARY PRODUCTION OF ARTIFICIALLY AND NATURALLY SIRED CANADIAN HOLSTEIN–FRIESIAN COWS

1965 ◽  
Vol 45 (3) ◽  
pp. 133-140 ◽  
Author(s):  
A. H. Martin ◽  
J. C. Rennie ◽  
G. H. Bowman
Keyword(s):  
Artificial Insemination ◽  
Breeding Value ◽  
Seasonal Differences ◽  
Holstein Friesian ◽  
Class Average ◽  
The Difference ◽  
Equivalent Yield ◽  
Friesian Cows

A study of first-lactation records, collected under Canadian Record of Performance and involving 12,815 Holstein–Friesian heifers by A.I. (artificial insemination) sires, and 13,543 Holstein–Friesian heifers by non-A.I. sires, within the same herds and season, revealed a superiority in average breeding value of 4.62 ± 0.48 B.C.A. (breed class average) for milk and 4.98 ± 0.50 B.C.A. for butterfat in favor of the A.I. sires. Expressed in terms of mature equivalent yield the superiorities were 248 ± 26 kg (546 ± 57 lb) milk; and 9.8 ± 1.0 kg (21.6 ± 2.2 lb) butterfat. The difference in butterfat test between the two sire groups was not statistically significant.The total volume of data examined consisted of 33,425 records of cows of all ages. Cows mated to A.I. sires were shown to be slightly superior, both in milk and fat production, to cows mated to non-A.I. sires [Formula: see text]. Adjustment procedures for this source of bias are discussed.Important seasonal differences were demonstrated, emphasizing the necessity of comparisons on a within-season basis.

Sire evaluation using animal model versus differentconventional methods in red sindhi cattle

2016 ◽  
Author(s):  
P. K. Mallick ◽  
A. K. Ghosh ◽  
A. S. Rajendiran
Keyword(s):  
Animal Model ◽  
Genetic Gain ◽  
Simplex Method ◽  
Animal Husbandry ◽  
Breeding Value ◽  
Sire Evaluation ◽  
Improvement Programme ◽  
Breed Improvement ◽  
Model Versus ◽  
Selection Of

The effectiveness of sire evaluation is the backbone of any breed improvement programme as much as 61% of genetic gain in dairy cattle results from selection of sires through “bulls to breed cows” and “bulls to breed bulls” path. The application of latest and simplex method of sire evaluation like BLUPF90 in Indian breeds is scanty. The present investigation was planned to evaluate the Red Sindhi sires by this method and to compare the effectiveness of BLUPF90 method with other conventional methods of sire evaluation in Red Sindhi cattle. The records of production and reproduction performances of first lactation traits of 717 Red Sindhi cows, progeny of 58 sires, spread over a period of 40 years (1966-2005) from CCBF, Chiplima, Orissa under the control of Department of Animal Husbandry, Dairying and Fisheries, Ministry of Agriculture, Government of India and CBF, Kalsi, Deheradun, Uttarakhand were analyzed. The present study was single and multi-trait evaluation of breeding values of Red Sindhi sires. The overall least squares population mean for first lactation milk yield (FLMY) was 1536.35±54.87 kg. The average breeding value of sires of single trait from different methods ranged from 1536.35 kg (LSM, DFREML and BLUPF90-Dairy Pack) to 1588.50 kg (simple daughter average) but in multi-trait method the breeding value does not vary with each other. The comparison of different method of sire evaluation based on single trait for FLMY only shows that the DFREML model for single trait should be preferred over the BLUP, LSM and simple daughter average methods for evaluating the sire breeding value. However, if a sire-breeding value is to be computed from multi traits then BLUPF90 model may be preferred over DFREML model.

scholarly journals The genetical analysis of a sex-limited character in Drosophila melanogaster and its bearing on the evolution of secondary sexual characteristics

1939 ◽  
Vol 127 (849) ◽  
pp. 487-510 ◽  
Keyword(s):  
Sexual Difference ◽  
Developmental Process ◽  
Genetic Difference ◽  
Specific Effect ◽  
Colour Pattern ◽  
Genetical Analysis ◽  
Secondary Sexual Characteristics ◽  
Sexual Characteristics ◽  
Points Of View ◽  
Secondary Sexual

Sex-limited characters may be studied from three points of view in so far as the object of enquiry may be to elucidate ( a ) the nature of the genetic difference involved, ( b ) the developmental process which eventually leads to somatic sex differences or to differences of behaviour, and ( c ) the way in which the genetic difference arises and is established as the basis of a secondary sexual difference in the course of evolution. This investigation deals chiefly with the first and third issues stated above. Three different types of genetic difference might be expected to give rise to sex-limited characters, and in fact all three have been found to exist. One occurs when genes whose effects are incompletely dominant and additive are located on the X -chromosome. This is the “dosage” effect described by Muller (1932). A second is the specific effect of F-borne genes illustrated by “bobbed” in Drosophila (Stern 1927). The third is when the sex-limited character depends directly or indirectly upon the genetic difference which is also responsible for the primary distinction between the sexes, or is determined by a gene balance of the same general type. Some of the colour pattern genes in Lebistes are probably of this type (Winge 1927).

scholarly journals Differentiation of lines of Sychevka cattle using marker genes

2020 ◽  
pp. 87-93
Author(s):  
Dmitry Nikolaevich Koltsov ◽  
Mikhail Eliseevich Gontov ◽  
Valentina Ivanovna Dmitrieva
Keyword(s):  
Genetic Differentiation ◽  
Genetic Markers ◽  
Genetic Similarity ◽  
Marker Gene ◽  
Wide Distribution ◽  
Genetic Differences ◽  
Marker Genes ◽  
Present Stage ◽  
Concentration Degree ◽  
Breed Improvement

The results of genetic differentiation of 10 main genealogical groups of sires of the breed of Sychevka cattle of the Smolensk region, using as genetic markers the genes of the B-locus of erythrocyte antigens of blood groups (n = 2949). At the present stage of breed improvement, 56 marker genes of the EAB locus were found in the studied animals, of which 16 are common to all lines and related groups. The most common are: b, G2Y2E'1Q', I1Y2E'3G'G'', I1Y2I', O1I'Q', O2A'2J'2K'O', Q', Y1A'1. Lines and related groups were differentiated by the level of marker gene concentration, degree of homozygosity, and genetic similarity. The coefficient of genetic similarity (r) between different lines ranged from 0.58 to 0.85. The high similarity between animals of individual lines and the wide distribution of identical inherited material marked with the G2Y2E'1Q' allele indicate that there are no genetic differences between them. The lines that originate from sires of Sychevska and Holstein origin do not have significant genetic differences between them (r = 0.9). It is proposed to direct breeding work using genetic markers to increase the genetic differentiation of existing and breeding new lines.

Migration of pedigree Ayrshire cattle in Great Britain

1955 ◽  
Vol 45 (4) ◽  
pp. 476-480 ◽  
Author(s):  
G. Wiener
Keyword(s):  
Great Britain ◽  
Small Proportion ◽  
Genetic Differences ◽  
British Isles ◽  
Next Generation ◽  
Males And Females

Migration of pedigree Ayrshire cattle in the British Isles is estimated for 1927 and 1946 from samples of herd-book registrations. Most migration is from Scotland, particularly Ayrshire, to England, but considerable numbers were also transferred between regions within Scotland or England. A larger proportion of bulls than of cows was moved in this way. Only a small proportion of animals had two parents bred in the same herd as themselves. If the males and females registered from England in 1946 were the sole parents of the next generation, the latter would still have more than half Scottish blood.The amount of movement of Ayrshire cattle shown by these data virtually precludes genetic differences between regions, but not perhaps between herds. Other implications of movement are discussed.

A survey of the carcass characteristics of the main types of British lamb

1977 ◽  
Vol 25 (2) ◽  
pp. 165-179 ◽  
Author(s):  
A. J. Kempster ◽  
A. Cuthbertson
Keyword(s):  
Great Britain ◽  
Classification Scheme ◽  
Subcutaneous Fat ◽  
Carcass Characteristics ◽  
Fat Distribution ◽  
Development Programme ◽  
Fat Percentage ◽  
National Population ◽  
Breed Type

SUMMARYCommercial lamb carcasses were surveyed in 1971/72 as part of the development programme for a national classification scheme for Great Britain. Carcasses of 421 castrated male lambs were evaluated and their left sides dissected. The sample comprised seven groups representing the main breed types in the national population. Within these groups, lambs were selected from three regions on each of three occasions corresponding with the beginning, middle and end of the normal slaughtering season for each group.The overall means (±SD) for side weight and percentage subcutaneous fat in the side were 8·3 ± 1·8 kg and 12·6 ± 3·2 respectively. When adjusted to the overall mean subcutaneous fat percentage (constant % SF), the breed-type side weight means ranged from 6·4 kg (Welsh Mountain) to 10·8 kg (British Longwool). At constant% SF, lambs slaughtered earlier in the season were lighter than those of the same breed type slaughtered later.Significant differences (P<0·05) were recorded between breed-type groups in fat distribution and lean/bone ratio. These were reflected as important differences in percentage lean at constant % SF, group means ranging from 54·5 (lambs by Suffolk rams out of Scottish Halfbred ewes) to 56·7 (lambs by British Longwool rams out of hill ewes).When lambs of the same breed type from different regions were compared at constant % SF and constant side weight, there were few important differences in carcass characteristics.The results are discussed in relation to the classification scheme which has since been introduced by the Meat and Livestock Commission.

scholarly journals P*R*O*P: a web application to perform phylogenetic analysis considering the effect of gaps

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Takuma Nishimaki ◽  
Keiko Sato
Keyword(s):  
Phylogenetic Analysis ◽  
Web Application ◽  
Sequence Data ◽  
Genetic Difference ◽  
Evolutionary Process ◽  
Genetic Differences ◽  
Amino Acid Sequences ◽  
Evolutionary Information ◽  
Evolutionary Models ◽  
Link Type

Abstract Background Phylogenetic analysis strongly depends on evolutionary models. Most evolutionary models for estimating genetic differences and phylogenetic relationships do not treat gap sites in the alignment of sequences. Appropriately incorporating evolutionary information of sites containing insertions and deletions into genetic difference measures will be improve the accuracy of phylogenetic estimates. Results We introduced a new measure for estimating genetic differences, and presented P*R*O*P, a web application for performing phylogenetic analysis based on genetic difference considering the effect of gaps. As an example of phylogenetic analysis using P*R*O*P, we used complete p53 amino acid sequences of 31 organisms and illustrated that the genetic differences with and without information on sites containing gaps result in trees with different topologies. Conclusions P*R*O*P is available at https://www.rs.tus.ac.jp/bioinformatics/prop and the user can perform phylogenetic analysis by uploading sequence data on the website. The most distinctive feature of P*R*O*P is its genetic difference that is estimated without eliminating gap sites for alignment sequences, which helps users detect meaningful difference in an evolutionary process. The source code is available in GitHub: https://github.com/TUS-Satolab/PROP.

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