Controlling inbreeding in dairy MOET nucleus schemes

1995 ◽  
Vol 60 (3) ◽  
pp. 379-387 ◽  
Author(s):  
Z. W. Luo ◽  
J. A. Woolliams ◽  
R. Thompson
Keyword(s):  
Genetic Variance ◽  
Selection Index ◽  
Progeny Testing ◽  
Factorial Designs ◽  
Genetic Progress ◽  
Breeding Values ◽  
Embryo Recovery ◽  
Multiple Ovulation ◽  
Significant Difference ◽  
Breeding Schemes

AbstractA nucleus dairy population using multiple ovulation and embryo transfer (MOET) was stochastically modelled with overlapping generations. The aim was to investigate the feasibility of controlling inbreeding in MOET breeding schemes using more realistic parameters for embryo recovery and best linear unbiased prediction (BLUP) for genetic evaluation. Four different cases (involving the culling of donors, more donors and the use of organized progeny testing of nucleus bulls) were studied in combination with nested and factorial designs. Further studies involved modifications of the selection index, including subtracting parental breeding values, inflating the genetic variance in the BLUP evaluation and penalizing inbred animals; these options were examined both with and without organized progeny testing. The effects of applying these schemes on both genetic response and rate of inbreeding were investigated. The results stressed the importance of incorporating progeny testing into MOET schemes for value of reducing inbreeding whilst maintaining genetic progress. There was no significant difference between nested and factorial designs. In the absence of progeny testing the inflation of genetic variance was more effective than subtracting parental breeding values at controlling inbreeding; however incorporating progeny testing made the latter strategy more potent and the superiority of inflating the genetic variance was in this case much smaller and non-significant.

Embryo manipulation in cattle breeding and production

1989 ◽  
Vol 48 (1) ◽  
pp. 3-30 ◽  
Author(s):  
J. A. Woolliams ◽  
I. Wilmut
Keyword(s):  
Gene Transfer ◽  
Beef Cattle ◽  
Embryo Transfer ◽  
Nuclear Transfer ◽  
Progeny Testing ◽  
Genetic Progress ◽  
Embryo Recovery ◽  
Multiple Ovulation ◽  
The Impact

ABSTRACTDevelopments, both recent and potential, in procedures for manipulating embryos are described. The procedures considered include: embryo transfer, multiple ovulation and embryo recovery, recovery of oocytes, in vitro maturation (IVM) and fertilization (IVF) of oocytes, in vitro culture of zygotes, embryo splitting and nuclear transfer, embryo storage, embryo sexing, gene transfer and embryo stem cells. The impact of these procedures on breeding strategies such as multiple ovulation and embryo transfer (MOET) nucleus breeding schemes and progeny testing are discussed for both dairy and beef cattle.For MOET nucleus schemes all these procedures have potential applications in producing maximal rates of genetic progress for a fixed rate of inbreeding. With the current effectiveness of the procedures, embryo sexing and nuclear transfer would have the most impact. The potential for increasing genetic progress through progeny testing is enhanced using multiple ovulation, embryo recovery and transfer in cows to breed bulls, but no other procedures appeared to offer major benefits. The efficiency of beef production from the dairy herd could be increased either by using IVM and IVF to produce more beef-type calves or, potentially, by cloning and embryo transfer, to produce pure beef calves. Procedures leading to the production of clone families would make an impact on the evaluation of genotypes and environments. Gene transfer may be used to modify the composition of milk including the production of pharmaceutical proteins, and to increase milk yield or the efficiency of lean meat production.It is concluded that, although much further research is required, the procedures discussed will have major implications for the structure and organization of dairy and beef cattle herds over the next decade.

The incorporation of fertility indices in genetic improvement programmes

2001 ◽  
Vol 26 (1) ◽  
pp. 237-249 ◽  
Author(s):  
J.E. Pryce ◽  
R.F. Veerkamp
Keyword(s):  
Genetic Variance ◽  
Selection Index ◽  
Genetic Correlations ◽  
Live Weight ◽  
Parameter Estimates ◽  
Phenotypic Variance ◽  
Production Traits ◽  
Genetic Progress ◽  
Detection Rates ◽  
Days Open

AbstractIn recent years there has been considerable genetic progress in milk production. Yet, increases in yield have been accompanied by an apparent lengthening of calving intervals, days open, days to first heat and a decline in conception rates, which appears to be both at the genetic and phenotypic level. Fertility has a high relative economic value compared to production traits such as protein, making it attractive to include in a breeding programme. To do this there needs to be genetic variance in fertility. Measures of fertility calculated from service dates have a small genetic compared to phenotypic variance, hence heritability estimates are small, typically less than 5%, although coefficients of genetic variance are comparable to those of production traits. Heritabilities of commencement of luteal activity determined using progesterone profiles are generally higher, and have been reported as being from 0.16 to 0.28, which could be because of a more precise quantification of genetic variance, as management influences such as delaying insemination and heat detection rates are excluded. However, it might not be the use of progesterone profiles alone, as days to first heat observed by farm staff has a heritability of 0.15. The most efficient way to breed for improved fertility is to construct a selection index using the genetic and phenotypic parameter estimates of all traits of interest in addition to their respective economic values. Index traits for fertility could include measures such as calving interval, days open, days to first service, or days to first heat but there may also be alternative measures. Examples include traits related to energy balance, such as live weight and condition score (change), both of which have higher heritabilities than fertility measures and have genetic correlations of sufficient magnitude to make genetic progress by using them feasible. To redress the balance between fertility and production, some countries already publish genetic evaluations of fertility including: Denmark, Finland, France, Germany, Israel, The Netherlands, Norway and Sweden.

314 RELATIONSHIP BETWEEN SERUM ANTI-MULLERIAN HORMONE (AMH), OVARIAN RESERVE, AND EMBRYO PRODUCTION IN SUPEROVULATED HOLSTEIN COWS

2013 ◽  
Vol 25 (1) ◽  
pp. 304 ◽  
Author(s):  
A. Rozner ◽  
J. Verstegen
Keyword(s):  
Embryo Production ◽  
Blood Samples ◽  
Positive Correlation ◽  
Embryo Recovery ◽  
Multiple Ovulation ◽  
Oocyte Collection ◽  
Significant Difference ◽  
Collection Data ◽  
Over Time

The relations between serum anti-Mullerian hormone (AMH), oocyte numbers, and in vivo embryo production in Holstein heifers were evaluated. The AMH levels of 15 unstimulated cows were followed at weekly intervals during their oestrous cycles and monthly for 4 months. Forty-one superovulated heifers were evaluated at ovum pick-up (OPU) performed 20 h after cystorelin administration, and 125 others were evaluated at embryo recovery. Animals were followed over 3 consecutive cycles induced using a modified Ovsynch protocol with 4 days of FSH (Pluset H, Minitube of America, Verona, WI, USA). Blood samples were collected in serum tubes and spun within 2 h. The samples were stored at –20°C until evaluation using the Minitube of America AMH-bovine specific immunoassay (AMH Fertility Assay™). The statistical analyses (ANOVA and data correlation) were performed using Statview 5 with P < 0.05. Serum AMH ranged from 43 to 960 pg mL–1. The average AMH level of all cows was stable during the oestrous cycle and for each of the 4 monthly measurements. There was a high correlation between all values per animal (r2 = 0.9077; P < 0.01), suggesting that AMH levels are consistent during the cycle and for at least 4 consecutive months. Animals that were repeatedly stimulated showed decreasing AMH levels (509 ± 295, 299 ± 210, 211 ± 119) and a decrease in recovered embryos (7.4 ± 4, 5.6 ± 3.8, 4.2 ± 3.2; P = 0.02). The number of oocytes was not altered by multiple stimulations (10.4 ± 9.8, 11.3 ± 6.2, 8.5 ± 7.6; P = 0.75). As AMH and embryo numbers decreased after multiple stimulations, only the first AMH value and results of the first OPU or flush were used to establish following correlation. Serum AMH showed a positive correlation to the number of oocytes (r2 = 0.245) and embryos collected (r2 = 0.27).When separated into AMH categories, low (<100), normal (100–400), and high (>400 pg mL–1), high-AMH OPU animals yielded significantly higher numbers of oocytes than the animals in the normal or low AMH groups (13.8 ± 9.2 v. 9.2 ± 5.2 and 5.6 ± 3.9; P = 0.001). Flushed animals with high AMH levels had significantly higher numbers of embryos than those with low AMH (10.9 ± 7.9 v. 5.7 ± 5; P = 0.002). Comparison of the first AMH value to the average number of oocytes or embryos collected over the course of 3 collections/animal showed a positive correlation to the average number of oocytes/collection from individual OPU donors (r2 = 0.436) and a positive correlation to the average number of embryos/collection from individual donors (r2 = 0.176). When separated into AMH groups, high-AMH flushed animals had significantly higher numbers of embryos than the normal- or low-AMH animals (9.3 ± 3.1 v. 5.7 ± 3.4 and 4.5 ± 2; P = 0.0001). As OPU animals with low AMH were used only once, average oocyte/collection data was not available for this category. A significant difference was observed between the high- and normal-AMH categories (12 ± 3.6 v. 7 ± 2; P = 0.0001). Circulating AMH is stable over time in unstimulated animals but decreases in repetitively stimulated animals. Anti-Mullerian hormone is highly associated with superovulation response and oocyte and embryo production, and its use should improve animal selection to achieve improve efficiency of multiple-ovulation embryo transfer.

scholarly journals Designing dairy cattle breeding schemes under genomic selection: a review of international research

2012 ◽  
Vol 52 (3) ◽  
pp. 107 ◽  
Author(s):  
J. E. Pryce ◽  
H. D. Daetwyler
Keyword(s):  
Dairy Cattle ◽  
Genomic Selection ◽  
Genetic Gain ◽  
Reproductive Technologies ◽  
Progeny Testing ◽  
Genomic Breeding ◽  
Breeding Values ◽  
Scheme Design ◽  
Dairy Cattle Breeding ◽  
Breeding Schemes

High rates of genetic gain can be achieved through (1) accurate predictions of breeding values (2) high intensities of selection and (3) shorter generation intervals. Reliabilities of ~60% are currently achievable using genomic selection in dairy cattle. This breakthrough means that selection of animals can happen at a very early age (i.e. as soon as a DNA sample is available) and has opened opportunities to radically redesign breeding schemes. Most research over the past decade has focussed on the feasibility of genomic selection, especially how to increase the accuracy of genomic breeding values. More recently, how to apply genomic technology to breeding schemes has generated a lot of interest. Some of this research remains the intellectual property of breeding companies, but there are examples in the public domain. Here we review published research into breeding scheme design using genomic selection and evaluate which designs appear to be promising (in terms of rates of genetic gain) and those that may have unfavourable side-effects (i.e. increasing the rate of inbreeding). The schemes range from fairly conservative designs where bulls are screened genomically to reduce numbers entering progeny testing, to schemes where very large numbers of bull calves are screened and used as sires as soon as they reach sexual maturity. More radical schemes that incorporate the use of reproductive technologies (in juveniles) and genomic selection in nucleus herds are also described. The models used are either deterministic and more recently tend to be stochastic, simulating populations of cattle. A key driver of the rate of genetic gain is the generation interval, which could range from being similar to that in conventional testing (~5 years), down to as little as 1.5 years. Generally, the rate of genetic gain is between 12% and 100% more than in conventional progeny testing, while the rate of inbreeding tends to be lower per generation than in progeny testing because Mendelian sampling terms can be estimated more accurately. However, short generation intervals can lead to higher rates of inbreeding per year in genomic breeding programs.

Genetic progress in the lleyn group breeding scheme using a multitrait selection index

1995 ◽  
Vol 1995 ◽  
pp. 131-131
Author(s):  
G.E. Pollott ◽  
D.R. Guy ◽  
D. Croston
Keyword(s):  
Selection Index ◽  
Breeding Scheme ◽  
Genetic Progress ◽  
Group Breeding ◽  
North Wales ◽  
Group Members ◽  
Breeding Schemes ◽  
Set Up ◽  
Multitrait Selection ◽  
Made In

Group breeding schemes were introduced into Britain in the 1970s as a means of increasing the rate of genetic improvement in sheep and providing a vehicle for breeders to cooperate and pool resources. The Lleyn Group Breeding Scheme was set up in 1978 with the aim of improving several maternal traits in a breed known for its prolificacy. Although the breed originates from North Wales members of the group were drawn from different parts of Britain. Flocks in the scheme were all recorded by MLC and sheep had the possibility of being selected using MLC's selection index, appropriately weighted for the traits of interest to group members.This analysis was designed to investigate the genetic progress made in the scheme between 1979 and 1993. Three traits were analysed; adjusted early lamb weight (LW) (at eight weeks of age), mature weight (MW) (at 18-months) and litter size (LS) in the form Number of lambs born per ewe lambing (NLBEL). These three traits were investigated in ten flocks which participated in the scheme, at varying levels, during the 14-year period 1979-1993. However, only genetic progress in the nucleus flock is reported in this paper.

Genetic progress and inbreeding for alternative nucleus breeding schemes for beef cattle

1995 ◽  
Vol 61 (2) ◽  
pp. 231-239 ◽  
Author(s):  
B. Villanueva ◽  
G. Simm ◽  
J. A. Woolliams
Keyword(s):  
Beef Cattle ◽  
Mating Strategies ◽  
Percentage Increase ◽  
Expected Number ◽  
Genetic Progress ◽  
Multiple Ovulation ◽  
Population Sizes ◽  
Breeding Schemes ◽  
Nucleus Breeding ◽  
Selection Intensities

AbstractAlternative closed breeding schemes for beef cattle are analysed using stochastic computer simulation. Multiple ovulation and embryo transfer (MOET) schemes are compared with conventional schemes (schemes without MOET) with an equal expected number of progeny born per year. Schemes are compared for genetic gain and inbreeding obtained after 25 years of selection. The trait considered, evaluated in both sexes, has an initial heritability of 0·35. Different population sizes and numbers of sires selected are evaluated. Current realistic parameters for embryo production are assumed in MOET schemes.After 25 years of selection, and with no control on inbreeding, cumulative genetic gains are about 50% higher in MOET schemes compared with conventional schemes. The benefit from MOET is mostly due to increased selection intensities in females. The rate of inbreeding increases by up to nearly 300% when MOET is used. This maximum percentage increase in inbreeding following the use of MOET can be reduced to about 100% when selection and mating strategies for controlling inbreeding are used. The effect of the number of sires used on the inbreeding obtained is more important than the effect of the size of the herd. In MOET schemes, increasing the number of sires selected by a factor of three, leads to reductions in inbreeding rates of 40%. When schemes of the same size are compared at similar acceptable inbreeding levels, MOET schemes give around 30% higher genetic progress than conventional schemes.

Asymptotic rates of response from index selection

1989 ◽  
Vol 49 (2) ◽  
pp. 217-227 ◽  
Author(s):  
Naomi R. Wray ◽  
W. G. Hill
Keyword(s):  
Genetic Variance ◽  
Additive Genetic Variance ◽  
Index Selection ◽  
Selection Intensity ◽  
Response To Selection ◽  
Multiple Trait ◽  
Breeding Values ◽  
Breeding Programmes ◽  
Breeding Schemes ◽  
Rate Of Response

ABSTRACTThe reduction in additive genetic variance due to selection is investigated when index selection using family records is practised. A population of infinite size with no accumulation of inbreeding, an infinitesimal model and discrete generations are assumed. After several generations of selection, the additive genetic variance and the rate of response to selection reach an asymptote. A prediction of the asymptotic rate of response is considered to be more appropriate for comparing response from alternative breeding programmes and for comparing predicted and realized response than the response following the first generation of selection that is classically used. Algorithms to calculate asymptotic response rate are presented for selection based on indices which include some or all of the records of an individual, its full- and half-sibs and its parental estimated breeding values. An index using all this information is used to predict response when selection is based on breeding values estimated by using a Best Linear Unbiased Prediction (BLUP) animal model, and predictions agree well with simulation results. The predictions are extended to multiple trait selection.Asymptotic responses are compared with one-generation responses for a variety of alternative breeding schemes differing in population structure, selection intensity and heritability of the trait. Asymptotic responses can be up to one-quarter less than one-generation responses, the difference increasing with selection intensity and accuracy of the index. Between family variance is reduced considerably by selection, perhaps to less than half its original value, so selection indices which do not account for this tend to place too much emphasis on family information. Asymptotic rates of response to selection, using indices including family information for traits not measurable on the individuals available for selection, such as sex limited or post-slaughter traits, are found to be as much as two-fifths less than their expected one-generation responses. Despite this, the ranking of the breeding schemes is not greatly altered when compared by one-generation rather than asymptotic responses, so the one-generation prediction is usually likely to be adequate for determining optimum breeding structure.

Responses to selection for growth and backfat in closed nucleus herds of Hampshire and Duroc pigs

2001 ◽  
Vol 81 (1) ◽  
pp. 17-23 ◽  
Author(s):  
J. P. Gibson ◽  
V. M. Quinton ◽  
P. Simedrea
Keyword(s):  
Selection Index ◽  
High Standard ◽  
Selection Response ◽  
Genetic Trend ◽  
Genetic Progress ◽  
Breeding Values ◽  
Frozen Semen ◽  
Key Words Pig ◽  
Breeding Selection ◽  
Estimated Breeding Values

A herd of purebred Hampshire and a herd of purebred Duroc pigs were created between 1987 and 1989 and subsequently selected on an index of growth rate and backfat from 1989 to 1995. Strict rules were put in place to promote rapid turnover of generations and allow only minimal culling for structural soundness. In 1990, 1991, 1993 and 1994, a number of sows coming from the Hampshire and Duroc selection lines were bred using frozen semen collected from a sample of control boars born in 1988 and 1989. Estimates of genetic trend based on single trait animal model analyses of age at 100 kg and backfat estimated rates of response to selection of approximately –1.4 and –0.4 days and –0.5 and –0.3 mm backfat per annum in Durocs and Hampshires, respectively. These were close to the original predictions based on the index employed for Durocs, but somewhat less than expected for Hampshires. Comparison of progeny of selected versus control boars was consistent with significant selection responses having been achieved, though estimates of the magnitude of the response had high standard errors. During the period of the trial, both the Hampshire and Duroc herds went from slightly below average on the Canadian National Genetic Evaluation Program to become the number one herds within their breed for the sire line index based on backfat and growth. The trial demonstrated that selection indexes based on estimated breeding values can be used effectively to achieve genetic progress. Key words: Pig breeding, selection index, estimated breeding values, selection response

Usage of crossbred cattle for the progeny testing of Japanese black cattle (Wagyu)

1997 ◽  
Vol 1997 ◽  
pp. 146-146
Author(s):  
Y. Nagamine ◽  
K. Nirasawa ◽  
H. Takahashi
Keyword(s):  
Genetic Variance ◽  
Genetic Difference ◽  
Holstein Cattle ◽  
Progeny Testing ◽  
Crossbred Cattle ◽  
Japanese Black Cattle ◽  
Breeding Values ◽  
Sire Breed

The Japanese black cattle (Wagyu) is well known for their high marbling and price meat. Usually purebred calves from Japanese black cattle are used for the station or field progeny testing. If genetic variance of particular traits of the dam breed is much smaller than that of the sire breed, breeding values of sires can be estimated accurately from their crossbred progeny because genetic difference among dams is relatively small and can be ignored. The objective of this study was to investigate the possibility of using crossbred for progeny testing of Japanese black sires. Since marbling scores or carcass prices of Holstein cattle are low and do not vary widely, crossbred between Japanese black and Holstein was chosen in this study.

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