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COLLECTION: GOAT HANDBOOK
ORIGIN: United States
DATE INCLUDED: June 1992
Extension Goat Handbook
This material was contributed from
collections at the National Agricultural Library.
However, users should direct all inquires about the
contents to authors or originating agencies.
DOCN 000000029
NO D-3
GENETIC EVALUATIONS
G. R. Wiggans; ARS-USDA Beltsville, MD M. Grossman;
U. of Illinois Urbana M. R. Dentine; North Carolina
State U., Raleigh
G. F. W. Haenlein; U. of Delaware, Newark.
Genetics and Reproduction
1 The genetic potential of dairy goats to produce
milk and fat can be improved each generation if does
and bucks with the best genotypes in the current generation
are selected as parents for the next generation. The
practical difficulty in mating ''the best to the best''
is to evaluate which does and bucks are ''the best''.
2 Does A doe's production is the result of both genetic
and environmental factors. Methods have been developed
to adjust for some of the environmental effects on
production. Adjustment is necessary to measure a doe's
genetic ability accurately. Records are adjusted to
remove bias due to the effects of age and season at
kidding and to project incomplete records to a standard
305-day basis.
3 Many environmental factors are common to does kidding
in the same herd and year (herd-year). Comparisons
among does freshening in the same herd-year are not
affected by such factors. However, comparisons among
does in different herd-years should be based on differences
between does' individual production and production
of other does in the same herd-year; i.e., herdmate
deviations. Genetic differences among herds could
be corrected by considering the genetic values of
herdmate sires. This correction becomes more effective
as the accuracy of the evaluations of herdmate sires
increases.
4 Bucks Evaluation of bucks for milk traits is more
complicated than evaluation for growth, meat, and
fiber traits or evaluation of does because bucks do
not produce milk. Information on milk traits for a
buck comes from observations on female relatives,
particularly daughters. One buck's genetic ability
to sire superior daughters can be compared with another
buck's ability if both have daughters kidding in the
same herd-year. Indirect comparisons also are possible.
For example, if two bucks have daughters in different
herd-years but in common with daughters of a third
buck, the two bucks in question can be compared through
the third buck. Thus, daughters of bucks used in more
than one herd-year serve to tie evaluations together.
A buck cannot be evaluated properly if he does not
have daughters in a common environment with daughters
of another buck; i.e., if he is the only buck with
daughters in a herd-year and has daughters only in
that herd-year. Artificial insemination (AI) can increase
the number of bucks in different herd-years and thereby
increase the accuracy of buck evaluations. Furthermore,
AI may be the most practical way to use several bucks
in a herd each year and for many bucks to have daughters
in more than one herd.
5 Generally, a genetic evaluation of a buck is an
estimate of the amount by which a buck's daughter
production differs from production of daughters of
bucks chosen as the base group. More daughters records
provide more information; however, the distribution
of daughter records among herd-years and the number
of comparisons with daughters of other bucks determine
the amount of information each record provides. The
prediction of performance of future daughters varies
with the amount of information available as well as
with the level of current daughter performance.
6 Research to evaluate dairy goat bucks is progressing.
Recent data show that the number of lactation records
received for genetic evaluations increased from 2,858
in 1974 to 7,516 in 1977 and that the number of herds
increased from 389 to 1,171. The number of lactations
per herd-year, however, decreased from 7.3 to 6.4.
This drop was probably a result of an increase in
the number of smaller herds on test in recent years.
Of the 4,853 herd-years in the data, 942 (19.4) had
only 1 buck represented per herd-year. About 530f
the herdyears had fewer than four bucks represented.
Of the 10,102 bucks, 5,608 (55.5) had only 1 daughter
record. About 87had fewer than four daughters records.
A total of 9,812 bucks had daughters in herd-years
with daughters of other bucks and thus had information
suitable for daughter comparisons. Among these tied
bucks, 5,068 (51.7) had daughters in only 1 herd-year.
The number of dairy goats enrolled in testing plans
has increased to 14,449 does and 1,616 herds as of
January 1, 1982.
7 A dairy buck summary with evaluations for 143 Alpine,
205 Nubian, 72 Saanen, and 82 Toggenburg bucks was
published by the University of California at Davis
in the fall of 1980; lists of elite bucks and does
also were published. Data for the summary came from
official Dairy Herd Improvement records from California
for 1970 to 1978 on file at USDA. Records of bucks
with fewer than four daughters could not be used because
of the limited reliability of the evaluations. Predicted
differences for milk yield, fat yield, and fat percentage
were given, along with their standard errors. The
base was established so that an average buck's evaluation
was zero. Bucks and does with evaluations at least
one standard error above averages for milk or fat
were designated as elite.
8 Genetic evaluation is an evolving process. Preliminary
identification of some superior bucks should encourage
their widespread use. As a consequence of this, bucks
could be evaluated more accurately, which would promote
genetic progress.
9 Young Buck Proving Scheme The possibility of a
national program for buck evaluation is becoming more
likely, but poor distribution of daughters across
herds or years impedes progress. Breeders interested
in having their bucks included in a future summary
can take several approaches to insure that their bucks
have the information needed:
(1) Breed a buck to does in several herds. Trade breedings
with other buck owners so that each buck will have
daughters in several herds. Some herd owners offer
incentives, such as lowered stud fees, to other herds
on official test and classification.
(2) After daughters of a buck are born, distribute
them to different herds. A buck-proving cooperative
made up of several herds might test daughters of four
or five young bucks by trading daughters until several
from each sire are in each herd. This system might
be preferable to trading breeding services if herds
are long distances apart.
(3) Raise daughters until fall, breed them to a young
buck other than their sire, and then trade or sell
them to other herds on test. In this way, daughters
freshen in other herds and are compared with daughters
of other bucks.
10 In establishing and following any young buck proving
scheme, several points must be kept in mind:
(1) Five daughters each in five herds is considered
a minimum goal for a buck to be evaluated.
(2) Daughters must be in tested herds with daughters
of other bucks.
(3) Bucks should be bred to several does so that the
choice of mates will not favor a certain buck.
(4) Unbiased cooperation of herd owners is necessary,
but the opportunity to identify bucks that have the
potential for true breed improvement makes it worth
the effort.
11 A young buck proving scheme could be implemented
immediately and would have great benefits for the
dairy goat industry in the United States and around
the world.
GENETIC EVALUATIONS
COLLECTION;GOAT HANDBOOK
ORIGIN;United States
DATE_INCLUDED;June 1992
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