This is from the November 2011 Dairy Route Letter
The more experienced purebred Breeders, those who thought about bloodlines prior to “index rank”, continue to seek out cow family sires-- bulls who come from developed maternal lines, often showing more longevity (thus higher fertility) than the conventional “sire stack” AI offerings.
The more experienced purebred Breeders, those who thought about bloodlines prior to “index rank”, continue to seek out cow family sires-- bulls who come from developed maternal lines, often showing more longevity (thus higher fertility) than the conventional “sire stack” AI offerings.
These Breeders recognize that
“performance traits” and “maternal traits” rarely coexist in any individual
sire, as underlying genes tend to be negatively correlated. To produce cows who reproduce regularly
and stay healthy over full lifetimes, but stay competitive for milk production,
requires a “blending” of pedigrees, crossing “performance” sires on “maternal
trait” cows, and vice versa, to keep some balance in their breed gene pool and
maintain potential for heterosis in matings (“hybrid vigor”).
Single trait [rank] vs
Multi trait [matrix] selection
approaches
In other agricultural species [both plant
and animal] parent stock lines are maintained with specific gene
focuses, as in (a) growth rate, (b) fertility rate and litter survival, (c)
milking ability, (d) fleshing ability.
In these species, there is no “one
size fits all” composite genetic rank—there is instead a preservation of
linebred stock lines, crossed to produce higher performance hybrid
offspring. In this way, plant as well
as animal breeders maintain gene pool diversity, while improving yields.
The single trait selection approach
(which began with PD Fat in the 1960s, PD Milk in the 1970s, then a move to PTA
Protein in the 1980s, TPI in the 1990s, $Net Merit in the 2000s, Genomics in
2010) is thus peculiar to the mainstream dairy selection practices. The fallacy in single-trait approaches
(whether a single measured “trait” or a composite index “rank” is used) is that
it leads us to make too many “like to like” matings—matings that
intensify gene possession for a narrowly defined performance dependent on an
equally narrow “ideal” environment.
These matings often lead to “inbreeding depression”.
The fallacy of composite index ranking over time
Under any single-trait approach, the more you accelerate
yield gains in theory, the more you lose in the realized “secondary” (or
ignored) supporting traits. Traits
given the most weight in the index will prove to dominate the resulting
genotypes such that, in the third generation, most of the “heterosis” effect
from initial switch to the selection index is gone. Mediocre performance in all “secondary”
traits is what now shows up in our cows, whether it is stalled production
response (when the index favors health traits) or lost fertility, increased
stillbirths, and lower immune function (when the index favors yield traits).
The concept of “performance” lines and “maternal trait” lines
In a practical sense, for dairy
breeding today (given the huge loss in bloodline diversity that followed the
pedigree-based approach to sire and cow ranking under “Animal Model” evaluation
formulas) the better approach to both gain production and also gain health
and reproduction is to alternate generations – if you have been following
“performance” [sire stack] sire lines, switch for a generation or two in favor
of “cow family” [maternal line depth]
sire lines.
In Holstein breeding history, this was
done when the “Burke” [performance] line cows got too small and short lived
(from udder failure) was crossed with the “Rag Apple” [maternal] line bulls,
and the result—
gains in stature and strength, more
mature production volume, longer breeding life—were exceeding the predictions
from the individual sire line indexes.
Of course, the most dramatic example of this blood cross was Round Oak Rag Apple Elevation (inbred “Burke” sire from linebred “Rag Apple”
dam).
Examples of “performance” sires vs “maternal line” sires
Two of the more extreme “performance”
sires bred just prior to the introduction of “fitness” traits were Marathon BW
Marshall and Stouder Morty. Both of these sires were introduced to
Holstein breeder circles as elite “production yield” sires with desirable
“linear type traits”… Both are now
recognized as among the breed’s recent worst for calf stillbirths,
daughter fertility, and thus productive life.
They had some things in common. First, they had dams that made a single
huge lactation, but over short lifetimes had few calves and inconsistent
breeding records. Often such cows
leave no maternal descendants to start a “cow family” due to the lack of (a)
fertility and (b) maternal instinct. A
closer look at their pedigrees shows that each was from a line of cows with
indifferent or inconsistent records.
These cows came to AI attention
because they had high indexes, a result of having a high performance
“sire stack” that was validated by their above-average first lactation
yields. But a sire-based “index”
system has this weakness of understating differences in maternal traits of
importance: beginning with a
trainable intelligence, followed by good natural fertility, then some maternal
instinct at calving, an easy transition to group milking, a strong appetite,
and good health consistent with a will to live. Cows who come from a maternal trait inheritance
will produce more live calves in their lifetime, and you will get more total
salable milk production in their lifetime, than from a pure hybrid
“performance” sire stack.
The possible weakness in our initial approach to Genomics
The accumulating defect in Genomic selection (as focused
on TPI, $NM or LPI) is that all the emphasis is on the limited range of
measured traits, that lean heavily toward “performance” over “maternal” cow
phenotypes. This is a consequence of
basing all Genomic interpretation of females on a “sire” base—an error already
implicit in “Animal Model” that contributed to losses in fertility, health and
longevity.
In the USA, 70% of all young ranked Genomic sires have
aAa’s of 2-3-4 combinations—clearly more “performance” than “maternal”. In Canada under the LPI index, 70% of all
ranked Genomic sires are 1-3-2 aAa combinations (similar to the US, but with
less “strength” due to LPI’s lower health emphasis).
This is one way of observing that, rather than finding us
“outlier” sires as predicted, Genomics to date is accelerating the process of
“likes to likes” which leads to inbreeding depression.
Linear type and production yield measures are both
“performance” in focus
Do not make the mistake of believing that “if I select
high type I will avoid short herdlife cows”.
When you critically analyze that statement, common sense tells you that
higher youthful type scores are just a prediction of earlier production
maturity. The way to add longevity to
your herd is to look at the cow line in a bull’s pedigree and find cows like
those behind 76H 466 Ridgedale Escalate,
where you have three dams in a row that scored “EX 95” thus are proven to
develop into maturity, and on their lifetime production performance, express an
elite level of sustained productivity that requires successful fertility and
health quality to realize. (Pedigree
may be an old tool, but it still contains relevant information.)
The stated genetic evaluations of sires like “Escalate”
are never as high as you find from purely hybrid “performance” sire
stacks. But some clues to “maternal
quality” are in the better ratings for stillbirths, daughter calving ease,
daughter pregnancy rate, somatic cell scores, and Productive Life, verified
from a maternal pedigree development that explains the gene source of that
superiority in those traits.
These sire differences have always existed. But who ever explained it to you this way?
Cow
family sires What goes around, comes back again
In
the seminal days of AI, while many studs talked about “proven sires”, other
studs (like Curtiss, our original home in the AI business) talked about “cow
families”. Comparing herds who
followed each philosophy, you could find elite production in either group, and
the same rate of production gains over time.
But this parallel progress was ignored by researchers who focused, not
on total herd performance, but individual sire deviations.
When
all we measured was lactation production and type scores, emphasizing one over
the other, a great deal of bloodline diversity was lost. Since the introduction of traits for
health, fertility and “will to live”, it is much clearer that we were willing
to trade off cow longevity in favor of rapid production realization and equally
rapid cow obsolescence.
The
“cow family” concept makes sense once you rename it “maternal traits” and
consider the value in daily husbandry of the self-reliant cow who has a strong
mothering instinct and equally strong will to live, attributes biologists see
as linked to fertility.
Mich Livestock Service Inc--“For the Best in Bulls”, including
knowledge to succeed
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