ANSC 313 Lecture Notes - Lecture 2: Weighted Arithmetic Mean, Data Comparison, Heritability

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20 Jun 2018
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LECTURE 5!
!
Selection and mating strategies!
Selection!
goal setting is critical!
improvement goals that include more than 3-5 traits are very dicult to implement!
want to be dierent or change something that has been happening!
!
correlated responses!
positive!
milk yield : protein yield (both increase)!
negative!
broiler size increase : fertility decreases!
negative does not mean detrimental!
positive doesn't mean beneficial!
on hand out!
!
how are multiple traits selected for simultaneously ( THREE MAIN ONES)!
independent culling levels!
select for minimum value per characteristics!
i.e. every breeding animal > minimum for every trait in the goal set, no averaging!
example: R.O.P Bulls ( recored of performance)!
30 cm scrotal circumference!
"pass" on feet & legs!
> average weight gain for breed!
useful for "multipurpose" animals!
potentially culls many animals!
Tandem selection!
selects for most important trait this season, 2nd trait next season, eat.!
i.e. sequential election of traits not simultaneous!
ecient if ALL desire trait are positively correlated!
in reality- used primarily as a temporary selection to focus on the most important trait!
i.e. egg size ( ignoring number, color, shape of eggs)!
index selection!
use a formula to simultaneously select for several traits, emphasizing some more than
others!
example: boar selection index!
&&11+ 17.7 (ADG/varitation for grain)!
&&&- 17.7 ( fate deviations/ variation for fat!
&note : feed eciency recognized as important but dicult to measure with group penning!
if you want something you add it!
if you don't want it you subtract it!
seeing eye dog selection index!
she felt breeding the correct dogs was needed since donated dogs didn't typically do well!
&&conformation!
&&working ability!
&&intelligence!
&&soundness !
take these categories and see which dog does the best in all of these and use that dog!
versatile hunting dog testing system!
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