• Aucun résultat trouvé

Comparing methods of selecting litter size in rabbits when different amount of information is used Armero E., Cifre J., Baselga M. in

N/A
N/A
Protected

Academic year: 2022

Partager "Comparing methods of selecting litter size in rabbits when different amount of information is used Armero E., Cifre J., Baselga M. in"

Copied!
6
0
0

Texte intégral

(1)

Armero E., Cifre J., Baselga M.

in

Baselga M. (ed.), Marai I.F.M. (ed.).

Rabbit production in hot climates Zaragoza : CIHEAM

Cahiers Options Méditerranéennes; n. 8 1994

pages 235-239

Article available on lin e / Article dispon ible en lign e à l’adresse :

--- http://om.ciheam.org/article.php?ID PD F=95605297

--- To cite th is article / Pou r citer cet article

--- Armero E., Cifre J., Baselga M. Comparin g meth ods of selectin g litter size in rabbits wh en differen t amou n t of in formation is u sed. In : Baselga M. (ed.), Marai I.F.M. (ed.). Rabbit production in hot climates. Zaragoza : CIHEAM, 1994. p. 235-239 (Cahiers Options Méditerranéennes; n. 8) ---

http://www.ciheam.org/

http://om.ciheam.org/

(2)

OF

J.;

Tkke efficiency of two simplified methods of selecting size in has

studied. These methods, a of t w c

have that used all

the foundation until the

The has of matings,

of coincidence of to the next

of lost when the simplified methods used.

An analysis of of the methods to changes in genetic was also

of 18 and 14 lines size at

weaning used, and the was studied in 17, 18 one line,

and 13,14 of the The in the context of

study, with non to be selected

and fixed effects.

' The the using all

the and 0.90, and the

loss between O and 0.17, being the i The methods of

words: simplified ,

size at weaning have been the of choice to select specialized dam lines in meat The methods of selection commonly used a family index

et al., 1984)

model (Estany et al., is that only takes into

account the data of the to be selected and the one, it is done by the

family index. of

to select does size in genetic gains almost

negligible and less than 12% et al., 1985; Estany, 1987). Thus, the use of a

allows to save is of

computing facilities

by AGF94-0577 (Spain).

- -

(3)

of by models is quickly

expanding to many species involved in 1990),

and the aim of this is the the and

a family index oftenly used to select size in The be made on the efficiency to select the the best females, analyzing this efficiency in two

consecutive of two lines of have selection on size

a long time.

Weaning size of two lines of A and V used, including

all of the does the foundation of the lines until 18 in line A, and 14 in line V.

Line A has been selected on et al., 1984), and line V on a (Estany et al., 1989) size at weaning, being the in non The family index took into account, to values of individuals of the last the own doeis to be evaluated) and the

of the dam, full sibs and half sibs. The individuals of the last

the the founding fixed

effects of the doe when it became

effects additive values of the animals. An

of 0.136 and of 1982) the used to

actually run the family index and the in to evaluate the matings.

of the best matings was selected to make up the next The genetic

value of a mating was computed the of the values male

and the doe of the mating. The selection of a of the

females had two and then the of matings selected was 0.25 but when

the of females its this 0.33. Thus, we

steps in the selection the of 0.25 and the last

one with 0.33.

methods of genetic values of matings in the two steps of selection of 17, 18 of line A, and 13, 14 of line V. The methods the

f m i l y index, the reduced B h p , on all (complete

foundation of the line to the moment of selecting the of the best

matings. To the methods sets of called A, B, C,

and used. The set to the to select. The and

sets estimates line A and V got analyzing the totality of data (Gómez, unpublished). The sets like and a set, the C set, was used in line A, in to check the the methods with

The A, B and C sets used in line A, and the sets A and in line V.

sets used.

h’

0.200 0.180 O. 180 0.125

0.136 0.140 0.100 0.064

The size of the lines 120 9 and 25 3, but gives the

(4)

of animals of the involved in the of methods óf evaluation, and the of at each one of the two steps of selection.

to study the of the be made

between of the matings, the of the

methods and genetic compute the losses in

genetic value when a simplified method is used instead of a complete

at each step of selection in the lines indicated.

Generation Number of animals

at fimt step at last step

the two simplified methods of evaluating matings, shows that

the and the family index gave the the to

the matings was the by each method.

TAB1

Generation Gen Param’

First

Genetic

E of of

and a family index in the and the last steps of selection.

A

17 18 13 14

A

0.97 0.98 0.98 0.98 0.98 0.98 0.99 0.97 0.98 0.98

0.99 0.99 .0.98 0.97 0.99 0.99 0.99 0.98 0.98 0.98 A

B

C A

B

The genetic than 0.97.

obtained by et al. (1985) and by Estany (1987) when the the methods was made on the basis of genetic evaluations

of individuals instead of the family index and the

lies in the fixed effects taken into account by the and not by

the index. These effects seem to be matings when the

non the animals housed in the the females go

the same physiological states. Given the family index, we will

on of matings .at the two steps of

selection within method of 0.79 and 0.92, being

the modal value 0.85. in the of matings

between the and last step of selection. Consequently it is sensible to select -

-

(5)

of matings at the beginning. We must note that the

sets the same, what is a indication of values

complete and family index in 17 of line A and

13 of line The maximum is 18 of line A, being the

0.05 than family index. This the

at step

of matings at and the last steps of selection with a complete and a family index.

A V Generation

GenPamm' A

13 14 18 17

C A B B

0.91 0.92 0.85 0.85 0.84 0.84 0.84 0.80 0.80 0.79

F m

0.90 0.91 0.82 0.83 0.86 0.86 0.86 0.85 0.85 0.85

Genetic Set.

and a family index at last step of selection.

I

A

I

V

Generation 17

A

B C

Gen Parsun' A

14 13

18 B

~ ~~~ ~~~

0.91 0.89 0.90 0.90 0.87

0.93 0.91 0.89 0.90 0.87

0.66 0.63 0.81 0.84 0.78

0.86 0.84 0.90 0.90 0.90

I

Fint

I

0.17 0.14 0.15 0.01 0.02 0.04

I I

0.08 0.07 0.09 0.04 0.04 0.05

-

Genetic Set.

0.95 0.92 0.86 0.79

0.95 0.93 0.90 0.84

0.86 0.86 0.76 0.62

0.90 0.88 0.84 0.78

0.06 0.07 -0.03 0.08

0.04 0.06 0.10 0.17

2'

.-

of matings.

'.-

Coincidence of selected matings between both methods.

'.-

Loss using the family index instead of the complete

To analyze the loss of efficiency when selection is made on of a family index instead of a complete shows the value of the between

of matings got each method, the of coincidence of matings that

selected in both methods and the of using the simplified

method. The always equal the last step, when

to evaluate, than at the step of selection. The values oftenly than

0.90. The minimum is 0.79 14 of line V and the lowest value of

The coincidence between 0.62 and 0.86 at step of selection, and between 0.78

and 0.90 at the second. due to the at the last step (Estany,

(6)

1987; et al., 1985) the of accumulated

at this moment. The losses using the equal

than 0.17, being the 0.05-0.06. obtained by et

al. (1985) and Estany (1987). The loss of efficiency is actually low negligible.

us about how the methods to evaluate genetically the matings

genetic show that the

methods 1976).

V1.- the sets of genetic

in a complete and in a family index at last step of selection.

r

13 14

17 18

Generation

A

t

GenParam’ BA CA CB BA CA CB

I

B h p

I

0.999 0.995 0.992 0.999 0,996 0.993

I

0.988 0.976

. F h d

0.000 0.006 0.006 0.000 0.000 0.000 0.000 0.006 0.006 0.000 0.000 Blup

1.000 0.941 0.941 0.980 1.000 0.980

F h d

1.000 0.941 0.941 0.980 1.000 0.980

Blup

0.999 0.995 0.992 0.999 0,996 0.993

.-

Genetic sets

0.988 0.976

0.958 0.880

Oi958 0.880

0.010 0.032

0.010 0.032

the

Coincidence of sets.

‘.- loss the set instead of the second one.

J. (1984) 62-65.

J. (1985) Animal.

N” 5 : 41-52.

(1990). 4~ on Genetics Applied to

Livestock 394-399.

ESTANY, J. (1987) la selección en lineas de de

conejo de de

ESTANY, J.; J. (1989) Livest. Sci. 21: 67-

75.

F. (1 982) Genética y de

G.; (1977). Ann. Génét. Sél. anim. 9(3): 393-405.

SALES, J.; W.G. (1976). Anim. 22: 1-17.

- -

Références

Documents relatifs

In the theory of Kleinian groups, there is a parallel construction, the construction of double limits, that is central to Thurston’s hyperbolization theorem for 3-manifolds that

The International Year of the Family in 1994 reminds us all of the crucial importance of the family in maintaining an optimal level of physical, mental and social health for

WHO's efforts to control diarrhoea/ diseas~s put special emphasis on conveying three key messages: increase fluids, keep feeding (including breast-feeding), and consult

We also compute the dimension of the sets where the functions have a given pointwise regularity and prove that these functions are multifractal both from the point of view of H¨

Bismut’s theorem on the local index of a family of Dirac operators is based on an infinite dimensional analogue of Quillen’s construction.. This generalization of

The 2-nd phase – transmission of data blocks in accordance with the regulated synchronous- time method of multiple access, which provides for the regulation of ST access to

Our experiments show that features selected with a linear kernel provide the best clas- sification performance in general, but if strong non-linearities are present in the

We developed a divergent selection experiment on intra-doe phenotypic variance as a measure of environmental vari- ance of litter size..