Genetic analysis of age at first service, return rate, litter size, and weaning-to-first service interval of gilts and sows1

2005 ◽  
Vol 83 (1) ◽  
pp. 41-48 ◽  
Author(s):  
B. Holm ◽  
M. Bakken ◽  
O. Vangen ◽  
R. Rekaya
Keyword(s):  
Genetic Analysis ◽  
Litter Size ◽  
Return Rate

Semen Viability Properties of Sexually Stimulated Boars on the Fertilization Capacity of Artificially Inseminated Large White Sows

2021 ◽  
Author(s):  
Tshepo Teele
Keyword(s):  
Litter Size ◽  
Artificial Insemination ◽  
Practical Method ◽  
Return Rate ◽  
Practical Significance ◽  
Large White ◽  
Sexual Stimulation ◽  
Semen Collection ◽  
Fertilization Capacity ◽  
Farrowing Rate

Background: This study aimed to investigate the influences of sexual preparation on the effects of boars’ semen viability on the fertilization capacity of artificially inseminated sows. After all, boar sires more pigs than farrowed by a sow which the boar has been mated to improve reproductive parameters in response to AI. Methods: The semen viability of boars were studied during various sexual stimulations and analyzed during the study period. Sperm rich fractions were collected and separated at every level of sexual stimulation during the morning (08:30) and the afternoon (14:30) hours, respectively. Artificial insemination was performed following three levels of sexual preparations of boars (0 minutes of sexual restraint (MSR), 5 MSR and 10 MSR) before semen collection. Receptive sows were inseminated and evaluated for fertility traits using non-return rate, farrowing rate and litter size. Result: The non-return rate was recorded as a percentage of sows conceived after insemination over the total number of sows inseminated. The farrowing rate was recorded as a percentage of sows that farrows over the number of sows conceived and litter size as several live piglets per sow. Sexual desire was influenced by sexual preparations and significantly influenced the fertility of the artificially inseminated sows. This study is of practical significance to the animal breeder mainly because boars have greater influence than sows on the average litter size and live piglets. The study concludes that the use of at least 5 to 10 minutes of sexual restraint during the afternoon periods prior to semen collection and artificial insemination is found to be a practical method for optimizing sperm viability and fertility of sows in the intensive system.

A genetic analysis of litter traits in Bauscat and Giza White rabbits

1987 ◽  
Vol 45 (1) ◽  
pp. 123-134 ◽  
Author(s):  
M. H. Khalil ◽  
J. B. Owen ◽  
E. A. Afifi
Keyword(s):  
Genetic Analysis ◽  
Litter Size ◽  
Litter Weight ◽  
Phenotypic Correlations ◽  
Large Litter ◽  
Litter Traits ◽  
Genetic And Phenotypic Correlations ◽  
Size At Birth

AbstractAn analysis of doe productivity traits was carried out on 884 litter records including 52 sires and 210 daughters (paternal half sisters) of Bauscat (B) and Giza White (G) rabbits. Traits examined included litter size and weight at birth and at weaning, pre-weaning mortality and mean weight of young at weaning. Year-of-kindling affected most litter traits but no pattern of parity effects on litter size and pre-weaning mortality was observed. Litter weight and mean weight of young at weaning generally increased linearly as parity advanced. Litter size and weight and mean weight of young tended to increase as month of kindling advanced from October to March, and to decrease again during April and May. Pre-weaning mortality decreased as month of kindling advanced up to March and increased thereafter during April and May. The sire of the doe affected all litter traits studied, with the exception of litter size at birth and pre-weaning mortality in the B breed. Estimates of heritability for most of the litter traits were moderate or high. Genetic and phenotypic correlations among litter size traits and between litter size and litter weight traits were positive and relatively moderate or large. Litter weight traits were positively correlated both genetically and phenotypically. The genetic and phenotypic correlations between litter size traits and mean weight of young at weaning were negative and relatively moderate or large.

Genetic analysis for farrowing rate and litter size for Landrace and Yorkshire sows in South China

2017 ◽  
Vol 205 ◽  
pp. 50-55 ◽  
Author(s):  
Xiujin Li ◽  
Shuihua Xie ◽  
Xiaohong Liu ◽  
Yaosheng Chen
Keyword(s):  
Genetic Analysis ◽  
Litter Size ◽  
South China ◽  
Farrowing Rate

Genetic Analysis of Litter Size, Mortality and Growth Traits of New Zealand White Rabbits1

1988 ◽  
Vol 4 (2) ◽  
pp. 11-16 ◽  
Author(s):  
Z.B. Johnson ◽  
D.J. Harris ◽  
C.J. Brown ◽  
Will R. Getz ◽  
Robert L. Harrold
Keyword(s):  
New Zealand ◽  
Genetic Analysis ◽  
Litter Size ◽  
Growth Traits

scholarly journals Inheritance of litter size at birth in the Brazilian grass mouse (Akodon cursor, Sigmodontinae, Rodentia)

2002 ◽  
Vol 80 (1) ◽  
pp. 55-62 ◽  
Author(s):  
YU. S. AULCHENKO ◽  
L. O. ARARIPE ◽  
P. S. D'ANDREA ◽  
A. A. SHISHKIN ◽  
R. CERQUEIRA ◽  
...  
Keyword(s):  
Genetic Analysis ◽  
Litter Size ◽  
Significant Influence ◽  
Segregation Analysis ◽  
Genetic Factors ◽  
Major Gene ◽  
Gene Model ◽  
Complex Segregation Analysis ◽  
Size At Birth

By means of complex segregation analysis we studied the inheritance of litter size in two large pedigrees of captive-bred colonies of the Brazilian grass mouse Akodon cursor. Genetic analysis has revealed a highly significant influence of genetic factors on the variation of litter size (heritability, h2, was estimated as 0.44). The inheritance followed the classical polygene model: neither the major-gene model nor the polygene with unequal contribution model described the data significantly better.

scholarly journals Fertility of boars - what is important to know

2017 ◽  
Vol 33 (2) ◽  
pp. 135-149 ◽  
Author(s):  
Radomir Savic ◽  
Raquel Marcos ◽  
Milica Petrovic ◽  
Dragan Radojkovic ◽  
Cedomir Radovic ◽  
...  
Keyword(s):  
Litter Size ◽  
Return Rate ◽  
Low Fertility ◽  
Reproductive Efficiency ◽  
Reproductive Management ◽  
Fertility Traits ◽  
Farrowing Rate ◽  
Sperm Traits

The most important part in reproductive management is the control of boar fertility. A common division of fertility traits is on the: in vitro (sperm traits) and in vivo (return rate, farrowing rate and litter size traits) fertility. In many studies were found differences between breed in the both groups of fertility traits. Variability of sperm traits of boars during the reproductive exploitation is influenced by various genetic (boar, breed) and paragenetic factors/effects (age, season, intensity of use). Good libido is desirable characteristics in boars, but the knowlegde of the correlation of libido and boar fertility traits are limited. Also, there is no standardised procedure or methods for the estimation of libido of the boars. The permanent ranking of boars according to the reproductive efficiency should be performing. Good reproductive management implies the timely identification of boars with the low fertility (or close to the average).

scholarly journals Genetic analysis of litter size in mice

2015 ◽  
Vol 77 (3) ◽  
pp. 353-358 ◽  
Author(s):  
Jun-ichi SUTO
Keyword(s):  
Genetic Analysis ◽  
Litter Size

The impact of puerperal diseases in sows on their fertility and health up to next farrowing

2006 ◽  
Vol 82 (5) ◽  
pp. 701-704 ◽  
Author(s):  
S. Hoy
Keyword(s):  
Mortality Rate ◽  
Litter Size ◽  
Late Onset ◽  
Return Rate ◽  
Lower Mortality ◽  
The Impact

AbstractInvestigations utilizing a total number of 3998 farrowings from 1558 sows on two farms have shown a frequency of puerperal diseases (periparturient hypogalactia syndrome=PHS) of 32·7% and 27·0% respectively with significant differences between gilts and sows. Sows without PHS after farrowing (farm A) had a lower frequency of animals without oestrus after weaning of the piglets (0·3 V. 1·1%), a lower rate of late onset of oestrus (3·4% V. 5·9%, P<0·05), fewer sows had abortions (0·9 V. 2·3%, P<0·05) and a lower mortality rate (1·2 V. 4·1%, P<0·05) compared with sows which contracted puerperal diseases. The return rate was significantly lower in sows without PHS (12·4%, 16·1% in herds A and B) when compared with sows with puerperal diseases (15·8%, 21·7%, P<0·05). Also, the litter size of live born piglets was lower in sows with PHS when compared with healthy sows (farm A: 10·42 V. 10·66, P>0·05; farm B: 10·44 V. 10·80, P<0·05)

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