Selection for ovulation rate in rabbits: Genetic parameters and correlated responses on survival rates1

Laborda, Pablo; Mocé, M. L.; Blasco, A.; Santacreu, M. A.

doi:10.2527/jas.2011-4219

Cited by 16 publications

(31 citation statements)

References 29 publications

(49 reference statements)

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“…Little can be said about the correlated responses in RIE and LIE (see P R in Table 4) because of their large HPD 95% interval. It seems that the correlated response in RIE agrees with the genetic trend (0.8 embryos; Laborda et al, 2012). The correlated response in LIE should be taken with caution as it happens with the response in LOR.…”

Section: Number Of Implanted Embryosmentioning

confidence: 56%

“…However, this correlated response was not relevant (P R = 0.17; Table 5). Laborda et al (2012) observed no correlated response estimated with genetic trends in ES because the genetic correlation between OR and ES was close to 0; however, this correlation was estimated with low precision. Responses in FS and PS estimated with the cryopreserved control population were similar to the responses estimated with genetic trends.…”

Section: Survival Ratesmentioning

confidence: 83%

“…The increase in OD together with the absence of embryo uterine transmigration could have caused an associated increase in ID, disfavoring FS and therefore PS in the overcrowded uterine horn. The estimated genetic correlation of OR with ID was positive; however, no correlated response was observed on ID after 10 generations (Laborda et al, 2012). Moreover, the genetic correlation of ID with PS and LS was estimated with low precision, and nothing could be concluded.…”

Section: Number Of Implanted Embryosmentioning

confidence: 86%

“…The correlated response in LIE should be taken with caution as it happens with the response in LOR. Laborda et al (2011Laborda et al ( , 2012 suggested that an increase in OD could have been related to the lacking correlated response in LS in the line selected for OR. The increase in OD together with the absence of embryo uterine transmigration could have caused an associated increase in ID, disfavoring FS and therefore PS in the overcrowded uterine horn.…”

Section: Number Of Implanted Embryosmentioning

confidence: 99%

“…The lack of correlated response in litter size has been associated with an increase in the postimplantation mortality [see Bradford (1969) for mice and Freking et al (2007) for pigs]. Response to selection for ovulation rate in rabbits was assessed in previous studies using predicted genetic trends (Laborda et al, 2011(Laborda et al, , 2012. Predicted genetic trends have the disadvantage of being dependent on the model and on the estimated genetic parameters of the traits analyzed (Sorensen and Johansson, 1992).…”

Section: Introductionmentioning

confidence: 99%

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Selection for ovulation rate in rabbits: Direct and correlated responses estimated with a cryopreserved control population1

Laborda

Santacreu

Blasco

et al. 2012

Journal of Animal Science

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Section: Number Of Implanted Embryosmentioning

confidence: 56%

Section: Survival Ratesmentioning

confidence: 83%

Section: Number Of Implanted Embryosmentioning

confidence: 86%

Section: Number Of Implanted Embryosmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Selection for ovulation rate in rabbits: Direct and correlated responses estimated with a cryopreserved control population1

Laborda

Santacreu

Blasco

et al. 2012

Journal of Animal Science

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A genomewide association study in divergently selected lines in rabbits reveals novel genomic regions associated with litter size traits

Sosa-Madrid

Santacreu

Blasco

et al. 2019

J Animal Breeding Genetics

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Uterine capacity (UC), defined as the total number of kits from unilaterally ovariectomized does at birth, has a high genetic correlation with litter size. The aim of our research was to identify genomic regions associated with litter size traits through a genomewide association study using rabbits from a divergent selection experiment for UC. A high‐density SNP array (200K) was used to genotype 181 does from a control population, high and low UC lines. Traits included total number born (TNB), number born alive (NBA), number born dead, ovulation rate (OR), implanted embryos (IE) and embryo, foetal and prenatal survivals at second parity. We implemented the Bayes B method and the associations were tested by Bayes factors and the percentage of genomic variance (GV) explained by windows. Different genomic regions associated with TNB, NBA, IE and OR were found. These regions explained 7.36%, 1.27%, 15.87% and 3.95% of GV, respectively. Two consecutive windows on chromosome 17 were associated with TNB, NBA and IE. This genomic region accounted for 6.32% of GV of TNB. In this region, we found the BMP4, PTDGR, PTGER2, STYX and CDKN3 candidate genes which presented functional annotations linked to some reproductive processes. Our findings suggest that a genomic region on chromosome 17 has an important effect on litter size traits. However, further analyses are needed to validate this region in other maternal rabbit lines.

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Effect of Embryonic and Maternal Genotype on Embryo and Foetal Survival in Rabbit

Vicente

Llobat

Jiménez-Trigos

et al. 2012

Reprod Domestic Animals

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The aim of this work was to study the influence of embryonic and maternal genotype of two lines of rabbits selected by growth rate (line R) and litter size at weaning (line A) on prenatal survival. Embryos were recovered at 48 h of gestation from R and A donors (39 and 35 does, respectively) and reciprocally transferred to the oviducts of recipient does to the R (n = 15) and A (n = 14) lines. Each recipient doe received six embryos from line R into one oviduct and six embryos from line A into the other. Recipient does were examined by laparoscopy to determine implantation rate on day 14 and slaughtered on day 25 of gestation to determine the number of live foetuses and the weight of foetuses and placentas. No differences were found between lines in fertilization rate and stage of embryo development at 48 h post-insemination. Implantation rate was affected by both the embryonic and maternal genotype. While embryos from donor line A had the highest implantation rate (0.78 ± 0.032 vs 0.65 ± 0.036 for line R), recipient line R had a better implantation rate (0.78 ± 0.033 vs 0.64 ± 0.036 for line A). Foetal survival was affected by the embryonic genotype. Embryos from donor line A had a higher foetal survival rate than embryos from donor line R (0.65 ± 0.036 vs 0.53 ± 0.038, respectively) but lower foetal and placenta weights. In conclusion, while embryonic genotype influenced both implantation and foetal survival rate, R embryos had the lowest rates, maternal genotype affected the implantation rate and R recipients may show a greater uterine receptivity during implantation period. Moreover, it must be observed that foetal and placenta weights were significantly affected by embryonic genotype and heavier for R line.

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Selection for ovulation rate in rabbits: Genetic parameters and correlated responses on survival rates1

Cited by 16 publications

References 29 publications

Selection for ovulation rate in rabbits: Direct and correlated responses estimated with a cryopreserved control population1

Selection for ovulation rate in rabbits: Direct and correlated responses estimated with a cryopreserved control population1

A genomewide association study in divergently selected lines in rabbits reveals novel genomic regions associated with litter size traits

Effect of Embryonic and Maternal Genotype on Embryo and Foetal Survival in Rabbit

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