Genetic description of a divergent selection experiment in Angora rabbits with overlapping generations

Rafat, S. A.; Allain, Daniel; Rochambeau, Hubert de

doi:10.1111/j.1439-0388.2008.00769.x

Cited by 10 publications

(8 citation statements)

References 25 publications

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“…When compared with other commercial breeds of rabbits, the effective size in the present study is found to be much smaller, which can be attributed to the higher rate of inbreeding in the population. The effective size reported in 2 different lines of Angora rabbits ranged from 29 to 47 (Rafat et al, 2009) and in Pannon White rabbits from 37.19 to 91.08 (Nagy et al, 2010). However, this effective size is higher than the value (9.6) reported by Martín de la Rosa et al (2016) in Ibicenco rabbit population.…”

Section: Effective Population Sizementioning

confidence: 61%

“…The mean generation interval presently studied for the whole population of New Zealand White rabbit was 1.49 yr (543 d), which is comparable with earlier reports on rabbit populations. Rafat et al (2009) reported the average generation interval of 1.54 yr (562 d) and 1.64 yr (601 d) for 2 different lines (LL and HL) of Angora rabbits in France. Nagy et al (2010) studied the generation interval on Pannon White rabbits in Hungary and reported the overall mean as 1.211 yr for the whole population.…”

Section: Generation Intervalmentioning

confidence: 99%

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Genetic structure of a small closed population of the New Zealand white rabbit through pedigree analyses

et al. 2018

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The genetic structure of a small population of New Zealand White rabbits maintained at the Sheep Breeding and Research Station, Sandynallah, The Nilgiris, India, was evaluated through pedigree analyses. Data on pedigree information (n=2503) for 18 yr (1995-2012) were used for the study. Pedigree analysis and the estimates of population genetic parameters based on the gene origin probabilities were performed. The analysis revealed that the mean values of generation interval, coefficients of inbreeding and equivalent inbreeding were 1.49 yr, 13.23 and 17.59%, respectively. The proportion of population inbred was 100%. The estimated mean values of average relatedness and individual increase in inbreeding were 22.73 and 3.00%, respectively. The percentage increase in inbreeding over generations was 1.94, 3.06 and 3.98 estimated through maximum generations, equivalent generations and complete generations, respectively. The number of ancestors contributing the majority of 50% genes (fa50) to the gene pool of reference population was only 4, which might have led to reduction in genetic variability and increased the amount of inbreeding. The extent of genetic bottleneck assessed by calculating the effective number of founders (fe) and the effective number of ancestors (fa), as expressed by the fe/fa ratio was 1.1, which is indicative of the absence of stringent bottlenecks. Up to 5th generation, 71.29% pedigree was complete, reflecting the well maintained pedigree records. The maximum known generations were 15, with an average of 7.9, and the average equivalent generations traced were 5.6, indicating a fairly good depth in pedigree. The realized effective population size was 14.93, which is very critical, and with the increasing trend of inbreeding the situation has been assessed as likely to become worse in future. The proportion of animals with the genetic conservation index (GCI) greater than 9 was 39.10%, which can be used as a scale to use such animals with higher GCI to maintain balanced contribution from the founders. From the study, it was evident that the herd was completely inbred, with a very high inbreeding coefficient, and the effective population size was critical. Recommendations were made to reduce the probability of deleterious effects of inbreeding and to improve genetic variability in the herd. The present study can help in carrying out similar studies to meet the demand for animal protein in developing countries.

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Section: Effective Population Sizementioning

confidence: 61%

Section: Generation Intervalmentioning

confidence: 99%

Genetic structure of a small closed population of the New Zealand white rabbit through pedigree analyses

et al. 2018

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“…Moreover, most natural and artificial populations have overlapping generations. In addition, breeding organisations are interested in utilizing overlapping generations (Rafel et al 1990;Rafat et al, 2009). The renewal of the next generation after selection was composed each year of 36 females and 5 males alive at the second harvest in each line.…”

Section: Animals and Experimental Designmentioning

confidence: 99%

A note on divergent selection for total fleece weight in adult Angora rabbits: direct response to selection on total fleece weight at first and second harvest.

Rafat¹,

Thébault²,

Bonnet³

et al. 2010

World rabbit sci.

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In order to explore the genetic variability of wool production and other quantitative traits, an 8-cohort divergent selection experiment for total fl eece weight (TFW) was carried out in French Angora rabbits. Studies were made on the wool production of a total of 669 female rabbits born between 1994 and 2001 and having produced wool from fi rst to 12 th harvests. The aim of the selection experiment was to obtain two divergent lines (low and high) on TFW. From preliminary analysis, the dataset was separated into three subsets according to the harvest number: one for each of the fi rst two harvests and one for the third to the 12 th harvests. In this paper, wool production data of the fi rst and second harvests was analysed separately. Response to selection for total fl eece weight at 3-12 harvest (TFW3-12) on this trait at fi rst and second harvest was the aim of this paper. The second objective was to study the possibility of utilising values of the fi rst or second harvest to estimate breeding values and as selection criteria for total fl eece weight in the French Angora rabbit. Preliminary analysis of the data for non-genetic factors was done by the GLM procedure of SAS. Genetic parameters and breeding value estimates were carried out using a BLUP animal model using ASReml. A linear mixed model for a bivariate analysis of total fl eece weight at fi rst or second harvest and TFW3-12 was used. Heritability estimates of total fl eece weight at fi rst and second harvests were 0.36 and 0.38, respectively, and were similar to that observed at later harvests (0.35). The genetic correlation between TFW3-12 and fl eece weight at fi rst harvest was close to zero indicating that wool production at fi rst harvest is a different trait from that of subsequent harvests. Genetic correlation estimates observed at second harvest were high (0.76) and response to selection at second harvest was similar to that observed for TFW3-12. These observations confi rm that total fl eece weight at fi rst harvest is a different trait from TFW3-12. In French Angora rabbits, the high genetic correlation between TFW3-12 and total fl eece weight at second harvest suggests the possibility of selection at this time for TFW3-12.

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“…For Angora rabbits under the same environmental conditions, gender, body site, and the month of age are closely related to wool bre production [3]. Genetic factors that in uence wool bre production are bre diameter, length, neness, and the bre density [3][4][5][6][7]. The mean hair follicle density depends on the skin area.…”

Section: Introductionmentioning

confidence: 99%

Analysis of histology and long noncoding RNAs involved in the rabbit hair follicle density using RNA sequencing

Ding

Zhao

et al. 2021

Preprint

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Background: Hair follicle density influences wool fibre production, which is one of the most important traits of the Wan strain Angora rabbit. However, molecular mechanisms regulating hair follicle density have remained elusive. Results: In this study, hair follicle density at different body sites of Wan strain Angora rabbits with high and low wool production (HWP and LWP) was investigated by histological analysis. Haematoxylin-eosin staining showed a higher hair follicle density in the skin of the HWP rabbits. The long noncoding RNA (lncRNA) profile was investigated by RNA sequencing, and 50 and 38 differentially expressed (DE) lncRNAs and genes, respectively, were screened between the HWP and LWP groups. A gene ontology analysis revealed that phospholipid, lipid metabolic, apoptotic, lipid biosynthetic, and lipid and fatty acid transport processes were significantly enriched. Potential functional lncRNAs that regulate lipid metabolism, amino acid synthesis, as well as the Janus kinase (JAK)-signal transducer and activator of transcription (STAT) and hedgehog signalling pathways, were identified. Consequently, five lncRNAs (LNC_002171, LNC_000797, LNC_005567, LNC_013595, and LNC_020367) were considered to be potential regulators of hair follicle density and development. Three DE lncRNAs and genes were validated by quantitative real-time polymerase chain reaction (q-PCR). Conclusions: LncRNA profiles provide information on lncRNA expression to improve the understanding of molecular mechanisms involved in the regulation of hair follicle density.

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Genetic description of a divergent selection experiment in Angora rabbits with overlapping generations

Cited by 10 publications

References 25 publications

Genetic structure of a small closed population of the New Zealand white rabbit through pedigree analyses

Genetic structure of a small closed population of the New Zealand white rabbit through pedigree analyses

A note on divergent selection for total fleece weight in adult Angora rabbits: direct response to selection on total fleece weight at first and second harvest.

Analysis of histology and long noncoding RNAs involved in the rabbit hair follicle density using RNA sequencing

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