Genetic and phenotypic parameter estimates for reproduction traits in the Boer dam

Zhang, Chunyan; Chen, Shilin; Li, Xiang; Xu, Deqing; Zhang, Ying; Yang, Liguo

doi:10.1016/j.livsci.2009.03.002

Cited by 52 publications

(42 citation statements)

References 41 publications

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“…The significant effect of year of birth on some traits could be due to differences in management system, feed availability, disease, and climatic condition (rate of rainfall, humidity, and temperature) that affect the quality and quantity of pasture forage and raising systems in different years. The significant effect of breeding years (p < 0.05) on reproduction traits can be attributed to differences in forage availability, management systems, photoperiod, and hormone changes (Zhang et al, 2009). These results were consistent with a report on Sabi sheep by Matika et al (2003).…”

Section: Fixed Effectssupporting

confidence: 91%

“…Both m 2 and c 2 for CR were estimated to be zero. The h 2 estimate of GL was lower than those reported by Zhang et al (2009). A continuous trait with low heritability, such as GL, is affected largely by environmental factors (non-genetic factors), such as: year of breeding, season of breeding, ewe parity, lamb sex, type of lambing, and birth weight of lambs.…”

Section: Reproduction Traitsmentioning

confidence: 62%

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Genetic parameters of live body weight, body measurements, greasy fleece weight, and reproduction traits in Makuie sheep breed

Jafari¹,

Hashemi²,

Darvishzadeh³

et al. 2014

Span. j. agric. res.

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Genetic parameters of production and reproduction traits were estimated using 39,926 records from 5,860 individual progenies of 163 sires and 1,558 dams. The data were collected at Makuie Sheep Breeding and Raising Station (Maku, Iran) from 1989 through 2013. Nineteen traits were classified in four main groups: a) live body weight traits, b) body measurement traits, c) greasy fleece weight traits, and d) reproduction traits. Year of birth, lamb sex, age of dam, and birth type were considered as fixed effects in the animal model. Four different animal models that are differentiated by including or excluding maternal effects were fitted for each trait. The Akaike information criterion was used to determine the most appropriate model for each trait. Parameters were overestimated substantially when maternal effects, either genetic or environmental, were ignored from the models. By ignoring the maternal effects, the traits could be classified into three main groups: body live weight traits with high heritability (0.34-0.46), body measurement and greasy fleece weight traits with medium heritability (0.11-0.27) and reproduction traits with low heritability (0.03-0.20). The genetic correlations among the traits ranged from-0.41 to 0.99. The estimated genetic parameters may be used to set up short/long term breeding program for the selection purpose of Makuie sheep breed.

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Section: Fixed Effectssupporting

confidence: 91%

Section: Reproduction Traitsmentioning

confidence: 62%

Genetic parameters of live body weight, body measurements, greasy fleece weight, and reproduction traits in Makuie sheep breed

Jafari¹,

Hashemi²,

Darvishzadeh³

et al. 2014

Span. j. agric. res.

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“…However, hircine fecundity is relatively low [13], and the trait is difficult to improvement by conventional breeding methods for its low heritability which ranged 0.09 to 0.14 based on the study of Zhang et al [43]. Therefore, researchers pin their hope on molecular assisted breeding technology, and the research of miRNA in reproduction thrived [2, 9, 13, 27, 35].…”

Section: Discussionmentioning

confidence: 99%

Identification and characterization of microRNAs in the ovaries of multiple and uniparous goats (Capra hircus) during follicular phase

et al. 2014

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BackgroundSuperior kidding rate is an important economic trait in production of meat goat, and ovulation rate is the precondition of kidding rate. MicroRNAs (miRNAs) play critical roles in almost all ovarian biological processes, including folliculogenesis, follicle development, follicle atresia, luteal development and regression. To find out the different ovarian activity and follicle recruitment with miRNA-mediated posttranscriptional regulation, the small RNAs expressed pattern in the ovarian tissues of multiple and uniparous Anhui White goats during follicular phase was analyzed using Solexa sequencing data.Results1008 miRNAs co-expressed, 309 and 433 miRNAs specifically expressed in the ovaries of multiple and uniparous goats during follicular phase were identified. The 10 most highly expressed miRNAs in the multiple library were also the highest expressed in the uniparous library, and there were no significantly different between each other. The highest specific expressed miRNA in the multiple library was miR-29c, and the one in the uniparous library was miR-6406. 35 novel miRNAs were predicted in total. GO annotation and KEGG Pathway analyses were implemented on target genes of all miRNA in two libraries. RT-PCR was applied to detect the expression level of 5 randomly selected miRNAs in multiple and uniparous hircine ovaries, and the results were consistent with the Solexa sequencing data.ConclusionsIn the present study, the different expression of miRNAs in the ovaries of multiple and uniparous goats during follicular phase were characterized and investigated using deep sequencing technology. The result will help to further understand the role of miRNAs in kidding rate regulation and also may help to identify miRNAs which could be potentially used to increase hircine ovulation rate and kidding rate in the future.Electronic supplementary materialThe online version of this article (doi:10.1186/1471-2164-15-339) contains supplementary material, which is available to authorized users.

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“…Fecundity has a direct impact on goat production efficiency and is a result of interactions among multiple genes and the environment (Ling et al, ). There has been some progress in characterizing the major genes involved in animal fecundity; few examples include bone morphogenetic protein receptor‐1B (BMPR1B; Davis et al, ; Mulsant et al, ), bone morphogenetic protein‐15 (BMP15; Galloway., 2000; Zhang, Chen, et al, ; Zhang, Gan, et al, ), growth differentiation factor‐9 (GDF9; Hanrahan et al, ) and prolactin receptor (PRLR; Kmiec & Terman, ) genes. Recent studies show that the polymorphism of BMPR1B gene was correlated with litter size of some goat breeds in Egypt, these single nucleotide polymorphisms (SNPs) can be used in a marker‐assisted selection (MAS) for selection for high litter size trait in goats (Helal, Mahboub, Hemeda, Ballal, & Heikal, ).…”

Section: Introductionmentioning

confidence: 99%

Role of mRNAs and long non‐coding RNAs in regulating the litter size trait in Chuanzhong black goats

Lian

Zou

Han

et al. 2020

Reprod Domestic Animals

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Fecundity improvement is one of the most important objectives for goat breeders as it can considerably greatly increase production efficiency. The molecular mechanisms underlying fecundity in goats remain largely unknown. To explore the molecular and genetic mechanisms related to the fecundities and prolificacies in Chuanzhong black goats, we performed high‐throughput RNA sequencing to identify differentially expressed long non‐coding RNAs (lncRNAs) and mRNAs (DElncRNAs and DEmRNAs, respectively) the ovaries of high‐fecundity and low‐fecundity goats; furthermore, we conducted functional annotation analyses to identify pathways of interest. Overall, 1,353 DEmRNAs and 168 DElncRNAs were identified. Quantitative real‐time PCR (qRT‐PCR) was performed to validate some randomly selected DElncRNAs and DEmRNAs. We found that two DElncRNAs ENSCHIT00000005909 and ENSCHIT00000005910 might positively influence the expression of the corresponding gene IL1R2 (upregulated in high‐fecundity group), exerting co‐regulative effects on the ovarian function, through which litter size might show variations. KEGG pathway analysis indicated that the DEmRNAs SRD5A2, LOC102191297 and LOC102171967 were significantly enriched in steroid hormone biosynthesis—this pathway was related to animal reproduction. To summarize, our findings expand the understanding pertaining to the biological functions of lncRNAs and contribute to the annotation of the goat genome; moreover, they should be helpful for further studying the role of lncRNAs in ovulation and lambing.

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Genetic and phenotypic parameter estimates for reproduction traits in the Boer dam

Cited by 52 publications

References 41 publications

Genetic parameters of live body weight, body measurements, greasy fleece weight, and reproduction traits in Makuie sheep breed

Genetic parameters of live body weight, body measurements, greasy fleece weight, and reproduction traits in Makuie sheep breed

Identification and characterization of microRNAs in the ovaries of multiple and uniparous goats (Capra hircus) during follicular phase

Role of mRNAs and long non‐coding RNAs in regulating the litter size trait in Chuanzhong black goats

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