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Use of logistic models to evaluate the response of superovulation treatment and embryo production in Santa Inês ewes. Trop Anim Health Prod 2022; 54:276. [PMID: 36070151 DOI: 10.1007/s11250-022-03310-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Accepted: 08/31/2022] [Indexed: 10/14/2022]
Abstract
The study aimed to verify the influence of the FecGE mutation in superovulated ewes and to evaluate the probability of logistic models to determine the response capacity of these ewes to superovulatory treatment. Santa Inês ewes (n = 29) were genotyped for the FecGE mutation and separated for their genotype group in carriers of the mutant E allele (FecGE/E, FecG+/E) and non-carrier (FecG+/+) alleles. The ewes underwent hormonal treatment for superovulation. Aside from the genotypes, variables included in the statistical model were reproductive status (empty, early lactation, or late lactation), age (> or < 6 years), and number of births (nulliparous, primiparous, multiparous). The carriers of the mutation could be discriminated from the non-carriers based on the number of corpora lutea, rate of frozen embryos, and fecundity. Recovery rate was significantly higher (P < 0.05) in FecGE/E (94.31%) compared to FecG+/E (63.15%) and FecG+/+ (61.90%) (P < 0.05), whereas fecundity rate of FecG+/+ ewes (50.76%) was significantly higher than FecG+/E (18.96%) and FecGE/E (32.53%) (P < 0.05). We determined in this study that the response to superovulation and embryo production can be discriminated between FecGE/E and FecG+/E ewes in relation to the FecG+/+ genotype. Logistic models that included reproductive status and mutation, or reproductive status and age, or reproductive status and number of births were effective in predicting the response to superovulatory treatment.
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Chaves MS, Azevedo HC, Luz VB, Ferreira-Silva JC, Barros I, Paiva SR, de Olivera Melo E, de Melo Magalhães Padilha D, de Figueirêdo Freitas VJ, Bartolomeu CC, Lemos Oliveira MA. Occurrence, morphology, and morphometry of follicles containing multiple oocytes in FecG E mutant Santa Inês ewes. Anim Reprod Sci 2021; 226:106690. [PMID: 33561808 DOI: 10.1016/j.anireprosci.2021.106690] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2020] [Revised: 12/29/2020] [Accepted: 12/30/2020] [Indexed: 11/16/2022]
Abstract
This study was conducted to characterize the morphology and morphometry of follicles containing multiple oocytes (MOFs) and determine the association with the FecGE mutation in Santa Inês ewes. Based on the genotypes, 65 ewes were characterized as being homozygous wild-type (n = 25; FecG+/+), heterozygous mutant (n = 27, FecG+/E), and homozygous mutant (n = 13, FecGE/E). The variables evaluated were follicle developmental stage, number of oocytes per follicle, morphology, and morphometry of MOFs. The FecGE mutation did not affect the frequency of MOFs (P > 0.05) (3.0 % in FecG+/+; 3.3 % in FecG+/E; and 3.5 % in FecGE/E). The greater viability (P < 0.05) of MOFs was identified in transitory stage of the FecGE/E (95.0 %) and FecG+/E (90.9 %) when compared to the FecG+/+ genotype (73.3 %). Furthermore, the morphology of transitory follicles with two oocytes was the variable and when evaluated was the most reliable determinant for predicting which ewes had an FecGE mutation. In conclusion, the FecGE mutation did not affect the frequency of MOFs. The ewes with FecGE mutation had a greater frequency of morphologically normal MOFs in the transitory stage. Furthermore, the ewes with the FecGE mutation had a greater likelihood of having MOFs containing two morphologically normal oocytes.
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Affiliation(s)
- Maiana Silva Chaves
- Reproductive Biotechniques Laboratory, Federal Rural University of Pernambuco, Street Dom Manuel de Medeiros, s/n - Dois Irmãos, 52171-900, Recife, PE, Brazil
| | - Hymerson Costa Azevedo
- Brazilian Agricultural Research Corporation - Embrapa Tabuleiros Costeiros (Embrapa Coastal Tablelands), Avenida Beira Mar, 3250 Jardins, 49025-040, Aracaju -SE, Brazil.
| | - Valesca Barreto Luz
- University Center Cesmac, Rodovia Divaldo Suruagy, S/N Quadra 4 Lote 4 - Praia do Francês, 57081-350, Marechal Deodoro, AL, Brazil
| | - José Carlos Ferreira-Silva
- Reproductive Biotechniques Laboratory, Federal Rural University of Pernambuco, Street Dom Manuel de Medeiros, s/n - Dois Irmãos, 52171-900, Recife, PE, Brazil
| | - Inácio Barros
- Brazilian Agricultural Research Corporation-Embrapa National Dairy Cattle Research, Street Eugênio do Nascimento, 610 - Dom Bosco, 36038-330, Juiz de Fora, MG, Brazil
| | - Samuel Rezende Paiva
- Brazilian Agricultural Research Corporation-Embrapa/Genetic Resources and Biotechnology, Parque Estação Biológica - PqEB s/nº Avenue W5 Norte, 02372, Brasília, DF, Brazil
| | - Eduardo de Olivera Melo
- Brazilian Agricultural Research Corporation-Embrapa/Genetic Resources and Biotechnology, Parque Estação Biológica - PqEB s/nº Avenue W5 Norte, 02372, Brasília, DF, Brazil; Federal University of Tocantins, Avenue NS-15, Quadra 109, Norte, s/n - Plano Diretor Norte, 77001-090, Palmas, TO, Brazil
| | - Deborah de Melo Magalhães Padilha
- Postgraduate biotechnology, Potiguar University / Laureate International Universities, Avenue Senador Salgado Filho, 1610, Lagoa Nova, Natal, 59056-000, CE, Brazil
| | | | - Cláudio Coutinho Bartolomeu
- Reproductive Biotechniques Laboratory, Federal Rural University of Pernambuco, Street Dom Manuel de Medeiros, s/n - Dois Irmãos, 52171-900, Recife, PE, Brazil
| | - Marcos Antônio Lemos Oliveira
- Reproductive Biotechniques Laboratory, Federal Rural University of Pernambuco, Street Dom Manuel de Medeiros, s/n - Dois Irmãos, 52171-900, Recife, PE, Brazil
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