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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha : |
07/11/2018 |
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Actualizado : |
07/11/2018 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
CHIAIA, H.L.J.; PERIPOLLI, E.; DE OLIVEIRA SILVA, R.M.; FEITOSA, F.L.B.; DE LEMOS, M.V.A.; BERTON, M.P.; OLIVIERI, B.F.; ESPIGOLAN, R.; TONUSSI, R.L.; GORDO, D.G.M.; DE ALBUQUERQUE, L.G.; DE OLIVEIRA, H.N.; FERRINHO, A.M.; MUELLER, L.F.; KLUSKA, S.; TONHATI, H.; PEREIRA, A.S.C.; AGUILAR, I.; BALDI, F. |
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Afiliación : |
HERMENEGILDO LUCAS JUSTINO CHIAIA, Faculdade de Ciências Agrárias e Veterinárias, UNESP, Brazil.; ELISA PERIPOLLI, Faculdade de Ciências Agrárias e Veterinárias, UNESP, Brazil.; RAFAEL MEDEIROS DE OLIVEIRA SILVA, Faculdade de Ciências Agrárias e Veterinárias, UNESP, Brazil.; FABIELE LOISE BRAGA FEITOSA, Faculdade de Ciências Agrárias e Veterinárias, UNESP, Brazil.; MARCOS VINÍCIUS ANTUNES DE LEMOS, Faculdade de Ciências Agrárias e Veterinárias, UNESP, Brazil.; MARIANA PIATTO BERTON, Faculdade de Ciências Agrárias e Veterinárias, UNESP, Brazil.; BIANCA FERREIRA OLIVIERI, Faculdade de Ciências Agrárias e Veterinárias, UNESP, Brazil.; RAFAEL ESPIGOLAN, Faculdade de Ciências Agrárias e Veterinárias, UNESP, Brazil.; RAFAEL LARA TONUSSI, Faculdade de Ciências Agrárias e Veterinárias, UNESP, Brazil.; DANIEL GUSTAVO MANSAN GORDO, Faculdade de Ciências Agrárias e Veterinárias, UNESP, Brazil.; LUCIA GALVÃO DE ALBUQUERQUE, Faculdade de Ciências Agrárias e Veterinárias, UNESP, Brazil.; HENRIQUE NUNES DE OLIVEIRA, Faculdade de Ciências Agrárias e Veterinárias, UNESP, Brazil.; ADRIELLE MATHIAS FERRINHO, Faculdade de Medicina Veterinária e Zootecnia, USP, Brazil.; LENISE FREITAS MUELLER, Faculdade de Zootecnia e Engenharia de Alimentos, USP, Brazil.; SABRINA KLUSKA, Faculdade de Ciências Agrárias e Veterinárias, UNESP, Brazil.; HUMBERTO TONHATI, Faculdade de Ciências Agrárias e Veterinárias, UNESP, Brazil.; ANGÉLICA SIMONE CRAVO PEREIRA, Faculdade de Medicina Veterinária e Zootecnia, USP, Brazil.; IGNACIO AGUILAR GARCIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; FERNANDO BALDI, Faculdade de Ciências Agrárias e Veterinárias, UNESP, Brazil. |
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Título : |
Genomic prediction ability for beef fatty acid profile in Nelore cattle using different pseudo-phenotypes. |
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Fecha de publicación : |
2018 |
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Fuente / Imprenta : |
Journal of Applied Genetics, 1 November 2018, volume 59, Issue 4, pages 493-501. |
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DOI : |
10.1007/s13353-018-0470-5 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received: 15 May 2018 // Revised: 28 August 2018 // Accepted: 17 September 2018. |
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Contenido : |
ABSTRACT.
The aim of the present study was to compare the predictive ability of SNP-BLUP model using different pseudo-phenotypes such as phenotype adjusted for fixed effects, estimated breeding value, and genomic estimated breeding value, using simulated and real data for beef FA profile of Nelore cattle finished in feedlot. A pedigree with phenotypes and genotypes of 10,000 animals were simulated, considering 50% of multiple sires in the pedigree. Regarding to phenotypes, two traits were simulated, one with high heritability (0.58), another with low heritability (0.13). Ten replicates were performed for each trait and results were averaged among replicates. A historical population was created from generation zero to 2020, with a constant size of 2000 animals (from generation zero to 1000) to produce different levels of linkage disequilibrium (LD). Therefore, there was a gradual reduction in the number of animals (from 2000 to 600), producing a ?bottleneck effect? and consequently, genetic drift and LD starting in the generation 1001 to 2020. A total of 335,000 markers (with MAF greater or equal to 0.02) and 1000 QTL were randomly selected from the last generation of the historical population to generate genotypic data for the test population. The phenotypes were computed as the sum of the QTL effects and an error term sampled from a normal distribution with zero mean and variance equal to 0.88. For simulated data, 4000 animals of the generations 7, 8, and 9 (with genotype and phenotype) were used as training population, and 1000 animals of the last generation (10) were used as validation population. A total of 937 Nelore bulls with phenotype for fatty acid profiles (Sum of saturated, monounsaturated, omega 3, omega 6, ratio of polyunsaturated and saturated and polyunsaturated fatty acid profile) were genotyped using the Illumina BovineHD BeadChip (Illumina, San Diego, CA) with 777,962 SNP. To compare the accuracy and bias of direct genomic value (DGV) for different pseudo-phenotypes, the correlation between true breeding value (TBV) or DGV with pseudo-phenotypes and linear regression coefficient of the pseudo-phenotypes on TBV for simulated data or DGV for real data, respectively. For simulated data, the correlations between DGV and TBV for high heritability traits were higher than obtained with low heritability traits. For simulated and real data, the prediction ability was higher for GEBV than for Yc and EBV. For simulated data, the regression coefficient estimates (b(Yc,DGV)), were on average lower than 1 for high and low heritability traits, being inflated. The results were more biased for Yc and EBV than for GEBV. For real data, the GEBV displayed less biased results compared to Yc and EBV for SFA, MUFA, n-3, n-6, and PUFA/SFA. Despite the less biased results for PUFA using the EBV as pseudo-phenotype, the b(Yi,DGV estimates obtained for the different pseudo-phenotypes (Yc, EBV and GEBV) were very close. Genomic information can assist in improving beef fatty acid profile in Zebu cattle, since the use of genomic information yielded genomic values for fatty acid profile with accuracies ranging from low to moderate. Considering both simulated and real data, the ssGBLUP model is an appropriate alternative to obtain more reliable and less biased GEBVs as pseudo-phenotype in situations of missing pedigree, due to high proportion of multiple sires, being more adequate than EBV and Yc to predict direct genomic value for beef fatty acid profile.
© 2018, Institute of Plant Genetics, Polish Academy of Sciences, Poznan. MenosABSTRACT.
The aim of the present study was to compare the predictive ability of SNP-BLUP model using different pseudo-phenotypes such as phenotype adjusted for fixed effects, estimated breeding value, and genomic estimated breeding value, using simulated and real data for beef FA profile of Nelore cattle finished in feedlot. A pedigree with phenotypes and genotypes of 10,000 animals were simulated, considering 50% of multiple sires in the pedigree. Regarding to phenotypes, two traits were simulated, one with high heritability (0.58), another with low heritability (0.13). Ten replicates were performed for each trait and results were averaged among replicates. A historical population was created from generation zero to 2020, with a constant size of 2000 animals (from generation zero to 1000) to produce different levels of linkage disequilibrium (LD). Therefore, there was a gradual reduction in the number of animals (from 2000 to 600), producing a ?bottleneck effect? and consequently, genetic drift and LD starting in the generation 1001 to 2020. A total of 335,000 markers (with MAF greater or equal to 0.02) and 1000 QTL were randomly selected from the last generation of the historical population to generate genotypic data for the test population. The phenotypes were computed as the sum of the QTL effects and an error term sampled from a normal distribution with zero mean and variance equal to 0.88. For simulated data, 4000 animals of the generations 7, 8, and 9 (with genotype a... Presentar Todo |
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Palabras claves : |
BOS INDICUS; GENOMIC PREDICTION; LIPID PROFILE; SINGLE-STEP; SNP-BLUP. |
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Asunto categoría : |
-- |
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Marc : |
LEADER 04880naa a2200421 a 4500
001 1059280
005 2018-11-07
008 2018 bl uuuu u00u1 u #d
024 7 $a10.1007/s13353-018-0470-5$2DOI
100 1 $aCHIAIA, H.L.J.
245 $aGenomic prediction ability for beef fatty acid profile in Nelore cattle using different pseudo-phenotypes.$h[electronic resource]
260 $c2018
500 $aArticle history: Received: 15 May 2018 // Revised: 28 August 2018 // Accepted: 17 September 2018.
520 $aABSTRACT. The aim of the present study was to compare the predictive ability of SNP-BLUP model using different pseudo-phenotypes such as phenotype adjusted for fixed effects, estimated breeding value, and genomic estimated breeding value, using simulated and real data for beef FA profile of Nelore cattle finished in feedlot. A pedigree with phenotypes and genotypes of 10,000 animals were simulated, considering 50% of multiple sires in the pedigree. Regarding to phenotypes, two traits were simulated, one with high heritability (0.58), another with low heritability (0.13). Ten replicates were performed for each trait and results were averaged among replicates. A historical population was created from generation zero to 2020, with a constant size of 2000 animals (from generation zero to 1000) to produce different levels of linkage disequilibrium (LD). Therefore, there was a gradual reduction in the number of animals (from 2000 to 600), producing a ?bottleneck effect? and consequently, genetic drift and LD starting in the generation 1001 to 2020. A total of 335,000 markers (with MAF greater or equal to 0.02) and 1000 QTL were randomly selected from the last generation of the historical population to generate genotypic data for the test population. The phenotypes were computed as the sum of the QTL effects and an error term sampled from a normal distribution with zero mean and variance equal to 0.88. For simulated data, 4000 animals of the generations 7, 8, and 9 (with genotype and phenotype) were used as training population, and 1000 animals of the last generation (10) were used as validation population. A total of 937 Nelore bulls with phenotype for fatty acid profiles (Sum of saturated, monounsaturated, omega 3, omega 6, ratio of polyunsaturated and saturated and polyunsaturated fatty acid profile) were genotyped using the Illumina BovineHD BeadChip (Illumina, San Diego, CA) with 777,962 SNP. To compare the accuracy and bias of direct genomic value (DGV) for different pseudo-phenotypes, the correlation between true breeding value (TBV) or DGV with pseudo-phenotypes and linear regression coefficient of the pseudo-phenotypes on TBV for simulated data or DGV for real data, respectively. For simulated data, the correlations between DGV and TBV for high heritability traits were higher than obtained with low heritability traits. For simulated and real data, the prediction ability was higher for GEBV than for Yc and EBV. For simulated data, the regression coefficient estimates (b(Yc,DGV)), were on average lower than 1 for high and low heritability traits, being inflated. The results were more biased for Yc and EBV than for GEBV. For real data, the GEBV displayed less biased results compared to Yc and EBV for SFA, MUFA, n-3, n-6, and PUFA/SFA. Despite the less biased results for PUFA using the EBV as pseudo-phenotype, the b(Yi,DGV estimates obtained for the different pseudo-phenotypes (Yc, EBV and GEBV) were very close. Genomic information can assist in improving beef fatty acid profile in Zebu cattle, since the use of genomic information yielded genomic values for fatty acid profile with accuracies ranging from low to moderate. Considering both simulated and real data, the ssGBLUP model is an appropriate alternative to obtain more reliable and less biased GEBVs as pseudo-phenotype in situations of missing pedigree, due to high proportion of multiple sires, being more adequate than EBV and Yc to predict direct genomic value for beef fatty acid profile. © 2018, Institute of Plant Genetics, Polish Academy of Sciences, Poznan.
653 $aBOS INDICUS
653 $aGENOMIC PREDICTION
653 $aLIPID PROFILE
653 $aSINGLE-STEP
653 $aSNP-BLUP
700 1 $aPERIPOLLI, E.
700 1 $aDE OLIVEIRA SILVA, R.M.
700 1 $aFEITOSA, F.L.B.
700 1 $aDE LEMOS, M.V.A.
700 1 $aBERTON, M.P.
700 1 $aOLIVIERI, B.F.
700 1 $aESPIGOLAN, R.
700 1 $aTONUSSI, R.L.
700 1 $aGORDO, D.G.M.
700 1 $aDE ALBUQUERQUE, L.G.
700 1 $aDE OLIVEIRA, H.N.
700 1 $aFERRINHO, A.M.
700 1 $aMUELLER, L.F.
700 1 $aKLUSKA, S.
700 1 $aTONHATI, H.
700 1 $aPEREIRA, A.S.C.
700 1 $aAGUILAR, I.
700 1 $aBALDI, F.
773 $tJournal of Applied Genetics, 1 November 2018, volume 59, Issue 4, pages 493-501.
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
15/11/2022 |
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Actualizado : |
15/11/2022 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
Internacional - -- |
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Autor : |
FERNÁNDEZ, E.A.; ROSALES, C.A.; GARZÓN, J. P.; ARGUDO, D.E.; AYALA, L.E.; GUEVARA, G.E.; MALDONADO, J.E.; PEREA, F.P. |
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Afiliación : |
ESTEFANÍA A. FERNÁNDEZ, Facultad de Ciencias Veterinarias, Universidad de Buenos Aires, Argentina; CORNELIO A. ROSALES, Facultad de Ciencias Agropecuarias, Universidad de Cuenca, Ecuador; JUAN PABLO GARZÓN PRADO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; Instituto Nacional de Investigaciones Agropecuarias (INIAP), Est. Exp. del Austro, Azuay, Ecuador; Centro Latinoamericano de Estudios de Problemáticas Lecheras, Santa Fe, Casilda, Argentina; DANIEL E. ARGUDO, Unidad Académica de Ciencias Agropecuarias, Universidad Católica de Cuenca, Ecuador; LUIS E. AYALA, Facultad de Ciencias Agropecuarias, Universidad de Cuenca, Ecuador; GUILLERMO E. GUEVARA, Facultad de Ciencias Agropecuarias, Universidad de Cuenca, Ecuador; JAIME E. MALDONADO, Facultad de Ciencias Agropecuarias, Universidad de Cuenca, Ecuador; FERNANDO P. PEREA, Facultad de Ciencias Agropecuarias, Universidad de Cuenca, Ecuador. |
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Título : |
Morphological and histological characteristics of ovaries from two genetic groups of guinea pigs (Cavia porcellus) from South America. [Características morfológicas e histológicas de los ovarios de dos grupos genéticos de cuyes (Cavia porcellus) de América del Sur]. |
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Complemento del título : |
Sección: Artículos Primarios. |
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Fecha de publicación : |
2022 |
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Fuente / Imprenta : |
Revista de Investigaciones Veterinarias del Perú, 2022, v. 33, n. 4, e23349. OPEN ACCESS. doi: https://doi.org/10.15381/rivep.v33i4.23349 |
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ISSN : |
1682-3419 |
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DOI : |
10.15381/rivep.v33i4.23349 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received January 11, 2022; Accepted for publication July 28, 2022; Published August 31, 2022. -- Publisher: Universidad Nacional Mayor de San Marcos. -- Correspondence author: Perea, F.P.; Facultad de Ciencias Agropecuarias, Universidad de Cuenca, Ecuador; email:fernando.perea@ucuenca.edu.ec --
License: Este artículo es publicado por la Rev Inv Vet Perú de la Facultad de Medicina Veterinaria, Universidad Nacional Mayor de San Marcos. Este es un artículo de acceso abierto, distribuido bajo los términos de la licencia Creative Commons Atribución 4.0 Internacional (CC BY 4.0)
[https://creativecommons.org/licenses/by/4.0/deed.es] que permite el uso, distribución y reproducción en cualquier medio, siempre que la obra original sea debidamente citada de su fuente original. |
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Contenido : |
ABSTRACT.- This study aimed to describe morphological and histological characteristics of ovaries of two genetic groups of guinea pigs from Latin America. Ovaries from 20 improved and 20 native guinea pigs were collected after slaughtering. One ovary from each animal was weighed, measured, counted for visible follicles on the ovarian surface, and used for subsequent oocyte collection by the slicing method. Contralateral ovaries were used to prepare histological sections and quantify follicles. Body and ovary weight and ovary length were significantly greater in improved than in native guinea pigs (p<0.01). Ovarian weight was greater in diestrus than in proestrus (p=0.0632) only in improved animals. The number of primordial, primary, secondary, and total follicles did not differ between genetic groups. The number of antral follicles was significantly greater in improved than in native guinea pigs. The thickness of zona pellucida and oocyte diameter did not differ between groups. The thickness of the zona pellucida was significantly greater in oocytes of category A than B and C in both groups of guinea pigs. In conclusion, ovaries from improved guinea pigs were heavier and longer than those from native animals. The number of antral follicles was greater in improved than native guinea pigs. Zona pellucida thickness and oocyte diameter were similar in both groups of guinea pigs. -.-.-.-.-.-.-.-.-.-.-.-.-.
RESUMEN.- El estudio tuvo como objetivo describir las características morfológicas e histológicas de los ovarios de dos grupos genéticos de cuyes de América Latina. Se recolectaron ovarios de 20 cuyes mejorados y 20 nativos después del sacrificio. Se pesó y midió un ovario de cada animal, se contaron los folículos visibles en la superficie ovárica y se colectaron los ovocitos mediante cortes seriados de la corteza ovárica. Los ovarios contralaterales se utilizaron para preparar cortes histológicos y cuantificar los folículos. El peso corporal y la longitud y peso de los ovarios fueron significativamente mayores en los cuyes mejorados que en los nativos (p<0.01). El peso de los ovarios fue mayor en diestro que en proestro (p=0.0632) en los animales mejorados. El número de folículos primordiales, primarios, secundarios y totales no difirió entre los grupos genéticos. El número de folículos antrales fue significativamente mayor en los cuyes mejorados que en los nativos. El grosor de la zona pelúcida y el diámetro de los ovocitos no difirieron entre los grupos. El grosor de la zona pelúcida fue significativamente mayor en los ovocitos de la categoría A que en los de la B y C en ambos grupos de cuyes. En conclusión, los ovarios de los cuyes mejorados fueron más pesados y largos que los de los animales nativos. El número de folículos antrales fue mayor en los cuyes mejorados que en los nativos. El grosor de la zona pelúcida y el diámetro de los ovocitos fueron similares en ambos grupos de cuyes. © 2022 Universidad Nacional Mayor de San Marcos. All rights reserved. MenosABSTRACT.- This study aimed to describe morphological and histological characteristics of ovaries of two genetic groups of guinea pigs from Latin America. Ovaries from 20 improved and 20 native guinea pigs were collected after slaughtering. One ovary from each animal was weighed, measured, counted for visible follicles on the ovarian surface, and used for subsequent oocyte collection by the slicing method. Contralateral ovaries were used to prepare histological sections and quantify follicles. Body and ovary weight and ovary length were significantly greater in improved than in native guinea pigs (p<0.01). Ovarian weight was greater in diestrus than in proestrus (p=0.0632) only in improved animals. The number of primordial, primary, secondary, and total follicles did not differ between genetic groups. The number of antral follicles was significantly greater in improved than in native guinea pigs. The thickness of zona pellucida and oocyte diameter did not differ between groups. The thickness of the zona pellucida was significantly greater in oocytes of category A than B and C in both groups of guinea pigs. In conclusion, ovaries from improved guinea pigs were heavier and longer than those from native animals. The number of antral follicles was greater in improved than native guinea pigs. Zona pellucida thickness and oocyte diameter were similar in both groups of guinea pigs. -.-.-.-.-.-.-.-.-.-.-.-.-.
RESUMEN.- El estudio tuvo como objetivo describir las características mo... Presentar Todo |
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Palabras claves : |
Cuy; Folículos; Follicles; Morfología del ovario,; Oocytes; Ovary morphology; PLATAFORMA DE INVESTIGACIÓN EN SALUD ANIMAL. |
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Asunto categoría : |
L20 Ecología animal |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/16863/1/Morphological-and-histological-characteristics-of-ovaries-from-two-genetic-groups-of-guinea-pigs-Cavia-porcellus-from-South-America-2022.pdf
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Marc : |
LEADER 05032naa a2200325 a 4500
001 1063740
005 2022-11-15
008 2022 bl uuuu u00u1 u #d
022 $a1682-3419
024 7 $a10.15381/rivep.v33i4.23349$2DOI
100 1 $aFERNÁNDEZ, E.A.
245 $aMorphological and histological characteristics of ovaries from two genetic groups of guinea pigs (Cavia porcellus) from South America. [Características morfológicas e histológicas de los ovarios de dos grupos genéticos de cuyes (Cavia porcellus) de América del Sur].$h[electronic resource]
260 $c2022
500 $aArticle history: Received January 11, 2022; Accepted for publication July 28, 2022; Published August 31, 2022. -- Publisher: Universidad Nacional Mayor de San Marcos. -- Correspondence author: Perea, F.P.; Facultad de Ciencias Agropecuarias, Universidad de Cuenca, Ecuador; email:fernando.perea@ucuenca.edu.ec -- License: Este artículo es publicado por la Rev Inv Vet Perú de la Facultad de Medicina Veterinaria, Universidad Nacional Mayor de San Marcos. Este es un artículo de acceso abierto, distribuido bajo los términos de la licencia Creative Commons Atribución 4.0 Internacional (CC BY 4.0) [https://creativecommons.org/licenses/by/4.0/deed.es] que permite el uso, distribución y reproducción en cualquier medio, siempre que la obra original sea debidamente citada de su fuente original.
520 $aABSTRACT.- This study aimed to describe morphological and histological characteristics of ovaries of two genetic groups of guinea pigs from Latin America. Ovaries from 20 improved and 20 native guinea pigs were collected after slaughtering. One ovary from each animal was weighed, measured, counted for visible follicles on the ovarian surface, and used for subsequent oocyte collection by the slicing method. Contralateral ovaries were used to prepare histological sections and quantify follicles. Body and ovary weight and ovary length were significantly greater in improved than in native guinea pigs (p<0.01). Ovarian weight was greater in diestrus than in proestrus (p=0.0632) only in improved animals. The number of primordial, primary, secondary, and total follicles did not differ between genetic groups. The number of antral follicles was significantly greater in improved than in native guinea pigs. The thickness of zona pellucida and oocyte diameter did not differ between groups. The thickness of the zona pellucida was significantly greater in oocytes of category A than B and C in both groups of guinea pigs. In conclusion, ovaries from improved guinea pigs were heavier and longer than those from native animals. The number of antral follicles was greater in improved than native guinea pigs. Zona pellucida thickness and oocyte diameter were similar in both groups of guinea pigs. -.-.-.-.-.-.-.-.-.-.-.-.-. RESUMEN.- El estudio tuvo como objetivo describir las características morfológicas e histológicas de los ovarios de dos grupos genéticos de cuyes de América Latina. Se recolectaron ovarios de 20 cuyes mejorados y 20 nativos después del sacrificio. Se pesó y midió un ovario de cada animal, se contaron los folículos visibles en la superficie ovárica y se colectaron los ovocitos mediante cortes seriados de la corteza ovárica. Los ovarios contralaterales se utilizaron para preparar cortes histológicos y cuantificar los folículos. El peso corporal y la longitud y peso de los ovarios fueron significativamente mayores en los cuyes mejorados que en los nativos (p<0.01). El peso de los ovarios fue mayor en diestro que en proestro (p=0.0632) en los animales mejorados. El número de folículos primordiales, primarios, secundarios y totales no difirió entre los grupos genéticos. El número de folículos antrales fue significativamente mayor en los cuyes mejorados que en los nativos. El grosor de la zona pelúcida y el diámetro de los ovocitos no difirieron entre los grupos. El grosor de la zona pelúcida fue significativamente mayor en los ovocitos de la categoría A que en los de la B y C en ambos grupos de cuyes. En conclusión, los ovarios de los cuyes mejorados fueron más pesados y largos que los de los animales nativos. El número de folículos antrales fue mayor en los cuyes mejorados que en los nativos. El grosor de la zona pelúcida y el diámetro de los ovocitos fueron similares en ambos grupos de cuyes. © 2022 Universidad Nacional Mayor de San Marcos. All rights reserved.
653 $aCuy
653 $aFolículos
653 $aFollicles
653 $aMorfología del ovario,
653 $aOocytes
653 $aOvary morphology
653 $aPLATAFORMA DE INVESTIGACIÓN EN SALUD ANIMAL
700 1 $aROSALES, C.A.
700 1 $aGARZÓN, J. P.
700 1 $aARGUDO, D.E.
700 1 $aAYALA, L.E.
700 1 $aGUEVARA, G.E.
700 1 $aMALDONADO, J.E.
700 1 $aPEREA, F.P.
773 $tRevista de Investigaciones Veterinarias del Perú, 2022$gv. 33, n. 4, e23349. OPEN ACCESS. doi: https://doi.org/10.15381/rivep.v33i4.23349
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