Curvas de lactancia e identificación QTLs asociados a características productivas en ganado Holando y cruza Holando por Jersey
The general objective of this thesis was the modeling of lactation curves to estimate milk production traits applied to the identification of chromosomal regions and genes associated with these traits, in Holstein and crossbred HolsteinxJersey cows from the central dairy region of the province of Sa...
Guardado en:
| Autor principal: | |
|---|---|
| Otros Autores: | |
| Formato: | Tesis doctoral acceptedVersion |
| Lenguaje: | Español |
| Publicado: |
Facultad de Ciencias Veterinarias
2022
|
| Materias: | |
| Acceso en línea: | http://repositoriouba.sisbi.uba.ar/gsdl/cgi-bin/library.cgi?a=d&c=avaposgra&cl=CL1&d=HWA_6337 http://repositoriouba.sisbi.uba.ar/gsdl/collect/avaposgra/index/assoc/HWA_6337.dir/6337.PDF |
| Aporte de: |
| id |
I28-R145-HWA_6337 |
|---|---|
| record_format |
dspace |
| institution |
Universidad de Buenos Aires |
| institution_str |
I-28 |
| repository_str |
R-145 |
| collection |
Repositorio Digital de la Universidad de Buenos Aires (UBA) |
| language |
Español |
| orig_language_str_mv |
spa |
| topic |
Curva lactancia QTL SNP Asociación genoma completo Genes Leche Curva de lactancia Leche Raza Holando Argentino Raza Jersey Cruzamiento Genes Producción animal |
| spellingShingle |
Curva lactancia QTL SNP Asociación genoma completo Genes Leche Curva de lactancia Leche Raza Holando Argentino Raza Jersey Cruzamiento Genes Producción animal Beribe, María José Curvas de lactancia e identificación QTLs asociados a características productivas en ganado Holando y cruza Holando por Jersey |
| topic_facet |
Curva lactancia QTL SNP Asociación genoma completo Genes Leche Curva de lactancia Leche Raza Holando Argentino Raza Jersey Cruzamiento Genes Producción animal |
| description |
The general objective of this thesis was the modeling of lactation curves to estimate milk production traits applied to the identification of chromosomal regions and genes associated with these traits, in Holstein and crossbred HolsteinxJersey cows from the central dairy region of the province of Santa Fe, Argentina.\nIn Chapter 2, descriptive statistics for fertility and survival were generated to ensure that the estimation\nof productive parameters were reliable, consistent and adequate with the production system under study and avoid distortions in the results of subsequent analyzes. The average age at the first service was 20?3\nmonths (average ? standard deviation), the age at the first conception was 21?4 months and the age at\nthe first calving was 30?4 months. The interval from calving to conception interval had an average\nduration of 139?92 days and the interval between services was 44?32 days. The gestation period had an\naverage duration of 265?49 days and the calving interval was 398?108 days. The average lactation\nlength was 301?129 days and the average longevity of the animals under study was 5.6?2.x years. In Chapter 3, a series of mathematical models to describe the lactation curve for the five productive variables: milk production (PL), protein percentage (PP), protein production (ProdP), fat percentage (PG) and daily fat production (ProdG), were compared. The results showed that the model of random regression using a Legendre polynomial of sixth grade was the best method to model the lactation curves\nfor the five variables evaluated. In Chapter 4, estimates for the production of milk, fat and protein\naccumulated at 305 days and fat and protein content were obtained from the random regression model\nusing a sixth-grade Legendre polynomial. In general, milk production traits were affected by proportion of Holstein, lactation number, and year and season of calving.\nWith these phenotypes, in Chapter 5, a complete genome association study was conducted using 50,000\nSNPs distributed in the bovine genome using mixed linear models, considering the factors that affect\nthe traits studied, population structure and genetic relationships. In this strict context of correction of\nmodels and using the adjustment by multiple comparisons of Bonferroni at genome level, no statistically\nsignificant SNPs were found associated with any of the productive characteristics considered. However,\nusing a less conservative level of significance and inspecting the Quantil-Quantil graphs, 15 SNPs\nassociated with the productive characters evaluated were identified. The analysis made possible to calculate the proportion of phenotypic variance captured by the SNPs, being 0,16 for PL305 and\nProdP305, 0,11 for ProdG305, 0,03 for PGm and 0.09 for PPm. The search for nearby genes was performed according to the gene annotation of the bovine genome corresponding to the UMD3.1 assembly and taking into account the calculated linkage disequilibrium (r2 = 0.22 ± 0.27 at an inter-SNP\ndistance of 25-50Kb). It was found that 11 of the genes identified were associated in previous studies\nwith dairy productive traits (IRS2, VEGFA, TCF7L2, RF00100, DCDC2 and OCA2) and with different\naspects of the mammary gland such as metabolism (IRS2, LIN28A), the development (VEGFA,\nTCF7L2), tissue (LOC525599) and the central ligament (PKHD1). Other genes were associated with |
| author2 |
Carignano, Hugo |
| author_facet |
Carignano, Hugo Beribe, María José |
| format |
Tesis doctoral Tesis doctoral acceptedVersion |
| author |
Beribe, María José |
| author_sort |
Beribe, María José |
| title |
Curvas de lactancia e identificación QTLs asociados a características productivas en ganado Holando y cruza Holando por Jersey |
| title_short |
Curvas de lactancia e identificación QTLs asociados a características productivas en ganado Holando y cruza Holando por Jersey |
| title_full |
Curvas de lactancia e identificación QTLs asociados a características productivas en ganado Holando y cruza Holando por Jersey |
| title_fullStr |
Curvas de lactancia e identificación QTLs asociados a características productivas en ganado Holando y cruza Holando por Jersey |
| title_full_unstemmed |
Curvas de lactancia e identificación QTLs asociados a características productivas en ganado Holando y cruza Holando por Jersey |
| title_sort |
curvas de lactancia e identificación qtls asociados a características productivas en ganado holando y cruza holando por jersey |
| publisher |
Facultad de Ciencias Veterinarias |
| publishDate |
2022 |
| url |
http://repositoriouba.sisbi.uba.ar/gsdl/cgi-bin/library.cgi?a=d&c=avaposgra&cl=CL1&d=HWA_6337 http://repositoriouba.sisbi.uba.ar/gsdl/collect/avaposgra/index/assoc/HWA_6337.dir/6337.PDF |
| work_keys_str_mv |
AT beribemariajose curvasdelactanciaeidentificacionqtlsasociadosacaracteristicasproductivasenganadoholandoycruzaholandoporjersey |
| _version_ |
1766017562754154496 |
| spelling |
I28-R145-HWA_63372022-05-19 The general objective of this thesis was the modeling of lactation curves to estimate milk production traits applied to the identification of chromosomal regions and genes associated with these traits, in Holstein and crossbred HolsteinxJersey cows from the central dairy region of the province of Santa Fe, Argentina.\nIn Chapter 2, descriptive statistics for fertility and survival were generated to ensure that the estimation\nof productive parameters were reliable, consistent and adequate with the production system under study and avoid distortions in the results of subsequent analyzes. The average age at the first service was 20?3\nmonths (average ? standard deviation), the age at the first conception was 21?4 months and the age at\nthe first calving was 30?4 months. The interval from calving to conception interval had an average\nduration of 139?92 days and the interval between services was 44?32 days. The gestation period had an\naverage duration of 265?49 days and the calving interval was 398?108 days. The average lactation\nlength was 301?129 days and the average longevity of the animals under study was 5.6?2.x years. In Chapter 3, a series of mathematical models to describe the lactation curve for the five productive variables: milk production (PL), protein percentage (PP), protein production (ProdP), fat percentage (PG) and daily fat production (ProdG), were compared. The results showed that the model of random regression using a Legendre polynomial of sixth grade was the best method to model the lactation curves\nfor the five variables evaluated. In Chapter 4, estimates for the production of milk, fat and protein\naccumulated at 305 days and fat and protein content were obtained from the random regression model\nusing a sixth-grade Legendre polynomial. In general, milk production traits were affected by proportion of Holstein, lactation number, and year and season of calving.\nWith these phenotypes, in Chapter 5, a complete genome association study was conducted using 50,000\nSNPs distributed in the bovine genome using mixed linear models, considering the factors that affect\nthe traits studied, population structure and genetic relationships. In this strict context of correction of\nmodels and using the adjustment by multiple comparisons of Bonferroni at genome level, no statistically\nsignificant SNPs were found associated with any of the productive characteristics considered. However,\nusing a less conservative level of significance and inspecting the Quantil-Quantil graphs, 15 SNPs\nassociated with the productive characters evaluated were identified. The analysis made possible to calculate the proportion of phenotypic variance captured by the SNPs, being 0,16 for PL305 and\nProdP305, 0,11 for ProdG305, 0,03 for PGm and 0.09 for PPm. The search for nearby genes was performed according to the gene annotation of the bovine genome corresponding to the UMD3.1 assembly and taking into account the calculated linkage disequilibrium (r2 = 0.22 ± 0.27 at an inter-SNP\ndistance of 25-50Kb). It was found that 11 of the genes identified were associated in previous studies\nwith dairy productive traits (IRS2, VEGFA, TCF7L2, RF00100, DCDC2 and OCA2) and with different\naspects of the mammary gland such as metabolism (IRS2, LIN28A), the development (VEGFA,\nTCF7L2), tissue (LOC525599) and the central ligament (PKHD1). Other genes were associated with Fil: Beribe, María José. Universidad de Buenos Aires. Facultad de Ciencias Veterinarias, Buenos Aires, Argentina Carignano, Hugo Facultad de Ciencias Veterinarias López-Villalobos, Nicolás Beribe, María José 2022-03-04 El objetivo general de esta tesis fue la modelación de curvas de lactancia para estimar los rasgos de\nproducción de leche aplicados a la identificación de regiones cromosómicas y genes asociados a dichos\nrasgos, en ganado Holando y cruza HolandoxJersey de la cuenca lechera central de la provincia de Santa\nFe, Argentina. En el capítulo 2 se generaron estadísticas descriptivas de fertilidad y sobrevivencia para garantizar que las estimaciones de parámetros productivos fueran confiables, congruentes y adecuados con el\nsistema productivo bajo estudio y evitar distorsiones en los resultados de los análisis posteriores. Se\nobtuvo que la edad al primer servicio promedio fue de 20?3 meses (promedio?desvío estándar), la edad\na la primera concepción promedio fue de 21?4 meses y la edad al primer parto promedio fue de 30?4\nmeses. El intervalo parto-concepción tuvo una duración promedio de 139?92 días y el intervalo entre servicios fue de 44?32 días. El período de gestación tuvo una duración promedio de 265?49 días y el intervalo entre partos promedio fue de 398?108 días. La duración de la lactancia promedio fue de\n301?129 días y la longevidad promedio de los animales bajo estudio fue de 5,6?2,0 años. En el capítulo 3 se comparó una serie de modelos matemáticos que describen la curva de lactancia para las cinco variables productivas: producción de leche (PL), porcentaje de proteína (PP), producción de proteína (ProdP), porcentaje de grasa (PG) y producción de grasa (ProdG) diarias. Los resultados mostraron que el modelo de regresión aleatoria utilizando un polinomio de Legendre de sexto grado fue el que presentó el mejor desempeño en el ajuste para las cinco variables evaluadas. En el capítulo 4, a partir del modelo de regresión aleatoria utilizando un polinomio de Legendre de sexto grado se\nproporcionaron las estimaciones para la producción de leche, grasa y proteína acumulada a 305 días y el contenido de grasa y proteína. En general, los rasgos de producción de leche se vieron afectados por la proporción de Holstein, el número de lactancia, y el año y la temporada de parto.\nCon estos fenotipos, en el capítulo 5, se realizó un estudio de asociación de genoma completo\nutilizando 50.000 SNPs distribuidos en el genoma bovino mediante modelos lineales mixtos\nconsiderando los factores que afectan a los rasgos estudiados, la estructura poblacional y las relaciones\nde parentesco. En este contexto estricto de corrección de modelos y utilizando el ajuste por\ncomparaciones múltiples de Bonferroni a nivel de genoma, no se encontraron SNPs estadísticamente\nsignificativos asociados a ninguno de los caracteres productivos considerados. Sin embargo, utilizando\nun nivel de significancia menos conservativo e inspeccionando los gráficos Quantil-Quantil, se\nidentificaron 15 SNPs asociados con los caracteres productivos evaluados. El análisis realizado permitió\ncalcular la proporción de variancia fenotípica capturada por los SNPs, siendo de 0,16 para la PL305 y ProdP305, 0,11 para la ProdG305, de 0,03 para el PGm y 0,09 para el PPm. La búsqueda de genes cercanos se realizó según la anotación génica del genoma bovino correspondiente al ensamblado\nUMD3.1 y teniendo en cuenta el desequilibrio de ligamiento calculado para esta población (r\n2 = 0,22 ± 0,27 a una distancia inter-SNP de 25- 50Kb). Se encontró que 11 de los genes identificados fueron application/pdf Curva lactancia QTL SNP Asociación genoma completo Genes Leche spa Universidad de Buenos Aires. Facultad de Ciencias Veterinarias info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-ncnd/2.5/ar/ Curva de lactancia Leche Raza Holando Argentino Raza Jersey Cruzamiento Genes Producción animal Curvas de lactancia e identificación QTLs asociados a características productivas en ganado Holando y cruza Holando por Jersey info:eu-repo/semantics/doctoralThesis info:ar-repo/semantics/tesis doctoral info:eu-repo/semantics/acceptedVersion http://repositoriouba.sisbi.uba.ar/gsdl/cgi-bin/library.cgi?a=d&c=avaposgra&cl=CL1&d=HWA_6337 http://repositoriouba.sisbi.uba.ar/gsdl/collect/avaposgra/index/assoc/HWA_6337.dir/6337.PDF |