Curvas de lactancia e identificación QTLs asociados a características productivas en ganado Holando y cruza HolandoxJersey
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
2020
|
| Materias: | |
| Acceso en línea: | http://repositoriouba.sisbi.uba.ar/gsdl/cgi-bin/library.cgi?a=d&c=avaposgra&cl=CL1&d=HWA_7030 http://repositoriouba.sisbi.uba.ar/gsdl/collect/avaposgra/index/assoc/HWA_7030.dir/7030.PDF |
| Aporte de: |
| id |
I28-R145-HWA_7030 |
|---|---|
| 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 |
Holando argentino Holandoxjersey Lactancia QTL Ciencias Veterinarias |
| spellingShingle |
Holando argentino Holandoxjersey Lactancia QTL Ciencias Veterinarias Beribe, María José Curvas de lactancia e identificación QTLs asociados a características productivas en ganado Holando y cruza HolandoxJersey |
| topic_facet |
Holando argentino Holandoxjersey Lactancia QTL Ciencias Veterinarias |
| 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 of 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 months (average + standard deviation), the age at the first conception was 21+4 months and the age at the first calving was 30+4 months. The interval from calving to conception interval had an average duration of 139+92 days and the interval between services was 44+32 days. The gestation period had an average duration of 265+49 days and the calving interval was 398+108 days. The average lactation length was 301+129 days and the average longevity of the animals under study was 5.6+2.x years.\nIn 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 for the five variables evaluated. In Chapter 4, estimates for the production of milk, fat and protein accumulated at 305 days and fat and protein content were obtained from the random regression model using 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 SNPs distributed in the bovine genome using mixed linear models, considering the factors that affect the traits studied, population structure and genetic relationships. In this strict context of correction of models and using the adjustment by multiple comparisons of Bonferroni at genome level, no statistically significant SNPs were found associated with any of the productive characteristics considered. However, using a less conservative level of significance and inspecting the Quantil-Quantil graphs, 15 SNPs associated 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 ProdP305, 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 distance of 25-50Kb). It was found that 11 of the genes identified were associated in previous studies with dairy productive traits (IRS2, VEGFA, TCF7L2, RF00100, DCDC2 and OCA2) and with different aspects of the mammary gland such as metabolism (IRS2, LIN28A), the development (VEGFA, TCF7L2), tissue (LOC525599) and the central ligament (PKHD1). Other genes were associated with\nsomatic cell count (DCDC2), mastitis (RF00100), reproductive parameters such as resumption of ovulation after calving (OCA2), interval between calving (MAPT), age at first insemination (PKHD1) and bovine diseases such as paratuberculosis (ZDHHC14) and bovine leukosis virus (PKHD1).\nThe estimation of parameters related wtih fertility, longevity and production and composition of the milk of animals of different breeds and crosses of dairy cattle under commercial herds of Argentina provide important information for future studies aiming the incorporating fertility and survival characteristics in a future national dairy breeding program of Argentina. The knowledge of genomic regions and genes related to the production and composition of milk in cattle in Argentina is an important and relevant initial contribution to animal genetic improvement in which the genetic merit of cows and bulls can be predicted through genomic selection. At the same time, it make a contribution towards t a better understanding of the molecular mechanisms underlying the characteristics evaluated. |
| 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 HolandoxJersey |
| title_short |
Curvas de lactancia e identificación QTLs asociados a características productivas en ganado Holando y cruza HolandoxJersey |
| title_full |
Curvas de lactancia e identificación QTLs asociados a características productivas en ganado Holando y cruza HolandoxJersey |
| title_fullStr |
Curvas de lactancia e identificación QTLs asociados a características productivas en ganado Holando y cruza HolandoxJersey |
| title_full_unstemmed |
Curvas de lactancia e identificación QTLs asociados a características productivas en ganado Holando y cruza HolandoxJersey |
| title_sort |
curvas de lactancia e identificación qtls asociados a características productivas en ganado holando y cruza holandoxjersey |
| publisher |
Facultad de Ciencias Veterinarias |
| publishDate |
2020 |
| url |
http://repositoriouba.sisbi.uba.ar/gsdl/cgi-bin/library.cgi?a=d&c=avaposgra&cl=CL1&d=HWA_7030 http://repositoriouba.sisbi.uba.ar/gsdl/collect/avaposgra/index/assoc/HWA_7030.dir/7030.PDF |
| work_keys_str_mv |
AT beribemariajose curvasdelactanciaeidentificacionqtlsasociadosacaracteristicasproductivasenganadoholandoycruzaholandoxjersey |
| _version_ |
1766017567162368000 |
| spelling |
I28-R145-HWA_70302023-03-24 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 of 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 months (average + standard deviation), the age at the first conception was 21+4 months and the age at the first calving was 30+4 months. The interval from calving to conception interval had an average duration of 139+92 days and the interval between services was 44+32 days. The gestation period had an average duration of 265+49 days and the calving interval was 398+108 days. The average lactation length was 301+129 days and the average longevity of the animals under study was 5.6+2.x years.\nIn 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 for the five variables evaluated. In Chapter 4, estimates for the production of milk, fat and protein accumulated at 305 days and fat and protein content were obtained from the random regression model using 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 SNPs distributed in the bovine genome using mixed linear models, considering the factors that affect the traits studied, population structure and genetic relationships. In this strict context of correction of models and using the adjustment by multiple comparisons of Bonferroni at genome level, no statistically significant SNPs were found associated with any of the productive characteristics considered. However, using a less conservative level of significance and inspecting the Quantil-Quantil graphs, 15 SNPs associated 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 ProdP305, 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 distance of 25-50Kb). It was found that 11 of the genes identified were associated in previous studies with dairy productive traits (IRS2, VEGFA, TCF7L2, RF00100, DCDC2 and OCA2) and with different aspects of the mammary gland such as metabolism (IRS2, LIN28A), the development (VEGFA, TCF7L2), tissue (LOC525599) and the central ligament (PKHD1). Other genes were associated with\nsomatic cell count (DCDC2), mastitis (RF00100), reproductive parameters such as resumption of ovulation after calving (OCA2), interval between calving (MAPT), age at first insemination (PKHD1) and bovine diseases such as paratuberculosis (ZDHHC14) and bovine leukosis virus (PKHD1).\nThe estimation of parameters related wtih fertility, longevity and production and composition of the milk of animals of different breeds and crosses of dairy cattle under commercial herds of Argentina provide important information for future studies aiming the incorporating fertility and survival characteristics in a future national dairy breeding program of Argentina. The knowledge of genomic regions and genes related to the production and composition of milk in cattle in Argentina is an important and relevant initial contribution to animal genetic improvement in which the genetic merit of cows and bulls can be predicted through genomic selection. At the same time, it make a contribution towards t a better understanding of the molecular mechanisms underlying the characteristics evaluated. Fil: Beribe, Marïa José. Univerdidad de Buenos Aires. Facultad de Ciencias Veterinarias. Buenos Aires. Argentina Carignano, Hugo Facultad de Ciencias Veterinarias Lopez Villalobos, Nicolás Beribe, María José 2020-04-04 El objetivo general de esta tesis fue la modelación de curvas de lactancia para estimar los rasgos de producción de leche aplicados a la identificación de regiones cromosómicas y genes asociados a dichos rasgos, en ganado Holando y cruza HolandoxJersey de la cuenca lechera central de la provincia de Santa Fe, Argentina.\nEn 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 sistema productivo bajo estudio y evitar distorsiones en los resultados de los análisis posteriores. Se obtuvo que la edad al primer servicio promedio fue de 20+3 meses (promedio + desvío estándar), la edad a la primera concepción promedio fue de 21+4 meses y la edad al primer parto promedio fue de 30+4 meses. 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 301+129 días y la longevidad promedio de los animales bajo estudio fue de 5,6+2,0 años.\nEn 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 proporcionaron 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 utilizando 50.000 SNPs distribuidos en el genoma bovino mediante modelos lineales mixtos considerando los factores que afectan a los rasgos estudiados, la estructura poblacional y las relaciones de parentesco. En este contexto estricto de corrección de modelos y utilizando el ajuste por comparaciones múltiples de Bonferroni a nivel de genoma, no se encontraron SNPs estadísticamente significativos asociados a ninguno de los caracteres productivos considerados. Sin embargo, utilizando un nivel de significancia menos conservativo e inspeccionando los gráficos Quantil-Quantil, se identificaron 15 SNPs asociados con los caracteres productivos evaluados. El análisis realizado permitió calcular 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 UMD3.1 y teniendo en cuenta el desequilibrio de ligamiento calculado para esta población (r2 = 0,22 ± 0,27 a una distancia inter-SNP de 25- 50Kb). Se encontró que 11 de los genes identificados fueron\nx asociados en estudios previos con, rasgos productivos lecheros (IRS2, VEGFA, TCF7L2, RF00100, DCDC2 y OCA2) y con rasgos relacionados de la glándula mamaria tales como procesos metabólicos (IRS2, LIN28A), desarrollo (VEGFA, TCF7L2), el tejido (LOC525599) y el ligamento central (PKHD1). Otros genes fueron asociados con el recuento de células somáticas (DCDC2), la mastitis (RF00100), parámetros reproductivos como la reanudación de la ovulación después del parto (OCA2), intervalo entre partos (MAPT), edad a la primera inseminación (PKHD1) y enfermedades bovinas tales como la paratuberculosis (ZDHHC14) y el virus de la leucosis bovina (PKHD1).\nLa estimación de parámetros relacionados con la fertilidad, longevidad y producción y composición de la leche de animales de diferentes razas y cruzas, explotados en tambos comerciales de la Argentina son valiosos para estudios futuros enfocados a incorporar caracteristicas de fertilidad y sobrevivencia en un programa nacional de mejoramiento genético lechero de Argentina.\nEl conocimiento de regiones genómicas y genes relacionados con la producción y composición de la leche en ganado de la Argentina, es un aporte inicial relevante y pertinente al mejoramiento genético animal en el cual se predice el mérito genético individual mediante la selección genómica y al mismo tiempo permiten una mejor entendimiento de los mecanismo moleculares subyacentes a las características evaluadas. application/pdf Holando argentino Holandoxjersey Lactancia QTL spa Universidad de Buenos Aires. Facultad de Ciencias Veterinarias info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nend/2.5/ar/ Ciencias Veterinarias Curvas de lactancia e identificación QTLs asociados a características productivas en ganado Holando y cruza HolandoxJersey 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_7030 http://repositoriouba.sisbi.uba.ar/gsdl/collect/avaposgra/index/assoc/HWA_7030.dir/7030.PDF |