Análise genética da probabilidade diária de postura em três linhagens de codornas

Detalhes bibliográficos
Autor(a) principal: Conti, Ana Carolina Müller
Data de Publicação: 2007
Tipo de documento: Dissertação
Idioma: por
Título da fonte: Repositório Institucional da Universidade Estadual de Maringá (RI-UEM)
Texto Completo: http://repositorio.uem.br:8080/jspui/handle/1/1675
Resumo: The objective of this work was to estimate genetic and residual (co)variance components as well as to investigate the existence of the genotype environment interaction, in three lines of laying quails under two feeding types: high and low energy. The posture control was daily accomplished until to the 90th day starting from the first egg laying in each line. The daily egg production data were used to fit a polynomial regression for each animal, using the method of Linear Models Generalized, using the software GLIM 4.0, and assuming that it is a binomial distribution and logit link function. For the genetic analyses the parameters of the individual production curves were considered as biological traits under a multi-trait animal model. The residual and genetic variance components were estimated using the software MTGSAM. In two-trait analyzes the heritability estimative for b0 were 0.031, 0.009 and 0.387, and for b1: 0.091, 0.763 and 0.443 for lines 1, 2 and 3, respectively. The genetic correlation between b0 and b1 was 0.88; -0.113 and -0.984 for the lines 1, 2 and 3, respectively. To produce genetic improvement, the selection should be based on the b1 in lines 2 and 3, and due to genetic correlation among the parameters, in those two lines, to be negative; it will also have improvement genetic in the parameter b0. Besides, these results indicate differentiation between lines that can be explored in genetic improvement programs. In the four-trait analyzes, which the performance in different environments is considered as different traits, the heritability estimated for b0 in the environment 1, for lines 1, 2 and 3 were, respectively: 0.003, 0.002 and 0.282, and for b1: 0.065, 0.034 and 0.379; for b0 in the environment 2: 0.003, 0.004 and 0.442 and for b1 0.048, 0.514 and 0.502. In a general way the heritability was higher in the environment 2, indicating that a selection program would be more efficient if performed in this environment. The genetic correlations between the environments for b0 were: 0.255, 0.234 and 0.987 and for b1 0.408, 0.294 and 0.928 for lines 1, 2 and 3, respectively. These results indicated a strong genotype by environment interaction in lines 1 and 2. In line 3 the selection can be practiced in the environment of higher energy and the progenies reared in other environment, without damages in the expression of the eggs production curve. Already for lines 1 and 2 the progeny should be reared in the same environment that the parents were selected.
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spelling Análise genética da probabilidade diária de postura em três linhagens de codornasCodornaHerdabilidadeInteração genótipoOvosBrasil.QuailHeritabilityGenotypeEggsBrazilCiências AgráriasZootecniaThe objective of this work was to estimate genetic and residual (co)variance components as well as to investigate the existence of the genotype environment interaction, in three lines of laying quails under two feeding types: high and low energy. The posture control was daily accomplished until to the 90th day starting from the first egg laying in each line. The daily egg production data were used to fit a polynomial regression for each animal, using the method of Linear Models Generalized, using the software GLIM 4.0, and assuming that it is a binomial distribution and logit link function. For the genetic analyses the parameters of the individual production curves were considered as biological traits under a multi-trait animal model. The residual and genetic variance components were estimated using the software MTGSAM. In two-trait analyzes the heritability estimative for b0 were 0.031, 0.009 and 0.387, and for b1: 0.091, 0.763 and 0.443 for lines 1, 2 and 3, respectively. The genetic correlation between b0 and b1 was 0.88; -0.113 and -0.984 for the lines 1, 2 and 3, respectively. To produce genetic improvement, the selection should be based on the b1 in lines 2 and 3, and due to genetic correlation among the parameters, in those two lines, to be negative; it will also have improvement genetic in the parameter b0. Besides, these results indicate differentiation between lines that can be explored in genetic improvement programs. In the four-trait analyzes, which the performance in different environments is considered as different traits, the heritability estimated for b0 in the environment 1, for lines 1, 2 and 3 were, respectively: 0.003, 0.002 and 0.282, and for b1: 0.065, 0.034 and 0.379; for b0 in the environment 2: 0.003, 0.004 and 0.442 and for b1 0.048, 0.514 and 0.502. In a general way the heritability was higher in the environment 2, indicating that a selection program would be more efficient if performed in this environment. The genetic correlations between the environments for b0 were: 0.255, 0.234 and 0.987 and for b1 0.408, 0.294 and 0.928 for lines 1, 2 and 3, respectively. These results indicated a strong genotype by environment interaction in lines 1 and 2. In line 3 the selection can be practiced in the environment of higher energy and the progenies reared in other environment, without damages in the expression of the eggs production curve. Already for lines 1 and 2 the progeny should be reared in the same environment that the parents were selected.O objetivo desse trabalho foi estimar os componentes de (co)variância genética e residual, bem como investigar a existência da interação genótipo ambiente em três linhagens de codornas de postura submetidas a dois tipos de alimentação: alta e baixa energia. O controle de postura foi realizado diariamente até o 90º dia a partir da postura do primeiro ovo, sendo realizado o mesmo procedimento para cada linhagem. Os dados de postura foram utilizados para ajustar uma regressão polinomial para cada ave, usando se o método de Modelos Lineares Generalizados, utilizando o software GLIM 4.0, admitindo-se distribuição binomial e função de ligação logit. Para as análises genéticas os parâmetros das curvas de produção individuais foram considerados como variáveis biológicas e avaliadas por meio de modelos animais multi-características. Foram feitas as estimações dos componentes de variância genética aditiva e residual, por meio do software MTGSAM. Na analise bicarater, as herdabilidades estimadas para b0 foram 0,031; 0,009 e 0,387, e para b1: 0,091; 0,763 e 0,443 para as linhagens 1, 2 e 3, respectivamente. A correlação genética entre os dois parâmetros foi de 0,88; -0,113 e -0,984 para as linhagens 1, 2 e 3, respectivamente.. Para obter os ganhos genéticos, a seleção deve ser baseada no b1 nas linhagens 2 e 3, e devido a correlação genética entre os parâmetros nessas duas linhagens ter sido negativa, haverá também ganho genético no parâmetro b0. Além disso, estes resultados indicam diferenciação entre as linhagens, o que pode ser explorado em programas de melhoramento genético. Na análise tetracarater, na qual a performance de genótipos em diferentes ambientes é considerada como outra característica, as herdabilidades estimadas para b0 no ambiente 1 foram: 0,003; 0,002 e 0,282, e para b1: 0,065; 0,034 e 0,379; para b0 no ambiente 2: 0,003; 0,004 e 0,442 e para b1 0,048; 0,514 e 0,502 para as linhagens 1 2 e 3, respectivamente. De forma geral a herdabilidade foi maior no ambiente 2, indicando que um programa de seleção seria mais eficiente se realizada nesse ambiente. As correlações genéticas entre os ambientes para b0 foram: 0,255; 0,234 e 0,987 e para b1 0,408; 0,294 e 0,928 para as linhagens 1, 2 e 3, respectivamente. Indicando existência de interação x genótipo ambiente nas linhagens 1 e 2. Na linhagem 3, a seleção pode ser praticada no ambiente de maior energia e a progênie criada em outro ambiente sem que haja prejuízos na expressão das características da curva de produção de ovos. Já para as linhagens 1 e 2 é recomendável que a progênie seja criada no mesmo ambiente nos quais os pais foram selecionados, para que se obtenha o ganho genético esperado.xv, 44 fUniversidade Estadual de MaringáBrasilPrograma de Pós-Graduação em ZootecniaUEMMaringá, PRCentro de Ciências AgráriasElias Nunes MartinsEduardo Shiguero Sakaguti - UEMEliane Gasparino - UEMConti, Ana Carolina Müller2018-04-06T18:16:38Z2018-04-06T18:16:38Z2007info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesishttp://repositorio.uem.br:8080/jspui/handle/1/1675porinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da Universidade Estadual de Maringá (RI-UEM)instname:Universidade Estadual de Maringá (UEM)instacron:UEM2018-04-06T18:16:38Zoai:localhost:1/1675Repositório InstitucionalPUBhttp://repositorio.uem.br:8080/oai/requestopendoar:2024-04-23T14:54:39.644560Repositório Institucional da Universidade Estadual de Maringá (RI-UEM) - Universidade Estadual de Maringá (UEM)false
dc.title.none.fl_str_mv Análise genética da probabilidade diária de postura em três linhagens de codornas
title Análise genética da probabilidade diária de postura em três linhagens de codornas
spellingShingle Análise genética da probabilidade diária de postura em três linhagens de codornas
Conti, Ana Carolina Müller
Codorna
Herdabilidade
Interação genótipo
Ovos
Brasil.
Quail
Heritability
Genotype
Eggs
Brazil
Ciências Agrárias
Zootecnia
title_short Análise genética da probabilidade diária de postura em três linhagens de codornas
title_full Análise genética da probabilidade diária de postura em três linhagens de codornas
title_fullStr Análise genética da probabilidade diária de postura em três linhagens de codornas
title_full_unstemmed Análise genética da probabilidade diária de postura em três linhagens de codornas
title_sort Análise genética da probabilidade diária de postura em três linhagens de codornas
author Conti, Ana Carolina Müller
author_facet Conti, Ana Carolina Müller
author_role author
dc.contributor.none.fl_str_mv Elias Nunes Martins
Eduardo Shiguero Sakaguti - UEM
Eliane Gasparino - UEM
dc.contributor.author.fl_str_mv Conti, Ana Carolina Müller
dc.subject.por.fl_str_mv Codorna
Herdabilidade
Interação genótipo
Ovos
Brasil.
Quail
Heritability
Genotype
Eggs
Brazil
Ciências Agrárias
Zootecnia
topic Codorna
Herdabilidade
Interação genótipo
Ovos
Brasil.
Quail
Heritability
Genotype
Eggs
Brazil
Ciências Agrárias
Zootecnia
description The objective of this work was to estimate genetic and residual (co)variance components as well as to investigate the existence of the genotype environment interaction, in three lines of laying quails under two feeding types: high and low energy. The posture control was daily accomplished until to the 90th day starting from the first egg laying in each line. The daily egg production data were used to fit a polynomial regression for each animal, using the method of Linear Models Generalized, using the software GLIM 4.0, and assuming that it is a binomial distribution and logit link function. For the genetic analyses the parameters of the individual production curves were considered as biological traits under a multi-trait animal model. The residual and genetic variance components were estimated using the software MTGSAM. In two-trait analyzes the heritability estimative for b0 were 0.031, 0.009 and 0.387, and for b1: 0.091, 0.763 and 0.443 for lines 1, 2 and 3, respectively. The genetic correlation between b0 and b1 was 0.88; -0.113 and -0.984 for the lines 1, 2 and 3, respectively. To produce genetic improvement, the selection should be based on the b1 in lines 2 and 3, and due to genetic correlation among the parameters, in those two lines, to be negative; it will also have improvement genetic in the parameter b0. Besides, these results indicate differentiation between lines that can be explored in genetic improvement programs. In the four-trait analyzes, which the performance in different environments is considered as different traits, the heritability estimated for b0 in the environment 1, for lines 1, 2 and 3 were, respectively: 0.003, 0.002 and 0.282, and for b1: 0.065, 0.034 and 0.379; for b0 in the environment 2: 0.003, 0.004 and 0.442 and for b1 0.048, 0.514 and 0.502. In a general way the heritability was higher in the environment 2, indicating that a selection program would be more efficient if performed in this environment. The genetic correlations between the environments for b0 were: 0.255, 0.234 and 0.987 and for b1 0.408, 0.294 and 0.928 for lines 1, 2 and 3, respectively. These results indicated a strong genotype by environment interaction in lines 1 and 2. In line 3 the selection can be practiced in the environment of higher energy and the progenies reared in other environment, without damages in the expression of the eggs production curve. Already for lines 1 and 2 the progeny should be reared in the same environment that the parents were selected.
publishDate 2007
dc.date.none.fl_str_mv 2007
2018-04-06T18:16:38Z
2018-04-06T18:16:38Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://repositorio.uem.br:8080/jspui/handle/1/1675
url http://repositorio.uem.br:8080/jspui/handle/1/1675
dc.language.iso.fl_str_mv por
language por
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Universidade Estadual de Maringá
Brasil
Programa de Pós-Graduação em Zootecnia
UEM
Maringá, PR
Centro de Ciências Agrárias
publisher.none.fl_str_mv Universidade Estadual de Maringá
Brasil
Programa de Pós-Graduação em Zootecnia
UEM
Maringá, PR
Centro de Ciências Agrárias
dc.source.none.fl_str_mv reponame:Repositório Institucional da Universidade Estadual de Maringá (RI-UEM)
instname:Universidade Estadual de Maringá (UEM)
instacron:UEM
instname_str Universidade Estadual de Maringá (UEM)
instacron_str UEM
institution UEM
reponame_str Repositório Institucional da Universidade Estadual de Maringá (RI-UEM)
collection Repositório Institucional da Universidade Estadual de Maringá (RI-UEM)
repository.name.fl_str_mv Repositório Institucional da Universidade Estadual de Maringá (RI-UEM) - Universidade Estadual de Maringá (UEM)
repository.mail.fl_str_mv
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