Submitted by Luciana Ferreira (lucgeral@gmail.com) on 2018-11-27T11:35:22Z No. of bitstreams: 2 Tese - Renata Cristina Alvares - 2015.pdf: 6545735 bytes, checksum: 57eee901abeda481f65a8b76157955fc (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) / Approved for entry into archive by Luciana Ferreira (lucgeral@gmail.com) on 2018-11-27T12:04:54Z (GMT) No. of bitstreams: 2 Tese - Renata Cristina Alvares - 2015.pdf: 6545735 bytes, checksum: 57eee901abeda481f65a8b76157955fc (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) / Made available in DSpace on 2018-11-27T12:04:54Z (GMT). No. of bitstreams: 2 Tese - Renata Cristina Alvares - 2015.pdf: 6545735 bytes, checksum: 57eee901abeda481f65a8b76157955fc (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) Previous issue date: 2015-03-31 / Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPES / The breeding of common bean cultivars with Carioca grain, slow grain darken-ing, upright plant architecture, and high yield has become a growing challenge. Slow grain darkening will increase the storage time, providing flexibility for producers for the time of sale, and consequently increasing profitability. Studies have demonstrated the existence of genetic variability for this trait, allowing the selection of lines with slow grain darkening. The objectives of this study were i) to estimate genetic and phenotypic parameters of lines of four segregating common bean populations; ii) select those with slow grain darkening, upright plant architecture and high yield; iii) seek an association between slow darkening and cooking time of grains after storage; iv) evaluate two induction methods of grain dark-ening and v) validate the markers Pvsd-1158 and PVM02TC116, associated with grain darkening. The tested lines were derived from four segregating populations resulting from crosses between the cultivar BRSMG Madrepérola with slow grain darkening and the par-ents BRS Estilo, BRS Cometa, BRS Notável, and CNFC 10429. Three trials were installed with 220 lines (55 per population), and 5 parents in a 5x15 triple lattice design, with plots of two 3-m rows, at three locations. The experiments were conducted in the winter grow-ing season 2012, one in Santo Antônio de Goiás and two in Brasilia. The traits grain yield, plant architecture, grain darkening, 100-grain weight, and cooking time were evaluated. The variance components and genetic and phenotypic parameters were estimated, and the phenotypic, genetic and environmental correlation coefficients between grain darkening and cooking time, 90 and 180 days after harvest. Induction methods of accelerated and slow darkening were compared. From the markers Pvsd- 1158 and PVM02TC116, identi-fied as previously linked to the gene that controls grain darkening, the frequency of recom-bination and selection efficiency of the markers was estimated for each population and environment and in the mean of the environments. For slow grain darkening, the estimates of heritability, genetic variance and expected gain with selection were high, indicating good chances of successful selection. For yield, plant architecture and commercial grain size, the estimates of heritability and genetic variance were high, but indicated no high gains with simultaneous selection. Lines with slow grain darkening were obtained from the four populations; the highest number of lines that combined slow darkening with upright plant architecture, high yield, and commercial grain size were derived from the crosses BRSMG Madrepérola x BRS Estilo and BRSMG Madrepérola x BRS Cometa. No im-portant genetic correlation between grain darkening and cooking time was identified, there-fore, light-colored grains do not indicate a short cooking time. The induction methods of slow and accelerated darkening, provide similar information in the discrimination of lines with slow and regular darkening. The estimates of the recombination frequency for marker Pvsd-1158 were always low, indicating the close linkage of this marker to the gene that controls slow darkening, and were stable in the different environments and populations. Marker PVM02TC116 however was not polymorphic in three of the four populations. The recombination frequency of this marker in the polymorphic population was high, showing that it is unsuitable for marker-assisted selection for grain darkening. / A obtenção de cultivares de feijoeiro-comum de grãos carioca que associem escurecimento lento dos grãos, arquitetura ereta e alta produtividade é uma demanda cres-cente para os melhoristas. O escurecimento lento de grãos permitirá aumentar o tempo de armazenamento, proporcionando aos produtores flexibilidade no momento de venda e, consequentemente, maior lucratividade. Estudos têm demostrado a existência de variabili-dade genética para este caráter, possibilitando a seleção de linhagens com escurecimento lento de grãos. Os objetivos do presente trabalho foram i) estimar os parâmetros genéticos e fenotípicos de linhagens obtidas de quatro populações segregantes de feijoeiro-comum; ii) selecionar linhagens que associem escurecimento lento dos grãos, arquitetura de plantas ereta e alta produtividade; iii) verificar a existência de associação entre o escurecimento lento e o tempo de cocção dos grãos, após o armazenamento, iv) avaliar dois métodos de indução do escurecimento dos grãos; e v) validar os marcadores SSR Pvsd-1158 e PVM02TC116, associados ao escurecimento dos grãos. As linhagens avaliadas foram ori-undas de quatro populações segregantes, derivadas do cruzamento entre a cultivar de escu-recimento lento dos grãos BRSMG Madrepérola e os genitores BRS Estilo, BRS Cometa, BRS Notável e CNFC 10429. Foram instalados três ensaios com 220 linhagens, sendo 55 de cada população, e os cinco genitores, em delineamento experimental látice 15x15, com parcelas de duas linhas de três metros em três locais. Os experimentos foram realizados na safra de inverno/2012, sendo um em Santo Antônio de Goiás e outros dois em Brasília. Os caracteres avaliados foram produtividade de grãos, arquitetura de plantas, escurecimento de grãos, massa de cem grãos e tempo de cocção. Foram estimados componentes de vari-ância, parâmetros genéticos e fenotípicos e coeficientes de correlação fenotípica, genética e ambiental entre o escurecimento de grãos e tempo de cocção aos 90 e aos 180 dias após a colheita. Foi realizada a comparação entre os métodos de indução de escurecimento acele-rado e prolongado. A partir dos marcadores Pvsd-1158 e PVM02TC116, identificados co-mo previamente ligados ao gene que controla o escurecimento dos grãos, estimou-se a fre-quência de recombinação e a eficiência de seleção dos marcadores para cada população em cada ambiente. Para escurecimento lento dos grãos as estimativas de herdabilidade, variân-cia genética e ganho esperado com a seleção foram elevadas, indicando boa possibilidade de sucesso com a seleção. Para produtividade, arquitetura de plantas e tamanho comercial dos grãos, as estimativas de herdabilidade e variância genética foram elevadas, no entanto, não evidenciou altos ganhos com a seleção simultânea. As quatro populações possibilitaram a obtenção de linhagens com escurecimento lento dos grãos, sendo BRSMG Madrepé-rola x BRS Estilo e BRSMG Madrepérola x BRS Cometa as que forneceram maior número de linhagens que associaram o escurecimento lento com arquitetura ereta, alta produtivida-de e tamanho comercial de grãos. Não foi identificada correlação genética importante entre o escurecimento e tempo de cocção dos grãos, portanto, grãos claros não são indicativo de baixo tempo de cocção. Os métodos de indução ao escurecimento, prolongado e acelerado, permitem discriminar as linhagens que possuem escurecimento lento e normal e fornecem informações semelhantes. As estimativas de frequência de recombinação para o marcador Pvsd- 1158 foram sempre baixas, indicando que o marcador é intimamente ligado ao gene que controla escurecimento lento, sendo estável nos diferentes ambientes e populações. Já o marcador PVM02TC116 não se mostrou polimórfico em três das quatro populações, para a população polimórfica, apresentou elevada frequência de recombinação, sendo, pois, inadequado para utilização da seleção assistida para escurecimento dos grãos.

Objetivou-se com o presente estudo foram caracterizar e definir ambientes homogêneos de produção de bovinos de corte compostos no Brasil com relação às variáveis climáticas e geográficas, utilizando técnicas exploratórias multivariadas. Verificar a presença de interação genótipo-ambiente (GxE) nas características peso ao nascimento (PN), peso a desmama (PD), ganho de peso da desmama ao sobreano (GP), perímetro escrotal (PE) e musculosidade (MUS). Pela análise de agrupamento não-hierárquico foram agrupadas as regiões similares com relação às variáveis ambientais. Foram formados seis grupos de fazendas. A inclusão do efeito de interação touro-grupo foi avaliada em análises uni-característica. Comparou-se um modelo com o efeito de interação touro-grupo com outro sem esse efeito. Incluir o efeito de interação touro-GEO no modelo de avaliação genética do PN, PD e PE não resultou melhor ajuste aos dados, no entanto não deve ser descartada a hipótese de se considerar outros tipos de efeitos de GxE. Foram estimados parâmetros genéticos por meio de análises multi-característica, considerando-se a mesma característica como diferente em cada grupo de fazendas. Foi verificada heterogeneidade de variância para todas as características. Os coeficientes de herdabilidade nos grupos de fazendas para PN, PD, GP, PE e MUS variaram de 0,15 a 0,25; 0,16 a 0,25; 0,10 a 0,20; 0,17 a 0,31 e 0,17 a 0,24, respectivamente. As correlações genéticas variaram de 0,19 a 0,90 para PN, -0,02 a 0,92 para PD, 0,31 a 0,93 para GP, 0,64 a 0,89 para PE e de 0,18 a 0,80 para MUS nos grupos fazendas. As diferentes estimativas de herdabilidade obtidas entre grupos de fazendas implicam resposta à seleção diferenciada conforme o ambiente em que os animais são criados e selecionados. Pelas correlações genéticas entre as características nas diversas regiões, constatou-se GxE, indicando que os melhores reprodutores para uma determinada região não são sempre os mesmos para as demais. Um modelo hierárquico de norma de reação sob abordagem Bayesiana também foi utilizado para estimação dos componentes de variância, parâmetros genéticos e verificação da existência de GxE. Os gradientes ambientais baseados nas soluções para o efeito de grupo de contemporâneos para PN, PD, GP e PE foram -6,45 a +4,75 kg, -65 a +65 kg, -72 a +112 kg e -6.5 a +5.5 cm, respectivamente. As estimativas de herdabilidade foram crescentes no gradiente ambiental, PN (0,04 a 0,55), PD (0,39 a 0,47), GP (0,01 a 0,43) e PE (0,21 a 0,23). A correlação entre o nível e a inclinação da norma de reação para PN e GP foi de alta magnitude, indicando que os animais de maior valor genético médio foram os que apresentaram maior resposta à melhoria das condições ambientais, caracterizando o efeito de escala da GxE. Para PD e PE, a correlação entre intercepto e inclinação foi baixa implicando reclassificação dos animais em ambientes diferentes. O modelo hierárquico de normas de reação foi útil para descrever alterações nos componentes de variância decorrentes do ambiente e para descrever a presença de GxE nas características estudadas de bovinos compostos. Existe variação genética com respeito à sensibilidade dos animais, o que possibilita a seleção de genótipos mais plásticos ou mais robustos. / The objectives of this study were to characterize and define homogenous production environments of composite beef cattle in Brazil in terms of climatic and geographic variables using multivariate exploratory techniques; to evaluate the presence of genotype by environment interaction (GxE) for birth weight (BW), weaning weight (WW), postweaning gain (PWG), scrotal circumference (SC) and muscling. Nonhierarchical cluster analysis was used to group farms located in regions with similar environmental variables into clusters. Six clusters of farms were formed. The effect of sire-cluster interaction was tested by single-trait analysis. The inclusion of sire-cluster interaction in the genetic evaluation model may not result in better fit to the data for BW, WW and SC. Genetic parameters were estimated by multiple-trait analysis considering the same trait to be different in each cluster. The heritability coefficient in the clusters for BW, WW, PWG, SC and muscling ranged from 0.15 to 0.25; 0.16 to 0.25; 0.10 to 0.20; 0.17 to 0.31 and 0.17 to 0.24, respectively. The genetic correlations ranged from 0.19 to 0.90 for BW, -0.02 to 0.92 for WW, 0.31 to 0.93 for PWG, 0.64 a 0.89 for SC and 0.18 to 0.80 for muscling in the clusters of farms. The different heritability estimates between groups of farms indicates that the response to selection varies with the environment in which animals are selected. The low genetic correlations between traits in the different regions demonstrated the presence of GxE, indicating that the best sires in a certain region are not the same for the other regions. A reaction norm hierarchical model using Bayesian approach was also used for estimation of variance components, genetic parameters and to verify the existence of GxE. Environmental gradients based in solutions for the effect of contemporary groups for BW, WW, PWG and SC were -6.45 to +4.75 kg, -65 kg to +65, -72 to +112 kg and -6.5 to +5.5 cm, respectively. Heritability estimates were increasing in the environmental gradient, BW (0.04 to 0.55), WW (0.39 to 0.47), PWG (0.01 to 0.43) and SC (0.21 to 0.23). The correlation between the level and slope of reaction norm for BW and PWG was of high magnitude, indicating that animals of higher average breeding value were the ones which presented a best response to environmental improvement, characterizing a scale effect on GxE. For WW and SC, the correlation between intercept and slope was low implying reranking of animals in different environments. The reaction norm hierarchical model has been useful to describe changes in the variance components due to the environment and to describe the presence of GxE traits in composite beef cattle. There is genetic variation with respect to the sensitivity of the animals, which enables the selection of genotypes most plastics or more robust.

O elevado valor sócioeconômico da soja é atribuído, em grande parte, à combinação muito favorável de altos teores de proteína e óleo, juntamente com níveis adequados de produtividade de grãos. Porém, existe uma alta correlação negativa entre os teores de proteína e óleo, fato que dificulta o melhoramento simultâneo destes caracteres. Além disso, também existe tendência de correlação negativa e moderada entre o teor de proteína e a produtividade de grãos. Existem evidências de que a seleção para densidade da semente pode promover ganhos indiretos simultâneos no teor de proteína e na produtividade de grãos. Assim, os principais objetivos deste trabalho foram: a) estimar parâmetros genéticos relacionados com a herança da densidade da semente; b) avaliar a eficiência da seleção para densidade da semente no melhoramento do teor de proteína e da produtividade de grãos. Para o estudo de herança foram utilizados quatro cruzamentos diferentes: USP98-06.011.10 x Abura, MSOY 8001 x Abura, USP98-06.027.03 x Biloxi e USP98-06.009.01 x PI 239.235, sendo que os parentais e as plantas F2 foram avaliados durante a safra 2006/07. Já para avaliar as respostas correlacionadas à seleção para densidade da semente foram delineados três experimentos distintos: Experimento Inicial, no qual foram avaliadas 520 progênies F7:6, durante a safra 2005/06; Experimento Densidade, em que foram avaliadas 100 progênies F8:6 selecionadas para densidade da semente; Experimento Alimentos, em que foram avaliadas 100 progênies F8:6 selecionadas para soja tipo alimento. Os dois últimos experimentos foram realizados durante a safra 2006/07, e as progênies avaliadas neles foram selecionadas dentre as 520 progênies F7:6 do Experimento Inicial. Os resultados permitiram chegar as seguintes conclusões: a) existe ampla variabilidade genética para densidade da semente; b) a herdabilidade no sentido amplo para este caráter é baixa quando estimada na geração F2, mas em geração avançada de endogamia atinge valor alto; c) a herança genética é aditiva e, assim, o caráter não manifesta heterose; d) existe correlação moderada e positiva da densidade da semente com a produtividade de grãos e o teor de proteína e, por outro lado, a correlação entre a densidade da semente e o teor de óleo é negativa; e) é possível identificar genótipos tipo alimento com médias altas de produtividade de grãos e teor de proteína; f) a seleção para aumentar a densidade da semente é eficiente no melhoramento simultâneo do teor de proteína e da produtividade de grãos, permitindo a obtenção de genótipos com alta produtividade de proteína; g) a seleção para reduzir a densidade da semente não promove aumentos significativos do teor de óleo. / The high socioeconomic importance of soybean is mainly attributed to its much favorable combination of high protein and oil contents, together with appropriate levels of seed yield. However, there is a high negative correlation between protein and oil contents, fact that difficult the simultaneous breeding of these traits. Besides, also there is tendency of negative and moderate correlation between protein content and seed yield. There are evidences that the selection for seed density can promote indirect responses in protein content and seed yield, simultaneously. The main objectives of this work were: a) to estimate genetic parameters related to inheritance of seed density; b) to evaluate the efficiency of selection for seed density in breeding protein content and seed yield. In the inheritance study, four different crosses were used: USP98-06.011.10 x Abura, M-SOY 8001 x Abura, USP98-06.027.03 x Biloxi e USP98-06.009.01 x PI 239.235. The parents and F2 plants were evaluated during the 2006/07 season. For evaluating the correlated responses to selection for seed density three different experiments were designed: the Initial Experiment, in which were evaluated 520 F7:6 progenies, during the 2005/06 season; the Seed Density Experiment, in that were evaluated 100 F8:6 progenies selected for seed density; and the Food Soybean Experiment, in that were evaluated 100 F8:6 progenies selected for food type soybean. The last two experiments were accomplished during the 2006/07 season, and the progenies were selected among the 520 F7:6 progenies of the Initial Experiment. The results allowed the following conclusions: a) there is genetic variability for seed density; b) the broad sense heritability for seed density is low in F2 and high in advanced generations; c) the genetic inheritance is additive, because this, there is no heterosis for seed density; d) there is moderate and positive correlation of seed density with seed yield and protein content, but the correlation between seed density and oil content is negative; e) is possible to identify food type genotypes with high means of seed yield and protein content; f) the selection to increase seed density is efficient in breeding protein content and seed yield simultaneously, obtaining genotypes with high protein yield; g) the selection to reduce seed density promote no significant increases of oil content.

Submitted by Gabriela Lopes (gmachadolopesufpel@gmail.com) on 2017-03-06T16:25:25Z No. of bitstreams: 2 license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) Dissertação_Mauricio_Ferrari.pdf: 1308879 bytes, checksum: 47b7ba5b511198a17226bd8456ede375 (MD5) / Approved for entry into archive by Aline Batista (alinehb.ufpel@gmail.com) on 2017-03-09T20:22:03Z (GMT) No. of bitstreams: 2 Dissertação_Mauricio_Ferrari.pdf: 1308879 bytes, checksum: 47b7ba5b511198a17226bd8456ede375 (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) / Made available in DSpace on 2017-03-09T20:22:03Z (GMT). No. of bitstreams: 2 Dissertação_Mauricio_Ferrari.pdf: 1308879 bytes, checksum: 47b7ba5b511198a17226bd8456ede375 (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) Previous issue date: 2017-02-07 / Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPES / No melhoramento genético de milho, a seleção precoce de progênies é uma etapa minuciosa e demanda critérios rigorosos do melhorista. Neste sentido, a utilização de técnicas biométricas auxilia na avaliação das constituições genéticas. Dessa forma, o objetivo deste trabalho é estimar e identificar associações fenotípicas, genéticas e de ambiente em progênies S1, assim como estimar a herdabilidade e quantificar a variância genética por meio de análises multivariadas em progênies S1 provenientes de populações crioulas de milho cultivadas na região Sul do Rio Grande do Sul. O experimento foi conduzido na área experimental do Centro de Genômica e Fitomelhoramento, da Universidade Federal de Pelotas, localizada no Centro Agropecuário da Palma, no munícipio de Capão do Leão – RS, sob as coordenadas geográficas: latitude 31°45’ S, longitude 52°29’ O, com altitude média de 13 metros. O delineamento experimental utilizado foi de blocos aumentados, com dez grupos de progênies S1, e duas testemunhas comerciais, os híbridos simples Pioneer 30F53 e Agroeste 1590, alocados em quatro repetições. As progênies S1 foram obtidas após a autofecundação de plantas aleatórias nas populações crioulas de milho. Sendo estas: Amarelão, Argentino Branco, Argentino Amarelo, Branco Roxo Índio, Branco Oito Carreiras, Caiano Rajado, Cateto Branco, Criolão e Dente de Ouro, e da variedade de polinização aberta (VPA) BRS Planalto. Em cada progênie S1 foram avaliadas 40 plantas. Os caracteres avaliados foram: Altura de Inserção da espiga (AE): Altura de Planta (AP); Diâmetro do colmo (DC): Comprimento da haste principal do pendão (CHP): Número de ramificações primárias do pendão (NRP): Número de dias para o florescimento (NDF): Comprimento da espiga (CE): Diâmetro da Espiga (DE): Massa da espiga (ME): Profundidade dos grãos (PFG). Realizou-se a análise de correlação fenotípica, genotípica e de ambiente, de parâmetros genéticos e distância genética. O comprimento da espiga possui correlação fenotípica e genética forte e positiva com a massa da espiga, e pode ser utilizado para seleção indireta de progênies S1 com maior massa de espiga, independentemente da origem de formação das progênies. Para as demais associações, as progênies S1 apresentam correlações genéticas e fenotípicas específicas tanto em sentido como em magnitude, dificultando a definição de estratégias abrangentes de seleção indireta baseada na correlação entre caracteres. As progênies S1 Caiano Rajado, Criolão, Branco Roxo Índio, BRS Planalto, Dente de Ouro, Amarelão e Branco Oito Carreiras possuem padrões de herdabilidade semelhantes para os caracteres estudados. Os caracteres profundidade de grão e altura de inserção da espiga expressam as maiores estimativas de herdabilidade no sentido amplo. As progênies S1 provenientes de populações crioulas de milho apresentam variabilidade genética para os caracteres de importância agronômicos estudados. / In maize genetic breeding, early progeny selection is a meticulous step, and it demands rigorous criteria from the breeder. In this sense, the use of biometric techniques assists on evaluating genetic constitutions. Therefore, the aim of this work is to estimate and identify phenotypic, genetic and environmental associations in S1 progenies, as well as to estimate heritability and to quantify the genetic variance through multivariate analyzes of S1 progenies from landrace maize populations grown in southern Rio Grande do Sul. The experiment was conducted at the experimental area of the Center of Genomics and plant breeding of the Federal University of Pelotas, located in the Palma Agricultural Center, city of Capão do Leão-RS, with geographic coordinates: 31°45’ S latitude, 52°29’ O longitude, and average altitude of 13 meters. The experimental design used was augmented blocks with ten S1 progeny groups and two commercial controls, the single cross hybrids Pioneer 30F53 and Agroeste 1590, allocated in four repetitions. The S1 progenies were obtained after self-fertilization of random plants in the landrace maize populations. Being these: Amarelão, Argentino Branco, Argentino Amarelo, Branco Roxo Índio, Branco Oito Carreiras, Caiano Rajado, Cateto Branco, Criolão and Dente de Ouro, and the open pollinated variety (OPV) BRS Planalto. 40 plants were evaluated in each S1 progeny. The evaluated characters were: Spike Insertion Height (SH); Plant Height (PH); Stem Diameter (SD), Main Tassel Stem Length (TSL); Number of Primary Ramifications of the Tassel (NPR); Number of Days for Flowering (NDF); Spike Length (SL); Spike Diameter (SD); Spike Mass (SM); Grains Depth (GD). The analysis of phenotypic, genotypic and environmental correlation of genetic parameters and genetic distance was performed. Spike length presented a strong and positive genetic and phenotypic correlation with spike mass, and may be used for indirect selection of greater spike mass S1 progenies, regardless the progeny origin. For the other associations, S1 progenies present specific genetic and phenotypic correlations in both sense and magnitude, making it difficult to define indirect selection strategies based on correlation between characters. The S1 progenies Caiano Rajado, Criolão, Branco Roxo Índio, BRS Planalto, Dente de Ouro, Amarelão and Branco Oito Carreiras present similar heritability patterns for the characters in study. The characters grain depth and spike insertion height express the largest estimates of heritability in the broad sense. The S1 progenies from landrace maize populations present genetic variability for the agronomic traits studied.

<p>Within the last few decades, swine breeding programs have been refined to include pork quality and novel carcass traits alongside growth, feed efficiency, and carcass leanness in the selection programs for terminal sire lines with a goal to produce high quality and efficient pork product for consumers. In order to accurately select for multiple traits at once, it becomes imperative to explore their genetic and biological architecture. The genetic architecture of traits can be explored through the estimation of genetic parameters, genome-wide association studies (GWAS), gene networks and metabolic pathways. An alternative approach to explore the genetic and biological connection between traits is based on principal component analysis (PCA), which generates novel “pseudo-phenotypes” and biological types (biotypes). In this context, the main objective of this thesis was to understand the genetic and biological relationship between three growth, eight conventional carcass, 10 pork quality, and 18 novel carcass traits included in two studies. The phenotypic data set included 2,583 records from female Duroc pigs from a terminal sire line. The pedigree file contained 193,764 animals and the genotype file included 21,344 animals with 35,651 single nucleotide polymorphisms (SNPs). The results of the first study indicate that genetic progress can be achieved for all 39 traits. In general, the heritability estimates were moderate, while most genetic correlations were generally moderate to high and favorable. Some antagonisms were observed but those genetic correlations were low to moderate in nature. Thus, these relationships can be considered when developing selection indexes. The second study showed that there are strong links between traits through their principal components (PCs). The main PCs identified are linked to biotypes related to growth, muscle and fat deposition, pork color, and body composition. The PCs were also used as pseudo-phenotypes in the GWAS analysis, which identified important candidate genes and metabolic pathways linked to each biotype. All of this evidence links valuable variables such as belly, color, marbling, and leanness traits. Our findings greatly contribute to the optimization of genetic and genomic selection for the inclusion of valuable and novel traits to improve productive efficiency, novel carcass, and meat quality traits in terminal sire lines.<br></p><p></p>

A rich diversity of social behaviours exists in the animal kingdom, and these behaviours have evolved to perform a variety of adaptive functions. Social behaviours show variation both among and within species, however the mechanisms that give rise to this variation are not well understood. Using fruit flies (Drosophila melanogaster), my goal was to uncover the genetic and behavioural mechanisms that underpin natural variation in two different social behaviours: sociability and sexual aggression. First, I showed that sociability, which is the tendency of animals to engage in friendly activities together, is influenced by indirect genetic effects (IGEs), and that encounters among individuals drive these effects (Chapter 2). I then showed that sociability and social plasticity have low-moderate heritability (Chapter 3), and sociability is not correlated between the sexes or with activity. I then generated lineages of flies with high and low sociability using artificial selection (Chapter 4). The evolved lineages had significantly diverged sociability which was not associated with fitness measures or nearest-neighbor distances, but was negatively correlated with intrasexual aggression (Chapter 4). Finally, in sexual aggression, which I quantified as male forced copulation rate, I showed that evolved differences and differences due to social plasticity were both associated with the differential expression of many genes, but only a few of these genes were significant in both (Chapter 5). I also showed that these sets of genes are enriched in neuropeptide hormone and serotonin gene ontology categories, and that 4 of 7 chosen genes were validated for their effects on sexual aggression. Overall, this thesis sheds light on the complex mechanisms that underlie variation in these social behaviours, and it paves the way for future research to further elucidate some of these mechanisms, especially on the genetic basis of sociability using the evolved lineages I generated. / Thesis / Doctor of Philosophy (PhD) / Individual animals tend to vary in many traits including social behaviours. Using fruit flies, my goal was to understand what causes individuals to vary in two social behaviours: sociability and sexual aggression. I found that highly sociable flies tended to influence other flies to become more sociable due to a change in how much these flies interacted. I also found that individual differences in sociability are moderately heritable, and the genetic variation contributing to this is different between the sexes. Also, less sociable flies tended to be more aggressive than highly sociable flies. Finally, for sexual aggression, I showed that variation in a male’s success in forcibly mating with a female was associated with changes in the expression of hundreds of genes, but these changes were mostly unique for evolved versus environmentally induced variation. Future work will similarly look to identify genes involved with individual differences in sociability.

Tesis por compendio / [ES] El análisis del control genético del hospedador sobre su microbiota ha sido señalado recientemente como un tema prometedor en diferentes campos de estudio. La relación entre el holobionte hospedador-microbioma y los fenotipos en el ganado lechero podría conducir a nuevos conocimientos en los programas de selección genética. Dentro de esta tesis doctoral, se realizó la estimación y análisis a través de diferentes enfoques estadísticos con el objetivo de desentrañar el control genético del hospedador sobre la microbiota en ganado lechero. Además, se analizó el rasgo de concentración de metano como un fenotipo potencial para ser incluido en el programa de mejora de ganado lechero español. Mayor abundancia relativa de la mayoría de los eucariotas (principalmente protozoos ciliados y hongos) y algunas arqueas (Methanobrevibacter spp. Methanothermus spp. y Methanosphaera spp.) fueron factores de riesgo para ser clasificadas en la categoría alta. Se propuso un conjunto de modelos de ecuaciones estructurales (SEM) de tipo recursivo dentro de un marco de Cadenas de Markov Monte Carlo (MCMC) para analizar conjuntamente la relación hospedador-metagenoma-fenotipo. Se estableció un modelo bivariado no-recursivo como punto de referencia. La heredabilidad de CH4 se estimó en 0,12 ± 0,01 en ambos modelos, recursivo y no recursivo. Asimismo, las estimaciones de heredabilidad para la abundancia relativa de los taxones se superpusieron entre los modelos y variaron entre 0.08 y 0.48. Las correlaciones genéticas entre la composición microbiana y el CH4 variaron de -0,76 a 0,65 en el modelo bivariado no recursivo y de -0,68 a 0,69 en el modelo recursivo. Doce matrices de relación de microbiota (K) fueron construidas a partir de diferentes métricas de distancia del microbioma, con el objetivo de comparar su desempeño dentro de un marco de estimación de componentes de varianza para CH4 y toda la microbiota. Análisis de simulación (n = 1000) y datos reales fueron desarrollados considerando cuatro modelos posibles: un modelo genómico aditivo (GBLUP), un modelo de microbioma (MBLUP), un modelo de efectos genéticos y microbioma (HBLUP) y un modelo de efectos de interacción genético, microbioma y genético × microbioma (HiBLUP). Un nuevo término "Holobiabilidad" fue definido para referirse a la proporción de la varianza atribuible a los efectos del holobionte hospedador-microbioma. Las estimaciones a partir de datos reales usando HiBLUP variaron dependiendo de la K utilizada y estuvieron entre 0.15-0.17, 0.15-0.21 y 0.42-0.59 para heredabilidad, microbiabilidad y holobiabilidad, respectivamente. El conjunto de datos de microbioma fue agregado a través de análisis de componentes principales (PCA), en pocos componentes principales (PCs) que fueron utilizados como aproximaciones del metagenoma central. Parte de la variabilidad condensada en estos PC está controlada por el genoma de la vaca, con estimaciones de heredabilidad para el primer PC (PC1) de ~ 0,30 en todos los niveles taxonómicos, con una gran probabilidad (> 83%) de que la distribución posterior sea > 0,20 y con un intervalo de mayor densidad posterior al 95% (95% HPD) no conteniendo cero. La mayoría de las estimaciones de correlación genética entre PC1 y metano fueron grandes (>0,70) en todos los niveles taxonómicos, con la mayor parte de la distribución posterior (> 82%) siendo > 0,50 y con su 95% HPD no conteniendo cero. Estos resultados sugieren que todo el metagenoma del rumen regula recursivamente las emisiones de metano en las vacas lecheras, y que tanto el CH4 como las composiciones de la microbiota están parcialmente controladas por el genotipo del hospedador. Las variables agregadas (PC) propuestas podrían ser usadas en programas de mejora de animales para reducir las emisiones de metano en las generaciones futuras. / [CA] L'anàlisi del control genètic de l'hoste sobre la seva microbiota s'ha assenyalat recentment com un tema prometedor en diferents camps d'estudi. La relació entre el holobiont hoste-microbioma i els fenotips en bovins de llet podria conduir a nous coneixements en els programes de cria. Dins d'aquest doctorat es van realitzar tesis, estimacions i anàlisis mitjançant diferents enfocaments estadístics amb l'objectiu de desentranyar el control genètic de l'hoste sobre la microbiota en bestiar lleter. A més, es va analitzar el tret de concentració de metà com a fenotip potencial a incloure en el programa espanyol de cria de bestiar lleter. La major abundància relativa de la majoria dels eucariotes (principalment protozous i fongs ciliats) i algunes arquees (Methanobrevibacter spp. Methanothermus spp i Methanosphera spp.) Van ser factors de risc per classificar-se en les categories altes. Es va proposar un conjunt de models d'equacions estructurals (SEM) de tipus recursiu dins d'un marc de cadena Markov Monte Carlo (MCMC) per analitzar conjuntament la relació hoste-metagenoma-fenotip. Es van establir models no recursius com a referència. L'heretabilitat del CH4 es va estimar en 0,12 ± 0,01 en ambdós models, recursius i no recursius. De la mateixa manera, les estimacions d'heretabilitat de l'abundància relativa dels tàxons es van superposar entre models i van oscil·lar entre 0,08 i 0,48. Les correlacions genètiques entre la composició microbiana i el CH4 van oscil·lar entre -0,76 i 0,65 en els models bivariables no recursius i de -0,68 a 0,69 en els models recursius. Dotze matrius de relació de microbiota (K) de diferents mètriques de distància de microbiomes, amb l'objectiu de comparar el seu rendiment dins d'un marc d'estimació de components de variància per CH4 i anàlisi de microbiomes sencers en simulació (n = 1000, 25 rèpliques) i es van realitzar dades reals , considerant quatre possibles models: un model genòmic additiu (GBLUP), un model de microbioma (MBLUP), un model d'efectes genètics i microbiomes (HBLUP) i un model d'efectes d'interacció genètics, microbiomes i genètics × microbiomes (HiBLUP). Es va definir un nou terme "Holobiabilitat" per referir-se a la proporció de la variància fenotípica atribuïble als efectes holobiont del microbioma host. Les estimacions de dades reals mitjançant HiBLUP van variar en funció de la K utilitzada i van oscil·lar entre 0,15-0,17, 0,15-0,21 i 0,42-0,59 per heretabilitat, microbiabilitat i holobiabilitat, respectivament. El conjunt de dades de microbiomes es va agregar mitjançant l'anàlisi de components principals (PCA) en pocs components principals (PC) que es van utilitzar com a proxies del metagenoma principal. Part de la variabilitat condensada en aquestes PC està controlada pel genoma de la vaca, amb estimacions d'heretabilitat per a la primera PC (PC1) de ~ 0,30 a tots els nivells taxonòmics, amb una gran probabilitat (> 83%) de la distribució posterior> 0,20 i amb un 95% més alt interval de densitat posterior (95% HPD) que no conté zero. La majoria de les estimacions de correlació genètica entre PC1 i metà eren grans (>0,70) en tots els nivells taxonòmics, amb una gran part de la distribució posterior (> 82%)> 0,50 i amb un 95% de HPD que no contenia zero. Aquests resultats suggereixen que tot el metagenoma del rumen regula recursivament les emissions de metà en vaques lleteres i que tant el CH4 com les composicions de microbiota estan parcialment controlades pel genotip de l'hoste. Les variables agregades proposades (PC) es podrien utilitzar en programes de cria d'animals per reduir les emissions de metà en les generacions futures. / [EN] The analysis of the host genetic control over its microbiota has recently been pointed out as a promising theme in different fields of study. The relationship between the host-microbiome holobiont and phenotypes in dairy cattle could lead to new insights in breeding programs. Within this Ph.D. thesis, estimation and analysis through different statistical approaches were performed aiming to unravel the host genetic control over the microbiota in dairy cattle. Besides, methane concentration trait was analyzed as a potential phenotype to be included in the Spanish dairy cattle breeding program. Higher relative abundance of most eukaryotes (mainly ciliate protozoa and fungi) and some archaea (Methanobrevibacter spp. Methanothermus spp and Methanosphera spp.) were risk factors for being classified in the high categories. a set of structural equation models (SEMs) of a recursive type within a Markov chain Monte Carlo (MCMC) framework was proposed to jointly analyze the host-metagenome-phenotype relationship. Non-recursive models were set as benchmark. Heritability of CH4 was estimated at 0.12 ± 0.01 in both, the recursive and non-recursive, models. Likewise, heritability estimates for the relative abundance of the taxa overlapped between models and ranged between 0.08 and 0.48. Genetic correlations between the microbial composition and CH4 ranged from -0.76 to 0.65 in the non-recursive bivariate models and from -0.68 to 0.69 in the recursive models. Regardless of the statistical model used, positive genetic correlations with methane were estimated consistently for the 7 genera pertaining to the Ciliophora phylum, as well as for those genera belonging to the Euryarchaeota (Methanobrevibacter sp.), Chytridiomycota (Neocallimastix sp.) and Fibrobacteres (Fibrobacter sp.) phyla. Twelve microbiota relationship matrices (K) from different microbiome distance metrics were built, aiming to compare its performance within a variance component estimation framework for CH4 and whole microbiome analysis on simulation (n = 1000, 25 replicates) and real data were performed, considering four possible models: an additive genomic model (GBLUP), a microbiome model (MBLUP), a genetic and microbiome effects model (HBLUP) and a genetic, microbiome and genetic × microbiome interaction effects model (HiBLUP). A new term "Holobiability" was defined to refer to the proportion of the phenotypic variance attributable to the host-microbiome holobiont effects. Estimates from real data using HiBLUP varied depending on the K used and ranged between 0.15-0.17, 0.15-0.21 and 0.42-0.59 for heritability, microbiability and holobiability, respectively. The microbiome dataset was aggregated through Principal Component Analysis (PCA) into few principal components (PCs) that were used as proxies of the core metagenome. Part of the variability condensed in these PCs is controlled by the cow genome, with heritability estimates for the first PC (PC1) of ~0.30 at all taxonomic levels, with a large probability (>83%) of the posterior distribution being > 0.20 and with the 95% highest posterior density interval (95%HPD) not containing zero. Most genetic correlation estimates between PC1 and methane were large (>0.70) at all taxonomic levels, with most of the posterior distribution (>82%) being >0.50 and with its 95%HPD not containing zero. These results suggest that rumen's whole metagenome recursively regulate methane emissions in dairy cows, and that both CH4 and the microbiota compositions are partially controlled by the host genotype. The purposed aggregated variables (PCs) could be used in animal breeding programs to reduce methane emissions in future generations. / This research was financed by RTA2015-00022-C03-02 (METALGEN) project from the national plan of research, development and innovation 2013-2020 and the Department of Economic Development and Competitiveness (Madrid, Spain). We thank the regional Holstein Associations and farmers collaborating in the project. Computational support from the High-Performance Computing Centre in Galicia (Spain) is acknowledged. Alejandro Saborío-Montero acknowledges the scholarship from Universidad de Costa Rica for his doctorate studies which partially conducted to the progress of this study. / Saborío Montero, A. (2021). Study of the Host Genetic Control over the Ruminal Microbiota and their Relationships with Methane Emissions in Dairy Cattle [Tesis doctoral]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/172633 / TESIS / Compendio

As frutíferas nativas do Brasil são subexploradas comercialmente, sendo que os programas de melhoramento genético são bastante incipientes, devido a muitas limitações associadas à fisiologia e biologia dessas espécies, embora apresentem potencial econômico tanto para o consumo in natura como para o processamento industrial. No Brasil, o maracujá-doce (Passiflora alata) está conquistando novos clientes e mercados, e tem atingido preços até três vezes maiores do que os do maracujá-azedo, amplamente cultivado no país. Os frutos do maracujá-doce são muito apreciados, embora apenas a seleção empírica tenha sido praticada. Evidentemente, seria muito vantajoso obter uma variedade geneticamente superior em termos de qualidade e produção de frutos. Nesse sentido, nosso grupo de pesquisa tem focado esforços visando a caracterizar geneticamente uma população segregante de maracujá-doce. Aqui, foram avaliados 30 genótipos desta população, previamente selecionados como superiores. Estes foram plantados sob três condições experimentais: Anhumas (2014/2015 e 2015/2016) e Piracicaba (2015/2016). Foi utilizado o delineamento em blocos casualizados, sendo que as análises genético-estatísticas tiveram por base a abordagem de modelos mistos para a predição dos valores genéticos (BLUPS). Foram estimados parâmetros genéticos e fenotípicos, herdabilidade, correlações genéticas e resposta esperada à seleção relativamente a peso (PF), comprimento (CF) diâmetro (DF) do fruto, espessura (EC) e peso (PC) da casca, peso (PP) e rendimento de polpa (RP), teor de sólidos solúveis totais (SST) e Produtividade. Os resultados mostraram haver altas correlações genéticas entre os principais atributos do fruto, assim como valores elevados de herdabilidade (desde 0,45 para PF a 0,94 para EC), valores que favorecem a prática de seleção. Em seguida, foi aplicado índice multiplicativo para fins de seleção e seis genótipos foram indicados como superiores, quais sejam: 49, 21, 107, 125, 140 e 122. Nossos resultados devem auxiliar outros estudos e iniciativas de seleção de genótipos mais produtivos, evidenciando a grande utilidade de ferramentas estatísticas modernas para se obter maior resposta à seleção. Em paralelo, foi estudada a resposta do maracujá-doce à infecção causada por Xanthomonas axonopodis. Dois genes, previamente identificados como superexpressos no maracujá-azedo, e que codificam as enzimas lipoxigenase-2 e (+)-neomentol desidrogenase foram aqui analisados via qPCR. No maracujá-doce observou-se maior expressão da (+)-neomentol desidrogenase, enzima associada à resposta de hipersensibilidade. Os sintomas da doença sugerem que a resposta de hipersensibilidade é particular no maracujá-doce, já que ocorre a queda precoce das folhas, evitando a disseminação sistêmica da bactéria. / Brazilian native fruit species are under-exploited commercially, and breeding programs are quite incipient due to many limitations associated with the physiology and biology of these species, although having economic potential both for in natura consumption as well as for industrial processing. In Brazil, the sweet passion fruit (Passiflora alata) is conquering new customers and markets, and has riched up to triple the sour passion fruit prices, widely grown in the country. The fruits of the sweet passion fruit are much appreciated, although only empirical selections have been practiced. Evidently, it would be very beneficial to obtain a genetically superior variety in terms of fruit quality and production. In this scenario, our research group has focused efforts to genetically characterize a segregating population of sweet passion fruit. Here, we evaluated 30 genotypes previously selected from this population by field-cultivating them under three experimental conditions: Anhumas (2014/2015 and 2015/2016) and Piracicaba (2015/2016). A randomized block design was used, and the genetic-statistical analyzes were based on a mixed-effects model approach in order to predict the genetic values (BLUPS). We estimated genetic and phenotypic parameters, as heritability, genetic correlations and expected response to selection for weight (WF), length (LF) diameter (DF) of the fruit, thickness (TS) and weight (WS) of the shell, weight (WP) and pulp yield (PY), total soluble solids (SS) and fruit yield. We found high genetic correlations between the main fruit attributes, as well as high values of heritability (from 0.45 for WF up to 0.94 for TS), values that may favor selection practices. Then, we applied a multiplicative selection index and six superior genotypes were selected, which are: 49, 21, 107, 125, 140 and 122. Our results may assist other studies and initiatives of selection of more productive genotypes, showing the great usefulness of modern statistical tools to obtain greater responses to selection. In parallel, we studied the response of sweet passion fruit to infection caused by Xanthomonas axonopodis. Two genes, previously identified as overexpressed in sour passion fruit, and that encode the enzymes lipoxygenase-2 and (+)-neomentol dehydrogenase were herein analyzed via qPCR. In the sweet passion fruit an increased expression of (+)- neomentol dehydrogenase, an enzyme associated with hypersensitivity response, was observed. The disease symptoms suggest that the response of hypersensitivity is particular in sweet passion fruit, since it provokes the premature fall of the leaves, thereby preventing the systemic bacterial dissemination.

Hedi HAMMAMI (2009). Genotype by Environment Interaction for Production Traits of Holsteins Using Two Countries as Model: Luxembourg and Tunisia (Doctoral thesis). Gembloux, Belgium, Gembloux Agricultural University, 170 p., 30 tabl., 16 fig. Summary. Under globalization, breeding organizations are selecting animals and exchanging germplasm across various environments. Ignoring genotype by environment interaction (G x E) may affect the efficiency of breeding strategies and limit outcomes from cooperation between breeding programs. Quantifying the effectiveness of indirect selection and effects of G x E for different breeds is therefore necessary. The objective of this thesis was to evaluate the magnitude of G x E for milk yield using Luxembourg and Tunisian Holstein populations. In fact, these two countries rely considerably on importation of superior genes from diverse origins for their breeding programs. This study needed records on both the genotype and the environment. In the first part of this thesis, genetic ties between the two populations were studied. Additive relationships and genetic similarity were important and genetic links have been strengthened with time which allowed the analysis of the phenotypic expression of daughters of common sires under each of these tow production environments. In the second part, genetic parameters for production traits of Tunisian Holsteins were estimated by a test-day random regression model (RRTD). Heritability estimates for 305-d milk, fat and protein yields were low to moderate (0.12 to 0.18) suspecting difficulties of high-producing cows to express their potential under limiting production conditions. In the third part, G x E for milk yield and persistency were investigated using character state models, where milk yield in each country was considered as a separate trait, and where the country border delimitation was designed as an environmental character state. A RRTD sire model was applied and was extended to a RRTD animal model. Significant G x E was detected for milk yield and persistency by both models. Large differences in genetic and permanent environmental variances between the two countries were observed. Genetic correlations for 305-d milk yield and persistency between Luxembourg and Tunisian Holsteins were 0.50 and 0.43 (sire model) and 0.60 and 0.36 (animal model). Moreover, low rank correlations obtained between estimated breeding values of common sires translate a significant re-ranking between the two environments. At the end of this thesis, a herd management (HM) parameter reflecting feeding and management intensity was defined. Three HM levels were identified in each country and G x E was investigated within- and across-environments. Significant G x E was detected between the Tunisian HM levels, whereas, only heterogeneous genetic variance for milk yield with limited re-ranking of sires across the three Luxembourg environments was observed. Overall, this thesis shows that under constraining environmental effects, selection for adaptive traits among economically valuable traits under their specific conditions is needed for low-input systems. When satisfactory feeding resources, management and husbandry practices are available, high degree environmental sensitivity is desired and the use of a high yielding breed may be encouraged.

<p> Despite the continuous breeding efforts towards improving yield, seed quality, and yield-related traits, there is still little understanding of several aspects of soybean breeding; however, crop breeding is ever-evolving, and plant breeding technologies offer immense potential for accelerating genetic improvement in soybeans. This thesis explores different frameworks to further characterize tradeoffs among seed quality traits, soybean maturity's genetic architecture, and selections for yield. We explored the interactions of carbohydrate traits with other seed traits, flowering, and maturity using data from a large panel of <em>G. max </em>accessions from the USDA soybean germplasm collection. We found a negative correlation between sucrose and protein and a negative correlation between protein and oil, representing a significant challenge for improving seed quality. In contrast to other well-documented correlations, such as protein and oil, correlations between raffinose and oil content seem more specific to populations and environments and are unlikely to generalize to the whole specie; however, the correlations of sucrose with protein and seed size appears to be more stable. In addition, we performed a genome-wide association analysis (GWA) to detect novel QTLs for flowering (R1) time, maturity (R8) time, and reproductive length (RL) using a soybean panel with the same genotype for major <em>E </em>genes (<em>e1-as/E2/E3). </em>While major maturity <em>E</em> genes are known to have pleiotropic effects on R1 and R8, we found two QTLs associated with R8 and RL that do not control R1, suggesting minor-effect, trait-specific loci are also involved in controlling R1 and R8. In addition, w<em>e identified six genes that may play essential roles in regulating R1, R8, and RL; however, further validation of the QTLs and f</em>ine mapping and map-based cloning studies of the candidate genes are necessary before they can be used in breeding programs. Lastly, we conducted a selection experiment in progeny row (PR) populations of four breeding programs to compare the agronomic performance of lines selected by breeders using their usual selection methods to lines selected through prediction of yield performance using new sources of data and information. Our results suggest that aerial average canopy coverage (ACC) used as a secondary trait in combination with field spatial variation adjustment is an efficient high throughput methodology to effectively select high-yielding lines from non-replicated experiments at the PR stage. </p>