Inbreeding avoidance through kin recognition: choosy females boost male dispersal.

Inbreeding avoidance is predicted to induce sex biases in dispersal. But which sex should disperse? In polygynous species, females pay higher costs to inbreeding and thus might be expected to disperse more, but empirical evidence consistently reveals male biases. Here, we show that theoretical expectations change drastically if females are allowed to avoid inbreeding via kin recognition. At high inbreeding loads, females should prefer immigrants over residents, thereby boosting male dispersal. At lower inbreeding loads, by contrast, inclusive fitness benefits should induce females to prefer relatives, thereby promoting male philopatry. This result points to disruptive effects of sexual selection. The inbreeding load that females are ready to accept is surprisingly high. In absence of search costs, females should prefer related partners as long as delta<r/(1+r) where r is relatedness and delta is the fecundity loss relative to an outbred mating. This amounts to fitness losses up to one-fifth for a half-sib mating and one-third for a full-sib mating, which lie in the upper range of inbreeding depression values currently reported in natural populations. The observation of active inbreeding avoidance in a polygynous species thus suggests that inbreeding depression exceeds this threshold in the species under scrutiny or that inbred matings at least partly forfeit other mating opportunities for males. Our model also shows that female choosiness should decline rapidly with search costs, stemming from, for example, reproductive delays. Species under strong time constraints on reproduction should thus be tolerant of inbreeding.

Estimation of genetic variance for macro- and micro-environmental sensitivity using double hierarchical generalized linear models

Background: Genetic variation for environmental sensitivity indicates that animals are genetically different in their response to environmental factors. Environmental factors are either identifiable (e.g. temperature) and called macro-environmental or unknown and called micro-environmental. The objectives of this study were to develop a statistical method to estimate genetic parameters for macro- and micro-environmental sensitivities simultaneously, to investigate bias and precision of resulting estimates of genetic parameters and to develop and evaluate use of Akaike’s information criterion using h-likelihood to select the best fitting model. Methods: We assumed that genetic variation in macro- and micro-environmental sensitivities is expressed as genetic variance in the slope of a linear reaction norm and environmental variance, respectively. A reaction norm model to estimate genetic variance for macro-environmental sensitivity was combined with a structural model for residual variance to estimate genetic variance for micro-environmental sensitivity using a double hierarchical generalized linear model in ASReml. Akaike’s information criterion was constructed as model selection criterion using approximated h-likelihood. Populations of sires with large half-sib offspring groups were simulated to investigate bias and precision of estimated genetic parameters. Results: Designs with 100 sires, each with at least 100 offspring, are required to have standard deviations of estimated variances lower than 50% of the true value. When the number of offspring increased, standard deviations of estimates across replicates decreased substantially, especially for genetic variances of macro- and micro-environmental sensitivities. Standard deviations of estimated genetic correlations across replicates were quite large (between 0.1 and 0.4), especially when sires had few offspring. Practically, no bias was observed for estimates of any of the parameters. Using Akaike’s information criterion the true genetic model was selected as the best statistical model in at least 90% of 100 replicates when the number of offspring per sire was 100. Application of the model to lactation milk yield in dairy cattle showed that genetic variance for micro- and macro-environmental sensitivities existed. Conclusion: The algorithm and model selection criterion presented here can contribute to better understand genetic control of macro- and micro-environmental sensitivities. Designs or datasets should have at least 100 sires each with 100 offspring.

Avaliação dos parâmetros genéticos em progênies de meio-irmãos de uma sub-população de milho composto Flint para resistência à lagarta-da-espiga Helicoverpa zea (Bod.)

Foram estudadas 100 progênies de meio-irmãos de uma sub-população de milho (Zea mays L.) Composto Flint com o objetivo de avaliar a resistência de genótipos à lagarta-da-espiga Helicoverpa zea (Bod.). Foram obtidos os valores de danos médios da lagarta-da-espiga de 1,14 cm de comprimento na espiga determinado pela escala de Widstrom e coeficiente de variação experimental (CVE) de 23,4%. Dos parâmetros genéticos avaliados, a estimativa de herdabilidade (h²) foi de 6%, variância genética (VG) de 0,0015 cm² e variância fenotípica (VF) de 0,025 cm² para danos de H. zea. No entanto, o comprimento da ponta da bráctea e compactação da bráctea alcançaram resultados de herdabilidade de 75% e 72% respectivamente. Essa sub-população de milho apresenta variabilidade genética suficiente para utilização em programas de melhoramento, sendo que a resistência à lagarta-da-espiga pode ser obtida através da melhoria dos caracteres morfológicos diretamente relacionados à praga, como a compactação e comprimento da bráctea.

Predição de ganhos genéticos em melhoramento florestal

Foram avaliados os ganhos totais preditos por diferentes critérios de seleção, em seis características de crescimento em famílias de meios-irmãos de Eucalyptus camaldulensis. A situação simulada consistiu na seleção de 25% das 44 famílias estudadas, e de 17% das plantas dentro dessas famílias, proporcionando, assim, uma seleção de 4,25% dos indivíduos constantes do ensaio. Os critérios de seleção empregados foram: seleção direta e indireta; índice clássico de Smith & Hazel, com quatro pesos econômicos, e índice de Pesek & Baker, em três situações. Os critérios de seleção utilizados mostraram-se semelhantes entre si, com ligeira superioridade do índice clássico quando se estabeleceu como vetor de pesos econômicos o coeficiente de variação genética associado a cada uma das características analisadas.

Mating system of a population of Myracrodruon urundeuva F.F. & M.F. Allemão using the fAFLP molecular marker

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Quantitative trait loci associated with chemical composition of the chicken carcass

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

QTL for percentage of carcass and carcass parts in a broiler x layer cross

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Quantitative trait loci for performance traits in a broiler x layer cross

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Quantitative trait loci associated with fatness in a broiler-layer cross

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Screening of melon populations for resistance to Didymella bryoniae in greenhouse and plastic tunnel conditions

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Conservação genética de populações de Cryptocarya moschata Nees (Lauraceae) na Mata Atlântica do estado de São Paulo

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Predição de parâmetros e valores genéticos para caracteres de crescimento e produção de látex em progênies de seringueira

O trabalho objetivou estimar parâmetros e valores genéticos para os caracteres altura, diâmetro, produção de látex e produtividade de progênies de seringueira. As progênies meio-irmãos foram estabelecidas sob delineamento de blocos ao acaso, com 28 tratamentos (progênies), cinco repetições e dez plantas por parcela. Aos três anos de idade, as progênies foram avaliadas quanto aos caracteres: a) altura total (cm); b) diâmetro (mm); c) Produção de borracha seca (g) e produtividade (g cm-2). As estimativas dos coeficientes de herdabilidades individuais (0,33; 0,24 e 0,51) para os caracteres altura, diâmetro e produtividade, respectivamente, foram consideradas expressivas. Para o caráter produção de borracha seca, a estimativa do coeficiente de herdabilidade individual, no sentido restrito (9%), embora de baixa magnitude, revela excelente possibilidade de seleção, pois conduziram a estimativa da herdabilidade, em nível de médias de família, a um valor equivalente a 68%. A acurácia entre os valores genéticos preditos e os verdadeiros foram de 0,80 para altura, 0,76 para diâmetro, 0,62 para produção de borracha seca e 0,86 para produtividade. As estimativas de herdabilidades individuais associadas às de médias de progênies podem maximizar os ganhos genéticos com a seleção na população. A inclusão do caráter produtividade foi promissora e deve ser utilizada na seqüência das avaliações, subsidiando o programa de melhoramento genético da espécie no Estado de Mato Grosso do Sul.

QTL affecting body weight in a candidate region of cattle chromosome 5

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Effects of age at first calving, gestation length and dry period on milk yield in a Gyr herd

Relationships of several reproductve traits and milk yield were studied in 716 Gyr cows at Sant'Ana da Serra farm, Mococa, State of São Paulo, a humid tropical climate region. Mean age at first calving was 49.8 +/- 0.4 months, with a coeficient of cariation (C. V.) of 20.8%. Only year of parturition significantly affected age at first calving (P < 0.01). Heritability, estimated from paternal half-sib correlations, was 0.91 +/- 0.20, a value considered unrealistically high. Overall mean gestation length was 287.7 +/- 0.5 days (C. V. = 3.3%) for 419 observations, with month and year of parturition having significant effects. Heritability estimate was 0.30 +/- 0.14. Overall mean dry period for 1.276 observations was 238 +/- 3 days (C. V. = 48%); repeatability estimate was 0.19 +/- 0.06. Estimated annual genetic trend for dry period was -0.6 days, phenotypic trend was 11.5 days, and environmental trend, 12.1 days. Month and year of parturition and cow age had no significant effect on dry period. Highest milk yield was obtained at fourth lactation. The gross correlation between milk yield and gestation period was 0.11, and between previous dry period and subsequent milk yield, 0.16. Normal gestations of 285 to 290 days were associated with higher milk yields. Milk yield increased as dry period advanced from 30 to 390 days, and declined as dry period continued beyond 390 days. Delays in first mating and a more extensive dry period decreased reproductive efficiency in the herd studied.

Immotile Short-Tail Sperm Defect in Nelore (Bos taurus indicus) Breed Bulls

ContentThis case study reported the presence of short tail sperm defect in the semen of three Nelore breed bulls. The sperm presented 0% of motility in the three animals evaluated and a total of 70%, 61% and 34% of pathologies of the intermediate piece of the tail respectively for animals 1, 2 and 3. It was identified that animals 2 and 3 had high degree of inbreeding, although no relationship was found with animal 1. Animal 2 was the only one that presented inbreeding coefficient (6.25%). His half-sib (animal 3) and animal 1, from the same herd, had shown no inbreeding, showing that inheritance is not the only determinant factor for its incidence on Nelore males.