Genetic evaluations of dairy goats with few pedigree data: different approaches to use molecular information.

One of the limitations of implementing animal breeding programs in small-scale or extensive production systems is the lack of production records and genealogical records. In this context, molecular markers could help to gain information for the breeding program. This study addresses the inclusion of molecular data into traditional genetic evaluation models as a random effect by molecular pedigree reconstruction and as a fixed effect by Bayesian clustering. The methods were tested for lactation curve traits in 14 dairy goat herds with incomplete phenotypic data and pedigree information. The results showed an increment of 37.3% of the relationships regarding the originals with MOLCOAN and clustering into five genetic groups. Data leads to estimating additive variance, error variance, and heritability with four different models, including pedigree and molecular information. Deviance Information Criterion (DIC) values demonstrate a greater fitting of the models that include molecular information either as fixed (genetic clusters) or as random (molecular matrix) effects. The molecular information of simple markers can complement genetic improvement strategies in populations with little information.

Genomic Prediction of Resistance to Tan Spot, Spot Blotch and Septoria Nodorum Blotch in Synthetic Hexaploid Wheat.

Genomic prediction combines molecular and phenotypic data in a training population to predict the breeding values of individuals that have only been genotyped. The use of genomic information in breeding programs helps to increase the frequency of favorable alleles in the populations of interest. This study evaluated the performance of BLUP (Best Linear Unbiased Prediction) in predicting resistance to tan spot, spot blotch and Septoria nodorum blotch in synthetic hexaploid wheat. BLUP was implemented in single-trait and multi-trait models with three variations: (1) the pedigree relationship matrix (A-BLUP), (2) the genomic relationship matrix (G-BLUP), and (3) a combination of the two matrices (A+G BLUP). In all three diseases, the A-BLUP model had a lower performance, and the G-BLUP and A+G BLUP were statistically similar (p ≥ 0.05). The prediction accuracy with the single trait was statistically similar (p ≥ 0.05) to the multi-trait accuracy, possibly due to the low correlation of severity between the diseases.

Genomic evaluation of commercial herds with different pedigree structures using the single-step genomic BLUP in Nelore cattle.

The aim of this work was to evaluate the impact of applying genomic information in pedigree uncertainty situations on genetic evaluations for growth- and cow productivity-related traits in Nelore commercial herds. Records for accumulated cow productivity (ACP) and adjusted weight at 450 days of age (W450) were used, as well as genotypes of registered and commercial herd animals, genotyped with the Clarifide Nelore 3.1 panel (~29,000 SNPs). The genetic values for commercial and registered populations were estimated using different approaches that included (ssGBLUP) or did not include genomic information (BLUP), with different pedigree structures. Different scenarios were tested, varying the proportion of young animals with unknown sires (0, 25, 50, 75, and 100%), and unknown maternal grandsires (0, 25, 50, 75, and 100%). The prediction accuracies and abilities were calculated. The estimated breeding value accuracies decreased as the proportion of unknown sires and maternal grandsires increased. The genomic estimated breeding value accuracy using the ssGBLUP was higher in scenarios with a lower proportion of known pedigree when compared to the BLUP methodology. The results obtained with the ssGBLUP showed that it is possible to obtain reliable direct and indirect predictions for young animals from commercial herds without pedigree structure.

An insight into population structure and genetic progress of Argentinean Holstein cattle.

The objective of the present study was to investigate the most critical issues associated with the limited genetic progress evidenced in the Argentinean Holstein ("Holando Argentino") breed in the last 20 years (only 26% of the phenotypic trend in milk yield was due to genetics). The study comprised the analysis of population structure, realized genetic selection differentials, genetic progress and partition of genetic trends by sex and country of origin from 1936 to 2019 (1,045,582 records; 24,680 sires and 619,322 dams in the pedigree). Average inbreeding steadily increased in the last 15 generations (ΔF = 0.6%, which translates to Ne = 75). Partition of genetic trends revealed that local genetics made a negligible contribution to genetic progress, which for most traits was highly dependent on imported genetics (>80%). Mean generation intervals were fairly constant until 2009 (8-9 years for males and 5-6 years for females, respectively) and then decreased, especially in the paths of sires of bulls and dams of bulls (to 5 and 4 years, respectively) mostly due to the influence of imported sires. The reduction in generation intervals was counterbalanced by a marked deterioration of realized selection differentials, particularly in the path of sires of bulls that nevertheless made the largest contribution to genetic progress. In the last 20 years, realized selection differentials in this path went from 533.6 to 170.8 kg for milk yield and from 16.7 to 13.3 kg for protein yield (1.7-0.5 and 1.6-1.3 standard deviation units, respectively). Among all considered traits (milk yield, fat yield, protein yield, stature, final score and daughter pregnancy rate) in the analysed period, annual genetic gain was negative for milk yield, fairly constant for composition and conformation traits, and positive only in the case of daughter pregnancy rate. Considered together, these results suggest that limited genetic progress is due to the absence of a sound breeding programme that includes genomic selection and a carefully defined selection objective, together with the absence of stronger regulations in germplasm importation; however, other factors such as potential genetics by environment interactions cannot be ruled out.

Genetic structure and inbreeding in Romney Marsh sheep in Brazil / Estrutura genética e consanguinidade de ovinos Romney Marsh no Brasil

According to the last livestock census, Brazil has 17,976,367 head of sheep. Approximately 23.69% of this herd is located in the south region, where wool or wool and meat-producing breeds are predominately farmed. Inbreeding, or consanguinity, is defined as the mating of related individuals, which tends to occur when herds are small or originate from few parents. This study proposes to investigate the genetic structure and diversity of the Romney Marsh sheep herd in Brazil. The pedigree data used were obtained from the Brazilian Association of Sheep Breeders (ARCO), which keeps the sheep register database. For a more complete analysis, data from the Purebred Register Books were used. The population herein referred to as "total" comprised 22,833 individuals, whereas the population termed "reference" consisted of 17,053 records. Individual and average inbreeding coefficients, as well as overall frequencies, were calculated using SAS software. Demographic indicators were determined using ENDOG software. The average inbreeding coefficient found was 2.90% in the total population and 3.55% in the reference population. The minimum inbreeding value found in the studied population was 0.01% and the maximum was 43.47%. Inbred animals in the complete reference population were 10.31%. In 2018, inbred animals represented 82.55% of the registered population. The average generation interval was 4.0488 years. Due to the intensive use of few breeding lines and the high degree of genetic uniformity in the population, the Romney Marsh breed has narrow pedigree bottlenecks. The current population of the Romney Marsh breed has only two genetic origins, warranting the introduction of new genes to avoid genetic erosion and severe losses due to inbreeding.(AU)

O último censo pecuário informa que o Brasil possui 17.976.367 cabeças de ovinos. Aproximadamente 23,69% desse efetivo está localizado na região sul do país, onde predomina a criação de raças produtoras de lã, ou lã e carne. Endogamia ou consanguinidade é definida como o acasalamento de indivíduos relacionados, e tende a ocorrer quando os rebanhos são pequenos ou provenientes de poucos genitores. Este estudo teve como objetivo estudar a estrutura e a diversidade genética do rebanho ovino da raça Romney Marsh no Brasil. Os dados de pedigree utilizados foram obtidos na Associação Brasileira de Criadores de Ovinos (ARCO), que é a mantenedora do banco de dados de registro de ovinos. Para uma análise mais completa foram utilizados dados dos Livros de Registro Puro de Origem (PO). A população referida como "total" foi composta por 22.833 indivíduos, e a população referida como "referência" composta por 17.053 registros. Os coeficientes de consanguinidade individual e médio, bem como as frequências gerais, foram calculados usando o software SAS. Os indicadores demográficos foram determinados a partir do software ENDOG. O coeficiente de consanguinidade médio encontrado na população total foi de 2,90%, e na população de referência foi de 3,55%. O valor mínimo de consanguinidade encontrado na população estudada foi de 0,01% e o máximo, foi de 43,47%. Animais consanguíneos na população de referência completa foi de 10,31%. Em 2018 os animais consanguíneos representavam 82,55% da população cadastrada. Intervalo médio de gerações 4,0488 anos. Devido ao uso intensivo de poucas linhas de reprodutores e ao alto grau de uniformidade genética da população, a raça Romney Marsh apresenta estreitos gargalos nos pedigrees. A população atual da raça Romney Marsh provém de apenas duas origens genéticas, sendo necessário introduzir genes novos para evitar a erosão genética e perdas por consanguinidade acentuada.(AU)

Genetic diversity of Shepherd dog using pedigree analysis / Diversidade genética em cães da raça Pastor Alemão utilizando análise de pedigree

ABSTRACT: The German Shepherd dog breed is the most popular breed globally and in Brazil. The study of the population structure through pedigree information is an essential tool to understand the history of the Brazilian German Shepherd dog breed. This study evaluated the status of genetic diversity and population structure of the Brazilian German Shepherd dog breed. The pedigree included a total of 77,938 animals born between 1970 and 2014. The average generation interval in this population was 3.91 years. Considering the reference population, 2,183 founders were identified. Approximately 3% of the genetic diversity of the current population (2010-2014) was lost, most of which was due to genetic drift. The effective population size was relatively small, and the pedigree showed bottlenecks indicating a loss of genetic diversity in this breed. These results indicated the need to adopt measures against the excessive increase in inbreeding and monitor effective population size to minimize genetic diversity loss.

RESUMO: A raça Pastor Alemão é uma das raças mais populares no mundo e no Brasil. O estudo da estrutura populacional por meio de informações de pedigree é uma ferramenta essencial para o entendimento da história dessa raça no Brasil. Objetivou-se com o estudo avaliar o status da diversidade genética e da estrutura populacional de cães da raça Pastor Alemão. O pedigree incluiu um total de 77.938 animais nascidos entre 1970 e 2014. O intervalo médio de geração nesta população foi de 3,91 anos. Considerando a população de referência, foram identificados 2.183 fundadores. Cerca de 3% da diversidade genética da população atual (2010-2014) foi perdida, a maior parte devido à deriva genética. O tamanho efetivo da população foi relativamente pequeno e o pedigree apresentou gargalos indicando uma perda de diversidade genética nesta raça. Esses resultados indicam a necessidade de adoção de medidas contra o aumento excessivo da endogamia e do monitoramento do tamanho efetivo da população para minimizar a perda de diversidade genética.

Genetic diversity of Shepherd dog using pedigree analysis / Diversidade genética em cães da raça Pastor Alemão utilizando análise de pedigree

The German Shepherd dog breed is the most popular breed globally and in Brazil. The study of the population structure through pedigree information is an essential tool to understand the history of the Brazilian German Shepherd dog breed. This study evaluated the status of genetic diversity and population structure of the Brazilian German Shepherd dog breed. The pedigree included a total of 77,938 animals born between 1970 and 2014. The average generation interval in this population was 3.91 years. Considering the reference population, 2,183 founders were identified. Approximately 3% of the genetic diversity of the current population (2010-2014) was lost, most of which was due to genetic drift. The effective population size was relatively small, and the pedigree showed bottlenecks indicating a loss of genetic diversity in this breed. These results indicated the need to adopt measures against the excessive increase in inbreeding and monitor effective population size to minimize genetic diversity loss.

A raça Pastor Alemão é uma das raças mais populares no mundo e no Brasil. O estudo da estrutura populacional por meio de informações de pedigree é uma ferramenta essencial para o entendimento da história dessa raça no Brasil. Objetivou-se com o estudo avaliar o status da diversidade genética e da estrutura populacional de cães da raça Pastor Alemão. O pedigree incluiu um total de 77.938 animais nascidos entre 1970 e 2014. O intervalo médio de geração nesta população foi de 3,91 anos. Considerando a população de referência, foram identificados 2.183 fundadores. Cerca de 3% da diversidade genética da população atual (2010-2014) foi perdida, a maior parte devido à deriva genética. O tamanho efetivo da população foi relativamente pequeno e o pedigree apresentou gargalos indicando uma perda de diversidade genética nesta raça. Esses resultados indicam a necessidade de adoção de medidas contra o aumento excessivo da endogamia e do monitoramento do tamanho efetivo da população para minimizar a perda de diversidade genética.

Multitrait Bayesian shrinkage and variable selection models with the BGLR-R package.

The BGLR-R package implements various types of single-trait shrinkage/variable selection Bayesian regressions. The package was first released in 2014, since then it has become a software very often used in genomic studies. We recently develop functionality for multitrait models. The implementation allows users to include an arbitrary number of random-effects terms. For each set of predictors, users can choose diffuse, Gaussian, and Gaussian-spike-slab multivariate priors. Unlike other software packages for multitrait genomic regressions, BGLR offers many specifications for (co)variance parameters (unstructured, diagonal, factor analytic, and recursive). Samples from the posterior distribution of the models implemented in the multitrait function are generated using a Gibbs sampler, which is implemented by combining code written in the R and C programming languages. In this article, we provide an overview of the models and methods implemented BGLR's multitrait function, present examples that illustrate the use of the package, and benchmark the performance of the software.

Evaluation of Genetic Parameters of Growth of Pelibuey and Blackbelly Sheep through Pedigree in Mexico.

Birth weight (BW) and weaning weight (WW) data from Pelibuey and Blackbelly lambs belonging to the Asociación Mexicana de Criadores de Ovinos (AMCO) were used with the objective of estimating genetic parameters (heritability and genetic correlations) and analyzing the growth characteristics of ewes born and weaned at different times of the same year from different herds with pedigree registration. In the case of Pelibuey lambs, the animal model included the weaning weight at 75 days of age, considering the direct additive genetic effect, maternal additive genetic effect, covariance between direct and maternal effects, as well as the permanent environmental effect of the mother. The direct estimators of heritability for Pelibuey were BW = 0.01 ± 0.021 and WW = 0.31 ± 0.074 and for Blackbelly they were BW = 0.05 ± 0.042 and WW = 0.41 ± 0.146. In the case of the maternal heritability estimators in Pelibuey they were BW = 0.02 ± 0.040 and WW = 0.21 ± 0.121 and for Blackbelly they were BW = 0.12 ± 0.054 and WW = 0.28 ± 0.121. The magnitude of the estimates of genetic correlations between direct and maternal effects for adjusted weaning weight at 75 days of age indicate that genetic progress may be slow in a breeding program. However, these selection results could be included in the short term in the breeding programs for the Pelibuey and Blackbelly breeds in Mexico, for livestock development in low-income rural areas.

Structure and genetic variability of the mexican Sardo Negro breed / Análise da estrutura e variabilidade genética da raça Sardo Negro do México

This study analyzed the Sardo Negro breed pedigree (41,521 animals registered from 1958 to 2019) to determine its structure, evolution, and genetic variability (GV). The population genetic parameters evaluated were effective number of founders (fe) and ancestors (fa), pedigree integrity, additive genetic relationship (AGR); number of complete generations (NCG), maximum generations traced (NMGT), and equivalent complete generations (NECG); effective population size (Ne), inbreeding coefficient (F), and generation interval (GI). The average GI was 7.45 years. A total of 7,804 founders and 4,856 ancestors were identified for a fe of 185 and a fa of 97. The average and maximum values of NCG, NECG, and NMGT were 1.6 and 5.0, 2.5 and 6.5, 4.3 and 12, with Ne estimates of 15.9, 25.9, and 69.0, respectively. The increase in F, linked to Ne, ranged from 0.72% to 3.1% per generation. The average values for F and AGR were 3.6% and 1.0%, respectively. The proportion of inbred individuals was 32.0%, with F values ranging from 0.01 to 62.2% and an average of 11.3%. The rate of inbred population was 1.3% per year. The annual rate of AGR was 0.04%. For the continuity and projection of the breed, the evolution of F as a function of Ne and the possible implications of the selection schemes must be considered. The genetic variability sustained over time results from the Ne.

Os objetivos deste estudo foram analisar o pedigree (41.521 registros de 1958 a 2019) da raça Sardo Negro para avaliar a estrutura, evolução e variabilidade genética (VG) da população. Os parâmetros genéticos populacionais utilizados foram: número efetivo de fundadores (fe) e ancestrais (fa); integridade do pedigree; relação genética aditiva (RGA); número de gerações completas (NGC), máximo plotado (NGT) e equivalentes (NGE); tamanho efetivo (Ne); consanguinidade (F); intervalo geracional (IG). O IG médio foi de 7,45 anos. Foram identificados 7.804 fundadores e 4.856 ancestrais, para fe 185 e 97 na fa. As médias e máximas para NGC, NGE e NGT foram 1,6 e 5,0, 2,5 e 6,5, 4,3 e 12, com estimativas de Ne 15,9, 25,9 e 69,0, respectivamente. O aumento de F, vinculado ao Ne, ficou na faixa de 0,72% a 3,1% por geração. A média para F 3,6% e 1,0% em RGA; a proporção de consanguíneos foi de 32,0%, com F na faixa de 0,01 a 62,2% e média de 11,3%. A taxa da população consanguínea foi de 1,3% ao ano. No RGA, a taxa ao ano era de 0,04%. Para a continuidade e projeção da raça, deve-se considerar a evolução de F em função de Ne e as possíveis implicações dos esquemas de seleção. A variabilidade genética sustentada ao longo do tempo resulta do Ne.

Estimating inbreeding depression for growth and reproductive traits using pedigree and genomic methods in Argentinean Brangus cattle.

Inbreeding depression reduces the mean phenotypic value of important traits in livestock populations. The goal of this work was to estimate the level of inbreeding and inbreeding depression for growth and reproductive traits in Argentinean Brangus cattle, in order to obtain a diagnosis and monitor breed management. Data comprised 359,257 (from which 1,990 were genotyped for 40,678 single nucleotide polymorphisms [SNPs]) animals with phenotypic records for at least one of three growth traits: birth weight (BW), weaning weight (WW), and finishing weight (FW). For scrotal circumference (SC), 52,399 phenotypic records (of which 256 had genotype) were available. There were 530,938 animals in pedigree. Three methods to estimate inbreeding coefficients were used. Pedigree-based inbreeding coefficients were estimated accounting for missing parents. Inbreeding coefficients combining genotyped and nongenotyped animal information were also computed from matrix H of the single-step approach. Genomic inbreeding coefficients were estimated using homozygous segments obtained from a Hidden Markov model (HMM) approach. Inbreeding depression was estimated from the regression of the phenotype on inbreeding coefficients in a multiple-trait mixed model framework, either for the whole dataset or for the dataset of genotyped animals. All traits were unfavorably affected by inbreeding depression. A 10% increase in pedigree-based or combined inbreeding would result in a reduction of 0.34 to 0.39 kg in BW, 2.77 to 3.28 kg in WW, and 0.23 cm in SC. For FW, a 10% increase in pedigree-based, genomic, or combined inbreeding would result in a decrease of 8.05 to 11.57 kg. Genomic inbreeding based on the HMM was able to capture inbreeding depression, even in such a compressed genotyped dataset.

Three easy fixes for sire use can enhance genetic progress in community-based breeding programmes.

We analysed options to optimize the use of sires in sheep and goat community-based breeding programmes (CBBP) for three scenarios occurring under field conditions: premature sale of selection candidates, fixed service periods of selected sires and incomplete sire pedigrees. The first scenario was studied by looking at the outcome of combinations of selection pressures in successive selection stages. A compromise of early sale of sire candidates and genetic progress can be obtained by selecting in two stages, such that selection pressure in the first stage is chosen in terms of achieving an acceptable selection potential after the second stage. Simulations showed the dependency of this compromise on selection accuracies and correlation between selection criteria. For a typical sheep CBBP, only 20% of the top three months weighting male lambs need to be retained to achieve 80% of the potential selection differential on six months weight. For the second scenario, two alternatives to fixed service periods were analysed. When across-age BLUP EBVs are not available, individual sires can be programmed to stay in service according to their initial ranking. In typical sheep, CBBPs genetic progress can be increased by about 9% over response to selection with optimum fixed sire service periods. When BLUP EBVs are available, a simulated retrospective analyses of across-age selection of sires in two current sheep CBBPs increased more than twofold the average breeding values actually observed. Thirdly, we studied the benefit of considering possible sires and their mating probabilities when estimating BLUP breeding values instead of setting such sires as unknown. In a current goat CBBP with up to three possible sires included in the pedigree, the accuracy of breeding values nears the accuracy when sires are known and are higher than accuracies when sires are unknown or when possible sires are ignored.

Gene-Based Association Testing of Dichotomous Traits With Generalized Functional Linear Mixed Models Using Extended Pedigrees: Applications to Age-Related Macular Degeneration.

Genetics plays a role in age-related macular degeneration (AMD), a common cause of blindness in the elderly. There is a need for powerful methods for carrying out region-based association tests between a dichotomous trait like AMD and genetic variants on family data. Here, we apply our new generalized functional linear mixed models (GFLMM) developed to test for gene-based association in a set of AMD families. Using common and rare variants, we observe significant association with two known AMD genes: CFH and ARMS2. Using rare variants, we find suggestive signals in four genes: ASAH1, CLEC6A, TMEM63C, and SGSM1. Intriguingly, ASAH1 is down-regulated in AMD aqueous humor, and ASAH1 deficiency leads to retinal inflammation and increased vulnerability to oxidative stress. These findings were made possible by our GFLMM which model the effect of a major gene as a fixed mean, the polygenic contributions as a random variation, and the correlation of pedigree members by kinship coefficients. Simulations indicate that the GFLMM likelihood ratio tests (LRTs) accurately control the Type I error rates. The LRTs have similar or higher power than existing retrospective kernel and burden statistics. Our GFLMM-based statistics provide a new tool for conducting family-based genetic studies of complex diseases. Supplementary materials for this article, including a standardized description of the materials available for reproducing the work, are available as an online supplement.

Target Population of Environments for Wheat Breeding in India: Definition, Prediction and Genetic Gains.

In this study, we defined the target population of environments (TPE) for wheat breeding in India, the largest wheat producer in South Asia, and estimated the correlated response to the selection and prediction ability of five selection environments (SEs) in Mexico. We also estimated grain yield (GY) gains in each TPE. Our analysis used meteorological, soil, and GY data from the international Elite Spring Wheat Yield Trials (ESWYT) distributed by the International Maize and Wheat Improvement Center (CIMMYT) from 2001 to 2016. We identified three TPEs: TPE 1, the optimally irrigated Northwestern Plain Zone; TPE 2, the optimally irrigated, heat-stressed North Eastern Plains Zone; and TPE 3, the drought-stressed Central-Peninsular Zone. The correlated response to selection ranged from 0.4 to 0.9 within each TPE. The highest prediction accuracies for GY per TPE were derived using models that included genotype-by-environment interaction and/or meteorological information and their interaction with the lines. The highest prediction accuracies for TPEs 1, 2, and 3 were 0.37, 0.46, and 0.51, respectively, and the respective GY gains were 118, 46, and 123 kg/ha/year. These results can help fine-tune the breeding of elite wheat germplasm with stable yields to reduce farmers' risk from year-to-year environmental variation in India's wheat lands, which cover 30 million ha, account for 100 million tons of grain or more each year, and provide food and livelihoods for hundreds of millions of farmers and consumers in South Asia.

Analysis of the population structure of a cattle conservation nucleus Curraleiro Pé Duro / [Análise da estrutura populacional de um núcleo de conservação de bovino Curraleiro Pé Duro]

The objective of this research was to study the population structure of the Cattle Conservation Nucleos Curraleiro Pé Duro of the Instituto Nacional do Semiárido (NCP_INSA) based on pedigree data. Genealogical information from 338 animals registered in the period from 1991 to 2019 was used. The number of founding animals (Nf), the effective number of founders (fe), effective number of ancestors (fa), inbreeding coefficient (F), and average relatedness coefficient (AR), in addition to Fis, Fit and Fst were estimated. It was possible to identify ancestors up to the third generation, with an increase in information over the generations. Of the total pedigree information evaluated, 90.53% had the identification of the father and mother. The effective size of the population was smaller than those proposed by FAO, suggesting the need to redefine the herd management and genetic management plan strategies, promoting gene flow and breed expansion.(AU)

O objetivo com essa pesquisa foi estudar a estrutura populacional do Núcleo de Conservação de Bovinos Curraleiro Pé-Duro (NCP) do Instituto Nacional do Semiárido (INSA), por meio de dados de pedigree. Utilizaram-se informações genealógicas de 338 animais registrados no período de 1991 a 2019. Foi estimado o número de animais fundadores (Nf), o número efetivo de fundadores (fe), o número efetivo de ancestrais (fa), o coeficiente de endogamia (F) e o coeficiente de parentesco médio (AR), além do Fis, Fit e Fst. Foi possível identificar ancestrais até a terceira geração, com aumento crescente das informações ao longo das gerações. Do total de informações avaliadas, 90,53% possuíam identificação do pai e da mãe. O tamanho efetivo da população foi inferior ao mínimo proposto pela FAO, o que sugere a necessidade de redefinir as estratégias do plano de gestão e de manejo genético do rebanho, de modo a promover fluxo gênico e expansão da raça.(AU)

Estimates of Autozygosity Through Runs of Homozygosity in Farmed Coho Salmon.

The characterization of runs of homozygosity (ROH), using high-density single nucleotide polymorphisms (SNPs) allows inferences to be made about the past demographic history of animal populations and the genomic ROH has become a common approach to characterize the inbreeding. We aimed to analyze and characterize ROH patterns and compare different genomic and pedigree-based methods to estimate the inbreeding coefficient in two pure lines (POP A and B) and one recently admixed line (POP C) of coho salmon (Oncorhynchus kisutch) breeding nuclei, genotyped using a 200 K Affymetrix Axiom® myDesign Custom SNP Array. A large number and greater mean length of ROH were found for the two "pure" lines and the recently admixed line (POP C) showed the lowest number and smaller mean length of ROH. The ROH analysis for different length classes suggests that all three coho salmon lines the genome is largely composed of a high number of short segments (<4 Mb), and for POP C no segment >16 Mb was found. A high variable number of ROH, mean length and inbreeding values across chromosomes; positively the consequence of artificial selection. Pedigree-based inbreeding values tended to underestimate genomic-based inbreeding levels, which in turn varied depending on the method used for estimation. The high positive correlations between different genomic-based inbreeding coefficients suggest that they are consistent and may be more accurate than pedigree-based methods, given that they capture information from past and more recent demographic events, even when there are no pedigree records available.

Análise da estrutura populacional de ovinos deslanados do núcleo de conservação / Population structure analysis in sheep without wool in the conservation nucleus

Este estudo analisou a estrutura populacional de ovinos deslanados do núcleo de conservação do estado do Ceará, Brasil. Os parâmetros populacionais foram estimados com base nos dados genealógicos de indivíduos das raças Santa Inês (SI), Somalis (SO) e Morada Nova (MN), nascidos entre os anos de 2001 e 2014. Os parâmetros estimados foram: número de gerações completas equivalentes (GCE), intervalo entre gerações (IEG), número de fundadores (Nf), número efetivo de fundadores (fe), número efetivo de ancestrais (fa), coeficiente de endogamia (F) e índice de contribuição genética (ICG). O GCE médio foi de 1,82, 2,78 e 1,52 para SI, SO e MN, respectivamente. O IEG foi próximo entre as raças, 3,67 anos em média. O Nf para SI, SO e MN foi igual a 225, 194 e 153, respectivamente. As razões fe/fa foram distantes de 1 nas três populações, o que indica ocorrência de gargalo genético, principalmente para SO. Os coeficientes médios de endogamia foram de 1,81%, 0,78% e 0,78% para SI, SO e MN, respectivamente. O ICG foi de 3,32, 5,38 e 2,87 para SI, SO e MN, respectivamente. Os parâmetros populacionais estimados apontam que parte da genética original desses rebanhos foi perdida, principalmente na população da raça Somalis.(AU)

This study evaluated the population structure of sheep without wool from the conservation nucleus in Ceará State, Brazil. Population parameters were estimated on genealogical records of Santa Ines (SI), Somali (SO,) and Morada Nova (MN) breeds, that were born between 2001 and 2014. The following estimates were obtained: number of complete generation equivalents (GCE), generation intervals (IEG), number of founders (Nf), effective number of founders (fe), effective number of ancestors (fa), inbreeding coefficient (F), and genetic contribution index (ICG). Average GCE was 1.82, 2.78, and 1.52 for SI, SO, and MN respectively. Mean IEG was similar between breeds, 3.67 years. The Nf was 225, 194, and 153 for SI, SO, and MN respectively. The fe/fa ratios were different to 1, which is an indication of genetic bottleneck, mainly for SO. The average inbreeding coefficients were 1.81%, 0.78%, and 0.78% for SI, SO, and MN respectively. The ICG was 3.32, 5.38, and 2.87 for SI, SO, and MN respectively. Estimated population parameters indicate that part of the genetics of these breeds was lost, mainly in Somalis.(AU)

Análise da estrutura populacional de ovinos deslanados do núcleo de conservação / Population structure analysis in sheep without wool in the conservation nucleus

Este estudo analisou a estrutura populacional de ovinos deslanados do núcleo de conservação do estado do Ceará, Brasil. Os parâmetros populacionais foram estimados com base nos dados genealógicos de indivíduos das raças Santa Inês (SI), Somalis (SO) e Morada Nova (MN), nascidos entre os anos de 2001 e 2014. Os parâmetros estimados foram: número de gerações completas equivalentes (GCE), intervalo entre gerações (IEG), número de fundadores (Nf), número efetivo de fundadores (fe), número efetivo de ancestrais (fa), coeficiente de endogamia (F) e índice de contribuição genética (ICG). O GCE médio foi de 1,82, 2,78 e 1,52 para SI, SO e MN, respectivamente. O IEG foi próximo entre as raças, 3,67 anos em média. O Nf para SI, SO e MN foi igual a 225, 194 e 153, respectivamente. As razões fe/fa foram distantes de 1 nas três populações, o que indica ocorrência de gargalo genético, principalmente para SO. Os coeficientes médios de endogamia foram de 1,81%, 0,78% e 0,78% para SI, SO e MN, respectivamente. O ICG foi de 3,32, 5,38 e 2,87 para SI, SO e MN, respectivamente. Os parâmetros populacionais estimados apontam que parte da genética original desses rebanhos foi perdida, principalmente na população da raça Somalis.(AU)

This study evaluated the population structure of sheep without wool from the conservation nucleus in Ceará State, Brazil. Population parameters were estimated on genealogical records of Santa Ines (SI), Somali (SO,) and Morada Nova (MN) breeds, that were born between 2001 and 2014. The following estimates were obtained: number of complete generation equivalents (GCE), generation intervals (IEG), number of founders (Nf), effective number of founders (fe), effective number of ancestors (fa), inbreeding coefficient (F), and genetic contribution index (ICG). Average GCE was 1.82, 2.78, and 1.52 for SI, SO, and MN respectively. Mean IEG was similar between breeds, 3.67 years. The Nf was 225, 194, and 153 for SI, SO, and MN respectively. The fe/fa ratios were different to 1, which is an indication of genetic bottleneck, mainly for SO. The average inbreeding coefficients were 1.81%, 0.78%, and 0.78% for SI, SO, and MN respectively. The ICG was 3.32, 5.38, and 2.87 for SI, SO, and MN respectively. Estimated population parameters indicate that part of the genetics of these breeds was lost, mainly in Somalis.(AU)

Evaluation of the Romosinuano cattle population structure in Mexico using pedigree analysis / Evaluación de la estructura poblacional de bovinos Romosinuano en México mediante el análisis de pedigrí / Avaliação da estrutura populacional de bovinos Romosinuano no México usando análise de pedigree

Abstract Background: Romosinuano cattle breed in Mexico has endured isolation and it is necessary to characterize it in order to facilitate sustainable genetic management. Objective: To assess the evolution of the structure and genetic diversity of the Romosinuano breed in Mexico, through pedigree analysis. Methods: Pedigree data was obtained from Asociación Mexicana de Criadores de Ganado Romosinuano y Lechero Tropical (AMCROLET). The ENDOG program (4.8 version) was used to analyze two datasets, one that includes upgrading from F1 animals (UP) and the other with only straight-bred cattle (SP). For both datasets, three reference populations were defined: 1998-2003 (RP1), 2004-2009 (RP2), and 2010-2017 (RP3). The pedigree included 3,432 animals in UP and 1,518 in SP. Demographic parameters were: Generation interval (GI), equivalent number of generations (EG), pedigree completeness index (PCI), and gene flow among herds. Genetic parameters were: Inbreeding (F) and average relatedness (AR) coefficients, effective population size (Nec), effective number of founders and ancestors, and number of founder genome equivalents. Results: The GI varied from 6.10 to 6.54 for UP, and from 6.47 to 7.16 yr for SP. The EG of the UP and SP improved >63% from RP1 to RP3. The PCI increased over time. No nucleus or isolated herds were found. For RP3, F and AR reached 2.08 and 5.12% in the UP, and 2.55 and 5.94% in the SP. For RP3, Nec was 57 in the UP and 45 in the SP. Genetic diversity losses were attributed mainly (>66%) to genetic drift, except for RP3 in the SP (44%). Conclusions: A reduction of the genetic diversity has been occurring after the Romosinuano breed association was established in Mexico, and this is mainly due to random loss of genes.

Resumen Antecedentes: La raza bovina Romosinuano ha estado prácticamente aislada en México y requiere ser caracterizada para un manejo genético sostenible. Objetivo: Evaluar la evolución de la estructura y diversidad genética de la raza Romosinuano en México, mediante el análisis del pedigrí. Métodos: Los datos genealógicos provinieron de la Asociación Mexicana de Criadores de Ganado Romosinuano y Lechero Tropical (AMCROLET). Los análisis se realizaron con el programa ENDOG (versión 4.8) para dos bases de datos, una que incluyó animales en cruzamiento absorbente (UP) a partir de F1 y la otra con sólo animales puros (SP). Para ambas bases de datos se definieron tres poblaciones de referencia: 1998-2003 (RP1), 2004- 2009 (RP2), y 2010-2017 (RP3). El pedigrí incluyó 3.432 animales en la UP y 1.518 en la SP. Los parámetros demográficos fueron: intervalo generacional (GI), número de generaciones equivalentes (EG), índice de completitud del pedigrí (PCI), y flujo de genes entre hatos. Los parámetros genéticos fueron: coeficientes de consanguinidad (F) y de relación genética aditiva (AR), tamaño efectivo de la población (Nec), número efectivo de fundadores y ancestros, y número equivalente de genomas fundadores. Resultados: El GI varió de 6,10 a 6,54 para la UP, y de 6,47 a 7,16 años para la SP. El EG de la UP y la SP mejoró >63%, de RP1 a RP3. El PCI aumentó a través de los años, pero más para la SP que para la UP. No se encontraron hatos núcleo o aislados. Para RP3, F y AR alcanzaron 2,08 y 5,12% en la UP, y 2,55 y 5,94% en la SP. Para RP3, Nec fue 57 en la UP y 45 en la SP. Más de 66% de las pérdidas en diversidad genética se debieron a deriva genética, excepto para RP3 en la UP (44%). Conclusiones: una reducción de la diversidad genética ha estado ocurriendo después de que se formó la asociación de criadores de ganado Romosinuano en México, y es debida principalmente a pérdidas aleatorias de genes.

Resumo Antecedentes: A raça bovina Romosinuano tem estado praticamente isolada no México e precisa ser caracterizada para um manejo genético sustentável. Objetivo: Avaliar a evolução da estrutura e diversidade genética da raça Romosinuano no México, através da análise de pedigree. Métodos: Os dados genealógicos vieram da Asociación Mexicana de Criadores de Ganado Romosinuano y Lechero Tropical (AMCROLET). As análises foram feitas com o programa ENDOG (versão 4.8) para duas bases de dados, uma que incluiu animais em cruzamento absorvente (UP) a partir da F1 e a outra base de dados somente com animais puros (SP). Para ambas bases de dados foram definidas três populações de referência: 1998-2003 (RP1), 2004-2009 (RP2) e 2010-2017 (RP3). O pedigree incluiu 3.432 animais na UP e 1.518 na SP. Os parâmetros demográficos foram: intervalo entre gerações (GI), número de gerações equivalentes (EG), índice de completude do pedigree (PCI), e fluxo de genes entre rebanhos. Os parâmetros genéticos foram: coeficiente de consanguinidade (F) e da relação genética aditiva (AR), tamanho efetivo da população (Nec), número efetivo de fundadores e ancestrais, e número equivalente de genomas fundadores. Resultados: O GI variou de 6,10 a 6,54 para a UP, e de 6,47 a 7,16 anos para a SP. EG da UP e a SP melhorou >63%, de RP1 a RP3. O PCI aumentou ao longo dos anos, mas mais para a SP do que para o UP. Não se encontraram rebanhos núcleo ou isolados. Para RP3, F e AR alcançaram 2,08 e 5,12% na UP, e 2,55 e 5,94% na SP. Para RP3, Nec foi 57 na UP e 45 na SP. Mais de 66% das perdas em diversidade genética foram ocasionadas pela deriva genética, exceto para RP3 no UP (44%). Conclusões: Depois que a associação da raça Romosinuano foi estabelecida no México, tem ocorrido uma redução da diversidade genética, principalmente devido a perdas aleatórias de genes.

Genealogical data of Boer and Nubian goats in Mexico.

The pedigree file of the Boer and Nubian goat breeds in Mexico was constructed using the national database provided by the Asociación Mexicana de Criadores de Ganado Caprino de Registro. Field technicians routinely updated the goat national database by recording information from flocks participating in the performance-recording system. Information on animal identification number, parents, birth date, sex, breed, and farm of origin were used to undertake pedigree analyses using the ENDOG program (version 4.8). This paper presents a pedigree data file, tables and figures of characteristics of pedigree data, pedigree analyses, pedigree integrity, effective population size and genetic conservation index. The data can be used to estimate other population parameters, to monitor the genetic diversity of the Boer and Nubian goat breeds in Mexico, and also to design balanced breeding programs, maintaining genetic variation at reasonable levels and maximizing genetic progress in these populations.