Genotype by environment interaction due to heat stress in Brown Swiss cattle.

Due to its geographical position and a highly variable orography, Italy is characterized by several climatic areas and thus, by many different dairy cow farming systems. Brown Swiss cattle, in this context, are a very appreciated genetic resource for their adaptability and low metabolic requirement. The significant heterogeneity in farming systems may consist of genotype by environment (G × E) interactions with neglected changes in animals' rank position. The objective of this study was to investigate G × E for heat tolerance in Brown Swiss cattle for several production traits (milk, fat, and protein yield in kilograms; fat, protein, and cheese yield in percentage) and 2 derivate traits (fat-corrected milk and energy-corrected milk). We used the daily maximum temperature-humidity index (THI) range, calculated according to weather stations' data from 2008 to 2018 in Italy, and 202,776 test-day records from 23,396 Brown Swiss cows from 639 herds. Two different methodologies were applied to estimate the effect of the environmental variable (THI) on genetic parameters: (1) the reaction norm model, which uses a continuous random covariate to estimate the animal additive effect, and (2) the multitrait model, which splits each production pattern as a distinct and correlated trait according to the first (a thermal comfort condition), third (a moderate heat stress condition), and fifth (a severe heat stress condition) mean THI value quintile. The results from the reaction norm model showed a descending trend of the additive genetic effect until THI reached the value of 80. Then we recorded an increase with high extreme THI values (THI 90). Permanent environmental variance at increasing THI values revealed an opposite trend: The plot of heritability and the ratio of animal permanent environmental variance to phenotypic variance showed that when the environmental condition worsens, the additive genetic and permanent environmental component for production traits play a growing role. The negative additive genetic correlation between slope and linear random coefficient indicates no linear relationship between the production traits or under heat stress conditions, except for milk yield and protein yield. In tridimensional wireframe plots, the extreme margin decreases until a minimum of ∼0.90 of genetic correlation in the ECM trait, showing that the magnitude of G × E interaction is greater than the other traits. Genetic correlation values in Brown Swiss suggest the possibility of moderate changes in animals' estimated breeding value in heat stress conditions. Results indicated a moderate G × E interaction but significant variability in sire response related to their production level.

The ß-casein (CSN2) A2 allelic variant alters milk protein profile and slightly worsens coagulation properties in Holstein cows.

Milk proteins genetic variants have long attracted interest as they are associated with important issues relating to milk composition and technological properties. An important debate has recently opened at an international level on the role of ß-casein (ß-CN) A1 and A2 polymorphisms, toward human health. For this reason, a lot of efforts has been put into the promotion of A2 milk by companies producing and selling A1-free milk, leading the farmers and breeders to switch toward A2 milk production without paying attention on the potential effect of the processability of milk into cheese. The aim of the present work was to evaluate the effects of ß-CN, specifically the A1 and A2 allelic variants, on the detailed milk protein profile and cheese-making traits in individual milk samples of 1,133 Holstein Friesian cows. The protein fractions were measured with reversed-phase (RP)-HPLC (expressed in g/L and % N), and the cheese-making traits, namely milk coagulation properties, cheese yield, and curd nutrient recoveries assessed at the individual level, with a nano-scale cheese-making procedure. The ß-CN (CSN2), κ-CN (CSN3), and ß-lactoglobulin (LGB) genetic variants were first identified through RP-HPLC and then confirmed through genotyping. Estimates of the effects of protein genotypes were obtained using a mixed inheritance model that considered, besides the standard nuisance variables (i.e., days in milk, parity, and herd-date), the milk protein genes located on chromosome 6 (CSN2, CSN3) and on chromosome 11 (LGB), and the polygenic background of the animals. Milk protein genes (CSN2, CSN3, and LGB) explained an important part of the additive genetic variance in the traits evaluated. The ß-CN A1A1 was associated with a significantly lower production of whey proteins, particularly of ß-lactoglobulin (-8.2 and -6.8% for g/L and % N, respectively) and α-lactalbumin (-4.7 and -4.4% for g/L and % N, respectively), and a higher production of ß-CN (6.8 and 6.1% for g/L and % N, respectively) with respect to the A2A2 genotype. Regarding milk cheese-making ability, the A2A2 genotype showed the worst performance compared with the other genotypes, particularly with respect to the BA1, with a higher rennet coagulation time (7.1 and 28.6% compared with A1A1 and BA1, respectively) and a lower curd firmness at 30 min. Changes in milk protein composition through an increase in the frequency of the A2 allele in the production process could lead to a worsening of the coagulation and curd firming traits.

Genetic parameters of differential somatic cell count, milk composition, and cheese-making traits measured and predicted using spectral data in Holstein cows.

Mastitis is one of the most prevalent diseases in dairy cattle and is the cause of considerable economic losses. Alongside somatic cell count (SCC), differential somatic cell count (DSCC) has been recently introduced as a new indicator of intramammary infection. The DSCC is expressed as a count or a proportion (%) of polymorphonuclear neutrophils plus lymphocytes (PMN-LYM) in milk somatic cells. These numbers are complemented to total somatic cell count or to 100 by macrophages (MAC). The aim of this study was to investigate the genetic variation and heritability of DSCC, and its correlation with milk composition, udder health indicators, milk composition, and technological traits in Holstein cattle. Data used in the analysis consisted in single test-day records from 2,488 Holstein cows reared in 36 herds located in northern Italy. Fourier-transform infrared (FTIR) spectroscopy was used to predict missing information for some milk coagulation and cheese-making traits, to increase sample size and improve estimation of the genetic parameters. Bayesian animal models were implemented via Gibbs sampling. Marginal posterior means of the heritability estimates were 0.13 for somatic cell score (SCS); 0.11 for DSCC, MAC proportion, and MAC count; and 0.10 for PMN-LYM count. Posterior means of additive genetic correlations between SCS and milk composition and udder health were low to moderate and unfavorable. All the relevant genetic correlations between the SCC traits considered and the milk traits (composition, coagulation, cheese yield and nutrients recovery) were unfavorable. The SCS showed genetic correlations of -0.30 with the milk protein proportion, -0.56 with the lactose proportion and -0.52 with the casein index. In the case of milk technological traits, SCS showed genetic correlations of 0.38 with curd firming rate (k20), 0.45 with rennet coagulation time estimated using the curd firming over time equation (RCTeq), -0.39 with asymptotic potential curd firmness, -0.26 with maximum curd firmness (CFmax), and of -0.31 with protein recovery in the curd. Differential somatic cell count expressed as proportion was correlated with SCS (0.60) but had only 2 moderate genetic correlations with milk traits: with lactose (-0.32) and CFmax (-0.33). The SCS was highly correlated with the log PMN-LYM count (0.79) and with the log MAC count (0.69). The 2 latter traits were correlated with several milk traits: fat (-0.38 and -0.43 with PMN-LYM and MAC counts, respectively), lactose percentage (-0.40 and -0.46), RCTeq (0.53 and 0.41), tmax (0.38 and 0.48). Log MAC count was correlated with k20 (+0.34), and log PMN-LYM count was correlated with CFmax (-0.26) and weight of water curd as percentage of weight of milk processed (-0.26). The results obtained offer new insights into the relationships between the indicators of udder health and the milk technological traits in Holstein cows.

Genome-wide association study identified genomic regions and putative candidate genes affecting meat color traits in Nellore cattle.

Single and multiple-trait GWAS were conducted to detect genomic regions and candidate genes associated with meat color traits (L*, lightness; a*, redness; b*, yellowness) in Nellore cattle. Phenotypic records of 5000 animals, and 3794 genotypes for 614,274 SNPs were used. The BLUPF90 family programs were used through single step GWAS approach. The top 10 genomic regions from single-trait GWAS explained 13.64%, 15.12% and 13% of genetic variance of L*, a* and b*, which harbored 129, 70, and 84 candidate genes, respectively. Regarding multiple-trait GWAS, the top 10 SNP windows explained 17.46%, 18.98% and 13.74% of genetic variance of L*, a* and b*, and harbored 124, 86, and 82 candidate genes, respectively. Pleiotropic effects were evidenced by the overlapping regions detected on BTA 15 and 26 associated with L* and a* (genetic correlation of -0.53), and on BTA 18 associated with a* and b* (genetic correlation of 0.60). Similar genomic regions located on BTA 2, 5, 6, and 18 were detected through single and multi-trait GWAS. Overlapped regions harbored a total of 30 functional candidate genes involved in mitochondrial activity, structural integrity of muscles, lipid oxidation, anaerobic metabolism, and muscular pH.

Genomic reaction norm models exploiting genotype × environment interaction on sexual precocity indicator traits in Nellore cattle.

Brazilian beef cattle are raised predominantly on pasture in a wide range of environments. In this scenario, genotype by environment (G×E) interaction is an important source of phenotypic variation in the reproductive traits. Hence, the evaluation of G×E interactions for heifer's early pregnancy (HP) and scrotal circumference (SC) traits in Nellore cattle, belonging to three breeding programs, was carried out to determine the animal's sensitivity to the environmental conditions (EC). The dataset consisted of 85 874 records for HP and 151 553 records for SC, from which 1800 heifers and 3343 young bulls were genotyped with the BovineHD BeadChip. Genotypic information for 826 sires was also used in the analyses. EC levels were based on the contemporary group solutions for yearling body weight. Linear reaction norm models (RNM), using pedigree information (RNM_A) or pedigree and genomic information (RNM_H), were used to infer G×E interactions. Two validation schemes were used to assess the predictive ability, with the following training populations: (a) forward scheme-dataset was split based on year of birth from 2008 for HP and from 2011 for SC; and (b) environment-specific scheme-low EC (-3.0 and -1.5) and high EC (1.5 and 3.0). The inclusion of the H matrix in RNM increased the genetic variance of the intercept and slope by 18.55 and 23.00% on average respectively, and provided genetic parameter estimates that were more accurate than those considering pedigree only. The same trend was observed for heritability estimates, which were 0.28-0.56 for SC and 0.26-0.49 for HP, using RNM_H, and 0.26-0.52 for SC and 0.22-0.45 for HP, using RNM_A. The lowest correlation observed between unfavorable (-3.0) and favorable (3.0) EC levels were 0.30 for HP and -0.12 for SC, indicating the presence of G×E interaction. The G×E interaction effect implied differences in animals' genetic merit and re-ranking of animals on different environmental conditions. SNP marker-environment interaction was detected for Nellore sexual precocity indicator traits with changes in effect and variance across EC levels. The RNM_H captured G×E interaction effects better than RNM_A and improved the predictive ability by around 14.04% for SC and 21.31% for HP. Using the forward scheme increased the overall predictive ability for SC (20.55%) and HP (11.06%) compared with the environment-specific scheme. The results suggest that the inclusion of genomic information combined with the pedigree to assess the G×E interaction leads to more accurate variance components and genetic parameter estimates.

Heritability and genotype-environment interactions for growth curve parameters in meat-type quail fed different threonine:lysine ratios from hatching to 21 d of age.

The aim of the present study was to estimate heritabilities and evaluate the existence of genotype-environment interactions for growth curve parameters in quail fed diets containing different threonine:lysine ratios. A total of 4,441 body weight information from two genetic quail groups (LF1 and LF2) fed diets containing 0.66%, 0.71%, 0.76%, 0.81%, and 0.86% threonine:lysine ratios from hatching to 21 d of age were evaluated. From 22 to 35 d of age, quail received a single diet. The Gompertz model was used to estimate growth curve parameters. Genetic analyses were performed using random regression models, by Legendre polynomials of the second kind, considering homogeneity of residual variances. The following characteristics were evaluated: asymptotic weight, asymptotic growth rate, and inflection point. Increases in threonine:lysine ratios promoted higher heritability estimates for these variables in the LF1 genetic group compared to LF2, which indicates that the additive genetic variation was modified due to the environmental variation influenced by the evaluated amino acid ratios, with differences between both genetic groups. Thus, it is recommended that quail be selected in the 0.86% ratio in genetic group LF1 and 0.66% in genetic group LF2, where greater heritabilities were observed. Dispersion of individual breeding values along the environmental gradient was observed for all evaluated characteristics, in both genetic groups, suggesting the existence of genotype-environment interactions for these variables. The evaluated amino acid ratios should be considered in quail breeding programs, since breeding value predictions for a determined threonine:lysine ratio are not valid for other ratios.

Genetic evaluation and selection response for growth in meat-type quail through random regression models using B-spline functions and Legendre polynomials.

The objective was to estimate (co)variance functions using random regression models (RRM) with Legendre polynomials, B-spline function and multi-trait models aimed at evaluating genetic parameters of growth traits in meat-type quail. A database containing the complete pedigree information of 7000 meat-type quail was utilized. The models included the fixed effects of contemporary group and generation. Direct additive genetic and permanent environmental effects, considered as random, were modeled using B-spline functions considering quadratic and cubic polynomials for each individual segment, and Legendre polynomials for age. Residual variances were grouped in four age classes. Direct additive genetic and permanent environmental effects were modeled using 2 to 4 segments and were modeled by Legendre polynomial with orders of fit ranging from 2 to 4. The model with quadratic B-spline adjustment, using four segments for direct additive genetic and permanent environmental effects, was the most appropriate and parsimonious to describe the covariance structure of the data. The RRM using Legendre polynomials presented an underestimation of the residual variance. Lesser heritability estimates were observed for multi-trait models in comparison with RRM for the evaluated ages. In general, the genetic correlations between measures of BW from hatching to 35 days of age decreased as the range between the evaluated ages increased. Genetic trend for BW was positive and significant along the selection generations. The genetic response to selection for BW in the evaluated ages presented greater values for RRM compared with multi-trait models. In summary, RRM using B-spline functions with four residual variance classes and segments were the best fit for genetic evaluation of growth traits in meat-type quail. In conclusion, RRM should be considered in genetic evaluation of breeding programs.

Polymorphism in the Beta Casein Gene and analysis of milk characteristicsin Gir and Guzerá dairy cattle.

Several human health problems have been related to the allergenic constitution of bovine milk due to the body's immune reaction to milk proteins. It is necessary find solutions to minimize the occurrence of such reactions, given the importance of milk as a source of animal protein. The aim of this study was to evaluate the allelic frequency of the CSN2 gene and to evaluate differences in the characteristics of Gir and Guzerá bovine milk. One hundred and fifty-six cows were used (68 Gir and 88 Guzerá) from the Felipe Camarão Experimental Station herd of the Agricultural Research Corporation of RN (EMPARN). DNA extractions were carried out from hair follicles of the animals; the gene was then amplified and sequenced in an ABI 3100 automatic sequencer. The obtained sequences were submitted to analysis using the Geneious 5.6.5® program. Data were submitted to analysis of variance and to the Tukey-Kramer test at 5% probability and cluster analyses by main components were performed. Allele frequencies were 98 and 97% for the A2 allele and 0.96 and 0.93% for the genotype A2A2 for Gir and Guzerá, respectively. Gir and Guzerá animals showed differences in protein, lactose, and non-fat dry extract levels. Although correlations between milk yield and the production and some milk components are moderate, increases in milk yield are always greater than the increase in constituent yield. In addition, even though Guzerá animals have a higher percentage of protein, lactose, and non-fat dry extract, milk from Zebu breeds is an alternative for individuals sensitive to ß-casein protein.

Sensitivity of breeding values for carcass traits of meat-type quail to changes in dietary (methionine + cystine):lysine ratio using reaction norm models.

Our objective was to evaluate changes in breeding values for carcass traits of two meat-type quail (Coturnix coturnix) strains (LF1 and LF2) to changes in the dietary (methionine + cystine):lysine ([Met + Cys]:Lys) ratio due to genotype by environment (G × E) interaction via reaction norm. A total of 7000 records of carcass weight and yield were used for analyses. During the initial phase (from hatching to day 21), five diets with increasing (Met + Cys):Lys ratios (0.61, 0.66, 0.71, 0.76 and 0.81), containing 26.1% crude protein and 2900 kcal ME/kg, were evaluated. Analyses were performed using random regression models that included linear functions of sex (fixed effect) and breeding value (random effect) for carcass weight and yield, without and with heterogeneous residual variance adjustment. Both fixed and random effects were modelled using Legendre polynomials of second order. Genetic variance and heritability estimates were affected by both (Met + Cys):Lys ratio and strain. We observed that a G × E interaction was present, with changes in the breeding value ranking. Therefore, genetic evaluation for carcass traits should be performed under the same (Met + Cys):Lys ratio in which quails are raised.

Lisina digestível na ração de frangos de corte tipo caipira na fase de crescimento / Dietary digestible lysine in free-range broiler chickens during the growth phase

O presente experimento foi conduzido para determinar as exigências de lisina digestível para frangos de corte (linhagem Redbro), machos e fêmeas, durante o período de crescimento. Foram utilizados 630 frangos, alojados em 30 boxes com acesso à área de pastejo. O delineamento experimental utilizado foi o inteiramente ao acaso, em esquema fatorial 5x2 (lisina e sexo), e três repetições com 21 aves cada. Os níveis de lisina digestível avaliados foram: 7,07; 8,07; 9,07; 10,07 e 11,07g/kg. Avaliou-se o consumo de lisina, o consumo de ração, o ganho de peso e a conversão alimentar. Observou-se efeito de interação (P<0,05) entre os níveis de lisina e sexo para o ganho de peso. Houve efeito (P<0,01) dos níveis de lisina sobre o consumo de lisina, o ganho de peso e a conversão alimentar. Verificou-se que todas as variáveis foram influenciadas (P<0,05) pelo sexo dos frangos. Recomendam-se 10,08 e 9,49g de lisina digestível/kg de ração, correspondendo ao consumo estimado de 21 e 20g de lisina, para machos e fêmeas, respectivamente, para melhor ganho de peso das aves. Para melhor conversão alimentar, recomendam-se 9,61g de lisina digestível/kg, para frangos de ambos os sexos, correspondendo ao consumo estimado de 20g de lisina.(AU)

This experiment was conducted to determine the requirements of digestible lysine in male and female free-range broiler chickens (Redbro lineage) during the growth phase. Six hundred and thirty broiler chickens were allocated in 30 pens with access to the pasture area. The experimental design was completely randomized in a 5x2 (lysine and gender) factorial arrangement with 3 repetitions with 21 chickens each. The levels of digestible lysine evaluated were: 7.07, 8.07, 9.07, 10.07 and 11.07g/kg. The performance traits evaluated were lysine intake, feed intake, weight gain and feed conversion ratio. An interaction effect (P<0.05) was observed between dietary lysine level and gender for body weight gain. There was an effect (P<0.01) of the levels of lysine on lysine intake, body weight gain and feed conversion ratio. It was found that all the variables were affected (P<0.05) for the gender of chickens. We recommended 10.08 and 9.49 g of digestible lysine/kg diet, corresponding to the estimated intake of 21 and 20g of lysine, for males and females, respectively, for better body weight gain of chickens. For better feed conversion ratio, the recommendation is of 9.61 g of lysine/kg of diets, for chickens of both genders, corresponding to the estimated intake of 20g of lysine.(AU)

Modelos de norma de reação para estudo das características de qualidade da carne de codornas de corte em função das razões (metionina + cistina): lisina da dieta / Reaction norm models for the study of meat quality of european quail in function of (methionine + cysteine): lysine diet ratio

Objetivou-se avaliar a sensibilidade dos valores genéticos para características de qualidade da carne em codornas de corte alimentadas com dietas contendo diferentes relações de (metionina + cistina): lisina, do nascimento aos 21 dias de idade, por meio de modelos de normas de reação. Utilizaram-se 9011 informações de qualidade de carne referentes a 1400 progênies de 80 reprodutores e 160 matrizes de duas linhas (LF1 e LF2). Para o ajuste dos modelos de regressão aleatória, foi usado o programa WOMBAT, considerando-se nas análises homogeneidade de variância residual. As codornas foram alimentadas do nascimento aos 21 dias de idade com dietas contendo as relações 0,61; 0,66; 0,71; 0,76 e 0,81 de (metionina + cistina): lisina, mantendo os níveis de proteína bruta de 26,12% e de energia em 2900 kcal EM/kg da dieta. Dos 22 aos 35 dias de idade, todas as codornas foram alimentadas com dieta contendo 22% de proteína bruta e 3050 kcal EM/kg da dieta. As estimativas da variância genética e da herdabilidade foram influenciadas pelo gradiente ambiental e pela linha, com mudanças nessas estimativas com o aumento do gradiente ambiental. Os valores genéticos das características de qualidade de carne referentes a cada uma das linhas se alteraram com o aumento das relações de aminoácidos das dietas em razão das mudanças no ordenamento dos valores genéticos, evidenciando a existência da interação genótipo x nível de relação dos aminoácidos da dieta para características de qualidade de carne. Predições de valores genéticos de características de qualidade de carne com base em determinada relação de (metionina + cistina): lisina da dieta não são válidas para outras relações desses aminoácidos.

This study aimed to evaluate the sensitivity of breeding values for meat quality traits of European quails fed different (methionine + cystine): lysine ratio diets from hatch to 21 days of age, using reaction norm models. A total of 9011 meat quality records from 1400 progenies of 80 sires and 160 dams from two lines (LF1 and LF2) were used in the analyses considering homogeneity of residual variance. The quails from hatch to 21 days of age were fed diets containing 0.61, 0.66, 0.71, 0.76 and 0.81 (methionine + cystine): lysine ratios, 26.12% of crude protein and 2900 ME/kcal of diet. From 22 to 35 days of age all quail were fed a diet containing 22% of crude protein and 3050 kcal ME/kg of diet. The random regression model analyses was performed using the WOMBAT program considering homogeneity of residual variance. Genetic variance and heritability estimates were affected by the environment gradient of diet and line, increasing these estimates with the increase of the (methionine + cystine): lysine ratio of the diet. The breeding values changed with the increase of the environment gradient of the diet with changes in the rank of genetic breeding values characterizing the existence of genotype by environment interaction for meat quality traits. Predictions of meat quality trait breeding values based on a given (methionine + cystine): lysine ratio are not valid for other levels of the amino acid ratio.

Crescimento de codornas de diferentes grupos genéticos por meio de modelos não lineares / Growth comparison of different genetic groups using nonlinear models

Objetivou-se com o presente trabalho ajustar modelos não lineares para descrever o padrão de crescimento de genótipos de codornas de corte e de postura do nascimento aos 35 dias de idade. Foram utilizados dados de 1280 codornas machos e fêmeas, provenientes de sete genótipos de codornas de corte (EV1, EV2, UFV1, UFV2, UFV3, LF1, LF2) e um de postura. Todas as codornas foram pesadas a cada sete dias, do nascimento aos 35 dias de idade. Foram ajustados os modelos Brody, Gompertz, Logístico, Richards e von Bertalanffy aos dados de peso corporal de todos os genótipos. As análises estatísticas foram realizadas utilizando-se o PROC NLIN do SAS (Statistical Analysis System, versão 9.0). Os critérios empregados para a escolha do melhor modelo para descrever a curva de crescimento foram o coeficiente de determinação ajustado (R2), o desvio padrão assintótico (DPA), o desvio médio absoluto dos resíduos (DMA), o índice assintótico (IA), o critério de informação bayesiano (BIC), o critério de Akaike (AIC) e o quadrado médio do erro (QME). Todos os modelos não lineares testados convergiram, com exceção do modelo Brody, que não convergiu para nenhum genótipo avaliado. O modelo Richards não convergiu para o genótipo postura. Os parâmetros da curva de crescimento estimados pelos modelos indicaram maior precocidade, em geral, do genótipo postura comparado aos demais genótipos. O modelo Richards apresentou superestimação do ponto de inflexão para todos os genótipos, exceto para o genótipo postura. Os modelos Gompertz, Logístico e von Bertalanffy são recomendados para descrever o crescimento de codornas de corte dos grupos genéticos em estudo. O modelo Brody não convergiu, por isso não é recomendado para descrever o crescimento dos grupos genéticos de codornas em estudo.

This work aimed to adjust nonlinear models to describe the growth pattern of meat type and posture quail genotypes from hatch to 35 days of age. A total of 1280 male and female quails from EV1, EV2, UFV1, UFV2, UFV3, LF1 and LF2 and Posture genotypes were weighed every seven days, from hatch to 35 days of age. Brody, Gompertz, Logistic, von Bertalanffy and Richards models were used to fit the growth of the genetic groups. Statistical analyses were performed using PROC NLIN of SAS (Statistical Analysis System, version 9.0). The criteria used to select the model showing the best goodness of fit to the growth of the genotypes were: Adjusted Coefficient of Determination (R2), Asymptotic Standard Deviation (DPA), Absolut Mean Deviation (DMA), Asymptotic Index (AI), Bayesian Information Criterion (BIC), Akaike Information Criterion (AIC) and Errors Mean Square (MSE). All nonlinear models converged for the studied genotypes, except Richard the model for the Posture genotype. In general, the estimated parameters for the growth curve using nonlinear models suggested higher precocity for the Posture genotype in comparison to meat type genotypes. The Richard model overestimates the inflection point for all genotypes, except for the Posture genotype. The Gompertz, Logistic and von Bertalanffy are recommended to describe the growth patterns of the studied quail genetic groups. The Brody model did not converge and is not recommended to describe the genetic growth of the studied groups.

Características de desempenho e de carcaça em diferentes genótipos de codornas de corte / Performance and carcass traits of different meat type genotypes

Objetivou-se com este trabalho comparar e correlacionar as características de desempenho e de carcaça em codornas de corte do nascimento aos 35 dias de idade. Foram utilizadas 1176 codornas de um dia, machos e fêmeas, de sete genótipos de codornas de corte (EV1, EV2, UFV1, UFV2, UFV3, LF1 e LF2), distribuídas em delineamento inteiramente ao acaso, com ensaio fatorial 7x2 (genótipo x sexo), em sete repetições com 12 codornas por unidade experimental. As codornas foram pesadas individualmente do nascimento aos 35 dias de idade, em intervalos semanais. Aos 35 dias de idade, dois machos e duas fêmeas de cada genótipo e repetição foram amostrados e abatidos para avaliação do peso de carcaça e dos cortes nobres. As análises estatísticas foram conduzidas utilizando-se o procedimento GLM e CORR com a opção MANOVA do SAS para avaliar as diferenças entre os genótipos e a correlação entre as variáveis. Não houve interação (P≥0,05) entre genótipo e sexo para as características de desempenho (peso e ganho de peso nas diferentes idades). Entretanto, houve efeito significativo da interação genótipo x sexo (P<0,05) para as características de pesos de carcaça, peito e coxa+sobrecoxa. Em geral, as codornas dos grupos genéticos UFV1, UFV2 e UFV3 foram as mais pesadas dos sete aos 35 dias de idade e apresentaram maiores rendimentos de carcaça. Como observado pelas correlações fenotípicas, a tendência é que codornas que apresentam maior peso corporal e ganho de peso irão apresentar maior peso de carcaça e dos seus principais cortes.(AU)

This study was carried out to compare and relate the performance and carcass traits of different quail genotypes from hatch to 35 days of age. A total of 1176 one-day-old quails of both sexes were allotted in a completely randomized experimental design, in a 7x2 factorial scheme (genotypes x sexes), in seven replicates with 12 quails per experimental unit. Quails of each genotype were weighed weekly from hatch to 35 days of age. At 35 days of age two males and two females of each genotype and replicate were sampled and slaughtered to evaluate carcass weight and main cut yield. Statistical analyses were performed by GLM and CORR procedure from the Statistical Analysis System (SAS, 2000, version 9.0), with the MANOVA option of the SAS device to assess the differences between the genotypes and the correlation between variables. There was no interaction (P≥0.05) between genotype and sex with the performance characteristics of weight and weight gain. However, there was a significant effect of genotype x sex (P<0.05) for the characteristics carcass,breast, thigh and drumstick weights. In general, quails of genetic groups UFV1, UFV2 and UFV3 were heavier from 7 to 35 days of age. We observed that for the correlation the tendency is that quail that showed higher body weight and weight gain will have greater housing and main cuts weight.(AU)