Box–Cox Transformation and Random Regression Models for Fecal egg Count Data

Accurate genetic evaluation of livestock is based on appropriate modeling of phenotypic measurements. In ruminants, fecal egg count (FEC) is commonly used to measure resistance to nematodes. FEC values are not normally distributed and logarithmic transformations have been used in an effort to achieve normality before analysis. However, the transformed data are often still not normally distributed, especially when data are extremely skewed. A series of repeated FEC measurements may provide information about the population dynamics of a group or individual. A total of 6375 FEC measures were obtained for 410 animals between 1992 and 2003 from the Beltsville Agricultural Research Center Angus herd. Original data were transformed using an extension of the Box–Cox transformation to approach normality and to estimate (co)variance components. We also proposed using random regression models (RRM) for genetic and non-genetic studies of FEC. Phenotypes were analyzed using RRM and restricted maximum likelihood. Within the different orders of Legendre polynomials used, those with more parameters (order 4) adjusted FEC data best. Results indicated that the transformation of FEC data utilizing the Box–Cox transformation family was effective in reducing the skewness and kurtosis, and dramatically increased estimates of heritability, and measurements of FEC obtained in the period between 12 and 26 weeks in a 26-week experimental challenge period are genetically correlated

Infrared thermography as a method for evaluating the heat tolerance in dairy cows

The objective of this study was to determine whether infrared thermography is a useful tool for the recognition of dairy cows in a state of thermal heat stress, as well as to identify the best region of the animal to be evaluated for this recognition. Physiological variables, including rectal temperature, respiratory frequency, cardiac frequency, and panting score were recorded in 38 lactating cows. For the assessment of environmental parameters, a digital black globe thermometer (TGD-200 model) was used. Thermographic photographs of different regions of the body of cows were taken using an infrared camera (FLIR® System T300) and indicated respective superficial temperature. Physiological variables and superficial body temperature in different regions varied between genetic groups (Girolando: ½ Holstein × ½ Gir and ¾ Holstein × ¼ Gir; purebred Holstein). The environmental temperature ranged from 20.7 to 37.9 °C with a relative humidity reaching 95%. The mean rectal temperature (40.84 °C), respiratory frequency (111.36 breaths/min), and cardiac frequency (99.22 beats/min) were higher for pure Holstein than for Girolando cows. Positive correlations were found between the physiological parameters and thermographic measures. The highest positive correlation (0.74) was found between the temperature in the lateral region of the udder and rectal temperature. Thermography is a good indicator of thermal comfort. The best region to identify heat stress in cows using thermography is the lateral region of the udder

Retelling the recent evolution of genetic diversity for Guzerá: Inferences from LD decay, runs of homozygosity and Ne over the generations

[EN] Genetic diversity is the one of the most important issues in conservation studies of livestock breeds or endangered species. In the present study, we tested the feasibility of describing the recent evolution in genetic diversity through genome-wide SNP genotyping and estimates of linkage disequilibrium decay patterns, effective population size, inbreeding coefficient based on runs of homozygosity and population structure. We choose the bovine indicine breed Guzerá because it has suffered recent bottlenecks which have been registered historically. A sample of 1036 females was genotyped using Illumina BovineSNP50. A resampling strategy was applied to correct for sampling biases caused by the population structure in herds, and by the extensive use of some sires for artificial reproduction. A subsample of 210 animals and 32,806 markers with MAF > 0.01 was used. Very low linkage disequilibrium was detected for distances greater than 120 Kb between two markers. Furthermore, three points of decrease in effective population size between generations were detected, which coincide with the historically registered bottlenecks. The inbreeding coefficient, based on runs of homozygosity, confirmed a strong contribution of the last 20–30 generations to current inbreeding. In the population structure analysis, the most probable number of sub-populations is 2, reflecting selection purpose (beef or dual-purpose). Taken together, these results allow a retelling of the recent evolution of this breed. The strategy described here will be useful for other breeds or even species for which a careful historical registry is not available for conservation proposals.SIWe thank to the farmers, who allowed the development of this project in their farms. We thank to Mr. Peter Laspina for reviewing language review and valuable comments. This study was supported by Fundação de Amparo a Pesquisa de Minas Gerais (FAPEMIG), Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) and Empresa Brasileira de Pesquisa Agropecuária (Embrapa). Marcos V. B. Silva was supported by the Embrapa – SEG 02.09.07.008.00.00 “Genomic Selection in Dairy Cattle in Brazil”, CNPq PVE 407246/2013-4 “Genomic Selection in Dairy Gyr and Girolando Breeds”, and FAPEMIG CVZ PPM 00395/14 “Genomic Selection in Brazilian Dairy Breeds” appropriated projects. MRSC has a fellowship from the CNPq – 307975/2010-0 and was supported by CNPq – 505338/2008-A and 481018/2008-5 projects. MGCDP, RVV, MAM have fellowships from FAPEMIG. PASF, FCS and ICR have CAPES fellowships