Abstract:Several research studies confirm the association of the linear type traits with longevity, but only with one trait at a time. The aim of our study was to analyse the influence of combinations for linear type traits on longevity in the Hungarian Holstein-Friesian cows. Data were provided by four herds; the filtered dataset consisted of 17,717 cows. From the 14 available linear type traits, the most important combinations were identified based on principal components and cluster analysis. From the six identified… Show more
“…A positive relationship between udder parameter assessment indicators and milk yields is found especially often (Djedović et al, 2020). To varying degrees, the evaluated features also correlate with each other and have high variability (Rovegliaa et al, 2019;Török et al, 2021;Khmelnychyi & Kagrepko, 2021).…”
Журнал включено до міжнародних наукометричних баз і каталогів наукових видань: Index Copernicus; Directory of Open Access Journals (DOAJ); Open Academic Journals Index (OAJI); Google Scholar; Crossref; Національна бібліотека України імені В.І. Вернадського, AGRICOLA, CAB Abstracts and Global Health (CABI), Open Academic Journals Index, Scopus.
“…A positive relationship between udder parameter assessment indicators and milk yields is found especially often (Djedović et al, 2020). To varying degrees, the evaluated features also correlate with each other and have high variability (Rovegliaa et al, 2019;Török et al, 2021;Khmelnychyi & Kagrepko, 2021).…”
Журнал включено до міжнародних наукометричних баз і каталогів наукових видань: Index Copernicus; Directory of Open Access Journals (DOAJ); Open Academic Journals Index (OAJI); Google Scholar; Crossref; Національна бібліотека України імені В.І. Вернадського, AGRICOLA, CAB Abstracts and Global Health (CABI), Open Academic Journals Index, Scopus.
“…Body conformation traits are closely related to economically important traits, such as milk production [ 7 ], reproduction [ 8 ], health [ 9 ], profitability [ 10 ], and lifespan [ 11 ]. Therefore, studying the genetics of body conformation traits is as important as other production traits from an economic perspective.…”
In this study, we estimated the genetic parameters for 6 composite traits and 27 body conformation traits of 1016 dual-purpose Simmental cattle reared in northwestern China from 2010 to 2019 using a linear animal mixed model. To integrate these traits, a variety of methods were used as follows: (1) genetic parameters estimates for composite and individual body conformation traits based on the pedigree relationship matrix (A) and combined genomic-pedigree relationship matrix (H); (2) factor analysis to explore the relationships among body conformation traits; and (3) genetic parameters of factor scores estimated using A and H, and the correlations of EBVs of the factor scores and EBVs of the composite traits. Heritability estimates of the composite traits using A and H were low to medium (0.07–0.47). The 24 common latent factors explained 96.13% of the total variance. Among factors with eigenvalues ≥ 1, F1 was mainly related to body frame, muscularity, and rump; F2 was related to feet and legs; F3, F4, F5, and F6 were related to teat placement, teat size, udder size, and udder conformation; and F7 was related to body frame. Single-trait analysis of factor scores yielded heritability estimates that were low to moderate (0.008–0.43 based on A and 0.04–0.43 based on H). Spearman and Pearson correlations, derived from the best linear unbiased prediction analysis of composite traits and factor scores, showed a similar pattern. Thus, incorporating factor analysis into the morphological evaluation to simplify the assessment of body conformation traits may improve the genetics of dual-purpose Simmental cattle.
“…In animal science, the most obvious application possibility is to analyze longevity (Baginé Hunyadi et al, 2016a;Soltész et al, 2016;Török et al, 2021) where longevity is describing productivity and usually covers the period between first parturition and culling. Longevity has high economic importance as culling of the animals is involuntary and related to developing certain diseases or leg problems (Balogh et al, 2015).…”
The application efficiency of several statistical methods was tested based on an open field behavior test of mice. The examined trait was the duration time until the animals approached the experimenter’s hand. The available time was fixed in 300 seconds. There were monitored 80 mice belonging to two different species of the Mus genus in equal proportion. Besides, male and female and young and adult animals have also represented the evaluated groups in equal proportions. The data of the examined trait was analyzed with Generalized Linear Models, Kaplan-Meier survival curves, and with Cox Proportional hazard model. The applied statistical procedure provided completely discordant results. According to the GLM results none of the examined factors (species, sex, and age) had significant effects on the examined variable. On the contrary, all factors proved to be significant using a procedure based on the survival analysis. Kaplan-Meier survival curves indicated a higher proportion of individuals successfully approaching the experimenter’s hand in all of the compared groups representing different species sexes and ages, respectively. The estimated Cox regression coefficients were significant indicating the significant effects of the species, sex, and age on the investigated trait. Based on the estimated Hazard ratios the probability that in the next time unit a successful approach of the experimenter’s hand would occur is three times more likely for one species than the other, twice as much for males and the juveniles than for the females and for the adults. Based on the present study it could be concluded that the successful approach of the experimenter’s hand by the mice is clearly “time to event data” thus it is suitable to be analyzed with survival analysis procedures. It could be concluded that applying conventional GLM was not adequate because due to the lack of the successful approach and approach times the censored data should not be used and thus the sample size would largely be reduced.
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