Factor analysis for genetic evaluation of linear type traits in dual-purpose autochthonous breeds.

@article{Mazza2016FactorAF,
  title={Factor analysis for genetic evaluation of linear type traits in dual-purpose autochthonous breeds.},
  author={Serena Mazza and N Guzzo and Cristina Sartori and Roberto Mantovani},
  journal={Animal : an international journal of animal bioscience},
  year={2016},
  volume={10 3},
  pages={
          372-80
        }
}
Factor analysis was applied to individual type traits (TT) scored in primiparous cows belonging to two dual purpose Italian breeds, Rendena (REN; 20 individual type traits evaluated on 11 399 first parity cows), and Aosta Red Pied (ARP; 22 individual type traits evaluated on 36 168 primiparous cows). Six common latent factors (F1 to F6; eigenvalues ⩾1) which explained 63% (REN) and 58% (ARP) of the total variance were obtained. F1 included TT mainly related to muscularity, and F2 to body size… 

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References

SHOWING 1-10 OF 32 REFERENCES

Genetic parameters for linear type traits in the Rendena dual-purpose breed.

The results suggest that the characteristics of the dual-purpose Rendena cattle are becoming more like specialized milk-producing animals, and sufficient genetic variation exists to halt or reverse the deterioration in fleshiness.

Multiple-Trait Estimation of Variance Components of Yield and Type Traits Using an Animal Model

Dairy form had the largest genetic correlations with yield traits, which ranged from .59 with milk to .68 with fat, and type traits were positive; exceptions were fore Udder attachment, udder depth, and front teat placement.

Factor analysis for evaluating relationships between first lactation type scores and production data of Holstein dairy cows.

Investigation of factor analyses to relate type scores and production indicated that herdmate deviation milk and fat are more closely related to characteristics of the mammary system than they are to body traits.

Prediction of transmitting abilities for Holstein type traits.

Heritabilities and genetic and phenotypic correlations among 14 linear type traits were estimated from Holstein Association data by multiple trait REML and an improved genetic grouping procedure that considers group effects as inherited was adapted for use in sire models.

Comparison between factor analysis from a phenotypic and genetic correlation matrix using linear type traits of Holstein dairy cows.

Data on 18 linear type scores and production data for 43,428 records by 228 sires were used to compare two different factor-analyses procedures and showed some difference for the basic rank of factor influence on production and herdlife.

Phenotypic Factor Analysis for Linear Type Traits in Beijing Holstein Cows

Principal component and factor analyses are useful to clarify the relationships among type traits.

A multivariate approach to modeling shapes of individual lactation curves in cattle.

The suitability of the 2 factors as descriptors of lactation patterns has been confirmed by the relationships found between factor scores and the main environmental effects known to affect the shape of the lactation curve, such as parity and season of calving.

A comparison of principal component analysis and factor analysis strategies for uncovering pleiotropic factors

It was found that using residuals in PCA or FA analyses greatly increased the probability that the PCs or factors detected common genetic components instead of common environmental factors, except if there was statistical interaction between genetic and environmental factors.