Associação de SNPs nos genes para κ-caseína e β-lactoglobulina com curvas de lactação em cabras leiteiras

Cardona, Samir Julián Calvo; Álvarez, José Marcos Alonso; Sarmento, José Lindenberg Rocha; Herrera, Luis Gabriel González; Cadavid, Henry Cardona

doi:10.1590/s0100-204x2015000300006

Cited by 7 publications

(3 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The descriptive statistics for the lactation curves traits (cumulative production at 210 days Lactation (P210), peak production (PP), and persistence (PER)) in goats of the Colombian tropics in the Department of Antioquia are presented in Table 1. The averages for the traits P210, PP, and PER were 318 Kg, 2.56 Kg, and 70.46%, respectively; these values are within the range reported for dairy goats (Cañas Álvarez et al, 2009;Cardona et al, 2015). Model comparison, variance components, and heritabilities: During the chain analysis, all the values of the additive genetic variance, residual, and heritability converged (Z-score value and the Geweke p-value) for all the tested models: i) MAPED (considered only pedigree data), ii) MAgPEDCLUS (considered pedigree and molecular genetic groups as xed effects), iii) MMMOL (considered genomic relationships), and iv) MAgMOLCLUS (considered genomic relationships and molecular genetic groups as xed effects).…”

Section: Phenotypic Datasupporting

confidence: 83%

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

Cardona,

García-Baccino,

Escobar-Restrepo

et al. 2024

Trop Anim Health Prod

Self Cite

View full text Add to dashboard Cite

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 xed 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 ve 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 tting of the models that include molecular information either as xed (genetic clusters) or as random (molecular matrix) effects.The molecular information of simple markers can complement genetic improvement strategies in populations with little information.

show abstract

Section: Phenotypic Datasupporting

confidence: 83%

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

Cardona,

García-Baccino,

Escobar-Restrepo

et al. 2024

Trop Anim Health Prod

Self Cite

View full text Add to dashboard Cite

show abstract

“…The average yield was calculated every 20 days until 310 days of lactation. Seventeen lactation-curve modelsnamed after the authors of each study -were used to analyze the behavior of the lactation curves (Table 1), as adapted from Calvo Cardona et al (2015).…”

Section: Methodsmentioning

confidence: 99%

Linear and nonlinear models to describe the lactation curve of Girolando cows

Rosa

Fernandes

Lima

et al. 2022

Pesq. agropec. bras.

View full text Add to dashboard Cite

The objective of this work was to compare the main linear and nonlinear models used to describe lactation curves and to evaluate the nonlinearity of the nonlinear models, in order to obtain the most adequate model to describe the lactation curves of the Girolando breed. Data from 165 lactations of 89 3/4 Holstein + 1/4 Gyr cows were used, and average yield was calculated every 20 days up to 310 days of lactation. Seventeen models of lactation curves available in the literature were compared. The selection of the best model was based on the curvature measures of Bates & Watts, the bias of Box, adjusted coefficient of determination, Akaike’s information criterion, and residual standard deviation. The linear model of Cobuci estimated a yield peak of 16.7 kg at 40 days of lactation, whereas the nonlinear model of Wood estimated a yield peak of 16.8 kg at 41 days of lactation and a persistence of 6.82. Nonlinearity measures were the most appropriate for selecting the most suitable nonlinear model for the description of lactation curves. To describe the lactation curves of the Girolando breed, the most suitable linear model is that of Cobuci and the nonlinear model is that of Wood.

show abstract

“…Where, is the parameter evaluated for growth in animal i; μ is the general mean of the evaluated traits, and are the fixed effects of herd, season of birth, year of birth and sex of the individuals, respectively. is the effect of the marker variant of the individually evaluated SNPs and is the random error associated with each observation (Cardona et al, 2015). The lm function was used and the means of the genotypes were compared using the lsmeans package (Lenth, 2016), through the Tukey test in the R software (R Core Team, 2020).…”

Section: Association Of Snps With the Variation Of The Growth Curve F...mentioning

confidence: 99%

Effect of IGF-1 and LEP/ob SNPs on growth parameters of Blanco Orejinegro cattle

Londoño-Gil

Herrera

et al. 2022

RevFacAgron(LUZ)

View full text Add to dashboard Cite

The aim of this work was to identify the effect of some SNPs of the IGF-1 and LEP/ob genes, on the growth in animals of the Blanco Orejinegro creole breed (BON) and to evaluate the relationship of age at first calving (AFC) with the curve trajectory. For this, 1217 phenotypic and 439 genomic records of pure BON bovines were used. The Gompertz, Logistic, Von Bertalanffy and Brody models were evaluated. The individual growth curve parameters were estimated and the effect of SNPs of the IGF-1 and LEP/ob genes on the curve parameters was estimated through a linear model. Finally, the association of the curve parameters and the AFC was analyzed trough a linear model. The model that represented the best fit to the growth trajectory was Brody's. On average, the BON animals presented an adult weight (β0) of 479.9±7.4 kg and a growth rate expressing the daily weight gain as a proportion of the total weight (β2) of 0.002±0.00004. The SNPs rs110654613 (nucleotide change A/G) and rs110959643 (A/G), within the IGF-1 gene, showed a significant effect (p<0.05) on the parameters of the BON cattle growth curve. There were no associations of LEP/ob gene SNPs on the parameters of the BON cattle growth curve. AFC was significantly associated (p<0.05) with the parameters β0 and β2. It is concluded that the use of genomic information for the IGF-1 gene can lead to higher growth rates and earlier.

show abstract

Associação de SNPs nos genes para κ-caseína e β-lactoglobulina com curvas de lactação em cabras leiteiras

Cited by 7 publications

References 36 publications

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

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

Linear and nonlinear models to describe the lactation curve of Girolando cows

Effect of IGF-1 and LEP/ob SNPs on growth parameters of Blanco Orejinegro cattle

Contact Info

Product

Resources

About