Genetic determination of fatty acid composition in Spanish Churra sheep milk

Sánchez, J. P.; Primitivo, F. San; Barbosa, E.; Varona, L.; Fuente, L. F. de la

doi:10.3168/jds.2009-2268

Cited by 20 publications

(22 citation statements)

References 32 publications

(45 reference statements)

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“…Similar results, even though with a certain degree of variability and in a limited number of studies, have been reported for dairy sheep (Ferrand-Calmels et al, 2014;Caredda et al, 2016;Correddu et al, 2018). Fatty acid predicted by FTIR exhibited genetic variation both in dairy cattle (e.g., Soyeurt et al, 2007;Bastin et al, 2013;Narayana et al, 2017) and sheep (Sánchez et al, 2010;Boichard et al, 2014). Moreover, genetic correlations ranging from 60 to 99% between FTIR-predicted and GC-measured milk FA have been reported both in cattle (Bonfatti et al, 2017) and sheep (Correddu et al, 2018).…”

Section: Introductionsupporting

confidence: 81%

“…As FA are genetically correlated traits Sánchez et al, 2010), GEBV accuracy of individual FA may be modified when a multiple-trait instead of a single-trait approach is used. However, considering the large number of FA analyzed in the present study, the effect of genetic correlations among FA on GEBV accuracy was investigated by a series of bivariate analyses using the ssGBLUP approach.…”

Section: Breeding Value Predictionsmentioning

confidence: 99%

“…Ruminant dairy products are among the most important sources of CLA in human diets (Nudda et al, 2014). Although animal feeding is considered the most important factor affecting milk fatty acid (FA) composition (Cabiddu et al, 2005;Sánchez et al, 2010), genetic variation for these traits has been reported in cattle (Stoop et al, 2008;Pegolo et al, 2016) and sheep (Sánchez et al, 2010;Correddu et al, 2018), suggesting the possibility for a genetic improvement.…”

Section: Introductionmentioning

confidence: 99%

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Genomic selection of milk fatty acid composition in Sarda dairy sheep: Effect of different phenotypes and relationship matrices on heritability and breeding value accuracy

Cesarani

Gaspa

Correddu

et al. 2019

Journal of Dairy Science

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Fatty acid (FA) composition is one of the most important aspects of milk nutritional quality. However, the inclusion of this trait as a breeding goal for dairy species is hampered by the logistics and high costs of phenotype recording. Fourier-transform infrared spectroscopy (FTIR) is a valid and cheap alternative to laboratory gas chromatography (GC) for predicting milk FA composition. Moreover, as for other novel phenotypes, the efficiency of selection for these traits can be enhanced by using genomic data. The objective of this research was to compare traditional versus genomic selection approaches for estimating genetic parameters and breeding values of milk fatty acid composition in dairy sheep using either GC-measured or FTIR-predicted FA as phenotypes. Milk FA profiles were available for a total of 923 Sarda breed ewes. The youngest 100 had their own phenotype masked to mimic selection candidates. Pedigree relationship information and genotypes were available for 923 and 769 ewes, respectively. Three statistical approaches were used: the classical-pedigree-based BLUP, the genomic BLUP that considers the genomic relationship matrix G, and the single-step genomic BLUP (ssGBLUP) where pedigree and genomic relationship matrices are blended into a single H matrix. Heritability estimates using pedigree were lower than ssGBLUP, and very similar between GC and FTIR regarding the statistical approach used. For some FA, mostly associated with animal diet (i.e., C18: 2n -6, C18: 3n -3), random effect of combination of flock and test date explained a relevant quota of total variance, reducing the heritability estimates accordingly. Genomic approaches (genomic BLUP and ssGBLUP) outperformed the traditional pedigree method both for GC and FTIR FA. Prediction accuracies in the older cohort were larger than the young cohort. Genomic prediction accuracies (obtained using either G or H relationship matrix) in the young cohort of animals, where their own phenotypes were masked, were similar for GC and FTIR. Multiple-trait analysis slightly affected genomic breeding value accuracies. These results suggest that FTIR-predicted milk FA composition could represent a valid option for inclusion in breeding programs.of Georgia, Athens) for her useful suggestions on implementing genomic models.

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Section: Introductionsupporting

confidence: 81%

Section: Breeding Value Predictionsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Genomic selection of milk fatty acid composition in Sarda dairy sheep: Effect of different phenotypes and relationship matrices on heritability and breeding value accuracy

Cesarani

Gaspa

Correddu

et al. 2019

Journal of Dairy Science

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“…In fact, different expression of this gene in the lactating mammary gland suggested a direct involvement in the FA synthesis during lactation (Moioli et al 2007). Several studies have demonstrated the genetic influence of ACACA gene on FA composition in sheep milk (Carta et al 2008;Sanchez et al 2010). However, before attempting association analyses between this gene and/or enzyme and phenotypic traits of interest, a study on the genetic variability within this locus is required (García-Fernández et al 2010).…”

Section: Introductionmentioning

confidence: 99%

Full-length sequencing and identification of novel polymorphisms in the ACACA gene of Valle del Belice sheep breed

Gerlando

Mastrangelo

Tortorici

et al. 2017

J Genet

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Abstract. The essential role of the acetyl-CoA carboxylase (ACACA) enzyme in milk fatty acid (FA) synthesis suggests that it may be responsible for the phenotypic variability observed in milk. Before attempting association analyses between this gene and/or enzyme and phenotypic traits, a study on the genetic variability within this locus is required. The aim of this work was to sequence the entire coding region of ACACA gene in Valle del Belice sheep breed to identify polymorphic sites. A total of 51 coding exons of ACACA gene were sequenced in 32 individuals of Valle del Belice sheep breed. Sequencing analysis and alignment of obtained sequences showed the presence of 23 polymorphic sites. The most polymorphic was exon 53 which showed presence of 12 single-nucleotide polymorphisms (SNPs), of which eight were missense mutations, caused amino acid changes and therefore may affect protein function or stability causing variation in phenotype. The identified polymorphisms showed high variability of the ACACA gene. Sequences analysis allowed to find six new SNPs in exon 53 (6832C>T; 6835C>A; 6840G>A; 6847G>T; 6852C>T and 6860G>C). A total of 31 haplotypes were inferred. Although this study could not provide association study with production traits, it shows finding of novel SNPs that might be important in future studies and laid the basis for further association analyses needed to evaluate the potential use of these SNPs as genetic markers for fat content and FAs composition in milk of Valle del Belice sheep breed.

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“…(2008) did not observe any differences in the polyunsaturated fatty acid content in milk fat of native Italian breeds, including conjugated linoleic acid (CLA) concentrations. Having studied milk fat composition in Spanish Churra sheep, Sanchez et al (2010) established a low inheritance with regard to saturated and monounsaturated fatty acid content and a potential for genetic variation in polyunsaturated fatty acid content.…”

Section: Introductionmentioning

confidence: 99%

The influence of strain and age on some egg quality parameters of commercial laying hens

2011

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The experiment was conducted to evaluate the influence of strain and age on some egg quality parameters (egg weight and egg shell strength) of commercial laying hens. Layers of lines ISA Brown and DeKalb White were examined in period of nine months. Both lines were at same age (28 weeks) and were confined in common facility in battery cages. Laying hens were reared and fed according to standard breeding technology. Once a month 25 eggs of each line were taken to be examined for eggshell strength and egg weight, or in other words, total 450 table eggs were tested. Analises were done in Laboratory for testing egg quality by gaudges Egg Multi Tester EMT 5200 and Egg shell Gauge (Robotmation Co. Ltd., Tokyo, Japan) which have computerised equipment to examine quality and physical characteristics of eggs. Statistic analyses on results were done by computer sub-programme ANOVA and Fisher's LSD test to determine the level of statistical significant difference between examined factors. Egg weight was under significant impact of age (P ? 0,05), but not under the influence of strain, although eggs of ISA Brown line were insignificantly heavier than eggs of DeKalb White line. Eggs were heaviest at layers with older age, while they were lightest at younger birds. The results have shown significant differences (P ? 0,05) in eggshell strength compared to line influence (genotype) and months of age. Eggs from ISA Brown laying hens had much better and eggshell strength than those eggs from DeKalb White. Correlations between eggshell strength and egg weight were with significant (R < 0,05) negative value, which indicating that with increasing egg weight decreases of eggshell strength.

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Genetic determination of fatty acid composition in Spanish Churra sheep milk

Cited by 20 publications

References 32 publications

Genomic selection of milk fatty acid composition in Sarda dairy sheep: Effect of different phenotypes and relationship matrices on heritability and breeding value accuracy

Genomic selection of milk fatty acid composition in Sarda dairy sheep: Effect of different phenotypes and relationship matrices on heritability and breeding value accuracy

Full-length sequencing and identification of novel polymorphisms in the ACACA gene of Valle del Belice sheep breed

The influence of strain and age on some egg quality parameters of commercial laying hens

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