Genetic parameters for milk fatty acids, milk yield and quality traits of a Holstein cattle population reared under tropical conditions

Context Reproductive technologies may either contribute to the increase of genetic gains or inbreeding levels in dairy cattle breeding programs and herds. In general, studies have evaluated the impacts of inbreeding on traditional traits, such as production and reproduction. However, studies on novel traits, such as milk fatty acids profile, are scarce in the literature. Aim We aimed to evaluate the impact of inbreeding levels on milk fatty acids profile measured in a Brazilian Holstein cattle population. Methods Monthly records of the percentages (%) of palmitic, stearic, oleic, total saturated, unsaturated, monounsaturated and polyunsaturated fatty acids in milk were collected from 2047 Holstein cows between May and December 2012. The pedigree file contained 7963 animals over seven generations. The inbreeding trend was evaluated by linear regression of inbreeding coefficients on generations. The inbreeding impacts on breeding and phenotypic values were evaluated by linear regression of breeding values and phenotypic values on generations respectively. Breeding values were obtained by a Bayesian approach based on an animal model that included the systematic effect of contemporary group, cubic effect of days in milk as a covariate, and the random direct additive genetic and animal permanent environmental effects. Key results The average inbreeding coefficient was 0.28% for all animals, and 1.39% for inbred animals. Inbreeding tended to increase 0.24% per generation (P-value <0.0001). The regression coefficients of phenotypic values on inbreeding were not significant for saturated, unsaturated, monounsaturated, palmitic, stearic and oleic fatty acids (P-values >0.18, 0.10, 0.16, 0.26, 0.51 and 0.09 respectively); whereas for polyunsaturated fatty acids, they were significant (P-value <0.04), with an increase of –0.000978% on phenotypic values for each 1% increase in inbreeding. The regression coefficients of breeding values on inbreeding were not significant for unsaturated, monounsaturated, polyunsaturated, stearic and oleic fatty acids (P-values >0.33, 0.78, 0.48, 0.32 and 0.07 respectively). However, they were significant for saturated and palmitic fatty acids (P-values <0.03 and 0.0001 respectively), presenting an increase of 0.000689% and 0.000283% respectively on breeding values for each 1% increase in inbreeding. Conclusions There was a significant increase in inbreeding coefficients over the studied generations; however, the impacts on both breeding and phenotypic values were small, when significant. Implications Our study may contribute to the understanding of how inbreeding levels may affect the fatty acids profile in a Brazilian Holstein cattle population, as well as encourage future research on this subject.

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PSXI-3 Genome-wide association study for MIR-predicted milk fatty acids composition in Russian Holstein cattle population

Journal of Animal Science ◽

10.1093/jas/skab235.448 ◽

2021 ◽

Vol 99 (Supplement_3) ◽

pp. 245-246

Author(s):

Alexander A Sermyagin ◽

Irina Lashneva ◽

Larisa P Ignatieva ◽

Alexander Kositsin ◽

Elena Gladyr ◽

...

Keyword(s):

Fatty Acids ◽

Milk Fat ◽

Genome Wide Association Study ◽

Milk Composition ◽

Holstein Cattle ◽

Cattle Population ◽

Milk Fatty Acids ◽

Selection Processes ◽

Genome Wide ◽

Cattle Management

Abstract Milk fatty acids (FA) derived from infrared spectra are a new type of traits that allow fast and predictability use their in dairy breeding and herd cattle management. The Holstein animals feature are the high milk yield, but milk composition traits can be different according to population or country origin. The purpose of our study was to find out genetic variation for milk FA and detect QTLs associated with Holstein sires’ EBV in Russian cattle population. For this analysis, we used an experimental dataset for 36982 milk test records from 14 breeding herds in the Moscow region. Individual milk samples per animal analyzed routinely by MilkoScan7 for different FA types: C14:0, C16:0, C18:0, C18:1, saturated, mono- and polyunsaturated, short-, medium- and long-chain. Total number of bulls consisted 778 individuals including 222 animals with genotypes (39051 SNP, Illumina 50K). For calculating EBV by Sire Model, we applied BLUPF90. Plink 1.90 performed quality check control and GWAS procedure. Heritability coefficients were 0.071–0.155 for C14:0-C18:0 levels, 0.196 for C18:1, 0.083 for SFA, 0.018 for PUFA, 0.176 for MUFA, 0.114–0.155 for SCFA-LCFA levels. GWAS revealed most significant (P < 0.001-0.00001) frequently QTLs associated with FA content that were cited in articles previously for BTA5 (CHST11,C18:1), BTA6 (KCNIP4,C18:1; PPRAGC1A,C18:0), BTA11 (NRXN1,LPIN1,C18:1; NBAS,C18:0), BTA26 (PCDH15,PUFA; PRKG1,C18:1). These genes were responsible for synthesis milk fat, fertility, udder conformation traits, lauric, myristic, myristoleic, palmatoleic, oleic and other types of FA. In addition, we identified several QTLs for C14:0, C16:0, SFA, MUFA, SCFA, LCFA on BTA1 (137.32 Mb), BTA10 (5.50 Mb, 9.79 Mb), BTA14 (44.35 Mb), BTA19 (17.57–17.89 Mb) and BTA22 (14.02–14.06 Mb, 20.29–20.45 Mb). Our results are the first steps toward to understanding genetic and genomic mechanisms for using FA in selection processes to improve milk quality for Holstein cattle in Russia. The study was funded by RSF (project No. 21-76-20046)

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Genetic parameters for milk yield and quality traits of Brazilian Holstein cows as a function of temperature and humidity index

Journal of Animal Breeding and Genetics ◽

10.1111/jbg.12636 ◽

2021 ◽

Author(s):

Eula Regina Carrara ◽

Juliana Petrini ◽

Mayara Salvian ◽

Hinayah Rojas Oliveira ◽

Gregori Alberto Rovadoscki ◽

...

Keyword(s):

Milk Yield ◽

Genetic Parameters ◽

Holstein Cows ◽

Quality Traits ◽

Yield And Quality ◽

Temperature And Humidity ◽

Humidity Index

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Genetic effects of FASN, PPARGC1A, ABCG2 and IGF1 revealing the association with milk fatty acids in a Chinese Holstein cattle population based on a post genome-wide association study

BMC Genetics ◽

10.1186/s12863-016-0418-x ◽

2016 ◽

Vol 17 (1) ◽

Cited By ~ 18

Author(s):

Cong Li ◽

Dongxiao Sun ◽

Shengli Zhang ◽

Shaohua Yang ◽

M. A. Alim ◽

...

Keyword(s):

Fatty Acids ◽

Association Study ◽

Genome Wide Association Study ◽

Population Based ◽

Genome Wide Association ◽

Holstein Cattle ◽

Cattle Population ◽

Milk Fatty Acids ◽

Genome Wide ◽

Chinese Holstein Cattle

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Genetic parameters for milk fatty acids in Danish Holstein cattle based on SNP markers using a Bayesian approach

BMC Genetics ◽

10.1186/1471-2156-14-79 ◽

2013 ◽

Vol 14 (1) ◽

pp. 79 ◽

Cited By ~ 32

Author(s):

Kristian Krag ◽

Nina A Poulsen ◽

Mette K Larsen ◽

Lotte B Larsen ◽

Luc L Janss ◽

...

Keyword(s):

Fatty Acids ◽

Bayesian Approach ◽

Genetic Parameters ◽

Snp Markers ◽

Holstein Cattle ◽

Milk Fatty Acids

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Milk Yield and Quality to Estimate Genetic Parameters in Buffalo Cows

Journal of Buffalo Science ◽

10.6000/1927-520x.2012.01.01.17 ◽

2012 ◽

Vol 1 (1) ◽

Author(s):

Sarubbi

Keyword(s):

Milk Yield ◽

Genetic Parameters ◽

Yield And Quality

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Environmental and genetic factors affecting milk yield and quality in three Italian sheep breeds

Journal of Dairy Research ◽

10.1017/s0022029916000765 ◽

2016 ◽

Vol 84 (1) ◽

pp. 27-31 ◽

Cited By ~ 8

Author(s):

Maria Selvaggi ◽

Angela Gabriella D'Alessandro ◽

Cataldo Dario

Keyword(s):

Milk Yield ◽

Genetic Factors ◽

Quality Traits ◽

Milk Traits ◽

Factors Affecting ◽

Sheep Breeds ◽

Lactation Length ◽

Yield And Quality ◽

Lack Of Information ◽

Heritability Estimates

The aims of the study described in the Research Communication were to determine the level of influence of some environmental factors on milk yield and quality traits, including lactose, and lactation length in ewes belonging to three different Italian breeds and to estimate the heritability for the same traits. A total of 2138 lactation records obtained from 535 ewes belonging to three different Italian breeds (Comisana, Leccese, and Sarda) were used. Breed significantly affected all of the considered traits. Moreover, year of lambing affected milk yield and lactation length without influence on milk quality traits. Parity affected significantly only the milk yield, whereas type of birth showed its effect on milk yield, fat, protein, and lactose yield. On the whole, the presently reported heritability estimates are within the range of those already obtained in other dairy breeds by other authors, with values for lactation length being very low in all the investigated populations. Considering the heritability estimates for lactose content and yield, to the best of our knowledge, there is a lack of information on these parameters in ovine species and this is the first report on heritability of lactose content and yield in dairy sheep breeds. Our results suggest that genetic variability for milk traits other than lactation length is adequate for selection indicating a good response to selection in these breeds.

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