Literature DB >> 34131265

Genome-wide scan reveals genetic divergence in Italian Holstein cows bred within PDO cheese production chains.

Michela Ablondi1, Massimo Malacarne1, Claudio Cipolat-Gotet2, Jan-Thijs van Kaam3, Alberto Sabbioni1, Andrea Summer1.   

Abstract

Dairy cattle breeds have been exposed to intense artificial selection for milk production traits over the last fifty years. In Italy, where over 80% of milk is processed into cheese, selection has also focused on cheese-making traits. Due to a deep-rooted tradition in cheese-making, currently fifty Italian cheeses are marked with the Protected Designation of Origin (PDO) label as they proved traditional land of origin and procedures for milk transformation. This study aimed to explore from a genetic point of view if the presence of such diverse productive contexts in Italy have shaped in a different manner the genome of animals originally belonging to a same breed. We analyzed high density genotype data from 1000 Italian Holstein cows born between 2014 and 2018. Those animals were either farmed in one of four Italian PDO consortia or used for drinkable milk production only. Runs of Homozygosity, Bayesian Information Criterion and Discriminant Analysis of Principal Components were used to evaluate potential signs of genetic divergence within the breed. We showed that the analyzed Italian Holstein cows have genomic inbreeding level above 5% in all subgroups, reflecting the presence of ongoing artificial selection in the breed. Our study provided a comprehensive representation of the genetic structure of the Italian Holstein breed, highlighting the presence of potential genetic subgroups due to divergent dairy farming systems. This study can be used to further investigate genetic variants underlying adaptation traits in these subgroups, which in turn might be used to design more specialized breeding programs.

Entities:  

Year:  2021        PMID: 34131265     DOI: 10.1038/s41598-021-92168-1

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  34 in total

1.  Genetic correlations between milk production and health and fertility depending on herd environment.

Authors:  J J Windig; M P L Calus; B Beerda; R F Veerkamp
Journal:  J Dairy Sci       Date:  2006-05       Impact factor: 4.034

2.  Application of near-infrared spectroscopy as an alternative to chemical and color analysis to discriminate the production chains of Asiago d'Allevo cheese.

Authors:  Giulio Cozzi; Jacopo Ferlito; Gabriella Pasini; Barbara Contiero; Flaviana Gottardo
Journal:  J Agric Food Chem       Date:  2009-12-23       Impact factor: 5.279

3.  Factors affecting the incidence of first-quality wheels of Trentingrana cheese.

Authors:  G Bittante; A Cecchinato; N Cologna; M Penasa; F Tiezzi; M De Marchi
Journal:  J Dairy Sci       Date:  2011-07       Impact factor: 4.034

Review 4.  A 100-Year Review: Regulation of nutrient partitioning to support lactation.

Authors:  L H Baumgard; R J Collier; D E Bauman
Journal:  J Dairy Sci       Date:  2017-12       Impact factor: 4.034

Review 5.  Major advances in determining appropriate selection goals.

Authors:  G E Shook
Journal:  J Dairy Sci       Date:  2006-04       Impact factor: 4.034

6.  Genetic parameters for major milk fatty acids and milk production traits of Dutch Holstein-Friesians.

Authors:  W M Stoop; J A M van Arendonk; J M L Heck; H J F van Valenberg; H Bovenhuis
Journal:  J Dairy Sci       Date:  2008-01       Impact factor: 4.034

Review 7.  Invited review: selection on net merit to improve lifetime profit.

Authors:  P M VanRaden
Journal:  J Dairy Sci       Date:  2004-10       Impact factor: 4.034

8.  Composition, coagulation properties and Parmigiano-Reggiano cheese yield of Italian Brown and Italian Friesian herd milks.

Authors:  Massimo Malacarne; Andrea Summer; Enrico Fossa; Paolo Formaggioni; Piero Franceschi; Mauro Pecorari; Primo Mariani
Journal:  J Dairy Res       Date:  2006-02-14       Impact factor: 1.904

9.  Milk coagulation ability of five dairy cattle breeds.

Authors:  M De Marchi; R Dal Zotto; M Cassandro; G Bittante
Journal:  J Dairy Sci       Date:  2007-08       Impact factor: 4.034

10.  Genome-wide association for milk production and lactation curve parameters in Holstein dairy cows.

Authors:  Hadi Atashi; Mazdak Salavati; Jenne De Koster; Jim Ehrlich; Mark Crowe; Geert Opsomer; Miel Hostens
Journal:  J Anim Breed Genet       Date:  2019-10-01       Impact factor: 2.380

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  2 in total

1.  The Potentialities of Machine Learning for Cow-Specific Milking: Automatically Setting Variables in Milking Machines.

Authors:  Jintao Wang; Daniela Lovarelli; Nicola Rota; Mingxia Shen; Mingzhou Lu; Marcella Guarino
Journal:  Animals (Basel)       Date:  2022-06-23       Impact factor: 3.231

2.  Genetic Diversity in the Italian Holstein Dairy Cattle Based on Pedigree and SNP Data Prior and After Genomic Selection.

Authors:  Michela Ablondi; Alberto Sabbioni; Giorgia Stocco; Claudio Cipolat-Gotet; Christos Dadousis; Jan-Thijs van Kaam; Raffaella Finocchiaro; Andrea Summer
Journal:  Front Vet Sci       Date:  2022-01-13
  2 in total

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