Special Issue "From Milk to Cheese: Phenotypic and Genetic Background of Milk and Cheese Related Traits"

A special issue of Animals (ISSN 2076-2615). This special issue belongs to the section "Animal Genetics and Genomics".

Deadline for manuscript submissions: 31 December 2021.

Special Issue Editors

Dr. Giorgia Stocco
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Guest Editor
Department of Veterinary Science, University of Parma, Via del Taglio 10, I-43126 Parma, Italy
Interests: dairy science; milk quality; milk minerals; coagulation properties; dairy products; cheese-making
Dr. Claudio Cipolat-Gotet
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Guest Editor
Department of Veterinary Science, University of Parma, Via del Taglio 10, 43126 Parma, Italy
Interests: dairy cattle; milk quality; milk coagulation properties; cheese-making; infrared spectroscopy
Dr. Michela Ablondi
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Guest Editor
Department of Veterinary Science, University of Parma, Via del Taglio 10, I-43126 Parma, Italy
Interests: cattle breeding; animal genetics; statistical genetics; genomics; quantitative genetics; genetic diversity; horse genetics
Special Issues and Collections in MDPI journals
Dr. Pietro Paschino
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Guest Editor
Department of Veterinary Medicine, University of Sassari, Via Vienna 2, I-07100 Sassari, Italy
Interests: animal production; ruminant nutrition; dairy science; milk quality; milk coagulation properties; dairy products
Dr. Christos Dadousis
Website
Guest Editor
Department of Agriculture, Food, Environment and Forestry, University of Firenze, I-50144 Firenze, Italy
Interests: animal breeding & genetics; quantitative genetics; statistical genetics/genomics; dairy and meat science
Special Issues and Collections in MDPI journals

Special Issue Information

Dear Colleagues,

World milk production is almost entirely derived from cattle, buffaloes, goats, and sheep. The largest part of this milk is used for cheese production. Actually, cheese yield is the key factor for the profitability of dairy industries, and it is the result of a complex process in which several factors are involved, from herd management aspects and animal features, to milk composition, milk pre-treatments, and cheese-making conditions. Deeper studies on the phenotypic and genetic aspects of milk and cheese are fundamental in order to boost the dairy industry at farm, breeding, and dairy plant levels. Currently, available tools, such as infrared spectroscopy technologies, allow the collection of novel phenotypes in milk in a fast and cost-effective way, from both bulk and individual milk. However, exploiting this information at an animal level would open the way for genetic analysis, and thereby for selective breeding. The aims of this Special Issue are mainly to: 1) investigate further the relationships among milk and cheese-related traits in the 4 main dairy species, 2) consider the predictability of novel milk components, technological traits of milk, and different measures of cheese yield, and 3) study the genetic background of novel milk and cheese-related traits.

Dr. Giorgia Stocco
Dr. Claudio Cipolat-Gotet
Dr. Michela Ablondi
Dr. Pietro Paschino
Dr. Christos Dadousis
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Animals is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • milk composition
  • minerals
  • proteins
  • milk coagulation
  • cheese-making
  • cheese yield
  • infrared spectroscopy
  • genomics
  • quantitative genetics

Published Papers (1 paper)

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Research

Open AccessArticle
Association Analysis between SPP1, POFUT1 and PRLR Gene Variation and Milk Yield, Composition and Coagulation Traits in Sarda Sheep
Animals 2020, 10(7), 1216; https://doi.org/10.3390/ani10071216 - 17 Jul 2020
Abstract
Many studies focus on the identification of genomic regions that undergo selective processes, where evidence of selection is revealed and positional candidate genes are identified. The aim of the research was to evaluate the association between positional candidate genes, namely secreted phosphoprotein 1 [...] Read more.
Many studies focus on the identification of genomic regions that undergo selective processes, where evidence of selection is revealed and positional candidate genes are identified. The aim of the research was to evaluate the association between positional candidate genes, namely secreted phosphoprotein 1 (SPP1, sheep chromosome Ovis aries OAR6, 36.651–36.658 Mb), protein O-fucosyltransferase 1 (POFUT1, OAR13, 61.006–61.027 Mb) and prolactin receptor (PRLR, OAR16, 38.969–39.028 Mb) with milk yield, composition and coagulation traits. Eight single nucleotide polymorphisms (SNPs) mapping to the three genes were genotyped in 380 Sarda dairy sheep. Statistical analysis revealed an association between SNP rs161844011 at SPP1 (chromosome position Oar_v3 OAR6:36651870, gene region exon 7) and somatic cell score, while POFUT1 SNP rs424501869 (OAR13:61007495, intron 1) was associated with curd firmness both 45 and 60 min after rennet addition (p = 0.015 and p = 0.007, respectively). SNP rs400874750 at PRLR gene (OAR16:39004070, intron 2) had a significant association with lactose content (p = 0.020), somatic cell score (p = 0.038), rennet coagulation time (p = 0.018) and curd firming time (p = 0.047). The outcome of this research confirmed predictions based on genomic studies, producing new information regarding the SPP1, POFUT1 and PRLR genes, which may be useful for future breeding schemes. Full article
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