Assessment of blood and productive parameters in mid-lactation dairy cows fed different diets: replacement of corn silage with triticale silage.


Journal

Archives animal breeding
ISSN: 2363-9822
Titre abrégé: Arch Anim Breed
Pays: Germany
ID NLM: 101701238

Informations de publication

Date de publication:
2022
Historique:
received: 09 06 2021
accepted: 12 04 2022
entrez: 13 6 2022
pubmed: 14 6 2022
medline: 14 6 2022
Statut: epublish

Résumé

Corn crops require large amounts of resources that affect the environmental sustainability of dairy cow farming systems. The aim of the study was thus to investigate the effects of the replacement of corn silage (CS) with triticale silage (TS) by evaluating blood and productive parameters. The study lasted 7 weeks and involved two groups of 20 Italian Holstein Friesian dairy cows that were homogeneous in terms of parity (

Identifiants

pubmed: 35693298
doi: 10.5194/aab-65-223-2022
pii: 01021829
pmc: PMC9175660
doi:

Types de publication

Journal Article

Langues

eng

Pagination

223-229

Informations de copyright

Copyright: © 2022 Lorella Giuliotti et al.

Déclaration de conflit d'intérêts

The contact author has declared that neither they nor their co-authors have any competing interests.

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Auteurs

Lorella Giuliotti (L)

Department of Veterinary Science, University of Pisa, Pisa 56124, Italy.

Maria Novella Benvenuti (MN)

Department of Veterinary Science, University of Pisa, Pisa 56124, Italy.

Andrea Martini (A)

Department of Agricultural, Food and Forestry Systems, University of Firenze, Florence 50144, Italy.

Pier Attilio Accorsi (PA)

Department of Veterinary Medical Sciences, University of Bologna, Ozzano dell'Emilia (BO) 40064, Italy.

Claudia Lotti (C)

Department of Agricultural, Food and Forestry Systems, University of Firenze, Florence 50144, Italy.

Alice Cappucci (A)

Department of Agriculture, Food and Environment, University of Pisa, Pisa 56124, Italy.

Giuseppe Conte (G)

Department of Agriculture, Food and Environment, University of Pisa, Pisa 56124, Italy.

Classifications MeSH