Dry Matter Intake Prediction from Milk Spectra in Sarda Dairy Sheep.
automatic feeding system
milk spectra
multivariate
Journal
Animals : an open access journal from MDPI
ISSN: 2076-2615
Titre abrégé: Animals (Basel)
Pays: Switzerland
ID NLM: 101635614
Informations de publication
Date de publication:
20 Feb 2023
20 Feb 2023
Historique:
received:
02
02
2023
revised:
14
02
2023
accepted:
16
02
2023
entrez:
25
2
2023
pubmed:
26
2
2023
medline:
26
2
2023
Statut:
epublish
Résumé
Individual dry matter intake (DMI) is a relevant factor for evaluating feed efficiency in livestock. However, the measurement of this trait on a large scale is difficult and expensive. DMI, as well as other phenotypes, can be predicted from milk spectra. The aim of this work was to predict DMI from the milk spectra of 24 lactating Sarda dairy sheep ewes. Three models (Principal Component Regression, Partial Least Squares Regression, and Stepwise Regression) were iteratively applied to three validation schemes: records, ewes, and days. DMI was moderately correlated with the wavenumbers of the milk spectra: the largest correlations (around ±0.30) were observed at ~1100-1330 cm
Identifiants
pubmed: 36830549
pii: ani13040763
doi: 10.3390/ani13040763
pmc: PMC9952237
pii:
doi:
Types de publication
Journal Article
Langues
eng
Subventions
Organisme : Italian Ministry of Agriculture
ID : PRECISLAT
Organisme : European Union
ID : NextGenerationEU; PNRR M4C2, CN00000022 AGRITECH
Références
Animal. 2011 Aug;5(10):1653-8
pubmed: 22440358
Animal. 2012 Oct;6(10):1694-701
pubmed: 23031566
Immunol Cell Biol. 2001 Dec;79(6):583-9
pubmed: 11903617
Anim Front. 2019 Apr 11;9(2):33-44
pubmed: 32002249
J Dairy Sci. 2009 Jun;92(6):2444-54
pubmed: 19447976
J Dairy Sci. 2020 Feb;103(2):1553-1558
pubmed: 31864740
J Dairy Sci. 2014 Sep;97(9):5863-71
pubmed: 24997658
J Dairy Sci. 2018 Jul;101(7):5878-5889
pubmed: 29680644
J Dairy Sci. 2015 May;98(5):3438-42
pubmed: 25771061
Transl Anim Sci. 2020 Jan 17;4(2):txaa007
pubmed: 32705008
J Dairy Sci. 2021 Oct;104(10):11242-11258
pubmed: 34275636
J Dairy Sci. 2022 Jun;105(6):5271-5282
pubmed: 35379463
J Dairy Sci. 2019 Apr;102(4):3189-3203
pubmed: 30799105
J Dairy Sci. 2002 Dec;85(12):3363-81
pubmed: 12512609
J Dairy Sci. 1987 Apr;70(4):789-98
pubmed: 3108339
J Dairy Sci. 2006 Jul;89(7):2761-74
pubmed: 16772596
J Dairy Sci. 2017 Jan;100(1):253-264
pubmed: 27865487
J Dairy Sci. 2006 Sep;89(9):3690-5
pubmed: 16899705
J Dairy Sci. 2005 Aug;88(8):2860-9
pubmed: 16027201
J Dairy Sci. 2014 Mar;97(3):1171-86
pubmed: 24440251
Animal. 2019 Mar;13(3):469-476
pubmed: 30012236
J Dairy Sci. 2019 Oct;102(10):8907-8918
pubmed: 31351717
J Dairy Sci. 2011 Jul;94(7):3651-61
pubmed: 21700055
J Dairy Sci. 2015 Nov;98(11):8133-51
pubmed: 26387015
Animals (Basel). 2021 Jan 06;11(1):
pubmed: 33419212
Animals (Basel). 2019 Sep 07;9(9):
pubmed: 31500237
Animals (Basel). 2021 Apr 23;11(5):
pubmed: 33922676
J Dairy Sci. 2020 Dec;103(12):12045-12058
pubmed: 32981734
J Dairy Sci. 2017 Jul;100(7):5411-5421
pubmed: 28527795
J Dairy Sci. 2020 Feb;103(2):1528-1540
pubmed: 31837795
J Dairy Sci. 2022 Aug;105(8):6773-6782
pubmed: 35840399
Animal. 2021 Mar;15(3):100161
pubmed: 33785185
Methods. 2021 Feb;186:97-111
pubmed: 32763376