The Deviation between Dairy Cow Metabolizable Energy Requirements and Pasture Supply on a Dairy Farm Using Proximal Hyperspectral Sensing

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dc.citation.issue3
dc.citation.volume11
dc.contributor.authorDuranovich F
dc.contributor.authorLopez-Villalobos N
dc.contributor.authorShadbolt N
dc.contributor.authorDraganova I
dc.contributor.authorYule I
dc.contributor.authorMorris S
dc.date.accessioned2024-01-15T22:26:46Z
dc.date.accessioned2024-07-25T06:45:27Z
dc.date.available2024-01-15T22:26:46Z
dc.date.available2024-07-25T06:45:27Z
dc.date.issued2021-03-12
dc.description.abstractThis study aimed at determining the extent to which the deviation of daily total metabolizable energy (MEt) requirements of individual cows from the metabolizable energy (ME) supplied per cow (DME) varied throughout the production season in a pasture-based dairy farm using proximal hyperspectral sensing (PHS). Herd tests, milk production, herbage and feed allocation data were collected during the 2016–2017 and 2017–2018 production seasons at Dairy 1, Massey University, New Zealand. Herbage ME was determined from canopy reflectance acquired using PHS. Orthogonal polynomials were used to model lactation curves for yields of milk, fat, protein and live weights of cows. Daily dietary ME supplied per cow to the herd and ME requirements of cows were calculated using the Agricultural Food and Research Council (AFRC) energy system of 1993. A linear model including the random effects of breed and cow was used to estimate variance components for DME. Daily herd MEt estimated requirements oscillated between a fifth above or below the ME supplied throughout the production seasons. DME was mostly explained by observations made within a cow rather than between cows or breeds. Having daily estimates of individual cow requirements for MEt in addition to ME dietary supply can potentially contribute to achieving a more precise fit between supply and demand for feed in a pasture-based dairy farm by devising feeding strategies aimed at reducing DME.
dc.description.confidentialfalse
dc.format.pagination1-15
dc.identifier.author-urlhttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000633178200001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=c5bb3b2499afac691c2e3c1a83ef6fef
dc.identifier.citationDuranovich F, López-Villalobos N, Shadbolt N, Draganova I, Yule I, Morris S. (2021). The deviation between dairy cow metabolizable energy requirements and pasture supply on a dairy farm using proximal hyperspectral sensing. Agriculture (Switzerland). 11. 3. (pp. 1-15).
dc.identifier.doi10.3390/agriculture11030240
dc.identifier.eissn2077-0472
dc.identifier.elements-typejournal-article
dc.identifier.issn0551-3677
dc.identifier.numberARTN 240
dc.identifier.urihttps://mro.massey.ac.nz/handle/10179/70805
dc.publisherMDPI (Basel, Switzerland)
dc.relation.isPartOfAgriculture (Switzerland)
dc.rights(c) 2021 The Author/s
dc.rightsCC BY 4.0
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectmetabolizable energy balance
dc.subjectpasture-based dairying
dc.subjectindividual milking cows
dc.titleThe Deviation between Dairy Cow Metabolizable Energy Requirements and Pasture Supply on a Dairy Farm Using Proximal Hyperspectral Sensing
dc.typeJournal article
pubs.elements-id441445
pubs.organisational-groupOther
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