Výsledky vyhledávání - "A.L. Thomson"

Akademický článek

Effect of forage type on swallowed bolus mass and a method for counting swallows in dairy cattle

Autor: N. Norbu, P.S. Alvarez-Hess, B.J. Leury, M.L. Douglas, M.M. Wright, S.R.O. Williams, A.L. Thomson, V.M. Russo, M.C. Hannah, W.J. Wales, M.J. Auldist

Publikováno v: Journal of Dairy Science, Vol 106, Iss 11, Pp 7651-7660 (2023)

ABSTRACT: Dry matter intake (DMI) is a primary determinant of milk production in grazing dairy cows and an ability to measure the DMI of individual cows would allow herd managers to formulate supplementary rations that consider the amount of nutrient

Externí odkaz: https://doaj.org/article/4ad7a7a3ccf14d258fb87749575badbb

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Akademický článek

Effect of selected plant species within biodiverse pasture on in vitro fatty acid biohydrogenation and tissue fatty acid composition of lamb

Autor: K.E. Kliem, A.L. Thomson, L.A. Crompton, D.I. Givens

Publikováno v: Animal, Vol 12, Iss 11, Pp 2415-2423 (2018)

The effect of botanical diversity on supply of polyunsaturated fatty acids (PUFA) to ruminants in vitro, and the fatty acid (FA) composition of muscle in lambs was investigated. Six plant species, commonly grown as part of UK herbal ley mixtures (Tri

Externí odkaz: https://doaj.org/article/24ace5d5f6084717a9716987d015c862

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Akademický článek

The effect of varying proportion and chop length of lucerne silage in a maize silage-based total mixed ration on diet digestibility and milk yield in dairy cattle

Autor: A.L. Thomson, D.J. Humphries, A.K. Jones, C.K. Reynolds

Publikováno v: Animal, Vol 11, Iss 12, Pp 2211-2219 (2017)

The objective was to assess the effects of inclusion rate and chop length of lucerne silage, when fed in a total mixed ration (TMR), on milk yield, dry matter (DM) intake (DMI) and digestion in dairy cows. Diets were formulated to contain a 50 : 50 r

Externí odkaz: https://doaj.org/article/0f0fff0a92e54741994bb0fd917eae9d

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Akademický článek

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Assessing Suitability of Sentinel-2 Bands for Monitoring of Nutrient Concentration of Pastures with a Range of Species Compositions

Autor: David J. Humphries, Anne Verhoef, Christopher K. Reynolds, A.L. Thomson, Suvarna Punalekar

Publikováno v: Agronomy, Vol 11, Iss 1661, p 1661 (2021)
Agronomy
Volume 11
Issue 8

The accurate and timely assessment of pasture quantity and quality (i.e., nutritive characteristics) is vital for effective pasture management. Remotely sensed data can be used to predict pasture quantity and quality. This study investigated the abil

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::13b2f411322abc4be2f2d5b6cac87757
https://www.mdpi.com/2073-4395/11/8/1661

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The Fusion of Spectral and Structural Datasets Derived from an Airborne Multispectral Sensor for Estimation of Pasture Dry Matter Yield at Paddock Scale with Time

Autor: Amy Copland, A.L. Thomson, Jayan Wijesingha, Joe L. Jacobs, Dani Stayches, Senani Karunaratne, Elizabeth Morse-McNabb

Publikováno v: Remote Sensing, Vol 12, Iss 2017, p 2017 (2020)
Remote Sensing
Volume 12
Issue 12
Pages: 2017

This study aimed to develop empirical pasture dry matter (DM) yield prediction models using an unmanned aerial vehicle (UAV)-borne sensor at four flying altitudes. Three empirical models were developed using features generated from the multispectral

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::01f4edc0ea43030c58681a90b861f54a
https://www.mdpi.com/2072-4292/12/12/2017

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Assessing the accuracy of current near infra-red reflectance spectroscopy analysis for fresh grass-clover mixture silages and development of new equations for this purpose

Autor: Christopher K. Reynolds, A.L. Thomson, J.E. Archer, N.W. Grant, Caroline Rymer, David J. Humphries

Publikováno v: Animal Feed Science and Technology. 239:94-106

The purpose of this study was to ascertain whether Near Infra-Red Reflectance Spectroscopy (NIRS) prediction equations calibrated on grass silage samples, could accurately predict the chemical composition of mixed grass-clover silage samples, and fur

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::45d55ec708ab7eb1367e5c50d0144a72
https://doi.org/10.1016/j.anifeedsci.2018.03.009

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