Výsledky vyhledávání - "Mehluli Moyo"

Akademický článek

Removal of sorghum stover from feed choices has no confounding effect on the quantity and quality of diets selected by group or individually fed sheep

Autor: Bulelani Nangamso Pepeta, Mehluli Moyo, Festus Adeyemi Adejoro, Abubeker Hassen, Ignatius Verla Nsahlai

Publikováno v: Journal of Applied Animal Research, Vol 51, Iss 1, Pp 653-657 (2023)

The study determined the effect of reducing dietary ingredients and group feeding on diet selection, nutrient intake and digestibility in choice-fed sheep. Three feeds comprising of veld hay (VH), sorghum stover (SS) and maize stover (MS) were offere

Externí odkaz: https://doaj.org/article/4021d935463f41878a39e69f52467042

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Akademický článek

Techniques Used to Determine Botanical Composition, Intake, and Digestibility of Forages by Ruminants

Autor: Bulelani Nangamso Pepeta, Mehluli Moyo, Festus Adeyemi Adejoro, Abubeker Hassen, Ignatius Verla Nsahlai

Publikováno v: Agronomy, Vol 12, Iss 10, p 2456 (2022)

The botanical and chemical composition of diets consumed by ruminants is different from the composition of plant species available in the rangeland or pastures on which they graze. Exploring alternative and improving existing methods of estimating bo

Externí odkaz: https://doaj.org/article/b0ceec86b460495a903c26c78296c03f

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Akademický článek

Effects of diet and roughage quality, and period of the day on diurnal feeding behaviour patterns of sheep and goats under subtropical conditions

Autor: Mehluli Moyo, Rasheed Adekunle Adebayo, Ignatius Verla Nsahlai

Publikováno v: Asian-Australasian Journal of Animal Sciences, Vol 32, Iss 5, Pp 675-690 (2019)

Objective This study investigated the effect of diet and roughage quality (RQ) on dry matter intake, duration and number of daytime and night-time eating bouts, idling sessions and ruminating activities in small ruminants. Methods In Exp 1 and 2, RQ

Externí odkaz: https://doaj.org/article/c6bd2570d93646a0b7baf4c1cf172c52

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Akademický článek

Effects of roughage quality, period of day and time lapse after meal termination on rumen digesta load in goats and sheep

Autor: Mehluli Moyo, Rasheed Adekunle Adebayo, Ignatius Verla Nsahlai

Publikováno v: Asian-Australasian Journal of Animal Sciences, Vol 31, Iss 8, Pp 1183-1196 (2018)

Objective This study ascertained effects of roughage quality, period of day at meal termination and time lapse after feeding on digesta load in the rumen. Methods Veld hay was untreated (poor roughage quality, PRQ), improved (improved roughage qualit

Externí odkaz: https://doaj.org/article/b0db6e061cba469981ed3d91d4125fbf

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Akademický článek

Consequences of Increases in Ambient Temperature and Effect of Climate Type on Digestibility of Forages by Ruminants: A Meta-Analysis in Relation to Global Warming

Autor: Mehluli Moyo, Ignatius Nsahlai

Publikováno v: Animals, Vol 11, Iss 1, p 172 (2021)

This meta-analysis evaluated the effects of ruminant feeding type, ambient temperature (AT), and climatic region on the rumen digestibility of feeds. A dataset on nylon bag degradability parameters bearing the chemical composition of roughages, grain

Externí odkaz: https://doaj.org/article/8259d9effa314457a70874a418c46dff

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Akademický článek

Stocking Rate Has No Confounding Effect on the Use of Internal and Inert Markers to Predict Botanical Composition, Diet Quality, Degradability and Passage Rate Kinetics in Sheep

Autor: Bulelani Nangamso Pepeta, Mehluli Moyo, Abubeker Hassen, Ignatius Verla Nsahlai

Publikováno v: Animals, Vol 10, Iss 12, p 2232 (2020)

This study investigated if there is any confounding effect of stocking rate on the use of internal markers to determine and predict the dietary ingredient composition, dry matter intake (DMI) and digestibility of diets consumed by sheep. Fifteen shee

Externí odkaz: https://doaj.org/article/aac962b82f2a4fbd8bd6684743cb8c7d

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The use of artificial neural networks for modelling rumen fill

Autor: Rasheed Adekunle Adebayo, Ignatius V. Nsahlai, Mehluli Moyo, Evariste Bosco Gueguim Kana

Publikováno v: Canadian Journal of Animal Science. 101:427-437

Artificial neural network (ANN) and random forest models for predicting rumen fill of cattle and sheep were developed. Data on rumen fill were collected from studies that reported body weights, measured rumen fill, and stated diets fed to animals. An

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::63a629fdb6aebbe21bbd16779490c02e
https://doi.org/10.1139/cjas-2019-0101

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Responses of gut morphology, serum biochemistry, and quality of breast meat to water deprivation in broilers

Autor: M. V. Mkwanazi, Michael Chimonyo, Mehluli Moyo, S. Z. Ndlela

Publikováno v: Canadian Journal of Animal Science. 100:59-68

Responses of growth performance, gut morphology, blood biochemistry, and quality of breast meat to varying lengths of water deprivation were assessed. Ninety broilers were randomly allocated to water deprivation treatments, where water was either sup

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::76b1e60693f42c89e04b345e9372dcf6
https://doi.org/10.1139/cjas-2018-0221

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Stocking Rate Has No Confounding Effect on the Use of Internal and Inert Markers to Predict Botanical Composition, Diet Quality, Degradability and Passage Rate Kinetics in Sheep

Autor: Abubeker Hassen, Mehluli Moyo, Ignatius V. Nsahlai, Bulelani Nangamso Pepeta

Publikováno v: Animals, Vol 10, Iss 2232, p 2232 (2020)
Animals : an Open Access Journal from MDPI
Animals
Volume 10
Issue 12

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b228d22c6e26730844425b5968855592
https://www.mdpi.com/2076-2615/10/12/2232

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