Meta-analysis of the effects of on-farm management strategies on milk yields of dairy cattle on smallholder farms in the Tropics

Although East Africa is home to one of the most advanced dairy industries in Sub-Saharan Africa, regional annual milkproduction is insufficient to meet the demand. The challenge of increasing milk yields (MYs) among smallholder dairy cattlefarmers (SDCFs) has received considerable attention and resulted in the introduction of various dairy management strategies(DMSs). Despite adoption of these DMSs, MYs remain low on-farm and there is a large discrepancy in the efficacy of DMSsacross different farms. Therefore, the present study sought to: (1) identify on-farm DMSs employed by East African SDCFs toincrease MYs and (2) summarize existing literature to quantify the expected MY changes associated with these identified DMSs.Data were collected through a comprehensive literature review and in-depth semi-structured interviews with 10 experts from theEast African dairy sector. Meta-analysis of the literature review data was performed by deriving four multivariate regressionmodels (i.e. models 1 to 4) that related DMSs to expected MYs. Each model differed in the weighting strategy used (e.g. numberof observations and inverse of the standard errors) and the preferred model was selected based on the root estimated errorvariance and concordance correlation coefficient. Nine DMSs were identified, of which only adoption of improved cattle breedsand improved feeding (i.e. increasing diet quality and quantity) consistently and significantly (P<0.05) increased daily MYsacross the available studies. Improved breeds alongside adequate feeding explained≤50% of the daily MYs observed in themetadata while improved feeding explained≤30% of the daily MYs observed across the different models. Conversely, calfsuckling significantly (P<0.05) reduced MYs according to model 2. Other variables including days in milk, trial length andmaximum ambient temperature (used as a proxy for heat stress) contributed significantly to decreasing MYs. These variables mayexplain some of the heterogeneity in MY responses to DMSs reported in the literature. Our results suggest that using improvedcattle breeds alongside improved feeding is the most reliable strategy to increase MYs on-farm in East Africa. Nevertheless, theseDMSs should not be considered as standalone solutions but as a pool of options that should be combined depending on theresources available to the farmer to achieve a balance between using dairy cattle genetics, proper husbandry and feeding tosecure higher MYs.

Saved in:
Bibliographic Details
Main Authors: Bateki, Christian A, Dijk, Suzanne van der, Wilkes, Andreas, Dickhöfer, Uta, White, Robin
Format: Journal Article biblioteca
Language:English
Published: Elsevier 2020
Subjects:climate change, agriculture, food security, smallholders, dairy, metadata,
Online Access:https://hdl.handle.net/10568/108773
https://doi.org/10.1017/S1751731120001548
Tags: Add Tag
No Tags, Be the first to tag this record!
id dig-cgspace-10568-108773
record_format koha
spelling dig-cgspace-10568-1087732023-12-08T19:36:04Z Meta-analysis of the effects of on-farm management strategies on milk yields of dairy cattle on smallholder farms in the Tropics Bateki, Christian A Dijk, Suzanne van der Wilkes, Andreas Dickhöfer, Uta White, Robin climate change agriculture food security smallholders dairy metadata Although East Africa is home to one of the most advanced dairy industries in Sub-Saharan Africa, regional annual milkproduction is insufficient to meet the demand. The challenge of increasing milk yields (MYs) among smallholder dairy cattlefarmers (SDCFs) has received considerable attention and resulted in the introduction of various dairy management strategies(DMSs). Despite adoption of these DMSs, MYs remain low on-farm and there is a large discrepancy in the efficacy of DMSsacross different farms. Therefore, the present study sought to: (1) identify on-farm DMSs employed by East African SDCFs toincrease MYs and (2) summarize existing literature to quantify the expected MY changes associated with these identified DMSs.Data were collected through a comprehensive literature review and in-depth semi-structured interviews with 10 experts from theEast African dairy sector. Meta-analysis of the literature review data was performed by deriving four multivariate regressionmodels (i.e. models 1 to 4) that related DMSs to expected MYs. Each model differed in the weighting strategy used (e.g. numberof observations and inverse of the standard errors) and the preferred model was selected based on the root estimated errorvariance and concordance correlation coefficient. Nine DMSs were identified, of which only adoption of improved cattle breedsand improved feeding (i.e. increasing diet quality and quantity) consistently and significantly (P<0.05) increased daily MYsacross the available studies. Improved breeds alongside adequate feeding explained≤50% of the daily MYs observed in themetadata while improved feeding explained≤30% of the daily MYs observed across the different models. Conversely, calfsuckling significantly (P<0.05) reduced MYs according to model 2. Other variables including days in milk, trial length andmaximum ambient temperature (used as a proxy for heat stress) contributed significantly to decreasing MYs. These variables mayexplain some of the heterogeneity in MY responses to DMSs reported in the literature. Our results suggest that using improvedcattle breeds alongside improved feeding is the most reliable strategy to increase MYs on-farm in East Africa. Nevertheless, theseDMSs should not be considered as standalone solutions but as a pool of options that should be combined depending on theresources available to the farmer to achieve a balance between using dairy cattle genetics, proper husbandry and feeding tosecure higher MYs. 2020 2020-07-14T16:29:21Z 2020-07-14T16:29:21Z Journal Article Bateki CA, van Dijk S, Wilkes A, Dickhöfer U, White R. 2020. Meta-analysis of the effects of on-farm management strategies on milk yields of dairy cattle on smallholder farms in the Tropics. Animal 14(12):2619-2627. 1751-7311 https://hdl.handle.net/10568/108773 https://doi.org/10.1017/S1751731120001548 en CC-BY-NC-ND-4.0 Open Access p. 2619-2627 Elsevier Animal
institution CGIAR
collection DSpace
country Francia
countrycode FR
component Bibliográfico
access En linea
databasecode dig-cgspace
tag biblioteca
region Europa del Oeste
libraryname Biblioteca del CGIAR
language English
topic climate change
agriculture
food security
smallholders
dairy
metadata
climate change
agriculture
food security
smallholders
dairy
metadata
spellingShingle climate change
agriculture
food security
smallholders
dairy
metadata
climate change
agriculture
food security
smallholders
dairy
metadata
Bateki, Christian A
Dijk, Suzanne van der
Wilkes, Andreas
Dickhöfer, Uta
White, Robin
Meta-analysis of the effects of on-farm management strategies on milk yields of dairy cattle on smallholder farms in the Tropics
description Although East Africa is home to one of the most advanced dairy industries in Sub-Saharan Africa, regional annual milkproduction is insufficient to meet the demand. The challenge of increasing milk yields (MYs) among smallholder dairy cattlefarmers (SDCFs) has received considerable attention and resulted in the introduction of various dairy management strategies(DMSs). Despite adoption of these DMSs, MYs remain low on-farm and there is a large discrepancy in the efficacy of DMSsacross different farms. Therefore, the present study sought to: (1) identify on-farm DMSs employed by East African SDCFs toincrease MYs and (2) summarize existing literature to quantify the expected MY changes associated with these identified DMSs.Data were collected through a comprehensive literature review and in-depth semi-structured interviews with 10 experts from theEast African dairy sector. Meta-analysis of the literature review data was performed by deriving four multivariate regressionmodels (i.e. models 1 to 4) that related DMSs to expected MYs. Each model differed in the weighting strategy used (e.g. numberof observations and inverse of the standard errors) and the preferred model was selected based on the root estimated errorvariance and concordance correlation coefficient. Nine DMSs were identified, of which only adoption of improved cattle breedsand improved feeding (i.e. increasing diet quality and quantity) consistently and significantly (P<0.05) increased daily MYsacross the available studies. Improved breeds alongside adequate feeding explained≤50% of the daily MYs observed in themetadata while improved feeding explained≤30% of the daily MYs observed across the different models. Conversely, calfsuckling significantly (P<0.05) reduced MYs according to model 2. Other variables including days in milk, trial length andmaximum ambient temperature (used as a proxy for heat stress) contributed significantly to decreasing MYs. These variables mayexplain some of the heterogeneity in MY responses to DMSs reported in the literature. Our results suggest that using improvedcattle breeds alongside improved feeding is the most reliable strategy to increase MYs on-farm in East Africa. Nevertheless, theseDMSs should not be considered as standalone solutions but as a pool of options that should be combined depending on theresources available to the farmer to achieve a balance between using dairy cattle genetics, proper husbandry and feeding tosecure higher MYs.
format Journal Article
topic_facet climate change
agriculture
food security
smallholders
dairy
metadata
author Bateki, Christian A
Dijk, Suzanne van der
Wilkes, Andreas
Dickhöfer, Uta
White, Robin
author_facet Bateki, Christian A
Dijk, Suzanne van der
Wilkes, Andreas
Dickhöfer, Uta
White, Robin
author_sort Bateki, Christian A
title Meta-analysis of the effects of on-farm management strategies on milk yields of dairy cattle on smallholder farms in the Tropics
title_short Meta-analysis of the effects of on-farm management strategies on milk yields of dairy cattle on smallholder farms in the Tropics
title_full Meta-analysis of the effects of on-farm management strategies on milk yields of dairy cattle on smallholder farms in the Tropics
title_fullStr Meta-analysis of the effects of on-farm management strategies on milk yields of dairy cattle on smallholder farms in the Tropics
title_full_unstemmed Meta-analysis of the effects of on-farm management strategies on milk yields of dairy cattle on smallholder farms in the Tropics
title_sort meta-analysis of the effects of on-farm management strategies on milk yields of dairy cattle on smallholder farms in the tropics
publisher Elsevier
publishDate 2020
url https://hdl.handle.net/10568/108773
https://doi.org/10.1017/S1751731120001548
work_keys_str_mv AT batekichristiana metaanalysisoftheeffectsofonfarmmanagementstrategiesonmilkyieldsofdairycattleonsmallholderfarmsinthetropics
AT dijksuzannevander metaanalysisoftheeffectsofonfarmmanagementstrategiesonmilkyieldsofdairycattleonsmallholderfarmsinthetropics
AT wilkesandreas metaanalysisoftheeffectsofonfarmmanagementstrategiesonmilkyieldsofdairycattleonsmallholderfarmsinthetropics
AT dickhoferuta metaanalysisoftheeffectsofonfarmmanagementstrategiesonmilkyieldsofdairycattleonsmallholderfarmsinthetropics
AT whiterobin metaanalysisoftheeffectsofonfarmmanagementstrategiesonmilkyieldsofdairycattleonsmallholderfarmsinthetropics
_version_ 1787230478177140736