Cargando…
Characteristics of Buffalo Farming Systems in Turkey Based on a Multivariate Aggregation of Indicators: A Survey Study
SIMPLE SUMMARY: In the small–medium scale farm management systems, farmers make rational decisions by combining available inputs to optimize or maximize their production outcome. As the availability of inputs differs in each location, variability in farm typology is becoming more evident, resulting...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9658953/ https://www.ncbi.nlm.nih.gov/pubmed/36359180 http://dx.doi.org/10.3390/ani12213056 |
_version_ | 1784830081245380608 |
---|---|
author | Ozturk, Nursen Kocak, Omur Peker, Arzu Serva, Lorenzo Kaygisiz, Ferhan Kecici, Pembe Dilara Yalcintan, Hulya Kilic, Halil Ibrahim Magrin, Luisa |
author_facet | Ozturk, Nursen Kocak, Omur Peker, Arzu Serva, Lorenzo Kaygisiz, Ferhan Kecici, Pembe Dilara Yalcintan, Hulya Kilic, Halil Ibrahim Magrin, Luisa |
author_sort | Ozturk, Nursen |
collection | PubMed |
description | SIMPLE SUMMARY: In the small–medium scale farm management systems, farmers make rational decisions by combining available inputs to optimize or maximize their production outcome. As the availability of inputs differs in each location, variability in farm typology is becoming more evident, resulting in different economic performances. We aimed to determine buffalo farms’ heterogeneity and differences in productivity and profitability in Marmara Region, Turkey. Six components were identified as the best predictors of farms’ efficiency: “Milk productivity”, “Economic efficiency”, “Roughage management”, “Dual purpose farming”, “Concentrate supply”, and “Fodder production”, each of which aggregate indexes that characterize feeding management and economics, in addition to location, investment in buildings and equipment, and grazing type. These factors’ scores allow for farms’ characterization and identifying management inefficiency areas to prompt early and effective interventions by farmers. ABSTRACT: This study aimed to determine the heterogeneity that exists in water buffalo husbandry systems in Marmara Region, Turkey. A questionnaire containing a total of 60 indicators was submitted to 52 farmers. A Principal Component Analysis was performed to reduce original variables into a simplified and latent structure, which was characterized by six orthogonal components: milk productivity, economic efficiency, roughage management, dual-purpose farming, concentrate supply, and fodder production. An ANOVA model was applied to the six components to investigate the effects of the province, investment levels, grazing type, milk production, and profitability. Differences in milk productivity, roughage management, concentrate supply, and fodder management were significant according to the province and grazing type, which indicated a difference in intensification levels among the cities. Economic efficiency and dual-purpose farming differed significantly for milk production levels as well as milk productivity, and economic efficiency differed for profitability levels. We found a tendency regarding the impact of roughage management on profitability. The results conclude that profitability was associated with improving the milking traits of buffaloes and roughage management of the farms. |
format | Online Article Text |
id | pubmed-9658953 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-96589532022-11-15 Characteristics of Buffalo Farming Systems in Turkey Based on a Multivariate Aggregation of Indicators: A Survey Study Ozturk, Nursen Kocak, Omur Peker, Arzu Serva, Lorenzo Kaygisiz, Ferhan Kecici, Pembe Dilara Yalcintan, Hulya Kilic, Halil Ibrahim Magrin, Luisa Animals (Basel) Article SIMPLE SUMMARY: In the small–medium scale farm management systems, farmers make rational decisions by combining available inputs to optimize or maximize their production outcome. As the availability of inputs differs in each location, variability in farm typology is becoming more evident, resulting in different economic performances. We aimed to determine buffalo farms’ heterogeneity and differences in productivity and profitability in Marmara Region, Turkey. Six components were identified as the best predictors of farms’ efficiency: “Milk productivity”, “Economic efficiency”, “Roughage management”, “Dual purpose farming”, “Concentrate supply”, and “Fodder production”, each of which aggregate indexes that characterize feeding management and economics, in addition to location, investment in buildings and equipment, and grazing type. These factors’ scores allow for farms’ characterization and identifying management inefficiency areas to prompt early and effective interventions by farmers. ABSTRACT: This study aimed to determine the heterogeneity that exists in water buffalo husbandry systems in Marmara Region, Turkey. A questionnaire containing a total of 60 indicators was submitted to 52 farmers. A Principal Component Analysis was performed to reduce original variables into a simplified and latent structure, which was characterized by six orthogonal components: milk productivity, economic efficiency, roughage management, dual-purpose farming, concentrate supply, and fodder production. An ANOVA model was applied to the six components to investigate the effects of the province, investment levels, grazing type, milk production, and profitability. Differences in milk productivity, roughage management, concentrate supply, and fodder management were significant according to the province and grazing type, which indicated a difference in intensification levels among the cities. Economic efficiency and dual-purpose farming differed significantly for milk production levels as well as milk productivity, and economic efficiency differed for profitability levels. We found a tendency regarding the impact of roughage management on profitability. The results conclude that profitability was associated with improving the milking traits of buffaloes and roughage management of the farms. MDPI 2022-11-07 /pmc/articles/PMC9658953/ /pubmed/36359180 http://dx.doi.org/10.3390/ani12213056 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Ozturk, Nursen Kocak, Omur Peker, Arzu Serva, Lorenzo Kaygisiz, Ferhan Kecici, Pembe Dilara Yalcintan, Hulya Kilic, Halil Ibrahim Magrin, Luisa Characteristics of Buffalo Farming Systems in Turkey Based on a Multivariate Aggregation of Indicators: A Survey Study |
title | Characteristics of Buffalo Farming Systems in Turkey Based on a Multivariate Aggregation of Indicators: A Survey Study |
title_full | Characteristics of Buffalo Farming Systems in Turkey Based on a Multivariate Aggregation of Indicators: A Survey Study |
title_fullStr | Characteristics of Buffalo Farming Systems in Turkey Based on a Multivariate Aggregation of Indicators: A Survey Study |
title_full_unstemmed | Characteristics of Buffalo Farming Systems in Turkey Based on a Multivariate Aggregation of Indicators: A Survey Study |
title_short | Characteristics of Buffalo Farming Systems in Turkey Based on a Multivariate Aggregation of Indicators: A Survey Study |
title_sort | characteristics of buffalo farming systems in turkey based on a multivariate aggregation of indicators: a survey study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9658953/ https://www.ncbi.nlm.nih.gov/pubmed/36359180 http://dx.doi.org/10.3390/ani12213056 |
work_keys_str_mv | AT ozturknursen characteristicsofbuffalofarmingsystemsinturkeybasedonamultivariateaggregationofindicatorsasurveystudy AT kocakomur characteristicsofbuffalofarmingsystemsinturkeybasedonamultivariateaggregationofindicatorsasurveystudy AT pekerarzu characteristicsofbuffalofarmingsystemsinturkeybasedonamultivariateaggregationofindicatorsasurveystudy AT servalorenzo characteristicsofbuffalofarmingsystemsinturkeybasedonamultivariateaggregationofindicatorsasurveystudy AT kaygisizferhan characteristicsofbuffalofarmingsystemsinturkeybasedonamultivariateaggregationofindicatorsasurveystudy AT kecicipembedilara characteristicsofbuffalofarmingsystemsinturkeybasedonamultivariateaggregationofindicatorsasurveystudy AT yalcintanhulya characteristicsofbuffalofarmingsystemsinturkeybasedonamultivariateaggregationofindicatorsasurveystudy AT kilichalilibrahim characteristicsofbuffalofarmingsystemsinturkeybasedonamultivariateaggregationofindicatorsasurveystudy AT magrinluisa characteristicsofbuffalofarmingsystemsinturkeybasedonamultivariateaggregationofindicatorsasurveystudy |