scholarly journals Does Small-Scale Livestock Production Use a High Technological Level to Survive? Evidence from Dairy Production in Northeast-ern Michoacán, Mexico

Animals ◽  
2021 ◽  
Vol 11 (9) ◽  
pp. 2546
Author(s):  
Luis Chávez-Pérez ◽  
Ramón Soriano-Robles ◽  
Valentín Efrén Espinosa-Ortiz ◽  
Mauricio Miguel-Estrada ◽  
María Rendón-Rendón ◽  
...  
Keyword(s):  
Principal Component ◽  
Hierarchical Cluster ◽  
Structured Interview ◽  
Small Scale ◽  
Dairy Production ◽  
Dairy Farmers ◽  
High Productivity ◽  
Technological Level ◽  
Current Context ◽  
Small Scale Dairy

The objective of this study was to identify the technological level used by dairy farmers in the northeastern region of Michoacán, Mexico, through a characterisation of small-scale dairy production units, as well as to learn about the socioeconomic conditions that have enabled them to survive in the current context. A semi-structured interview was applied to 114 production units, chosen by stratified random sampling. The interview included technological, production and socioeconomic aspects. Twenty-eight variables were initially explored and 12 were used for multivariate analysis, which included Principal Component Analysis, Hierarchical Cluster Analysis and K-means Cluster. The characterisation carried out showed that the production units that predominate in northeastern Michoacán have survived with a low technological level, having as strengths the diversification of their activities and the use of family labour. On the contrary, production units with a high technological level and high productivity are few and less diversified. This shows the need to generate differentiated public policies for each cluster, aimed at strengthening the aspects that have allowed them to survive and guaranteeing a market for their production, before promoting the use of technologies.

Use of information and communication technologies in small-scale dairy production systems in central Mexico

2020 ◽  
Vol 56 (5) ◽  
pp. 767-779
Author(s):  
Juan de Dios García-Villegas ◽  
Anastacio García-Martínez ◽  
Carlos Manuel Arriaga-Jordán ◽  
Monica Elizama Ruiz-Torres ◽  
Adolfo Armando Rayas-Amor ◽  
...  
Keyword(s):  
Cluster Analysis ◽  
Production Systems ◽  
Communication Technologies ◽  
Small Scale ◽  
Central Mexico ◽  
Dairy Production ◽  
Dairy Farmers ◽  
Use Of Technology ◽  
Group 2 ◽  
Small Scale Dairy

AbstractThe objective of the study was to characterize small-scale dairy production systems to identify the technological preferences according to the farmer and farm characteristics and to analyze the importance and role of the information communication technologies (ICTs) in the dissemination of information related to management and livestock activities. To collect the data, a survey was applied to 170 small-scale dairy farmers from central Mexico. To characterize the farms, a factor analysis (FA) and cluster analysis (CA) were performed. To compare and identify differences between groups, a Kruskal–Wallis test was conducted. Four factors that explain 70.93% of the accumulated variance were identified; these factors explain the use of technology, production characteristics, social connections, and use of ICTs. The cluster analysis identified four groups. Group 1 was integrated by farmers with more experience and the largest farms. Group 2 had higher studies and use of ICTs. Group 3 was formed by young farmers but had a low use of technology. Group 4 contained older farmers with a low use of technology. The young farmers with higher studies have begun to incorporate ICTs into their daily activities on the farm, as observed in Group 2. Smartphones were the most used and were considered important by the farmers of the four groups, since they enable interaction with other farmers and the dissemination of topics of interest related with the farm. In conclusion, four group of farmers were differentiated; therefore, different extension approaches should be implemented to take into account the preferences and the technologies considered most important for each group. The ICTs are emerging technologies among small-scale dairy farmers to communicate information related to livestock management, mainly by young farmers with studies of secondary, as observed in Group 2.

Cost analysis and economic optimization of small-scale dairy production systems in Mexico

2020 ◽  
Vol 237 ◽  
pp. 104028
Author(s):  
Jesús Armando Salinas-Martínez ◽  
Rodolfo Rogelio Posadas-Domínguez ◽  
Leydi Diana Morales-Díaz ◽  
Samuel Rebollar-Rebollar ◽  
Rolando Rojo-Rubio
Keyword(s):  
Cost Analysis ◽  
Production Systems ◽  
Small Scale ◽  
Dairy Production ◽  
Economic Optimization ◽  
Small Scale Dairy

scholarly journals Knowledge and risk factors for foot-and-mouth disease among small-scale dairy farmers in an endemic setting

2019 ◽  
Vol 50 (1) ◽  
Author(s):  
Dickson Machira Nyaguthii ◽  
Bryony Armson ◽  
Philip Mwanzia Kitala ◽  
Beatriz Sanz-Bernardo ◽  
Antonello Di Nardo ◽  
...  
Keyword(s):  
Risk Factors ◽  
Foot And Mouth Disease ◽  
Mouth Disease ◽  
Small Scale ◽  
Dairy Farmers ◽  
Endemic Setting ◽  
Foot And Mouth ◽  
Small Scale Dairy

scholarly journals Artificial insemination services under different institutional framework in Bangladesh

2015 ◽  
Vol 43 (3) ◽  
pp. 166-174
Author(s):  
MM Uddin ◽  
MN Sultana ◽  
GV Huylenbroek ◽  
KJ Peters
Keyword(s):  
Public Service ◽  
Artificial Insemination ◽  
Sampling Technique ◽  
Small Scale ◽  
Cross Sectional Survey ◽  
Dairy Farmers ◽  
Cross Sectional ◽  
Face To Face ◽  
The Public ◽  
Small Scale Dairy

The objective of the study was to compare the provision of the existing artificial insemination service delivery system (AI-SDS) among public, private and autonomous institutions to the small-scale dairy farmers in Bangladesh. A cross-sectional survey was conducted by using a pre-tested and pre-designed questionnaire and face-to-face interview technique. A stratified-purposive sampling technique was applied to select 165 small-scale dairy farmers from four study areas. Descriptive statistics were performed to know the frequency of the provision of AI services. Public services were available in all study areas whereas autonomous services were only delivered in Mymensingh district. The private service was increasing faster than the public and autonomous service. The public service had higher incentives and network coverage compared to private and autonomous services. The results also showed that 50% of the respondent perceived the AI service as “public goods” and showed no willingness to pay (e.g., free of charge for public service). The demand for the services has been increasing but the existing organizations were not able to provide the services especially to the remote areas. From this study, it is recommended that farmers’ needs should be translated in a way that they get access to their required services in a satisfactory manner.DOI: http://dx.doi.org/10.3329/bjas.v43i3.21643 Bang. J. Anim. Sci. 2014. 43 (3): 166-174

scholarly journals Production and Promotion of Triticale as a High Quality Fodder and Feed in Small-Scale Dairy Farmers of Bangladesh

2013 ◽  
Vol 19 (2) ◽  
pp. 217-228
Author(s):  
ME Haque ◽  
SR Waddington ◽  
ZI Sarker ◽  
NR Sarker ◽  
M Akteruzzaman
Keyword(s):  
Dairy Cows ◽  
Dry Mass ◽  
Fresh Mass ◽  
Small Scale ◽  
Dairy Farmers ◽  
High Quality ◽  
Dual Purpose ◽  
Green Fodder ◽  
On Farm ◽  
Small Scale Dairy

In Bangladesh, high quality fodder is scare from December to May for ruminant livestock and feed is expensive throughout the year for poultry. A project was conducted in the cool dry Rabi (December-February) seasons of 2005-06 and 2006-07 to promote triticale (X Triticosecale Wittmack) as a high quality dual-purpose fodder and feed for small-scale dairy and poultry producers. During 2005 and 2006, 504 farm families from six districts in north western and central Bangladesh received training on triticale cultivation and its utilization as a green fodder for dairy cows and for grain. Printed training manuals and visual training materials (including a DVD docudrama) were developed, used in training, and distributed widely. On-farm demonstrations on triticale production were mounted with each trained farm family in two years using a dual-purpose fodder and grain type triticale variety, WRF-7, that earlier on farm research had identified to perform well in Bangladesh. High quality grass fodder was obtained by cutting the vegetative triticale plants either twice (at 35 and 50 days after seeding (DAS)or once (at around 40 days), while the later ratooning tillers produced grain. In 168 farmer demonstrations in 2005-06, the green fodder yield ranged from 4.9 to 20.0 t/ha fresh mass (0.7 t/ha to 2.7 t/ha dry mass) from one cut at 35 DAS and 7 to 28 t/ha fresh mass from two cuts at 35 and 50 DAS. Overall, 62% of farmers reported yields above 10 t/ha of fresh green fodder. A mean grain yield of 1.8 t/ha was obtained from WRF-7 after two cuts on-farm. Straw yields ranged from 0.8 to 7.1 t/ha dry mass. 324 farmers hosted similar demonstrations in 2006-07 and reported higher yields of green fodder, ranging from 7.4 to 33.7 t/ha fresh mass from one cut at 40 to 42 DAS. A higher mean grain yield of 2.8 t/ha was obtained from WRF-7 after one cut for fodder in 2006-07. Assessments of WRF-7 dual-purpose triticale by farmers were very positive, with 97% wanting to grow triticale again in more land ranging from 0.04 ha to 0.81 ha (Table 3). From experience, many farmers decided it was more efficient to cut triticale once for green fodder. Almost all farmers reported benefits to milk production and farm income from feeding triticale fodder to cows. It was concluded that smallholder dairy farmers in North-West Bangladesh can easily produce sufficient amounts of quality fodder for dairy cows and feed for poultry from WRF-7 dual-purpose triticale during periods of severe fodder shortages.DOI: http://dx.doi.org/10.3329/pa.v19i2.16964 Progress. Agric. 19(2): 217 - 228, 2008

scholarly journals Typology of dairy production systems from West Parana State based on production indices and feed used

2016 ◽  
Vol 37 (3) ◽  
pp. 1565
Author(s):  
Marcelo Eduardo Neumann ◽  
Maximiliane Alavarse Zambom ◽  
Maichel Jhonattas Lange ◽  
Ferenc Istvan Bankuti ◽  
Deise Dalazen Castagnara ◽  
...  
Keyword(s):  
Management Practices ◽  
Production Systems ◽  
Principal Component ◽  
Hierarchical Cluster ◽  
Dairy Production ◽  
Structured Interviews ◽  
Explanatory Variables ◽  
Concentrate Supplementation ◽  
Feeding Management ◽  
Fermented Feed

The dairy industry is characterised by a wide diversity of production systems. In this diverse environment, some of the difficulties can be minimised through the grouping of production units through the study of typology. The objective was to characterise the systems of milk production from West Parana State by considering production rates, area, power, facilities, and marketing of milk. To this end, 735 semi-structured interviews with dairy farmers were performed by using a questionnaire for management practices and feed that is used on the farms. To obtain the explanatory variables used for principal component analysis (PCA) and hierarchical cluster analysis (HCA), a homogeneous division of 735 farmers in five groups was used. Ten per cent of producers were randomly selected for the performance of field visits to the properties, where a new questionnaire was applied with specific points regarding feeding management on the property, and feed was collected to determine its composition. The collected data were tabulated and feed was ranked based on the classification proposed by the NRC (2001). Analyses of feed were carried out in the Laboratory of Animal Nutrition of Unioeste. The West Parana State has five groups of dairy production systems. There is great variability in the fresh forages that are used, but maize silage is the main forage utilised for fermented feed, and concentrate supplementation is adopted by more than 60% of farms during both seasons. Changes in the levels of feed components are high among systems.

scholarly journals Economic efficiency of milk production among small-scale dairy farmers in Mukurweini, Nyeri County, kenya

2018 ◽  
Vol 10 (5) ◽  
pp. 152-158 ◽  
Author(s):  
Florence Maina ◽  
John Mburu ◽  
George Gitau ◽  
John VanLeeuwen ◽  
Yigzaw Negusse
Keyword(s):  
Milk Production ◽  
Economic Efficiency ◽  
Small Scale ◽  
Dairy Farmers ◽  
Small Scale Dairy

Local feeding strategies and milk composition in small-scale dairy production systems during the rainy season in the highlands of Mexico

2011 ◽  
Vol 44 (3) ◽  
pp. 637-644 ◽  
Author(s):  
Ángel René Alfonso-Ávila ◽  
Michel A. Wattiaux ◽  
Angélica Espinoza-Ortega ◽  
Ernesto Sánchez-Vera ◽  
Carlos M. Arriaga-Jordán
Keyword(s):  
Rainy Season ◽  
Production Systems ◽  
Milk Composition ◽  
Small Scale ◽  
Feeding Strategies ◽  
Dairy Production ◽  
Small Scale Dairy

scholarly journals FACTORS INFLUENCING ADOPTION OF CROP AND FORAGE RELATED AND ANIMAL HUSBANDRY TECHNOLOGIES BY SMALL-SCALE DAIRY FARMERS IN CENTRAL MEXICO

2015 ◽  
Vol 52 (1) ◽  
pp. 87-109 ◽  
Author(s):  
CARLOS GALDINO MARTÍNEZ-GARCÍA ◽  
PETER DORWARD ◽  
TAHIR REHMAN
Keyword(s):  
Technology Adoption ◽  
Binary Logistic Regression ◽  
Animal Husbandry ◽  
Herd Size ◽  
Perceived Usefulness ◽  
Small Scale ◽  
Binary Logistic Regression Model ◽  
Wealth Status ◽  
Dairy Farmers ◽  
Small Scale Dairy

SUMMARYIn order to identify factors that constrain or favour adoption of five crop or forage related and six animal husbandry technologies promoted by government to small-scale dairy farmers, a field survey was conducted with 115 farmers. A binary logistic regression model was fitted to identify socioeconomic and farm variables explaining the technology adoption. Factors that favoured technology adoption were based on perceived usefulness, productivity and benefits to the farm, farmer's skills and farm characteristics; moreover farmers were more willing to use technologies which required low levels of investment such as de-worming, vaccines, and data recording. Constraints were related to economic restrictions, lack of knowledge, lack of land, herd size, lack of extension advice, lack of information about government programmes, requirements associated with applying for government financial support, and technologies considered to be of little or no importance to the farm such as herbicides, artificial insemination (AI) and milking machines. Adoption of crop or forage related and animal husbandry technologies was significantly associated (p < 0.05) with socioeconomic (farmer's education, farmer's experience, farmer's wealth status) and farm characteristics (herd size, cows in production, milk yield, total hectares and technological level). It is concluded that the approach implemented in this study enables identification of key factors together with the communication approaches that have been successful.

Sign in / Sign up

Export Citation Format

Share Document