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

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.

Whole-crop triticale silage for dairy cows grazing perennial ryegrass (Lolium perenne) or tall fescue (Lolium arundinaceum) pastures in small-scale dairy systems during the dry season in the highlands of Mexico

2020 ◽  
Vol 52 (4) ◽  
pp. 1903-1910
Author(s):  
Felipe de Jesús González-Alcántara ◽  
Julieta Gertrudis Estrada-Flores ◽  
Ernesto Morales-Almaraz ◽  
Felipe López-González ◽  
Aida Gómez-Miranda ◽  
...  
Keyword(s):  
Dairy Cows ◽  
Lolium Perenne ◽  
Perennial Ryegrass ◽  
Tall Fescue ◽  
Dry Season ◽  
Small Scale ◽  
Lolium Arundinaceum ◽  
Dairy Systems ◽  
Small Scale Dairy

Milk production and fatty acid profile of dairy cows grazing four grass species pastures during the rainy season in small-scale dairy systems in the highlands of Mexico

2018 ◽  
Vol 50 (8) ◽  
pp. 1797-1805 ◽  
Author(s):  
D. A. Plata-Reyes ◽  
E. Morales-Almaraz ◽  
C. G. Martínez-García ◽  
G. Flores-Calvete ◽  
F. López-González ◽  
...  
Keyword(s):  
Fatty Acid ◽  
Dairy Cows ◽  
Fatty Acid Profile ◽  
Milk Production ◽  
Rainy Season ◽  
Grass Species ◽  
Small Scale ◽  
Dairy Systems ◽  
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

Effect of silage from ryegrass intercropped with winter or common vetch for grazing dairy cows in small-scale dairy systems in Mexico

2011 ◽  
Vol 43 (5) ◽  
pp. 947-954 ◽  
Author(s):  
Martha Hernández-Ortega ◽  
Darwin Heredia-Nava ◽  
Angelica Espinoza-Ortega ◽  
Ernesto Sánchez-Vera ◽  
Carlos M. Arriaga-Jordán
Keyword(s):  
Dairy Cows ◽  
Small Scale ◽  
Common Vetch ◽  
Dairy Systems ◽  
Grazing Dairy Cows ◽  
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 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

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.

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