Assessment of on-Farm Management And Associated Knowledge of Agro-Biodiversity In Climate Smart Viilages of Nawalpur District in Nepal

2021 ◽  
Vol 19 (1) ◽  
pp. 259-268
Author(s):  
BK Pradhan ◽  
K Rayamajhi ◽  
S Khanal

The study was conducted in Nawalpur district of Nepal to assess status of on-farm management and associated knowledge of agrobiodiversity. Further, this study identified the farmers perception and their local interventions in on-farm agrobiodiversity conservation and management. The snowball and simple random sampling technique were used to identify the farmers practicing on-farm management and those who do not respectively. The pretested questionnaire was administered to 100 farmers of two villages, 50 from each village, from 2nd to 5th March 2018. Descriptive and analytical statistical tools were used to determine and compare the factors associated with on-farm management of agrobiodiversity. The study revealed that out of 98.0% of the respondents practicing on-farm management, almost all had home garden followed by 74.50% involved in value addition, 59.20% agrodiversity fair, 55.10% Community Biodiversity Management (CBM) and 36.10% travelling seminar. There was a significant relation between the type of the farming system and CBM (at p 0.00), travelling seminar (at p 0.043) and value addition (at p 0.036). The majority of respondents were commercial farmers, they sell what they produce for livelihood, and were practicing on-farm management of agrobiodiversity. Different means of information were used, where major being the information given by the respondents. Lack of government’s technical support and information on Community based Biodiversity Management (CBD), were the major reasons for farmers for not being able to acquaint with it, and practice it on local conditions. Proper training and awareness, agricultural promotion programs are the absolute imperative to improve on-farm agrobiodiversity conservation and management status. SAARC J. Agric., 19(1): 259-268 (2021)

2006 ◽  
Vol 2 (1) ◽  
Author(s):  
Awaludin Sofwanto ◽  
Basita Ginting Sugihen ◽  
Djoko Susanto

The regional government policies on vegetables agribusiness development is carried out through agropolitan area development program. The aims of this study are : (1) To get informations on perception of vegetables farmer’s towards the regional government policies in the efforts of vegetables agribusiness development, (2) To get informations on the vegetables farmer’s efforts to increase vegetables agribusiness through agropolitan area development program, and (3) To analyze the correlation of farmer’s perception towards the regional government policies in the efforts of vegetables agribusiness development with the farmer’s efforts to increase vegetables agribusiness. The method of this study is using descriptive correlation. Some important results of this study are : (1) The vegetables farmer’s perception towards the regional government policies in the efforts of vegetables agribusiness development is high, (2) Vegetables farmer’s effort to increase vegetables agribusiness is high, and (3) There is significant correlation between vegetables farmer’s perception and the efforts of the vegetables farmer’s to increase vegetables agribusiness, such as : partnership with the entrepreneurs, on-farm management, and marketing management. The supporting sub-system merit such as : the micro financial institutions, agricultural education and training, agricultural extention, faciliting of regional governments to provide market places at main market in Jakarta should be increased.


Agrekon ◽  
1990 ◽  
Vol 29 (4) ◽  
pp. 430-430
Author(s):  
L K Oosthuizen

2011 ◽  
Vol 15 ◽  
pp. 21-24
Author(s):  
Kelly Smith ◽  
R. Brazendale

Pasture persistence and performance, and associated issues such as black beetle, are of central concern to dairy farmers. The Pasture Renewal Survey 2010 aimed to better understand farmers' confidence in their ability to make informed decisions on their pasture renewal practices, their satisfaction with the success of this decision-making and the performance of their renewed pastures over time. In addition, the survey investigated their attitudes to information sources and what barriers they saw to improving pasture performance on farm. A postal and online survey elicited responses from 776 dairy farmers in the Waikato and Bay of Plenty regions. The four main findings of the work were: 1. Farmers are more confident of their ability to make appropriate on-farm management decisions for renewed pasture than they are of their ability to choose appropriate cultivars and endophyte. 2. Farmers, while generally satisfied with their own success in renewing pasture, reported decreasing levels of satisfaction with renewed pastures over the 3 successive years following renewal. 3. Farmers do not rate information sources very highly in terms of their usefulness in relation to pasture renewal. 4. Weather-related issues and pest-related issues (particularly black beetle) were the most commonly identified barriers to improving pasture performance. Keywords: farmer confidence, farmer satisfaction, information sources, pasture renewal.


2021 ◽  
Vol 3 (2) ◽  
pp. 53-59
Author(s):  
Fadhili S. Guni ◽  
Said H. Mbaga ◽  
Andalwisye M. Katule

A study was conducted to evaluate the effect of management, breed, and their interaction on growth performance, egg production, and survivability under on-station and on-farm management conditions in Tanzania. A total of 1200 chicks, 600 for each breed, Kuroiler, and Sasso of mixed sexes were used. Birds under on-station management were confined and fed commercial ration throughout the experiment while those under on-farm management were allowed to semi-scavenge and supplemented with available feeds in the household. Brooding was carried out on-station for six weeks. Thereafter, birds were sub-divided for on-station and on-farm evaluation where data on body weight, egg production traits, and survival rate were taken at different ages from week 6 up to 52. The General Linear Models procedure fitting management, breed, and interaction between management and breed was used to analyze the data. Results show that management conditions had a significant influence on the performance of the breeds. Birds reared on-station performed better in all traits measured than those reared on-farm. The general effect of the breed was significant only for hen-day egg production (HDEP %) and hen-housed egg production (HHEP) in favour of Sasso chickens. Similarly, Sasso was more efficient at converting feed to live body weight. Interactions between management and breed were observed for all traits except peak egg production rate and mortality rate. While Sasso performance was better than that of Kuroiler on body weight, age at first egg, HDEP, age at peak egg production, and HHEP under the on-station management system, their performance in these traits were similar under the on-farm management except for body weight and age at first egg where Kuroiler was superior to Sasso. The survivability was also higher for Kuroiler than for Sasso under both management systems. It is concluded that genotype by environment (GxE) interaction had significant effects on the performance of the two breeds thus, a need to consider such effect when promoting them for either on-station or on-farm rearing.


Author(s):  
Akalpita Tendulkar

The global population is increasing at a tremendous speed; thus, the demand for safe and secure food to meet this population is in demand. Therefore, traditional farming methods are insufficient to meet this demand; thus, the next revolution in agriculture is required, which is Precision Agriculture (PA), the Fourth Agriculture Revolution. PA is a technology where the concept of farm management is based on observation, measuring, and responding to inter- and intra-field variability in crops. The technologies used for performing precision agriculture are mapping, global positioning system (GPS), yield monitoring and mapping, grid soil sampling application, variable-rate fertilizer application, remote sensing, geographic information systems (GIS), quantifying on farm variability, soil variation, variability of soil water content, time and space scales, robots, drones, satellite imagery, the internet of things, smartphone, and machine learning. Hence, the current chapter will be emphasizing the overview, concepts, history, world interest, benefits, disadvantages, and precision farming needs.


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