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Information sources and their perceived effectiveness on adoption of recommended technology for the rice crop in district Naushahro Feroze, Sindh, Pakistan

Abstract Present study was carried out in district Naushahro Feroze, Sindh Pakistan, In order to identify the rice farmers' awareness regarding modern technologies. Stratified Random Sampling method was applied for the selection of one hundred (100) rice growers from the district. The data revealed that a more than half (55%) of the rice growers were literate having average 9.3 years of farming experience. Vast majority (82%) of the rice growers were tenant’s (7.5 acres per family), majority (80%) of them were using canal water. While, all the rice growers perceived that sowing method and weed control measures were completely diffused among them, where more than half (63%) of the rice growers perceived that new varieties for rice were completely diffused and almost among 90% of the farmers the insect control measures completely diffused. The top rank sources of information as perceived by the rice growers, was neighboring farmers, followed by radio, television, and contact farmers etc. Based on research findings, it i s recommended that farmers do not care to use recommended land preparation technologies and fertilizer application. Therefore, it is recommended that an extension worker should stimulate farmers motives to use them properly. The study found that the performance of agriculture extension services was insignificant diffusion adoption process of recommended technologies. Therefore, it is recommended that agricultural extension services should come up to regulate the farm and home visits to the rice growers in this connection.

Abstract
Present study was carried out in district Naushahro Feroze, Sindh Pakistan, In order to identify the rice farmers' awareness regarding modern technologies. Stratified Random Sampling method was applied for the selection of one hundred (100) rice growers from the district. The data revealed that a more than half (55%) of the rice growers were literate having average 9.3 years of farming experience. Vast majority (82%) of the rice growers were tenant’s (7.5 acres per family), majority (80%) of them were using canal water. While, all the rice growers perceived that sowing method and weed control measures were completely diffused among them, where more than half (63%) of the rice growers perceived that new varieties for rice were completely diffused and almost among 90% of the farmers the insect control measures completely
diffused. The top rank sources of information as perceived by the rice growers, was neighboring farmers, followed by radio, television, and contact farmers etc. Based on research findings, it i s recommended that farmers do not care to use recommended land preparation technologies and fertilizer application. Therefore, it is recommended that an extension worker should stimulate farmers motives to use them properly. The study found that the performance of agriculture extension services was insignificant diffusion adoption process of recommended technologies. Therefore, it is recommended that agricultural extension services should come up to regulate the farm and home visits to the rice growers in this connection.

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Int. J. Agr<strong>on</strong>. Agri. R.<br />

Majority <strong>of</strong> almost 80 percent farmers ma<strong>in</strong>ly depend<br />

up<strong>on</strong> canal water to irrigate <strong>the</strong> <strong>rice</strong> <strong>crop</strong> <strong>in</strong> study<br />

area. Most, 45% <strong>of</strong> <strong>the</strong> farmers were gett<strong>in</strong>g <strong>the</strong> yield<br />

<strong>of</strong> 55 mnds/acre, 31% were gett<strong>in</strong>g 45 mds/acre, <str<strong>on</strong>g>and</str<strong>on</strong>g><br />

24% <strong>of</strong> <strong>the</strong> farmers were gett<strong>in</strong>g 40 mds/acre yield <strong>of</strong><br />

<strong>rice</strong>. Dur<strong>in</strong>g field surveys, it was observed that <strong>district</strong><br />

government al<strong>on</strong>g with o<strong>the</strong>r CBOs had been tailor<strong>in</strong>g<br />

new techniques <strong>in</strong> order to boost<strong>in</strong>g <strong>the</strong> status <strong>of</strong><br />

educati<strong>on</strong>, which were appreciable ef<strong>for</strong>ts towards<br />

<strong>in</strong>crease <strong>in</strong> overall enrolment. A detail <strong>on</strong> <strong>the</strong><br />

household characteristics has been shown through<br />

Table 1.<br />

Level <strong>of</strong> diffusi<strong>on</strong> <strong>of</strong> <strong>recommended</strong> technologies as<br />

<str<strong>on</strong>g>perceived</str<strong>on</strong>g> by farmers<br />

The farmers were asked to rank <str<strong>on</strong>g>and</str<strong>on</strong>g> give <str<strong>on</strong>g><strong>the</strong>ir</str<strong>on</strong>g><br />

percepti<strong>on</strong>s regard<strong>in</strong>g <strong>the</strong> level <strong>of</strong> diffusi<strong>on</strong> <strong>of</strong><br />

<strong>recommended</strong> technologies based <strong>on</strong> a Likert type<br />

scale <strong>for</strong> <strong>in</strong>stance (1= not diffused, 2= partially<br />

diffused, 3= moderately diffused <str<strong>on</strong>g>and</str<strong>on</strong>g> 4= completely<br />

diffused). All <strong>the</strong> <strong>in</strong><strong>for</strong>mati<strong>on</strong> regard<strong>in</strong>g to <strong>the</strong> level <strong>of</strong><br />

diffusi<strong>on</strong> <strong>of</strong> <strong>recommended</strong> technologies was<br />

presented <strong>in</strong> Table 2, <strong>in</strong> which 100 percent <strong>of</strong> <strong>the</strong><br />

resp<strong>on</strong>dents were agreed that <strong>the</strong> sow<strong>in</strong>g method <str<strong>on</strong>g>and</str<strong>on</strong>g><br />

weed c<strong>on</strong>trol measures were completely diffused<br />

am<strong>on</strong>g <strong>the</strong>m as <str<strong>on</strong>g>perceived</str<strong>on</strong>g> by <strong>the</strong> farmers. While,<br />

majority (63%) <strong>of</strong> farmers <str<strong>on</strong>g>perceived</str<strong>on</strong>g> that new<br />

varieties <strong>for</strong> <strong>rice</strong> were completely diffused, while 90%<br />

<strong>of</strong> <strong>the</strong> farmers <str<strong>on</strong>g>perceived</str<strong>on</strong>g> that <strong>the</strong> <strong>in</strong>sect c<strong>on</strong>trol<br />

measures <strong>in</strong><strong>for</strong>mati<strong>on</strong> was complete diffused am<strong>on</strong>g<br />

<strong>the</strong>m. Whereas more than half (58%) <strong>of</strong> farmers<br />

<str<strong>on</strong>g>perceived</str<strong>on</strong>g> that irrigati<strong>on</strong> technologies <strong>for</strong> <strong>rice</strong> were<br />

completely diffused am<strong>on</strong>g <strong>the</strong>m.<br />

Table 1. Descriptive statistics (n=100).<br />

Descriptive<br />

Statistics<br />

Social<br />

Average age <strong>of</strong> <strong>the</strong> Resp<strong>on</strong>dents (year) 37<br />

Literacy rate <strong>of</strong> <strong>the</strong> resp<strong>on</strong>dents (percent) 55<br />

Farm<strong>in</strong>g Experience average (years) 9.3<br />

Status as tenants (percent) 82<br />

Ec<strong>on</strong>omic<br />

L<str<strong>on</strong>g>and</str<strong>on</strong>g> Hold<strong>in</strong>g per family, average (acres) 7.5<br />

Agriculture as major source <strong>of</strong> <strong>in</strong>come<br />

67<br />

(percent)<br />

Area under Rice Crop (acres) 4.6<br />

Sources <strong>of</strong> canal Irrigati<strong>on</strong> (percent) 80<br />

Average gra<strong>in</strong> <strong>rice</strong> yield per acre (mds) 45.9<br />

Average chuff (by product) yield per acre (mds) 20<br />

Table 2. Level <strong>of</strong> diffusi<strong>on</strong> <strong>of</strong> <strong>recommended</strong> technologies as <str<strong>on</strong>g>perceived</str<strong>on</strong>g> by farmers (n=100).<br />

Recommended<br />

1* 2 3 4<br />

Technologies<br />

F. %age F. %age F. %age F. % age<br />

Total Mean S.D. Rank<br />

Sow<strong>in</strong>g method - - - - - - 100 100.0 100 4.00 0.00 1 st<br />

Weed c<strong>on</strong>trol<br />

measures<br />

- - - - - - 100 100.0 100 4.00 0.00 1 st<br />

Insect c<strong>on</strong>trol<br />

measures<br />

1 1.0 9 9.0 - - 90 90.0 100 3.79 0.64 2 nd<br />

New varieties 8 8.0 29 29.0 - - 63 63.0 100 3.18 1.10 4 th<br />

Irrigati<strong>on</strong> 19 19.0 18 18.0 5 5.0 58 58.0 100 3.02 1.23 5 th<br />

L<str<strong>on</strong>g>and</str<strong>on</strong>g> prep.<br />

Technologies<br />

32 32.0 25 25.0 2 2.0 41 41.0 100 2.52 1.31 6 th<br />

Fertilizer applicati<strong>on</strong> 58 58.0 40 4.0 - - 2 2.0 100 1.46 0.61 7 th<br />

*Scale: 1= Not diffused, 2= Partially diffused, 3= Moderate diffused 4= Complete diffused.<br />

Use <strong>of</strong> <strong>in</strong><strong>for</strong>mati<strong>on</strong> <str<strong>on</strong>g>sources</str<strong>on</strong>g> as <str<strong>on</strong>g>perceived</str<strong>on</strong>g> by farmers<br />

The farmers were asked to give <str<strong>on</strong>g><strong>the</strong>ir</str<strong>on</strong>g> percepti<strong>on</strong> <strong>on</strong><br />

<str<strong>on</strong>g>sources</str<strong>on</strong>g> <strong>of</strong> <strong>in</strong><strong>for</strong>mati<strong>on</strong> regard<strong>in</strong>g <strong>recommended</strong><br />

technologies. The resp<strong>on</strong>ses were managed through<br />

rat<strong>in</strong>g us<strong>in</strong>g Likert type scale <strong>for</strong> example (1= not at<br />

all, 2= some times, 3= most <strong>of</strong> times, 4= almost always<br />

<str<strong>on</strong>g>and</str<strong>on</strong>g> 5= always). The <strong>in</strong><strong>for</strong>mati<strong>on</strong> regard<strong>in</strong>g use <strong>of</strong><br />

<strong>in</strong><strong>for</strong>mati<strong>on</strong> <str<strong>on</strong>g>sources</str<strong>on</strong>g> about <strong>recommended</strong> technologies.<br />

Table 3 highlights <strong>the</strong> frequency <strong>of</strong> use <strong>of</strong> <strong>in</strong><strong>for</strong>mati<strong>on</strong><br />

<str<strong>on</strong>g>sources</str<strong>on</strong>g> regard<strong>in</strong>g <strong>the</strong> use <strong>of</strong> <strong>recommended</strong><br />

technologies as <str<strong>on</strong>g>perceived</str<strong>on</strong>g> by farmers, with majority <strong>of</strong><br />

farmers agreed that <str<strong>on</strong>g><strong>the</strong>ir</str<strong>on</strong>g> neighbor<strong>in</strong>g farmers are <strong>the</strong><br />

ma<strong>in</strong> source <strong>of</strong> gett<strong>in</strong>g new <strong>in</strong><strong>for</strong>mati<strong>on</strong> regard<strong>in</strong>g<br />

<strong>recommended</strong> technologies <str<strong>on</strong>g>and</str<strong>on</strong>g> were ranked 1 st with a<br />

mean score <strong>of</strong> (Mean = 4.49, S.D = 0.83).<br />

Tunio et al. Page 134

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