scholarly journals Yield Performance and Economic Analysis of Pigeon pea (Cajnus cajan) Through Front Line Demonstration under Rainfed Condition of Tarai Region of Uttar Pradesh

2020 ◽  
Vol 11 (3) ◽  
pp. 264-267
Author(s):  
Narendra Singh ◽  
Keyword(s):  
Economic Analysis ◽  
Uttar Pradesh ◽  
Pigeon Pea ◽  
Front Line ◽  
Yield Performance ◽  
Rainfed Condition

Increasing Productivity Of Vegetables Through Front-line Demonstrations

2016 ◽  
Vol 3 (3) ◽  
Author(s):  
R. S. Suman
Keyword(s):  
Agricultural Practices ◽  
Front Line ◽  
Rainfed Condition ◽  
Percent Increase ◽  
Recommended Practices ◽  
High Yielding Varieties ◽  
Climate Parameter ◽  
Sustainable Agricultural Practices ◽  
The Relationship

The highest yield (420 kg/ha) was recorded in the year 2011-12. In Front-Line Demonstration, it was 27.27 percent more over the farmers practice (320 kg/ha), however, the lowest yield (350 kg/ha) was recorded in the year 2010-11 under Front-Line Demonstration and 310 kg/ha in farmers' practice. Increase in the yield (27.27%) under Front-Line Demonstration over farmers practice was obtained during the year 2011-12. The variation in the percent increase in the yield was found due to variation in agro climate parameter under rainfed condition. Under sustainable agricultural practices, with this study it is concluded that the Front- LineDemonstration programme was effective in changing attitude, skill and knowledge of improved / recommended practices of High Yielding Varieties of peas included adoption. This also improved the relationship between farmers and scientist and built confidence between them.

scholarly journals An economic analysis of brinjal in allahabad district of uttar pradesh state

2017 ◽  
Vol 08 (03) ◽  
pp. 15925-15929 ◽  
Author(s):  
Nitin Barker ◽  
◽  
Dinesh Kumar ◽  
Nahar Singh ◽  
◽  
...  
Keyword(s):  
Economic Analysis ◽  
Uttar Pradesh

Economic analysis of marketing of major vegetables in varanasi district of Uttar Pradesh, India

2014 ◽  
Vol 59 (4) ◽  
pp. 649 ◽  
Author(s):  
Snehal Mishra ◽  
Rakesh Singh ◽  
O.P. Singh
Keyword(s):  
Economic Analysis ◽  
Uttar Pradesh

Insect pest incidence in pigeon pea (Cajanus cajan L. Millsp) in Bundelkhand region of Uttar Pradesh, India

2019 ◽  
Vol 5 (01) ◽  
pp. 90-93
Author(s):  
Sundar Pal ◽  
Prabhat Tiwari
Keyword(s):  
Cajanus Cajan ◽  
Insect Pest ◽  
Uttar Pradesh ◽  
Pigeon Pea ◽  
Pod Borer ◽  
Pest Incidence ◽  
Blister Beetle

season, 2019. A category of insect was recorded on four sucking and six solid feeder insect. The population of Jassid, cowbug and leaf webber were recorded from 32nd SW to 50th SW where population rang was 0.33±0.58-6.67±2.31, 0.67±0.19-3.00±0.33 and 1.33±0.58-9.33±0.58 insect/week, respectively. The maximum population of pod bug (10.67±1.53 bug/plant/week), green bug (5.00±1.0053 bug/plant/week), spotted pod borer (8.67±0.58 larvae/plant/week), blister beetle (2.67±1.15 adults/plant/week), pod fly (5.00±1.00 larvae/plant/week), pod borer (8.33±0.58 larvae/plant/week) and plum moth (4.33±0.58 larvae/plant/week) were recorded from 10th, 44th, 48th, 44th, 45th, 49th and 49th SW, respectively.

Impact analysis of front line demonstrations on horsegram in Bhilwara district of Rajasthan (India) under rainfed condition

2016 ◽  
Vol 39 (1) ◽  
Author(s):  
R. K. Sharma ◽  
S. K. Sharma ◽  
C. M. Yadav
Keyword(s):  
Impact Analysis ◽  
Economic Feasibility ◽  
Cost Ratio ◽  
Front Line ◽  
Rainfed Condition ◽  
Benefit Cost Ratio ◽  
Yield Gaps ◽  
Semi Arid Region ◽  
Benefit Cost ◽  
Improved Technology

During the period from 2006 to 2011, 80 frontline demonstrations were conducted on the horsegram production technology to transfer the technologies among the farmers of Bhilwara district in semi-arid region of south Rajasthan with the objective to evaluate the economic feasibility of technology transfer and adoption. Adoption of improved technology had significant impact on seed yield vis-a-vis yield gaps in horsegram. Improved technology enhanced horsegram yield from 294 kg/ha (farmer’s practice) to 537 kg/ha (improved practice), an overall increase of 40.83%. There was a wide yield variation between potential and demonstration yields of horsegram mainly due to technology and extension gaps. Extension yield gaps varied to the extent of 96 to 180 kg/ ha whereas technology yield gaps varied from 288 to 413 kg/ ha. Technology index varied from 34.91 to 50.06 %, which indicate for further scope of improvement in productivity of horsegram in the region. The marginal difference between benefit-cost ratio of improved practice and farmer’s practice proves of adoption of improved technologies by the farmers. However, to further bridge up the gap between technology developed and technology transferred, there is a need to strengthen the extension network besides emphasis on specific local recommendations.

scholarly journals Pre-harvest forecast of pigeon-pea yield using discriminant function analysis of weather variables

MAUSAM ◽  
2021 ◽  
Vol 67 (3) ◽  
pp. 577-582
Author(s):  
R. R. YADAV ◽  
B. V. S. SISODIA ◽  
SUNIL KUMAR
Keyword(s):  
Discriminant Function ◽  
Discriminant Function Analysis ◽  
Statistical Models ◽  
Time Series Data ◽  
Function Analysis ◽  
Uttar Pradesh ◽  
Pigeon Pea ◽  
Series Data ◽  
Maximum Temperature ◽  
Weather Variables

In the present paper, an application of discriminant function analysis of weather variables (minimum & maximum temperature, Rainfall, Rainy days, Relative humidity 7 hr & 14 hr, Sunshine hour and Wind velocity )for developing suitable statistical models to forecast pigeon-pea yield in Faizabad district of Eastern Uttar Pradesh has been demonstrated. Time series data on pigeon-pea yield for 22 years (1990-91 to 2011-12) have been divided into three groups, viz., congenial, normal, and adverse based on de-trended yield distribution. Considering these groups as three populations, discriminant function analysis using weekly data on eight weather variables in different forms has been carried out. The sets of discriminant scores obtained from such analysis have been used as regressor variables along with time trend variable and pigeon-pea yield as regressand in development of statistical models. In all nine models have been developed. The forecast yield of pigeon-pea have been obtained from these models for the year 2009-10, 2010-11 and 2011-12, which were not included in the development of the models. The model 4 and 9 have been found to be most appropriate on the basis of R2adj, percent deviation of forecast, percent root mean square error (%RMSE) and percent standard error (PSE) for the reliable forecast of pigeon-pea yield about two and half months before the crop harvest.

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