Existing crop grown and cropping pattern of NFSM beneficiary and non-beneficiary respondents of Northern Hills agro-climatic zone of Chhattisgarh state

Cropping pattern refers to the proportion of area under different crops at a particular period of time. From the both categories of respondents were adopted Rice- Fellow- Fellow as major cropping pattern that may be because in study area very few respondents have irrigation facilities so that those respondents who have irrigation only adopted vegetables, wheat and other pulses crops in their cropping system. Beneficiary respondents had more (131.68%) average cropping intensity index compare to non-beneficiary respondents (112.99 percent) that may be because NFSM programme has significant impact on existing cropping pattern. In Kharif season maximum respondents cultivated Rice crop in 43.03 percent of their total cropped area which is followed by the other crops i.e. cultivated Maize, Arhar, Urd, Groundnut, Vegetables, Moong, Sesame respectively. About the Rabi season majority of respondents cultivated mustard crop in their 3.90 percent of total cropped area followed by cultivated wheat, Niger, Buckwheat, Vegetables, Gram, Horsgram, Pea, Linseed, Lathyrus Lentil in area respectively. In Jayad season about 8.33 percent respondents cultivated vegetables crops in 0.55 percent of total cropped area and 6.60 percent respondents cultivated maize in 0.53 percent of total cropped area respectively.

Authors

Publication Details

Journal
International Journal of Advanced Biochemistry Research
Published
2024-09-01
DOI
https://doi.org/10.33545/26174693.2024.v8.i9f.2179
Primary Topic
Agricultural Economics and Practices
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Existing crop grown and cropping pattern of NFSM beneficiary and non-beneficiary respondents of Northern Hills agro-climatic zone of Chhattisgarh state

Akanksha Pandey
International Journal of Advanced Biochemistry Research
Agricultural Economics and Practices
article

Existing crop grown and cropping pattern of NFSM beneficiary and non-beneficiary respondents of Northern Hills agro-climatic zone of Chhattisgarh state

Akanksha Pandey
article en

Abstract

Cropping pattern refers to the proportion of area under different crops at a particular period of time. From the both categories of respondents were adopted Rice- Fellow- Fellow as major cropping pattern that may be because in study area very few respondents have irrigation facilities so that those respondents who have irrigation only adopted vegetables, wheat and other pulses crops in their cropping system. Beneficiary respondents had more (131.68%) average cropping intensity index compare to non-beneficiary respondents (112.99 percent) that may be because NFSM programme has significant impact on existing cropping pattern. In Kharif season maximum respondents cultivated Rice crop in 43.03 percent of their total cropped area which is followed by the other crops i.e. cultivated Maize, Arhar, Urd, Groundnut, Vegetables, Moong, Sesame respectively. About the Rabi season majority of respondents cultivated mustard crop in their 3.90 percent of total cropped area followed by cultivated wheat, Niger, Buckwheat, Vegetables, Gram, Horsgram, Pea, Linseed, Lathyrus Lentil in area respectively. In Jayad season about 8.33 percent respondents cultivated vegetables crops in 0.55 percent of total cropped area and 6.60 percent respondents cultivated maize in 0.53 percent of total cropped area respectively.

International Journal of Advanced Biochemistry ResearchVol. 8(9)
Climate action
Openalex Percentile: Top 72%
Agricultural Economics and Practices
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.