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Crop Diversification in Rangpur Region

M A U Zaman
Rice Farming Systems Division, BRRI, Gazipur

S Pramanik
BRRI RS Rangpur

N Parvin
Rice Farming Systems Division, BRRI, Gazipur

A Khatun
Rice Farming Systems Division, BRRI, Gazipur

Abstract/ Executive Summary:

For the planning of future research and development elaborate information and a reliable database on existing cropping patterns, cropping intensity and crop diversity of a particular area are of prime importance for guiding policy makers, researchers, extensionists and development workers. A massive group work was accomplished over all 35 upazilas of Rangpur region during 2016 using pre-tested semi- structured questionnaire with a view to document the existing cropping patterns, cropping intensity and crop diversity in the area. Boro−Fallow−T. Aman occupied the largest portion (53%) of net cropped area (NCA) with its distribution in all upazilas. The second largest area, 5% of NCA, was covered by Maize−Fallow−T. Aman which was spread out over 23 upazilas. Under the current investigation 134 cropping patterns were identified. The highest number of cropping patterns was identified 31 in Badarganj of Rangpur and the lowest was 10 in Razibpur of Kurigram district. The highest value of CDI was observed 0.991 in Razibpur upazila followed by 0.989 in Chilmari of Kurigram. The range of cropping intensity values was recorded 190-255%. The maximum value was for Gangachara upazila of Rangpur and minimum for Gaibandha sadar upazila. The overall CDI of Rangpur region was calculated 0.871 and the average cropping intensity at regional level was 219%.

Keywords: Cropping system, Tobacco, Land use, Diversity index, Jamuna Floodplain

Location: Rangpur region

Start Date: 00-00-2016

End Date:

Program Area: Farming System

Non-commodity: Cropping pattern

Objectives:

Understand the existing cropping patterns scenario in Rangpur region
Visualize the existing land use pattern at upazila and regional level
Determine the crop diversity and cropping intensity at local and regional level.

Methodology:

Thirty-five upazilas of Rangpur, Gaibandha, Nilphamari, Lalmonirhat and Kurigram were the location of this study. Data were collected using double stage procedure. At initial stage, data were collected through pre-tested semi-structured questionnaire from 35 pre- assigned Sub-Assistant Agriculture Officers (SAAO) of each upazila during June 2016 at upazila level. SAAOs were purposively preselected by Agriculture Extension Officers (AEO), Additional Agriculture Officer (AAO) and Upazila Agriculture Officer (UAO) or altogether. Prior to data collection, the pre- tested questionnaire was explained along with proper guidelines to the AEOs or UAOs or both and handed over to them at each Deputy Director’s office of the Directorate of Agricultural Extension (DAE) during monthly meeting for the sake of accurate data collection. The scientists of RFS Division collected The filled questionnaires, checked and analyzed those find the inconsistencies of the supplied data before validation workshop. All the inconsistencies among the information were documented. The collected data along with documented inconsistencies were discussed in district level workshop to for necessary correction and validation. Second stage of data collection was day-long data validation workshop at district level. The workshop dates were 30 August for Kurigram; 31 August for Rangpur; 19 September for Lalmonirhat; 21 September for Gaibandha; and 5 October 2016 for Nilphamari. Four field-workers i e one SAPPO and three SAAOs experienced and engaged in crop-based data documentation, all officers from all upazilas viz UAOs, AEOs, AAEOs, DD (DAE), DD (Horticulture), DD of Seed Certification Agency, DTO and ADDs, one representative from Agricultural Training Institute (ATI) and scientists of BRRI regional station, Rangpur participated in the data validation workshop. The number of participants of validation workshop ranged from 48 to 84 in each district. All the participants were divided into three to four groups for data validation. Each group was facilitated by two RFSD scientists to finalize and validate the data and authenticated data were captured. Crop diversity index was calculated by using the following equation described by Kshirsagar et al. (1997). The index is zero for a land area growing only one crop. It approaches unity as the level of diversity increases. Compilation and processing of collected data were done using Micro Soft Excel programme. Descriptive statistics were used to facilitate the presentation of the findings.

Source of Information: Bangladesh Rice J. 21 (2) : 255-271, 2017

Article Link (Online Journal):

Funding Source:

1. Government

Budget:

Total Budget (Tk.) :

Achievement/Findings:

The net cropped area of the Rangpur region is 696,420 ha. Crops occupying the particular land for round the year were considered under annual crops. The major annual crops reported in the region were pineapple, sugarcane, banana, papaya, betel leaf, ginger and turmeric. The annual crops area in different upazilas ranged from 20 to 2,610 ha. The annual crops area accounted only 2% of the net cropped area (NCA) in the region. At a glance the region possesses about 6% single cropped area (SCA), 64% double cropped area (DCA), 27% triple cropped area (TCA). The quadruple cropped area (QCA) also exists as a very negligible portion (0.03%) and is limited in only two upazilas viz Gangachara and Rowmari. The SCA had the major share of NCA in Pirganj upazilas of Rangpur district; Chilmari and Nagesawari of Kurigram district; Sundarganj, Fulchhari and sadar upazila of Gaibandha district followed by corresponding double cropped area (DCA). Pirgachha upazila of Rangpur district, Palasbari of Gaibandha, Saidpur and Dimla of Nilphamari had no single cropped area at all. Most of the upazilas were dominated by DCA. The exceptions are Gangachara upazila of Rangpur district where triple cropped area is the dominating one. The area, which could not be defined under SCA, DCA, TCA or QCA was considered as other whose coverage is less than 1% of the NCA.

Knowledge Management: Journal