scholarly journals Cropping Patterns in the South East Coastal Region of Bangladesh

1970 ◽  
Vol 4 (1) ◽  
pp. 53-60 ◽  
Author(s):  
SM Shahidullah ◽  
MSA Talukder ◽  
MS Kabir ◽  
AH Khan ◽  
Nur-E Elahi
Keyword(s):  
Coastal Area ◽  
Coastal Region ◽  
Structured Interview ◽  
Cropping Pattern ◽  
Rice Varieties ◽  
Cropping Intensity ◽  
Cropping Patterns ◽  
Sharp Variation ◽  
Rabi Crops ◽  
Potential Area

The study was conducted in greater Noakhali district to investigate the major cropping patterns during 2000–2001. Information was collected through a structured interview schedule. A total of 18 major cropping patterns were identified. Most dominant cropping pattern, single T. Aman alone occupied 35% land of net cropped area. The next three, Boro–Fallow–T. Aman, Fallow–B.Aus–T. Aman and single Boro represents 14, 11 and 11%, respectively of the net cropped area. A sharp variation was observed in cropping patterns among the different upazillas. Crop land of Noakhali, Companiganj, and Ramgati is mainly occupied by single T. Aman cropping pattern. Lion share of net cropped area in Feni, Chhagalnaiya, Parshuram and Raipur is covered by Boro–Fallow–T. Aman pattern. Begumganj and Chatkhil are an exception. More than 80% of the cropped area is in these two upazillas is cahracterized by single Boro cropping pattern. The average cropping intensity of the greater Noakhali district was 163%. The highest cropping intensity was 194% in Ramganj and the lowest 115 % was in Begumganj. The highest adoption rate of modern rice varieties was found in Boro–Fallow–T. Aman cropping pattern in all upazillas. The farmers need improved varieties of Aus, T. Aman and minor Rabi crops purposively suitable for coastal area. Researches in these fields should get priority. Single Boro area, especially of Begumganj and Chatkhil is the most potential area for fish culture after the harvest of Boro rice. Key words: Cropping patterns, cropping intensity, coastal area.

scholarly journals Adoption of Climate Resilient Cropping Patterns in Southern Coastal Region of Bangladesh: Farmer’s’ Perception

2021 ◽  
Vol 18 (2) ◽  
pp. 207-217
Author(s):  
J Sultana ◽  
MB Ahmed ◽  
MY Ali
Keyword(s):  
Group Discussion ◽  
Coastal Region ◽  
Cropping Pattern ◽  
Personal Interview ◽  
Cropping Intensity ◽  
Cropping Patterns ◽  
The Past ◽  
Mass Media Exposure ◽  
Relationship Of ◽  
Input Cost

The study was carried out in Batiaghata upazila of Khulna district to identify different climate resilient cropping patterns that had been practiced over the past three decades as well as the farmers’ perception about the causes of adopting climate resilient cropping patterns. Information was collected through personal interview, focus group discussion, systematic study of available records and browsing internet. A slight change was observed regarding climate resilient cropping pattern over the last 30 years in the study area. About 30 years ago, five cropping patterns were practiced, only one pattern (Fallow-Fallow-T. Aman) was found climate resilient. About 20 years ago, 11 cropping patterns were practiced, 5 patterns (Fallow-Fallow- T. Aman, Boro-Fallow-T. Aman, Boro-Gher (vegetables)-T. Aman, Boro-Gher (vegetables)-Fallow and Fallow-Gher (vegetables)-T. Aman) were found climate resilient. About 10 years ago, 11 cropping patterns were practiced, 7 patterns (Sesame-Fallow-T. Aman, Boro- Fallow-T. Aman, Boro-Gher (vegetables)-Fallow, Fallow-Fallow- T.Aman, Boro-Jute-T. Aman, Boro-Gher (vegetables)-T. Aman and Fallow-Gher (vegetables)-T. Aman) were found climate resilient. At present, 14 cropping patterns are being practiced. Out of which, six patterns are climate resilient. Respondents justified nine causes for adopting climate resilient cropping patterns, while increase in cropping intensity was the most significant, while lower input cost was least significant. Most of the respondents (93.80%) had highly clear perception and the rest (6.20%) had moderately clear perception. A positive relationship of education and mass media exposure was observed with their perception. SAARC J. Agri., 18(2): 207-217 (2020)

scholarly journals Diversity of Cropping Pattern in Bogra

2018 ◽  
Vol 21 (2) ◽  
pp. 73-90
Author(s):  
ABMJ Islam ◽  
SM Shahidullah ◽  
ABM Mostafizur ◽  
A Saha
Keyword(s):  
Diversity Index ◽  
Regional Level ◽  
Crop Diversity ◽  
Cropping Pattern ◽  
Cropping Intensity ◽  
Cropping Patterns ◽  
Agricultural Region ◽  
Maximum Value ◽  
Structured Questionnaire

With a view to document the existing cropping patterns, cropping intensity and crop diversity, a study was carried out over all the upazilas of Bogra agricultural region during 2015-16. A pre-tested semi-structured questionnaire was properly used for this purpose. In the findings it was recorded that 21.88% of net cropped area (NCA) of the region was occupied by the cropping pattern Boro−Fallow−T. Aman. This pattern was found to be distributed over 27 upazilas out of 35. The second largest area, 13.26% of NCA, was covered by Potato−Boro−T. Aman, which was spread over 17 upazilas. A total of 177 cropping patterns were identified in the whole region in this investigation. The highest number of cropping patterns was identified 36 in Nandigram upazila and the lowest was six in Dupchachia and Kahalu upazila of Bogra district. The lowest crop diversity index (CDI) was reported 0.718 in Raiganj upazila of Sirajganj district followed by 0.734 in Kalai of Joypurhat. The highest value of CDI was observed 0.978 in Pabna sadar followed by 0.972 in Bera upazila. The range of cropping intensity values was recorded 183-291%. The maximum value was for Khetlal upazila of Joypurhat district and minimum for Bera of Pabna. As a whole the CDI of Bogra region was calculated 0.966 and the average cropping intensity at regional level was 234%.Bangladesh Rice j. 2017, 21(2): 73-90

scholarly journals Cropping Systems and their Diversity in Khulna Region

2018 ◽  
Vol 21 (2) ◽  
pp. 203-215
Author(s):  
M Harunur Rashid ◽  
BJ Shirazy ◽  
M Ibrahim ◽  
SM Shahidullah
Keyword(s):  
Diversity Index ◽  
Cropping Systems ◽  
Crop Diversity ◽  
Cropping Pattern ◽  
Cropping Intensity ◽  
Cropping Patterns ◽  
The Third ◽  
Waterlogged Area ◽  
Boro Rice ◽  
Structured Questionnaire

This study includes the existing cropping pattern, cropping intensity and crop diversity of Khulna region. A pre-designed and pre-tested semi-structured questionnaire was used to collect the information and validated through organizing workshop. Single T. Aman cropping pattern was the most dominant cropping pattern in Khulna region existed in 17 out of 25 upazilas. Boro-Fallow-T. Aman cropping pattern ranked the second position distributed almost in all upazilas. Boro-Fish was the third cropping pattern in the region distributed to 17 upazilas with the major share in Chitalmari, Dumuria, Rupsha, Tala, Kalaroa, Mollahat, Terokhada, Bagerhat sadar, Fakirhat, Rampal and Phultala upazilas. Single Boro rice was recorded as the fourth cropping pattern covered 18 upazilas with the higher share in waterlogged area of Dumuria, Mollahat, Tala, Bagerhat sadar, Fakirhat and Rampal. The highest number of cropping patterns was recorded in Kalaroa (26) followed by Tala (24) and the lowest was reported in Mongla (5). The overall crop diversity index (CDI) for the region was 0.93. The highest CDI was in Tala (0.95) and the lowest in Dacope (0.42). The average cropping intensity (CI) of the Khulna region was 171% with the lowest in Mongla (101%) and the highest in Kalaroa (224%).Bangladesh Rice j. 2017, 21(2): 203-215

scholarly journals Diversity of Cropping Patterns and Land Use Practices in Faridpur Region

2018 ◽  
Vol 21 (2) ◽  
pp. 157-172
Author(s):  
ABM Mostafizur ◽  
MAU Zaman ◽  
M Shahidullah ◽  
M Nasim
Keyword(s):  
Diversity Index ◽  
Crop Diversity ◽  
Cropping Pattern ◽  
Policy Makers ◽  
Cropping Intensity ◽  
Cropping Patterns ◽  
Agriculture Sector ◽  
Water Ecosystem ◽  
Development Workers ◽  
Structured Questionnaire

The development of agriculture sector largely depends on the reliable and comprehensive statistics of the existing cropping patterns, cropping intensity and crop diversity of a particular area, which will provide guideline to policy makers, researchers, extensionists and development workers. The study was conducted over all 29 upazilas of Faridpur region during 2015-16 using pre-tested semi-structured questionnaire with a view to document the existing cropping patterns, cropping intensity and crop diversity of this area. From the present study it was observed that about 43.23% net cropped area (NCA) was covered by only jute based cropping patterns on the other hand deep water ecosystem occupied about 36.72% of the regional NCA. The most dominant cropping pattern Boro−Fallow− Fallow occupied about 24.40% of NCA with its distribution over 28 out of 29. The second largest area, 6.94% of NCA, was covered by Boro-B. Aman cropping pattern, which was spread out over 23 upazilas. In total 141 cropping patterns were identified under this investigation. The highest number of cropping patterns was identified 44 in Faridpur sadar and the lowest was 12 in Kashiani of Gopalganj and Pangsa of Rajbari. The lowest crop diversity index (CDI) was reported 0.448 in Kotalipara followed by 0.606 in Tungipara of Gopalganj. The highest value of CDI was observed 0.981 in Faridpur sadar followed by 0.977 in Madhukhali of Faridpur. The range of cropping intensity value was recorded 113- 262%. The maximum value was for Saltha of Faridpur and minimum for Kotalipara of Gopalganj. As a whole the CDI of Faridpur region was calculated 0.971 and the average cropping intensity at regional level was 197%.Bangladesh Rice j. 2017, 21(2): 157-172

scholarly journals Studi Peningkatan Intensitas Luas Dan Pola Tanam Pada Daerah Irigasi Krueng Jreue

2018 ◽  
Vol 1 (3) ◽  
pp. 141-149
Author(s):  
Faisal Faisal ◽  
Alfiansyah Yulianu ◽  
Ella Mailianda
Keyword(s):  
Water Balance ◽  
Cropping Pattern ◽  
Cropping Intensity ◽  
Cropping Patterns ◽  
Irrigation Area ◽  
Discharge Water ◽  
Cropping Season ◽  
Rice Area ◽  
Study Results ◽  
Crop Area

Krueng Jreue irrigation area is one of the oldest irrigation in Aceh Besar district, located in the District of Indrapuri, was inaugurated in 1972 by President Soeharto. Rice area irrigated by this irrigation is 4277.6 ha. Jreue Krueng irrigated areas have rice-rice cropping intensity of plants ranging from 158% to 156%. The intensity of these plants are still below the expected crop intensity, is equal to 200%. To increase the intensity of these plants, it is necessary to study the increased intensity of Krueng Jreue tanamana irrigation area by selecting the appropriate alternative cropping patterns according to the water balance. This study aims to determine the amount of discharge mainstay available on the weir, know the size of the crop water requirement for each alternative, determine optimal crop area that can be irrigated by water that is available, and conduct studies on water balance based cropping planned. Expected to describe the water balance of alternative cropping patterns were obtained. The method used in this research including data collection and data analysis to determine the mainstay discharge, water irrigation, cropping pattern and cropping intensity. The study results obtained by the intensity of the plants can reach 200% by the water supply system using the technical rotation irrigation area is divided into two groups. The first type, cropping season from October period to 2. The second class of the cropping season from November to 2.

scholarly journals Diversity of Crops and Land Use Pattern in Barisal Region

2018 ◽  
Vol 21 (2) ◽  
pp. 57-72 ◽  
Author(s):  
M Ibrahim ◽  
MAU Zaman ◽  
ABM Mostafizur ◽  
SM Shahidullah
Keyword(s):  
Diversity Index ◽  
Crop Diversity ◽  
Future Research ◽  
Cropping Pattern ◽  
Land Use Pattern ◽  
Cropping Intensity ◽  
Cropping Patterns ◽  
Maximum Value ◽  
Development Workers ◽  
Structured Questionnaire

Development workers, researchers and extensionists always need a comprehensive understanding and a reliable database on existing cropping patterns, cropping intensity and crop diversity of a particular area for the planning of future research and development. With this view, a survey-work was implemented over all the upazilas of Barisal region during 2016. A pre-tested semi-structured questionnaire was used as tool to document the existing cropping patterns, cropping intensity and crop diversity of the area. In the current investigation, 103 cropping patterns were identified. The highest number of cropping patterns 40 was found in Burhanuddin upazila of Bhola district and the lowest eight was in Betagi and Taltali of Barguna. The most dominant cropping pattern single T. Aman occupied 13.40% of net cropped area (NCA) of the region with its distribution over 33 upazilas out of 42. The second largest area, 10.44% of NCA, was covered by Boro−Fallow− T. Aman, which was spread out over 32 upazilas. The lowest crop diversity index (CDI) was recorded 0.221 in Agailjhara of Barisal district followed by 0.598 in Bhandaria of Pirojpur. The highest value of CDI was observed 0.972 in Charfasson followed by 0.968 in Tazumuddin of Bhola. The range of cropping intensity values was observed 107-249%. The maximum value was for Bhola sadar and minimum for Agailjhara of Barisal. The overall CDI of Barisal region was calculated 0.968 and the grand mean for cropping intensity at regional level was 204%.Bangladesh Rice j. 2017, 21(2): 57-72

scholarly journals Studi Optimasi Pola Tanam Daerah Irigasi Gong Gang Kecamatan Parang Kabupaten Magetan

2016 ◽  
Vol 14 (1) ◽  
pp. 51
Author(s):  
Ernawan Setyono ◽  
Safik Mucharom
Keyword(s):  
Linear Programming ◽  
Spatial Patterns ◽  
Food Production ◽  
Cropping Pattern ◽  
Water Requirements ◽  
Cropping Intensity ◽  
Cropping Patterns ◽  
Optimization Study ◽  
Planting Season

Along with the increasing population growth, the need for food also increased. To meet that need for optimization studies of the factors that influence spatial patterns of planting in order to increase the volume of food production. Determination of the cropping pattern that will be used after the first known dependable flow and water requirements. Through the design cropping pattern is expected cropping intensity can be enhanced and existing water sources can be used optimally. linear programming used in this optimization study using QM for Windows 4 software. The most optimal results from the optimization that has been done is an alternative was began on November  cropping patterns : rice-palawija-sugarcane season crops beginning 1st week of November, profits amounted to Rp 106.729.700.000 to the area that can be cultivated for the planting season I: Rice = 1990 ha, palawija = 307 ha sugarcane = 89 ha, planting season II: Rice = 1990 ha, palawija = 307 ha sugarcane = 89 ha, and planting season III:  Rice = 258,2753 ha Palawija = 2038,725 ha, sugarcane = 89 ha

scholarly journals Diversity of Cropping Systems in Chittagong Region

2018 ◽  
Vol 21 (2) ◽  
pp. 109-122
Author(s):  
SM Shahidullah ◽  
M Nasim ◽  
MK Quais ◽  
A Saha
Keyword(s):  
Diversity Index ◽  
Cropping Systems ◽  
Regional Level ◽  
Crop Diversity ◽  
Cropping Pattern ◽  
Cropping Intensity ◽  
Cropping Patterns ◽  
Area 19 ◽  
Maximum Value

The study was conducted over all 42 upazilas of Chittagong region during 2016 using pre-tested semistructured questionnaire with a view to document the existing cropping patterns, cropping intensity and crop diversity in the region. The most dominant cropping pattern Boro−Fallow−T. Aman occupied about 23% of net cropped area (NCA) of the region with its distribution over 38 upazilas out 42. The second largest area, 19% of NCA, was covered by single T. Aman, which was spread out over 32 upazilas. A total of 93 cropping patterns were identified in the whole region under the present investigation. The highest number of cropping patterns was 28 in Naokhali sadar and the lowest was 4 in Begumganj of the same district. The lowest crop diversity index (CDI) was observed 0.135 in Chatkhil followed by 0.269 in Begumganj. The highest value of CDI was observed in Banshkhali, Chittagong and Noakhali sadar (around 0.95). The range of cropping intensity values was recorded 103−283%. The maximum value was for Kamalnagar upazila of Lakshmipur district and minimum for Chatkhil upazila of Noakhali district. As a whole the CDI of Chittagong region was 0.952 and the average cropping intensity at the regional level was 191%.Bangladesh Rice j. 2017, 21(2): 109-122

scholarly journals Crops and Cropping Systems in Dinajpur Region

2018 ◽  
Vol 21 (2) ◽  
pp. 143-156
Author(s):  
BJ Shirazy ◽  
ABMJ Islam ◽  
MMR Dewan ◽  
SM Shahidullah
Keyword(s):  
Diversity Index ◽  
Cropping Systems ◽  
Crop Diversity ◽  
Cropping Pattern ◽  
Policy Makers ◽  
Cropping Intensity ◽  
Cropping Patterns ◽  
Agricultural Planning ◽  
Development Workers ◽  
Structured Questionnaire

The development of agricultural planning largely depends on the reliable and comprehensive statistics of the existing cropping patterns, cropping intensity and crop diversity of a particular area, which will provide a guideline to the policy makers, researchers, extensionists and development workers. A study was undertaken over all the upazilas of Dinajpur region during 2016 using pre-tested semi-structured questionnaire with a view to document of the existing cropping patterns, intensity and diversity for the region. The most important cropping pattern Boro-Fallow-T. Aman occupied about 41% of net cropped area (NCA) of the region with its distribution over all the upazilas. The second largest area, 9% of NCA, was covered by Wheat-Fallow-T. Aman, which was spread over 18 upazilas. A total of 112 cropping patterns were identified in the whole region. The highest number of cropping patterns was identified 30 in Boda upazila of Panchagarh district while the lowest was 11 in Kaharol upazila of Dinajpur district. The lowest crop diversity index (CDI) was reported 0.708 in Birampur followed by 0.753 in Ghoraghat of Dinajpur. The highest CDI was reported 0.955 in Ranisonkail followed by 0.952 in Baliadangi of Thakurgaon. The range of cropping intensity was recorded 206-249% whereas the maximum value was found for Khansama of Dinajpur and minimum for Boda of Panchagarh district. As a whole, CDI and cropping intensity for Dinajpur region were calculated 0.924 and 229% respectively, which indicates that the land use and crop diversification is not quite enough for the national demand.Bangladesh Rice j. 2017, 21(2): 143-156

scholarly journals Feasibility of Introducing Rice Based Four Crops Pattern in Rangpur Region of Bangladesh

2017 ◽  
Vol 15 (1) ◽  
pp. 116-126
Author(s):  
M Sh. Islam ◽  
Zakia Yesmin ◽  
MA Badshah ◽  
MA Ali
Keyword(s):  
General Practice ◽  
Grain Yield ◽  
Maize Yield ◽  
Potato Yield ◽  
Cropping Pattern ◽  
Cropping Intensity ◽  
Cropping Patterns ◽  
Net Return ◽  
Equivalent Yield ◽  
Crop System

An experiment was conducted at Bangladesh Rice Research Institute (BRRI) Farm at Rangpur during July 2014 - June 2016 to introduce a 4-crops pattern with the aim of increasing cropping intensity, productivity, income and soil fertility. The experimental design was RCB with 3 replications. Four cropping patterns were tested which were: CP1 = T. Aman (BRRI dhan62)-Potato (Cardinal)-Mungbean (BARI Mung-6)-T. Aus (BRRI dhan48), CP2 = T. Aman (BRRI dhan62)-Mustard (BARI Sorisha-14)-Mungbean (BARI Mung-6)-T. Aus (BRRI dhan48), Farmers’ improved practice (FIP) = T. Aman (BR11)-Potato (Cardinal)-Maize (NK 40) and Farmers’ general practice (FP) = T. Aman (BR11)-Boro (BRRI dhan28)- Fallow.  In T. Aman 2014, BRRI dhan62 produced  3.87 and 3.85 t ha-1 grain yields under CP1 & CP2 (4 crops systems), respectively; BR11 gave grain yield of 4.62 and 4.36 t ha-1 in FIP and FP (3 and 2 crop system), respectively. In T. Aman 2015, BRRI dhan62 produced grain yield of 4.23 and 4.19 t ha-1 in CP1 and CP2, and BR11 gave grain yield of 5.95 and 5.92 t ha-1 in FIP and FP, respectively. After T. Aman, potato yield was 24.66 t ha-1 in CP1 and 24.17 t ha-1 in FIP during 2014-15. In CP2, 2nd crop mustard yield was 1.16 t ha-1 and3rd crop mungbean yield was only 0.98 t ha-1.In CP1, 3rd crop mungbean yield was only 0.83 t ha-1. After potato in FIP, maize yield was 8.38 t ha-1. After T. Aman (BR11) in FP, grain yield of BRRI dhan28 was 5.42 t ha-1. The yield of BRRI dhan48 in CP1 and CP2 (as 4th crop) was 4.5 t ha-1. Similar results of different crops were obtained in 2015-16. The rice equivalent yield (REY) was found to be 30.05 & 35.95 t ha-1yr-1 in CP1 during 1st and 2nd yearfollowed by FIP (23.92 & 29.82 t ha-1yr-1, respectively). The REY was higher in 2nd year compared to 1st year. In 2014-15 the highest net return of Tk.2,42,560 ha-1 was observed in CP1 followed by FIP(Tk.1,58,380 ha-1); in 2015-16, the highest net return was in CP1 (Tk.2,16,960 ha-1) followed by FIP(Tk.1,24,620 ha-1). Potato based cropping pattern was thus, the most suitable and profitable pattern in this area. T. Aman (BRRI dhan62)-Potato (Cardinal)-Mungbean (BARI Mung-6)-T. Aus (BRRI dhan48) may, therefore, be the most suitable and profitable cropping pattern in medium high lands of Rangpur region. The Agriculturists 2017; 15(1) 116-126

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