Using Crop Diversity and Conservation Cropping to Develop More Sustainable Arable Cropping Systems

2019 ◽  
pp. 93-108 ◽  
Author(s):  
John Hendrickson ◽  
Juan Cruz Colazo
Keyword(s):  
Cropping Systems ◽  
Crop Diversity

Soil quality indicators as influenced by 5-year diversified and monoculture cropping systems

2020 ◽  
pp. 1-12
Author(s):  
H. Feng ◽  
G. O. Abagandura ◽  
S. Senturklu ◽  
D. G. Landblom ◽  
L. Lai ◽  
...  
Keyword(s):  
Enzyme Activity ◽  
Soil Quality ◽  
Quality Indicators ◽  
Soil Ph ◽  
Cropping Systems ◽  
Hot Water ◽  
Crop Diversity ◽  
Quality Data ◽  
Soil Quality Indicators ◽  
Water Extractable

Abstract Increasing crop diversity has been highly recommended because of its environmental and economic benefits. However, the impacts of crop diversity on soil properties are not well documented. Thus, the present study was conducted to assess the impacts of crop diversity on selected soil quality indicators. The cropping systems investigated here included wheat (Triticum aestivum L.) grown continuously for 5 years as mono-cropping (MC), and a 5-year cropping sequence [(wheat–cover crop (CC)–corn (Zea mays L.)–pea (Pisum sativum L.) and barley (Hordeum vulgare L.)–sunflower (Helianthus annuus L.)]. Each crop was present every year. This study was conducted in the northern Great Plains of North America, and soil quality data were collected for 2016 and 2017. Selected soil quality indicators that include: soil pH, organic carbon (SOC), cold water-extractable C (CWC) and N (CWN), hot water-extractable C (HWC) and N (HWN), microbial biomass carbon (MBC), bulk density (BD), water retention (SWR), wet soil aggregate stability (WAS), and urease and β-glucoside enzyme activity were measured after the completion of 5-year rotation cycle and the following year. Crop diversity did not affect soil pH, CWC, CWN, HWC, HWN and SWR. Cropping systems that contained CC increased SOC at shallow depths compared to the systems that did not have CC. Crop diversity increased WAS, MBC, and urease and β-glucoside enzyme activity compared with the MC. Comparison of electrical conductivity (EC) measured in this study to the baseline values at the research site prior to the establishment of treatments revealed that crop rotation decreased EC over time. Results indicate that crop diversity can improve soil quality, thus promoting sustainable agriculture.

scholarly journals Crop Diversity Effects on Near-Surface Soil Condition under Dryland Agriculture

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Mark A. Liebig ◽  
David W. Archer ◽  
Don L. Tanaka
Keyword(s):  
Agricultural Land ◽  
Cropping Systems ◽  
Cropping System ◽  
Soil Condition ◽  
Crop Diversity ◽  
Northern Great Plains ◽  
Total N ◽  
Near Surface ◽  
Organic C ◽  
South Central

Unprecedented changes in agricultural land use throughout the northern Great Plains of North America have highlighted the need to better understand the role of crop diversity to affect ecosystem services derived from soil. This study sought to determine the effect of four no-till cropping systems differing in rotation length and crop diversity on near-surface (0 to 10 cm) soil properties. Cropping system treatments included small grain-fallow (SG-F) and three continuously cropped rotations (3 yr, 5 yr, and Dynamic) located in south-central North Dakota, USA. Soil pH was lower in the 3 yr rotation (5.17) compared to the Dynamic (5.51) and SG-F (5.55) rotations(P≤0.05). Among cropping system treatments, 5 yr and Dynamic rotations possessed significantly greater soil organic C (SOC) and total N (mean = 26.3 Mg C ha−1, 2.5 Mg N ha−1) compared to the 3 yr (22.7 Mg C ha−1, 2.2 Mg N ha−1) and SG-F (19.9 Mg C ha−1, 2.0 Mg N ha−1) rotations(P≤0.05). Comparison of SOC measured in this study to baseline values at the research site prior to the establishment of treatments revealed only the 5 yr and Dynamic rotations increased SOC over time. The results of this study suggest that a diverse portfolio of crops is necessary to minimize soil acidification and increase SOC.

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 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

Effects of input management and crop diversity on non-renewable energy use efficiency of cropping systems in the Canadian Prairie

2011 ◽  
Vol 34 (2) ◽  
pp. 113-123 ◽  
Author(s):  
R.P. Zentner ◽  
P. Basnyat ◽  
S.A. Brandt ◽  
A.G. Thomas ◽  
D. Ulrich ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Energy Use ◽  
Cropping Systems ◽  
Crop Diversity ◽  
Canadian Prairie ◽  
Energy Use Efficiency ◽  
Use Efficiency

scholarly journals Crop Diversity and Cropping Patterns of Comilla Region

2018 ◽  
Vol 21 (2) ◽  
pp. 91-107
Author(s):  
A Saha ◽  
M Nasim ◽  
M Harunur Rashid ◽  
SM Shahidullah
Keyword(s):  
Agricultural Development ◽  
Diversity Index ◽  
Cropping Systems ◽  
Cropping System ◽  
Crop Diversity ◽  
Cropping Pattern ◽  
Land Use Pattern ◽  
Cropping Intensity ◽  
Cropping Patterns ◽  
Development Workers

Comilla region is highly diverse in respect to topography, agro-ecology, land-use pattern and cropping systems. Planning of agricultural development 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 our policy makers, researchers, extensionists and development workers. The study was conducted over all 33 upazilas of Comilla region during 2016 using pre-tested semistructured questionnaire with a view to document the existing cropping patterns, cropping intensity and crop diversity. From the present study it was observed that 73.56% of net cropped area (NCA) is covered by exclusive rice cropping systems whereas deep water rice cropping system occupied 16.09% of the regional NCA. The most dominant cropping pattern single Boro alone occupied 26.18% of NCA with its distribution over 30 out of 33 upazilas. The second largest area, 19.93% of NCA, was covered by Boro−Fallow−T. Aman cropping pattern, which was spread over 25 upazilas. One hundred and forty-six cropping patterns were identified in the whole region under this investigation. The highest, 36 cropping patterns were identified in Debidwar upazila of Comilla district and the lowest, seven were in Akhura and Ashuganj of B.Baria and Comilla Adarsha upazila. The lowest crop diversity index (CDI) was reported 0.481 in Comilla Adrasha upazila followed by 0.637 in Hajiganj of Chandpur. The highest value of CDI was observed 0.964 in Haimchar of Chandpur followed by 0.956 in Muradnagar of Comilla. The range of cropping intensity (CI) value was recorded 126-292%. The maximum value was for Barura of Comilla and minimum for Hajiganj of Chandpur district. The grand mean of CDI values for Comilla region was calculated 0.935 and the average cropping intensity at regional level was 192%.Bangladesh Rice j. 2017, 21(2): 91-107

scholarly journals Cropping Systems and Land Use in Sylhet Region

2018 ◽  
Vol 21 (2) ◽  
pp. 273-288
Author(s):  
MA Muttaleb ◽  
SM Shahidullah ◽  
M Nasim ◽  
A Saha
Keyword(s):  
Cropping Systems ◽  
Crop Diversity ◽  
Cropping Pattern ◽  
Potential Region ◽  
Sustainable Food ◽  
Cropping Intensity ◽  
Cropping Patterns ◽  
Crop Varieties ◽  
Development Agents ◽  
Sylhet Region

Towards the sustainable food security for a particular area, the policymakers, researchers, extension and development agents need the detailed information of cropping patterns, cropping intensity and crop diversity. Sylhet, a potential region of enormous potentiality of growing crops across the haor area lying below the northeastern Himalyan foothills experience the highest rainfall in the world to make the basin prone to flashflood. That is why, a study was conducted in the region considering all the upazillas during 2016 using the pretested semi-structured questionnaire and validated by appropriate informants with a view to documenting the existing cropping patterns, cropping intensity and crop diversity in the region. As per the study the region is dominated by the rice based cropping pattern. The non-rice based cropping pattern are either few or the area under those cropping patterns are not enough to satisfy the non-rice food requirement of people of the region. Beside these, the cropping patterns and crop diversity appeared as below the expected level. Therefore, much thrust is needed to initiate research and development activities to diversify the single or double-cropped cropping pattern with the introduction of appropriate crops and crop varieties even other non-crop agricultural commodities.Bangladesh Rice j. 2017, 21(2): 273-288

scholarly journals Diversity of Crops and Cropping Systems in Jessore Region

2018 ◽  
Vol 21 (2) ◽  
pp. 185-202
Author(s):  
MMR Dewan ◽  
M Harun Ar Rashid ◽  
M Nasim ◽  
SM Shahidullah
Keyword(s):  
Diversity Index ◽  
Cropping Systems ◽  
Crop Diversity ◽  
Future Research ◽  
Cropping Pattern ◽  
Policy Makers ◽  
Cropping Intensity ◽  
Cropping Patterns ◽  
Development Workers ◽  
Structured Questionnaire

Thorough understanding and a reliable database on existing cropping patterns, cropping intensity and crop diversity of a particular area are needed for guiding policy makers, researchers, extensionists and development workers for the planning of future research and development. During 2016 a study was accomplished over all 34 upazilas of Jessore region using pre-tested semi-structured 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 32.28% of net cropped area (NCA) of the region with its distribution in all upazilas. The second largest area, 5.29% of NCA, was covered by single Boro, which was spread over 24 upazilas. A total of 176 cropping patterns were identified in the whole region under the current investigation. The highest number of cropping patterns was identified 58 in Kushtia sadar upazila and the lowest was 11 in Damurhuda upazila of Chuadanga district. The lowest crop diversity index (CDI) was reported 0.852 in Narail sadar upazila followed by 0.863 in Jessore sadar upazila. The highest value of CDI was observed 0.981 in Daulatpur followed by 0.978 in Bheramara upazila of Kushtia district. The range of cropping intensity values was recorded 175−286%. The maximum value was for Sreepur of Magura district and minimum for Abhaynagar of Jessore district. As a whole the CDI of Jessore region was calculated 0.955 and the average cropping intensity at regional level was 229%.Bangladesh Rice j. 2017, 21(2): 185-202

Crop diversity effects on productivity and economics: a Northern Great Plains case study

2018 ◽  
Vol 35 (1) ◽  
pp. 69-76 ◽  
Author(s):  
David W. Archer ◽  
Mark A. Liebig ◽  
Donald L. Tanaka ◽  
Krishna P. Pokharel
Keyword(s):  
Great Plains ◽  
Cropping Systems ◽  
Cropping System ◽  
Crop Productivity ◽  
Crop Diversity ◽  
Production Costs ◽  
The Other ◽  
Northern Great Plains ◽  
System Effect ◽  
Net Returns

AbstractIncreasing crop diversity has been proposed to increase the sustainability of cropping systems. If producers are to adopt these systems, they should also be economically viable. In this study conducted near Mandan, North Dakota, four no-till cropping systems with varying levels of crop diversity were evaluated over a 12-yr period to quantify system effect on crop productivity, input use, production costs, and economic risks and returns. Cropping system treatments included a small grain–fallow rotation (SG–Fallow) and a continuous spring wheat (Triticum aestivumL.) rotation (Cont SW) as baseline low-diversity rotations, a small grain–winter wheat (T. aestivumL.)–sunflower (Helianthus annuusL.) rotation (SG–WW–Sun), a 5-yr rotation (Five Year) and a dynamic rotation (Dynamic). The SG–Fallow rotation was significantly less productive and less profitable on average than the other rotations, as measured by gross returns and net returns, respectively. However, SG–Fallow also used significantly less inputs than the other rotations. Production costs for the Cont SW and SG–WW–Sun rotations showed a significant increasing trend over time, while production costs for the Five Year rotation showed a significantly lower and slight decreasing trend over the period, with cost trends for the SG–Fallow and Dynamic rotations intermediate to these. Net returns tended to increase and relative economic risk tended to decrease as crop diversity increased from SG–Fallow and Cont SW to SG–WW–Sun, Five Year and the Dynamic system. Results from this study suggest that more diverse rotations can maintain or increase crop productivity and enhance economic viability.

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