Hairy vetch role to mitigate crop yield gap in different yield environments at field level

Estimating profitability and yield gap between research station and farm level of Binamoog-8 was conducted in five major Binamoog-8 growing areas of Bangladesh, namely Ishwardi, Magura, Natore, Jessore and Meherpur. The average cost of production in farm level of Binamoog-8 is Tk. 47373.55ha-1 and higher in Ishwardi (Tk. 53454.92 ha-1) followed by Meherpur, Magura, Natore and Jessore of Tk. 45160.28, Tk. 44300.14, Tk. 45232.95 and Tk. 48719.47 per hectare, respectively .The major shares of total cost were human labour, power tiller and irrigation. The net returns were Tk. 41160, Tk. 42902.30, Tk. 53603.18, Tk. 47494.60 and Tk. 40437.16 per hectare followed in Ishwardi, Meherpur, Magura, Natore and Jessore, respectively. The highest net return (Tk. 53603.18 ha-1) comes from Magura district for Binamoog-8.The undiscounted average benefit cost ratio over full cost basis were 1.77, 1.95, 2.21, 2.05 and 1.83 for Binamoog-8 in field level for Ishwardi, Meherpur, Magura, Natore and Jessore, respectively. The average yield gap of Binamoog-8 in farm level and research station was 129.05 kg per hectare. The yield gap between research station and farm level were 102.97 kg, 185.50 kg, 45.85 kg, 128.50 kg and 182.45 kg per hectare for Binamoog-8 in Ishwardi, Meherpur, Magura, Natore and Jessore, respectively. The highest yield gap between research station and field level was in Meherpur (185.50 kg per hectare) and lowest in Magura (45.85 kg per hectare). Farmers were facing various constraints in Binamoog-8 cultivation. Different strategies, such as lack of quality seed and fertilizer in appropriate time, lack of credit facilities, rainfall during germination period, insect infestation and pathogen infection, pod maturity in different times have been discussed as strategies to minimize yield gaps.Asian J. Med. Biol. Res. December 2016, 2(4): 685-688

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Food security: Close crop yield gap

Nature ◽

10.1038/480039e ◽

2011 ◽

Vol 480 (7375) ◽

pp. 39-39 ◽

Cited By ~ 10

Author(s):

Robert Finger

Keyword(s):

Food Security ◽

Crop Yield ◽

Yield Gap

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How good is good enough? Data requirements for reliable crop yield simulations and yield-gap analysis

Field Crops Research ◽

10.1016/j.fcr.2015.03.004 ◽

2015 ◽

Vol 177 ◽

pp. 49-63 ◽

Cited By ~ 133

Author(s):

Patricio Grassini ◽

Lenny G.J. van Bussel ◽

Justin Van Wart ◽

Joost Wolf ◽

Lieven Claessens ◽

...

Keyword(s):

Crop Yield ◽

Gap Analysis ◽

Yield Gap ◽

Data Requirements ◽

Yield Gap Analysis

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Monitoring and Analyzing Yield Gap in Africa through Soil Attribute Best Management Using Remote Sensing Approaches: A Review

Remote Sensing ◽

10.3390/rs13224602 ◽

2021 ◽

Vol 13 (22) ◽

pp. 4602

Author(s):

Keltoum Khechba ◽

Ahmed Laamrani ◽

Driss Dhiba ◽

Khalil Misbah ◽

Abdelghani Chehbouni

Keyword(s):

Remote Sensing ◽

Soil Properties ◽

Crop Yield ◽

Gap Analysis ◽

Smallholder Farmers ◽

Current Status ◽

African Countries ◽

Yield Gap ◽

Potential Yield ◽

Yield Gap Analysis

Africa has the largest population growth rate in the world and an agricultural system characterized by the predominance of smallholder farmers. Improving food security in Africa will require a good understanding of farming systems yields as well as reducing yield gaps (i.e., the difference between potential yield and actual farmer yield). To this end, crop yield gap practices in African countries need to be understood to fill this gap while decreasing the environmental impacts of agricultural systems. For instance, the variability of yields has been demonstrated to be strongly controlled by soil fertilizer use, irrigation management, soil attribute, and the climate. Consequently, the quantitative assessment and mapping information of soil attributes such as nitrogen (N), phosphorus (P), potassium (K), soil organic carbon (SOC), moisture content (MC), and soil texture (i.e., clay, sand and silt contents) on the ground are essential to potentially reducing the yield gap. However, to assess, measure, and monitor these soil yield-related parameters in the field, there is a need for rapid, accurate, and inexpensive methods. Recent advances in remote sensing technologies and high computational performances offer a unique opportunity to implement cost-effective spatiotemporal methods for estimating crop yield with important levels of scalability. However, researchers and scientists in Africa are not taking advantage of the opportunity of increasingly available geospatial remote sensing technologies and data for yield studies. The objectives of this report are to (i) conduct a review of scientific literature on the current status of African yield gap analysis research and their variation in regard to soil properties management by using remote sensing techniques; (ii) review and describe optimal yield practices in Africa; and (iii) identify gaps and limitations to higher yields in African smallholder farms and propose possible improvements. Our literature reviewed 80 publications and covered a period of 22 years (1998-2020) over many selected African countries with a potential yield improvement. Our results found that (i) the number of agriculture yield-focused remote sensing studies has gradually increased, with the largest proportion of studies published during the last 15 years; (ii) most studies were conducted exclusively using multispectral Landsat and Sentinel sensors; and (iii) over the past decade, hyperspectral imagery has contributed to a better understanding of yield gap analysis compared to multispectral imagery; (iv) soil nutrients (i.e., NPK) are not the main factor influencing the studied crop productivity in Africa, whereas clay, SOC, and soil pH were the most examined soil properties in prior papers.

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Closing Yield Gaps: Consequences for the Global Food Supply, Environmental Quality & Food Security

Daedalus ◽

10.1162/daed_a_00353 ◽

2015 ◽

Vol 144 (4) ◽

pp. 45-56 ◽

Cited By ~ 6

Author(s):

Nathaniel D. Mueller ◽

Seth Binder

Keyword(s):

Food Security ◽

Crop Yield ◽

Food Supply ◽

Crop Production ◽

Crop Yields ◽

Agricultural Landscapes ◽

Environmental Benefits ◽

Potential Contribution ◽

Yield Gap ◽

Yield Gaps

The social, economic, and environmental costs of feeding a burgeoning and increasingly affluent human population will depend, in part, on how we increase crop production on under-yielding agricultural landscapes, and by how much. Such areas have a “yield gap” between the crop yields they achieve and the crop yields that could be achieved under more intensive management. Crop yield gaps have received increased attention in recent years due to concerns over land scarcity, stagnating crop yield trends in some important agricultural areas, and large projected increases in food demand. Recent analyses of global data sets and results from field trials have improved our understanding of where yield gaps exist and their potential contribution to increasing the food supply. Achieving yield gap closure is a complex task: while agronomic approaches to closing yield gaps are generally well-known, a variety of social, political, and economic factors allow them to persist. The degree to which closing yield gaps will lead to greater food security and environmental benefits remains unclear, and will be strongly influenced by the particular strategies adopted.

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