CIMMYT Ethiopia
Odisha Rice Crop Cut Data 2013 - 2016
Rice crop cuts conducted in Odisha (Mayurbhanj, Balasore, Keonjhar, Bhadrak, Khorda, Puri districts)
1 resource
Published 23 Oct 2017
Loading...
Agricultural data for Ethiopia, gathered from research institutes and government sources into one searchable catalogue.
1–10 of 17 datasets
CIMMYT Ethiopia
Rice crop cuts conducted in Odisha (Mayurbhanj, Balasore, Keonjhar, Bhadrak, Khorda, Puri districts)
CIMMYT Ethiopia
The major objectives of this rice crop cuts and survey were to: (i) identify major rice yield determinants in western terai districts of Nepal and (ii) to identify major determinants that describe the variability in rice yield across farms thereby linking with farm characteristics and socio-economic gradients. This study uses Remote Sensing (RS) data particularly the NDVI (Normalized Difference Vegetative Index) value extracted from LandSat satellite images in each of the six districts (Kanchanpur, Kailali, Bardyia, Banke, K apilbastu and Rupendhai). Since the resolution of LandSat satellite was better than MODIS; we used LandSat derived NDVI values to capture the variability in standing green biomass (a proxy for yield) so that sample selected will represent this variability in NDVI values. In each of the districts we saw a normal distribution of NDVI and samples were selected randomly by stratifying the NDVI values into four quartiles of bell curve, so that selected sample will represent proportionally the bell curve quartiles. The study contains several optional modules questions and mandatory modules. The mandatory modules give the broader insights on input uses across farms while the optional module provides better insight on each input uses for example; fertilizer use details, irrigation dynamics, weed management and socio-economics gradients particularly based on income and expenditure of households. The optional module is accompanied by the crop cuts data which was done in three quadrants of each plot wit h 2*2=4 meter square area. The sample size for this survey is 1052 households and the inputs use were asked for largest rice grown plots as farms may have multiple plots and inputs use might be different in different plots. Out of the total samples of 1052; a set of (~12%; 126 samples) households participated in optional modules to get the detail data on irrigation dynamics, weed management and socio-economics parameters.
CIMMYT Ethiopia
Under CSISA Phase II, Nutrient Omission Plot Technique (NOPT) trials were conducted in eight districts of Bihar, ten districts of Uttar Pradesh and ten districts of Odisha. Partner institutions include Bihar Agriculture University (BAU), Banaras Hindu University (BHU), Orissa University of Agriculture and Technology (OUAT), Central Rice Research Institute (CRRI), Odisha.
CIMMYT Ethiopia
The Cereal Systems Initiative for South Asia (CSISA) was launched in 2009 with support from the Bill and Melinda Gates Foundation (BMGF) and the United States Agency for International Development (USAID) . CSISA's objective is to develop and deploy more efficient, productive and sustainable technologies for the diverse rice-wheat production systems of the Indo-Gangetic Plains (IGP) that ultimately improve food supply and improve the livelihoods of the poor in the region. The CSISA Baseline Household Survey was conducted in late 2010 and early 2011 across eight of the hub domains in which CSISA was operating during its initial phase. The household survey was designed to inform CSISA management as well as to establish a priori conditions (farming practices, farmer livelihoods, etc.) against which the social, economic and livelihood impacts of CSISA will be evaluated. Pursuant to these objectives, a structured questionnaire was developed in a joint effort of socio-economists from different centers of the CGIAR, as well as agronomists and hub managers. In all, the baseline household survey collected data on 2,567 households across the CSISA hub domains of Haryana , Punjab , eastern Uttar Pradesh , Bihar and Tamil Nadu in India; Dinajpur and Gazipur in Bangladesh; and the Terai region of central Nepal. Analysis of the baseline data finds that: The CSISA coverage area is highly diverse in terms of climatological and agro-ecological conditions, cropping patterns, livestock management, land holdings, production practices, yie lds and other variables. This reinforces the initiative’s site- and context-specific approach to effecting change, but complicates the evaluation of impact across the entire coverage area. CSISA targeting is generally reflective of the surrounding population in the hub domain. However, evidence of more explicit targeting (e.g., of women-headed households or other vulnerable groups) was found only in the Gazipur hub. Whereas findings suggest that labor-saving technological change may be a priority in the northwestern hubs (Punjab, Haryana), productivity-enhancing technological change that intensifies production on small landholdings may be a priority for most othe r hubs. Poverty and inequality measures indicate significant levels of vulnerability in the Nepal Terai, Bangladesh, eastern UP and Bihar. This may indicate a need for some re-prioritization of CSISA work in favor of Nepal, provided that CSISA’s technologies and approaches are appropriate to its needs. The role of women in agriculture varies widely across the CSISA hub domains, and is determined largely by social status and social constructs. In general, women provide vital inp uts into agricultural production, both in terms of labor as well as decision-making. The complexities of these issues suggest the need for more rigorous analysis regarding gender gaps in access to technical knowledge and information, inequalities in participation in key decision-making processes, as well as the impacts of the RCTs that are being promoted under CSISA. This may necessitate the collection of gender-disaggregated data for constraints analysis, technology prioritization among different household types and careful consideration in the design, implementation and evaluation of impact assessments. Familiarity with RCTs is most limited in Bihar and other eastern hub domains, suggesting the obvious potential for expanding CSISA activities in these areas. That said, sources of information on RCTs are quite domain-specific and vary significantly between CSISA, input retailers and friends/neighbors. There is evidence from the baseline survey to suggest that while non-adoption is largely driven by insufficient information about several RCTs, disadoption driven by poor yield p erformance and other factors is a non-trivial phenomenon in the CSISA domains.
CIMMYT Ethiopia
Direct Seeded Rice (DSR) using seed-cum-fertilizer drill is an emerging rice establishment technique in India. How the two versions of DSR (zero-till & dust mulch) are comparable with the most common conventionally transplanted rice is less known. To fill the knowledge gap, CSISA in collaboration with Krishi Vigyan Kendra (KVK) conducted on-farm agronomic trial in eastern India covering different agro-climatic zones. The trial was conducted with 10 KVKs continuously for five years starting from 2017. Across the years and geographies, it was done on 1,315 farmers' fields. The dataset formed the foundational evidence to inform initial policy handles and invites researchers to plan further research.
CIMMYT Ethiopia
This database integrates farmer field surveys with secondary environmental data for 45,643 farmer fields that cultivated rice between 2016 and 2021. This dataset integrates original survey datasets that have, or will be, published on the CIMMYT Dataverse. Collectively, the dataset covers six regions across South Asia: Andhra Pradesh (n=1,744), Bihar and eastern Uttar Pradesh (n=9,693), Odisha (n=1,947), Punjab and Haryana (n=5,833), Bangladesh’s floodplains (n=20,329), and the Terai region of Nepal (n=6,097). The northwestern Indian states of Punjab and Haryana are grouped together as they are commonly considered part of a distinct rice-producing area known as the ‘Trans-Gangetic Plains’. Similarly, Bihar and the neighbouring districts of eastern Uttar Pradesh—Ballia, Chandauli, Deoria, Ghazipur, Gorakhpur, Kushinagar, Maharajganj, Mau, and Siddharthnagar—are grouped together as a distinct rice production environment commonly known as the ‘Middle Indo-Gangetic Plains’. It should also be noted that the surveyed area of Bangladesh’s floodplains primarily includes the Tista Meander Floodplain and Ganges River Floodplains and may not represent other floodplain areas in Bangladesh.
CIMMYT Ethiopia
The necessity for differentiated responses arises due to the significant surge in nitrogen fertilizer prices, posing a serious threat to food security. To sustain the production of staple cereals in agricultural systems with varying levels of fertilization, it becomes imperative to explore integrated management strategies encompassing both organic and inorganic nitrogen sources in high- and low-intensity cereal production. According to estimates, adopting such an integrated approach could yield substantial reductions in nitrogen fertilizer usage: by 11% in India, 49% in Ethiopia, and 44% in Malawi. This strategy involves utilizing more cost-effective fertilizers with a high nitrogen content, such as urea, in conjunction with compost and legumes, particularly aimed at optimizing nitrogen utilization in deficient systems. Furthermore, embracing more efficient and targeted nitrogen fertilizer application would prove beneficial for systems with nitrogen surpluses. Geospatially diverse fertilization strategies should prioritize supplying nitrogen-rich fertilizers to low-yielding and nitrogen-deficient regions, while ensuring balanced fertilization of nitrogen, phosphorus, potassium, and micronutrients in high-yielding systems.
CIMMYT Ethiopia
The objective of the Landscape Diagnostic Survey (LDS) for rice is to bridge the existing data-gap around current production practices of rice, and also to help in evidence-based planning. The LDS is designed in a way that data is collected from randomly selected farmers spread uniformly within the Feed the Future (FtF) districs. Data has been collected from farmers largest rice plot for 2019, 2020 main (kharif) season . Survey questionnaire captures all production practices applied by farmers from land preparation to harvesting, including detailed sections on fertilizer use, weed control and irrigation application. Data is captured through electronically enabled Open Data Kit (ODK) tool on mobile phone or tablet. The sample size for this survey in 2019 is 2917 households, and 2122 households for 2020. The inputs use were asked for largest rice grown plots as farms may have multiple plots and inputs use might be different in different plots.
CIMMYT Ethiopia
Agriculture is the most severely affected sector due to drought-like situations. Bihar is one of the most vulnerable states to drought due to its geographical location, and its high dependency on rainfed agriculture. The first survey, in Kharif season 2022 covered 518 farmers from 11 districts, 39 blocks and 79 villages of Bihar in October 2022. The second survey was the phone survey which was conducted to collect the data for the Rabi season 2022. We interviewed 339 farmers out of the 518 farmers in June 2023. To validate the first phone survey, we interviewed 229 farmers out of the 518 farmers. These drought impact surveys were designed in a way that data are collected from randomly selected farmers spread uniformly within a KVK domain/district. The survey questionnaire captures all production practices applied by farmers from land preparation to harvesting, including detailed sections on crop establishment, sources and methods of irrigation, fertilizer use, weed control and cost of irrigation. Data is captured through the electronically enabled Open Data Kit (ODK) tool on mobile phone or tablet. This contributes as a useful database which can be used by researchers, and policymakers for developing Bihar’s drought management strategy to protect the farmers from future drought-like situations.
CIMMYT Ethiopia
Two types of experiments conducted in multi-location on-farm trials to evaluate the mechanized crop establishment methods (Drill-Direct Seeded Rice and Mechanical Transplanted Rice) alternative to traditional crop establishment methods (Manual transplanted rice and broadcasting followed by beushening) in three districts of Odisha over three years (2017 to 2019). Two types of experiments were also conducted to evaluated the performance of short duration pulses or oilseeds in the rice-fallow areas for increasing the cropping intensity and system productivity. The yield data were collected manually from different treatments under each experiment over three years. We also combined multi-temporal Earth Observation (EO) data from Landsat-8 Operational Land Imager (OLI) and Sentinel-1 satellite sensors from 2018 to 2021 to identify rice-fallow areas and suitable rice-fallow areas for cultivation of short duration pulses and oilseeds.