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1 to 10 of 108 Results
Jul 18, 2012 - Social Science
Shiferaw Bekele; Silim, Said; Muricho, Geoffrey, 2016, "Preliminary Impact of long duration improved Pigeonpea in Babati district - Tanzania", https://doi.org/10.21421/D2/7AFXYP, ICRISAT Dataverse, V1
The study is aimed at assessing the economic impacts of adoption of improved pigeon pea cultivar in some villages belonging to Babati , a major Pigeonpea producing district of northern Tanzania. A stratified sampling approach has been used for the purpose of the study. The questi...
Jul 23, 2012 - Social Science
ICRISAT, 2016, "Pigeonpea sub-sector survey in Kenya - Trader survey", https://doi.org/10.21421/D2/HLBG3C, ICRISAT Dataverse, V1
Pigeonpea sub-sector survey in Kenya - Trader survey
Jul 26, 2012 - Social Science
Bantilan MCS, 2016, "Adoption survey on soil fertility management practices in SAT Agriculture", https://doi.org/10.21421/D2/OPISLO, ICRISAT Dataverse, V1
Adoption survey on soil fertility management practices in SAT Agriculture
Aug 23, 2012 - Social Science
ICRISAT; EIAR, 2016, "TL II & IFAD Baseline Surveys - Kenya", https://doi.org/10.21421/D2/QNBRQK, ICRISAT Dataverse, V1
Baseline Surveys - Kenya funded by TLII and IFAD
Sep 24, 2012 - Social Science
ICRISAT, 2016, "TL II and IFAD Baseline Surveys - Malawi", https://doi.org/10.21421/D2/LF9CVN, ICRISAT Dataverse, V1
Using a combination of stratified and purposive sampling was used to select four districts namely Chiradzulu, Thyolo, Balaka, Mchinji. From each of these districts 4 largest Pigeonpea producing sections were purposively selected followed by a random selection of 3 villages from e...
Jan 9, 2013 - Social Science
Singh Piara; Nedumaran S; Bantilan MCS, 2016, "Climate change impacts and potential benefits of drought and heat tolerance in Chickpea in South Asia and Eastern and Southern Africa", https://doi.org/10.21421/D2/8VIXJH, ICRISAT Dataverse, V1
This data set was collected as part of Global Futures Project to assess climate change impacts and potential benefits of drought and heat tolerance in Chickpea in South Asia and Eastern and Southern Africa using DSSAT crop modeling suite. This minimum data set contain experimenta...
Apr 2, 2013 - Social Science
Singh Piara; Nedumaran S; Bonny, Ntare, 2016, "Potential Benefits of drought and heat tolerance in Groundnut for adaptation to climate change in India and WestAfrica", https://doi.org/10.21421/D2/DHTNSR, ICRISAT Dataverse, V1
The dataset was collected as part of Global Futures Project to estimate the potential benefits of drought and heat tolerant traits Groundnut using DSSAT crop model. This data consist of breeding yield trail data collected in Asia and West and Central Africa (WCA) experimental sit...
Apr 3, 2013 - Social Science
Nedumaran S; Abhinaya, P; P Parthasarathy Rao; Bantilan MCS, 2016, "Grain Legumes Production, Consumption and Trade Trends in Developing Countries-An Assessment & Synthesis", https://doi.org/10.21421/D2/BTUT4Y, ICRISAT Dataverse, V1
The dataset contains time series data on Area, Production and Yield of nine legumes crops namely dry bean, Broad bean (Fababean) , Cowpea, Pigeonpea, Chickpea, Lentil , Groundnut and Soya bean. It also contains data on trade(import & export) in tonnes, producer prices in US dolla...
Jul 23, 2013 - Social Science
Asfaw, Solomon; Shiferaw Bekele, 2016, "TL II & IFAD Baseline Surveys - Tanzania", https://doi.org/10.21421/D2/9LVIZS, ICRISAT Dataverse, V1
Random sampling was done in four districts of Northern Tanzania namely Kondoa, Karatu, Babati and Arameru. From each these districts three major Pigeonpea growing divisions were selected and two wards were surveyed from each of these divisions. Twenty five farmers were then rando...
Sep 4, 2013 - Social Science
Basavaraj. G, 2016, "HOPE- Sorghum Grain Marketing Report", https://doi.org/10.21421/D2/A42ZPB, ICRISAT Dataverse, V1
The report has done a value chain mapping of post rainy season Sorghum and measure the transactions costs involved, evaluated and identified marketing strategies for reducing these, analyzed the price spread, measured marketing efficiency using the Acharya formula, determined the...
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