Skip to main content
Share Dataverse

Share this dataverse on your favorite social media networks.

Metrics
52,486 Downloads
Featured Dataverses

In order to use this feature you must have at least one published dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Find Advanced Search

1 to 10 of 16 Results
24 Sep, 2012 - Social Science
ICRISAT, 2016, "TL II and IFAD Baseline Surveys - Malawi", doi: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...
23 Jul, 2013 - Social Science
Asfaw, Solomon; Shiferaw Bekele, 2016, "TL II & IFAD Baseline Surveys - Tanzania", doi: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...
23 Aug, 2012 - Social Science
ICRISAT; EIAR, 2016, "TL II & IFAD Baseline Surveys - Kenya", doi:10.21421/D2/QNBRQK, ICRISAT Dataverse, V1
Baseline Surveys - Kenya funded by TLII and IFAD
23 Jul, 2012 - Social Science
Asfaw, Solomon; Shiferaw Bekele, 2016, "TL II & IFAD Baseline Surveys - Ehiopia", doi:10.21421/D2/I6TG2R, ICRISAT Dataverse, V1
Three districts namely Gimbichu, Lume-Ejere, Minjar-Shenkora were selected by a combination of stratified and purposive sampling methods were surveyed. From each of these 3 districts 8 kebeles (wards) were selected ,from which a total of 700 households (400 households covered und...
17 Jul, 2012 - Phenotypic
Gupta SC, 2016, "Study of Pollination in Pigeonpea", doi:10.21421/D2/AQCPLZ, ICRISAT Dataverse, V1
Objective of the project is to determine the pollen vectors and study their activity, determine distance necessary for isolation,determine extent of crossing on plants in different arrangements and with different relative frequencies, determine planting arrangement necessary for...
18 Jul, 2012 - Social Science
Shiferaw Bekele; Silim, Said; Muricho, Geoffrey, 2016, "Preliminary Impact of long duration improved Pigeonpea in Babati district - TANZANIA", doi: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...
23 Jul, 2012 - Social Science
ICRISAT, 2016, "Pigeonpea sub-sector survey in Kenya - Trader survey", doi:10.21421/D2/HLBG3C, ICRISAT Dataverse, V1
Pigeonpea sub-sector survey in Kenya - Trader survey
20 Jul, 2012 - Phenotypic
Reddy LJ, 2016, "Evaluation of Trial for Genetic Analysis", doi:10.21421/D2/FNNVHB, ICRISAT Dataverse, V1
Objective of the project is to produce single and three way cross pollination for breeding and gain some information on specific components of genetic variance ans also introduce favorable alleles from recently recognized superior germplasm entries into the breeding material.
17 Aug, 2012 - Phenotypic
Saxena KB, 2016, "Diallel selective mating scheme evaluation", doi:10.21421/D2/RWDUHD, ICRISAT Dataverse, V2, UNF:6:9pYz5jxzNtjmUg5eool2Zw==
Objective of the project is to compare relative efficiency of various breeding procedures in double- cross populations and develop high yielding populations or cultivars
16 Jul, 2012 - Phenotypic
Saxena KB, 2016, "Development of Medium Duration Cultivars and Superior Breeding Lines for Grain Production", doi:10.21421/D2/XCNLN4, ICRISAT Dataverse, V2, UNF:6:uksrR6YjOkvx6iF/8CPG7w==
Objective of the project is todevelop high yielding medium maturing cultivars with acceptable grain quality that are adapted to pure and companion cropping with various other crops and contribute breeding lines and populations to breeders throughout the semi - arid tropics
Add Data

You need to Sign Up or Log In to create a dataverse or add a dataset.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.

Contact ICRISAT Dataverse Support

ICRISAT Dataverse Support

Please fill this out to prove you are not a robot.

+ =
Send Message