Focus: Conserving genetic diversity and using it by introgressing novel genes into breeding populations adapted to the agro-ecologies of dry areas, future climates, and markets. Dry area agrobiodiversity is key to ensuring further genetic gains and adaptation to climate change. ICARDA plays a crucial role in promoting the conservation and sustainable use of dry area agrobiodiversity. Its genebanks hold important and unique collections of global significance in trust. The collections total more than 155,000 plant accessions and 1,380 strains of rhizobia, collected predominantly from four major Vavilovian centers of diversity (Mediterranean, Central Asia, West Asia, and Abyssinia). SRP1 will contribute to introgressing multiple key traits into the breeding populations of the mandated crops that are the focus of SRP2.
ICARDA Strategic Plan 2017 - 2026: https://dx.doi.org/20.500.11766/8237
Featured Dataverses

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

Advanced Search

1,611 to 1,620 of 1,687 Results
DataDictionary_UniqueIdentifier.csv
Apr 23, 2020 - Genotypic data from the Hi-AM association mapping on Barley - PAVs (Hi-AM_PAVs)
Comma Separated Values - 268 B - MD5: a6b0ebfc6228753228ce73b4a0f18490
Hi_AM_PAVs.csv
Apr 23, 2020 - Genotypic data from the Hi-AM association mapping on Barley - PAVs (Hi-AM_PAVs)
Comma Separated Values - 7.1 MB - MD5: 02cbaccc1ee94a57db2012b56eb3832f
DataDictionary_ElementDescription.csv
Apr 23, 2020 - Genotypic data from the Hi-AM association mapping on Barley - SNPs (Hi-AM_SNPs)
Comma Separated Values - 45.8 KB - MD5: 4485433b472a14f2e2b77029fde057cb
DataDictionary_Introduction.csv
Apr 23, 2020 - Genotypic data from the Hi-AM association mapping on Barley - SNPs (Hi-AM_SNPs)
Comma Separated Values - 2.0 KB - MD5: 0e45938473fedb18101cdbf2baf644fa
DataDictionary_UniqueIdentifier.csv
Apr 23, 2020 - Genotypic data from the Hi-AM association mapping on Barley - SNPs (Hi-AM_SNPs)
Comma Separated Values - 268 B - MD5: 7cbe43367e8f472782ba2d8edfd0ae27
Hi_AM_SNPs.csv
Apr 23, 2020 - Genotypic data from the Hi-AM association mapping on Barley - SNPs (Hi-AM_SNPs)
Comma Separated Values - 3.4 MB - MD5: de93612df56c0459227de11821e38186
Participatory variety trial on selected clones from diversity panel population (Yield, growth and quality data)
Apr 15, 2020
Kowalski, Britta, 2020, "Participatory variety trial on selected clones from diversity panel population (Yield, growth and quality data)", https://hdl.handle.net/20.500.11766.1/FK2/W91EAB, MELDATA, V1
The dataset contains data about a participatory variety trial on selected clones from diversity panel population for potato varieties in Amhara region, Ethiopia.
Calculated_Yield_Data.csv
Apr 15, 2020 - Participatory variety trial on selected clones from diversity panel population (Yield, growth and quality data)
Comma Separated Values - 6.3 KB - MD5: f0a4bb49c5aff729543a677346ea198c
DataDictionary_ElementDescription.csv
Apr 15, 2020 - Participatory variety trial on selected clones from diversity panel population (Yield, growth and quality data)
Comma Separated Values - 13.4 KB - MD5: a6aa442f34a75dad80f60147b7f22729
DataDictionary_Introduction.csv
Apr 15, 2020 - Participatory variety trial on selected clones from diversity panel population (Yield, growth and quality data)
Comma Separated Values - 542 B - MD5: d5a884241a342be92902af96f46d62c7
Add Data

Sign up or log in to create a dataverse or add a dataset.

Sign Up Log In
Share Dataverse

Share this dataverse on your favorite social media networks.

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.