Data from: Long term on-farm participatory maize breeding by stratified mass selection retains molecular diversity while improving agronomic performance

Alves ML, Belo M, Carbas B, Brites C, Paulo M, Mendes-Moreira P, Brites C, Bronze MdR, Šatović Z, Vaz Patto MC

Date Published: September 5, 2017

DOI: https://doi.org/10.5061/dryad.nb320

Files in this package

Content in the Dryad Digital Repository is offered "as is." By downloading files, you agree to the Dryad Terms of Service. To the extent possible under law, the authors have waived all copyright and related or neighboring rights to this data. CC0 (opens a new window) Open Data (opens a new window)

Title Agronomic and molecular data on two historical maize poulation across a long-term participatory breeding program
Downloaded 10 times
Description ANNEX I. Data on the agronomic performance of two historical maize populations, Amiúdo and Castro Verde, and their derived selection cycles from multi-location field trials. ANNEX II. Genotypic matrix of the alleles per individual plant, scored in base pairs. Thirty random individual plants from each cycle (initial populations and selection cycles) were genotyped with 20 microsatellite markers.
Download Annex data to 49347782EVA-2017-122-OA.R1.xlsx (64.88 Kb)
Details View File Details

When using this data, please cite the original publication:

Alves ML, Belo M, Carbas B, Brites C, Paulo M, Mendes-Moreira P, Brites C, Bronze MdR, Šatović Z, Vaz Patto MC (2017) Long term on-farm participatory maize breeding by stratified mass selection retains molecular diversity while improving agronomic performance. Evolutionary Applications, online in advance of print. https://doi.org/10.1111/eva.12549

Additionally, please cite the Dryad data package:

Alves ML, Belo M, Carbas B, Brites C, Paulo M, Mendes-Moreira P, Brites C, Bronze MdR, Šatović Z, Vaz Patto MC (2017) Data from: Long term on-farm participatory maize breeding by stratified mass selection retains molecular diversity while improving agronomic performance. Dryad Digital Repository. https://doi.org/10.5061/dryad.nb320
Cite | Share
Download the data package citation in the following formats:
   RIS (compatible with EndNote, Reference Manager, ProCite, RefWorks)
   BibTex (compatible with BibDesk, LaTeX)

Search for data

Be part of Dryad

We encourage organizations to: