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6,231 to 6,240 of 10,508 Results
Jan 9, 2020
Nyagumbo, Isaiah; Rusinamhodzi, Leonard; Mupangwa, W; Njeru, John; Craufurd, Peter; Nhambeni, B; Dias, Domingos; Kamalongo, Donwell; Siyeni, Dyton; Ngwira, Amos; Sariah, John; Ngatoluwa, Rama; Makoko, B; Ayaga, George; Micheni, Alfred; Nkonge, Charles; Atomsa, TB; Bedru, Beshir; Kanampiu, Fred, 2017, "SIMLESA. On-station and on-farm agronomy data from 2010 to 2019.", https://hdl.handle.net/11529/2223085, CIMMYT Research Data & Software Repository Network, V3
The file contains on-farm and on-station agronomy data sets generated in Eastern and Southern Africa between 2010 and 2016 under the Sustainable Intensification of Maize-Legume systems in Eastern and Southern Africa (SIMLESA) project. The five countries involved were Ethiopia, Ke...
MS Excel Spreadsheet - 2.1 MB - MD5: 2fdeaf69edc27c9f3bece59c07facdfb
Gzip Archive - 315.8 KB - MD5: 951453f6d916e5d2adf17e5f1a3486f0
Phenotypic data
Dec 21, 2019
Singh, Sukhwinder; Vikram, Prashant; Saint Pierre, Carolina; Payne, Thomas; Sehgal, Deepmala; Solís Moya, Ernesto; Ireta Moreno, Javier; Fuentes Dávila, Guillermo; Burgueño, Juan; Sansaloni, Carolina; Ortiz, Cynthia, 2017, "Wheat Linked Topcross Population Information from the Seeds of Discovery - MasAgro Biodiversidad Project", https://hdl.handle.net/11529/11038, CIMMYT Research Data & Software Repository Network, V2, UNF:6:fnpNFoCt9jIGfHAXZnpS8g== [fileUNF]
The Linked Topcross Population (LTP) was generated to introgress useful traits from wheat germplasm bank accessions, including synthetic hexaploids and landraces, into elite wheat varieties. In addition to generating pre-breeding materials selected for important traits such as he...
Tabular Data - 16.6 KB - 3 Variables, 255 Observations - UNF:6:ypQlftwXzcI5pa5xMKdq4Q==
DOIs from the FAO GLIS for germplasm in the study
Tabular Data - 15.2 KB - 4 Variables, 238 Observations - UNF:6:RBQ51+yOWc3yB/mf/XO0jA==
DOIs from the FAO GLIS for germplasm in the study
Plain Text - 7.8 KB - MD5: bef9a766f12b68cdff97c9cde28b0971
Data dictionary
Basic data dictionary that describes the meaning of the column headers in different sheets of the phenotypic data file
Gzip Archive - 1.9 MB - MD5: 1f33f3063ca8875cc3a3eaef805089d8
Phenotypic data
Phenotypic data from several different maize trials conducted in 2017
Plain Text - 1.1 KB - MD5: fd381d78259d5a38ab6ef7f383db577a
Basic details about the trials conducted in 2017 such as the number of locations and plots
Dec 20, 2019
Hearne, Sarah; Chen, Charles; Buckler, Ed; Mitchell, Sharon, 2014, "Unimputed GbS derived SNPs for maize landrace accessions represented in the SeeD-maize GWAS panel", https://hdl.handle.net/11529/10034, CIMMYT Research Data & Software Repository Network, V6, UNF:6:Fzr9pMutcKVd/1ypovjueg== [fileUNF]
Obtain unimputed SNP profiles from genotyping-by-sequencing of the accession parents of the SeeD GWAS testcross panel.
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