Pour répondre aux grands enjeux de l'agriculture méditerranéenne et tropicale, l'unité AGAP Institut se donne comme ambition de mettre en synergie une grande diversité de compétences, d'approches et de ressources pour des plantes cultivées mieux adaptées à des agrosystèmes variés.
Les tutelles de l'UMR AGAP Institut sont le CIRAD, l'INRAE, l'institut Agro et l'Université de Montpellier.
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11 to 20 of 302 Results
Tab-Separated Values - 1,3 MB - MD5: 560e948cdcee4b8150247a6e832f5bcd
Table (TSV) presenting best linear unbiased prediction of genotypic effects for 24 agro-morphological traits along with pedigree information for 2727 triploid banana hybrids, including four checks and 1464 hybrids which were genotyped-by-sequencing. Among the 1464 hybrids genotyp...
4 nov. 2024
Kaczmarek, Thomas; Cubry, Philippe; Champion, Louis; Causse, Sandrine; Couderc, Sandrine; Orjuela, Julie; Uyoh, Edak A.; Oselebe, Happiness O.; Dachi, Stephen N.; Adje, Charlotte; Sekloka, Emmanuel; Achigan-Dako, Enoch G.; Ibrahim Bio Yerima, Abdou R.; Saidou, Sani; Bakasso, Yacoubou; Diop, Baye M.; Gueye, Mame C.; Agyare, Richard Y.; Adjebeng-Danquah, Joseph; Gueye, Mathieu; Wieringa, Jan J.; Vigouroux, Yves; Billot, Claire; Barnaud, Adeline; Leclerc, Christian, 2024, "Genomics of white and black fonio millets : passport data, snp and kmer files.", https://doi.org/10.18167/DVN1/OYTQO6, CIRAD Dataverse, V1, UNF:6:Id37Yd1Os2wQVns323wx4g== [fileUNF]
Crop evolutionary history and domestication processes are key issues for better conservation and effective use of crop genetic diversity. In Western Africa, two small indigenous grain cereals are found, black and white fonio (Digitaria exilis and Digitaria iburua respectively). T...
Gzip Archive - 503,3 MB - MD5: 3b29a69918bb20cc82603b90912b884c
Principal VCF file used in the study
Tabular Data - 2,7 KB - 1 Variables, 246 Observations - UNF:6:Id37Yd1Os2wQVns323wx4g==
List of the 247 Digitaria accessions
PLINK Binary - 59,1 MB - MD5: 228fd0a57fb331b5e292ecd6cb85db4c
The presence-absence table (bed format)
Unknown - 40,1 MB - MD5: d5e26dce58d94c313a6772b9a04a4365
List of k-mers (bim format)
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