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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131 to 140 of 439 Results
Python Source Code - 12,1 KB - MD5: 0e439c33b654a3a8bc26aa938cd5a870
python script that implements genomic prediction with the multi-layer perceptron artificial neural network
Plain Text - 34,1 MB - MD5: 10e67c4092c84a0395ef6bc1881e03db
SNP genotypes of the training set
Tabular Data - 25,3 KB - 1 Variables, 688 Observations - UNF:6:pBLqToykjsSCy6YlRkqVFg==
normalized phenotypes of the training set
Tabular Data - 18,1 KB - 1 Variables, 492 Observations - UNF:6:hi9zasl6s227fU6F97Buhg==
normalized phenotypes of the test set
19 déc. 2024
Fonceka, Daniel, 2024, "Genotyping and phenotyping data of 250 individuals of the Fleur11 x IpaCor AB-QTL population phenotyped during three consecutive years (2020, 2021 and 2022) at Nioro research Station, Senegal", https://doi.org/10.18167/DVN1/8LYUWO, CIRAD Dataverse, V1
This dataset relates to the paper "Mapping QTLs for early leafspot resistance and yield component traits using an interspecific AB-QTL population in peanut" published in 2024 in Frontiers in Plant Science. It gathers three years of phenotyping data collected during the rainy seas...
Unknown - 10,9 KB - MD5: 025f2e20c1c6af8c4939e74470547e17
ADH gene alignment in multifasta
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