UMR DIADE

DIversity - Adaptation - plant DEvelopment

The DIADE Research Unit aims to understand the diversification of tropical plants, one of the main original reservoirs of biodiversity, and for which conservation, management and exploitation are an important issue for Sustainable Development.

The nine teams forming the Unit belong to IRD, University of Montpellier, CIRAD, and CNRS.

CERES Team

DYNADIV Team

PANEEC Team

EVOGEC Team

ADvENS Team

AgroLD

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351 to 360 of 1,043 Results

0_ReadMe.txt Aug 5, 2024 - Supplementary data for: Transpiration efficiency variations in the pearl millet reference collection PMiGAP Plain Text - 2.1 KB - MD5: 859eaa1d64c7909122250061b3660f8e Documentation Data citation, description and terms of use
RawData_PearlMillet_2012.tab Aug 5, 2024 - Supplementary data for: Transpiration efficiency variations in the pearl millet reference collection PMiGAP Tabular Data - 416.7 KB - 47 Variables, 1300 Observations - UNF:6:NDcIEOWxSAayBuy0QnOVpA== Data Raw data file for 2012 (tsv data file)
RawData_PearlMillet_2013.tab Aug 5, 2024 - Supplementary data for: Transpiration efficiency variations in the pearl millet reference collection PMiGAP Tabular Data - 154.9 KB - 42 Variables, 504 Observations - UNF:6:+m3VscAA/1AWpc1T5A4Kwg== Data Raw data file for 2013 (tsv data file)
RawData_PearlMillet_2015.tab Aug 5, 2024 - Supplementary data for: Transpiration efficiency variations in the pearl millet reference collection PMiGAP Tabular Data - 243.2 KB - 26 Variables, 1400 Observations - UNF:6:yMcUich+zRPkR7659O4ptQ== Data Raw data file for 2015 (tsv data file)
RawData_PearlMillet_data_dictionary.xlsx Aug 5, 2024 - Supplementary data for: Transpiration efficiency variations in the pearl millet reference collection PMiGAP MS Excel Spreadsheet - 9.5 KB - MD5: 975eb6351ebb422e0b87bf8dde611f1d Documentation Data dictionary
RAWDATA_PEARLMILLET_TE_ASSESSMENT.tab Aug 5, 2024 - Supplementary data for: Transpiration efficiency variations in the pearl millet reference collection PMiGAP Tabular Data - 3.5 KB - 16 Variables, 52 Observations - UNF:6:x/PBed13+tzuQ5B3Oe47FA== DataDocumentation Raw data file for the three years 2012, 2013 and 2015 with a description of each variable in an excel format (original xls file)
High throughput genetic diversity analyses of neglected crops: training data, codes and materials (Africa) May 16, 2024 - DYNADIV Team Barnaud, Adeline; Veltman, Margaretha; Kaczmarek, Thomas; Argout, Xavier; Vigouroux, Yves; Berthouly-Salazar, Cecile; Billot, Claire, 2024, "High throughput genetic diversity analyses of neglected crops: training data, codes and materials (Africa)", https://doi.org/10.23708/ETC16I, DataSuds, V1, UNF:6:ON0wb/ZYjxl4qqjnr8NEPA== [fileUNF] Marginal land is land that is of little agricultural value because crops produced there would be worth less than any rent paid for access to the area. Helping to develop such zones in Africa is a key goal for the EU-funded EWA-BELT project. The aim is to promote the sustainable i...
0_ReadMe.txt May 16, 2024 - High throughput genetic diversity analyses of neglected crops: training data, codes and materials (Africa) Plain Text - 2.1 KB - MD5: 0ad59fd46069aaec2008347fc45ec2ce Documentation Dataset citation, description and terms of use.
chr5_5association.txt May 16, 2024 - High throughput genetic diversity analyses of neglected crops: training data, codes and materials (Africa) Plain Text - 382.2 MB - MD5: 5888c01657ff5624ad88b8200d103076 Data This file contains the data for the GWAS analysis to be used with 'S4_script_GWAS_basic_Rcode.pdf' (Varshney et al. 2017).
GBS-chr2_raw.vcf.gz May 16, 2024 - High throughput genetic diversity analyses of neglected crops: training data, codes and materials (Africa) Gzip Archive - 53.7 MB - MD5: 7ac07ce9f286e974d6c5c572c40f78d8 Data VCF file containing the raw genomic data of pearl millet. This data file is associated with the script "S2_filter_VCF.html".These data are published in Berthouly-Salazar et al. (2016).

0_ReadMe.txt

Aug 5, 2024 - Supplementary data for: Transpiration efficiency variations in the pearl millet reference collection PMiGAP

Plain Text - 2.1 KB -

Documentation

Data citation, description and terms of use

RawData_PearlMillet_2012.tab

Aug 5, 2024 - Supplementary data for: Transpiration efficiency variations in the pearl millet reference collection PMiGAP

Tabular Data - 416.7 KB - 47 Variables, 1300 Observations -

Data

Raw data file for 2012 (tsv data file)

RawData_PearlMillet_2013.tab

Aug 5, 2024 - Supplementary data for: Transpiration efficiency variations in the pearl millet reference collection PMiGAP

Tabular Data - 154.9 KB - 42 Variables, 504 Observations -

Data

Raw data file for 2013 (tsv data file)

RawData_PearlMillet_2015.tab

Aug 5, 2024 - Supplementary data for: Transpiration efficiency variations in the pearl millet reference collection PMiGAP

Tabular Data - 243.2 KB - 26 Variables, 1400 Observations -

Data

Raw data file for 2015 (tsv data file)

RawData_PearlMillet_data_dictionary.xlsx

Aug 5, 2024 - Supplementary data for: Transpiration efficiency variations in the pearl millet reference collection PMiGAP

MS Excel Spreadsheet - 9.5 KB -

Documentation

Data dictionary

RAWDATA_PEARLMILLET_TE_ASSESSMENT.tab

Aug 5, 2024 - Supplementary data for: Transpiration efficiency variations in the pearl millet reference collection PMiGAP

Tabular Data - 3.5 KB - 16 Variables, 52 Observations -

DataDocumentation

Raw data file for the three years 2012, 2013 and 2015 with a description of each variable in an excel format (original xls file)

High throughput genetic diversity analyses of neglected crops: training data, codes and materials (Africa)

May 16, 2024 - DYNADIV Team

Barnaud, Adeline; Veltman, Margaretha; Kaczmarek, Thomas; Argout, Xavier; Vigouroux, Yves; Berthouly-Salazar, Cecile; Billot, Claire, 2024, "High throughput genetic diversity analyses of neglected crops: training data, codes and materials (Africa)", https://doi.org/10.23708/ETC16I, DataSuds, V1, UNF:6:ON0wb/ZYjxl4qqjnr8NEPA== [fileUNF]

Marginal land is land that is of little agricultural value because crops produced there would be worth less than any rent paid for access to the area. Helping to develop such zones in Africa is a key goal for the EU-funded EWA-BELT project. The aim is to promote the sustainable i...

0_ReadMe.txt

May 16, 2024 - High throughput genetic diversity analyses of neglected crops: training data, codes and materials (Africa)

Plain Text - 2.1 KB -

Documentation

Dataset citation, description and terms of use.

chr5_5association.txt

May 16, 2024 - High throughput genetic diversity analyses of neglected crops: training data, codes and materials (Africa)

Plain Text - 382.2 MB -

Data

This file contains the data for the GWAS analysis to be used with 'S4_script_GWAS_basic_Rcode.pdf' (Varshney et al. 2017).

GBS-chr2_raw.vcf.gz

May 16, 2024 - High throughput genetic diversity analyses of neglected crops: training data, codes and materials (Africa)

Gzip Archive - 53.7 MB -

Data

VCF file containing the raw genomic data of pearl millet. This data file is associated with the script "S2_filter_VCF.html".These data are published in Berthouly-Salazar et al. (2016).

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