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Participatory Processing Data on Fufu generated by NRCRI in Nigeria
No full textThis dataset contains data generated during the Activity 4 or Step 3 - Participatory Processing Diagnosis and Quality Characteristics performed by the NRCRI team in Nigeria on Fufu, within the RTBfoods project following the methodological Guidance.
This dataset may contain diverse types of anonymized data (e‧g. questionnaires, processing parameters, cleaned and processed data) which is to be available on open access following a 2-years embargo after the end of the RTBfoods project (embargo ending date: 15 March 2025)
This dataset may also contain non-anonymized data (e‧g. raw data, consent forms signed by interviewees) which cannot be made publicly available, at any time; non-anonymized data is contained in the .tar‧gz file. For more information about the content of the .tar‧gz file, you are invited to contact the authors mentioned in the metadata
NIRS Database on Fresh Intact Cassava for cooking time to texture calibration at CIAT, Colombia
No full textThis dataset contains 160 spectra obtained on samples of fresh cassava, studied in CIAT, Colombia, Year 2019 using FOSS 2500 for the prediction of cooking time and texture of fresh cassava roots
de Verdal et al. Optimization of multi-generation multi-location genomic prediction models for recurrent genomic selection in an upland rice population
No full textThese data correspond to the phenotypic and genomic datafiles used for the paper entitled "Optimization of multi-generation multi-location genomic prediction models for recurrent genomic selection in an upland rice population
Molecular epidemiology of the citrus bacterial pathogen Xanthomonas citri pv. citri from the Arabian Peninsula reveals a complex structure of specialist and generalist strains
No full textRaw data for Pruvost et al., 2022, Evolutionary Applications, Molecular epidemiology of the citrus bacterial pathogen Xanthomonas citri pv. citri from the Arabian Peninsula reveals a complex structure of specialist and generalist strain
NIRS Database on raw fresh grated sweetpotato at CIP, Uganda
No full textSweetpotatoe root samples havested in two locations in Uganda at 11/2019 (60 genotypes). Up to four sweetpotatoe roots per genotype were peeled, cut longitudinal, sliced and grinded. One spectra was taken per grated sample
Consumer Testing Data on Pounded Yam generated by Bowen University in Nigeria
No full textThis dataset contains data generated during the Activity 5 or Step 4 - Consumer Testing in Rural and Urban Areas performed by the Bowen University team in Nigeria on Pounded Yam, within the RTBfoods project (following the Methodological Guidance and its supplement).
This dataset may contain diverse type of anonymized data (e‧g. questionnaires, cleaned and processed data) which is to be available on open access following a 2-years embargo after the end of the RTBfoods project (embargo ending date: 15 March 2025)
This dataset may also contain non-anonymized data (e‧g. raw data, consent forms signed by interviewees) which cannot be made publicly available, at any time; non-anonymized data is contained in the .tar‧gz file. For more information about the content of the .tar‧gz file, you are invited to contact the authors mentioned in the metadata
NIRS Database on fresh Matooke for Dry Matter & Texture at NaCRRI & IITA, Uganda
No full textThe objective of this database was the determination of the influence of Dry Matter (DM) and rapid visco analyser (RVA) parameters on the acceptability of matooke and could explain relevant traits such as tokeness in banana. The fresh matooke for tokeness database was created out of the RTB clones established at NACCRI (Uganda). The samples constituting this database were harvested in 2021 where 53 genotypes were considered. The database is powered by the standard operating procedure on spectra measurement of fresh matooke using the ASD Quality Spec equipment. Given logistical and technical constraints, the database consists of 45 genotypes RTB panel genotypes. For each genotype one to three bunches were used and each Each genotype is replicated 3 times (3 bunches are evaluated for each genotype). Four fingers are scanned per bunch for NIRS on fresh sample. Each of these fingers is cut in half. One half of the same 4 fingers are boiled and mashed, then scanned twice for NIRS on mashed sample. The other half is peeled, chopped and used for DM. The dried sample (after DM) is then ground into powder/flour, from which we obtain spectra and RVA data. 303 NIRS spectra were acquired
Measurement of arsenic levels in the leaves and seeds of a panel of 300 japonica varieties and GBS genotyping of 228 of them
No full textA measurement of arsenic levels in the leaves and seeds of a panel of 300 japonica rice varieties was carried out in 2014 in Camargue, France. With the aim of testing genomic prediction, GBS genotyping (ApekI enzyme) of 228 of them was also done
"Petit Plateau" permanent plots sixth census, 2015, Nouragues forest
No full textForest censuses from the Nouragues research station, CNRS, French Guiana, in the Guyafor network. This dataset gathered trees location, botanical identification and size measurement from the 2015 census. The mission of the Nouragues research Station is to foster scientific research in tropical rain forests, at a site remote from major human activities. Guyafor Data Dictionary</a
Gendered Food Mapping Data on Gari generated by IITA & ENSAI in Cameroon
No full textThis dataset contains data generated during the Activity 3 or Step 2 - Gendered food mapping performed by the IITA & ENSAI team in Cameroon on Gari, within the RTBfoods project (following the Methodological Guidance).
This dataset may contain diverse types of anonymized data (e‧g. questionnaires, cleaned and processed data) which is to be available on open access following a 2-years embargo after the end of the RTBfoods project (embargo ending date: 15 March 2025)
This dataset may also contain non-anonymized data (e‧g. raw data, consent forms signed by interviewees) which cannot be made publicly available, at any time; non-anonymized data is contained in the .tar‧gz file. For more information about the content of the .tar‧gz file, you are invited to contact the authors mentioned in the metadata