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NIRS calibration database on fresh yam for texture at CIRAD, Guadeloupe
No full text"This database contains 1017 NIR spectra of fresh slices of yam acquired in CIRAD (Guadeloupe), by using ASD Labspec5000 NIR spectrometer. Yam harvested at INRAE Godet Station (Guadeloupe) from one field with the various varieties and one year 2022 (harvests from February 7 to March 31)
The database contains also laboratory data measured on the same yam samples: texture measurements were recorded after 15 minutes of cooking and 7 minutes of temperature stabilization (to assess 45 °C) by penetrometry test (hardness 5mm (N); hardness max (N); Distance à F max; Aire dist; gradient 5-hmax; gradient 0-5; hardness 10mm (N)); the Dry matter values (DM) correspond to dry matter content measured after freeze-drying of the yam pieces
Inventaire à dire d'acteurs des ressources ligneuses de la Forêt Communautaire COPAL (Cameroun)
No full textInventaire des essences ligneuses commerciales dans la Forêt Communautaire de la COPAL en recourant aux dires des propriétaires coutumiers volontaires.
Liste des variables du jeu de données :
Village : nom du village
Date inventaire
Numéro anonymisé du propriétaire
Age : Âge du propriétaire
Nom du lignage
Type d'espace : Cacaoyère, forêt ou jachère
Essence : Nom pilote de l'espèce (classification ATIBT)
Diamètre : Classe de diamètre en cm (classe 50 pour [50-60[)
Nombre de tiges :
Distance à pied (en minute) : Distance depuis le village
Coord. X : Longitude
Coord. Y : Latitude
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Genotyping of 600 rice accessions from 3 genetic group (O. sativa indica, O. sativa japonica and O. glaberrima) collected in Conakry Guinea between 1979 and 2011
No full textGenotyping By Sequencing with ApekI enzyme of 600 accessions from 3 genetic group (O. sativa indica, O. sativa japonica and O. glaberrima). Plant material was collected through two collection campaigns in Conakry Guinea. The first campaign took place in 1979 and 1982 (Bezançon et al. 1983). The second collection campaign was undertaken in 2011 by scientists from Cirad and IRAG. The collect area stretched from tropical forest to Sudanian savannah agro-ecological regions of Conakry Guinea: latitude 7°34′19.96′′ N–12°29′1.50′′ N; longitude 8°25′0.0′′ O-13°17′59.17′′ O
Gendered Food Mapping Data on Boiled Cassava generated by UAC-FSA & IITA in Benin
No full textThis dataset contains data generated during the Activity 3 or Step 2 - Gendered food mapping performed by the UAC-FSA & IITA team in Benin on Boiled Cassava, 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
NIRS Database on fresh blended yellow cassava for DM, HCN, TCC, TBC & cooking time at CIAT, Colombia
No full textThe database contains biophysical data (DM, HCN, TCC, TBC, cooking time) and NIRS data of 1056 samples of biofortified (yellow) cassava harvested at CIAT over several years (2016-2019). NIRS data was recorded on fresh blended cassava roots, using a Foss 6500 instrument. The objective of the study is to investigate correlations between biophysical data and NIRS data, using different statistical approaches to identify the one(s) that works best. Deep learning algorithms will also be tested to assess their potential for more accurate NIRS calibrations
NIRS Database on fresh blended yam at IITA, Nigeria
No full textMultilocation yam samples harvested in 5 location and different trials. Fresh yam tubers were blended and spectra data collected
Participatory Processing Data on Fried Sweetpotato generated by CIP 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 CIP team in Nigeria on Fried Sweetpotato, 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
Consumer Testing Data on Fufu generated by NRCRI 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 NRCRI team in Nigeria on Fufu, 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
Distribution and abundance of IAP in differents areas of La Reunion island from 1989 to 2023 according to method of Macdonald
No full textThe data comprise presence and abundance of invasive alien plants (IAS) in differents areas in La Reunion. The method of abundance measurement used is the protocol of Macdonald in 1989, 2010, 2013 and 2023. This protocol involves visually evaluating the abundance of IAP along transects of varying sizes, divided into severals segments averaging 100 m, in disturbed (road) and undisturbed environments ( trail)
NIRS Database on fresh grated cassava for softness at NaCRRI, Uganda
No full textCassava root softness is one of the important consumer acceptability traits for boiled root cassava product. Thus determination of fresh root softness using relevant phenotyping tools makes it possible to select cassava varieties with preferred farmer attributes. The fresh grated cassava for softness database was created out of the RTB clones established at NaCRRI. The samples constituting this database were harvested in 2019 where 58 genotypes were considered. The database is powered by the standard operating procedure on acquiring spectra from fresh grated roots using the FOSS DS2500 equipment. Given logistical and technical constraints, the database consists of 36 of the 58 genotypes RTB panel genotypes. Spectra from these genotypes were obtained from fresh grated immediately after harvest. At the same time, reference information related to the softness of the root was generated using a penetrometer and texture analyzer. Calibration on the same showed weaker association of the trait (r<0.4) with spectra acquired. This shows that relevant adjustments in methodologies to acquire spectra and number of clones used are needed to fully determine the potential of NIRS to determine root softness in cassava