Dataset for: Presence of seed-borne pest and pathogens on/in the seed produced by farmers in the province of Cotopaxi
Notice bibliographique
Résumé
Seed degeneration (PSD) threats potato production in developing countries. PSD is defined as the accumulation of pest and pathogens in/on the seed tuber due to the successive cycles of vegetative propagation leading potentially to a yield and quality reduction (Thomas-Sharma et al., 2016; Pl. Path. [vol 65, issue 1]). However, the understanding of PSD in the Andes is deficient due to the limited comprehension of the spatial distribution of potato seed- and soil- borne pests and pathogens. For this reason, 260 farmers´ seed lots and fields were surveyed in the province of Cotopaxi-Ecuador from September to October 2018. The survey was implemented using a stratified sampling design (stratum = Cantons of Latacunga, Pujili, Salcedo and Saquisili). The sample size was defined based on the seed replacement rate reported by farmers in a pilot study previously implemented. In each place, farmers kindly provided a sample of (1 to 10) potato seed tubers depending on their willingness. In addition to it, a soil sample was collected from the closest field to the house after farmers provided oral consent. Symptoms and damages on the seed tubers caused by insects and fungi were visually inspected following the methodology suggested by James (1971, [Canadian pl. dis. survey {vol. 51}]) and the photography guide of the main pests and pathogens of the potato crop in Ecuador (Montesdeoca et al., 2013)(Reported in sheet coined Insects and Fungi). Virus identification was carried out on plantlets coming from the tubers assessed previously. This was performed by using the kits and the protocol for DAS-ELISA manufactured and suggested by CIP (2007). Six viruses were identified: PVX, PVS, PVY, APLV, PLRV, and APMoV (Reported in sheet coined Virus). Forty three soil samples out of the 260 were selected depending on the farmers’ field altitude and landscape location (Reported in sheet coined nematodes). These were sent to the laboratory of Plant Protection of the National Agriculture Research Center (INIAP) for nematodes identification. Nematodes were identified according to the methodologies of Oostenbrink (1960) and Fenwick (1940). It is expected that this database contributes to a deeper knowledge about the presence of seed-borne pests and pathogens in the tropical highlands of Ecuador and to design better seed system interventions.;The dataset contains data about presence of seed-borne pest and pathogens on/in the seed produced by farmers in the province of Cotopaxi.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».