Ethnolinguistic associations and genetic diversity of rice landraces in Nagaland, India
Notice bibliographique
Résumé
Societal Impact Statement Preserving and conserving crop landraces, tended by indigenous farming communities, is crucial for future food security. This research focused on rice landrace diversity in the north‐eastern Himalayan region of Nagaland, India, where Naga communities cultivate rice according to their dietary and cultural preferences. Rice diversity is closely linked to the region's ethnolinguistic and ecological variety. On‐farm conservation, in collaboration with indigenous communities, is imperative to protect these germplasm resources. Involving these communities actively in conservation efforts will safeguard their traditional knowledge, endorse sustainable farming practices, and enhance the resilience of local agricultural systems. Summary Understanding the genetic diversity and cultural significance of crop landraces is crucial for their conservation and sustainable utilization. This study focused on rice landraces from Nagaland in north‐eastern India to assess their genetic diversity and explore their associations with ethnolinguistic groups. We collected 78 rice landraces from Nagaland and a small part of Manipur and conducted microsatellite genotyping for genetic analysis. We integrated social anthropology and population genetics analyses of rice landraces to glean insights into the genetic diversity, population structure, and ethnolinguistic history of rice cultivation in Nagaland. The study revealed the rich cultural significance of rice landraces among the Nagas . Farmers practiced small‐scale subsistence farming, maintaining diverse rice landraces. Naming conventions were based on factors such as seed source, color, grain type, and ecological suitability. Rice landraces played important roles in ethnic cultures, festivals, and religious ceremonies. Genetic analysis identified significant diversity, with 277 alleles across 69 loci and a moderate gene diversity of 0.57. Two distinct sub‐populations were identified, with one dominated by Chakhesang and Angami Nagas and the other by Sümi and Lotha accessions. Differentiation was observed between lowland and upland cultivars, with one sub‐population comprising exclusively lowland varieties. Cultural factors and cultivation practices influenced population differentiation, with ethnicity and ecotype having a significant impact. The study also highlighted the correlation between ethnolinguistic differentiation and the indica–japonica structuring of rice landraces. Different ethnic groups in Nagaland had distinct cultivation practices, contributing to genetic differentiation. Overall, this research emphasizes the need to preserve rice landraces and associated traditional knowledge for future improvements and cultural heritage conservation. It provides insights into genetic diversity, cultural significance, and the relationship between genetic diversity, cultural practices, and agricultural traditions.
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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 ».