Identification and relative abundance of native arbuscular mycorrhizal fungi associated with oil-seed crops and maize (Zea mays L.) in derived savannah of Nigeria
Notice bibliographique
Résumé
Article Details: Received: 2019-07-22 | Accepted: 2019-10-10 | Available online: 2019-09-30 https://doi.org/10.15414/afz.2019.22.03.84-89 A field survey was conducted to assess root colonization, spore densities and relative abundance of native arbuscular mycorrhizal fungi (AMF) based on morphological aspects. Roots and rhizosphere soil samples were collected from established fields of selected oil seed crops [soybean (Glycine max L.), sesame (Sesamum indicum) and sunflower (Helianthus annuus)] and maize (Zea mays L.) grown in derived savannah agro-ecology of Southwest Nigeria. The mean percentage of AMF colonization across all crops was 60.8%, ranging from 34% to 87.5%, with highest root colonization observed in soybean. The spore densities retrieved from the different rhizospheres were relatively high, varying from 124 to 298 spores per 50 g dry soil, with highest spore densities observed in maize rhizosphere soils. The spore densities in the soil significantly correlated (r = 0.52, and P <0.05) with the root colonization. A total of 4 morphologically classifiable genera (Glomus, Gigaspora, Acaulospora, and Scutellospora) of AMF within the phylum Glomeromycota were detected. The dominant genus was Glomus in all the crops with highest relative abundance of 60.9%, followed by Acaulospora (21.3%) and Scutellospora (12.8%), with lowest relative abundance of AM spores observed for Gigaspora (5%). This study could contribute significantly to a better understanding of AMF community structure in derived savannah agro-ecology of Nigeria. Keywords: Arbuscular mycorrhizal fungi, community structure, oil-seed crops, root colonization, spore density References AZCÃN-AGUILAR, C. and BAREA, J.M. (1997) Arbuscular mycorrhizas and biological control of soil-borne plant pathogens â an overview of the mechanisms involved. In Mycorrhiza, vol. 6, pp. 457â464. BIERMANN, B. and LINDERMAN, R.G. 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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 | 0,003 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,000 |
| Bibliométrie | 0,001 | 0,003 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,002 | 0,001 |
| Intégrité de la recherche | 0,002 | 0,003 |
| 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; les deux têtes enseignantes s’accordent sur ce qui est montré ici.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».