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Enregistrement W2998258329 · doi:10.15414/afz.2019.22.03.84-89

Identification and relative abundance of native arbuscular mycorrhizal fungi associated with oil-seed crops and maize (Zea mays L.) in derived savannah of Nigeria

2019· article· en· W2998258329 sur OpenAlexaboutno aff
Nurudeen Olatunbosun Adeyemi

Notice bibliographique

RevueActa fytotechnica et zootechnica/Acta fytotechnica et zootechnica · 2019
Typearticle
Langueen
DomaineAgricultural and Biological Sciences
ThématiqueMycorrhizal Fungi and Plant Interactions
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésZea maysAgronomyArbuscular mycorrhizal fungiBiologyPoaceaeIdentification (biology)BotanyHorticultureInoculation

Résumé

récupéré en direct d'OpenAlex

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 AZCÓN-AGUILAR, C. and BAREA, J.M. (1997) Arbuscular mycorrhizas and biological control of soil-borne plant pathogens – an overview of the mechanisms involved. In Mycorrhiza, vol. 6, pp. 457–464. BIERMANN, B. and LINDERMAN, R.G. (1983) Use of vesicular-arbuscular mycorrhizal roots, intraradical vesicles and extraradical vesicles as inoculum. In New Phytolologist, vol. 95, pp. 97–105. BODDINGTON, C.L., and DODD, J.C. (2000) The effect of agricultural practices on the development of indigenous arbuscular mycorrhizal fungi. I. Field studies in an Indonesian ultisol. In Plant Soil, vol. 218, pp. 137–144. BRUNDRETT, M.C. (2002) Coevolution of roots and mycorrhizas of land plants. In New Phytologist, vol. 154, pp. 275–304. DAVISON, J. et al. (2015) Global assessment of arbuscular mycorrhizal fungus diversity reveals very low endemism. In Science, vol. 349, pp. 970- 973. DOUDS, D.D. Jr, 2005. On-farm production and utilization of arbuscular mycorrhizal fungus inoculum. In Canadian Journal of Plant Science, vol. 85, pp. 15–21. EVELIN, H., KAPOOR, R. and GIRI, B. (2009) Arbuscular mycorrhizal fungi in alleviation of salt stress: a review. In Annals of Botany, vol. 104, pp.1263–1280. GIOVANNETTI, M. and MOSSE, B. (1980) An evaluation of techniques for measuring vesicular arbuscular mycorrhizal infection in roots. In New Phytologist, vol. 84, pp. 489–500. HAZARD, C. et al. (2013) The role of local environment and geographical distance in determining community composition of arbuscular mycorrhizal fungi at the landscape scale. In The ISME Journal, vol. 7, pp. 498–508. LEKBERG, Y. et al. (2007) Role of niche restrictions and dispersal in the composition of arbuscular mycorrhizal fungal communities. In Journal of Ecology, vol. 95, pp. 95–105. LIN, X. et al. (2012) Long-term balanced fertilization decreases arbuscular mycorrhizal fungal diversity in an arable soil in north China revealed by 454 pyrosequencing. In Environmental Science & Technology, vol. 46, pp. 5764–5771. OEHL, F. et al. (2003) Impact of land use intensity on the species diversity of arbuscular mycorrhizal fungi in agroecosystems of Central Europe. In Applied Environmental Microbiology, vol. 69, pp. 2816–2824. OEHL, F. et al. (2009) Distinct sporulation dynamics of arbuscular mycorrhizal fungal communities from different agroecosystems in longterm microcosms. In Agric Ecosyst Environ., vol. 134, pp. 257–268. OEHL, F. et al. (2010) Soil type and land use intensity determine the composition of arbuscular mycorrhizal fungal communities. In Soil Biology and Biochemistry, vol. 42, pp. 724–738. OHSOWSKI, B.M. et al. (2014) Where the wild things are: looking for uncultured Glomeromycota. In New Phytologist, no. 204, pp. 171–179. PEYRET-GUZZON, M. et al. (2016) Arbuscular mycorrhizal fungal communities and Rhizophagus irregularis populations shift in response to short term ploughing and fertilisation in a buffer strip. In Mycorrhiza, vol. 26, pp. 33–46. PHILLIPS, J.M. and HAYMAN, D.S. (1970) Improved procedures for clearing roots and staining parasitic and VA mycorrhizal fungi for rapid assessment of infection. In Trans Br Mycol Soc., vol. 55, no.158–161. PIVATO, B. et al. (2007) Medicago species affect the community composition of arbuscular myccorhizal fungi associated with roots. In New Phytologist, no. 176, pp. 197–210. RILLIG, M. C. (2004) Arbuscular mycorrhizae, glomalin, and soil aggregation. In Canadian Journal of Soil Science, vol. 84, pp. 355–363. RILLIG, M.C. and Mummey, D.L. (2006) Mycorrhizas and soil structure. In New Phytologist, no.171, pp. 41–53 SCHENCK, N.C. and PEREZ, Y. (eds.) (1990) Manual for identification of VA mycorrhizal fungi. Gainesville: INVAM, University of Florida. 241 p. SCHEUBLIN, T.R. et al.( 2004) Nonlegumes, legumes, and root nodules harbor different arbuscular mycorrhizal fungal communities. In Applied Environmental Microbiology, vol. 70, pp. 6240–6246. SCHÜΒLER, A, SCHWARZOTT, D. and WALKER, C. (2001) A new fungal phylum, the Glomeromycota: phylogeny and evolution. In Mycology Research, vol. 105, pp. 1413–1421. SMITH, S.E., and READ, D.J. (2008) Mycorrhizal symbiosis. 3rd ed. New York: Academic Press. 787 p. VERBRUGGEN, E., and TOBY KIERS, E. (2010) Evolutionary ecology of mycorrhizal functional diversity in agricultural systems. In Evolutionary Appl., no. 3, pp. 547–560. YAMATO, M., IKEDA, S., and IWASE, K. (2009) Community of arbuscular mycorrhizal fungi in drought-resistant plants, Moringa spp., in semiarid regions in Madagascar and Uganda. In Mycoscience., vol. 50, pp. 100–105.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,003
score de la tête « metaresearch » (Gemma)0,002
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Intégrité de la recherche
Catégories consensuellesIntégrité de la recherche
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,696
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0030,002
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0020,000
Bibliométrie0,0010,003
Études des sciences et des technologies0,0000,000
Communication savante0,0000,001
Science ouverte0,0020,001
Intégrité de la recherche0,0020,003
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,007
Tête enseignante GPT0,216
Écart entre enseignants0,209 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.

Devis d'étudeExpérimental (laboratoire)
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations12
Publié2019
Routes d'admission1
Résumé présentoui

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