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Assessment of a New Senegalese Sorghum (Sorghum bicolor (L.) Moench) Collection for Grain Yield and Tolerance to Anthracnose and Grain Molds

DOI: 10.4236/ajps.2025.161001, PP. 1-10

Keywords: Sorghum, Grain Mold, Anthracnose, Yield, Resistance

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Abstract:

Sorghum is an important cereal crop for smallholder farmers’ food security in many countries in West Africa. However, its production has stagnated due to several factors, such as anthracnose and grain molds. Thus, a study was conducted to identify local germplasms that combine high grain yield and resistance to anthracnose and grain molds under Senegalese environments. A set of 256 genotypes was assessed at Sefa, Sinthiou and Kolda research stations using an incomplete blocks design with two replications. Agro-morphological and phytopathological data were collected. The results revealed a huge phenotypic variation between the genotypes for all traits. The flowering time varied from 43 to 126 days after sowing, while the panicle length varied from 10 to 60 cm. The genotypes were generally more productive at Sinthiou (1653 Kg ha1) compared to Kolda (164 kg ha1) research stations. The disease parameters were significantly and positively associated, while the flowering time was strongly and positively associated to grain mold score. The genotypes were classified into three groups with plant height, panicle diameter and length, flowering time and grain mold score as the most discriminating parameters. The genotypes belonging to cluster 3, in addition of being more productive and more resistant to grain mold and anthracnose, have longer panicles. These genotypes present promising prospects for inclusion in breeding programs focused on advancing sorghum yield and disease resistance in Senegal.

References

[1]  Thera, K. (2017) Analyse Des Déterminants Génétiques Contrôlant La Production et La Composition de La Tige Chez Le Sorgho (Sorghum bicolor [L.] Moench). Intégration Des Approches Bi et Multi-Parentales. SupAgro.
[2]  FAO (2023) FAO Database. Statistiques Agricoles.
http://faostat.fao.org
[3]  Diatta, C., Tovignan, T.K., Adoukonou-Sagbadja, H., Aidara, O., Diao, Y., Sarr, M.P., et al. (2019) Development of Sorghum Hybrids for Stable Yield and Resistance to Grain Mold for the Center and South-East of Senegal. Crop Protection, 119, 197-207.
https://doi.org/10.1016/j.cropro.2019.02.001
[4]  ANSD, Agence Nationale de La Statistique et de La Démographie (2014) Recensement Général de La Population et de l’Habitat, de l’Agriculture et de l’Élevage.
[5]  MAER, Ministère de l’Agriculture et de l’Équipement Rural (2012) Catalogue Officiel Des Espèces et Des Variétés Cultivées Au Sénégal. Dakar.
[6]  Diatta, C., Klanvi Tovignan, T., Sine, B., Elohor Ifie, B., Martin Faye, J., Diatta-Holgate, E., et al. (2024) Farmers’ Production Constraints, Preferred Varietal Traits and Perceptions on Sorghum Grain Mold in Senegal. Heliyon, 10, e30221.
https://doi.org/10.1016/j.heliyon.2024.e30221
[7]  Prom, L.K., Sarr, M.P., Diatta, C., Ngom, A., Aïdar, O., Cisse, N., et al. (2020) The Occurrence and Distribution of Sorghum Diseases in Major Production Regions of Senegal, West Africa. Plant Pathology Journal, 20, 1-10.
https://doi.org/10.3923/ppj.2021.1.10
[8]  Diatta, C. (2016) Development of Sorghum (Sorghum bicolor (L.) Moench) for Resistance to Grain Mold in Senegal. West Africa Centre for Crop Improvement.
[9]  Faye, J.M., Maina, F., Akata, E.A., Sine, B., Diatta, C., Mamadou, A., et al. (2021) A Genomics Resource for Genetics, Physiology, and Breeding of West African Sorghum. The Plant Genome, 14, e20075.
https://doi.org/10.1002/tpg2.20075
[10]  Sarr, B., Diouf, O., Diouf, M., Roy-Macauley, H. and Ndjendole, S. (1999) Suivi de l’État Hydrique Du Sol et de La Température Du Couvert de Maïs Au Sénégal. Science et Changements Planétaires/Sécheresse, 10, 129-135.
[11]  Thakur, R.P., Reddy, B.V.S. and Mathur, K. (2007) Screening Techniques for Sorghum Diseases. Information Bulltin N. 76, 1-92.
[12]  Olivoto, T. and Lúcio, A.D. (2020) Metan: An R Package for Multi‐Environment Trial Analysis. Methods in Ecology and Evolution, 11, 783-789.
https://doi.org/10.1111/2041-210x.13384
[13]  Lê, S., Josse, J. and Husson, F. (2008) FactoMineR: An R Package for Multivariate Analysis. Journal of Statistical Software, 25, 1-18.
https://doi.org/10.18637/jss.v025.i01
[14]  Kassambara, A., and Mundt, F. (2020). Package “Factoextra”: Extract and Visualize the Results of Multivariate Data Analyses.
[15]  Sawadogo, N., Nanema, R., Bationo/Kando, P., Traore, R., Nebie, B., Tiama, D., et al. (2015) Évaluation de la diversité génétique des sorghos à grains sucrés (Sorghum bicolor (L.) Moench) du Nord du Burkina Faso. Journal of Applied Biosciences, 84, Article No. 7654.
https://doi.org/10.4314/jab.v84i1.3
[16]  Thakur, R.P., Rao, V.P. and Sharma, R. (2008) Characterization of Grain Mold Resistant Sorghum Germplasm Accessions for Physio-Morphological Traits. Journal of SAT Agricultural Research, 6, 1-7.
[17]  Derese, S.A., Shimelis, H., Mwadzingeni, L. and Laing, M. (2018) Agromorphological Characterisation and Selection of Sorghum Landraces. Acta Agriculturae Scandinavica, Section BSoil & Plant Science, 68, 585-595.
https://doi.org/10.1080/09064710.2018.1448884

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