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Effects of genotypes and sowing methods on growth, phenology and yield of fonio (Digitaria exilis) in Benin

Part of: AGS Millet Collection

Published online by Cambridge University Press:  25 November 2022

Cyrille Kanlindogbè Open the ORCID record for Cyrille Kanlindogbè [Opens in a new window] ,
Emmanuel Sekloka ,
Moudjaïdou Séïdou  and
Ayouba Tikin Kora
Cyrille Kanlindogbè*
Affiliation:
Laboratory of Phytotechny, Plants Breeding and Protection, Faculty of Agronomy, University of Parakou, BP 123 Parakou, Benin
Emmanuel Sekloka
Affiliation:
Laboratory of Phytotechny, Plants Breeding and Protection, Faculty of Agronomy, University of Parakou, BP 123 Parakou, Benin
Moudjaïdou Séïdou
Affiliation:
Laboratory of Phytotechny, Plants Breeding and Protection, Faculty of Agronomy, University of Parakou, BP 123 Parakou, Benin
Ayouba Tikin Kora
Affiliation:
Laboratory of Phytotechny, Plants Breeding and Protection, Faculty of Agronomy, University of Parakou, BP 123 Parakou, Benin
*
Author for correspondence: Cyrille Kanlindogbè, E-mail: cyrillekanlindogbe@yahoo.fr
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Abstract

Fonio is an identity and orphan cereal of Africa whose production system has remained traditional. This work assessed the responses of selected genotypes of fonio to different sowing methods in Benin from 2018 to 2019. Split plot design with three replicates was used. Four genotypes from mass selection and two control varieties were randomly arranged in four planting modalities (ordinary broadcast sowing, continuous row sowing at inter-rows 20 cm (SLC20) and 25 cm (SLC25) and in seed hole sowing (SP25 × 20)). Agro-morphological data were collected and subjected to variance and multivariate analyses. On all traits, interaction (variety × sowing × year) was not significant. Other interactions (variety × sowing, variety × year, sowing × year) were significant on some morpho-phenological traits. Genotypes AS19-1-1, AS1 and ‘Yoro’ were the earliest, especially AS19-1-1 presenting sowing–heading cycle less of 65 days. Improved genotypes were the most grain yielding mainly AS15-1-1 (1056.5 kg/ha) showing an excess of 405.9 kg/ha compared to control ‘Yoro’ (650.9 kg/ha), the least performing. However, control ‘Iporawan’ was the most yielding in dry matter (>8000 kg/ha). Based on sowing methods, plant density was negatively correlated with tiller number. The best growth and grain yield performances were obtained in broadcast sowing and especially in SLC25 (911.4 kg/ha). Cropping systems in which the new genotypes (AS1, AS13-1, AS15-1-1, 19-6-1-1) sown in continuous rows at 20–25 cm apart, or by broadcasting, were better in terms of grain yield (971.7 kg/ha). These systems constitute cultivation innovation which will enable to optimize fonio production and bring added value.

Keywords

Broadcasting sowingcropping systemsgenotypes from mass selectionorphan cerealrow and hole sowings
Type
Crops and Soils Research Paper
Information
The Journal of Agricultural Science , Volume 161 , Issue 1 , January 2023 , pp. 60 - 75
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Copyright
Copyright © The Author(s), 2022. Published by Cambridge University Press

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References

Abdul, SD and Jideani, AIO (2019) Fonio (Digitaria spp.) breeding. In Al-Khayri, JM, Jain, SM and Johnson, DV (eds), Advances in Plant Breeding Strategies: Cereals. Springer, Cham Switzerland 5. Cham, Switzerland: Springer, pp. 47–81. https://doi.org/10.1007/978-3-030-23108-8.CrossRefGoogle Scholar
Abrouk, M, Ahmed, HI, Cubry, P, Šimoníková, D, Cauet, S, Pailles, Y, Bettgenhaeuser, J, Gapa, L, Scarcelli, N, Couderc, M, Zekraoui, L, Kathiresan, N, Čížková, J, Hřibová, E, Doležel, J, Arribat, S, Bergès, H, Wieringa, JJ, Gueye, M, Kane, NA, Leclerc, C, Causse, S, Vancoppenolle, S, Billot, C, Wicker, T, Vigouroux, Y, Barnaud, A and Krattinger, SG (2020) Fonio millet genome unlocks African orphan crop diversity for agriculture in a changing climate. Nature Communications 11, 1–13.Google Scholar
Adoukonou-Sagbadja, H, Dansi, A, Vodouhe, R and Akpagana, K (2006) Indigenous knowledge and traditional conservation of fonio millet (Digitaria exilis, Digitaria iburua) in Togo. Biodiversity and Conservation 1, 2379–2395.Google Scholar
Adoukonou-Sagbadja, H, Wagner, C, Dansi, A, Ahlemeyer, J, Daïnou, O, Akpagana, K and Friedt, W (2007) Genetic diversity and population differentiation of traditional fonio millet (Digitaria spp.) landraces from different agro-ecological zones of West Africa. Theoretical and Applied Genetics 115, 917–931.Google ScholarPubMed
Akratos, CS, Tekerlekopoulou, AG, Vasiliadou, IA and Vayenas, DV (2017) Chapter 8 – Cocomposting of olive mill waste for the production of soil amendments. In Galanakis, CM (ed.), Olive Mill Waste. Elsevier Inc.: Academic Press, pp. 161–182. https://doi.org/10.1016/B978-0-12-805314-0.00008-X.CrossRefGoogle Scholar
Aliero, AA and Morakinyo, JA (2005) Photoperiodism in Digitaria exilis (Kipp) Stapf accessions. African Journal of Biotechnology 4, 241–243.Google Scholar
Animasaun, D, Awujoola, K, Oyedeji, S, Morakinyo, J and Krishnamurthy, R (2018) Diversity level of genomic microsatellite among cultivated genotypes of Digitaria species in Nigeria. African Crop Science Journal 26, 305–313.10.4314/acsj.v26i2.11CrossRefGoogle Scholar
Ballogou, VY (2013) Systèmes post-récolte, transformation, qualité du fonio et produits dérivés au nord du Bénin (Thèse de Doctorat unique). Faculté des Sciences Agronomiques, Université d'Abomey-Calavi, Bénin, 152p.Google Scholar
Bamba, B, Gueye, M, Badiane, A, Ngom, D and Ka, SL (2019) Effet de la date et de la densité de semis sur la croissance et le rendement en grain du mil tardif [Pennisetum glaucum (L.) R. Br] dans les zones sud est et sud du Sénégal. Journal of Applied Biosciences 138, 14106–14122.Google Scholar
Bioversity International, IRRI and WARDA (2007) Descriptors for Wild and Cultivated Rice (Oryza spp.). Rome, Italy: Bioversity International; Los Baños, Philippines: International Rice Research Institute; Cotonou, Benin: WARDA, Africa Rice Centre, 63p.Google Scholar
Brust, GE (2019) Chapter 9 – Management strategies for organic vegetable fertility. In Biswas, D and Micallef, SA (eds), Safety and Practice for Organic Food. Elsevier Inc.: Academic Press, pp. 193–212. https://doi.org/10.1016/B978-0-12-812060-6.00009-X.CrossRefGoogle Scholar
Cruz, JF, Béavogui, F and Dramé, D (2011) Le fonio, une Céréale Africaine. Quae, CTA, Gembloux, Presses agronomiques de Gembloux, 175p.10.35690/978-2-7592-1040-4CrossRefGoogle Scholar
Dachi, SN, Mamza, WS and Bakare, SO (2017) Growth and yield of acha (Digitaria exilis Kippis Stapf) as influenced by sowing methods and nitrogen rates in the Guinea Savanna area of Nigeria. FULafia Journal of Science & Technology 3, 33–38.Google Scholar
Dagnelie, P (2012) Planification des expériences et analyse de leurs résultats. Principes d'expérimentation, 413p. Available at http://www.dagnelie.be/docpdf/ex2012.pdf.Google Scholar
Dansi, A, Adoukonou-Sagbadja, H and Vodouhe, R (2010) Diversity, conservation and related wild species of fonio millet (Digitaria spp.) in the northwest of Benin. Genetic Resources and Crop Evolution 57, 832–834.Google Scholar
de Mendiburu, F (2019) Agricolae: statistical procedures for agricultural research. R package version 1.3-1. Available at https://CRAN.R-project.org/package=agricolae.Google Scholar
FAOSTAT (2019) Valeur de la Production Agricole du fonio au Bénin et en Afrique de l'Ouest en 2019. Food and Agriculture Organization of the United Nations. Available at https://www.fao.org/faostat/fr/#data/QV (Accessed 15 June 2021).Google Scholar
Fofana, A, Guèye, M, Kanfany, G, Tall, H and Djiba, S (2017) Fiche Technique du Fonio. Série Fiche Technique ISRA, 14.11p. ISSN: 0850-9980.Google Scholar
Gueye, M (2016) Amélioration des techniques de semis, de fertilisation et de récolte du fonio blanc (Digitaria exilis Stapf; Poaceae) au Sénégal (Thèse de Doctorat). Université Cheikh Anta Diop de Dakar, Sénégal, 102p.Google Scholar
Gueye, M, Kanfany, G, Fofana, A, Noba, K and Grove, JH (2015) Effect of planting date on growth and grain yield of fonio millet (Digitaria exilis Stapf) in the southeast of Senegal. International Journal of Biological and Chemical Sciences 9, 581–592.Google Scholar
Hothorn, T, Bretz, F and Westfall, P (2008) Simultaneous inference in general parametric models. Biometrical Journal 50, 346–363.10.1002/bimj.200810425CrossRefGoogle ScholarPubMed
Jagadish, SK (2020) Heat stress during flowering in cereals – effects and adaptation strategies. New Phytologist 226, 1567–1572.Google ScholarPubMed
Jideani, IA (1999) Traditional and possible technological uses of Digitaria exilis (acha) and Digitaria iburua (iburu): a review. Plant Foods for Human Nutrition 54, 363–374.Google ScholarPubMed
Jideani, IA and Jideani, VA (2011) Developments on the cereal grains Digitaria exilis (acha) and Digitaria iburua (iburu). Journal of Food Science and Technology 48, 251–259.Google ScholarPubMed
Kamenya, SN, Mikwa, EO, Song, B and Odeny, DA (2021) Genetics and breeding for climate change in orphan crops. Theoretical and Applied Genetics 134, 1787–1815.10.1007/s00122-020-03755-1CrossRefGoogle ScholarPubMed
Kanfany, G, Gueye, M, Sarr, D, Noba, K, Sall, M and Ndiaye, M (2016) Agronomic constraints to the development of fonio millet (Digitaria exilis Stapf) in Senegal. In Hall R and Rudebjer P (eds), 3rd International Conference on Neglected and Underutilized Species (NUS): For a Food-Secure Africa. Accra, Ghana, 25–27 September 2013. Proceedings. Bioversity International, Rome, Italy and International Foundation for Science, Stockholm, Sweden, pp. 1–7. Available at https://www.cabdirect.org/cabdirect/abstract/20173265181.Google Scholar
Kanlindogbè, C, Sekloka, E, Zinsou, A and Natta, A (2020 a) Diversité des techniques et pratiques culturales du fonio (Digitaria exilis [Kippist] Stapf) en Afrique de l'Ouest (synthèse bibliographique). Biotechnologie, Agronomie, Société, Environnement 24, 192–202.Google Scholar
Kanlindogbè, C, Sekloka, E, Achigan-Dako, E and Kwon-Ndung, E (2020 b) Mass selection of fonio landraces (Digitaria exilis Stapf.) grown in Benin: pathway, homogeneity assessment and genotypes screening. Plant Breeding, 1–15. https://doi.org/10.1111/pbr.12876.Google Scholar
Kanlindogbè, C, Sekloka, E, Ayelesso, R, Zinsou, V and Natta, A (2020 c) Evaluation participative de types et écartements de semis en culture de fonio dans la commune de Boukombe, nord-ouest du Benin. European Scientific Journal 16, 211–223.Google Scholar
Kassambara, A and Mundt, F (2019) Factoextra: extrac and visualize the results of multivariate data analyses. R package version 1.0.6. Available at https://CRAN.R-project.org/package=factoextra.Google Scholar
Khalid, MK (2017) Environmental and genotypic effects on bulb development in onion – a review. The Journal of Horticultural Science and Biotechnology 92, 448–454.Google Scholar
Le, S, Josse, J and Husson, F (2008) FactoMineR: an R package for multivariate analysis. Journal of Statistical Software 25, 1–18.10.18637/jss.v025.i01CrossRefGoogle Scholar
Lenth, R (2022) emmeans: estimated marginal means, aka least-squares means. R package version 1.7.5. Available at https://CRAN.R-project.org/package=emmeans.Google Scholar
Mabhaudhi, T, Chimonyo, VGP, Hlahla, S, Massawe, F, Mayes, S, Nhamo, L and Modi, AT (2019) Prospects of orphan crops in climate change. Planta 250, 695–708.CrossRefGoogle ScholarPubMed
Olesen, JE, Børgesen, CD, Elsgaard, L, Palosuo, T, Rötter, RP, Skjelvåg, AO, Peltonen-Sainio, P, Börjesson, T, Trnka, M, Ewert, F, Siebert, S, Brisson, N, Eitzinger, J, van Asselt, ED, Oberforster, M and van der Fels-Klerx, HJ (2012) Changes in time of sowing, flowering and maturity of cereals in Europe under climate change. Food Additives & Contaminants: Part A 29, 1527–1542.CrossRefGoogle ScholarPubMed
Paraïso, AA, Zoclanclounou, A, Sekloka, E, Batamoussi, HM, Akogbeto, F, Batawila, K, Glitho, AI and Sanni, A (2016) Analysis of fonio, Digitaria exilis Stapf. production in Northwest Benin, West Africa. International Journal of Advanced Research in Biological Sciences 3, 113–122.Google Scholar
Portères, R (1955) Les céréales mineures du genre Digitaria en Afrique et en Europe. Journal d'agriculture tropicale et de botanique appliquée 7–9, 349–386.CrossRefGoogle Scholar
R Core Team (2021) R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing. Available at https://www.R-project.org/.Google Scholar
Sani, IS, Inoussa, MM, Mainassara, ZA, Sanoussi, A, Barnaud, A, Billot, C, Bakasso, Y, Mahamane, A and Saadou, M (2017) Effet de l'environnement sur les paramètres de croissance et de rendement des accessions du fonio [Digitaria exilis (Kippist.) Stapf.] au Niger. Revue Ivoirienne des Sciences et Technologie 29, 87–106.Google Scholar
Sekloka, E, Adoukonou-sagbadja, H, Paraïso, AA, Yoa, BK, Bachabi, F and Zoumarou-wallis, N (2015) Evolution de la diversité des cultivars de fonio pratiqués dans la commune de Boukoumbé au Nord-Ouest du Bénin. International Journal of Biological and Chemical Sciences 9, 2446–2458.CrossRefGoogle Scholar
Sekloka, E, Kanlindogbè, C, Biaou, SSH, Adoukonou-Sagbadja, H, Kora, A, Motouama, TF, Seidou, M, Zinsou, VA, Afouda, L and Baba-Moussa, L (2016) Agro-morphological characterization of millet fonio accessions (Digitaria spp. Stapf.) collected in commune of Boukoumbé northwest of Benin. Journal of Plant Breeding and Crop Sciences 8, 211–222.Google Scholar
Siéné, LAC, Traoré, MS, Doumbouya, M, Kouadio, AFB, Makadji, S and Zingbé, GE (2020) Évaluation de l'effet de trois modes de semis sur la croissance et la productivité du fonio (Digitaria exilis (Kippist) Stapf) dans la commune de Korhogo en Côte d'Ivoire. International Journal of Innovation and Scientific Research 50, 138–147.Google Scholar
Sinsin, B and Kampmann, D (2010) Biodiversity Atlas of West Africa, Volume I: Benin. Cotonou & Frankfurt/Main.Google Scholar
Soomro, UA, Rahman, MU, Odhano, EA, Gul, S and Tareen, AQ (2009) Effects of sowing method and seed rate on growth and yield of wheat (Triticum aestivum). World Journal of Agricultural Sciences 5, 159–162.Google Scholar
Sungthongwises, K and Sornpha, W (2020) Increasing yield of Vigna radiata (L.) cv. Chai Nat 72 with suitable sowing spacing. Asian Journal of Crop Science 12, 170–174.CrossRefGoogle Scholar
Taylor, JRN (2017) Millets: their unique nutritional and health-promoting attributes. In Taylor, JRN and Awika, JM (eds), Gluten-Free Ancient Grains. Elsevier Ltd., Woodhead Publishing Series in Food Science, Technology and Nutrition, pp. 55–103. https://doi.org/10.1016/B978-0-08-100866-9.00004-2.CrossRefGoogle Scholar
Traore, D, Ndoye, A, Hamaker, BR, Stoecker, B, Betts, N and Guiro, AT (2009) Food forms and beta glucans contents in sorghum, fonio and rice can influence their glycemic indexes. FASEB Journal 23, 563–528.CrossRefGoogle Scholar
Vall, E, Andrieu, N, Beavogui, F and Sogodogo, D (2011) Les cultures de soudure comme stratégie de lutte contre l'insécurité alimentaire saisonnière en Afrique de l'Ouest: le cas du fonio (Digitaria exilis Stapf). Cahiers Agricultures 20, 294–300.Google Scholar
Vodouhè, SR and Achigan Dako, EG (2006) Digitaria exilis (Kippist) Stapf. In Brink, M and Belay, G (eds), PROTA (Plant Resources of Tropical Africa/Ressources végétales de l'Afrique tropicale). Wageningen, Netherlands. Available at http://uses.plantnetproject.org/f/index.php?title=Digitaria_exilis_(PROTA)&oldid=95268 (Accessed 9 July 2018).Google Scholar
Wickham, H (2016) ggplot2: Elegant Graphics for Data Analysis. Cham, New York: Springer-Verlag New York. Available at https://ggplot2.tidyverse.org.CrossRefGoogle Scholar