Hostname: page-component-8448b6f56d-c4f8m Total loading time: 0 Render date: 2024-04-23T10:46:04.381Z Has data issue: false hasContentIssue false

Assessment of the variability of Senegalese landraces for phenology and sugar yield components to broaden the genetic pool of multi-purpose sorghum

Published online by Cambridge University Press:  02 June 2015

Thierry Klanvi Tovignan*
Affiliation:
Centre d'Etudes Régional pour l'Amélioration de l'Adaptation à la Sécheresse (CERAAS), BP 3320, Route de Khombole, Thiès, Sénégal
Delphine Luquet
Affiliation:
CIRAD, UMR AGAP, F-34398Montpellier, France
Daniel Fonceka
Affiliation:
Centre d'Etudes Régional pour l'Amélioration de l'Adaptation à la Sécheresse (CERAAS), BP 3320, Route de Khombole, Thiès, Sénégal CIRAD, UMR AGAP, F-34398Montpellier, France
Ibrahima Ndoye
Affiliation:
Département de Biologie Végétale, Université Cheikh Anta Diop de Dakar, BP 5005, Dakar, Sénégal
Gilles Trouche
Affiliation:
CIRAD, UMR AGAP, F-34398Montpellier, France
Ndiaga Cisse
Affiliation:
Centre d'Etudes Régional pour l'Amélioration de l'Adaptation à la Sécheresse (CERAAS), BP 3320, Route de Khombole, Thiès, Sénégal
*
*Corresponding author. E-mail: thierryt525@gmail.com

Abstract

Sweet sorghum is highly coveted to contribute and take up food and energy challenges. A collection of 84 West Africa landraces mostly from Senegal and four control cultivars were screened to identify relevant accessions and trait combination for multi-purpose (sugar/grain/biomass). The implication of photoperiod sensitivity was particularly addressed. A total of 20 traits related to phenology, morphology, grain and sugar production were assessed in two sowing dates (July and August) at CNRA Bambey in Senegal. Late sowing resulted in shortened vegetative phase and a significant decrease in traits related to plant size, stem sugar, biomass and grain productions. Broad-sense heritability was moderate to high for most of the phenology, morphology, grain and sugar-related traits, suggesting their interest for breeding. All the traits related to plant size were positively correlated with plant sugar production except plant height. A cluster analysis identified three groups contrasting in their ability to combine sugar, grain or fodder production based on 18 traits measured for the early sowing. Clusters I and III were suitable for one purpose: grain and sugar, respectively. Cluster II was the most suitable for multi-purpose, showing the best trade-off among grain, sugar and vegetative biomass production. The best accessions for stem sugar yield belonged to durra, caudatum and their intermediate types. The relationship between internode size and sweetness should be further studied, in particular exploring their relationship with internode tissue anatomy. Further studies are also needed to evaluate the role that stay-green can play in sugar yield maintenance under post-flowering drought.

Type
Research Article
Copyright
Copyright © NIAB 2015 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Abd El-Razek, AM and Besheit, Y (2009) Potential of some sweet sorghum (Sorghum bicolor L. Moench) varieties for syrup and ethanol production in Egypt. Sugar Tech 11: 239245.Google Scholar
Allard, RW (1960) Principles of Plant Breeding. New York: John Wiley & Sons, Inc, p. 485.Google Scholar
Almodares, A and Darany, SMM (2006) Effects of planting date and time of nitrogen application on yield and sugar content of sweet sorghum. Journal of Environmental Biology 27: 601605.Google Scholar
Bezançon, G, Pham, J-L, Deu, M, Vigouroux, Y, Sagnard, F, Mariac, C, Kapran, I, Mamadou, A, Gérard, B, Ndjeunga, J and Chantereau, J (2009) Changes in the diversity and geographic distribution of cultivated millet (Pennisetum glaucum (L.) R. Br.) and sorghum (Sorghum bicolor (L.) Moench) varieties in Niger between 1976 and 2003. Genetic Resources and Crop Evolution 56: 223236.Google Scholar
Cameron, R and Keppler, JH (2010) Security of energy supply and the contribution of nuclear energy. NEA News 28: 48.Google Scholar
Codesido, V, Vacas, R, Macarulla, B, Gracia, MP and Igartua, E (2013) Agronomic and digital phenotyping evaluation of sweet sorghum public varieties and F1 hybrids with potential for ethanol production in Spain. Maydica 58: 4253.Google Scholar
Datta Mazumdar, S, Poshadri, A, Srinivasa Rao, P, Ravinder Reddy, CH and Reddy, BVS (2012) Innovative use of sweet sorghum juice in the beverage industry. International Food Research Journal 19: 13611366.Google Scholar
Duku, MH, Gu, S and Hagan, EB (2011) A comprehensive review of biomass resources and biofuels potential in Ghana. Renewable and Sustainable Energy Reviews 15: 404415.Google Scholar
Erickson, JE, Helsel, ZR, Woodard, KR, Vendramini, JMB, Wang, Y, Sollenberger, LE and Gilbert, RA (2011) Planting date affects biomass and Brix of sweet sorghum grown for biofuel across Florida. Agronomy Journal 103: 18271833.Google Scholar
Gutjahr, S, Vaksmann, M, Dingkuhn, M, Thera, K, Trouche, G, Braconnier, S and Luquet, D (2013) Grain, sugar and biomass accumulation in tropical sorghums. I. Trade-offs and effects of phenological plasticity. Functional Plant Biology 40: 342354.Google Scholar
Harlan, JR and de Wet, JMJ (1972) A simplified classification of cultivated sorghum. Crop Science 12: 172176.Google Scholar
Kawahigashi, H, Kasuga, S, Okuizumi, H, Hiradate, S and Yonemaru, J (2013) Evaluation of Brix and sugar content in stem juice from sorghum varieties. Grassland Science 59: 1119.Google Scholar
Mace, ES, Tai, S, Gilding, EK, Li, Y, Prentis, PJ, Bian, L, Campbell, BC, Hu, W, Innes, DJ, Han, X, Cruickshank, A, Dai, C, Frère, C, Zhang, H, Hunt, CH, Wang, X, Shatte, T, Wang, M, Su, Z, Li, J, Lin, X, Godwin, ID, Jordan, DR and Wang, J (2013) Whole-genome sequencing reveals untapped genetic potential in Africa's indigenous cereal crop sorghum. Nature communications 4: 19.Google Scholar
Murray, SC, Sharma, A, Rooney, WL, Klein, PE, Mullet, JE, Mitchell, SE and Kresovich, S (2008) Genetic improvement of sorghum as a biofuel feedstock: I. QTL for stem sugar and grain nonstructural carbohydrates. Crop Science 48: 21652179.Google Scholar
Nebie, B, Nanema, RK, Kando, PB, Traore, ER, Labeyrie, V, Sawadogo, N, Sawadogo, M and Zong, J (2013) Variation de caractères agromorphologiques et du Brix d'une collection de sorghos à tige sucrée du Burkina Faso. International Journal of Biological and Chemical Sciences 7: 19191928.CrossRefGoogle Scholar
Olson, SN, Ritter, K, Rooney, W, Kemanian, A, McCarl, BA, Zhang, Y, Hall, S, Packer, D and Mullet, J (2012) High biomass yield energy sorghum: developing a genetic model for C4 grass bioenergy crops. Biofuels, Bioproducts and Biorefining 6: 640655.CrossRefGoogle Scholar
R Core Team, (2013) R: A language and environment for statistical computing. R Foundation for Statistical computing, Vienna, Austria. ( http://www.R-project.org ).Google Scholar
Reddi, SG, Janawade, AD and Palled, YB (2013) Influence of sowing dates on growth, grain and ethanol yield and economics of sweet sorghum. International Journal of Agricultural Sciences and Veterinary Medecine 1: 1217.Google Scholar
Salas Fernandez, MG, Becraft, PW, Yin, Y and Lubberstedt, T (2009) From dwarves to giants? Plant height manipulation for biomass yield. Trends in Plant Science 14: 454461.Google Scholar
Shiringani, AL, Frisch, M and Friedt, W (2010) Genetic mapping of QTLs for sugar-related traits in a RIL population of Sorghum bicolor L. Moench. Theoretical and Applied Genetics 121: 323336.CrossRefGoogle Scholar
Teetor, VH, Duclos, DV, Wittenberg, ET, Young, KM, Chawhuaymak, J, Riley, MR and Ray, DT (2011) Effects of planting date on sugar and ethanol yield of sweet sorghum grown in Arizona. Industrial Crops and Products 34: 12931300.Google Scholar
Traoré, SB, Reyniers, F-N, Vaksmann, M, Kone, B, Sidibe, A, Yorote, A, Yattara, K and Kouressy, M (2000) Adaptation à la sécheresse des écotypes locaux de sorghos du Mali. Sécheresse 11: 227237.Google Scholar
Trouche, G, Aguirre Acuña, S, Castro Briones, B, Gutiérrez Palacios, N and Lançon, J (2011) Comparing decentralized participatory breeding with on-station conventional sorghum breeding in Nicaragua: I. Agronomic performance. Field Crops Research 121: 1928.Google Scholar
Vaksmann, M, Traoré, S and Niangado, O (1996) Le photopériodisme des sorghos africains. Agriculture et Developpement 9: 1318.Google Scholar
Voigt, J, Botha, PR and Gerber, HS (2008) The effect of planting date on the dry matter production of annual forage sorghum hybrids and hybrid millet cultivars. Grassroots: Newsletter of the Grassland Society of Southern Africa 8: 1824.Google Scholar
Zou, G, Yan, S, Zhai, G, Zhang, Z, Zou, J and Tao, Y (2011) Genetic variability and correlation of stalk yield-related traits and sugar concentration of stalk juice in a sweet sorghum (Sorghum bicolor L. Moench) population. Australian Journal of Crop Science 5: 12321238.Google Scholar
Supplementary material: File

Tovignan supplementary material

Tables S1-S4

Download Tovignan supplementary material(File)
File 33 KB