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BREEDING NEW COTTON VARIETIES TO FIT THE DIVERSITY OF CROPPING CONDITIONS IN AFRICA: EFFECT OF PLANT ARCHITECTURE, EARLINESS AND EFFECTIVE FLOWERING TIME ON LATE-PLANTED COTTON PRODUCTIVITY

Published online by Cambridge University Press:  01 April 2008

EMMANUEL SEKLOKA*
Affiliation:
Centre de Recherche Agricole Coton et Fibres (CRA/CF)/Institut National des Recherches Agricoles du Bénin (INRAB), BP 172, Parakou, Republic of Benin
JACQUES LANÇON
Affiliation:
Centre de Coopération International en Recherche Agronomique pour le Développement (CIRAD) TA 72/09, 34398 Montpellier Cedex 5 (France)
ERIC GOZE
Affiliation:
Centre de Coopération International en Recherche Agronomique pour le Développement (CIRAD) TA 72/09, 34398 Montpellier Cedex 5 (France)
BERNARD HAU
Affiliation:
Centre de Coopération International en Recherche Agronomique pour le Développement (CIRAD) TA 72/09, 34398 Montpellier Cedex 5 (France)
SYLVIE LEWICKI-DHAINAUT
Affiliation:
Centre de Coopération International en Recherche Agronomique pour le Développement (CIRAD) TA 72/09, 34398 Montpellier Cedex 5 (France)
GRÉGOIRE THOMAS
Affiliation:
Ecole Nationale Supérieure Agronomique de Rennes (ENSAR), 65 rue de Saint Brieuc, CS 84215, 35042 Rennes cedex, France
*
Corresponding author: emmanuelsekloka@hotmail.com

Summary

In most cotton-growing regions of West and Central Africa where rainfed conditions prevail, cropping conditions are highly diversified since the crop is planted over an extended period. We studied production and development patterns in 10 cotton (Gossypium hirsutum) varieties to determine the most efficient strategies that could be transformed into breeding traits. Four trials were carried out between 2002 and 2003 in two cotton-growing areas in Benin to compare the 10 varieties at three stand densities and two planting dates. The parameters monitored were the mean first flower opening date (FF), effective flowering time (EFT), plant height at harvest (HH), height to node ratio (HNR), length of fruiting branch (LFB), number of vegetative branches (NVB) and average boll retention at the first position of the fruiting branches (RP1). We identified two ideotypes that yielded better than the others: (i) Mar 88-214 performed well under late planting–high stand density conditions and was characterized by low vegetative growth and early flowering onset, a short flowering period and low RP1; (ii) H 279-1 performed especially well under early planting–low stand density conditions and was characterized by high vegetative growth, late flowering, long EFT and high RP1. We propose a breeding strategy for both ideotypes based on seven indicators with high heritability (FF, HH, HNR, and LFB) or medium heritability (NVB, EFT, and RP1).

Type
Research Article
Copyright
Copyright © Cambridge University Press 2008

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References

REFERENCES

Agresti, A. and Coul, B. (1998). Approximate is better than ‘exact’ for interval estimation of binomial proportions. The American Statistician, 52:119126.Google Scholar
Comstock, R.E. and Robinson, H.F. (1952). Genetic parameters, their estimation and significance. Proceedings 6Th International Grassland Congress, 284–291.Google Scholar
Constable, G. A. (1998). Breeding and cultivar development of cotton for spécific cropping systems. New frontiers in cotton research, Proceedings World Cotton Research Conference- 2, Athens, Greece, 3–9.Google Scholar
Crawley, S., Coskrey, A., Baugh, T. and Lege, K. (2004). Planting date effect on variety performance in the coastal plains in south Carolina. In Proceedings Cotton Beltwide Conference, Memphis, TN (USA), National Cotton Council, 2047.Google Scholar
Galanopoulou-Sendouka, S., Sficas, A. G., Fotiadis, N. A., Gagianas, A. A. and Gerakis, P. A. (1980). Effect of population density, planting date, and genotype on plant growth and development of cotton. Agronomy Journal 72:347353.CrossRefGoogle Scholar
Hau, B. and Goebel, S. (1986). Modifications du comportement du cotonnier en fonction de l'environnement: 1. Evolution de l'architecture de 9 variétés semées à trois écartements. Coton et Fibres Tropicales 41: 165173.Google Scholar
Hau, B., Lançon, J. and Dessauw, D. (2001). Cotton. In Tropical Plant Breeding, 153176 (Eds. Charrier, A., Michek, J., Serge, H. and Dominique, N.) Montpellier, France: CIRAD.Google Scholar
Lançon, J., Klassou, C. and Chanselme, J.L. (1989). Influence de la date de semis sur certaines caractéristiques technologiques de la fibre et de la graine de coton (Gossypium hirsutum L.) au nord Cameroun. In Actes de la 1ère Conférence de la Recherche Cotonnière Africaine, 241251, (Eds. Ministère du Développement rural du Togo, Cirad), Montpellier, France.Google Scholar
Lançon, J., Sekloka, E., Sinha, M. and Djaboutou, M. (2000). Héritabilité de caractères définis par plant mapping. In: Actes des Journées Coton du Cirad, du 17 au 21 juillet 2000, Montpellier, France, 129–136.Google Scholar
Lançon, J., Wery, J., Rapidel, B., Angokaye, M., Gérardeau, E., Gaborel, C., Ballo, D. and Fadegnon, B. (2007). An improved methodology for integrated crop management systems. Agronomy Sustainable Development 27:101110.CrossRefGoogle Scholar
May, O. L. and Bridges, B. C. J. (1995). Breeding cottons for conventional and late-planted production systems. Crop Science 35:132136.Google Scholar
Porter, P.M., Sullivan, M.J. and Harvey, L.H. (1995). Cotton variety by planting date interaction in the Southeast. In Proceedings Cotton Beltwide Conference, 516521 (Ed. Brown, J.M.E.), Memphis, TN (USA), National Cotton Council.Google Scholar
Rosenheim, J.A., Wilhoit, L.R., Goodell, P.B., Grafton-Cardwell, E.E. and Leigh, T.F. (1997). Plant compensation, natural biological control, and herbivory by Aphis gossypii on pre-reproductive cotton: the anatomy of a non-pest. Entomologia Experimentalis et Applicata 85: 4563.CrossRefGoogle Scholar
Sekloka, E., Lançon, J., Hau, B., Gozé, E., Lewicki, S. and Thomas, G. (2007a). A simple method for estimating the end of effective flowering in upland cotton (Gossypium hirsutum L.). Experimental Agriculture 43:163171.CrossRefGoogle Scholar
Sekloka, E., Hau, B., Gozé, E., Lewicki, S., Thomas, G. and Lançon, J. (2007b). Effective flowering time variations in upland cotton (Gossypium hirsutum L.) at different planting dates and stand densities in Benin. Experimental Agriculture 43:173182.CrossRefGoogle Scholar
Tukey-Kramer, C.Y. (1956). Extension of multiple range tests to group means with unequal numbers of replications. Biometrics 12:309310.Google Scholar