Abstract

Coconut grows in the tropics mainly in coastal areas at low altitudes, in environments of high humidity and high temperatures. Its oil is characterized by a relatively high melting point, narrow melting range, absence of unpleasant odour and a certain resistance to oxidation and rancidity. Coconut oil is rich in short-chain fatty acids and exhibits very good digestibility. In addition to its food uses, coconut oil is widely used as an industrial vegetable oil. Because of its multitude uses it has been termed as “one of nature’s greatest gifts to mankind” and also as “the Tree of Life.”

Coconut (Cocos nucifera L.) is a monocot belonging to the family Arecaceae, subfamily Cocoideae and is the sole species of the genus Cocos. Coconut possesses a diploid genome with 16 pairs (2n = 2x = 32) of chromosomes. Classifications proposed identify two main varieties of coconut, tall or typica and dwarf or nana. Tall is the commercially viable variety while dwarf has been used extensively in genetic improvement for producing hybrid coconuts.

High nut yield has been the primary objective of coconut breeding followed by precocity, low stature and the tolerance to biotic and abiotic stresses. Coconut breeding is hindered by a number of factors such as long generation interval, cross pollination breeding behaviour of tall coconuts resulting in highly heterogenous populations, low number of seeds produced per palm and the lack of a viable vegetative propagation method. Mass selection and hybridization have been the widely used breeding methods of improvement and at present the majority of the genetically improved coconut plantations have been derived through mass selection. The hybrids between tall and dwarf types have become popular due to their higher nut yields, precocity and the lower stature compared with tall coconuts. Biotechnology offers prospects to overcome some of the inherent constraints in coconut breeding. Molecular marker systems such as RAPD, AFLP, SSRs and DArT have been used extensively for the genetic diversity studies and development of several genetic linkage maps.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
GBP 19.95
Price includes VAT (United Kingdom)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
GBP 143.50
Price includes VAT (United Kingdom)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
GBP 179.99
Price includes VAT (United Kingdom)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free ship** worldwide - see info
Hardcover Book
GBP 179.99
Price includes VAT (United Kingdom)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free ship** worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  • Anonymous (1988) Rapport scientifique cocotier. Station Cocotier Marc Delorme Institut de Recherches pour les huiles et Oleagineux, Cote d’ Ivoire, 217pp

    Google Scholar 

  • Anonymous (2007) Coconut statistical year book. Asian and Pacific Coconut Community, Indonesia, pp 1–7

    Google Scholar 

  • Ashburner GR, Thompson WK, Halloran GM (1997) RAPD analysis of South Pacific coconut palm populations. Crop Sci 37:992–997

    Article  Google Scholar 

  • Bandaranayake CK, Kearsey MJ (2005) Genome map**, QTL analysis and MAS: Importance, principle, constraints and application in coconut. Int Plant Genet Resour Newsl 142:47–54

    Google Scholar 

  • Banzon JA (1977) Industrial coconut research and development. Philipp J Coconut Stud 2:13–17

    Google Scholar 

  • Batugal PV, Bourdeix R (2005) Conventional coconut breeding. In: Batugal PA, Ramanatha Rao V, Oliver J (eds) Coconut Genetic Resources. International Plant Genetic Resources Institute – Regional Office for Asia, the Pacific and Oceania (IPGRI-APO), Serdang, Selangor DE, Malaysia

    Google Scholar 

  • Baudouin L, Lebrun P (2002) The development of a microsatellite kit and dedicated software use with coconuts. Burotrop Bull 17:16–20

    Google Scholar 

  • Baudouin L, Lebrun P, Konan JL, Ritter E, Berger A, Billottee N (2006) QTL analysis of fruit components in the progeny of a Rennell Island Tall coconut (Cocos nucifera L.) individual. Theor Appl Genet 112:258–268

    Article  PubMed  CAS  Google Scholar 

  • Bawalan DD, Chapman KR (2006) Virgin coconut oil; production manual for macro- and village-scale processing. FAO, Thammada Press, Bangkok

    Google Scholar 

  • Bourdeix R (1988) Effectiveness of mass selection on the yield component of coconut. Oleagineux 43:283–295

    Google Scholar 

  • Bourdeix R (1999) Coconut selection and breeding. In: Ohler JG (ed) Modern coconut management. Intermediate Technology Publications, London, pp 117–196

    Google Scholar 

  • Bourdeix R, Pierre NY, Sangare A (1998) Coconut breeding programme in Cote d’Ivoire. In: Batugal PA, Ramanatha Rao V (eds) Coconut breeding. Papers presented at a workshop on standardization of coconut breeding research techniques

    Google Scholar 

  • Chan JL, Saenz L, Talavera C, Hornung R, Robert M, Oropeza C (1998) Regeneration of coconut (Cocos nucifera L.) from plumule explants through somatic embryogenesis. Plant Cell Rep 17:515–521

    Article  CAS  Google Scholar 

  • Dassanayake PN (2003) Use of molecular markers for enhancing the coconut breeding strategy. Ph.D. thesis, University of Sri Jayawardenepura, Sri Lanka

    Google Scholar 

  • Dassanayake PN, Everard JMDT, Karunanayake EH, Nandadasa HG (2003) Characterization of coconut germplasm by microsatellite markers. Trop Agric Res 15:51–61

    Google Scholar 

  • Duran Y, Rohde W, Kullaya A, Goikoetxea P, Ritter E (1997) Molecular analysis of east African Tall coconut genotypes by DNA marker technology. J Genet Breed 51:279–288

    CAS  Google Scholar 

  • Everard JMDT (1996) Use of molecular markers for breeding of the coconut palm (Cocos nucifera L.). M.Sc Thesis, University of New England, Armidale

    Google Scholar 

  • Fredmond Y, Ziller R, de Nuce de Lamothe M (1966) Le cocotier. Maisonneuve and Larose, Paris

    Google Scholar 

  • Fernando SC, Verdeil JL, Hocher V, Weerakoon LK, Hirimburegama K (2003) Histological analysis of plant regeneration from plumule explants of Cocos nucifera. Plant Cell Tissue Organ Cult 72:281–284

    Article  Google Scholar 

  • Gangolly SR, Satyabalan K, Pandalai KM (1957) Varieties of coconut. Indian Coconut J X:3–28

    Google Scholar 

  • Harries HC (1978) The evolution, dissemination and classification of Cocos nucifera L. Bot Rev 44:205–317

    Article  Google Scholar 

  • Herran A, Estioko L, Becker D, Rodriguez MJB, Rohde W, Ritter E (2000) Linkage map** and QTL analysis in coconut (Cocos nucifera L.). Theor Appl Genet 101:292–300

    Article  CAS  Google Scholar 

  • Jones LH (1991) Perennial vegetable oil crop. In: Persely GJ (ed) Agricultural biotechnology: opportunities for international developments. Commonwealth Agricultural Bureaux International, Wallingford, pp 213–224

    Google Scholar 

  • Kearsey MJ, Luo ZW (2003) Map**, characterization and deployment of quantitative trait loci. In: Newbury HJ (ed) Plant molecular breeding. Blackwell, Oxford, pp 1–29

    Google Scholar 

  • Kuittinen H, Mattila A, Savolainen O (1997) Genetic variation at marker loci and in quantitative traits in natural populations of Arabidopsis thaliana. Heredity 79:144–152

    Article  PubMed  Google Scholar 

  • Lansing SJ (1985) Chemical interesterification of palm, palm kernel and coconut oil. J Am Oil Chem Soc 62:400–405

    Article  Google Scholar 

  • Le Saint JP, de Nuce de Lamothe M (1987) Les hybrides de cocotiers nains: Performance et interet. Oleagineux 42(10):353–362

    Google Scholar 

  • Lebrun P, N’Cho NP, Seguin M, Grivet L, Baudouin L (1998) Genetic diversity in coconut (Cocos nucifera L.) revealed by restriction fragment length polymorphism (RFLP) markers. Euphytica 101:103–108

    Article  CAS  Google Scholar 

  • Lebrun P, N’Cho YP, Bourdeix R, Baudouin L (1999) Le cocotier. In: Hamon P, Seguin M, Perrier X, Glaszmann JC (eds) Diversité génétique des plantes cultivées. CIRAD, Montpellier, pp 219–240

    Google Scholar 

  • Lebrun P, Baudouin L, Bourdeix R, Louis Konan J, Barker JHA, Aldam C, Herran A, Ritter E (2001) Construction of a linkage map of the Rennell Island Tall coconut type (Cocos nucifera L.) and QTL analysis for yield characters. Genome 44:962–970

    PubMed  CAS  Google Scholar 

  • Liyanage DV (1955) Planting materials for coconut. Ceylon Coconut Q 6:75–80

    Google Scholar 

  • Liyanage DV (1958) Varieties and forms of coconut palms grown in Ceylon. Ceylon Coconut Q 9:1–10

    Google Scholar 

  • Liyanage DV (1972) Production of improved coconut seeds by hybridization. Oleagineux 27(12):597–599

    Google Scholar 

  • Mackay TFC (2001) The genetic architecture of quantitative traits. Annu Rev Genet 35:303–339

    Article  PubMed  CAS  Google Scholar 

  • Marcus JG, Puri PS (1978) Manufactured hard butters. J Am Oil Chem Soc 55:610A–612A

    Article  CAS  Google Scholar 

  • Marikkar JMN, Jayasundara JMMA, Prasadika SAH, Jayasingha CVL, Premakumara GAS (2007) Assessment of stability of virgin coconut oil during deep frying. CORD 23(1):62–70

    Google Scholar 

  • Marquez-Cedillo LA, Hayes PM, Kleinhofs A, Legge WG, Rossnagel BG, Sato K, Ullrich SE, Wesenberg DM (2001) QTL analysis of agronomic traits in barley based on the doubled haploid progeny of two elite North American varieties representing different germplasm groups. Theor Appl Genet 103:625–637

    Article  CAS  Google Scholar 

  • Meegahakumbura MGMK, Perera L, Perera SACN, Padmasiri MHL, Chandrasiri SAS (2008) Production of D x D hybrids, annual report. Coconut Research Institute, Lunuwila

    Google Scholar 

  • Meerow AW, Wisser RJ, Brown JS, Kuhn DN, Schnell RJ, Broschat TK (2003) Analysis of genetic diversity and population structure within Florida coconut (Cocos nucifera L.) germplasm using microsatellite DNA, with special emphasis on the Fiji Dwarf cultivar. Theor Appl Genet 106:715–726

    PubMed  Google Scholar 

  • Menon KPV, Pandalai KM (1958) The coconut, a monograph. Indian Central Coconut Committee, India, pp 86–102

    Google Scholar 

  • Nair RV, Thomas RJ, Jacob PM, Thomas GV (2009) Kalparaksha, a new coconut variety, Resistance to Root (wilt) Disease. Indian Coconut J 52:14–38

    Google Scholar 

  • Narayana GV, John CM (1949) Varieties and forms of coconut. Madras Agric J 36:349–366

    Google Scholar 

  • Perera SACN (2010) QTL analysis in coconut via Genome map**; Principles, requirements and prospects, Cocos, Journal of the Coconut Research Institute of Sri Lanka. pp 1–9

    Google Scholar 

  • Perera SACN, Kilian A (2008) Diversity arrays technology: a high throughput molecular marker system for coconut. Pragna (IFS Newsl Sri Lanka) xix(1 Special Issue):60–64

    Google Scholar 

  • Perera L, Russell JR, Provan J, McNicol JW, Powell W (1998) Evaluating genetic relationships between indigenous coconut (Cocos nucifera L.) accessions from Sri Lanka by means of AFLP profiling. Theor Appl Genet 96:545–550

    Article  CAS  Google Scholar 

  • Perera L, Russell JR, Provan J, Powell W (1999) identification and characterization of microsatellites in coconut (Cocos nucifera L.) and the analysis of coconut populations in Sri Lanka. Mol Ecol 8:344–346

    PubMed  CAS  Google Scholar 

  • Perera L, Russell JR, Provan J, Powell W (2000) Use of microsatellite DNA markers to investigate the level of genetic diversity and population genetic structure of coconut (Cocos nucifera L.). Genome 43:15–21

    PubMed  CAS  Google Scholar 

  • Perera L, Russell JR, Provan J, Powell W (2001) Levels and distribution of genetic diversity of coconut (Cocos nucifera L., var Typica, form typica) from Sri Lanka assessed by microsatellite markers. Euphytica 122:381–389

    Article  Google Scholar 

  • Perera L, Russell JR, Provan J, Powell W (2003) Studying genetic relationships among coconut varieties/populations using microsatellite markers. Euphytica 132:121–123

    Article  CAS  Google Scholar 

  • Perera L, Fernando WBSF, Hearth N, Fernando A, Russell J, Provan J, Powell W (2004) Use of microsatellite DNA markers for population analysis, variety identification and for hybridity testing of coconut in Sri Lanka. In: Peiris TSG, Ranasinghe CS (eds) Proceedings of the international conference to mark the 75th anniversary of Coconut Research Institute, Sri Lanka. Part II. Ceylon Printers, Colombo

    Google Scholar 

  • Perera L, Meegahakumbura MGMK, Dissanayake HDMAC, Perera SACN (2007) Development of crosses using exotic pollen. Annual report. Coconut Research Institute, Lunuwila

    Google Scholar 

  • Perera SACN, Padmasiri MHL, Fernando AA, Chandrasiri SAS (2008) Breeding for Aceria mite tolerance, annual report. Coconut Research Institute, Lunuwila

    Google Scholar 

  • Philippines Coconut Authority (1979) Technical data handbook on the coconut, its products and by products, a compilation. Philippines Coconut Authority, Quezon City

    Google Scholar 

  • Ritter E, Rodriguez MJB, Herran A, Estioko L, Becker D, Rohde W (2000) Analysis of quantitative trait loci (QTL) based on linkage maps in coconut (Cocos nucifera L.). In: Arencibia A (ed) Plant genetic engineering towards the third millennium. Elsevier Science B.V, Amsterdam, pp 42–48

    Chapter  Google Scholar 

  • Rivera R, Edwards KJ, Barker JHA, Arnold GM, Ayad G, Hodgkin T, Karp A (1999) Isolation and characterization of polymorphic microsatellites in Cocos nucifera L. Genome 42:668–675

    PubMed  CAS  Google Scholar 

  • Rognon F (1976) Biologie florale du cocotier; duree et successiondes phases males et femelles chez divers types de cocotiers. Olieagineux 31:13–18

    Google Scholar 

  • Rohde W, Herran A, Estioko L, Sinje S, Becker D, Kullaya A, Rodriguez MJB, Ritter E (2000) Map** of DNA markers, homeotic genes and QTLs in coconut (Cocos nucifera L.) and synteny studies with oil palm. Proceedings of the International Symposium on Oil Palm Genetic Resources and Utilization. Kuala Lumpur, Malaysia, pp 1–21

    Google Scholar 

  • Santos GA, Rivera RL (2002) Development of genetically enhanced synthetics: status and prospects. Paper presented during the 2nd international Coconut Genebank meeting and consultation on proposed globally coordinated coconut breeding, CPCRI, Kasaragod, India, 30 Oct–1 Nov 2002, 12pp

    Google Scholar 

  • Teulat B, Aldam C, Trehin R, Lebrun L, Barker GM, Karp A, Baudouin L, Rognon F (2000) An analysis of genetic diversity in coconut (Cococs nucifera) populations from across the geographic range using sequence-tagged microsatellites (SSRs) and AFLPs. Theor Appl Genet 100:764–771

    Article  CAS  Google Scholar 

  • Verdeil JL, Hornung R, Jacobsen HJ, Rillo E, Oropeza C, Bourdeix R, N’Cho YP, Hocher V, Hamon S, Sangare A (1999) Recent progress on coconut micropropagation through a joined effort involving different countries. In: Oropeza C, Verdeil J-L, Ashburner GR, Cardena R, Santamaria JM (eds) Current advances in coconut biotechnology. Kluwer Academic, Dordrecht, pp 391–405

    Google Scholar 

  • Whitehead RA (1965) Flowering in Cocos nucifera L. in Jamaica. Trop Agric (Trinidad) 42:19–29

    Google Scholar 

  • Wright H (1980) Commercial hybrid production. In: Fehr WR, Hadley HH (eds) Hybridization of crop plants. The American Society of Agronomy, Wisconsin, p 162

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to S. A. C. N. Perera .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer Science+Business Media, LLC

About this chapter

Cite this chapter

Perera, S.A.C.N. (2012). Coconut. In: Gupta, S. (eds) Technological Innovations in Major World Oil Crops, Volume 1. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-0356-2_8

Download citation

Publish with us

Policies and ethics

Navigation