Hostname: page-component-78c5997874-s2hrs Total loading time: 0 Render date: 2024-11-07T05:19:41.810Z Has data issue: false hasContentIssue false
  • English
  • Français

Status and genetic diversity in pigeonpea germplasm from Caribbean and Central American regions at ICRISAT genebank

Published online by Cambridge University Press:  19 November 2014

H. D. Upadhyaya ,
K. N. Reddy ,
Senthil Ramachandran ,
Vinod Kumar ,
Sube Singh ,
M. Thimma Reddy  and
M. Irshad Ahmed
H. D. Upadhyaya*
Affiliation:
International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Genebank, Patancheru, Telangana502 324, India Department of Agronomy, Kansas State University, Manhattan, KS66506, USA UWA Institute of Agriculture, University of Western Australia, Crawley, WA6009, Australia
K. N. Reddy
Affiliation:
International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Genebank, Patancheru, Telangana502 324, India
Senthil Ramachandran
Affiliation:
International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Genebank, Patancheru, Telangana502 324, India
Vinod Kumar
Affiliation:
International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Genebank, Patancheru, Telangana502 324, India
Sube Singh
Affiliation:
International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Genebank, Patancheru, Telangana502 324, India
M. Thimma Reddy
Affiliation:
International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Genebank, Patancheru, Telangana502 324, India
M. Irshad Ahmed
Affiliation:
International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Genebank, Patancheru, Telangana502 324, India
*
*Corresponding author. E-mail: [email protected]
Get access Rights & Permissions [Opens in a new window]

Abstract

The genebank at the International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, India holds a collection of 542 accessions from the Caribbean and Central American (CCA) regions, of which 424 were evaluated for eight qualitative and 17 quantitative traits at ICRISAT farm. A hierarchical cluster analysis was performed using the scores of the first nine principal components that resulted in four clusters. The accessions of these four clusters exhibited the following good characteristics: cluster 1 had high pod-bearing length and high seed protein content; those of cluster 2 had high degree of branching, large number of pods per plant and high seed yield per plant; those of cluster 3 had long pods; and those of cluster 4 had larger seeds. In the whole collection of accessions, diversity was found to be maximum (H′ = 0.630+0.026) for plant height and minimum for tertiary branches per plant (H′ = 0.259+0.026). The highest correlation coefficient was observed between racemes per plant and pods per plant (r= 0.914) followed by between pods per plant and seed yield per plant (r= 0.744), and between shelling percentage and the harvest index (r= 0.703). In view of the poor representation of the world collection of pigeonpea (13,771 accessions) from the CCA regions, launching of collection missions in these countries has been suggested to fill gaps and increase the variability. Multi-location evaluation of the collections for agronomic traits at potential locations in the CCA regions and systematic evaluation for nutritional traits and resistance to biotic and abiotic stress could result in the identification of useful genotypes, particularly vegetable types, for use in breeding programmes to develop high-yielding cultivars as well as to release as varieties in these regions.

Keywords

collectiondiversitygermplasmvariation
Type
Research Article
Information
Plant Genetic Resources , Volume 13 , Issue 3 , November 2015 , pp. 247 - 255
Copyright
Copyright © NIAB 2014 

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

Faris, DG, Saxena, KB, Mazumdar, S and Singh, Umaid (1987) Vegetable Pigeonpea: A Promising Crop for India. Patancheru, India: International Crops Research Institute for the Semi-Arid Tropics.Google Scholar
Food and Agriculture Organization(2012) ORG/FAOSTAT database. Available at http://www/FAO.Google Scholar
Githiri, SM, Kimani, PM and Saxena, KB (1991) Natural out-crossing in dwarf pigeonpea. Euphytica 53: 37–39.CrossRefGoogle Scholar
IBPGR and ICRISAT(1993) Descriptors for Pigeonpea [Cajanus cajan (L.) Millsp.]. Rome, Italy: International Board for Plant Genetic Resources; Patancheru. India: International Crops Research Institute for the Semi-Arid Tropics, p. 31.Google Scholar
ICRISAT (International Crops Research Institute for the Semi-Arid Tropics)(1978) Annual Report 1977/78. Patancheru: ICRISAT, p. 295.Google Scholar
Keuls, M (1952) The use of the ‘studentized range’ in connection with an analysis of variance. Euphytica 1: 112–122.CrossRefGoogle Scholar
Levene, H (1960) Robust tests for equality of variances. In: Olkin, I (ed) Contributions to Probability and Statistics: Essays in Honour of Harold Hotelling. Stanford, CA: Stanford University Press, pp. 278–292.Google Scholar
Manyasa, EO, Silim, SN, Githiri, SM and Christiansen, JL (2008) Diversity in Tanzanian pigeonpea [Cajanus cajan (L.) Millsp.] landraces and their response to environments. Genetic Resources and Crop Evolution 55: 379–387.CrossRefGoogle Scholar
Morris, JB (1999) Legume genetic resources with novel “value added” industrial and pharmaceutical use. In: Janick, J (ed) Perspectives on New Crops and New Uses. Alexandria, VA: ASHS Press, pp. 196–201.Google Scholar
MS Encarta® Interactive World Atlas(2000) 1995–1999 Microsoft Corporation. Redmond, WA: One Microsoft Way, pp. 98052–106399.Google Scholar
Nene, YL and Sheila, VK (1990) Pigeonpea: geography and importance. In: Nene, YL, Hall, SD and Sheila, VK (eds) The Pigeonpea. Wallingford, OXM OX10 8DE, UK: C.A.B. International, pp. 1–14.Google Scholar
Newman, D (1939) The distribution of range in samples from a normal population expressed in terms of an independent estimate of standard deviation. Biometrika 31: 20–30.CrossRefGoogle Scholar
Plukenet, L (1692) Phytographia 3, table 213, figure 3.Google Scholar
Remanandan, P (1990) Pigeonpea: genetic resources. In: Nene, YL, Hall, SD and Sheila, VK (eds) The Pigeonpea. Wallingford, OXM OX10 8DE. UK: C.A.B. International, pp. 89–115.Google Scholar
Remanandan, P and Singh, L (1997) Pigeonpea. In: Fuccillo, D, Sears, L and Stapleton, Paul (eds) Biodiversity in Trust. The Pitt Building, Trumpington street, Cambridge CB2 1RP. UK: Cambridge University Press.Google Scholar
Shannon, CE and Weaver, W (1949) The Mathematical Theory of Communication. Urbana, IL: University of Illinois Press.Google Scholar
Snedecor, GW and Cochran, WG (1980) Statistical Methods. 7th edn. Ames: Iowa State University Press.Google Scholar
United Nation Environment Programme (UNEP)(2008) Climate Change in the Caribbean and the Challenge of Adaptation. Panama City, Panama: UNEP Regional Office for Latin America and the Caribbean. Printed in Panama City.Google Scholar
Upadhyaya, HD and Gowda, CLL (2009) Managing and Enhancing the Use of Germplasm-Strategies and Methodologies. Technical manual no. 10. Patancheru 502 324. Andhra Pradesh, India: International Crops Research Institute for the Semi-Arid Tropics, p. 236.Google Scholar
Upadhyaya, HD, Pundir, RPS, Gowda, CLL, Reddy, KN and Sube, Singh (2005) Geographical pattern of diversity for qualitative and quantitative traits in the pigeonpea germplasm collection. Plant Genetic Resources: Characterization and Utilization 3: 332–352.CrossRefGoogle Scholar
Upadhyaya, HD, Reddy, KN, Gowda, CLL and Sube, Singh (2010) Identification and evaluation of vegetable type pigeonpea (Cajanus cajan (L.) Millsp.) in the world germplasm collection at ICRISAT genebank. Plant Genetic Resources: Characterization and Utilization 8: 162–170.CrossRefGoogle Scholar
van der Maesen, LJG (1980) India is the native home of the pigeonpea. Landbouwboge school Wageningen Miscellaneous papers 19: 252–262.Google Scholar
van der Maesen, LJG (1986) Cajanus DC and Atylosia W & A (Leguminosae). Agricultural University Wageningen Papers 85-4 (1985). Wageningen, The Netherlands: Agricultural University, p. 225.Google Scholar
van der Maesen, LJG (2006) Cajanus cajan (L.) Millsp. [Internet] Record from Protabase. In: Brink, M and Belay, G (eds) PROTA (Plant Resources of Tropical Africa/Ressources vegetales de l Afrique tropicale), Wageningen, Netherlands. Available at http://database.prota.G/search.htm.Google Scholar
VSN International(2010) GenStat Software for Windows. Release 13.1 . Hemel Hempstead, UK: VSN International Ltd.Google Scholar
Ward, JH (1963) Hierarchical grouping to optimize an objective function. Journal of American statistical Association 58: 236–244.CrossRefGoogle Scholar
Supplementary material: File

Upadhyaya Supplementary Material

Tables S1-S2

Download Upadhyaya Supplementary Material(File)
File 24.9 KB