Hostname: page-component-cd9895bd7-jn8rn Total loading time: 0 Render date: 2024-12-23T13:20:19.419Z Has data issue: false hasContentIssue false

Development of the core collection through advanced maximization strategy with heuristic approach in cashew (Anacardium occidentale L.)

Published online by Cambridge University Press:  06 March 2018

G. S. Mohana*
Affiliation:
ICAR-Directorate of Cashew Research, Puttur, Dakshina Kannada district, Karnataka State, India
M. G. Nayak
Affiliation:
ICAR-Directorate of Cashew Research, Puttur, Dakshina Kannada district, Karnataka State, India
*
*Corresponding author. E-mail: [email protected]

Abstract

ICAR-Directorate of Cashew Research is the nodal agency for conducting cashew research and manages the largest field gene bank in India. Cashew is a perennial tree and needs more land and other resources to maintain accessions. Conservation through seeds is not feasible because of cross-pollination. Tissue culture efforts to regenerate plants from mature explants are not successful. Therefore, efficient management of the filed gene bank particularly utilization requires designation of the core collection representing the spectrum of diversity present in the entire collection. In this study, a relatively new technique, the advanced M strategy with heuristic approach was deployed to develop the core collection. Sixty-eight morphometric characters of 478 accessions were subjected to analysis resulting in the core collection of 49 accessions. Further, another core collection of same number was constituted by K-Means clustering to compare the efficiency of two approaches. The validation parameters like mean difference, variance difference, coincidence rate, variable rate and class coverage among others were employed for comparative analysis. The results of these parameters revealed that the core collection designated by heuristic approach was better able to efficiently represent and retain the diversity of the entire collection compared with the core identified by clustering approach. Future conservation and breeding efforts will be focused on establishing a separate block in the field gene bank having 49 accessions of cashew core collection.

Type
Research Article
Copyright
Copyright © NIAB 2018 

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

Anonymous (1995) RHS Colour Chart. London, UK: The Royal Horticultural Society.Google Scholar
Bataillon, TM, David, JL and Schoen, DJ (1996) Neutral genetic markers and conservation genetics: simulated germplasm collection. Genetics 144: 409417.Google Scholar
Brown, AHD (1989) Core collections: a practical approach to genetic resources management. Genome 31: 818824.Google Scholar
Brown, AHD (1995) The core collections at the cross roads. In: Hodgkin, T, Brown, AHD, Van Hintum, TJL and Morales, EAV (eds) Core Collections of Plant Genetic Resources. West Sussex, UK: John Wiley and Sons and Rome, Italy: IPGRI.Google Scholar
Chandra, S, Huaman, Z, Hari Krishna, S and Ortiz, R (2002) Optimal sampling strategy and core collection size of Andean tetraploid potato based on isozyme data-a simulation study. Theoretical and Applied Genetics 104: 3251334.Google Scholar
Chung, HK, Kim, KW, Chung, JW, Lee, JR, Lee, SY, Dixit, A, Kang, HK, Zhao, W, McNally, KL, Hamilton, RS, Gwag, JG and Park, YJ (2009) Development of a core Set from a large rice collection using a modified heuristic algorithm to retain maximum diversity. Journal of Integrative Plant Biology 51: 11161125.Google Scholar
Dwivedi, SL, Puppala, N, Upadhyaya, HD, Manivannan, N and Singh, S (2008) Developing a core collection of peanut specific to Valencia market type. Crop Science 48: 625632.Google Scholar
Franco, J, Crossa, J, Taba, S and Shands, H (2003) A multivariate method for classifying cultivars and studying group × environment × trait interaction. Crop Science 43: 12491258.Google Scholar
Frankel, OH (1984) Genetic perspective of germplasm conservation. In: Arber, W, Llimensee, K, Peacock, NJ and Starlinger, P (eds) Genetic Manipulation – Impact of Man and Society. Cambridge, UK: Cambridge University Press, pp. 161170.Google Scholar
Gireesh, C, Husain, SM, Shivakumar, M, Satpute, GK, Kumawat, G, Arya, M, Agarwal, DK and Bhatia, VS (2015) Integrating principal component score strategy with power core method for development of core collection in Indian soybean germplasm. Plant Genetic Resources, available on CJO2015. doi: 10.1017/S1479262115000556.Google Scholar
Gouesnard, B and Bataillon, TM (2001) MSTRAT: an algorithm for building germplasm core collections by maximizing allelic or phenotypic richness. Journal of Heredity 92: 9394.Google Scholar
Gowda, J, Krishanappa, M, Pathak, N, Mathur, PN and Seetharam, A (2013) Use of heuristic approach for the development of a core set from large germplasm collection of foxtail millet (Setaria italica L.) Indian. Journal of Plant Genetic Resources 26: 1318.Google Scholar
Hu, J, Zhu, J and Xu, HM (2000) Methods of constructing core collections by stepwise clustering with three sampling strategies based on the genotypic values of crops. Theoretical and Applied Genetics 101: 264268.Google Scholar
IBPGR (1986) Cashew Descriptors. Rome, Italy: International Board for plant Genetic Resources (presently, International Plant Genetic Resources Institute), p. 33.Google Scholar
Jansen, J and van Hintum, JL (2007) Genetic distance sampling: a novel sampling method for obtaining core collections using genetic distances with an application to cultivated lettuce. Theoretical and Applied Genetics 114: 421428.Google Scholar
Kim, KW, Chung, HK, Cho, GT, Ma, KH, Chandrabalan, D, Gwag, JG, Kim, TS, Cho, EG and Park, YJ (2007) Powercore: a programme applying the advanced M strategy with a heuristic search for establishing core sets. Bioinformatics 23: 21552162.Google Scholar
Krishna, H and Singh, SK (2007) Biotechnological advances in mango (Mangifera indica L.) and their future implication in crop improvement – a review. Biotechnological Advances 25: 223243.Google Scholar
Marita, JM, Rodriguez, JM and Nienhuis, J (2002) Development of an algorithm identifying maximally diverse core collections. Genetic Resources Crop Evolution 47: 515526.Google Scholar
Moe, KT, Gwag, JG and Yong, JP (2012) Efficiency of power core in core Set development using amplified fragment length polymorphic markers in Mungbean. Plant Breeding 131: 110117.Google Scholar
Nayak, MG, Mohana, GS, Bhat, PS, Saroj, PL and Swamy, KRM (2014) Minimum Descriptors of Cashew Germplasm Accessions. Catalogue-IV, Puttur: Directorate of Cashew Research, p. 32.Google Scholar
Nayak, MG, Mohana, GS, Bhat, PS, Saroj, PL, Swamy, KRM and Bhat, MG (2015) Minimum Descriptors of Cashew Germplasm Accessions. Catalogue-V, Puttur: Directorate of Cashew Research, p. 44.Google Scholar
Nei, M (1978) Estimation of average heterozygosity and genetic distance from a small number of individuals. Genetics 89: 583590.Google Scholar
Odong, TL, Jansen, J, van Eeuwijk, FA and van Hintum, TJL (2013) Quality of core collections for effective utilization of genetic resources review, discussion, and interpretation. Theoretical and Applied Genetics 126: 289305.Google Scholar
Peeters, JP and Martinelli, JA (1989) Hierarchical cluster analysis as a tool to manage variation in germplasm collections. Theoritical and Applied Genetics 78: 4248.Google Scholar
Schoen, DJ and Brown, AHD (1993) Conservation of allelic richness in wild crop relatives is aided by assessment of genetic markers. Proceedings of National Academy of Sciences, USA 90: 1062310627.Google Scholar
Shannon, CE and Weaver, W (1949) The Mathematical Theory of Communication. Urbana, IL: University of Illinois Press.Google Scholar
Sturges, H (1926) The choice of a class-interval. Journal of American Statistical Association 21, 6566.Google Scholar
Swamy, KRM, Bhaskara Rao, EVV and Bhat, MG (1997) Catalogue of Minimum Descriptors of Cashew (Anacardium occidentale L.). Germplasm Accessions-I. Puttur, Karnataka: National Research Center for Cashew, p. 41.Google Scholar
Swamy, KRM, Bhaskara Rao, EVV and Bhat, MG (1998) Catalogue of Minimum Descriptors of Cashew (Anacardium occidentale L.). Germplasm Accessions-II. Puttur, Karnataka: National Research Center for Cashew, p. 54.Google Scholar
Swamy, KRM, Bhaskara Rao, EVV and Bhat, MG (2000) Catalogue of Minimum Descriptors of Cashew (Anacardium occidentale L.). Germplasm Accessions-III. Puttur, Karnataka: National Research Center for Cashew, p. 54.Google Scholar
Thimmappaiah, and Shirly, RA (1999) In vitro regeneration of cashew (Anacardium occidentale L.). Indian Journal of Experimental Biology 37: 384390.Google Scholar
Upadhyaya, HD, Ortiz, R, Bramel, PJ and Singh, S (2003) Development of a groundnut core collection using taxonomical, geographical, and morphological descriptors. Genetic Resources and Crop Evolution 50: 139148.Google Scholar
Upadhyaya, HD, Pundir, RPS, Dwivedi, SL, Gowda, CLL, Reddy, VG and Singh, S (2009) Developing a mini core collection of sorghum for diversified utilization of germplasm. Crop Science 49: 17691780.Google Scholar
Vaijayanthi, PV, Ramesh, S, Byre Gowda, M, Mohan Rao, A and Keerthi, CM (2015a) Development of core sets of Dolichos bean (Lablab purpureus L. Sweet) germplasm. Journal of Crop Improvement 29: 405419.Google Scholar
Vaijayanthi, PV, Ramesh, S, Byre Gowda, M, Mohan Rao, A, Gowda, J, Ramappa, HK, Keerthi, CM and Rajendra Prasad, BS (2015b) Development and validation of a core set of Dolichos bean germplasm. International Journal of Vegetable Science 21: 419428.Google Scholar
Supplementary material: File

Mohana and Nayak supplementary material 1

Supplementary Tables

Download Mohana and Nayak supplementary material 1(File)
File 32.6 KB