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Population structure of rice ( Oryza sativa ) landraces under farmer management
Author(s) -
Kumar S.,
Bisht I.S.,
Bhat K.V.
Publication year - 2010
Publication title -
annals of applied biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.677
H-Index - 80
eISSN - 1744-7348
pISSN - 0003-4746
DOI - 10.1111/j.1744-7348.2009.00373.x
Subject(s) - biology , genetic diversity , population , allele , oryza sativa , crop , locus (genetics) , agronomy , microbiology and biotechnology , genetics , demography , sociology , gene
Greater insight into the dynamics of genetic resources of crop plants is needed in order to pinpoint detrimental evolutionary patterns and draw up conservation priorities. The present study demonstrated farmer management of crop population structure and temporal evolution of rice genetic diversity in traditional production systems. The 16 STMS primers analysed for 11 rice landrace populations indicated enough polymorphism to fully differentiate the inter‐ and intrapopulation diversity. A total number of 98 alleles were recorded, of which 91 were common and seven were rare. The mean number of alleles per locus was 6.13 and for different groups of rice landrace populations, namely five populations of upland common landrace Jaulia, three populations of irrigated common landrace Thapachini and one population each of three distinct rare landraces were 4.37, 2.75 and 4.37, respectively. The study also compared genebank‐conserved ( ex situ ) populations and on‐farm‐managed ( in situ ) landrace populations of same named landraces Jaulia and Thapachini, and revealed greater number of alleles per locus for on‐farm‐managed populations as compared to the populations under static management. A substantial number of alleles specific to populations under dynamic management could also be recorded. Further, the rare landrace populations included in the present study were more diverse than the common landrace populations. The rare landraces were distinct genetic entities largely representing locally common alleles. Investigating the population genetic structure is therefore helpful in monitoring change in diversity over time and space, and also for devising a rational plan for management of farmer landraces on‐farm.