L. Perera

Coconut Research Institute

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Joanne Russell

James Hutton Institute

Muditha K. Meegahakumbura

Kunming Institute of Botany

Jim Provan

Institute of Biological, Environmental and Rural Sciences

W. Powell

Scotland's Rural College

H. D. M. A. C. Dissanayaka

Coconut Research Institute

Chandana Samarasinghe

Coconut Research Institute

T. A. Mansfield

Lancaster University

Ryutaro Tateishi

Chiba University

S. A. C. N. Perera

University of Peradeniya

Steve W. Adkins

Agriculture and Food

Cooperative Institutions

Coconut Research Institute

State University of Norte Fluminense

Brazilian Agricultural Research Corporation

Centre de Coopération Internationale en Recherche Agronomique pour le Développement

Agriculture and Food

Institut Agro Montpellier

University of Queensland

Milliman (United States)

University of Peradeniya

Chiba University

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Leyte disaster, background and some clues to upgrade disaster mitigation plans

L. Perera Takahiko Furuya

The landslide disaster that occurred in Leyte Island, the Philippines, last February, killed about 1,100 or nearly all residents in Guinsaugon village. About 500 mm of extensive rains within first two weeks of February became the prime reason for the landslide. Experts say Leyte has a high vulnerability for landslides due to heavy rainfall, geological instability, and forest degradation in mountain slopes. In this research, some background information such as,cloud images, earthquake data, after disaster ASTER satellite image, and land cover information, are analyzed to explain possible gains for the disaster. Furthermore, research emphasizes the importance of finer rainfall observation network in landslide prone areas to upgrade the accuracy of numerical model weather forecasts

Vulnerability

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Sri Lanka Brown Dwarf (SLBD) coconuts: a potential coconut variety for future breeding

Plant Genetic Resources Newsletter (2002)

L. Perera Renick R. Peries M. H. L. Padmasiri

Sri lanka

Cocos nucifera

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Global Four-minute Land Cover Data Set.

Journal of the Japan society of photogrammetry and remote sensing (1997)

Ryutaro Tateishi Cheng-Gang Wen L. Perera

Reliable global land cover information is necessary for global change studies and global/continental land use management and planning. In order to meet this needs, global four-minute grid land cover data set was produced using global 8-km 10-days composite AVHRR NDVI data for one year in 1990. The data set production was performed by the following steps. (1) A new land cover classification system with hierarchical structure was proposed. (2) Ground truth data base of four-minute resolution was prepared with ground truth source information. (3) Combined classification method was applied using ground truth data, extended ground truth data, and a result of binary decision tree method.The produced land cover data set and ground truth data set is available from the authors.

Ground truth

Land Cover

Data set

10.4287/jsprs.36.4_62

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Identification of Forest Cover Changes by Landsat MSS Data and Environmental Effects of Such Changes in Central South Sri Lanka.

Journal of Geography (Chigaku Zasshi) (1992)

L. Perera Kiyoshi Tsuchiya Hiromichi Toyota

Based on Landsat MSS data of 1977 and 1987 together with in situ surveys, landcover and landuse maps are made for the central southern part of Sri Lanka then the change of landcover and deforestation in 10 years period is estimated. The change amounts to 16 % decrease in evergreen forests, 39 % increase in scrublands and 63 % decrease in open water areas.Analyses of 30 yeras monthly and annual mean precipitation and air temperature data collected from the surrounding observing stations indicate a complicated distribution pattern with a fairly large variability in case of precipitation while in case of air temperature 5 years moving average of the annual air temperature indicates a steady increase. These facts well coincide with the villagers perception on the natural environments.

Deforestation

Shrubland

Land Cover

Sri lanka

Evergreen forest

10.5026/jgeography.101.4_307

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Vegetation Distribution Obtained from Landsat MSS Data in Central Southern Sri Lanka

Journal of Geography (Chigaku Zasshi) (1992)

L. Perera Kiyoshi Tsuchiya Hiromichi Toyota

This is a photo journal type of publication published parallel to other related studies. Colour content publication was a rare opportunity for researchers in early 1990s.

Sri lanka

10.5026/jgeography.101.4_plate7

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Characterization of Genetic Diversity Using Molecular Markers

Compendium of plant genomes (2021)

L. Perera R. Manimekalai

Cocos nucifera

Germ plasm

Molecular marker

Arecaceae

10.1007/978-3-030-76649-8_5

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Use of microsatellite DNA markers to investigate the level of genetic diversity and population genetic structure of coconut (Cocos nucifera L.)

Genome (2000)

L. Perera Joanne Russell Jim Provan W. Powell

We have used eight pairs of simple sequence repeat (SSR) primers to analyse the genetic diversity in 130 individuals of coconut (Cocos nucifera L.) comprising 75 tall individuals and 55 dwarf individuals, representing 94 different coconut ecotypes throughout the world. A total of 51 alleles were detected, with an average of 6.4 alleles per locus. Fifty alleles were detected in tall coconuts (talls; mean alleles/locus 6.3) compared with only 26 (mean/locus 3.3) in dwarfs, and the average diversity value in talls (0.589) was also significantly higher than that in dwarfs (0.348). Using the eight SSRs we were able to uniquely discriminate 116 of the 130 individuals. A phenetic tree based on DAD (absolute distance) values clustered individuals into five groups, each mainly composed of either talls or dwarfs. These results provide evidence in support of previous hypotheses concerning the dissemination of coconut, as well as important new information for conservation and breeding purposes.

Cocos nucifera

Ecotype

Genetic distance

10.1139/g99-079

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Citations (117)

Assessing genetic diversity of coconut (Cocos nucifera L.) using molecular markers

L. Perera

Cocos nucifera

Source

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Origin, Domestication, Dissemination and Genetic Diversity of Coconut: DNA information

CORD (2001)

L. Perera

Information on origin, dissemination and levels and distribution of genetic diversity in coconuts will allow plant breeders and conservationists to select better breeding materials and formulate appropriate conservation strategies. PCR-based DNA profiling of coconut palms from Sri Lanka was initially conducted using both Amplified Fragment Length Polymorphism (AFLPs) and Microsatellites (SSRs). Thirty-nine microsatellite primers specific to coconut were developed by small insert genomic library construction. Eighteen of those primers were used to analyze the same set of Sri Lankan coconut materials. Overall, the results generated by both AFLPs and SSRs were in agreement. Most diversity was found in the tall variety (Typica) (0.92 and 0.62 for AFLPs and SSRs, respectively) rather than the intermediate (Aurantiaca) and dwarf (Nana) varieties (0.82 and 0.25 for AFLPs and SSRs, respectively). A hierarchical analysis of molecular variance (AMOVA) based on AFLP data was used to quantify and partition levels of variability between and within form components. This revealed that for the inbreeding dwarf and intermediate forms most variation was observed between rather than within forms. In contrast, the out-breeding tall forms exhibited as much variation within as between forms.

10.37833/cord.v17i01.347

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Citations (2)

Correction to: In Situ and Ex Situ Conservation of Coconut Genetic Resources

Springer eBooks (2021)

Roland Bourdeix Steve W. Adkins Vincent Johnson L. Perera Sisunandar Sisunandar

Ex situ conservation

In situ conservation

Genetic Resources

10.1007/978-3-030-44988-9_13

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