Issue |
BIO Web Conf.
Volume 123, 2024
The 1st International Seminar on Tropical Bioresources Advancement and Technology (ISOTOBAT 2024)
|
|
---|---|---|
Article Number | 01034 | |
Number of page(s) | 15 | |
Section | Agriculture, Animal Sciences, Agroforestry, and Agromaritime Innovation | |
DOI | https://doi.org/10.1051/bioconf/202412301034 | |
Published online | 30 August 2024 |
Analyzed of Single Nucleotide Polymorphisms (SNPs) of Sengon (Falcataria falcata) Tolerant and Intolerant to Boktor Pests (Xystrocera festiva)
Departement of Silviculture, Ulin St. IPB Dramaga Campus, Bogor 16680, Indonesia
* Corresponding author ulfahjs@apps.ipb.ac.id
Sengon is fast growing legume tree that is widely cultivated by community, however threathened by pest attacks, especially Boktor stem borer. This study aims to evaluate the growth of Sengon progeny testing planted in Kediri, under Perhutani State Forest Company, and analyze the relationship between Single Nucleotide Polymorphisms (SNP) markers and the phenotypes regarding their tolerance and intolerance to Boktor pests. The sample consisted of tolerant (R28, R29, R30, R33, and R47) and intolerant (S13, S21, S22, S24, and S25) accessions, with 4 individual replicates for each accession. All samples were genotyped using 4 SNP primers, i.e AAI1, AAI2, TI1 and TI2 applying the High-Resolution Melting (HRM) method at the Forest Genetics Laboratory and Advance Research Laboratory of IPB University. Phenotypic data were analyzed using the Mann-Whitney test, while SNP genotypes were assessed using Chi-square test, visualized in a Manhattan plot, and Principal Component Analysis (PCA). The disease severity of tolerant and intolerant accessions were 84.33% and 79.64% respectively, which were not significantly different. Three SNP primers gave X2 value higher than 5.99 indicated their association with the tolerant and intolerant traits. Therefore, SNP markers can be used to assist the selection program of sengon that is tolerant to Boktor pests.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.