Issue |
E3S Web Conf.
Volume 432, 2023
The 2nd International Conference on Bioenergy and Environmentally Sustainable Agriculture Technology (ICoN BEAT 2021)
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Article Number | 00019 | |
Number of page(s) | 12 | |
DOI | https://doi.org/10.1051/e3sconf/202343200019 | |
Published online | 05 October 2023 |
Characterization and Relationship Analysis of Various Genotypes of Collection Jatropha curcas L. Results of Crosses Based on Leaf Morphology
1 Faculty of Agriculture-Animal Husbandry, University of Muhammadiyah Malang, Jl. Raya Tlogo Mas No. 246 Malang 65144, East Java, Indonesia
2 Center of Biotechnology Development, University of Muhammadiyah Malang, Malang 65144, East Java, Indonesia
3 Department of Agricultural and Food Engineering, Indian Institute of Technology Kharagpur Kharagpur, 721302 West Bengal, India
* Corresponding author: maftuchah@umm.ac.id
Jatropha (Jatropha curcas L.) is a shrub that is easy to grow. This plant has many benefits including as a raw material for biodiesel and has the potential to be developed into a future energy source. This study aims to determine the kinship hybrid numbers based on morphology. The experiment was conducted in Krajan hamlet, Kedung Pengaron village, Kejayen sub-district, Pasuruan district, East Java province. The material genetic used in this study is hybrid number 5 (SP-8 × SP-16), 6 (SP-8 × SP-38), 7 (SP-33 × HS-49), and 18 (SM-35 × SP-38). Observations were made on leaf morphology with scoring, percentage and Munsel Color Chart based on reference Sunil et al. The results showed that there was no difference between the four genotypes of the crosses tested on all leave morphology character except leaf angles on the main branch, percentage of leaf blade, leaf color, color of upper surface leaf bone, leaf green intensity, intensity of anthocyanin staining, corners of leaves, leaf scatter color, and young leaf color. Cluster analysis based on leaves morphological character showed that the J. curcas genotypes could be grouped into four clusters at cophenhetic distance of 0.6.
Key words: Bioenergy plant / cluster analysis / physic nut / plant breeding / renewable energy
© The Authors, published by EDP Sciences, 2023
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