Abstract. Fitmawati, Fauziah R, Hayati I, Sofiyanti N, Inoue E, Matra DD. 2017. Phylogenetic analysis of Mangifera from central region of Sumatra using trnL-F intergenic spacer. Biodiversitas 18: 1035-1040. Mangifera from Central Sumatra has an unique ability to adapt to the high rainfall regions. This genus is therefore as a potential germplasm source in Sumatra
The relationship among Mangifera species in Central Sumatra is currently unclear. Previous molecular studies on these taxa using cpDNA were unable to produce well-resolved phylogenetic trees. In this study, we explored the potential of the ITS sequences as molecular markers for Mangifera species to better resolve the phylogenetic analysis. Parsimony analysis revealed that the common ancestor M. quadrifida as the first species appeared in Central Sumatra. Mangifera sp. which assumed as new species had the longest genetic distance among species examined and may assumed as the most primitive species of Mangifera in Neighbor-Joining analysis. M. sumatrana and M. torquenda were closely related as well as M. foetida and M. odorata. Also, M. indica was closely related to M. kemanga. This finding and the other marker of cpDNA such as trnL-F and rbcL gene may suggest a possibility to revision in the latest Mangifera classification based on morphological character. Our results also revealed and support the genus Mangifera is a monophyletic group.
Abstract. Hayati I, Hartana A, Djuita NR. 2019. Modeling climatic suitable areas for kedondong (Spondias dulcis) cultivation in central part of Sumatra, Indonesia. Biodiversitas 20: 3608-3618. Kedondong (Spondias dulcis Parkinson) is a fruit plant native to Society Island (Polynesia, Pacific Islands) and widely cultivated in many tropical regions and countries. However, little is known about the occurrences and potential distribution of kedondong as well as its adaptability to different climate particularly in central part Sumatra. This paper is the first to predict the distribution of kedondong in central part of Sumatra in spatially explicit way. The maximum entropy (MaxEnt) model was used to analyze the geographical distribution of kedondong and to map its climatically suitable habitat in central part of Sumatra. The results showed that the MaxEnt model can be used to predict the climatic suitable areas for kedondong cultivation. Notably, the extent of the potentially suitable habitat was significantly larger than the present occurrence of kedondong in central part of Sumatra. The most suitable areas identified in this study covered the west coast of Sumatra and the central part of Sumatra but did not reach the eastern coast. They included parts of Kuantan Singingi, Indragiri Hulu, Indragiri Hilir and Pelalawan of Riau Provinces, Batang Hari of Jambi Provinces, and western part which include Agam, Tanah Datar, West Pasaman, Limapuluh Kota, Padang Pariaman, Padang and South Pesisir of West Sumatra Provinces. The MaxEnt model performed better than random method with an Area Under Curve (AUC) value of 0.981. Although kedondong is still largely ignored by scientific community and its potential has not been deeply explored, the findings of this study imply that it is very important to develop kedondong germplasm resources which have adaptability to extreme climate in central part of Sumatra.
Paku merupakan tumbuhan vaskular penghasil spora yang terdiri atas akar, rimpang dan ental. Bagian rimpang, stipe dan bagian muda dari helaian daun seringkali ditutupi oleh indumentum (sisik/rambut). Penelitian ini bertujuan untuk mengkarakterisasi mikromorfologi dari 18 jenis paku terpilih yang dijumpai di kawasan kebun teh Kampung Citalahab. Pengambilan sampel dilakukan dengan metode jelajah bebas. Karakter mikromorfologi diamati dan didokumentasikan menggunakan mikroskop. Hasil pengamatan disajikan dalam bentuk gambar dan dianalisis secara deskriptif. Hasil karakterisasi mikromorfologi menunjukkan variasi pada warna sisik dan bentuk sisik. Karakter mikromorfologi yang diamati dapat memperkaya bukti taksonomi setiap jenis paku.
Ibna Hayati, Alex Hartana, Nina Ratna Djuita & Nunik Sri Ariyanti. 2022. Morphological Variation of Kedondong (Spondias dulcis Parkinson) in Central Part of Sumatra. Floribunda 6(8): 315–323 — Kedondong (Spondias dulcis Parkinson), is widely cultivated in the tropics and reported possibly native plant from Malesia and Pacific. Since a long time several regions in Indonesia has been known as producing area. Around 60s, Sumatra has reputable kedondong from sabang which has sweet flavour and large size. However information on the morphological variation of kedondong germplasm is still limited. The objective of this study was to describe and grouped morphological variation of kedondong germplasm in central part of Sumatra. The specimens were explored and collected from Riau, West Sumatra, and Jambi. Fifty morphological characters were observed and scored for grouping analysis using UPGMA methods. Some characteristics of kedondong from central part of Sumatra are very varied. The kedondong specimens in the cluster analysis grouped into two main groups A and B based on the color of the mature fruit, but these characteristics may not qualify to be used as standard criteria for evaluating cultivated variety because within the group there are still variations in other characters, such as size and shape of the fruits. However based on fruit type, sweet kedondong tends to has oblong type.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.