Short Communication: Digital identification approach to characterize Hevea brasiliensis leaves

Abstract. Pratomo B, Lisnawita, Nisa TC, Basyuni M. 2021. Short Communication: Digital identification approach to characterize Hevea brasiliensis leaves. Biodiversitas 22: 1006-1013. The purity of clones is a key factor to obtain uniform growth of Hevea brasiliensis Muell Arg in the field. Crop unif...

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Autores principales: BAYU PRATOMO, LISNAWITA LISNAWITA, TENGKU CHAIRUN NISA, Mohammad Basyuni
Formato: article
Lenguaje:EN
Publicado: MBI & UNS Solo 2021
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Acceso en línea:https://doaj.org/article/7d34e3e74d334b4f87e47d41c00045b7
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spelling oai:doaj.org-article:7d34e3e74d334b4f87e47d41c00045b72021-11-22T00:54:56ZShort Communication: Digital identification approach to characterize Hevea brasiliensis leaves1412-033X2085-472210.13057/biodiv/d220257https://doaj.org/article/7d34e3e74d334b4f87e47d41c00045b72021-01-01T00:00:00Zhttps://smujo.id/biodiv/article/view/7430https://doaj.org/toc/1412-033Xhttps://doaj.org/toc/2085-4722Abstract. Pratomo B, Lisnawita, Nisa TC, Basyuni M. 2021. Short Communication: Digital identification approach to characterize Hevea brasiliensis leaves. Biodiversitas 22: 1006-1013. The purity of clones is a key factor to obtain uniform growth of Hevea brasiliensis Muell Arg in the field. Crop uniformity has an impact on production patterns that can be predicted in latex content. Basically, H. brasiliensis tree leaves show similarities to each other such as the color, texture, or shape of the leaves. Identification of clones that have been very common by the morphology of H. brasiliensis leaves. This study links the results of previous research on digital methods used. A total of 27 clones were sampled in this study which came from the garden collection of entres, which can be used as a source of elders for assisted pollination or source of planting materials for the needs of production-scale seeds in the field. Here, we used a database of 540 leaves from 27 clones and 10 quantitative characters to address these issues The analysis data used a randomized complete block design (RCBD) factorial. The result showed the identification method digitally on characterizing of leaves by using Software Adobe Photoshop, depicting that the characteristics contained in H. brasiliensis leaves are very proper to be used as the first character in identifying an H. brasiliensis clone. The present work provided a piece of important information on the characterization of H. brasiliensis leaves to enhance the selection of parent clones.BAYU PRATOMOLISNAWITA LISNAWITATENGKU CHAIRUN NISAMohammad BasyuniMBI & UNS Soloarticlecharacterize, clones, hevea brasiliensis, identity, leavesBiology (General)QH301-705.5ENBiodiversitas, Vol 22, Iss 2 (2021)
institution DOAJ
collection DOAJ
language EN
topic characterize, clones, hevea brasiliensis, identity, leaves
Biology (General)
QH301-705.5
spellingShingle characterize, clones, hevea brasiliensis, identity, leaves
Biology (General)
QH301-705.5
BAYU PRATOMO
LISNAWITA LISNAWITA
TENGKU CHAIRUN NISA
Mohammad Basyuni
Short Communication: Digital identification approach to characterize Hevea brasiliensis leaves
description Abstract. Pratomo B, Lisnawita, Nisa TC, Basyuni M. 2021. Short Communication: Digital identification approach to characterize Hevea brasiliensis leaves. Biodiversitas 22: 1006-1013. The purity of clones is a key factor to obtain uniform growth of Hevea brasiliensis Muell Arg in the field. Crop uniformity has an impact on production patterns that can be predicted in latex content. Basically, H. brasiliensis tree leaves show similarities to each other such as the color, texture, or shape of the leaves. Identification of clones that have been very common by the morphology of H. brasiliensis leaves. This study links the results of previous research on digital methods used. A total of 27 clones were sampled in this study which came from the garden collection of entres, which can be used as a source of elders for assisted pollination or source of planting materials for the needs of production-scale seeds in the field. Here, we used a database of 540 leaves from 27 clones and 10 quantitative characters to address these issues The analysis data used a randomized complete block design (RCBD) factorial. The result showed the identification method digitally on characterizing of leaves by using Software Adobe Photoshop, depicting that the characteristics contained in H. brasiliensis leaves are very proper to be used as the first character in identifying an H. brasiliensis clone. The present work provided a piece of important information on the characterization of H. brasiliensis leaves to enhance the selection of parent clones.
format article
author BAYU PRATOMO
LISNAWITA LISNAWITA
TENGKU CHAIRUN NISA
Mohammad Basyuni
author_facet BAYU PRATOMO
LISNAWITA LISNAWITA
TENGKU CHAIRUN NISA
Mohammad Basyuni
author_sort BAYU PRATOMO
title Short Communication: Digital identification approach to characterize Hevea brasiliensis leaves
title_short Short Communication: Digital identification approach to characterize Hevea brasiliensis leaves
title_full Short Communication: Digital identification approach to characterize Hevea brasiliensis leaves
title_fullStr Short Communication: Digital identification approach to characterize Hevea brasiliensis leaves
title_full_unstemmed Short Communication: Digital identification approach to characterize Hevea brasiliensis leaves
title_sort short communication: digital identification approach to characterize hevea brasiliensis leaves
publisher MBI & UNS Solo
publishDate 2021
url https://doaj.org/article/7d34e3e74d334b4f87e47d41c00045b7
work_keys_str_mv AT bayupratomo shortcommunicationdigitalidentificationapproachtocharacterizeheveabrasiliensisleaves
AT lisnawitalisnawita shortcommunicationdigitalidentificationapproachtocharacterizeheveabrasiliensisleaves
AT tengkuchairunnisa shortcommunicationdigitalidentificationapproachtocharacterizeheveabrasiliensisleaves
AT mohammadbasyuni shortcommunicationdigitalidentificationapproachtocharacterizeheveabrasiliensisleaves
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