Citation
Abstract
Coconut is an economically important palm species with a long history of human use. It has applications in various food, nutraceuticals, and cosmetic products, and there has been renewed interest in coconut in recent years due to its unique nutritional and medicinal properties. Unfortunately, the sustainable growth of the coconut industry has been hampered due to a shortage of good quality seedlings. Genetic improvement through the traditional breeding approach faced considerable obstacles due to its perennial nature, protracted juvenile period, and high heterozygosity. Molecular biotechnological tools, including molecular markers and next-generation sequencing (NGS), could expedite genetic improvement efforts in coconut. Researchers have employed various molecular markers to reveal genetic diversity among coconut populations and for the construction of a genetic map for exploitation in coconut breeding programs worldwide. Whole genome sequencing and transcriptomics on the different varieties have generated a massive amount of publicly accessible sequence data, substantially improving the ability to analyze and understand molecular mechanisms affecting crop performance. The production of high-yielding and disease-resilient coconuts and the deciphering of the complex coconut genome’s structure can profit tremendously from these technologies. This paper aims to provide a comprehensive review of the progress of coconut research, using genomics, transcriptomics, and molecular markers initiatives.
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Official URL or Download Paper: https://www.mdpi.com/2223-7747/12/9/1913
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Additional Metadata
Item Type: | Article |
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Divisions: | Faculty of Agriculture Institute of Plantation Studies |
DOI Number: | https://doi.org/10.3390/plants12091913 |
Publisher: | Multidisciplinary Digital Publishing Institute |
Keywords: | Genomics; Transcriptomics; Cocos nucifera; Molecular markers; Fruit development; Zero hunger |
Depositing User: | Ms. Zaimah Saiful Yazan |
Date Deposited: | 24 Sep 2024 07:46 |
Last Modified: | 24 Sep 2024 07:46 |
Altmetrics: | http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.3390/plants12091913 |
URI: | http://psasir.upm.edu.my/id/eprint/108100 |
Statistic Details: | View Download Statistic |
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