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Genetic analysis and elite tree selection of the main resin components of slash pine
Pine resin, as a natural material, has been widely used in food, pharmaceutical, and chemical industries. Slash pine (Pinus elliottii Engelm var. elliottii) is the primary tree species for resin tapping due to its high resin yield, low resin crystallization rate, and high turpentine content. Current...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9930156/ https://www.ncbi.nlm.nih.gov/pubmed/36818862 http://dx.doi.org/10.3389/fpls.2023.1079952 |
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author | Ding, Xianyin Li, Yanjie Zhang, Yini Diao, Shu Luan, Qifu Jiang, Jingmin |
author_facet | Ding, Xianyin Li, Yanjie Zhang, Yini Diao, Shu Luan, Qifu Jiang, Jingmin |
author_sort | Ding, Xianyin |
collection | PubMed |
description | Pine resin, as a natural material, has been widely used in food, pharmaceutical, and chemical industries. Slash pine (Pinus elliottii Engelm var. elliottii) is the primary tree species for resin tapping due to its high resin yield, low resin crystallization rate, and high turpentine content. Current researches focuse on the targeted improvement of several significant components to meet industrial needs rather than just resin yield. The objective of this study was to examine the genetic variation and correlation of genetic and phenotype for four main resin components (α pinene, β pinene, abietic acid, and levoprimaric acid) of 219 half-sib progenies from 59 families. The results showed that the levopimaric acid had the largest content (mean value = 21.63%), while the β pinene content had the largest variation coefficient (CV = 0.42). The α pinene content has the highest heritability (h(2) = 0.67), while levopimaric acid has the lowest heritability (h(2) = 0.51). There was a significant negative correlation between α pinene and the other three components and a significant positive correlation between β pinene and the two diterpenes. The family ranking and genetic gain suggested that it is possible to improve the contents of main resin components of slash pine through genetic breeding selection. |
format | Online Article Text |
id | pubmed-9930156 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-99301562023-02-16 Genetic analysis and elite tree selection of the main resin components of slash pine Ding, Xianyin Li, Yanjie Zhang, Yini Diao, Shu Luan, Qifu Jiang, Jingmin Front Plant Sci Plant Science Pine resin, as a natural material, has been widely used in food, pharmaceutical, and chemical industries. Slash pine (Pinus elliottii Engelm var. elliottii) is the primary tree species for resin tapping due to its high resin yield, low resin crystallization rate, and high turpentine content. Current researches focuse on the targeted improvement of several significant components to meet industrial needs rather than just resin yield. The objective of this study was to examine the genetic variation and correlation of genetic and phenotype for four main resin components (α pinene, β pinene, abietic acid, and levoprimaric acid) of 219 half-sib progenies from 59 families. The results showed that the levopimaric acid had the largest content (mean value = 21.63%), while the β pinene content had the largest variation coefficient (CV = 0.42). The α pinene content has the highest heritability (h(2) = 0.67), while levopimaric acid has the lowest heritability (h(2) = 0.51). There was a significant negative correlation between α pinene and the other three components and a significant positive correlation between β pinene and the two diterpenes. The family ranking and genetic gain suggested that it is possible to improve the contents of main resin components of slash pine through genetic breeding selection. Frontiers Media S.A. 2023-02-01 /pmc/articles/PMC9930156/ /pubmed/36818862 http://dx.doi.org/10.3389/fpls.2023.1079952 Text en Copyright © 2023 Ding, Li, Zhang, Diao, Luan and Jiang https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Plant Science Ding, Xianyin Li, Yanjie Zhang, Yini Diao, Shu Luan, Qifu Jiang, Jingmin Genetic analysis and elite tree selection of the main resin components of slash pine |
title | Genetic analysis and elite tree selection of the main resin components of slash pine
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title_full | Genetic analysis and elite tree selection of the main resin components of slash pine
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title_fullStr | Genetic analysis and elite tree selection of the main resin components of slash pine
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title_full_unstemmed | Genetic analysis and elite tree selection of the main resin components of slash pine
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title_short | Genetic analysis and elite tree selection of the main resin components of slash pine
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title_sort | genetic analysis and elite tree selection of the main resin components of slash pine |
topic | Plant Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9930156/ https://www.ncbi.nlm.nih.gov/pubmed/36818862 http://dx.doi.org/10.3389/fpls.2023.1079952 |
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