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Genetic Variation in Drought-Tolerance Traits and Their Relationships to Growth in Pinus radiata D. Don Under Water Stress

The selection of drought-tolerant genotypes is globally recognized as an effective strategy to maintain the growth and survival of commercial tree species exposed to future drought periods. New genomic selection tools that reduce the time of progeny trials are required to substitute traditional tree...

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Autores principales: Ismael, Ahmed, Xue, Jianming, Meason, Dean Francis, Klápště, Jaroslav, Gallart, Marta, Li, Yongjun, Bellè, Pierre, Gomez-Gallego, Mireia, Bradford, Ki-Taurangi, Telfer, Emily, Dungey, Heidi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8764257/
https://www.ncbi.nlm.nih.gov/pubmed/35058945
http://dx.doi.org/10.3389/fpls.2021.766803
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author Ismael, Ahmed
Xue, Jianming
Meason, Dean Francis
Klápště, Jaroslav
Gallart, Marta
Li, Yongjun
Bellè, Pierre
Gomez-Gallego, Mireia
Bradford, Ki-Taurangi
Telfer, Emily
Dungey, Heidi
author_facet Ismael, Ahmed
Xue, Jianming
Meason, Dean Francis
Klápště, Jaroslav
Gallart, Marta
Li, Yongjun
Bellè, Pierre
Gomez-Gallego, Mireia
Bradford, Ki-Taurangi
Telfer, Emily
Dungey, Heidi
author_sort Ismael, Ahmed
collection PubMed
description The selection of drought-tolerant genotypes is globally recognized as an effective strategy to maintain the growth and survival of commercial tree species exposed to future drought periods. New genomic selection tools that reduce the time of progeny trials are required to substitute traditional tree breeding programs. We investigated the genetic variation of water stress tolerance in New Zealand-grown Pinus radiata D. Don using 622 commercially-used genotypes from 63 families. We used quantitative pedigree-based (Genomic Best Linear Unbiased Prediction or ABLUP) and genomic-based (Genomic Best Linear Unbiased Prediction or GBLUP) approaches to examine the heritability estimates associated with water stress tolerance in P. radiata. Tree seedling growth traits, foliar carbon isotope composition (δ(13)C), and dark-adapted chlorophyll fluorescence (Y) were monitored before, during and after 10 months of water stress. Height growth showed a constant and moderate heritability level, while the heritability estimate for diameter growth and δ(13)C decreased with water stress. In contrast, chlorophyll fluorescence exhibited low heritability after 5 and 10 months of water stress. The GBLUP approach provided less breeding value accuracy than ABLUP, however, the relative selection efficiency of GBLUP was greater compared with ABLUP selection techniques. Although there was no significant relationship directly between δ(13)C and Y, the genetic correlations were significant and stronger for GBLUP. The positive genetic correlations between δ(13)C and tree biomass traits under water stress indicated that intraspecific variation in δ(13)C was likely driven by differences in the genotype’s photosynthetic capacity. The results show that foliar δ(13)C can predict P. radiata genotype tolerance to water stress using ABLUP and GBLUP approaches and that such approaches can provide a faster screening and selection of drought-tolerant genotypes for forestry breeding programs.
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spelling pubmed-87642572022-01-19 Genetic Variation in Drought-Tolerance Traits and Their Relationships to Growth in Pinus radiata D. Don Under Water Stress Ismael, Ahmed Xue, Jianming Meason, Dean Francis Klápště, Jaroslav Gallart, Marta Li, Yongjun Bellè, Pierre Gomez-Gallego, Mireia Bradford, Ki-Taurangi Telfer, Emily Dungey, Heidi Front Plant Sci Plant Science The selection of drought-tolerant genotypes is globally recognized as an effective strategy to maintain the growth and survival of commercial tree species exposed to future drought periods. New genomic selection tools that reduce the time of progeny trials are required to substitute traditional tree breeding programs. We investigated the genetic variation of water stress tolerance in New Zealand-grown Pinus radiata D. Don using 622 commercially-used genotypes from 63 families. We used quantitative pedigree-based (Genomic Best Linear Unbiased Prediction or ABLUP) and genomic-based (Genomic Best Linear Unbiased Prediction or GBLUP) approaches to examine the heritability estimates associated with water stress tolerance in P. radiata. Tree seedling growth traits, foliar carbon isotope composition (δ(13)C), and dark-adapted chlorophyll fluorescence (Y) were monitored before, during and after 10 months of water stress. Height growth showed a constant and moderate heritability level, while the heritability estimate for diameter growth and δ(13)C decreased with water stress. In contrast, chlorophyll fluorescence exhibited low heritability after 5 and 10 months of water stress. The GBLUP approach provided less breeding value accuracy than ABLUP, however, the relative selection efficiency of GBLUP was greater compared with ABLUP selection techniques. Although there was no significant relationship directly between δ(13)C and Y, the genetic correlations were significant and stronger for GBLUP. The positive genetic correlations between δ(13)C and tree biomass traits under water stress indicated that intraspecific variation in δ(13)C was likely driven by differences in the genotype’s photosynthetic capacity. The results show that foliar δ(13)C can predict P. radiata genotype tolerance to water stress using ABLUP and GBLUP approaches and that such approaches can provide a faster screening and selection of drought-tolerant genotypes for forestry breeding programs. Frontiers Media S.A. 2022-01-04 /pmc/articles/PMC8764257/ /pubmed/35058945 http://dx.doi.org/10.3389/fpls.2021.766803 Text en Copyright © 2022 Ismael, Xue, Meason, Klápště, Gallart, Li, Bellè, Gomez-Gallego, Bradford, Telfer and Dungey. 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
Ismael, Ahmed
Xue, Jianming
Meason, Dean Francis
Klápště, Jaroslav
Gallart, Marta
Li, Yongjun
Bellè, Pierre
Gomez-Gallego, Mireia
Bradford, Ki-Taurangi
Telfer, Emily
Dungey, Heidi
Genetic Variation in Drought-Tolerance Traits and Their Relationships to Growth in Pinus radiata D. Don Under Water Stress
title Genetic Variation in Drought-Tolerance Traits and Their Relationships to Growth in Pinus radiata D. Don Under Water Stress
title_full Genetic Variation in Drought-Tolerance Traits and Their Relationships to Growth in Pinus radiata D. Don Under Water Stress
title_fullStr Genetic Variation in Drought-Tolerance Traits and Their Relationships to Growth in Pinus radiata D. Don Under Water Stress
title_full_unstemmed Genetic Variation in Drought-Tolerance Traits and Their Relationships to Growth in Pinus radiata D. Don Under Water Stress
title_short Genetic Variation in Drought-Tolerance Traits and Their Relationships to Growth in Pinus radiata D. Don Under Water Stress
title_sort genetic variation in drought-tolerance traits and their relationships to growth in pinus radiata d. don under water stress
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8764257/
https://www.ncbi.nlm.nih.gov/pubmed/35058945
http://dx.doi.org/10.3389/fpls.2021.766803
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