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Genotypic variations in 107 poplar clones grown on a short-term waterlogging site: Long-term (1992–2015) data on survival rate, growth performance and branching traits

The dataset reported data of survival rate, growth performance, branching architecture derived from 107 different poplar clones, including 104 introduced poplar clones (Populus deltoides) and 3 local extended poplar clones, measured within a long-term field experiment in lowland plantations in China...

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Autores principales: Tian, Ye, Liu, Yang, Fang, Shengzuo, Yue, Jia, Xu, Xizeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7804592/
https://www.ncbi.nlm.nih.gov/pubmed/33490331
http://dx.doi.org/10.1016/j.dib.2020.106711
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author Tian, Ye
Liu, Yang
Fang, Shengzuo
Yue, Jia
Xu, Xizeng
author_facet Tian, Ye
Liu, Yang
Fang, Shengzuo
Yue, Jia
Xu, Xizeng
author_sort Tian, Ye
collection PubMed
description The dataset reported data of survival rate, growth performance, branching architecture derived from 107 different poplar clones, including 104 introduced poplar clones (Populus deltoides) and 3 local extended poplar clones, measured within a long-term field experiment in lowland plantations in China. After 24 growing seasons from 1992 to 2015, the suvival rate for all the 107 clones, and tree height, diameter at breast-height (1.3 m), and tree volume of each tree were measured and calculated for all the 107 clones, in total of 301 alive trees (one to 9 trees for each clone), in three replicated plots. Subsequently, a total of 17 potential clones were selected by approximately 15% selection intensity, and 17 sample trees (one mean tree for each clone) were harvested for the investigation of the branching number, branching angle and base diameter of first-order branches. For the interpretation of the results of this experiment the readers are referred to Ref. [1]. The data presented in this article will aid selection of superior poplar clones for study and future applications in the similar lowland sites. The data on the suvival rate and growth performance of 107 poplar clones can help farmers and breeders to designing optimal schemes to increase timber yield and log assortment in poplar plantations. Raw data on tree structure parameters and branching traits can be used to evaluate the different performance of the clones, testing their different spacing and rotation requirement, and also designing innovative plantation schemes.
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spelling pubmed-78045922021-01-22 Genotypic variations in 107 poplar clones grown on a short-term waterlogging site: Long-term (1992–2015) data on survival rate, growth performance and branching traits Tian, Ye Liu, Yang Fang, Shengzuo Yue, Jia Xu, Xizeng Data Brief Data Article The dataset reported data of survival rate, growth performance, branching architecture derived from 107 different poplar clones, including 104 introduced poplar clones (Populus deltoides) and 3 local extended poplar clones, measured within a long-term field experiment in lowland plantations in China. After 24 growing seasons from 1992 to 2015, the suvival rate for all the 107 clones, and tree height, diameter at breast-height (1.3 m), and tree volume of each tree were measured and calculated for all the 107 clones, in total of 301 alive trees (one to 9 trees for each clone), in three replicated plots. Subsequently, a total of 17 potential clones were selected by approximately 15% selection intensity, and 17 sample trees (one mean tree for each clone) were harvested for the investigation of the branching number, branching angle and base diameter of first-order branches. For the interpretation of the results of this experiment the readers are referred to Ref. [1]. The data presented in this article will aid selection of superior poplar clones for study and future applications in the similar lowland sites. The data on the suvival rate and growth performance of 107 poplar clones can help farmers and breeders to designing optimal schemes to increase timber yield and log assortment in poplar plantations. Raw data on tree structure parameters and branching traits can be used to evaluate the different performance of the clones, testing their different spacing and rotation requirement, and also designing innovative plantation schemes. Elsevier 2021-01-04 /pmc/articles/PMC7804592/ /pubmed/33490331 http://dx.doi.org/10.1016/j.dib.2020.106711 Text en © 2021 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Data Article
Tian, Ye
Liu, Yang
Fang, Shengzuo
Yue, Jia
Xu, Xizeng
Genotypic variations in 107 poplar clones grown on a short-term waterlogging site: Long-term (1992–2015) data on survival rate, growth performance and branching traits
title Genotypic variations in 107 poplar clones grown on a short-term waterlogging site: Long-term (1992–2015) data on survival rate, growth performance and branching traits
title_full Genotypic variations in 107 poplar clones grown on a short-term waterlogging site: Long-term (1992–2015) data on survival rate, growth performance and branching traits
title_fullStr Genotypic variations in 107 poplar clones grown on a short-term waterlogging site: Long-term (1992–2015) data on survival rate, growth performance and branching traits
title_full_unstemmed Genotypic variations in 107 poplar clones grown on a short-term waterlogging site: Long-term (1992–2015) data on survival rate, growth performance and branching traits
title_short Genotypic variations in 107 poplar clones grown on a short-term waterlogging site: Long-term (1992–2015) data on survival rate, growth performance and branching traits
title_sort genotypic variations in 107 poplar clones grown on a short-term waterlogging site: long-term (1992–2015) data on survival rate, growth performance and branching traits
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7804592/
https://www.ncbi.nlm.nih.gov/pubmed/33490331
http://dx.doi.org/10.1016/j.dib.2020.106711
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