Cargando…

Statistical or biological significance?

Oat plants grown at an agricultural research facility produce higher yields in Field 1 than in Field 2, under well fertilised conditions and with similar weather exposure; all oat plants in both fields are healthy and show no sign of disease. In this study, the authors hypothesised that the soil mic...

Descripción completa

Detalles Bibliográficos
Autor principal: Saxon, Emma
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4635595/
https://www.ncbi.nlm.nih.gov/pubmed/26541972
http://dx.doi.org/10.1186/s12915-015-0198-1
_version_ 1782399528507277312
author Saxon, Emma
author_facet Saxon, Emma
author_sort Saxon, Emma
collection PubMed
description Oat plants grown at an agricultural research facility produce higher yields in Field 1 than in Field 2, under well fertilised conditions and with similar weather exposure; all oat plants in both fields are healthy and show no sign of disease. In this study, the authors hypothesised that the soil microbial community might be different in each field, and these differences might explain the difference in oat plant growth. They carried out a metagenomic analysis of the 16 s ribosomal ‘signature’ sequences from bacteria in 50 randomly located soil samples in each field to determine the composition of the bacterial community. The study identified >1000 species, most of which were present in both fields. The authors identified two plant growth-promoting species that were significantly reduced in soil from Field 2 (Student’s t-test P < 0.05), and concluded that these species might have contributed to reduced yield.
format Online
Article
Text
id pubmed-4635595
institution National Center for Biotechnology Information
language English
publishDate 2015
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-46355952015-11-07 Statistical or biological significance? Saxon, Emma BMC Biol Comment Oat plants grown at an agricultural research facility produce higher yields in Field 1 than in Field 2, under well fertilised conditions and with similar weather exposure; all oat plants in both fields are healthy and show no sign of disease. In this study, the authors hypothesised that the soil microbial community might be different in each field, and these differences might explain the difference in oat plant growth. They carried out a metagenomic analysis of the 16 s ribosomal ‘signature’ sequences from bacteria in 50 randomly located soil samples in each field to determine the composition of the bacterial community. The study identified >1000 species, most of which were present in both fields. The authors identified two plant growth-promoting species that were significantly reduced in soil from Field 2 (Student’s t-test P < 0.05), and concluded that these species might have contributed to reduced yield. BioMed Central 2015-11-05 /pmc/articles/PMC4635595/ /pubmed/26541972 http://dx.doi.org/10.1186/s12915-015-0198-1 Text en © Saxon. 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Comment
Saxon, Emma
Statistical or biological significance?
title Statistical or biological significance?
title_full Statistical or biological significance?
title_fullStr Statistical or biological significance?
title_full_unstemmed Statistical or biological significance?
title_short Statistical or biological significance?
title_sort statistical or biological significance?
topic Comment
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4635595/
https://www.ncbi.nlm.nih.gov/pubmed/26541972
http://dx.doi.org/10.1186/s12915-015-0198-1
work_keys_str_mv AT saxonemma statisticalorbiologicalsignificance