High-Throughput Root Network System Analysis for Low Phosphorus Tolerance in Maize at Seedling Stage

The root system is the important organ of a plant, helping to anchor the plant and take up nutrients from the soil. The purpose of this investigation was to determine the magnitude of the root network system (RNS) through phenotypic variability in a broad range of maize inbred lines. The GiA Root so...

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Autores principales:	Md. Shalim Uddin, Md. Golam Azam, Masum Billah, Shamim Ara Bagum, Priya Lal Biswas, Abul Bashar Mohammad Khaldun, Neelima Hossain, Ahmed Gaber, Yusuf S. Althobaiti, Abdelhadi A. Abdelhadi, Akbar Hossain
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	root network system low phosphorus root image GiA Root software genetic Agriculture S
Acceso en línea:	https://doaj.org/article/b0e176fea3124f22ab75872e44353f82
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spelling	oai:doaj.org-article:b0e176fea3124f22ab75872e44353f822021-11-25T16:07:39ZHigh-Throughput Root Network System Analysis for Low Phosphorus Tolerance in Maize at Seedling Stage10.3390/agronomy111122302073-4395https://doaj.org/article/b0e176fea3124f22ab75872e44353f822021-11-01T00:00:00Zhttps://www.mdpi.com/2073-4395/11/11/2230https://doaj.org/toc/2073-4395The root system is the important organ of a plant, helping to anchor the plant and take up nutrients from the soil. The purpose of this investigation was to determine the magnitude of the root network system (RNS) through phenotypic variability in a broad range of maize inbred lines. The GiA Root software was used to identify root attributes from images. After germination, the inbred lines were grown hydroponically for 15 days in a high-lux plant growth room with low phosphorus (LP) and normal phosphorus (NP) treatments. Variance analysis revealed a large range of variability present among the inbred lines, with intermediate to high heritabilities ranging from 0.59 to 0.95 for all RNS traits, demonstrating uniformity through the experiments. The proportions of genetic variance ranged from 0.01–0.60 in different maize RNS traits. A strong positive linear relationship between best linear unbiased predictors (BLUPs) with estimated means was found for all the RNS traits. The Euclidean genetic distances between the studied inbred lines ranged from 0.61 to 29.33, showing a higher amount of diversity. More than 79% of the overall genetic variation was explained by the first three principal components, with high loadings from the measurements of network length (NWL), network surface area (NWSA), network perimeter (NWP), network area (NWA), the maximum number of roots (MANR), median number of roots (MENR), network volume (NWV), network convex area (NWCA), specific root length (SRL), network depth (NWD), number of connected components (NCC), and network width (NWW). The biplot of genotype by trait interaction exposed superior genotypes with a relatively high expression of favorable trait combinations. Some outstanding genotypes with higher values of most RNS traits were identified through MGIDI analysis. These lines may be convenient for enhancing LP tolerance in maize.Md. Shalim UddinMd. Golam AzamMasum BillahShamim Ara BagumPriya Lal BiswasAbul Bashar Mohammad KhaldunNeelima HossainAhmed GaberYusuf S. AlthobaitiAbdelhadi A. AbdelhadiAkbar HossainMDPI AGarticleroot network systemlow phosphorusroot imageGiA Root softwaregeneticAgricultureSENAgronomy, Vol 11, Iss 2230, p 2230 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	root network system low phosphorus root image GiA Root software genetic Agriculture S
spellingShingle	root network system low phosphorus root image GiA Root software genetic Agriculture S Md. Shalim Uddin Md. Golam Azam Masum Billah Shamim Ara Bagum Priya Lal Biswas Abul Bashar Mohammad Khaldun Neelima Hossain Ahmed Gaber Yusuf S. Althobaiti Abdelhadi A. Abdelhadi Akbar Hossain High-Throughput Root Network System Analysis for Low Phosphorus Tolerance in Maize at Seedling Stage
description	The root system is the important organ of a plant, helping to anchor the plant and take up nutrients from the soil. The purpose of this investigation was to determine the magnitude of the root network system (RNS) through phenotypic variability in a broad range of maize inbred lines. The GiA Root software was used to identify root attributes from images. After germination, the inbred lines were grown hydroponically for 15 days in a high-lux plant growth room with low phosphorus (LP) and normal phosphorus (NP) treatments. Variance analysis revealed a large range of variability present among the inbred lines, with intermediate to high heritabilities ranging from 0.59 to 0.95 for all RNS traits, demonstrating uniformity through the experiments. The proportions of genetic variance ranged from 0.01–0.60 in different maize RNS traits. A strong positive linear relationship between best linear unbiased predictors (BLUPs) with estimated means was found for all the RNS traits. The Euclidean genetic distances between the studied inbred lines ranged from 0.61 to 29.33, showing a higher amount of diversity. More than 79% of the overall genetic variation was explained by the first three principal components, with high loadings from the measurements of network length (NWL), network surface area (NWSA), network perimeter (NWP), network area (NWA), the maximum number of roots (MANR), median number of roots (MENR), network volume (NWV), network convex area (NWCA), specific root length (SRL), network depth (NWD), number of connected components (NCC), and network width (NWW). The biplot of genotype by trait interaction exposed superior genotypes with a relatively high expression of favorable trait combinations. Some outstanding genotypes with higher values of most RNS traits were identified through MGIDI analysis. These lines may be convenient for enhancing LP tolerance in maize.
format	article
author	Md. Shalim Uddin Md. Golam Azam Masum Billah Shamim Ara Bagum Priya Lal Biswas Abul Bashar Mohammad Khaldun Neelima Hossain Ahmed Gaber Yusuf S. Althobaiti Abdelhadi A. Abdelhadi Akbar Hossain
author_facet	Md. Shalim Uddin Md. Golam Azam Masum Billah Shamim Ara Bagum Priya Lal Biswas Abul Bashar Mohammad Khaldun Neelima Hossain Ahmed Gaber Yusuf S. Althobaiti Abdelhadi A. Abdelhadi Akbar Hossain
author_sort	Md. Shalim Uddin
title	High-Throughput Root Network System Analysis for Low Phosphorus Tolerance in Maize at Seedling Stage
title_short	High-Throughput Root Network System Analysis for Low Phosphorus Tolerance in Maize at Seedling Stage
title_full	High-Throughput Root Network System Analysis for Low Phosphorus Tolerance in Maize at Seedling Stage
title_fullStr	High-Throughput Root Network System Analysis for Low Phosphorus Tolerance in Maize at Seedling Stage
title_full_unstemmed	High-Throughput Root Network System Analysis for Low Phosphorus Tolerance in Maize at Seedling Stage
title_sort	high-throughput root network system analysis for low phosphorus tolerance in maize at seedling stage
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/b0e176fea3124f22ab75872e44353f82
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High-Throughput Root Network System Analysis for Low Phosphorus Tolerance in Maize at Seedling Stage

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