Investigation of Root Morphological Traits Using 2D-Imaging among Diverse Soybeans (<i>Glycine max</i> L.)

Roots are the most important plant organ for absorbing essential elements, such as water and nutrients for living. To develop new climate-resilient soybean cultivars, it is essential to know the variation in root morphological traits (RMT) among diverse soybean for selecting superior root attribute...

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Autores principales:	Pooja Tripathi, Jamila S. Abdullah, Jaeyoung Kim, Yong-Suk Chung, Seong-Hoon Kim, Muhammad Hamayun, Yoonha Kim
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	root morphological traits root surface area root length root diameter WinRHIZO Botany QK1-989
Acceso en línea:	https://doaj.org/article/30c21f64ee7941a9a3e237f54a2197fd
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spelling	oai:doaj.org-article:30c21f64ee7941a9a3e237f54a2197fd2021-11-25T18:47:28ZInvestigation of Root Morphological Traits Using 2D-Imaging among Diverse Soybeans (<i>Glycine max</i> L.)10.3390/plants101125352223-7747https://doaj.org/article/30c21f64ee7941a9a3e237f54a2197fd2021-11-01T00:00:00Zhttps://www.mdpi.com/2223-7747/10/11/2535https://doaj.org/toc/2223-7747Roots are the most important plant organ for absorbing essential elements, such as water and nutrients for living. To develop new climate-resilient soybean cultivars, it is essential to know the variation in root morphological traits (RMT) among diverse soybean for selecting superior root attribute genotypes. However, information on root morphological characteristics is poorly understood due to difficulty in root data collection and visualization. Thus, to overcome this problem in root research, we used a 2-dimensional (2D) root image in identifying RMT among diverse soybeans in this research. We assessed RMT in the vegetative growth stage (V2) of 372 soybean cultivars propagated in polyvinyl chloride pipes. The phenotypic investigation revealed significant variability among the 372 soybean cultivars for RMT. In particular, RMT such as the average diameter (AD), surface area (SA), link average length (LAL), and link average diameter (LAD) showed significant variability. On the contrary RMT, as with total length (TL) and link average branching angle (LABA), did not show differences. Furthermore, in the distribution analysis, normal distribution was observed for all RMT; at the same time, difference was observed in the distribution curve depending on individual RMT. Thus, based on overall RMT analysis values, the top 5% and bottom 5% ranked genotypes were selected. Furthermore, genotypes that showed most consistent for overall RMT have ranked accordingly. This ultimately helps to identify four genotypes (IT 16538, IT 199127, IT 165432, IT 165282) ranked in the highest 5%, whereas nine genotypes (IT 23305, IT 208266, IT 165208, IT 156289, IT 165405, IT 165019, IT 165839, IT 203565, IT 181034) ranked in the lowest 5% for RMT. Moreover, principal component analysis clustered cultivar 2, cultivar 160, and cultivar 274 into one group with high RMT values, and cultivar 335, cultivar 40, and cultivar 249 with low RMT values. The RMT correlation results revealed significantly positive TL and AD correlations with SA (r = 0.96) and LAD (r = 0.85), respectively. However, negative correlations (r = −0.43) were observed between TL and AD. Similarly, AD showed a negative correlation (r = −0.22) with SA. Thus, this result suggests that TL is a more vital factor than AD for determining SA compositions.Pooja TripathiJamila S. AbdullahJaeyoung KimYong-Suk ChungSeong-Hoon KimMuhammad HamayunYoonha KimMDPI AGarticleroot morphological traitsroot surface arearoot lengthroot diameterWinRHIZOBotanyQK1-989ENPlants, Vol 10, Iss 2535, p 2535 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	root morphological traits root surface area root length root diameter WinRHIZO Botany QK1-989
spellingShingle	root morphological traits root surface area root length root diameter WinRHIZO Botany QK1-989 Pooja Tripathi Jamila S. Abdullah Jaeyoung Kim Yong-Suk Chung Seong-Hoon Kim Muhammad Hamayun Yoonha Kim Investigation of Root Morphological Traits Using 2D-Imaging among Diverse Soybeans (<i>Glycine max</i> L.)
description	Roots are the most important plant organ for absorbing essential elements, such as water and nutrients for living. To develop new climate-resilient soybean cultivars, it is essential to know the variation in root morphological traits (RMT) among diverse soybean for selecting superior root attribute genotypes. However, information on root morphological characteristics is poorly understood due to difficulty in root data collection and visualization. Thus, to overcome this problem in root research, we used a 2-dimensional (2D) root image in identifying RMT among diverse soybeans in this research. We assessed RMT in the vegetative growth stage (V2) of 372 soybean cultivars propagated in polyvinyl chloride pipes. The phenotypic investigation revealed significant variability among the 372 soybean cultivars for RMT. In particular, RMT such as the average diameter (AD), surface area (SA), link average length (LAL), and link average diameter (LAD) showed significant variability. On the contrary RMT, as with total length (TL) and link average branching angle (LABA), did not show differences. Furthermore, in the distribution analysis, normal distribution was observed for all RMT; at the same time, difference was observed in the distribution curve depending on individual RMT. Thus, based on overall RMT analysis values, the top 5% and bottom 5% ranked genotypes were selected. Furthermore, genotypes that showed most consistent for overall RMT have ranked accordingly. This ultimately helps to identify four genotypes (IT 16538, IT 199127, IT 165432, IT 165282) ranked in the highest 5%, whereas nine genotypes (IT 23305, IT 208266, IT 165208, IT 156289, IT 165405, IT 165019, IT 165839, IT 203565, IT 181034) ranked in the lowest 5% for RMT. Moreover, principal component analysis clustered cultivar 2, cultivar 160, and cultivar 274 into one group with high RMT values, and cultivar 335, cultivar 40, and cultivar 249 with low RMT values. The RMT correlation results revealed significantly positive TL and AD correlations with SA (r = 0.96) and LAD (r = 0.85), respectively. However, negative correlations (r = −0.43) were observed between TL and AD. Similarly, AD showed a negative correlation (r = −0.22) with SA. Thus, this result suggests that TL is a more vital factor than AD for determining SA compositions.
format	article
author	Pooja Tripathi Jamila S. Abdullah Jaeyoung Kim Yong-Suk Chung Seong-Hoon Kim Muhammad Hamayun Yoonha Kim
author_facet	Pooja Tripathi Jamila S. Abdullah Jaeyoung Kim Yong-Suk Chung Seong-Hoon Kim Muhammad Hamayun Yoonha Kim
author_sort	Pooja Tripathi
title	Investigation of Root Morphological Traits Using 2D-Imaging among Diverse Soybeans (<i>Glycine max</i> L.)
title_short	Investigation of Root Morphological Traits Using 2D-Imaging among Diverse Soybeans (<i>Glycine max</i> L.)
title_full	Investigation of Root Morphological Traits Using 2D-Imaging among Diverse Soybeans (<i>Glycine max</i> L.)
title_fullStr	Investigation of Root Morphological Traits Using 2D-Imaging among Diverse Soybeans (<i>Glycine max</i> L.)
title_full_unstemmed	Investigation of Root Morphological Traits Using 2D-Imaging among Diverse Soybeans (<i>Glycine max</i> L.)
title_sort	investigation of root morphological traits using 2d-imaging among diverse soybeans (<i>glycine max</i> l.)
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/30c21f64ee7941a9a3e237f54a2197fd
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Investigation of Root Morphological Traits Using 2D-Imaging among Diverse Soybeans (<i>Glycine max</i> L.)

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