plants
Article
Investigation of Root Morphological Traits Using 2D-Imaging
among Diverse Soybeans (Glycine max L.)
Pooja Tripathi
1,†
, Jamila S. Abdullah
1,†
, Jaeyoung Kim
2
, Yong-Suk Chung
2
, Seong-Hoon Kim
3
,
Muhammad Hamayun
4
and Yoonha Kim
1,
*
Citation: Tripathi, P.; Abdullah, J.S.;
Kim, J.; Chung, Y.-S.; Kim, S.-H.;
Hamayun, M.; Kim, Y. Investigation
of Root Morphological Traits Using
2D-Imaging among Diverse Soybeans
(Glycine max L.). Plants 2021, 10, 2535.
https://doi.org/10.3390/
plants10112535
Academic Editor: Daniel K. Gladish
Received: 3 September 2021
Accepted: 19 November 2021
Published: 21 November 2021
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4.0/).
1
Department of Applied Biosciences, Kyungpook National University, Daegu 41566, Korea;
tripathipooza21@gmail.com (P.T.); abdullajamila@gmail.com (J.S.A.)
2
Department of Plant Resources and Environment, Jeju National University, Jeju 63243, Korea;
baron7798@jejunu.ac.kr (J.K.); yschung@jejunu.ac.kr (Y.-S.C.)
3
National Agrobiodiversity Center, National Institute of Agricultural Sciences, RDA, Jeonju 54874, Korea;
shkim0819@korea.kr
4
Department of Botany, Abdul Wali Khan University, Mardan 23200, Pakistan; hamayun@awkum.edu.pk
* Correspondence: kyh1229@knu.ac.kr; Tel.: +82-53-950-5710
† These authors also contributed equally to this work.
Abstract: 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.
Keywords: root morphological traits; root surface area; root length; root diameter; WinRHIZO
1. Introduction
The soybean is an affordable protein-rich source of food that also has high economic
and environmental values. Therefore, soybean is one of three major crops worldwide [1].
Climate is rapidly changing, and as a result, temperature increase has led to a substantial
yield decline in soybean. Thus, huge economic losses occur yearly [2]. Drought is among
Plants 2021, 10, 2535. https://doi.org/10.3390/plants10112535 https://www.mdpi.com/journal/plants