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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| Format: | Article |
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MDPI AG
2021-11-01
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| Series: | Plants |
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| Online Access: | https://www.mdpi.com/2223-7747/10/11/2535 |
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| 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 |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-10T05:06:47Z |
| format | Article |
| id | doaj.art-30c21f64ee7941a9a3e237f54a2197fd |
| institution | Directory Open Access Journal |
| issn | 2223-7747 |
| language | English |
| last_indexed | 2024-03-10T05:06:47Z |
| publishDate | 2021-11-01 |
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| series | Plants |
| spelling | doaj.art-30c21f64ee7941a9a3e237f54a2197fd2023-11-23T01:07:23ZengMDPI AGPlants2223-77472021-11-011011253510.3390/plants10112535Investigation of Root Morphological Traits Using 2D-Imaging among Diverse Soybeans (<i>Glycine max</i> L.)Pooja Tripathi0Jamila S. Abdullah1Jaeyoung Kim2Yong-Suk Chung3Seong-Hoon Kim4Muhammad Hamayun5Yoonha Kim6Department of Applied Biosciences, Kyungpook National University, Daegu 41566, KoreaDepartment of Applied Biosciences, Kyungpook National University, Daegu 41566, KoreaDepartment of Plant Resources and Environment, Jeju National University, Jeju 63243, KoreaDepartment of Plant Resources and Environment, Jeju National University, Jeju 63243, KoreaNational Agrobiodiversity Center, National Institute of Agricultural Sciences, RDA, Jeonju 54874, KoreaDepartment of Botany, Abdul Wali Khan University, Mardan 23200, PakistanDepartment of Applied Biosciences, Kyungpook National University, Daegu 41566, KoreaRoots 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.https://www.mdpi.com/2223-7747/10/11/2535root morphological traitsroot surface arearoot lengthroot diameterWinRHIZO |
| spellingShingle | 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.) Plants root morphological traits root surface area root length root diameter WinRHIZO |
| title | 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_short | 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 |
| topic | root morphological traits root surface area root length root diameter WinRHIZO |
| url | https://www.mdpi.com/2223-7747/10/11/2535 |
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