Tripathi Pooja, Abdullah Jamila S, Kim Jaeyoung, Chung Yong-Suk, Kim Seong-Hoon, Hamayun Muhammad, Kim Yoonha
Department of Applied Biosciences, Kyungpook National University, Daegu 41566, Korea.
Department of Plant Resources and Environment, Jeju National University, Jeju 63243, Korea.
Plants (Basel). 2021 Nov 21;10(11):2535. doi: 10.3390/plants10112535.
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.
根系是植物吸收必需元素（如维持生命所需的水分和养分）的最重要器官。为培育适应气候变化的大豆新品种，了解不同大豆根系形态特征（RMT）的变异情况，对于选择具有优良根系属性的基因型至关重要。然而，由于根系数据收集和可视化困难，人们对根系形态特征的了解较少。因此，为克服根系研究中的这一问题，本研究使用二维（2D）根系图像来识别不同大豆之间的RMT。我们评估了在聚氯乙烯管中繁殖的372个大豆品种在营养生长阶段（V2）的RMT。表型调查显示，372个大豆品种的RMT存在显著差异。特别是，平均直径（AD）、表面积（SA）、连接平均长度（LAL）和连接平均直径（LAD）等RMT表现出显著差异。相反，总长度（TL）和连接平均分支角度（LABA）等RMT没有差异。此外，在分布分析中，所有RMT均呈正态分布；同时，根据单个RMT观察到分布曲线存在差异。因此，根据RMT的总体分析值，选择了排名前5%和后5%的基因型。此外，对RMT总体表现最一致的基因型也进行了相应排名。这最终有助于识别出排名前5%的四个基因型（IT 16538、IT 199127、IT 165432、IT 165282），而RMT排名后5%的九个基因型（IT 23305、IT 20
