Quantifying Variation in Soybean Due to Flood Using a Low-Cost 3D Imaging System
Flood has an important effect on plant growth by affecting their physiologic and biochemical properties. Soybean is one of the main cultivated crops in the world and the United States is one of the largest soybean producers. However, soybean plant is sensitive to flood stress that may cause slow gro...
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doaj-4fa126f838ad4359804fc76026ff91102020-11-25T01:15:33ZengMDPI AGSensors1424-82202019-06-011912268210.3390/s19122682s19122682Quantifying Variation in Soybean Due to Flood Using a Low-Cost 3D Imaging SystemWenyi Cao0Jing Zhou1Yanping Yuan2Heng Ye3Henry T. Nguyen4Jimin Chen5Jianfeng Zhou6Institute Laser Engineering, Beijing University of Technology, Beijing 100124, ChinaDivision of Food Systems and Bioengineering, University of Missouri, Columbia, MO 65211, USAInstitute Laser Engineering, Beijing University of Technology, Beijing 100124, ChinaDivision of Plant Sciences, University of Missouri, Columbia, MO 65211, USADivision of Plant Sciences, University of Missouri, Columbia, MO 65211, USAInstitute Laser Engineering, Beijing University of Technology, Beijing 100124, ChinaDivision of Food Systems and Bioengineering, University of Missouri, Columbia, MO 65211, USAFlood has an important effect on plant growth by affecting their physiologic and biochemical properties. Soybean is one of the main cultivated crops in the world and the United States is one of the largest soybean producers. However, soybean plant is sensitive to flood stress that may cause slow growth, low yield, small crop production and result in significant economic loss. Therefore, it is critical to develop soybean cultivars that are tolerant to flood. One of the current bottlenecks in developing new crop cultivars is slow and inaccurate plant phenotyping that limits the genetic gain. This study aimed to develop a low-cost 3D imaging system to quantify the variation in the growth and biomass of soybean due to flood at its early growth stages. Two cultivars of soybeans, i.e. flood tolerant and flood sensitive, were planted in plant pots in a controlled greenhouse. A low-cost 3D imaging system was developed to take measurements of plant architecture including plant height, plant canopy width, petiole length, and petiole angle. It was found that the measurement error of the 3D imaging system was 5.8% in length and 5.0% in angle, which was sufficiently accurate and useful in plant phenotyping. Collected data were used to monitor the development of soybean after flood treatment. Dry biomass of soybean plant was measured at the end of the vegetative stage (two months after emergence). Results show that four groups had a significant difference in plant height, plant canopy width, petiole length, and petiole angle. Flood stress at early stages of soybean accelerated the growth of the flood-resistant plants in height and the petiole angle, however, restrained the development in plant canopy width and the petiole length of flood-sensitive plants. The dry biomass of flood-sensitive plants was near two to three times lower than that of resistant plants at the end of the vegetative stage. The results indicate that the developed low-cost 3D imaging system has the potential for accurate measurements in plant architecture and dry biomass that may be used to improve the accuracy of plant phenotyping.https://www.mdpi.com/1424-8220/19/12/26823D imaging systemsoybeanflood stressvegetative growth |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Wenyi Cao Jing Zhou Yanping Yuan Heng Ye Henry T. Nguyen Jimin Chen Jianfeng Zhou |
spellingShingle |
Wenyi Cao Jing Zhou Yanping Yuan Heng Ye Henry T. Nguyen Jimin Chen Jianfeng Zhou Quantifying Variation in Soybean Due to Flood Using a Low-Cost 3D Imaging System Sensors 3D imaging system soybean flood stress vegetative growth |
author_facet |
Wenyi Cao Jing Zhou Yanping Yuan Heng Ye Henry T. Nguyen Jimin Chen Jianfeng Zhou |
author_sort |
Wenyi Cao |
title |
Quantifying Variation in Soybean Due to Flood Using a Low-Cost 3D Imaging System |
title_short |
Quantifying Variation in Soybean Due to Flood Using a Low-Cost 3D Imaging System |
title_full |
Quantifying Variation in Soybean Due to Flood Using a Low-Cost 3D Imaging System |
title_fullStr |
Quantifying Variation in Soybean Due to Flood Using a Low-Cost 3D Imaging System |
title_full_unstemmed |
Quantifying Variation in Soybean Due to Flood Using a Low-Cost 3D Imaging System |
title_sort |
quantifying variation in soybean due to flood using a low-cost 3d imaging system |
publisher |
MDPI AG |
series |
Sensors |
issn |
1424-8220 |
publishDate |
2019-06-01 |
description |
Flood has an important effect on plant growth by affecting their physiologic and biochemical properties. Soybean is one of the main cultivated crops in the world and the United States is one of the largest soybean producers. However, soybean plant is sensitive to flood stress that may cause slow growth, low yield, small crop production and result in significant economic loss. Therefore, it is critical to develop soybean cultivars that are tolerant to flood. One of the current bottlenecks in developing new crop cultivars is slow and inaccurate plant phenotyping that limits the genetic gain. This study aimed to develop a low-cost 3D imaging system to quantify the variation in the growth and biomass of soybean due to flood at its early growth stages. Two cultivars of soybeans, i.e. flood tolerant and flood sensitive, were planted in plant pots in a controlled greenhouse. A low-cost 3D imaging system was developed to take measurements of plant architecture including plant height, plant canopy width, petiole length, and petiole angle. It was found that the measurement error of the 3D imaging system was 5.8% in length and 5.0% in angle, which was sufficiently accurate and useful in plant phenotyping. Collected data were used to monitor the development of soybean after flood treatment. Dry biomass of soybean plant was measured at the end of the vegetative stage (two months after emergence). Results show that four groups had a significant difference in plant height, plant canopy width, petiole length, and petiole angle. Flood stress at early stages of soybean accelerated the growth of the flood-resistant plants in height and the petiole angle, however, restrained the development in plant canopy width and the petiole length of flood-sensitive plants. The dry biomass of flood-sensitive plants was near two to three times lower than that of resistant plants at the end of the vegetative stage. The results indicate that the developed low-cost 3D imaging system has the potential for accurate measurements in plant architecture and dry biomass that may be used to improve the accuracy of plant phenotyping. |
topic |
3D imaging system soybean flood stress vegetative growth |
url |
https://www.mdpi.com/1424-8220/19/12/2682 |
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