A protocol of field-based phenotyping procedure for no-till wheat root system architecture based on data-driven model-assist
Field-based phenotyping (FBP) of crop root system architecture (RSA) provides a way to quantify the root growth and distribution in field with a smaller scale. Studies on a better understanding of the interrelations between field crop root physiological traits, root developmental phases and environm...
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
KeAi Communications Co., Ltd.
2019-09-01
|
Series: | Artificial Intelligence in Agriculture |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2589721719300315 |
id |
doaj-a46c63c61c67471aab71be22266e09e0 |
---|---|
record_format |
Article |
spelling |
doaj-a46c63c61c67471aab71be22266e09e02021-02-02T06:42:27ZengKeAi Communications Co., Ltd.Artificial Intelligence in Agriculture2589-72172019-09-0133341A protocol of field-based phenotyping procedure for no-till wheat root system architecture based on data-driven model-assistXinxin Chen0Qishuo Ding1Ruiyin He2Huixin Li3College of Engineering, Nanjing Agricultural University, Key Laboratory of Intelligent Agricultural Equipment of Jiangsu Province, Nanjing 210031, ChinaCollege of Engineering, Nanjing Agricultural University, Key Laboratory of Intelligent Agricultural Equipment of Jiangsu Province, Nanjing 210031, ChinaCollege of Engineering, Nanjing Agricultural University, Key Laboratory of Intelligent Agricultural Equipment of Jiangsu Province, Nanjing 210031, China; Corresponding author.Soil Ecology Lab, College of Resources and Environmental Science, Nanjing Agricultural University, Nanjing 210095, ChinaField-based phenotyping (FBP) of crop root system architecture (RSA) provides a way to quantify the root growth and distribution in field with a smaller scale. Studies on a better understanding of the interrelations between field crop root physiological traits, root developmental phases and environmental changes are hindered due to deficiency of in situ root system architecture testing and quantitative methods for field crop. The present study aimed to propose a protocol for field-based wheat root system architecture with technical details of key operational procedures. Phenotyping of RSA traits from root spatial coordinate data acquisition and visualization software presented scaled illustrations of wheat RSA dynamics and root developmental phases which also revealed the root topological heterogeneities, either within a plant or among individuals. Percentage of horizontal and vertical soil coverage by root showed that root foraging capability along soil depth was better than within the horizontal dimension. In brief, our data indicated that FBP of wheat RSA could be achieved using the protocol of data-driven model-assisted phenotyping procedure. The proposed protocol was demonstrated useful for FBP of RSAs. It was proved effective to illustrate the topological structures of the wheat root system and to quantify RSA-derived parameters, this could be a useful tool for characterizing and analyzing the structural distortion, heterogeneous distribution and the soil space exploration characteristics of wheat root. Keywords: Field-based phenotyping (FPB), Data-driven model-assisted, Paddy-wheat root system architecture, FBP protocolhttp://www.sciencedirect.com/science/article/pii/S2589721719300315 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Xinxin Chen Qishuo Ding Ruiyin He Huixin Li |
spellingShingle |
Xinxin Chen Qishuo Ding Ruiyin He Huixin Li A protocol of field-based phenotyping procedure for no-till wheat root system architecture based on data-driven model-assist Artificial Intelligence in Agriculture |
author_facet |
Xinxin Chen Qishuo Ding Ruiyin He Huixin Li |
author_sort |
Xinxin Chen |
title |
A protocol of field-based phenotyping procedure for no-till wheat root system architecture based on data-driven model-assist |
title_short |
A protocol of field-based phenotyping procedure for no-till wheat root system architecture based on data-driven model-assist |
title_full |
A protocol of field-based phenotyping procedure for no-till wheat root system architecture based on data-driven model-assist |
title_fullStr |
A protocol of field-based phenotyping procedure for no-till wheat root system architecture based on data-driven model-assist |
title_full_unstemmed |
A protocol of field-based phenotyping procedure for no-till wheat root system architecture based on data-driven model-assist |
title_sort |
protocol of field-based phenotyping procedure for no-till wheat root system architecture based on data-driven model-assist |
publisher |
KeAi Communications Co., Ltd. |
series |
Artificial Intelligence in Agriculture |
issn |
2589-7217 |
publishDate |
2019-09-01 |
description |
Field-based phenotyping (FBP) of crop root system architecture (RSA) provides a way to quantify the root growth and distribution in field with a smaller scale. Studies on a better understanding of the interrelations between field crop root physiological traits, root developmental phases and environmental changes are hindered due to deficiency of in situ root system architecture testing and quantitative methods for field crop. The present study aimed to propose a protocol for field-based wheat root system architecture with technical details of key operational procedures. Phenotyping of RSA traits from root spatial coordinate data acquisition and visualization software presented scaled illustrations of wheat RSA dynamics and root developmental phases which also revealed the root topological heterogeneities, either within a plant or among individuals. Percentage of horizontal and vertical soil coverage by root showed that root foraging capability along soil depth was better than within the horizontal dimension. In brief, our data indicated that FBP of wheat RSA could be achieved using the protocol of data-driven model-assisted phenotyping procedure. The proposed protocol was demonstrated useful for FBP of RSAs. It was proved effective to illustrate the topological structures of the wheat root system and to quantify RSA-derived parameters, this could be a useful tool for characterizing and analyzing the structural distortion, heterogeneous distribution and the soil space exploration characteristics of wheat root. Keywords: Field-based phenotyping (FPB), Data-driven model-assisted, Paddy-wheat root system architecture, FBP protocol |
url |
http://www.sciencedirect.com/science/article/pii/S2589721719300315 |
work_keys_str_mv |
AT xinxinchen aprotocoloffieldbasedphenotypingprocedurefornotillwheatrootsystemarchitecturebasedondatadrivenmodelassist AT qishuoding aprotocoloffieldbasedphenotypingprocedurefornotillwheatrootsystemarchitecturebasedondatadrivenmodelassist AT ruiyinhe aprotocoloffieldbasedphenotypingprocedurefornotillwheatrootsystemarchitecturebasedondatadrivenmodelassist AT huixinli aprotocoloffieldbasedphenotypingprocedurefornotillwheatrootsystemarchitecturebasedondatadrivenmodelassist AT xinxinchen protocoloffieldbasedphenotypingprocedurefornotillwheatrootsystemarchitecturebasedondatadrivenmodelassist AT qishuoding protocoloffieldbasedphenotypingprocedurefornotillwheatrootsystemarchitecturebasedondatadrivenmodelassist AT ruiyinhe protocoloffieldbasedphenotypingprocedurefornotillwheatrootsystemarchitecturebasedondatadrivenmodelassist AT huixinli protocoloffieldbasedphenotypingprocedurefornotillwheatrootsystemarchitecturebasedondatadrivenmodelassist |
_version_ |
1724300793854558208 |