A High-Throughput, Field-Based Phenotyping Technology for Tall Biomass Crops

Fernandez, Maria G. Salas; Bao, Yuhai; Tang, Lie; Schnable, Patrick S.

doi:10.1104/pp.17.00707

Cited by 110 publications

(81 citation statements)

References 48 publications

(67 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The extensive use of elite varieties has resulted in the loss of genetic diversity for several important crop plants that has, in some cases, led to increased susceptibility to abiotic stresses (Flint‐Garcia, ; Govindaraj, Vetriventhan, & Srinivasan, ). Over the last two decades, the rapid advances in crop genomic and transcriptomic technologies have not been accompanied by the development of accurate and cost‐effective phenotyping tools that are needed for dissecting the genetic architecture of complex traits associated with abiotic stress resistance (Fernandez, Bao, Tang, & Schnable, ). High‐throughput plant phenotyping tools are essential to bridge the phenotype–genotype gap, and the combination of phenotypic and allelic information will facilitate the identification of genetic loci associated with many valuable agronomic traits.…”

Section: High‐throughput Phenotyping In Legume Crops Under Environmenmentioning

confidence: 99%

“…Initially, high‐throughput phenotyping was developed to obtain phenotypic data from plants grown under controlled environments, such as photosynthesis, leaf area, heat emission, and stomatal number, by using hyperspectral and thermal imaging techniques (Ge, Bai, Stoerger, & Schnable, ; Neilson et al, ). However, phenotyping of crop plants in the fields is still difficult with challenges, such as overlapping of neighbouring plants and climatic conditions that affect the sensor accuracy and resolution, and data collection (Bai, Ge, Hussain, Baenziger, & Graef, ; Fernandez et al, ). Highly flexible non‐destructive robotic measurement platforms, which have accurate navigation systems, the ability to use a variety of sensor modules and the capacity to measure multiple plots with different data formats simultaneously, are needed for crop‐specific phenotyping (Bai et al, ; Fernandez et al, ).…”

Section: High‐throughput Phenotyping In Legume Crops Under Environmenmentioning

confidence: 99%

“…However, phenotyping of crop plants in the fields is still difficult with challenges, such as overlapping of neighbouring plants and climatic conditions that affect the sensor accuracy and resolution, and data collection (Bai, Ge, Hussain, Baenziger, & Graef, ; Fernandez et al, ). Highly flexible non‐destructive robotic measurement platforms, which have accurate navigation systems, the ability to use a variety of sensor modules and the capacity to measure multiple plots with different data formats simultaneously, are needed for crop‐specific phenotyping (Bai et al, ; Fernandez et al, ).…”

Section: High‐throughput Phenotyping In Legume Crops Under Environmenmentioning

confidence: 99%

See 2 more Smart Citations

Legume genetic resources and transcriptome dynamics under abiotic stress conditions

et al. 2018

View full text Add to dashboard Cite

Grain legumes are an important source of nutrition and income for billions of consumers and farmers around the world. However, the low productivity of new legume varieties, due to the limited genetic diversity available for legume breeding programmes and poor policymaker support, combined with an increasingly unpredictable global climate is resulting in a large gap between current yields and the increasing demand for legumes as food. Hence, there is a need for novel approaches to develop new high-yielding legume cultivars that are able to cope with a range of environmental stressors. Next-generation technologies are providing the tools that could enable the more rapid and cost-effective genomic and transcriptomic studies for most major crops, allowing the identification of key functional and regulatory genes involved in abiotic stress resistance. In this review, we provide an overview of the recent achievements regarding abiotic stress resistance in a wide range of legume crops and highlight the transcriptomic and miRNA approaches that have been used. In addition, we critically evaluate the availability and importance of legume genetic resources with desirable abiotic stress resistance traits.

show abstract

Section: High‐throughput Phenotyping In Legume Crops Under Environmenmentioning

confidence: 99%

Section: High‐throughput Phenotyping In Legume Crops Under Environmenmentioning

confidence: 99%

Section: High‐throughput Phenotyping In Legume Crops Under Environmenmentioning

confidence: 99%

See 1 more Smart Citation

Legume genetic resources and transcriptome dynamics under abiotic stress conditions

et al. 2018

View full text Add to dashboard Cite

show abstract

“…This will also help orienting the development of appropriate phenotyping facilities to support the development of varieties and innovative crop management practices (Cabrera-Bosquet et al, 2016;Legland, El-Hage, Mechin, & Reymond, 2017;M. This will also help orienting the development of appropriate phenotyping facilities to support the development of varieties and innovative crop management practices (Cabrera-Bosquet et al, 2016;Legland, El-Hage, Mechin, & Reymond, 2017;M.…”

Section: Introductionmentioning

confidence: 99%

Genotypic covariations of traits underlying sorghum stem biomass production and quality and their regulations by water availability: Insight from studies at organ and tissue levels

et al. 2018

View full text Add to dashboard Cite

Sweet and biomass sorghum are expected to contribute increasingly to bioenergy production. Better understanding the impacts of the genotypic and environmental variabilities on biomass component traits and their properties is essential to optimize energy yields. This study aimed to evaluate whether traits contributing to stem biomass growth and biochemical composition at different biological scales (co)vary with the genotype and the water status in sorghum. Height genotypes were studied over two years in field conditions in southern France under two water treatments (well watered vs. 25 days’ dry down during stem elongation). Main stem internode number, size, (non)structural carbohydrate, and lignin contents were measured at the end of the stress period and/or at final harvest, together with biochemical and histological analyses of the youngest expanded internode. The tallest genotypes showed the highest stem dry weights and lignin contents. Stem (structural) biomass density was positively correlated with lignin content, particularly in internode parenchyma. Stem soluble sugar and lignin contents were inversely proportional across genotypes and water conditions. Genotypes contrasted for drought sensitivity and recovery capacity of stem growth and biochemical composition. The length and cell wall deposition of internodes expanding under water deficit were reduced and did not recover, these responses being weakly correlated. Genotypic variability was pointed out in the growth recovery of internodes expanding under re‐watered conditions. According to the observed genotypic variability and the absence of antagonistic correlations between the responses of the different traits to water availability, it is suggested that biomass sorghum varieties optimizing their responses to water availability in terms of growth and cell wall deposition can be developed for different bioenergy targets.

show abstract

“…Despite these limitations, tractor systems have been used for field-based phenotyping. Salas Fernandez et al (2017) developed an augmented John Deere tractor system with an automated guidance system, stereo cameras and color cameras to collect plant height and stem diameter measurements. Their system automatically extracted plant height from image data with user input required to estimate stem diameter.…”

Section: Introductionmentioning

confidence: 99%

Design and field evaluation of a ground robot for high-throughput phenotyping of energy sorghum

2018

View full text Add to dashboard Cite

This article describes the design and field evaluation of a low-cost, high-throughput phenotyping robot for energy sorghum for use in biofuel production. High-throughput phenotyping approaches have been used in isolated growth chambers or greenhouses, but there is a growing need for field-based, precision agriculture techniques to measure large quantities of plants at high spatial and temporal resolutions throughout a growing season. A lowcost, tracked mobile robot was developed to collect phenotypic data for individual plants and tested on two separate energy sorghum fields in Central Illinois during summer 2016. Stereo imaging techniques determined plant height, and a depth sensor measured stem width near the base of the plant. A data capture rate of 0.4 ha, bi-weekly, was demonstrated for platform robustness consistent with various environmental conditions and crop yield modeling needs, and formative human-robot interaction observations were made during the field trials to address usability. This work is of interest to researchers and practitioners advancing the field of plant breeding because it demonstrates a new phenotyping platform that can measure individual plant architecture traits accurately (absolute measurement error at 15% for plant height and 13% for stem width) over large areas at a sub-daily frequency; furthermore, the design of this platform can be extended for phenotyping applications in maize or other agricultural row crops.

show abstract

A High-Throughput, Field-Based Phenotyping Technology for Tall Biomass Crops

Cited by 110 publications

References 48 publications

Legume genetic resources and transcriptome dynamics under abiotic stress conditions

Legume genetic resources and transcriptome dynamics under abiotic stress conditions

Genotypic covariations of traits underlying sorghum stem biomass production and quality and their regulations by water availability: Insight from studies at organ and tissue levels

Design and field evaluation of a ground robot for high-throughput phenotyping of energy sorghum

Contact Info

Product

Resources

About