Use of Imaging Technologies for High Throughput Phenotyping

Williams, Dominic; Karley, Alison J.; Graham, Julie; Jones, Hamlyn G.

doi:10.1007/978-3-319-99031-6_9

Cited by 5 publications

(2 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Radiation emitted by objects in the longwave infrared range (8–1.3 μm) is proportional to their surface temperature, which can be exploited for remote measurements of plant canopy temperature using TIR cameras ( Kuenzer and Dech, 2013 ; Williams et al, 2018 ). Plant canopy temperature has been used as an indicator of plant stomatal traits (e.g., stomatal conductance, stomatal aperture, or leaf porosity) because leaves surfaces are cooled by evaporation, and stomatal opening or higher transpiration rates lead to high evaporation rates (i.e., decreased temperatures; Deery et al, 2019 ).…”

Section: Imaging Sensorsmentioning

confidence: 99%

A review of remote sensing for potato traits characterization in precision agriculture

Sun

Zhou

et al. 2022

Front. Plant Sci.

View full text Add to dashboard Cite

Potato is one of the most significant food crops globally due to its essential role in the human diet. The growing demand for potato, coupled with severe environmental losses caused by extensive farming activities, implies the need for better crop protection and management practices. Precision agriculture is being well recognized as the solution as it deals with the management of spatial and temporal variability to improve agricultural returns and reduce environmental impact. As the initial step in precision agriculture, the traditional methods of crop and field characterization require a large input in labor, time, and cost. Recent developments in remote sensing technologies have facilitated the process of monitoring crops and quantifying field variations. Successful applications have been witnessed in the area of precision potato farming. Thus, this review reports the current knowledge on the applications of remote sensing technologies in precision potato trait characterization. We reviewed the commonly used imaging sensors and remote sensing platforms with the comparisons of their strengths and limitations and summarized the main applications of the remote sensing technologies in potato. As a result, this review could update potato agronomists and farmers with the latest approaches and research outcomes, as well as provide a selective list for those who have the intentions to apply remote sensing technologies to characterize potato traits for precision agriculture.

show abstract

Section: Imaging Sensorsmentioning

confidence: 99%

A review of remote sensing for potato traits characterization in precision agriculture

Sun

Zhou

et al. 2022

Front. Plant Sci.

View full text Add to dashboard Cite

show abstract

“…QTLs relating to physical traits that affect pest burden also have been identified 63 . Recently, attempts have been made to map QTLs from hyperspectral traits in an attempt to develop high-throughput phenotyping approaches 82 .…”

Section: Introductionmentioning

confidence: 99%

Genetic and genomic resources for Rubus breeding: a roadmap for the future

et al. 2019

Self Cite

View full text Add to dashboard Cite

Rubus fruits are high-value crops that are sought after by consumers for their flavor, visual appeal, and health benefits. To meet this demand, production of red and black raspberries (R. idaeus L. and R. occidentalis L.), blackberries (R. subgenus Rubus), and hybrids, such as Boysenberry and marionberry, is growing worldwide. Rubus breeding programmes are continually striving to improve flavor, texture, machine harvestability, and yield, provide pest and disease resistance, improve storage and processing properties, and optimize fruits and plants for different production and harvest systems. Breeders face numerous challenges, such as polyploidy, the lack of genetic diversity in many of the elite cultivars, and until recently, the relative shortage of genetic and genomic resources available for Rubus. This review will highlight the development of continually improving genetic maps, the identification of Quantitative Trait Loci (QTL)s controlling key traits, draft genomes for red and black raspberry, and efforts to improve gene models. The development of genetic maps and markers, the molecular characterization of wild species and germplasm, and high-throughput genotyping platforms will expedite breeding of improved cultivars. Fully sequenced genomes and accurate gene models facilitate identification of genes underlying traits of interest and enable gene editing technologies such as CRISPR/Cas9.

show abstract