TY - JOUR
T1 - A versatile phenotyping system and analytics platform reveals diverse temporal responses to water availability in Setaria
AU - Fahlgren, Noah
AU - Feldman, Maximilian
AU - Gehan, Malia A.
AU - Wilson, Melinda S.
AU - Shyu, Christine
AU - Bryant, Douglas W.
AU - Hill, Steven T.
AU - McEntee, Colton J.
AU - Warnasooriya, Sankalpi N.
AU - Kumar, Indrajit
AU - Ficor, Tracy
AU - Turnipseed, Stephanie
AU - Gilbert, Kerrigan B.
AU - Brutnell, Thomas P.
AU - Carrington, James C.
AU - Mockler, Todd C.
AU - Baxter, Ivan
N1 - Publisher Copyright:
© 2015 The Author.
PY - 2015/10/5
Y1 - 2015/10/5
N2 - Phenotyping has become the rate-limiting step in using large-scale genomic data to understand and improve agricultural crops. Here, the Bellwether Phenotyping Platform for controlled-environment plant growth and automated multimodal phenotyping is described. The system has capacity for 1140 plants, which pass daily through stations to record fluorescence, near-infrared, and visible images. Plant Computer Vision (PlantCV) was developed as open-source, hardware platform-independent software for quantitative image analysis. In a 4-week experiment, wild Setaria viridis and domesticated Setaria italica had fundamentally different temporal responses to water availability. While both lines produced similar levels of biomass under limited water conditions, Setaria viridis maintained the same water-use efficiency under water replete conditions, while Setaria italica shifted to less efficient growth. Overall, the Bellwether Phenotyping Platform and PlantCV software detected significant effects of genotype and environment on height, biomass, water-use efficiency, color, plant architecture, and tissue water status traits. All ∼79 000 images acquired during the course of the experiment are publicly available.
AB - Phenotyping has become the rate-limiting step in using large-scale genomic data to understand and improve agricultural crops. Here, the Bellwether Phenotyping Platform for controlled-environment plant growth and automated multimodal phenotyping is described. The system has capacity for 1140 plants, which pass daily through stations to record fluorescence, near-infrared, and visible images. Plant Computer Vision (PlantCV) was developed as open-source, hardware platform-independent software for quantitative image analysis. In a 4-week experiment, wild Setaria viridis and domesticated Setaria italica had fundamentally different temporal responses to water availability. While both lines produced similar levels of biomass under limited water conditions, Setaria viridis maintained the same water-use efficiency under water replete conditions, while Setaria italica shifted to less efficient growth. Overall, the Bellwether Phenotyping Platform and PlantCV software detected significant effects of genotype and environment on height, biomass, water-use efficiency, color, plant architecture, and tissue water status traits. All ∼79 000 images acquired during the course of the experiment are publicly available.
KW - abiotic/environmental stress
KW - bioinformatics
KW - development
KW - phenotyping
KW - water relations
UR - http://www.scopus.com/inward/record.url?scp=84943450041&partnerID=8YFLogxK
U2 - 10.1016/j.molp.2015.06.005
DO - 10.1016/j.molp.2015.06.005
M3 - Article
C2 - 26099924
AN - SCOPUS:84943450041
SN - 1674-2052
VL - 8
SP - 1520
EP - 1535
JO - Molecular Plant
JF - Molecular Plant
IS - 10
ER -