Image-based root phenotyping for field-grown crops:An example under maize/soybean intercropping

Root architecture,which determines the water and nutrient uptake ability of crops,is highly plastic in response to soil environmental changes and different cultivation patterns.Root phenotyping for field-grown crops,especially topological trait extraction,is rarely performed.In this study,an image-based semi-automatic root phenotyping method for field-grown crops was developed.The method consisted of image acquisition,image denoising and segmentation,trait extraction and data analysis.Five global traits and 40 local traits were extracted with this method.A good consistency in 1st-order lateral root branching was observed between the visually counted values and the values extracted using the developed method,with R^(2)=0.97.Using the method,we found that the interspecific advantages for maize mainly occurred within 5 cm from the root base in the nodal roots of the 5th-7th nodes,and that the obvious inhibition of soybean was mostly reflected within 20 cm from the root base.Our study provides a novel approach with high-throughput and high-accuracy for field research on root morphology and branching features.It could be applied to the 3D reconstruction of field-grown root system architecture to improve the inputs to data-driven models(e.g.,OpenSimRoot)that simulate root growth,solute transport and water uptake.

Plasticity of wheat seedling responses to K^(+) deficiency highlighted by integrated phenotyping of roots and root hairs over the whole root system

The availability in the soil of potassium(K^(+)),a poorly mobile macronutrient required in large quantities for plant growth,is generally suboptimal for crop production in the absence of fertilization,making improvement of the ability of crops to adapt to K^(+)deficiency stress a major issue.Increasing the uptake capacity of the root system is among the main strategies to achieve this goal.Here,we report an integrative approach to examine the effect of K^(+)deficiency on the development of young plant entire root system,including root hairs which are known to provide a significant contribution to the uptake of poorly mobile nutrients such as K^(+),in two genetically distant wheat varieties.A rhizobox-type methodology was developed to obtain highly-resolved images of root and root hairs,allowing to describe global root and root hair traits over the whole root system via image analysis procedures.The two wheat varieties responded differently to the K^(+)shortage:Escandia,a wheat ancestor,reduced shoot biomass in condition of K^(+)shortage and substantially increased the surface area of its root system,specifically by increasing the total root hair area.Oued Zenati,a landrace,conversely appeared unresponsive to the K^(+)shortage but was shown to constitutively express,independently of the external K^(+)availability,favorable traits to cope with reduced K^(+)availability,among which a high total root hair area.Thus,valuable information on root system adaptation to K^(+)deficiency was provided by global analyses including root hairs,which should also be relevant for other nutrient stresses.

A new oxidative pathway of nitric oxide production from oximes in plants

Nitric oxide(NO)is an essential reactive oxygen species and a signal molecule in plants.Although several studies have proposed the occurrence of oxidative NO production,only reductive routes for NO production,such as the nitrate(NO_(3)^(-))-upper-reductase pathway,have been evidenced to date in land plants.However,plants grown axenically with ammonium as the sole source of nitrogen exhibit contents of nitrite and NO3−,evidencing the existence of a metabolic pathway for oxidative production of NO.We hypothesized that oximes,such as indole-3-acetaldoxime(IAOx),a precursor to indole-3-acetic acid,are intermediate oxidation products in NO synthesis.We detected the production of NO from IAOx and other oximes catalyzed by peroxidase(POD)enzyme using both 4-amino-5-methylamino-2′,7′-difluorescein fluorescence and chemiluminescence.Flavins stimulated the reaction,while superoxide dismutase inhibited it.Interestingly,mouse NO synthase can also use IAOx to produce NO at a lower rate than POD.We provided a full mechanism for POD-dependent NO production from IAOx consistent with the experimental data and supported by density functional theory calculations.We showed that the addition of IAOx to extracts from Medicago truncatula increased the in vitro production of NO,while in vivo supplementation of IAOx and other oximes increased the number of lateral roots,as shown for NO donors,and a more than 10-fold increase in IAOx dehydratase expression.Furthermore,we found that in vivo supplementation of IAOx increased NO production in Arabidopsis thaliana wild-type plants,while prx33-34 mutant plants,defective in POD33-34,had reduced production.Our data show that the release of NO by IAOx,as well as its auxinic effect,explain the superroot phenotype.Collectively,our study reveals that plants produce NO utilizing diverse molecules such as oximes,POD,and flavins,which are widely distributed in the plant kingdom,thus introducing a long-awaited oxidative pathway to NO production in plants.This knowledge has essential implications for understanding signaling in biological systems.

Evolving technologies for growing,imaging and analyzing 3D root system architecture of crop plants

A plant＇s ability to maintain or improve its yield under limiting conditions,such as nutrient de ficiency or drought,can be strongly in fluenced by root system architecture（RSA）,the three-dimensional distribution of the different root types in the soil. The ability to image,track and quantify these root system attributes in a dynamic fashion is a useful tool in assessing desirable genetic and physiological root traits. Recent advances in imaging technology and phenotyping software have resulted in substantive progress in describing and quantifying RSA. We have designed a hydroponic growth system which retains the three-dimensional RSA of the plant root system,while allowing for aeration,solution replenishment and the imposition of nutrient treatments,as well as high-quality imaging of the root system. The simplicity and flexibility of the system allows for modi fications tailored to the RSA of different crop species and improved throughput. This paper details the recent improvements and innovations in our root growth and imaging system which allows for greater image sensitivity（detection of fine roots and other root details）,higher ef ficiency,and a broad array of growing conditions for plants that more closely mimic those found under field conditions.