Bertrand Ney

Current knowledge on plant/canopy architectural traits that reduce the expression and development of epidemics

To reduce the use of pesticides, innovative studies have been developed to introduce the plant as the centre of the crop protection system. The aim of this paper is to explain how architectural traits of plants and canopies induce a more or less severe epidemic and how they may be modified in order to reduce disease development. In particular, it focuses on three key questions: i) which processes linked to epidemics can be influenced by architecture ii) how can architecture be characterized relative to these modes of action, and iii) how can these effects be explored and exploited? The roles of plant/canopy architecture on inoculum interception, on epidemic development via the microclimate and on tissue receptivity are discussed. In addition, the concepts of disease avoidance, canopy porosity and an ideotype unfavourable for disease development are described. This paper shows that many advances have already been made, but progress is still required in four main fields: microclimatology, mathematical modelling of plants, molecular genetics and ideotype conception.

Ara-rhizotron : An effective culture system to study simultaneously root and shoot development of Arabidopsis

Studying Arabidopsis thaliana (L.) Heynh. root development in situ at the whole plant level without affecting shoot development has always been a challenge. Such studies are usually carried out on individual plants, neglecting competition of a plant population, using hydroponic systems or Agar-filled Petri dishes. Those both systems, however, present some limitations, such as difficulty to study precisely root morphogenesis or time-limited culture period, respectively. In this paper, we present a method of Arabidopsis thaliana (L.) Heynh. cultivation in soil medium, named “Ara-rhizotron”. It allows the non-destructive study of shoot and root development simultaneously during the entire period of vegetative growth. In this system, roots are grown in 2D conditions, comparable to other soil cultures. Moreover, grouping several Ara-rhizotrons in a box enables the establishment of 3D shoot competition as for plants grown in a population. In comparison to a control culture grown in pots in the same environmental conditions, the Ara-rhizotron resulted in comparable shoot development in terms of dry mass, leaf area, number of leaves and nitrogen content. We used this new culture system to study the effect of irrigation modalities on plant development. We found that irrigation frequency only affected root partitioning in the soil and shoot nitrogen content, but not shoot or root growth. These effects appeared at the end of the vegetative growth period. This experiment highlights the opportunity offered by the Ara-rhizotron to point out tardy effects, affecting simultaneously shoot development and root architecture of plants grown in a population. We discuss its advantages in relation to root development and physiology, as well as its possible applications.

Improvement and validation of a pea crop growth model to simulate the growth of cultivars infected with Ascochyta blight (Mycosphaerella pinodes)

A model simulating the growth of a pea crop infected with Ascochyta blight was improved and validated using 6 spring pea cultivars, all equally susceptible to Ascochyta blight, but differing in architectural features (stem height, branching ability, standing ability). This model takes into account the spatial distribution of the disease, including the contribution of each layer of the canopy to the radiation interception efficiency (RIE) and the radiation use efficiency (RUE) of the crop. The decreasing contribution of each layer due to the disease was estimated by the relationship between the photosynthesis of a layer and its disease score. The effect of disease on photosynthesis was assessed in controlled conditions as a means of evaluating the effect of disease on each cultivar. All cultivars were affected equally. In field conditions, cultivars with different canopy architectures displayed differences in the profile of disease on leaves. Cultivar Aladin reached higher disease levels at the top of the plant. Epidemics affected crop growth, and the cultivars tested differed in the magnitude of the decrease in growth. Observed and simulated data were compared. The disease-coupled crop growth model gave satisfactory predictions of crop growth for the six cultivars tested.

Defining and designing plant architectural ideotypes to control epidemics

Ideotypes are a popular concept for plant breeders, who designate as such the ideal combinations of traits in a particular genotype to reach a pre-set production objective within a given socio-economic context. The historical, ‘genetic’ view of ideotypes has been more recently extended to cover the design of plant genotypes for specific cropping systems (the ‘agronomic’ view), or even the ideal combination of parameters, identified from formal or simulation modeling, to a specific agronomic problem (the ‘modelling’ view). These different forms of ideotypes in turn lead to different strategies for breeding plants. This paper will briefly describe, analyse and discuss some applications of these ideotype views, using the specific case of architectural traits of plant and crop canopies to limit the epidemic development of pests and diseases in crops. It is not intended to be an exhaustive and objective review of the existing literature on plant ideotypes, but rather to express as an ‘opinion’ paper the views discussed and elaborated among participants to the EpiArch network.

To what extent may changes in the root system architecture of Arabidopsis thaliana grown under contrasted homogenous nitrogen regimes be explained by changes in carbon supply? A modelling approach

Root system architecture adapts to low nitrogen (N) nutrition. Some adaptations may be mediated by modifications of carbon (C) fluxes. The objective of this study was to test the hypothesis that changes in root system architecture under different N regimes may be accounted for by using simple hypotheses of C allocation within the root system of Arabidopsis thaliana. With that purpose, a model during vegetative growth was developed that predicted the main traits of root system architecture (total root length, lateral root number, and specific root length). Different experimental data sets crossing three C levels and two N homogenous nutrition levels were generated. Parameters were estimated from an experiment carried out under medium C and high N conditions. They were then checked under other CxN conditions. It was found that the model was able to simulate correctly C effects on root architecture in both high and low N nutrition conditions, with the same parameter values. It was concluded that C flux modifications explained the major part of root system adaptation to N supply, even if they were not sufficient to simulate some changes, such as specific root length.

Crop architecture and crop tolerance to fungal diseases and insect herbivory. Mechanisms to limit crop losses

Plant tolerance to biotic stresses (mostly limited here to fungal pathogens and insects) is the ability of a plant to maintain performance in the presence of expressed disease or insect herbivory. It differs from resistance (the capacity to eliminate or limit pests and pathogens by genetic and molecular mechanisms) and avoidance (the ability to escape infection by epidemics). The ways to tolerance of pests and diseases are multiple and expressed at different scales. The contribution of organs to the capture and use of resources depends on canopy and root architecture, so the respective locations of disease and plant organs will have a strong effect on the crop’s response. Similarly, tolerance is increased when the period of crop sensitivity lies outside the period within which the pest or pathogen is present. The ability of the plant to compensate for the reduced acquisition of resources by the production of new organs or by remobilization of reserves may also mitigate biotic stress effects. Numerous examples exist in the literature and are described in this article. Quantification of tolerance remains difficult because of: (i) the large number of potential mechanisms involved; (ii) different rates of development of plants, pests and pathogens; and (iii) various compensatory mechanisms. Modelling is, therefore, a valuable tool to quantify losses, but also to prioritize the processes involved.

Analysis of the Density Effects on the Source-sink Dynamics in Sugar-Beet Growth

This paper aims at studying the capacity of an individual-based morphogenetic crop model of sugar beet growth - GreenLab - to predict the effects of population density on growth and yield.

Optimization of sugarcane farming as a multipurpose crop for energy and food production

Sugarcane is a multipurpose crop whose components may be used, in addition to sugar production, for various energy carriers or end‐products (electricity, liquid biofuels and heat) which enhance its economic potential. For many years, plant breeders and agronomists have focused on increasing sucrose yields per hectare and millers on increasing recoverable sucrose per ton of sugarcane in sugar mills. Attempting to exploit the energy potential of sugarcane more fully, calls for a more holistic approach focusing on both sucrose and lignocellulosic components of sugarcane biomass, and gaining some insight into the management practices required to optimize sugarcane cropping systems in these respects. Such options include genotype selection, harvest date with respect to the crops growing cycle, crop type (plant crop vs. ratoon crops) and harvesting systems (mechanical vs. manual). The effects of these factors are strongly modulated by climate and soil properties, and these interactions are overall poorly known. Here, we set out to examine sugarcane infield management × environmental interactions with respect to (i) sugarcane yield and partitioning of the aboveground biomass; and (ii) sugarcane milling products (recoverable sucrose yield and amounts of coproducts) and their derived energy carriers. Three Saccharum cv. cultivars (R570, R579 and R585) were planted in three locations on La Reunion Island with contrasting management practices and climatological conditions. Quality characteristics of the samples were assessed by conventional and near infrared spectroscopy methods. Product, coproducts and potential energy production were measured and computed using transfer equations and a mill‐operating model. Yields and quality characteristics from cultivars and harvesting systems were affected differently by environmental factors – low temperature and radiation, and water stress. The current study also provides valuable information on how combinations between environments, genotypes and practices affect yield and partitioning of the aboveground biomass, and food and energy production.

Modelling of Branch and Flower Expansion in GreenLab Model to Account for the Whole Crop Cycle of Winter Oilseed Rape (Brassica napus L.)

Functional-structural Plant Models are interesting tools to study interactions between architecture and environmental conditions. In the case of Winter Oilseed Rape (WOSR), we need a plant model that accounts for the role of source:sink relationships in the architectural development. GreenLab model is a good candidate because it was already used to evidence interactions between source:sink relationships and architecture for other species. However, its adaptation to WOSR is a challenge because of the complexity of its developmental scheme especially during reproductive phase. Indeed, we need to take into account the different timings of branch expansion and pod setting. Therefore two equations were added in GreenLab model to compute expansion delays for respectively branching and flowering of each axis.Experimental field data were used to estimate morphological parameters such as phyllochron, podochron,(equivalent to phyllochron but for pods), leaf expansion duration, and leaf life span. These data were also used to calibrate the source:sink module of the model. First results indicated that the model simulates properly the dynamics of plant growth and development during both vegetative and reproductive phases.

Are Yield and Biomass Distribution Affected by Sink Organ Clipping During Reproductive Phase of Winter Oilseed Rape (Brassica napus L.)

As many crops, Winter Oilseed Rape plants are sensitive to biotic or abiotic stresses, but, due to its plasticity reproductive organ losses can be compensated. In this case, biomass is allocated to remaining organs changing yield distribution within the plant. However, compensation remains variable and causes of this variability are still not completely understood. Due to sequential development, pod yield is distributed among axes unevenly. Indeed biomass of axis and biomass allocation to pods varies according to axis position. We suppose that efficiency of compensation at plant scale would depend on the position of axis implied. In the following study axes were clipped. Yield and biomass distribution within plant as well as efficiency of biomass allocation to reproductive organs were characterized. Our data assume that basal axes were mainly involved in compensation and that increase in pod yield on these axes was related to increase in dry mass with no modification of the efficiency allocation of biomass.