Role of fungal endophyte of tall fescue ( Epichloë coenophiala ) on water availability, wilting point and integral energy in texturally-different soils

Hosseini, Fatemeh; Mosaddeghi, Mohammad Reza; Hajabbasi, Mohammad Ali; Sabzalian, Mohammad R.

doi:10.1016/j.agwat.2015.09.024

Cited by 42 publications

(16 citation statements)

References 67 publications

(95 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The increased water levels in leaves of endophyte‐treated plants could be related to the improved ability of the plants to absorb water from the soil. This might be due to altered root architecture, as was demonstrated in E. coenophiala‐ infected tall fescue plants (Hosseini et al ., ). Indeed, both endophytes increased root biomass and modified root architecture, suggesting improved ability to absorb water.…”

Section: Discussionmentioning

confidence: 99%

Endophytes from wild cereals protect wheat plants from drought by alteration of physiological responses of the plants to water stress

Llorens

Sharon

Camañes

et al. 2019

Environmental Microbiology

View full text Add to dashboard Cite

Summary Endophytes contribute to plant performance, especially under harsh conditions. We therefore hypothesized that wild plants have retained beneficial endophytes that are less abundant or not present in related crop plants. To test this hypothesis, we selected two endophytes that were found in Sharon goatgrass, an ancestor of wheat, and tested their effect on bread wheat. Both endophytes infected wheat and improved sustainability and performance under water‐limited conditions. To determine how the endophytes modify plant development, we measured parameters of plant growth and physiological status and performed a comparative metabolomics analysis. Endophyte‐treated wheat plants had reduced levels of stress damage markers and reduced accumulation of stress‐adaptation metabolites. Metabolomics profiling revealed significant differences in the response to water stress of endophyte‐treated plants compared with untreated plants. Our results demonstrate the potential of endophytes from wild plants for improvement of related crops and show that the beneficial effects of two endophytes are associated with alteration of physiological responses to water‐limited conditions.

show abstract

Section: Discussionmentioning

confidence: 99%

Endophytes from wild cereals protect wheat plants from drought by alteration of physiological responses of the plants to water stress

Llorens

Sharon

Camañes

et al. 2019

Environmental Microbiology

View full text Add to dashboard Cite

show abstract

“…Reasonable management of the soil water content status is crucial for plant growth and crop production in arid and semi-arid regions (Lawes et al, 2009;Hosseini et al, 2016). The soil available water, AW (cm 3 cm…”

Section: Introductionmentioning

confidence: 99%

Predicting available water of soil from particle-size distribution and bulk density in an oasis–desert transect in northwestern China

Gao

Shao

et al. 2016

Journal of Hydrology

View full text Add to dashboard Cite

Keywords:Soil water characteristic curve Soil available water Pedotransfer functions Oasis-desert transect s u m m a r y A detailed understanding of soil hydraulic properties, particularly the available water content of soil, (AW, cm 3 cm À3), is required for optimal water management. Direct measurement of soil hydraulic properties is impractical for large scale application, but routinely available soil particle-size distribution (PSD) and bulk density can be used as proxies to develop various prediction functions. In this study, we compared the performance of the Arya and Paris (AP) model, Mohammadi and Vanclooster (MV) model, Arya and Heitman (AH) model, and Rosetta program in predicting the soil water characteristic curve (SWCC) at 34 points with experimental SWCC data in an oasis-desert transect (20 Â 5 km) in the middle reaches of the Heihe River basin, northwestern China. The idea of the three models emerges from the similarity of the shapes of the PSD and SWCC. The AP model, MV model, and Rosetta program performed better in predicting the SWCC than the AH model. The AW determined from the SWCCs predicted by the MV model agreed better with the experimental values than those derived from the AP model and Rosetta program. The fine-textured soils were characterized by higher AW values, while the sandy soils had lower AW values. The MV model has the advantages of having robust physical basis, being independent of databaserelated parameters, and involving subclasses of texture data. These features make it promising in predicting soil water retention at regional scales, serving for the application of hydrological models and the optimization of soil water management.

show abstract

“…It is usually estimated as the moisture content at a soil matric potential of -1500 kPa (Hillel, 1971). It is one of the important parameters for design and analysis of crop performance especially under drought conditions [1][2][3]. Understanding of pwp is one of the essential input functions, which is often used in interpretation of behavior of crop water consumption [4][5][6].…”

Section: Introductionmentioning

confidence: 99%

A new computational approach for estimation of wilting point for green infrastructure

Garg

Hou

et al. 2017

Measurement

View full text Add to dashboard Cite

Wilting point is an important parameter indicating the inhibition of plant transpiration processes, which is essential for green infrastructures. Generalization of wilting point is very essential for analyzing the hydrological performance of green infrastructures (e.g. green roofs, biofiltration systems) and ecological infrastructures (wetlands). Wilting point of various species is known to be affected by the factors such as soil clay content, soil organic matter, slope of soil water characteristic curve at inflection point (i.e., s index) and fractal dimension. Therefore, its practical usefulness forms the strong basis in developing the model that quantify wilting point with respects to the deterministic factors. This study proposes the wilting point model development task based on optimization approach of Genetic programming (GP) with respect to the input variables (soil clay content, soil organic matter, s-index and fractal dimension) for various type of soils. The GP model developed is further investigated by sensitivity and parametric analysis to discover the relationships between wilting point and input variables and the dominant inputs. Based on newly developed model, it was found that wilting point increases with fractal dimension while behaves highly non-linear with respect to clay and organic content. The combined effect of the clay and organic content was found to greatly influence the wilting point. It implies that wilting point should not be generalized as usually done in literature.

show abstract

Role of fungal endophyte of tall fescue ( Epichloë coenophiala ) on water availability, wilting point and integral energy in texturally-different soils

Cited by 42 publications

References 67 publications

Endophytes from wild cereals protect wheat plants from drought by alteration of physiological responses of the plants to water stress

Endophytes from wild cereals protect wheat plants from drought by alteration of physiological responses of the plants to water stress

Predicting available water of soil from particle-size distribution and bulk density in an oasis–desert transect in northwestern China

A new computational approach for estimation of wilting point for green infrastructure

Contact Info

Product

Resources

About