Durum wheat quality traits affected by mycorrhizal inoculation, water availability and atmospheric CO2 concentration

2016 ◽  
Vol 67 (2) ◽  
pp. 147 ◽  
Author(s):  
N. Goicoechea ◽  
M. M. Bettoni ◽  
T. Fuertes-Mendizábal ◽  
C. González-Murua ◽  
I. Aranjuelo
Keyword(s):  
Durum Wheat ◽  
Mycorrhizal Fungi ◽  
Water Regime ◽  
Grain Quality ◽  
Co2 Concentration ◽  
Quality Parameters ◽  
Atmospheric Co2 ◽  
Simultaneous Application ◽  
Atmospheric Co2 Concentration ◽  
Mycorrhizal Inoculation

Predicted reduced precipitation, enhanced evaporative demand and increasing CO2 in the atmosphere will strongly influence wheat production. The association of wheat with arbuscular mycorrhizal fungi (AMF) improves growth under stressful conditions. Our objective was to test the influence of mycorrhizal inoculation on yield, and accumulation of macro- and micro-nutrients and gliadins in grains of durum wheat (Triticum durum Desf.) plants grown under different CO2 concentrations and water regimes. The main factors of the experimental design were mycorrhizal inoculation (inoculated or non-inoculated plants); atmospheric CO2 concentration (ambient, ACO2, or elevated, ECO2); and water regime (optimal or restricted water regime). At ACO2, the simultaneous application of AMF and water deficit decreased the number of seeds per spike without affecting the biomass of grains, and grains accumulated higher contents of copper, iron, manganese, zinc and gliadins. The opposite effect was observed with ECO2 where, regardless of mycorrhizal and water treatment factors, a general depletion of contents of micro- and macro-nutrients and gliadins was detected. Whereas mycorrhizal inoculation together with drought applied to plants cultivated at ACO2 improved wheat grain quality parameters, under ECO2, mycorrhization did not ameliorate grain quality parameters detected in plants that produced the largest grain dry matter values.

Elevated Atmospheric CO2 Concentration Has Limited Effect on Wheat Grain Quality Regardless of Nitrogen Supply

2020 ◽  
Vol 68 (12) ◽  
pp. 3711-3721 ◽  
Author(s):  
Markus Dier ◽  
Liane Hüther ◽  
Waltraud X. Schulze ◽  
Martin Erbs ◽  
Peter Köhler ◽  
...  
Keyword(s):  
Grain Quality ◽  
Co2 Concentration ◽  
Nitrogen Supply ◽  
Atmospheric Co2 ◽  
Wheat Grain ◽  
Limited Effect ◽  
Elevated Atmospheric Co2 ◽  
Atmospheric Co2 Concentration

scholarly journals Pearl millet growth and biochemical alterations determined by mycorrhizal inoculation, water availability and atmospheric CO2 concentration

2015 ◽  
Vol 66 (8) ◽  
pp. 831 ◽  
Author(s):  
Eliseu G. Fabbrin ◽  
Yolanda Gogorcena ◽  
Átila F. Mogor ◽  
Idoia Garmendia ◽  
Nieves Goicoechea
Keyword(s):  
Water Content ◽  
Pearl Millet ◽  
Elevated Co2 ◽  
Biomass Production ◽  
Water Regime ◽  
Soluble Sugars ◽  
Co2 Concentration ◽  
Atmospheric Co2 ◽  
Mycorrhizal Inoculation

Pearl millet (Pennisetum glaucum L.) is an important fodder and is a potential feedstock for fuel ethanol production in dry areas. Our objectives were to assess the effect of elevated CO2 and/or reduced irrigation on biomass production and levels of sugars and proteins in leaves of pearl millet and to test whether mycorrhizal inoculation could modulate the effects of these abiotic factors on growth and metabolism. Results showed that mycorrhizal inoculation and water regime most influenced biomass of shoots and roots; however, their individual effects were dependent on the atmospheric CO2 concentration. At ambient CO2, mycorrhizal inoculation helped to alleviate effects of water deficit on pearl millet without significant decreases in biomass production, which contrasted with the low biomass of mycorrhizal plants under restricted irrigation and elevated CO2. Mycorrhizal inoculation enhanced water content in shoots, whereas reduced irrigation decreased water content in roots. The triple interaction between CO2, arbuscular mycorrhizal fungi (AMF) and water regime significantly affected the total amount of soluble sugars and determined the predominant soluble sugars in leaves. Under optimal irrigation, elevated CO2 increased the proportion of hexoses in pearl millet that was not inoculated with AMF, thus improving the quality of this plant material for bioethanol production. By contrast, elevated CO2 decreased the levels of proteins in leaves, thus limiting the quality of pearl millet as fodder and primary source for cattle feed.

Effect of multigenerational exposure to elevated atmospheric CO2 concentration on grain quality in wheat

2019 ◽  
Vol 157 ◽  
pp. 310-319 ◽  
Author(s):  
Xiangnan Li ◽  
Aneela Ulfat ◽  
Zhaoyan Lv ◽  
Liang Fang ◽  
Dong Jiang ◽  
...  
Keyword(s):  
Grain Quality ◽  
Co2 Concentration ◽  
Atmospheric Co2 ◽  
Elevated Atmospheric Co2 ◽  
Atmospheric Co2 Concentration

scholarly journals Response of simulated burned area to historical changes in environmental and anthropogenic factors: a comparison of seven fire models

2019 ◽  
Vol 16 (19) ◽  
pp. 3883-3910 ◽  
Author(s):  
Lina Teckentrup ◽  
Sandy P. Harrison ◽  
Stijn Hantson ◽  
Angelika Heil ◽  
Joe R. Melton ◽  
...  
Keyword(s):  
Land Use ◽  
Co2 Concentration ◽  
Fire Regimes ◽  
Atmospheric Co2 ◽  
Anthropogenic Factors ◽  
Burned Area ◽  
Earth System ◽  
Atmospheric Co2 Concentration ◽  
Fire Models ◽  
The Impact

Abstract. Understanding how fire regimes change over time is of major importance for understanding their future impact on the Earth system, including society. Large differences in simulated burned area between fire models show that there is substantial uncertainty associated with modelling global change impacts on fire regimes. We draw here on sensitivity simulations made by seven global dynamic vegetation models participating in the Fire Model Intercomparison Project (FireMIP) to understand how differences in models translate into differences in fire regime projections. The sensitivity experiments isolate the impact of the individual drivers on simulated burned area, which are prescribed in the simulations. Specifically these drivers are atmospheric CO2 concentration, population density, land-use change, lightning and climate. The seven models capture spatial patterns in burned area. However, they show considerable differences in the burned area trends since 1921. We analyse the trajectories of differences between the sensitivity and reference simulation to improve our understanding of what drives the global trends in burned area. Where it is possible, we link the inter-model differences to model assumptions. Overall, these analyses reveal that the largest uncertainties in simulating global historical burned area are related to the representation of anthropogenic ignitions and suppression and effects of land use on vegetation and fire. In line with previous studies this highlights the need to improve our understanding and model representation of the relationship between human activities and fire to improve our abilities to model fire within Earth system model applications. Only two models show a strong response to atmospheric CO2 concentration. The effects of changes in atmospheric CO2 concentration on fire are complex and quantitative information of how fuel loads and how flammability changes due to this factor is missing. The response to lightning on global scale is low. The response of burned area to climate is spatially heterogeneous and has a strong inter-annual variation. Climate is therefore likely more important than the other factors for short-term variations and extremes in burned area. This study provides a basis to understand the uncertainties in global fire modelling. Both improvements in process understanding and observational constraints reduce uncertainties in modelling burned area trends.

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