Cultivar mixture effects on disease and yield remain despite diversity in wheat height and earliness

2020 ◽  
Vol 69 (6) ◽  
pp. 1148-1160
Author(s):  
Tiphaine Vidal ◽  
Sébastien Saint‐Jean ◽  
Pauline Lusley ◽  
Marc Leconte ◽  
Safa Ben Krima ◽  
...  
2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Matthias Suter ◽  
Olivier Huguenin-Elie ◽  
Andreas Lüscher

AbstractAssessing the overall performance of ecosystems requires a quantitative evaluation of multifunctionality. We investigated plant species diversity effects on individual functions and overall multifunctionality in a grassland experiment with sown monocultures and mixtures comprising four key grass and legume species. Nitrogen fertilisation rates were 50, 150, and 450 kg N ha−1 yr−1 (N50, N150, N450). Ten functions were measured representing forage production, N cycling, and forage quality, all being related to either productivity or environmental footprint. Multifunctionality was analysed by a novel approach using the mean log response ratio across functions. Over three experimental years, mixture effects benefited all forage production and N cycling functions, while sustaining high forage quality. Thus, mixture effects did not provoke any trade-off among the analysed functions. High N fertilisation rates generally diminished mixture benefits. Multifunctionality of four-species mixtures was considerably enhanced, and mixture overall performance was up to 1.9 (N50), 1.8 (N150), and 1.6 times (N450) higher than in averaged monocultures. Multifunctionality of four-species mixtures at N50 was at least as high as in grass monocultures at N450. Sown grass–legume mixtures combining few complementary species at low to moderate N fertilisation sustain high multifunctionality and are a ‘ready-to-use’ option for the sustainable intensification of agriculture.


Processes ◽  
2021 ◽  
Vol 9 (5) ◽  
pp. 830
Author(s):  
Viktor Vajc ◽  
Radek Šulc ◽  
Martin Dostál

Heat transfer coefficients were investigated for saturated nucleate pool boiling of binary mixtures of water and glycerin at atmospheric pressure in a wide range of concentrations and heat fluxes. Mixtures with water mass fractions from 100% to 40% were boiled on a horizontal flat copper surface at heat fluxes from about 25 up to 270kWm−2. Experiments were carried out by static and dynamic method of measurement. Results of the static method show that the impact of mixture effects on heat transfer coefficient cannot be neglected and ideal heat transfer coefficient has to be corrected for all investigated concentrations and heat fluxes. Experimental data are correlated with the empirical correlation α=0.59q0.714+0.130ωw with mean relative error of 6%. Taking mixture effects into account, data are also successfully correlated with the combination of Stephan and Abdelsalam (1980) and Schlünder (1982) correlations with mean relative error of about 15%. Recommended coefficients of Schlünder correlation C0=1 and βL=2×10−4ms−1 were found to be acceptable for all investigated mixtures. The dynamic method was developed for fast measurement of heat transfer coefficients at continuous change of composition of boiling mixture. The dynamic method was tested for water–glycerin mixtures with water mass fractions from 70% down to 35%. Results of the dynamic method were found to be comparable with the static method. For water–glycerin mixtures with higher water mass fractions, precise temperature measurements are needed.


2021 ◽  
Vol 55 (4) ◽  
pp. 2430-2439
Author(s):  
Sylvain Bart ◽  
Tjalling Jager ◽  
Alex Robinson ◽  
Elma Lahive ◽  
David J. Spurgeon ◽  
...  

Toxicology ◽  
2021 ◽  
pp. 152839
Author(s):  
Felix F. Schmidt ◽  
Dajana Lichtenstein ◽  
Hannes Planatscher ◽  
Almut Mentz ◽  
Joern Kalinowski ◽  
...  

2021 ◽  
Vol 350 ◽  
pp. S237
Author(s):  
M. Karaca ◽  
B. Fischer ◽  
C.T. Willenbockel ◽  
P. Marx-Stoelting ◽  
D. Bloch

2013 ◽  
Vol 298 ◽  
pp. 71-81 ◽  
Author(s):  
Justin Waskiewicz ◽  
Laura Kenefic ◽  
Aaron Weiskittel ◽  
Robert Seymour

2020 ◽  
Vol 2020 (1) ◽  
Author(s):  
Y. Levin-Schwartz ◽  
B. Claus Henn ◽  
C. Gennings ◽  
B. A. Coull ◽  
D. Placidi ◽  
...  

Pain ◽  
1977 ◽  
Vol 3 (3) ◽  
pp. 288
Author(s):  
R. Melzack ◽  
B. M. Mount

2015 ◽  
Vol 34 (6) ◽  
pp. 534-542 ◽  
Author(s):  
Frederik Knud Nielsen ◽  
Cecilie Hurup Hansen ◽  
Jennifer Anna Fey ◽  
Martin Hansen ◽  
Bent Halling-Sørensen ◽  
...  

Mixture effects of 3 model endocrine disruptors, prochloraz, ketoconazole, and genistein, on steroidogenesis were tested in the adrenocortical H295R cell line. Seven key steroid hormones (pregnenolone, progesterone, dehydroepiandrosterone, androstenedione, testosterone, estrone, and 17β-estradiol) were analyzed using gas chromatography and tandem mass spectrometry (GC-MS/MS) to investigate the effects throughout the steroidogenic pathway. Current modeling approaches often rely on models assuming compounds acting independently and that the individual effects in some way can be summarized to predict a mixture effect. In H295R cells with an intact steroidogenic pathway, such assumptions may not be feasible. The purpose of this study was therefore to evaluate whether effects of a mixture with differing modes of action followed or deviated from additivity (concentration addition) and whether the H295R cell line was suitable for evaluating mixture toxicity of endocrine disruptors with different modes of action. The compounds were chosen because they interfere with steroidogenesis in different ways. They all individually decrease the concentrations of the main sex steroids downstream but exert different effects upstream in the steroidogenic pathway. Throughout the study, we observed lowest observed effect concentrations of mixtures at levels 2 to 10 times higher than the predicted EC50, strongly indicating antagonistic effects. The results demonstrate that chemical analysis combined with the H295R cell assay is a useful tool also for studying how mixtures of endocrine disruptors with differing modes of action interfere with the steroidogenic pathway and that existing models like concentration addition are insufficient in such cases. Furthermore, for end points where compounds exert opposite effects, no relevant models are available.


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