Effects of NaCl salinity on miniature dwarf tomato ‘Micro‐Tom’: I. Growth analyses and nutrient composition1

1992 ◽  
Vol 15 (11) ◽  
pp. 2315-2327 ◽  
Author(s):  
S.L. Knight ◽  
R.B. Rogers ◽  
M.A.L. Smith ◽  
L.A. Sporaer
Keyword(s):  
Nacl Salinity ◽  
Growth Analyses

scholarly journals Latent Class Growth Analysis and Growth Mixture Modeling using R: A tutorial for two R-packages and a comparison with Mplus.

2020 ◽  
Author(s):  
Klaas J Wardenaar
Keyword(s):  
Latent Class ◽  
Growth Mixture Modeling ◽  
Mixture Modeling ◽  
Growth Trajectories ◽  
Growth Mixture ◽  
Software Packages ◽  
Model Configuration ◽  
R Packages ◽  
Latent Class Growth ◽  
Growth Analyses

Latent Class Growth Analyses (LCGA) and Growth Mixture Modeling (GMM) analyses are used to explain between-subject heterogeneity in growth on an outcome, by identifying latent classes with different growth trajectories. Dedicated software packages are available to estimate these models, with Mplus (Muthén & Muthén, 2019) being widely used . Although this and other available commercial software packages are of good quality, very flexible and rich in options, they can be costly and fit poorly into the analytical workflow of researchers that increasingly depend on the open-source R-platform. Interestingly, although plenty of R-packages to conduct mixture analyses are available, there is little documentation on how to conduct LCGA/GMM in R. Therefore, the current paper aims to provide applied researchers with a tutorial and coding examples for conducting LCGA and GMM in R. Furthermore, it will be evaluated how results obtained with R and the modeling approaches (e.g., default settings, model configuration) of the used R-packages compare to each other and to Mplus.

Investigation of a chlorsulfuron-resistant chickweed [Stellaria media (L.) Vill.] population

1994 ◽  
Vol 74 (4) ◽  
pp. 693-697 ◽  
Author(s):  
J. T. O'Donovan ◽  
G. M. Jeffers ◽  
M. P. Sharma ◽  
D. Maurice
Keyword(s):  
Field Experiments ◽  
Dry Weight ◽  
Sulfonylurea Herbicides ◽  
Percentage Germination ◽  
Flower Number ◽  
Stellaria Media ◽  
Shoot Dry Weight ◽  
Excellent Control ◽  
Two Populations ◽  
Growth Analyses

A chickweed population (R) from a farm near Stony Plain, Alberta, was more resistant to chlorsulfuron than a population (S) collected near Vegreville, Alberta. In greenhouse experiments, the S population was controlled completely by chlorsulfuron applied at 5 g ha−1, whereas 22 g ha−1 was required to reduce dry weight of the R population by 50%. Experiments conducted in a germinator indicated that percentage germination of the R population was higher than that of the S population up to ~ 60 h. Growth analyses in the greenhouse indicated that leaf number, leaf area, shoot dry weight, days to flowering, flower number, seed weight and relative yields differed little between the two populations. In field experiments, control of the R population was poor with the sulfonylurea herbicides, chlorsulfuron, metsulfuron methyl, triasulfuron, amidosulfuron and thifensulfuron. Good to excellent control was obtained with cyanazine/MCPA, linuron, metribuzin, mecoprop, bentazon, metribuzin + MCPA, linuron + MCPA, and mecoprop + bentazon. Key words: Sulfonylurea herbicides, chlorsulfuron, herbicide resistance, relative competitiveness

Crack growth analyses and correlations for attachment lugs

1983 ◽  
Author(s):  
K. KATHIRESAN ◽  
T. BRUSSAT ◽  
J. RUDD
Keyword(s):  
Crack Growth ◽  
Growth Analyses
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