Ai Feedback
Exact(6)
The mean fresh weight at weeks 60 and 104 were 15.6 and 208.1 g, respectively.
A significant decrease in fresh weight was observed after 72 hr exposure to 1-octen-3-ol, 2-ethylhexanal, and 2-heptylfuran, where the mean fresh weight was respectively 6.7 mg (±2.7 SE), 11.2 mg (±4.9 SE), and 6.3 mg (±5.4 SE) less than controls.
Biomass was estimated by mean fresh weight of the pooled shoots.
The standard error (SE) on the mean fresh weight (FW), dry weight (DW) or length of shoot and root was calculated.
The sixty-day-old harvested fresh and surface moisture-free purslane plants were weighed in g using electric balance and mean fresh weight (FW) was calculated.
Mean fresh weight of roots and shoots of Parviglumis, Mixteco, and Pioneer plants grown in controlled conditions within a growth chamber either on sterile sand, Canadian soil, or Mexican soil.
Similar(54)
It turned out to be associated with mean berry weight, percentage of seed dry matter, mean seed fresh weight and mean seed dry weight and was located on contig AM464881.2, very close to the predicted gene for Vitis vinifera MADS-box protein 5.
The same region was identified in our paternal and consensus maps for three years and explained a great proportion of the phenotypic variance for mean berry weight (27.2 43.1%), percentage of seed dry matter (86.5 91.4%, only in Big Perlon), mean seed fresh weight (13.8 27.5%) and mean seed dry weight (49.3 75.0%).
From these measures mean seed number per berry (MSN), percentage of seed dry matter (% SDM = TSDW/TSFW*100), mean seed fresh weight (MSFW = TSFW/SN) and mean seed dry weight (MSDW = TSDW/SN) were computed.
Non-parametric Spearman analysis showed a correlation between mean seed fresh weight per berry (SFW) and mean berry weight (BW) of 69.0%, 67.8% and 64.6% for the 2007, 2009 and 2010 seasons, respectively (α = 0.05).
For mean seed number per berry (MSN), mean seed fresh weight per berry (MSFW), total seed fresh weight per berry (TSFW) and seed dry matter percentage (%SDM), we confirmed the already described major QTL on LG 18 near VMC7F2, that explained up to 59%, 87%, 82% and 35% of the total variance, respectively.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com