|Auxin (IAA) treatment||Ristova et al., (2018): Natural Genetic Variation Shapes Root System Responses to Phytohormones in Arabidopsis. Plant Journal. DOI: 10.1111/tpj.14034.||9||Jan/16/2019|
|Control (C) treatment||Ristova et al., (2018): Natural Genetic Variation Shapes Root System Responses to Phytohormones in Arabidopsis. Plant Journal. DOI: 10.1111/tpj.14034.||9||Jan/16/2019|
|Salt induced changes in Root System Architecture||Salt stress affects not only plant size, but also plant architecture. In this study, we focused on salt stress-induced changes to Root System Architecture, by germinating the seedlings on vertical agar growth medium (no salt) and transplanting 4 days old seedlings into plates containing 0, 75 and 125 mM NaCl. The Root System Architecture phenotypes were quantified using EZ-Rhizo software for at least 4 replicates per accession per condition. The plants grown under control conditions were measured 4 days after transfer (8 days after germination), while plants growing at both salt stress conditions were measured 8 days after transfer (12 days after germination). The Root System Architecture traits include Main Root Length, Total Root Size, Lateral Root Length and ~ Density, as well as the length of individual zones (basal, branching, apical) on the main root.
The results of this study were published as Julkowska et al., Plant Cell, 2018, https://doi.org/10.1105/tpc.16.00680||59||Jun/30/2019|
|1001genomes flowering time phenotypes||Study of flowering time at 16°C (FT16) and flowering time at 10°C (FT10) that where phenotype for the 1001genomes project.||2||Aug/14/2016|
|Adaptive diversification of growth allometry in the plant Arabidopsis thaliana||The file contains average trait values per accession for plant life cycle duration ('LifeCyleDuration', days), total fruit number ('FruitNumber'), final rosette dry mass ('rosetteDM', mg), absolute growth rate ('GrowthRate', mg d-1), relative growth rate ('RGR', mg d-1 g-1), and the scaling exponent ('ScalingExponent').
Accessions are identified with their 1001-genomes IDs (http://1001genomes.org/).||5||Apr/03/2019|
|Flowering time in simulated seasons||Two independent experiments were conducted in this study. Experiment 1 was done with a mapping population of 360 accessions (33), and Experiment 2 used a set of 473 accessions. Each accession in each experiment had four replicates under each of the four growth conditions (two planting seasons by two locations).
Both experiments were conducted in two walk-in growth chambers (AR-916, Percival Scientific) that were programmed to cycle the local climates every 5 min from the simulated weather files. The simulated climates were generated by using SolarCalc (35) with sunrise and sunset, light spectrum, temperature, and relative humidity programmed to cycle throughout the day and the season according to 1975?2000 averages (Fig. S5). One chamber was simulating Spain (latitude 41.72091, longitude 2.957075) starting from March 1, and the other chamber was simulating Sweden (latitude 55.71226, longitude 13.207352) starting from May 1st on the first day when plants were put into the chambers.||34||Aug/13/2016|