Phenotypic Data of Arugula (Eruca sativa Mill.) Accessions Provided by the IPK Genebank
Description
This Excel file contains all 68 phenotypic traits measured at various growth stages for each of the 16 arugula accessions obtained from the Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) genebank. The IPK genebank has also requested that this dataset be deposited in a public repository for long-term access and citation.
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Steps to reproduce
An incomplete randomized block design was employed for cultivation in this experiment. The cultivation cycle was designed to last 28 days, starting from the day of seed sowing. On the first day, ten seeds of each accession were sown on hydroponic sponges soaked in a freshly prepared nutrient solution with an electrical conductivity (EC) of 0.5 mS/cm. They were germinated in controlled conditions (temperature: 21 degree Celsius, relative humidity (RH): 70% - 80%, light duration: 12 hours). Ten days later, EC was increased to 1.0 mS/cm for further growth. Another four days later (two weeks after seed sowing), the seedlings were transferred to a cultivation rack with higher nutrient content under controlled conditions (temperature: 21 degree Celsius, RH: 70% - 80%, light duration: 16 hours, EC: 1.5 mS/cm). The seedlings were allowed to grow exponentially for the next 14 days (two weeks), before being harvested on day 28. Three phenotyping methods (one manual and two high-throughput) were employed in this study. Manual measurements for above-ground plant and leaf weights were conducted using a calibrated weighing balance, while quantum yield was measured with a handheld fluorometer, PAR FluorPen FP110/P. For manual measurement of Brix, leaf juice was extracted by grinding 3 grams of leaf sample in molecular grade water (1:2), followed by centrifugation to obtain supernatant. Brix value was then measured using a handheld digital refractometer (ATAGO, PAL-1). The first high-throughput measurement was conducted at 14 and 21 days after sowing (DAS) using a semi-automated machine, PlantEye F500 multispectral 3D scanner (equipment of National University of Singapore) to capture the vegetative plant yield-, plant architecture-, hyperspectral-related traits. Pictures were taken from a top-down view of every individual to capture the canopy structure, and the second high-throughput measurement was performed on an image processing platform (EasyPCC) using the package, “EasyPCC_V2” to capture vegetative plant yield- and canopy density-related traits. Furthermore, derivative quantitative traits were developed from the primary traits to expand the range of options for trait selection under indoor farming conditions. Post-harvest traits, including relative chlorophyll degradation and relative water loss of leaves – derived from quantum yield (QY) and fresh weight (FW), respectively – were assessed to evaluate plant shelf-life. The presence and absence of flowering in each individual plant was recorded as binary data on the harvesting day. Then, two flowering derivative traits, flowering consistency (FC) and the early flowering individuals’ proportion by 28 DAS (EF) were evaluated for each accession. In addition to quantitative and derivative quantitative traits, ten qualitative traits were assessed following the defined descriptive value. The same pictures taken for the canopy measurement of quantitative traits were used to evaluate the ten qualitative traits.
Institutions
- National University of Singapore