Image_1_Towards Sensor-Based Phenotyping of Physical Barriers of Grapes to Improve Resilience to Botrytis Bunch Rot.TIF by Katja Herzog (6185465)

“…In comparison to the category of traditional varieties (mostly susceptible), elite breeding lines show an impressive increased Z_REL value (+317) and a 1-μm thicker berry cuticle. Quantitative trait loci (QTLs) on LGs 2, 6, 11, 15, and 16 were identified for Z_REL and berry texture explaining a phenotypic variance of between 3 and 10.9%. …”

Table_4_Towards Sensor-Based Phenotyping of Physical Barriers of Grapes to Improve Resilience to Botrytis Bunch Rot.xlsx by Katja Herzog (6185465)

“…In comparison to the category of traditional varieties (mostly susceptible), elite breeding lines show an impressive increased Z_REL value (+317) and a 1-μm thicker berry cuticle. Quantitative trait loci (QTLs) on LGs 2, 6, 11, 15, and 16 were identified for Z_REL and berry texture explaining a phenotypic variance of between 3 and 10.9%. …”

Table_9_Towards Sensor-Based Phenotyping of Physical Barriers of Grapes to Improve Resilience to Botrytis Bunch Rot.xlsx by Katja Herzog (6185465)

“…In comparison to the category of traditional varieties (mostly susceptible), elite breeding lines show an impressive increased Z_REL value (+317) and a 1-μm thicker berry cuticle. Quantitative trait loci (QTLs) on LGs 2, 6, 11, 15, and 16 were identified for Z_REL and berry texture explaining a phenotypic variance of between 3 and 10.9%. …”

Image_2_Towards Sensor-Based Phenotyping of Physical Barriers of Grapes to Improve Resilience to Botrytis Bunch Rot.TIF by Katja Herzog (6185465)

“…In comparison to the category of traditional varieties (mostly susceptible), elite breeding lines show an impressive increased Z_REL value (+317) and a 1-μm thicker berry cuticle. Quantitative trait loci (QTLs) on LGs 2, 6, 11, 15, and 16 were identified for Z_REL and berry texture explaining a phenotypic variance of between 3 and 10.9%. …”

Patient characteristics. by Zhiwei Li (131853)

“…Furthermore, PCV-VG was associated with an increased center of ventilation (45.1 ± 3.7 vs. 41.7 ± 3.5, P < 0.05), a decrease in global inhomogeneity (GI) (0.85 ± 0.16 vs. 1.06 ± 0.30, P < 0.05), and a reduction in regional ventilation delay index (RVDI) (10.5 ± 4.5 vs. 15.9 ± 5.3, P < 0.05), when compared to VCV. …”

Table_1_Towards Sensor-Based Phenotyping of Physical Barriers of Grapes to Improve Resilience to Botrytis Bunch Rot.xlsx by Katja Herzog (6185465)

“…In comparison to the category of traditional varieties (mostly susceptible), elite breeding lines show an impressive increased Z_REL value (+317) and a 1-μm thicker berry cuticle. Quantitative trait loci (QTLs) on LGs 2, 6, 11, 15, and 16 were identified for Z_REL and berry texture explaining a phenotypic variance of between 3 and 10.9%. …”

Image_3_Towards Sensor-Based Phenotyping of Physical Barriers of Grapes to Improve Resilience to Botrytis Bunch Rot.TIF by Katja Herzog (6185465)

“…In comparison to the category of traditional varieties (mostly susceptible), elite breeding lines show an impressive increased Z_REL value (+317) and a 1-μm thicker berry cuticle. Quantitative trait loci (QTLs) on LGs 2, 6, 11, 15, and 16 were identified for Z_REL and berry texture explaining a phenotypic variance of between 3 and 10.9%. …”

Fer expression in zebrafish embryos and Fer MO induced splicing defects. by Jeroen Paardekooper Overman (552100)

“…RT-PCR showing <i>Fer</i> product in Nacre control MO and Fer e9i9 MO injected embryos with a decrease in size of the product in e9i9 MO injected embryos. …”

Table_7_Towards Sensor-Based Phenotyping of Physical Barriers of Grapes to Improve Resilience to Botrytis Bunch Rot.xlsx by Katja Herzog (6185465)

“…In comparison to the category of traditional varieties (mostly susceptible), elite breeding lines show an impressive increased Z_REL value (+317) and a 1-μm thicker berry cuticle. Quantitative trait loci (QTLs) on LGs 2, 6, 11, 15, and 16 were identified for Z_REL and berry texture explaining a phenotypic variance of between 3 and 10.9%. …”

Table_3_Towards Sensor-Based Phenotyping of Physical Barriers of Grapes to Improve Resilience to Botrytis Bunch Rot.XLSX by Katja Herzog (6185465)

“…In comparison to the category of traditional varieties (mostly susceptible), elite breeding lines show an impressive increased Z_REL value (+317) and a 1-μm thicker berry cuticle. Quantitative trait loci (QTLs) on LGs 2, 6, 11, 15, and 16 were identified for Z_REL and berry texture explaining a phenotypic variance of between 3 and 10.9%. …”

Sample characteristics. Median (IQR) and n (%). by Alexandra Irene Kalbus (19165230)

“…In 2019, there was some evidence for a 1.4% decrease in energy purchased from ultra-processed foods for each additional 500 m in the distance to the nearest OOH outlet (IR 0.986, 95% CI 0.977 to 0.995, <i>p</i> = 0.020). …”

Classification of supermarkets. by Alexandra Irene Kalbus (19165230)

“…In 2019, there was some evidence for a 1.4% decrease in energy purchased from ultra-processed foods for each additional 500 m in the distance to the nearest OOH outlet (IR 0.986, 95% CI 0.977 to 0.995, <i>p</i> = 0.020). …”

Table_5_Towards Sensor-Based Phenotyping of Physical Barriers of Grapes to Improve Resilience to Botrytis Bunch Rot.XLSX by Katja Herzog (6185465)

“…In comparison to the category of traditional varieties (mostly susceptible), elite breeding lines show an impressive increased Z_REL value (+317) and a 1-μm thicker berry cuticle. Quantitative trait loci (QTLs) on LGs 2, 6, 11, 15, and 16 were identified for Z_REL and berry texture explaining a phenotypic variance of between 3 and 10.9%. …”

CONSORT flow chart of included patients. by Zhiwei Li (131853)

“…Furthermore, PCV-VG was associated with an increased center of ventilation (45.1 ± 3.7 vs. 41.7 ± 3.5, P < 0.05), a decrease in global inhomogeneity (GI) (0.85 ± 0.16 vs. 1.06 ± 0.30, P < 0.05), and a reduction in regional ventilation delay index (RVDI) (10.5 ± 4.5 vs. 15.9 ± 5.3, P < 0.05), when compared to VCV. …”

Table_2_Towards Sensor-Based Phenotyping of Physical Barriers of Grapes to Improve Resilience to Botrytis Bunch Rot.xlsx by Katja Herzog (6185465)

“…In comparison to the category of traditional varieties (mostly susceptible), elite breeding lines show an impressive increased Z_REL value (+317) and a 1-μm thicker berry cuticle. Quantitative trait loci (QTLs) on LGs 2, 6, 11, 15, and 16 were identified for Z_REL and berry texture explaining a phenotypic variance of between 3 and 10.9%. …”

Table_8_Towards Sensor-Based Phenotyping of Physical Barriers of Grapes to Improve Resilience to Botrytis Bunch Rot.xlsx by Katja Herzog (6185465)

“…In comparison to the category of traditional varieties (mostly susceptible), elite breeding lines show an impressive increased Z_REL value (+317) and a 1-μm thicker berry cuticle. Quantitative trait loci (QTLs) on LGs 2, 6, 11, 15, and 16 were identified for Z_REL and berry texture explaining a phenotypic variance of between 3 and 10.9%. …”

Table_6_Towards Sensor-Based Phenotyping of Physical Barriers of Grapes to Improve Resilience to Botrytis Bunch Rot.XLSX by Katja Herzog (6185465)

“…In comparison to the category of traditional varieties (mostly susceptible), elite breeding lines show an impressive increased Z_REL value (+317) and a 1-μm thicker berry cuticle. Quantitative trait loci (QTLs) on LGs 2, 6, 11, 15, and 16 were identified for Z_REL and berry texture explaining a phenotypic variance of between 3 and 10.9%. …”

Ventilation parameters. by Zhiwei Li (131853)

“…Furthermore, PCV-VG was associated with an increased center of ventilation (45.1 ± 3.7 vs. 41.7 ± 3.5, P < 0.05), a decrease in global inhomogeneity (GI) (0.85 ± 0.16 vs. 1.06 ± 0.30, P < 0.05), and a reduction in regional ventilation delay index (RVDI) (10.5 ± 4.5 vs. 15.9 ± 5.3, P < 0.05), when compared to VCV. …”

Evolutionary history of deuterostome chromosome architectures. by Che-Yi Lin (218292)

“…The data underlying this figure can be found in <a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.3002661#pbio.3002661.s028" target="_blank">S1 Data</a>. …”

Rrp14 controls rRNA transcription via facilitating the translocation of Pol5 into the nucleolus by Zhen Lin (172016)

“…We identified a novel Pol5 protein that physically interacts with the Rrp14 protein. …”