TY - JOUR AU - Junttila, Samuli AU - Campos, Mariana AU - Hölttä, Teemu AU - Lindfors, Lauri AU - El Issaoui, Aimad AU - Vastaranta, Mikko AU - Hyyppä, Hannu AU - Puttonen, Eetu TI - Tree Water Status Affects Tree Branch Position JF - FORESTS J2 - FORESTS VL - 13 PY - 2022 IS - 5 SP - 728 SN - 1999-4907 DO - 10.3390/f13050728 UR - https://m2.mtmt.hu/api/publication/32870339 ID - 32870339 LA - English DB - MTMT ER - TY - JOUR AU - Jin, Shichao AU - Su, Yanjun AU - Zhang, Yongguang AU - Song, Shilin AU - Li, Qing AU - Liu, Zhonghua AU - Ma, Qin AU - Ge, Yan AU - Liu, LingLi AU - Ding, Yanfeng AU - Baret, Frederic AU - Guo, Qinghua TI - Exploring Seasonal and Circadian Rhythms in Structural Traits of Field Maize from LiDAR Time Series JF - Plant Phenomics VL - 2021 PY - 2021 PG - 15 SN - 2643-6515 DO - 10.34133/2021/9895241 UR - https://m2.mtmt.hu/api/publication/33345614 ID - 33345614 AB - Plant growth rhythm in structural traits is important for better understanding plant response to the ever-changing environment. Terrestrial laser scanning (TLS) is a well-suited tool to study structural rhythm under field conditions. Recent studies have used TLS to describe the structural rhythm of trees, but no consistent patterns have been drawn. Meanwhile, whether TLS can capture structural rhythm in crops is unclear. Here, we aim to explore the seasonal and circadian rhythms in maize structural traits at both the plant and leaf levels from time-series TLS. The seasonal rhythm was studied using TLS data collected at four key growth periods, including jointing, bell-mouthed, heading, and maturity periods. Circadian rhythms were explored by using TLS data acquired around every 2 hours in a whole day under standard and cold stress conditions. Results showed that TLS can quantify the seasonal and circadian rhythm in structural traits at both plant and leaf levels. (1) Leaf inclination angle decreased significantly between the jointing stage and bell-mouthed stage. Leaf azimuth was stable after the jointing stage. (2) Some individual-level structural rhythms (e.g., azimuth and projected leaf area/PLA) were consistent with leaf-level structural rhythms. (3) The circadian rhythms of some traits (e.g., PLA) were not consistent under standard and cold stress conditions. (4) Environmental factors showed better correlations with leaf traits under cold stress than standard conditions. Temperature was the most important factor that significantly correlated with all leaf traits except leaf azimuth. This study highlights the potential of time-series TLS in studying outdoor agricultural chronobiology. LA - English DB - MTMT ER - TY - JOUR AU - Bakay, Ladislav AU - Moravčík, Ľuboš TI - Quantification of Circadian Movement of Small-Leaved Lime (Tilia cordata Mill.) Saplings With Short Interval Terrestrial Laser Scanning JF - FRONTIERS IN PLANT SCIENCE J2 - FRONT PLANT SCI VL - 11 PY - 2020 SN - 1664-462X DO - 10.3389/fpls.2020.00984 UR - https://m2.mtmt.hu/api/publication/31370531 ID - 31370531 N1 - Funding Agency and Grant Number: AgroBioTech Research Centre; project Building "AgroBioTech" Research Centre [ITMS 26220220180] Funding text: This research was supported by AgroBioTech Research Centre built in accordance with the project Building "AgroBioTech" Research Centre ITMS 26220220180. LA - English DB - MTMT ER - TY - JOUR AU - Stupariu, Mihai-Sorin AU - Pleșoianu, Alin-Ionuț AU - Pătru-Stupariu, Ileana AU - Fürst, Christine TI - A Method for Tree Detection Based on Similarity with Geometric Shapes of 3D Geospatial Data JF - ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION J2 - ISPRS INT J GEO-INFORMATION VL - 9 PY - 2020 IS - 5 SN - 2220-9964 DO - 10.3390/ijgi9050298 UR - https://m2.mtmt.hu/api/publication/31330776 ID - 31330776 LA - English DB - MTMT ER - TY - JOUR AU - Puttonen, Eetu AU - Bucksch, Alexander AU - Zlinszky, András AU - Pfeifer, Norbert TI - Editorial: Optical Approaches to Capture Plant Dynamics in Time, Space, and Across Scales JF - FRONTIERS IN PLANT SCIENCE J2 - FRONT PLANT SCI VL - 9 PY - 2018 SN - 1664-462X DO - 10.3389/fpls.2018.00791 UR - https://m2.mtmt.hu/api/publication/3414148 ID - 3414148 LA - English DB - MTMT ER -