scholarly journals Plant Growth Environment Effects on Rapeseed Microspore Development and Culture

1992 ◽  
Vol 99 (2) ◽  
pp. 468-472 ◽  
Author(s):  
Kwan-Hung Lo ◽  
K. Peter Pauls
Keyword(s):  
Plant Growth ◽  
Microspore Development ◽  
Growth Environment ◽  
Environment Effects

The influence of ultraviolet-B light and carbon dioxide enrichment on the growth and physiology of seedlings of three conifer species

1994 ◽  
Vol 24 (1) ◽  
pp. 1-8 ◽  
Author(s):  
Roberta Yakimchuk ◽  
John Hoddinott
Keyword(s):  
Plant Growth ◽  
Black Spruce ◽  
Stratospheric Ozone ◽  
White Spruce ◽  
Relative Magnitude ◽  
Jack Pine ◽  
Ultraviolet B ◽  
Growth Environment ◽  
Growth Analyses ◽  
Conifer Seedling

Anthropogenic production of CO2 and stratospheric ozone depleting chemicals is altering the plant growth environment. Numerous studies have examined the influence of increasing CO2 and UV-B levels on plant growth and physiology, but few studies examine their interaction. Jack pine (Pinusbanksiana Lamb.), black spruce (Piceamariana (Mill.) B.S.R), and white spruce (Piceaglauca (Moench) Voss) were raised in growth rooms from seed for 16 weeks in air with either 350 or 700 μmol•mol−1 of CO2 in the presence or absence of supplemental UV-B irradiation. Classical and functional growth analyses were performed to identify treatment effects. Biomass production in all three species was increased by high CO2 levels while UV-B light reduced it. Shade-intolerant jack pine showed a greater production of UV-B absorbing pigments in UV-B light than did shade-tolerant spruce species. Overall, white spruce was the most sensitive species to both treatment factors. The relative magnitude of the effects in the three species caused by enhanced CO2 and UV-B levels indicate that future conifer seedling growth and competitive ability will be altered by the changing environment.

scholarly journals Fenología del cultivo de arveja (Pisum sativum L. var. Santa Isabel) en la sabana de Bogotá en campo abierto y bajo cubierta plástica

2009 ◽  
Vol 10 (1) ◽  
pp. 5
Author(s):  
Julio Ricardo Galindo Pacheco ◽  
Jairo Clavijo Porras
Keyword(s):  
Pisum Sativum ◽  
Plant Growth ◽  
Open Field ◽  
Plant Development ◽  
Crop Production ◽  
Cycle Duration ◽  
Growth Responses ◽  
Environment Effects ◽  
Pisum Sativum L ◽  
Temperature Regimes

<p>La valoración del efecto del ambiente en el desarrollo de los cultivos es importante para la determinación de zonas aptas y la planificación de la producción. En esta investigación se realizaron cuatro ensayos para evaluar el desarrollo de las plantas de arveja (<em>Pisum sativum </em>L.) variedad Santa Isabel en condiciones de la sabana de Bogotá, Colombia, (2640 msnm, 14°C, 80% H.R., 800 mm de lluvia anual), tema sobre el cual no hay información. Se realizaron dos ensayos bajo cubierta plástica (21°C ± 2,5°C, promedio ± DE) y dos a campo abierto (13,9°C ± 1,2°C). Se evaluó el tiempo de la siembra a la emergencia, la tasa de aparición de nudos en el tallo principal, el inicio de la floración, la duración del ciclo de la siembra hasta la cosecha, el número de nudos totales en la cosecha y el número de nudos con flor. Se encontró que la temperatura bajo cubierta plástica aceleró en 10 días la emergencia de las plantas y redujo el filocrón de 3,05 a 2,72 días/nudo, lo cual a su vez adelantó el momento de floración y cosecha entre 15 y 20 días. La tasa de aparición de nudos no varió significativamente por el cambio de la fase vegetativa a reproductiva. Los resultados contribuyeron a respaldar el modelo dentado de desarrollo vegetal en función de la temperatura para arveja, según el cual el crecimiento es máximo en un rango de temperatura óptima, que se sugiere está entre los 14°C y 21°C. </p><p> </p><p><strong>Phenology of pea crop (</strong><strong><em>Pisum sativum </em></strong><strong>L. var. Santa Isabel) in the Bogotá plateau at open field and under plastic cover</strong> </p><p>The assessment of environment effects on plant development is important to identify suitable zones and schedule crop production. In this research, plant development of pea (<em>Pisum sativum </em>L. var. Santa Isabel) was evaluated under Bogotá flat highland, Colombia, environmental conditions (2640 m over sea level, 14°C, 80% R.H., rainfall of 800 mm/year). Two experiments were done under plastic cover (21°C ± 2,5°C, mean ± SD), and two at open field (13,9 ± 1,2°C). Following variables were evaluated: time to emergence, cycle duration from sowing to harvest, total nude number at harvest and flowering nude number at harvest. It was shown that temperature under plastic cover accelerate plant emergency in 10 days and reduce phyllochron from 3,05 to 2,72 day/node, so the flowering time was accelerated between 15 and 20 days. Node rate appearance did not change from the vegetative to reproductive stage. The results confirm the dent-like model of pea plant growth responses to temperature regimes, so the crop growth had a maximum at a plateau in a temperature range which could be between 14°C and 21°C. </p>

Study for PID Temperature Control of Plant Growth Cabinet Based on Neural Network

2015 ◽  
Vol 734 ◽  
pp. 229-232
Author(s):  
Zhi Qi Liu ◽  
Li Guo Tian ◽  
Meng Li ◽  
Jiang Lin Wei ◽  
Gao Li Chen ◽  
...  
Keyword(s):  
Neural Network ◽  
Plant Growth ◽  
Bp Neural Network ◽  
Pid Control ◽  
Response Speed ◽  
Fast Response ◽  
Control Methods ◽  
Target Temperature ◽  
Growth Environment ◽  
Neural Network Pid

Environment for plant growth is difficult to establish precise mathematical model. The conventional control methods are difficult to be well controlled, and put forward a neural network PID control temperature on the growth environment of plant. In this paper, taking the lettuce as an example, using MATLAB to simulate the PID control and PID control of BP neural network, the results proved that PID control of BP neural network has small overshoot, fast response speed and good stability compared with the traditional PID control, and better controlled temperature changing with the target temperature.

scholarly journals Specialized Plant Growth Chamber Designs to Study Complex Rhizosphere Interactions

2021 ◽  
Vol 12 ◽  
Author(s):  
Mon Oo Yee ◽  
Peter Kim ◽  
Yifan Li ◽  
Anup K. Singh ◽  
Trent R. Northen ◽  
...  
Keyword(s):  
Plant Growth ◽  
Soil Microbial Communities ◽  
Plant Roots ◽  
Growth Chamber ◽  
Soil System ◽  
Growth Environment ◽  
Design Elements ◽  
Rhizosphere Interactions ◽  
Rhizosphere Processes ◽  
Plant Growth Chamber

The rhizosphere is a dynamic ecosystem shaped by complex interactions between plant roots, soil, microbial communities and other micro- and macro-fauna. Although studied for decades, critical gaps exist in the study of plant roots, the rhizosphere microbiome and the soil system surrounding roots, partly due to the challenges associated with measuring and parsing these spatiotemporal interactions in complex heterogeneous systems such as soil. To overcome the challenges associated with in situ study of rhizosphere interactions, specialized plant growth chamber systems have been developed that mimic the natural growth environment. This review discusses the currently available lab-based systems ranging from widely known rhizotrons to other emerging devices designed to allow continuous monitoring and non-destructive sampling of the rhizosphere ecosystems in real-time throughout the developmental stages of a plant. We categorize them based on the major rhizosphere processes it addresses and identify their unique challenges as well as advantages. We find that while some design elements are shared among different systems (e.g., size exclusion membranes), most of the systems are bespoke and speaks to the intricacies and specialization involved in unraveling the details of rhizosphere processes. We also discuss what we describe as the next generation of growth chamber employing the latest technology as well as the current barriers they face. We conclude with a perspective on the current knowledge gaps in the rhizosphere which can be filled by innovative chamber designs.

Monitoring System for Plant Growth Environment Based on Zigbee/RS485

2014 ◽  
Vol 511-512 ◽  
pp. 381-384
Author(s):  
Qian Hu Xiao ◽  
Shao Jie Weng ◽  
Wen Qing Zhang
Keyword(s):  
Carbon Dioxide ◽  
Soil Moisture ◽  
Plant Growth ◽  
Monitoring System ◽  
Air Temperature ◽  
Transmission Loss ◽  
Remote Access ◽  
Air Humidity ◽  
Growth Environment ◽  
Transmission Distance

After studying the research status of monitoring system for plant growth information, a system is developed with Kingview, VB and C to monitor soil temperature, soil moisture, air temperature, air humidity, Illumination and carbon dioxide. The system realizes real time monitoring, remote access, trend analysis and many other functions. Transmission distance is estimated by channel transmission loss model. Theoretical transmission distances are 1691.99m outdoor and 480.84m indoor. The real transmission distance is measured in the production base. The experimental communication distances are 1680m and 1520m in sunny and rainy day.

scholarly journals Design of Multicolour LED with Control and Monitoring System for Plant Growth

2018 ◽  
Vol 215 ◽  
pp. 01007
Author(s):  
Wei Choon Ng ◽  
Nurul Amziah Md Yunus ◽  
Izhal Abdul Halin
Keyword(s):  
Plant Growth ◽  
Light Emitting Diode ◽  
Control Variable ◽  
Variable Parameter ◽  
Light Emitting ◽  
Growth Environment ◽  
Growth Area ◽  
Artificial Environment ◽  
Control And Monitoring System ◽  
And Control

The aim of this work is to create an artificial environment LED based for plants where the goal is to control LED lighting and monitor plant growth. This will contribute on issue like food production. This work involves the use of a web development microcontroller kit, which will help to make online or IoT (Internet of Things) project and design easy. The microcontroller will come with an integrated Wi-Fi to collect and control variable parameter and also programming language to develop graphical user interface (GUI). It is expected that the plant growth environment can be monitored and controlled or set through cloud via Wi-Fi on the board. Multicolour light emitting diode (LED) lamps are used. This system will improve the performance of available plant growth area where it will become more flexible in term of providing artificial environment with a better supervision.

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