Survey and Pest Monitoring System for Southern Pine Seed Orchards

1990 ◽  
Vol 14 (3) ◽  
pp. 147-154
Author(s):  
Carl W. Fatzinger ◽  
H. David Muse ◽  
Thomas Miller ◽  
Helen Bhattacharyya

Abstract A survey and pest monitoring system (SPMS) for pine seed orchards is described that estimates total orchard yields of female strobili and seeds, quantifies pest damage, documents the times of year when losses occur, and produces life tables for female strobili. The method utilizes sample clusters of female strobili located in the southeast crown quadrants of sample trees for obtaining three estimates per year of numbers and conditions of the two crops of cones present on seed orchard trees; additional periodic subsamples are used to determine causes of strobilus damage during periods of major loss. Interactive, user-friendly computer programs facilitate data analyses. Estimates of orchard productivity are accompanied by statistics on the precision of sampling and on the losses caused by specific pests and other factors. South. J. Appl. For. 14(3):147-159.

2015 ◽  
Vol 1 (1) ◽  
pp. 37-45
Author(s):  
Irwansyah Irwansyah ◽  
Hendra Kusumah ◽  
Muhammad Syarif

Along with the times, recently there have been found tool to facilitate human’s work. Electronics is one of technology to facilitate human’s work. One of human desire is being safe, so that people think to make a tool which can monitor the surrounding condition without being monitored with people’s own eyes. Public awareness of the underground water channels currently felt still very little so frequent floods. To avoid the flood disaster monitoring needs to be done to underground water channels.This tool is controlled via a web browser. for the components used in this monitoring system is the Raspberry Pi technology where the system can take pictures in real time with the help of Logitech C170 webcam camera. web browser and Raspberry Pi make everyone can control the devices around with using smartphone, laptop, computer and ipad. This research is expected to be able to help the users in knowing the blockage on water flow and monitored around in realtime.


2007 ◽  
Vol 37 (3) ◽  
pp. 515-522 ◽  
Author(s):  
Tore Skrøppa ◽  
Ketil Kohmann ◽  
Øystein Johnsen ◽  
Arne Steffenrem ◽  
Øyvind M. Edvardsen

We present results from early tests and field trials of offspring from two Norway spruce ( Picea abies (L.) Karst.) seed orchards containing clones that have been transferred from high altitudes to sea level and from northern to southern latitudes. Seedlings from seeds produced in the low-altitude seed orchard developed frost hardiness later at the end of the growth season, flushed later in field trials, and grew taller than seedlings from seeds produced in natural stands. They had the lowest mortality rate and the lowest frequency of injuries in the field trials. Similar results were observed in seedlings from seeds produced in the southern seed orchard. We found no adverse effects of the changed growth rhythm. Seedlings from two seed crops in the southern orchard, produced in years with a warm and a cold summer, had different annual growth rhythms. The results are explained mainly by the effects of the climatic conditions during the reproductive phase. Seed crops from different years in the same seed orchard may produce seedlings that perform as if they were from different provenances. It is argued that the effects of the climatic conditions during seed production must contribute to the variation among provenances of Norway spruce.


2019 ◽  
Author(s):  
Guanxiong Zhang ◽  
Aimin Xie ◽  
Jing Bai ◽  
Tao Luo ◽  
Huating Yuan ◽  
...  

Abstract Background Enhancer has been recognized as an important driver whose genetic alterations contribute to disease progression. However, there is still no easy-to-use tools to identify pathogenic enhancers, allowing for deciphering functional influence of genetic variants on enhancer. Results We developed a user-friendly one-stop shop platform, named inferring pathogenic enhancer with variant (IPEV), only requiring variants as input, to quickly infer the pathogenic enhancers that harbor variants affecting their activities. Results of IPEV are explored in an interactive, user-friendly web environment, which is designed to highlight the most probable pathogenic enhancers and their target genes. Furthermore, IPEV provides intuitive visualizations of how a variant affects the corresponding enhancer activity by mediating TF binding changes. Conclusions IPEV is specially designed to prioritize the potentially pathogenic enhancers with genetic variants, and provides intuitive visualizations how a variant affects the corresponding enhancer activity by mediating which transcription factor binding changes. The use of IPEV does not require any specialized computer skills. We believe that IPEV will be useful in interpreting non-coding variants by the inferring pathogenic enhancers. It is freely available at http://biocc.hrbmu.edu.cn/IPEV/ or http://210.46.80.168/IPEV and supports recent versions of all major browsers.


2004 ◽  
Vol 53 (1-6) ◽  
pp. 7-11 ◽  
Author(s):  
Z. Zhuowen

Abstract Data from three seed orchards (Chongyang, Zhangle and Laoshan) and Lintian forest were used to study pollination characteristics, pollination level, pollen and ovule production in Chinese fir. The results show that male and female cones have their own distribution patterns within crowns. Male cones are located in the middle to top and female cones the middle to bottom part of the crown. Because of lower density of trees in seed orchard than that in a stand, female cones are distributed over the entire crown in seed orchard trees. Chinese fir male and female cones appear to be very well adapted for wind as the pollination mechanism. There is no difference in the number of pollen grains produced by one pollen sac among trees in the same clone, but there are differences between clones. There are differences between both clones and years in female cone number, male cone number and their ratio. The pollen accumulation rate during pollination should be 3 to 5 pollen grains/mm2 to ensure fertilization. The Chinese fir seed orchards in this study produced too much pollen and could be improved by stimulation of more female flowers in order to produce more seeds.


2020 ◽  
pp. 627-642
Author(s):  
Sindhu Suryanarayanan ◽  
Sreekala Manmadhan ◽  
N. Rakesh

Technology keeps evolving every second. Humans receive all the essential information with just one touch. Be it the weather forecast or ordering any grocery or communicating with one's peers, everything happens so easily and efficiently. It is undoubtedly user friendly. When the same technology associates itself with the medical equipment it becomes easier to fetch and process the patient's data in real time. It also helps to make several life-saving, spontaneous decisions for the critical care. This paper talks about the patient monitoring system. The physiological parameters of the patient are continuously monitored in real time using sensors. The data that is obtained from the sensor is then sent to an Arduino Uno microcontroller where it is analyzed. If the patient's data differs from the required threshold values, an emergency message is sent to the assigned doctor's mobile. This is done using the GSM module which is interfaced with the microcontroller. Verifying the system in software is done using Proteus.


2017 ◽  
Vol 19 (4) ◽  
pp. 22-36 ◽  
Author(s):  
Sindhu Suryanarayanan ◽  
Sreekala Manmadhan ◽  
N. Rakesh

Technology keeps evolving every second. Humans receive all the essential information with just one touch. Be it the weather forecast or ordering any grocery or communicating with one's peers, everything happens so easily and efficiently. It is undoubtedly user friendly. When the same technology associates itself with the medical equipment it becomes easier to fetch and process the patient's data in real time. It also helps to make several life-saving, spontaneous decisions for the critical care. This paper talks about the patient monitoring system. The physiological parameters of the patient are continuously monitored in real time using sensors. The data that is obtained from the sensor is then sent to an Arduino Uno microcontroller where it is analyzed. If the patient's data differs from the required threshold values, an emergency message is sent to the assigned doctor's mobile. This is done using the GSM module which is interfaced with the microcontroller. Verifying the system in software is done using Proteus.


Sign in / Sign up

Export Citation Format

Share Document