scholarly journals Experiment of Dutch Tulip Cultivation in Open Field in Shanghai, China—Effect of Temperature Change on Flowering Duration

2018 ◽  
Vol 3 (1) ◽  
pp. 35
Author(s):  
Jin GUO
Keyword(s):  
Temperature Change ◽  
Open Field ◽  
Negative Correlation ◽  
Detection Method ◽  
Growth Period ◽  
Early Flowering ◽  
Effect Of Temperature ◽  
Flowering Duration ◽  
Period Data

<p><em>In recent years, a large number of Dutch tulip varieties have been cultivated in the open field of Shanghai Flower Port (The biggest tulip park in China). In this paper, nine tulip varieties’ growth period data were recorded for this experiment. By comparing the flowering duration of different varieties, it is concluded that planting early flowering varieties in Shanghai is more economical. At the end of this paper, by correlation detection method, it is concluded that there is a negative correlation between the flowering duration and temperature in Shanghai, China.</em></p>

EFFECT OF TEMPERATURE AND DAYLENGTH ON FLOWERING OF EARLY FLOWERING GLADIOLUS

2002 ◽  
pp. 437-446
Author(s):  
H. Imanishi ◽  
Y. Imae ◽  
E. Kaneko ◽  
S. Sonoda
Keyword(s):  
Early Flowering ◽  
Effect Of Temperature

scholarly journals Effect of temperature change on the cochlear potentials of the guinea pig. The third report.

1986 ◽  
Vol 29 (3) ◽  
pp. 213-218
Author(s):  
Naoki Inamura ◽  
Jun Kusakari ◽  
Tomonori Takasaka
Keyword(s):  
Guinea Pig ◽  
Temperature Change ◽  
Effect Of Temperature ◽  
The Third ◽  
Cochlear Potentials

scholarly journals Short-Term Effect of Temperature Change on Non-Accidental Mortality in Shenzhen, China

2021 ◽  
Vol 18 (16) ◽  
pp. 8760
Author(s):  
Yao Xiao ◽  
Chengzhen Meng ◽  
Suli Huang ◽  
Yanran Duan ◽  
Gang Liu ◽  
...  
Keyword(s):  
Temperature Change ◽  
Linear Models ◽  
Cumulative Effect ◽  
The Elderly ◽  
Apparent Temperature ◽  
Effect Of Temperature ◽  
Surface Model ◽  
Susceptible Population ◽  
Respiratory Mortality ◽  
Increased Risk

Temperature change is an important meteorological indicator reflecting weather stability. This study aimed to examine the effects of ambient temperature change on non-accidental mortality using diurnal temperature change (DTR) and temperature change between neighboring days (TCN) from two perspectives, intra-day and inter-day temperature change, and further, to explore seasonal variations of mortality, identify the susceptible population and investigate the interaction between temperature change and apparent temperature (AT). We collected daily data on cause-specific mortality, air pollutants and meteorological indicators in Shenzhen, China, from 1 January 2013 to 29 December 2017. A Quasi-Poisson generalized linear regression combined with distributed lag non-linear models (DLNMs) were conducted to estimate the effects of season on temperature change-related mortality. In addition, a non-parametric bivariate response surface model was used to explore the interaction between temperature change and AT. The cumulative effect of DTR was a U-shaped curve for non-accidental mortality, whereas the curve for TCN was nearly monotonic. The overall relative risks (RRs) of non-accidental, cardiovascular and respiratory mortality were 1.407 (95% CI: 1.233–1.606), 1.470 (95% CI: 1.220–1.771) and 1.741 (95% CI: 1.157–2.620) from exposure to extreme large DTR (99th) in cold seasons. However, no statistically significant effects were observed in warm seasons. As for TCN, the effects were higher in cold seasons than warm seasons, with the largest RR of 1.611 (95% CI: 1.384–1.876). The elderly and females were more sensitive, and low apparent temperature had a higher effect on temperature change-related non-accidental mortality. Temperature change was positively correlated with an increased risk of non-accidental mortality in Shenzhen. Both female and elderly people are more vulnerable to the potential adverse effects, especially in cold seasons. Low AT may enhance the effects of temperature change.

scholarly journals Forest Soil Respirations are More Sensitive to Nighttime Temperature Change in Eastern China

2018 ◽  
Vol 47 (1) ◽  
pp. 249-254
Author(s):  
Zhaoyong SHI ◽  
Ke LI ◽  
Yongming WANG ◽  
Bede S. MICKAN ◽  
Weikang YUAN ◽  
...  
Keyword(s):  
Soil Respiration ◽  
Soil Temperature ◽  
Temperature Change ◽  
Global Climate ◽  
Eastern China ◽  
Growing Season ◽  
Mean Value ◽  
Apparent Temperature ◽  
Effect Of Temperature ◽  
The Difference

Soil respiration is one of the main fluxes in the global carbon cycle. The effect of temperature on soil respiration is well understood. The response of soil respiration to temperature warming is called apparent temperature sensitivity (Q10) of soil respiration, which is an important parameter in modeling soil CO2 effluxes under global climate warming. The difference of Q10 between daytime and nighttime was hardly reported although attentions are attracted by the differences of temperature change and its effects on vegetation productivity. In this study, we investigated the Q10 of soil respiration in daytime and nighttime by modeling empirical functions based on the in situ measurement of soil respiration and temperature in temperate and subtropical forests of eastern China. Our results showed that the Q10 of soil respiration is higher in nighttime with the mean value of 2.74 and 2.35 than daytime with the average of 2.49 and 2.18 in all measured months and growing season, respectively. Moreover, the explanatory rate of soil temperature to soil respiration in nighttime is also higher than in daytime in each site in both all measured and growing seasons. The Q10 and explanatory rate of soil temperature to soil respiration in nighttime is 1.08 and 1.15 times in daytime in growing season. These findings indicate that soil respiration has a bigger sensitivity to temperature in nighttime than daytime. The change of soil temperature explains more variation of soil respiration in nighttime than daytime.

The effect of temperature change and oxygen reduction on zooplankton composition and vertical distribution in a semi-enclosed marine system

2019 ◽  
Vol 15 (4-6) ◽  
pp. 325-342 ◽  
Author(s):  
Davor Lučić ◽  
Marijana Hure ◽  
Svjetlana Bobanović-Ćolić ◽  
Jakica Njire ◽  
Olja Vidjak ◽  
...  
Keyword(s):  
Vertical Distribution ◽  
Oxygen Reduction ◽  
Temperature Change ◽  
Effect Of Temperature ◽  
Marine System

Transcriptome analyses provide insights into the effect of temperature change on fiber quality of ramie

2020 ◽  
Vol 152 ◽  
pp. 112544
Author(s):  
Pingan Guo ◽  
Bo Wang ◽  
Yancheng Zheng ◽  
Jie Chen ◽  
Wenlue Li ◽  
...  
Keyword(s):  
Temperature Change ◽  
Fiber Quality ◽  
Effect Of Temperature ◽  
Transcriptome Analyses

scholarly journals Effect of Temperature Change on Interfacial Behavior of an Acoustically Levitated Droplet

2009 ◽  
Vol 22 (2) ◽  
pp. 145-150 ◽  
Author(s):  
Masanori Kawakami ◽  
Yutaka Abe ◽  
Akiko Kaneko ◽  
Yuji Yamamoto ◽  
Koji Hasegawa
Keyword(s):  
Temperature Change ◽  
Effect Of Temperature ◽  
Interfacial Behavior ◽  
Levitated Droplet

scholarly journals Indoor Farming Marjoram Production—Quality, Resource Efficiency, and Potential of Application

Agronomy ◽  
2020 ◽  
Vol 10 (11) ◽  
pp. 1769
Author(s):  
Sabine Wittmann ◽  
Ivonne Jüttner ◽  
Heike Mempel
Keyword(s):  
Open Field ◽  
Food Industry ◽  
Growth Period ◽  
Raw Material ◽  
Growth And Yield ◽  
Simultaneous Increase ◽  
Layer System ◽  
High Resource ◽  
Vertical Farming ◽  
Field Production

Indoor vertical farming offers great opportunities regarding a sustainable and consistent production of high-quality herbs and raw materials all year round for the perfume, chemical, or food industry. Cultivation takes place in an enclosed structure, operating predominantly independent from external conditions in multi-layer systems equipped with artificial lighting, enabling extremely high resource use efficiencies with a simultaneous increase in yield. On the other hand, field production in terms of plant quality and harvesting times is highly influenced by environmental conditions, making it difficult to maintain homogenous raw material qualities throughout the year. To show how different light qualities affect the overall efficiency and quality of Origanum majorana grown in an indoor farm, the resource consumption, yield, and cultivation time as well as the essential oil quantity was analyzed, and the efficiencies in terms of energy and land use efficiency calculated. The experimental setup clearly demonstrated that the yield regarding fresh as well as dry matter and oil content was comparable to one square meter of open field production. Based on this, the multi-layer system and the noticeable lowered growth period result in a significantly higher area efficiency compared to the open field, leading to a potential increase of annual yields of dried leave weight and oil contents by up to 21 times. It was also shown that a white spectrum (W) showed similar influence on plant growth and yield as a spectrum consisting of blue and red (B/R). Nevertheless, the LED treatment W did show higher light use efficiencies as well as a better working conditions inside the cultivation chamber. By an integration of indoor vertical farming into existing industrial processes, new and innovative opportunities for a flexible and low-risk supply chain seem feasible and according to German food industry meet the interests of existing stakeholders.

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