Optimum Mean Temperature for a Plant Growth Calculated by a New Method of Summation

Ecology ◽  
1972 ◽  
Vol 53 (5) ◽  
pp. 893-900 ◽  
Author(s):  
Giovanni Abrami
1987 ◽  
Vol 71 (Appendix) ◽  
pp. 51-51
Author(s):  
Hiroyoshi Yamazaki ◽  
Yoshinori Anzai ◽  
Makoto Yamanoshita

2021 ◽  
Vol 276 ◽  
pp. 109780
Author(s):  
Hiroko Yamaura ◽  
Keiichi Kanno ◽  
Nobuo Takano ◽  
Masahide Isozaki ◽  
Yasunaga Iwasaki

2011 ◽  
Vol 341-342 ◽  
pp. 611-616
Author(s):  
Lu Wang ◽  
Lin Gao ◽  
Kai Yang

In order to monitor the plant growth in greenhouse, a new method based on GPRS and Internet wireless communication technology was introduced in this paper. It is a system involving S3C2410 of ARM9 kernel as the microprocessor chip, which can be run in Linux operating system and takes the wireless transmission mode of GPRS+Internet as an adoption. The structure of the whole system, hardware design and image acquisition and transmission framework were introduced. A detailed explanation was given about planted method of operating system in the paper.


2005 ◽  
Vol 77 (8) ◽  
pp. 1425-1444 ◽  
Author(s):  
Richard S. Criddle ◽  
L. D. Hansen ◽  
B. N. Smith ◽  
C. Macfarlane ◽  
J. N. Church ◽  
...  

A thermodynamic law of adaptation of plants to temperature is developed. Plant growth rate is proportional to the product of the metabolic rate and the metabolic efficiency for production of anabolic products. Over much of the growth temperature range, metabolic rate is proportional to mean temperature and efficiency is proportional to the reciprocal of temperature variability. The mean temperature and short-term (hours to weeks) variability of temperature during the growth season at a particular location thus determine the optimum energy and growth strategy for plants. Because they can grow and reproduce most vigorously, plants with a growth rate vs. temperature curve that matches the time-at-temperature vs. temperature curve during the growth season are favored by natural selection. The law of temperature adaptation explains many recent and long-standing observations of plant growth and survival, including latitudinal gradients of plant diversity and species range.


Atmosphere ◽  
2021 ◽  
Vol 12 (10) ◽  
pp. 1294
Author(s):  
Guizhen Guo ◽  
Dandan Wang ◽  
Zhoupeng Ren ◽  
Qian Yin ◽  
Yunbing Gao

Understanding the spatiotemporal trends of temperature in the context of global warming is significant for public health. Although many studies have examined changes in temperature and the impacts on human health over the past few decades in many regions, they have often been carried out in data-rich regions and have rarely considered acclimatization explicitly. The most frequent temperature (MFT) indicator provides us with the ability to solve this problem. MFT is defined as the longest period of temperature throughout the year to which a human is exposed and therefore acclimates. In this study, we propose a new method to estimate the number of heat exposure days from the perspective of temperature distribution and MFT, based on the daily mean temperature readings of 2142 weather stations in eight major climate zones in China over the past 20 years. This method can be used to calculate the number of heat exposure days in terms of heat-related mortality risk without the need for mortality data. We estimated the distribution and changes of annual mean temperature (AMT), minimum mortality temperature (MMT), and the number of heat exposure days in different climate zones in China. The AMT, MMT, and number of heat exposure days vary considerably across China. They all tend to decrease gradually from low to high latitudes. Heat exposure days are closely related to the risk of heat-related mortality. In addition, we utilized multiple linear regression (MLR) to analyze the association between the risk of heat-related mortality and the city and its climatic characteristics. Results showed that the number of heat exposure days, GDP per capita, urban population ratio, proportion of elderly population, and climate zone were found to modify the estimate on heat effect, with an R2 of 0.71. These findings will be helpful for the creation of public policies protecting against high-temperature-induced mortalities.


1985 ◽  
Vol 107 (2) ◽  
pp. 127-133 ◽  
Author(s):  
Takashi Ueda ◽  
Akira Hosokawa ◽  
Akira Yamamoto

The temperature of cutting grains on wheel surface was measured by means of a new method, in which an optical fiber accepts the infrared flux radiated from the cutting grains and transmits it to an infrared detector InAs cell. This pyrometer makes it possible to observe the history of each cutting grain on the wheel surface. It was found that the temperature of cutting grains at 4.2 ms after cutting is distributed in the range of 500°C to 1400°C, and their mean temperature is 820°C.


2017 ◽  
Vol 47 (3) ◽  
pp. 286-295 ◽  
Author(s):  
Fábio Rafael Echer ◽  
Ciro Antonio Rosolem

ABSTRACT Plant growth regulator management has been a challenge for cotton growers, due to the increased weather instability and the adoption of early cultivars, in off-season crops. This study aimed at proposing a new method, called Crop Growth Rate, to define mepiquat chloride rates in cotton crops, as well as to compare it with traditional management practices. Except for micronaire, there was no difference in cotton growth parameters, neither in yield nor fiber quality, between the new method and the traditional one. The mepiquat chloride rates were, on average, 24 % higher and 43 % lower in late and early maturity cultivars, respectively, for the new method. The number of bolls in plants treated with mepiquat chloride was lower than in non-treated plants, for the IMA5672B2RF and IMA5675B2RF cultivars, but a higher average weight of bolls was observed for these genotypes. The new method is efficient in defining the plant growth regulator rate to avoid an excessive growth and results in less mepiquat chloride applied to early cycle cultivars, preserving lint yield and fiber quality.


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