Effect of transplant container volume and growing season length on field performance of micropropagated potatoes

1986 ◽  
Vol 63 (8) ◽  
pp. 399-410 ◽  
Author(s):  
Michael K. Thornton ◽  
Kenneth W. Knutson
Ecology ◽  
2020 ◽  
Vol 101 (9) ◽  
Author(s):  
Clifton P. Bueno de Mesquita ◽  
Samuel A. Sartwell ◽  
Steven K. Schmidt ◽  
Katharine N. Suding

2015 ◽  
Vol 29 (2) ◽  
pp. 129-135 ◽  
Author(s):  
Alina Danielewska ◽  
Marek Urbaniak ◽  
Janusz Olejnik

Abstract The Scots pine is one of the most important species in European and Asian forests. Due to a widespread occurrence of pine forests, their significance in the energy and mass exchange between the Earth surface and the atmosphere is also important, particularly in the context of climate change and greenhouse gases balance. The aim of this work is to present the relationship between the average annual net ecosystem productivity and growing season length, latitude and air temperature (tay) over Europe. Therefore, CO2 flux measurement data from eight European pine dominated forests were used. The observations suggest that there is a correlation between the intensity of CO2 uptake or emission by a forest stand and the above mentioned parameters. Based on the obtained results, all of the selected pine forest stands were CO2 sinks, except a site in northern Finland. The carbon dioxide uptake increased proportionally with the increase of growing season length (9.212 g C m-2 y-1 per day of growing season, R2 = 0.53, p = 0.0399). This dependency showed stronger correlation and higher statistical significance than both relationships between annual net ecosystem productivity and air temperature (R2 = 0.39, p = 0.096) and annual net ecosystem productivity and latitude (R2 = 0.47, p = 0.058). The CO2 emission surpassed assimilation in winter, early spring and late autumn. Moreover, the appearance of late, cold spring and early winter, reduced annual net ecosystem productivity. Therefore, the growing season length can be considered as one of the main factor affecting the annual carbon budget of pine forests.


2014 ◽  
Vol 20 (11) ◽  
pp. 3457-3470 ◽  
Author(s):  
Irene Garonna ◽  
Rogier de Jong ◽  
Allard J.W. de Wit ◽  
Caspar A. Mücher ◽  
Bernhard Schmid ◽  
...  

2019 ◽  
Vol 271 ◽  
pp. 46-53 ◽  
Author(s):  
Ping Ren ◽  
Emanuele Ziaco ◽  
Sergio Rossi ◽  
Franco Biondi ◽  
Peter Prislan ◽  
...  

2007 ◽  
Vol 20 (21) ◽  
pp. 5441-5454 ◽  
Author(s):  
Nikolaos Christidis ◽  
Peter A. Stott ◽  
Simon Brown ◽  
David J. Karoly ◽  
John Caesar

Abstract Increasing surface temperatures are expected to result in longer growing seasons. An optimal detection analysis is carried out to assess the significance of increases in the growing season length during 1950–99, and to measure the anthropogenic component of the change. The signal is found to be detectable, both on global and continental scales, and human influence needs to be accounted for if it is to be fully explained. The change in the growing season length is found to be asymmetric and largely due to the earlier onset of spring, rather than the later ending of autumn. The growing season length, based on exceedence of local temperature thresholds, has a rate of increase of about 1.5 days decade−1 over the observation area. Local variations also allow for negative trends in parts of North America. The analysis suggests that the signal can be attributed to the anthropogenic forcings that have acted on the climate system and no other forcings are necessary to describe the change. Model projections predict that under future climate change the later ending of autumn will also contribute significantly to the lengthening of the growing season, which will increase in the twenty-first century by more than a month. Such major changes in seasonality will affect physical and biological systems in several ways, leading to important environmental and socioeconomic consequences and adaptation challenges.


2018 ◽  
Vol 54 (8) ◽  
pp. 5359-5375 ◽  
Author(s):  
Taehee Hwang ◽  
Katherine L. Martin ◽  
James M. Vose ◽  
David Wear ◽  
Brian Miles ◽  
...  

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