Shortening dormancy of seed potatoes by storage temperature regimes

1992 ◽  
Vol 35 (4) ◽  
pp. 389-401 ◽  
Author(s):  
M. K. Ittersum ◽  
K. Scholte
Keyword(s):  
Storage Temperature ◽  
Seed Potatoes ◽  
Temperature Regimes

The effect of variation in the storage temperature of seed potatoes on sprout growth and subsequent yield

1979 ◽  
Vol 93 (3) ◽  
pp. 619-622 ◽  
Author(s):  
D. C. E. Wurr
Keyword(s):  
Low Temperature ◽  
Tuber Yield ◽  
Storage Temperature ◽  
Seed Potatoes ◽  
Sprout Length ◽  
Number Of Stems ◽  
Foliage Development ◽  
Sprout Growth ◽  
All Treatment

SUMMARYExperiments, conducted over 3 years, investigated the effect of all combinations of two storage periods at low temperature (0 or 2 °C) and two storage periods at 10 °C on the sprout growth, numbers of stems per tuber, foliage development and subsequent tuber yield of the two maincrop varieties Maris Piper and Désirée.Although the number of day-degrees accumulated during sprouting was the same for all treatment combinations, there were large effects of treatments on the number of sproutlets per tuber and the total sprout length per tuber. However, there was no effect on the number of stems per tuber, foliage development or saleable ware yield inany year.

The Effect of Fluctuating vs. Constant Frozen Storage Temperature Regimes on Some Quality Parameters of Selected Food Products

LWT ◽  
2002 ◽  
Vol 35 (2) ◽  
pp. 190-200 ◽  
Author(s):  
Ronan Gormley ◽  
Thomas Walshe ◽  
Karen Hussey ◽  
Francis Butler
Keyword(s):  
Storage Temperature ◽  
Frozen Storage ◽  
Food Products ◽  
Quality Parameters ◽  
Temperature Regimes

Storage temperature studies with Irish cobbler seed potatoes

1937 ◽  
Vol 14 (12) ◽  
pp. 394-410 ◽  
Author(s):  
R. A. Jehle ◽  
A. Walker
Keyword(s):  
Irish Cobbler ◽  
Storage Temperature ◽  
Seed Potatoes

scholarly journals Lifting and Overwinter Storage of White Pine in Southern Ontario

1985 ◽  
Vol 61 (6) ◽  
pp. 480-483 ◽  
Author(s):  
G. D. Racey ◽  
R. E. Hutchison ◽  
C. Glerum
Keyword(s):  
Cold Storage ◽  
Storage Temperature ◽  
Frozen Storage ◽  
Field Performance ◽  
Pinus Strobus ◽  
Forest Tree ◽  
White Pine ◽  
Southern Ontario ◽  
Temperature Regimes ◽  
Survival And Growth

A fall lifting and overwinter storage trial on 3+0 white pine (Pinus strobus L.) was carried out at St. Williams forest tree nursery (42° 40′N, 80° 25′W) during two consecutive years to study: (1) the degree hardening day (DHD) requirement for lifting; and (2) the effect of different storage temperature regimes: cold (1-4 °C) and frozen (−3 °C) on the performance of stock stored overwinter. Field performance was best if lifting for overwinter storage was delayed until after an accumulation of 125 DHD which is less than that required farther north. In some instances, seedlings lifted very late in the year had reduced survival and growth in the following year. Seedlings were ready for cold storage before being ready for frozen storage. Frozen storage is preferred owing to molding problems associated with cold storage.

scholarly journals Cold Storage Temperature Fluctuations and Predicting Microbial Growth

1996 ◽  
Vol 59 (13) ◽  
pp. 43-47 ◽  
Author(s):  
C. O. GILL
Keyword(s):  
Microbial Growth ◽  
Storage Temperature ◽  
Temperature History ◽  
Storage Efficiency ◽  
Integration Technique ◽  
Temperature Function ◽  
Perishable Product ◽  
Temperature Regimes ◽  
Function Integration ◽  
Storage Distribution

ABSTRACT The hygienic consequences of the temperature regimes experienced by perishable product during storage, transport, and display can be assessed by a temperature function integration technique. The technique requires the collection of appropriate temperature histories from product units moving through a process and integration of the histories with respect to suitable models which describe the dependency on temperature of the growth of bacteria of concern. The distributions of the proliferation values obtained are characteristic of each process. However, when the duration of a process is highly variable for individual units passing through it the fundamental characteristics of the process may be difficult to discern from proliferation data. Then, a storage efficiency factor can be calculated from a proliferation value and the duration of each temperature history, and the distributions of those factors used to assess and compare processes. Procedures for the collection and analysis of product temperature history data from product cooling, storage, distribution, and display processes, and the use of such data for process assessment are discussed.

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