Models for the multisubunit conformation of oil-seed globulins

1998 ◽  
Vol 26 (4) ◽  
pp. 721-725 ◽  
Author(s):  
B. Carrasco ◽  
J. García de la Torre ◽  
S. E. Harding
Keyword(s):  
Oil Seed ◽  
2017 ◽  
Vol 24 (3) ◽  
pp. 267-277 ◽  
Author(s):  
Pooja Kesari ◽  
Bentham Science Publisher Neetu ◽  
Anchal Sharma ◽  
Madhusudhanarao Katiki ◽  
Pramod Kumar ◽  
...  

1946 ◽  
Vol 164 (1) ◽  
pp. 159-163 ◽  
Author(s):  
Emil L. Smith ◽  
Richard D. Greene ◽  
Elliot Bartner

Author(s):  
Hong-Ying Li ◽  
An-Cai Luo ◽  
You-Jin Hao ◽  
Fei-Yue Dou ◽  
Ruo-Mei Kou ◽  
...  

2018 ◽  
Vol 25 (5) ◽  
pp. 1485-1497 ◽  
Author(s):  
Chris MacDonald ◽  
Stefanie Colombo ◽  
Michael T. Arts

1982 ◽  
Vol 99 (1) ◽  
pp. 225-227 ◽  
Author(s):  
D. H. Scarisbrick ◽  
A. Clewer ◽  
R. W. Daniels

The response of three spring cultivars of oilseed rape to five levels of nitrogen fertilizer (0 to 200 kg/ha) was studied during 1978–9 (Scarisbrick, Daniels & Alcock, 1981). Sampling problems, practical difficulties of measuring yield components, and the high co-efficients of variation for these data were discussed. During the course of further investigations on the winter cultivar Jet Neuf (established on approximately 75000 ha in the U. K. during 1980–1) within-plot variability for plant weight was assessed in order to indicate the size of sample necessary to compare treatment means.


1982 ◽  
Vol 99 (2) ◽  
pp. 461-464 ◽  
Author(s):  
C. A. Gilligan

It has long been known that the size and shape of sampling units used to assess crop yield may have significant effects upon the precision of the estimates (Smith, 1938; Hudson, 1939) but little is known about the effects when estimating incidence of disease. Gilligan (1980) showed that estimates of the incidence (i.e. presence or absence of disease) of stem canker (Phomx, lingam, perfect state Lepto sphaeria maculans)of oil-seed rape were more precise when large square sampling units rather than long rectangular units of similar area or small square sampling units were used. Moreover, estimates derived from the frequently used method of sampling by removal of 25 stems, supposedly at random from each plot, were shown to be biased.


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