scholarly journals "Li Li-san line": Failure of Independent Trial by Leaders of CCP

2010 ◽  
Vol 2 (1) ◽  
Author(s):  
Liang Sui
Keyword(s):  
Independent Trial

scholarly journals Intensity of angular leaf spot and anthracnose on pods of common beans cultivated in three cropping systems

2009 ◽  
Vol 33 (spe) ◽  
pp. 1931-1934 ◽  
Author(s):  
Rogério Faria Vieira ◽  
Trazilbo José de Paula Júnior ◽  
Hudson Teixeira ◽  
Clibas Vieira
Keyword(s):  
Common Bean ◽  
Leaf Spot ◽  
Cropping Systems ◽  
Cropping System ◽  
Seed Transmission ◽  
Angular Leaf Spot ◽  
Common Beans ◽  
Growth Type ◽  
Independent Trial ◽  
Set Up

With the purpose to evaluate the intensity of angular leaf spot (ALS) and anthracnose (ANT) on pods, nine genotypes of common bean were planted in three cropping systems: monocrop (MC), monocrop grown on trellises (MCT), and intercrop with maize (ICM). In MC, beans were planted 0.5 m apart. Trelisses were set up with 1.8 m high bamboos and beans were sown 0.65 m apart. In ICM, beans were planted simultaneously with maize and in its rows. This cereal was sown 1.0 m apart with four plants per meter. Each cropping system was an independent trial installed close to each other. Climbing genotypes of beans most susceptible to ALS had less diseased pods in ICM than in both MC and MCT, but the less susceptible genotypes, regardless of their growth type, as well as the susceptible bush and semiclimbing genotypes, were similarly attacked by ALS in the three systems. ANT on pods of the susceptible bean cv. Pérola was less intense in MCT than in MC, and less intense in ICM than in MCT. ANT seed transmission was 11 %, 9.1 %, and 4.4 % when seeds come from MC, MCT, and ICM, respectively.

Eigenvalue Estimation Using Linearly Dependent Eigenfunctions

2000 ◽  
Vol 122 (4) ◽  
pp. 464-466 ◽  
Author(s):  
Keh-Yang Lee ◽  
Anthony A. Renshaw
Keyword(s):  
Linear Dependence ◽  
Test Results ◽  
Galerkin’S Method ◽  
Galerkin's Method ◽  
Independent Trial ◽  
Linearly Independent ◽  
Eigenvalue Estimation

A technique is developed for estimating the eigenvalues of one problem using an expansion of linearly dependent eigenfunctions of another problem. Such an expansion cannot be used with Galerkin’s method because the linear dependence of the eigenfunctions renders Galerkin’s method singular. Test results indicate that the method converges and is as accurate as Galerkin’s method with linearly independent trial functions. [S0739-3717(00)01804-3]

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