Literature DB >> 24247400

An adequate design for regression analysis of yield trials.

L Gusmão1.   

Abstract

Based on theoretical demonstrations and illustrated with a numerical example from triticale yield trials in Portugal, the Completely Randomized Design is proposed as the one suited for Regression Analysis. When trials are designed in Complete Randomized Blocks the regression of plot production on block mean instead of the regression of cultivar mean on the overall mean of the trial is proposed as the correct procedure for regression analysis. These proposed procedures, in addition to providing a better agreement with the assumptions for regression and the philosophy of the method, induce narrower confidence intervals and attenuation of the hyperbolic effect. The increase in precision is brought about by both a decrease in the t Student values by an increased number of degrees of freedom, and by a decrease in standard error by a non proportional increase of residual variance and non proportional increase of the sum of squares of the assumed independent variable. The new procedures seem to be promising for a better understanding of the mechanism of specific instability.

Year:  1985        PMID: 24247400     DOI: 10.1007/BF00252073

Source DB:  PubMed          Journal:  Theor Appl Genet        ISSN: 0040-5752            Impact factor:   5.699


  3 in total

1.  Bias in the estimation of regression coefficients in the analysis of genotype-environmental interaction.

Authors:  A J Wright
Journal:  Heredity (Edinb)       Date:  1976-10       Impact factor: 3.821

2.  Some statistical aspects of partitioning genotype-environmental components of variability.

Authors:  G K Shukla
Journal:  Heredity (Edinb)       Date:  1972-10       Impact factor: 3.821

3.  Environmental and genotype-environmental components of variability. 3. Multiple lines and crosses.

Authors:  J M Perkins; J L Jinks
Journal:  Heredity (Edinb)       Date:  1968-08       Impact factor: 3.821

  3 in total
  3 in total

1.  Inadequacy of blocking in cultivar yield trials.

Authors:  L Gusmão
Journal:  Theor Appl Genet       Date:  1986-04       Impact factor: 5.699

2.  Predictive and postdictive success of statistical analyses of yield trials.

Authors:  H G Gauch; R W Zobel
Journal:  Theor Appl Genet       Date:  1988-07       Impact factor: 5.699

3.  Trimmed joint regression: a new approach to the joint regression analysis for cultivar relative-performance evaluation.

Authors:  L Gusmão; J T Mexia; J Baeta
Journal:  Theor Appl Genet       Date:  1992-08       Impact factor: 5.699

  3 in total

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