Results 261 to 270 of about 1,314,573 (305)

Generation Means Analysis Using Mixed Models

Crop Science, 2010
ABSTRACTThis paper shows how to perform generation means analysis, including estimation of genetic variance components, by a mixed model package. The approach is exemplified with a small dataset, which is analyzed by the MIXED procedure of the SAS System and by ASReml.
H. P. Piepho, J. Möhring
openaire   +1 more source

A Generalization of the Mean-Variance Analysis

SSRN Electronic Journal, 2008
In this paper we consider a decision maker whose utility function has a kink at the reference point with different functions below and above this reference point. We also suppose that the decision maker generally distorts the objective probabilities.
Valeri Zakamouline, Steen Koekebakker
openaire   +1 more source

Generation mean analysis in maize (Zea mays L.)

Journal of Oilseeds Research, 2020
Generation mean analysis in maize was performed using the progenies (F1, F2, BC1, BC2) of the cross IC- 328883x IC-541068. Significant differences among parents and generations were observed for all the 12 traits studied.Dominance x dominance epistatic gene effects were most important in governing maturity traits and yield attributing traits whereas ...
null KRANTIKUMAR H PATIL, null R C MAHAJAN, null V T NAGARGOJE   +2 more
openaire   +1 more source

Generation Means Analysis of Oil Concentration in Peanut

Journal of Crop Improvement, 2013
The current interest in biodiesel production has resulted in a concurrent interest in increasing the oil concentration in high-yielding cultivars, which could make peanuts (Arachis hypogaea.) more desirable as a biofuel source. Currently, peanut seed is approximately 450 to 500 g kg−1 oil on a dry weight basis, depending upon location grown, and there ...
Jeffrey N. Wilson, Michael R. Baring, Mark D. Burow, William L. Rooney, Charles E. Simpson   +4 more
openaire   +1 more source

Important considerations in the analysis of generation means

Euphytica, 1988
The weighted least squares (WLS) procedure has been widely used in the analysis of generation means in biometrical genetics. Two methods to carry out the analysis have been presented in the literature (Mather & Jinks, 1971; Rowe & Alexander, 1980). Neither method identified the factors that need to be taken into account when deciding which procedure to
Robert J. Beaver, Jorge A. Mosjidis
openaire   +1 more source

Generalized re-weighting local sampling mean discriminant analysis

Pattern Recognition, 2010
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Chai, Jing, Liu, Hongwei, Bao, Zheng
openaire   +2 more sources

Generalized means-ends analysis and artificial intelligence

Information Sciences, 1971
Artificial intelligence programs in the areas of theorem proving, problem solving (including analogies), concept formation, and pattern recognition are viewed as particularizations of a generalized means-ends analysis schema. The structural similarities among the various problem solvers are stressed.
openaire   +1 more source

Generating Rules by Means of Regression Analysis

1988
This paper proposes a procedure by which the results of a regression analysis are “transformed” into a decision tree, or into decision rules. This may oe useful either as a way of integrating regression analysis in a learning environment where the accumulated knowledge is represented symbolically, or simply as a way of deriving intuitive and ...
openaire   +2 more sources