The Additive Main effects and Multiplicative Interaction (AMMI) model, Genotype main effects
and Genotype× Environment interaction (GGE) model, and Principal Components Analysis …

Biplot analysis has been used for studying genotype× environment interaction (GE) or any
two‐way table. Its descriptive and visualization capabilities along with the availability of user …

This article presents a form of bi-cross-validation (BCV) for choosing the rank in outer
product models, especially the singular value decomposition (SVD) and the nonnegative …

Abstract Sorghum [Sorghum bicolor (L.) Moench] is a very important crop in the arid and
semi-arid tropics of India and African subcontinent. In the process of release of new cultivars …

The genotype by environment interaction (GEI)) has an influence on the selection and
recommendation of cultivars. The aim of this work is to study the effect of GEI and evaluate …

The success of plant breeding programs depends on the ability to provide farmers with
genotypes with guaranteed superior performance in terms of yield across a range of …

ABSTrACT genetics, genetics× environment (gge) biplot analysis is an effective method,
based on principal component analysis, to fully explore multi-environment trial data. it allows …

The genotype× environment interaction influences greatly the success of breeding strategy
in a multipurpose crop like sweet sorghum [Sorghum bicolor (L.) Moench]. Eleven improved …

Gasura, E., Setimela, PS and Souta, CM 2015. Evaluation of the performance of sorghum
genotypes using GGE biplot. Can. J. Plant Sci. 95: 1205–1214. In spite of sorghum's drought …

Matrix factorizations—where a given data matrix is approximated by a product of two or more
factor matrices—are powerful data mining tools. Among other tasks, matrix factorizations are …