the objective of this research was to evaluate and to quantify the magnitude of the genotype environment interaction effects on mung bean grain yield and to determine the winning genotype for the test environments. seven mung bean genotypes were tested at three locations for over two years. the grain yield data for each environment (location year combination) was first subjected to analysis of ...

Linear-bilinear models, especially the additive main effects and multiplicative interaction (AMMI) model, are widely applicable to genotype-by-environment interaction (GEI) studies in plant breeding programs. These models allow a parsimonious modeling of GE interactions, retaining a small number of principal components in the analysis. However, one aspect of the AMMI model that is still debated...

An isonymic analysis has been carried out using a sample of 1529 reconstituted families residing during 1870-1964 in Aranjuez, an urban area situated south of Madrid, Spain. The random, non-random and total-components inbreeding coefficients from isonymy were obtained and the various combinations of surnames compared in order to infer the patri- or matrilocal pattern of residence. Throughout th...

It is now widely recognized that geochemical survey data are compositional in nature, with each component having relative importance as part of a whole. Compositional analysis (CoDA) based on log-ratio transformations can be used to deal the ‘sum one’ constraint. This study explored use two data-driven CoDA approaches, centered (clr)-biplot and compositional-balance approach, investigate associ...

Fusarium wilt (Fusarium udum Butler) is an important biotic constraint to pigeonpea (Cajanus cajan L.) production worldwide. Breeding for fusarium wilt resistance continues to be an integral part of genetic improvement of pigeonpea. Therefore, the study was aimed at identifying and validating resistant genotypes to fusarium wilt and determining the magnitude of genotype × environment (G × E) in...

In the era of big data, capacity to produce textual documents is increasing day by day. Our ability generate large amounts information has impacted our lives at both individual and societal levels. Science not escaped this evolution either, it often difficult quickly reliably “stand on shoulders giants”. Text mining presented as a promising mathematical solution. However, yet convinced qualitat...

One of the major interests in soil analysis is the integrated evaluation of soil properties, which might be indicators of soil quality. Unsupervised methods of multivariate statistics are powerful tools for this integrated assessment and can help soil researchers to extract much more information from their data. A multivariate study was carried out in three farms from Guaı́ra, State of São Paulo...