Sasg × estab: A sas program for computing genotype × environment stability statistics

By M. Hussein, Å. Bjornstad, A. Aastveit. 2000

109 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/8517949dbdc376571517f6e42538c1e128b21fe6

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In Genetics

In Plant Science

Citations in the corpus

Analysis of Genotype × Environment Interaction (G×E) Using SAS Programming (2016, methodology): “Hussein et al. (2000) provided a SAS program (SASG´ESTAB) that computes univariate stability statistics and correlations among them.”
Glucosinolate profiles in Broccoli: Variation in levels and implications in breeding for cancer chemoprotection (2002, methodology): “Various methodologies have been suggested to analyze genotype × environment interactions to a greater degree than can be accomplished by a two-way analysis of variance (ANOVA) (for review see Hussein et al., 2000).”
Specific adaptation of barley varieties in different locations in Ethiopia (2009, methodology): “The analysis was performed using SASG £ ESTAB: a SAS program developed by Hussein et al. (2000).”
Use of AMMI and other stability statistics in the simultaneous selection of rice genotypes for yield and stability under direct-seeded conditions (2014, background): “…methods/ models (parametric and non-parametric), concepts, and definitions of stability have been described over the years by many researchers (Lin et al., 1986; Becker and Léon, 1988; Crossa et al., 1990; Lin and Binns, 1994; Hussein et al., 2000; Mohammadi and Amri, 2008; Mohammadi et al., 2010).”
AMMI and SREG GGE biplot analysis for matching varieties onto soybean production environments in Ethiopia (2009, background): “The practical utility of different statistical models to explain GEI and facilitate variety release decision have been extensively reviewed and published elsewhere (Becker and Leon, 1988; Crossa, 1990; Ferreira et al., 2006; Flores et al., 1998; Hussein et al., 2000; Lin et al., 1986; Zobel et al., ”
AMMI stability value and simultaneous estimation of yield and yield stability in bread wheat (Triticum aestivum L.) (2011, methodology): “Various statistical methods (parametric and non-parametric) have been proposed to study Genotype × environment interactions (Lin et al., 1986; Becker and Léon, 1988; Crossa, 1990; Lin and Binns, 1994; Hussein et al., 2000; Mohammadi and Amri, 2008; Mohammadi et al., 2010).”