GEA-R (Genotype x Environment Analysis with R for Windows) Version 4.1
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'In agricultural experimentation, a large number of genotypes are normally tested over a wide range of environments. The occurrence of the genotype (G) X environment (E) interaction (GEI) effect further complicates the selection of superior genotypes for a target population of environments. In the absence of GEI, the superior genotype in one environment may be regarded as the superior genotype in all, whereas the presence of the GEI confirms particular genotypes being superior in particular environments. Several statistical methods were developed for resolved that kind of problems, for example, Additive main effect and multiplicative interaction analysis (AMMI), Site regression (SREG), Partial least square (PLS), Stability analysis and Factorial regression' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["AMMI","Factorial Regression","Genotype by Environment Interaction","Multienvironment trials","Partial Least Squares","PLS","R program","SREG","Stability Analysis"]} <|eot_id|>
 Here is the Description of a dataset. Description:'In agricultural experimentation, a large number of genotypes are normally tested over a wide range of environments. The occurrence of the genotype (G) X environment (E) interaction (GEI) effect further complicates the selection of superior genotypes for a target population of environments. In the absence of GEI, the superior genotype in one environment may be regarded as the superior genotype in all, whereas the presence of the GEI confirms particular genotypes being superior in particular environments. Several statistical methods were developed for resolved that kind of problems, for example, Additive main effect and multiplicative interaction analysis (AMMI), Site regression (SREG), Partial least square (PLS), Stability analysis and Factorial regression' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
In agricultural experimentation, a large number of genotypes are normally tested over a wide range of environments. The occurrence of the genotype (G) X environment (E) interaction (GEI) effect further complicates the selection of superior genotypes for a target population of environments. In the absence of GEI, the superior genotype in one environment may be regarded as the superior genotype in all, whereas the presence of the GEI confirms particular genotypes being superior in particular environments. Several statistical methods were developed for resolved that kind of problems, for example, Additive main effect and multiplicative interaction analysis (AMMI), Site regression (SREG), Partial least square (PLS), Stability analysis and Factorial regression
AMMI; Factorial Regression; Genotype by Environment Interaction; Multienvironment trials; Partial Least Squares; PLS; R program; SREG; Stability Analysis