Replication Data for: Variance Component Estimations and Mega-environments for Sweetpotato Breeding in West-Africa
<|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:'The current study was aimed at identifying mega-environments in Ghana and evaluating adaptability of superior sweetpotato genotypes from a targeted breeding effort. Three sets of genotypes were evaluated in multi-environment trials (MET). In the first part, twelve sweetpotato varieties were evaluated across nine environments representing the main agro-ecological zones in Ghana. Analysis of MET data was conducted using a stage-wise approach withthe genotype-by-environment (GxE) table of means used as a starting point to model the GxE interaction for sweetpotato yield. Emphasis was given to the genetic correlation matrix used in a second-order factor analytic model that accommodates heterogeneity of genetic variances across environments. A GGE plot of storage root yield explained 82 percent of the variation in the first principal componen' . 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" : ["Adaptation","Breeding","Genetic Variation","Genotype environment interaction","Ghana (West Africa)","Site (Trial)","Sweetpotato"]} <|eot_id|>
 Here is the Description of a dataset. Description:'The current study was aimed at identifying mega-environments in Ghana and evaluating adaptability of superior sweetpotato genotypes from a targeted breeding effort. Three sets of genotypes were evaluated in multi-environment trials (MET). In the first part, twelve sweetpotato varieties were evaluated across nine environments representing the main agro-ecological zones in Ghana. Analysis of MET data was conducted using a stage-wise approach withthe genotype-by-environment (GxE) table of means used as a starting point to model the GxE interaction for sweetpotato yield. Emphasis was given to the genetic correlation matrix used in a second-order factor analytic model that accommodates heterogeneity of genetic variances across environments. A GGE plot of storage root yield explained 82 percent of the variation in the first principal componen' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
The current study was aimed at identifying mega-environments in Ghana and evaluating adaptability of superior sweetpotato genotypes from a targeted breeding effort. Three sets of genotypes were evaluated in multi-environment trials (MET). In the first part, twelve sweetpotato varieties were evaluated across nine environments representing the main agro-ecological zones in Ghana. Analysis of MET data was conducted using a stage-wise approach withthe genotype-by-environment (GxE) table of means used as a starting point to model the GxE interaction for sweetpotato yield. Emphasis was given to the genetic correlation matrix used in a second-order factor analytic model that accommodates heterogeneity of genetic variances across environments. A GGE plot of storage root yield explained 82 percent of the variation in the first principal componen
Adaptation; Breeding; Genetic Variation; Genotype environment interaction; Ghana (West Africa); Site (Trial); Sweetpotato