Spatial Field Trend Analysis and Factor Analytic Model Under Linear Mixed Model in MultiEnvironment Trial Data: The Case of Durum Wheat in Ethiopia: OAJBS Publishers

Spatial Field Trend Analysis and Factor Analytic Model Under Linear Mixed Model in MultiEnvironment Trial Data: The Case of Durum Wheat in Ethiopia by Mekuria Dejene* in Open Access Journal of Biomedical Science (OAJBS)

In multi-environment trial (MET) data analysis, breeders are usually interested in performance of genotype across target environment (broad adaptation) and performance of genotype at individual environment (specific adaptation). Hence, the main objective of this study was to predict genetic potential of durum wheat across environment and to observe improvement in heritability across different statistical methods. MET data of durum wheat was taken from Debre zeit Agricultural Research Center (DzARC) of Ethiopian Institutes of Agricultural Research (EIAR) which was planted in 2011 and 2012 year of main season. Then, for the data analysis the standard linear mixed model (LMM) is applied using ASREML packages of R software considering spatial field trend at individual trial and factor analytic model among trial. The result of this study (Table 1) shows that on average, DSP2009- Off.F4.1H.378-meh.4H.187 genotype perform better than all other genotypes while, the performance of UC1113GPCLR198001/59 genotype is less compared to other genotypes. In addition, when looking at improvement in heritability (Figure 1) across three different statistical methods spatial field trend plus MET together indicate high improvement in heritability than the classical methods.
https://biomedscis.com/fulltext/spatial-field-trend-analysis-and-factor-analytic-model%20under-linear-mixed-model-in-multi-environment-trial-data.ID.000313.php

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