Identifying a stable high-yielding variety is challenging. This paper reports high-yielding and stable durum wheat candidates identified using AMMI, GGE biplot models, and stability parameters. Twenty ...
In cotton crops, the cotton seed yield significantly contributes with the success of any cultivar. However, other traits are considered when an ideotype is pointed out in the selection, such as the ...
Abstract: GGE Biplot Analysis together with Precision Agriculture Practices is a useful tool for enhancing rice production under diverse environments. It utilizes modern agricultural data science ...
In the R programming language, the de facto standard framework for drawing rectangular coordinates is ggplot2. The most important feature of ggplot2 is that it is object-oriented and uses the plus ...
# Create the biplot with error bars, custom axis labels, and updated title ggplot(data, aes(x = meand13C, y = meand15N, color = Treatment, shape = Sample.Type ...
Abstract: In microarray/RNAseq experiments, different samples used in the same experiment may have significant levels of heterogeneity. Here, heterogeneity refers to the unique temporospatial ...
Genotypes with bold letters indicate the best genotypes with the above trial mean grain yield having ASV less than 10 and lowest YSI. RY, rank of the test genotype based on mean grain yield; ASV, AMMI ...
ABSTRACT: The present study focused on evaluating the agronomic performance, stability, and anthracnose resistance of common bean lines derived through Marker-Assisted Backcrossing in Uganda. Eight ...
Labeling all or some of your data with text can help tell a story — even when your graph is using other cues like color and size. ggplot has a couple of built-in ways of doing this, and the ggrepel ...
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