Genotype by Yield*trait Combination Biplot Approach to Evaluate Sesame Genotypes on Multiple Traits Basis

Abstract

The objectives of this study were to understand the relationships among various traits of the crop and to assess genotype profile suitable for semi-arid rainfed conditions. Experiments were conducted over 2 years at five locations to evaluate the performance of 10 sesame varieties in Randomized Complete Block Design. Significant variations were observed among the varieties for most studied traits with a consistent Genotype X Environment interaction. The genotype by yield*trait combination (GYT) biplot which captured 94.73% of the total variation showed that the key traits for a superior sesame variety in rainfed conditions of semi-arid regions are unbranched or few branches, earliness, medium height and short HIPC. The GYT biplot identified some superior sesame varieties as good for a specific trait or a group of traits. Based on the levels in combining yield with other target traits and genotype trait profiles, variety DS 01 was ranked first followed by SN 403. The GYT biplot approach used in this study was found to be very helpful in identifying key traits for superior genotypes of sesame in semi-arid conditions of Niger.

Comparison of genotype × trait and genotype × yield-trait biplots in Sunflower cultivars

“…Gholizadeh and Ghaffari (2022) on 24 sunflower hybrids used GYT graphical analysis and reported a significant and positive correlation between the number of seeds per head and 100-grain weight combined with grain yield. This method has also been used in the study of various crop plants, including durum wheat (Kendal 2019), bread wheat (Hamid et al, 2019), sesame (Boureima and Abdoua 2019), maize (Mousavi et al 2021) and oilseed rape (Zeinalzadeh-Tabrizi and Amiri Oghan 2021).…”

Genetic characterization and quantitative trait relationship using multivariate techniques reveal diversity among tomato germplasms

“…The application of GGE biplot to study GT correlation matrix has been witnessed in some crops species such as soybean (Yan & Rajcan, 2002), buckwheat (Joshi, 2012; Joshi & Okuno, 2010), linseed (Soto‐Cerda et al., 2014), oats (Martin et al., 2014), tartary sunflower (De C. Leite & de Oliveira, 2015), forage sorghum (Aruna et al., 2016), Ethiopian white lupin (Atnaf et al., 2017), durum wheat (Kendal, 2019; Mohammadi, 2019), Sesame (Boureima & Yaou, 2019), and maize (Munawar et al., 2013; Shojaei et al., 2020). Although many reports have implicated the application of GT analysis to discover superior accessions in many crops species, there is paucity of information on relationship between genotypes and the quantitative traits of related growth, floral, and fruit simultaneously in tomato germplasm especially in a controlled environment.…”

Genotype by yield*trait biplot analysis to evaluate Jatropha curcas genotypes based on multiple traits

“…GT biplot is constructed from GT data in Table 3. The vectors of the GT biplot was drawn based on the original biplot data for every trait, to investigate the relationship between traits [13]. The cosine of the angle between the vectors of two traits describes the Pearson correlation between them.…”

“…It could be a powerful tool to visualize data because the data can be viewed as a multivariate extension of the scatterplot [11]. The genotype by trait (GT) and genotype by yield* trait (GYT) biplot has been used to study trait relationships and genotype evaluation in some crop species, including covered oat [12], sesame [13], and durum wheat [14]. A GYT biplot is proposed to overcome the obstacle of genotype assessment on multiple traits that have been reliant on setting a subjective weight for index selection of each trait [12].…”