Genotype selection based on multiple traits in cotton crops: The application of genotype by yield*trait biplot

Abstract

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 fiber quality traits. The aim of this study was to applied genotype by yield*trait (GYT) biplot to a multi-environment trial data of cotton genotypes and selected the best genotypes. For this end, thirteen genotypes from nineteen trials were assessed. Seven traits were evaluated [cotton seed yield (SY), fiber percentage (FP), fiber length (FL), fiber uniformity (FU), short fiber index (SFI), fiber strength (FS), and elongation (EL)] and residual error variances structures [identity variance (IDV) and diagonal (Diag)] were tested by bayesian information criterion. After, the REML/BLUP approach was applied to predict the genetic values of each trait and the selective accuracy were measured from the prediction. Then, the GYT-biplot were applied to the data. For SP and SFI traits, the model with Diag residual variance was indicated, whereas for SY FL, FU, FS, and EL traits the model with IDV residual variance demonstrated the best fit to the data. Values of accuracy were higher than 0.9 for all traits analyzed. In the GYT-biplot acute angles were find for all traits relations, which means high correlation between the yield*traits combination. Besides that, the correlation still can be seen in the GYT-biplot, as shown by the magnitudes of the angles between the pairs Yield*FU-Yield*FS and Yield*FS-Yield*EL. Also, the GYT-biplot indicates the genotype G4 with the best performance for Yield*FS, Yield*SFI, Yield*FU, Yield*FL, and Yield*FP combined. The genotypes G4, G1, G13, G8, and G9 represent those genotypes with yield advantage over the other cultivars. Then, the genotype G4 combines all desirable characteristics and demonstrate have large potential in the cotton breeding. The GYT approach were valuable and were highly recommended in cotton breeding programs for selection purpose in a multivariate scenario.

Two types of biplots to integrate multi‐trial and multi‐trait information for genotype selection

“…Moreover, the GYT two‐way table can be displayed in a biplot, referred to as GYT biplot, which allows visualization of the genotypes' overall superiority as well as their trait profiles (strengths and weaknesses) (Yan & Fregeau‐Reid, 2018; Yan et al., 2019). The GYT procedure has already gained some popularity in multi‐trait selection of various crops (e.g., da Cruz et al., 2020; Faheem et al., 2023; Gholizadeh et al., 2023; Karahan & Akgün, 2020; Kendal, 2020; Ma et al., 2023; Merrick et al., 2020; Mohammadi, 2019; Peixoto et al., 2022; Xu et al., 2021). [Correction added on 3 April, after first online publication: missing text “For example … various crops” is added.…”

Phenotyping new rapeseed lines based on multiple traits: Application of GT and GYT biplot analyses

“…The GYT methodology provides a superiority index (SI) for evaluating genotypes based on all yield–trait combinations and identifies the weaknesses and strengths of each genotype (Mohammadi, 2019). This method for the evaluation of the genotypes based on multiple traits was used in different crops by Yan and Frégeau‐Reid (2018) in oats, Kendal (2019) in durum wheat, Boureima and Abdoua (2019) in sesame, Da et al (2020) in cowpea, Hudzenko et al (2021) in barley, Peixoto et al (2022) in cotton, and Gouveia et al (2020), Gouveia et al (2022) in Urochloa sp. So far, GYT biplot analysis had not been used in rapeseed breeding for examining the relationships between different traits and selecting genotypes based on different traits, and certainly this is the novelty for this paper.…”