Relationships of rice yield and quality based on genotype by trait (GT) biplot

Sharifi, Peyman; Ebadi, A.

doi:10.1590/0001-3765201820150852

Cited by 22 publications

(16 citation statements)

References 23 publications

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“…We used GT-biplot for selecting the most desirable index in discriminating the lines. GT-biplot can be used for identifying key traits, which is sufficient as a selection criterion to select for yield 32 – 34 . Badu-Apraku and Akinwale 32 utilized GT-biplot for the identification of the most reliable traits for selecting maize Striga resistance genotypes.…”

Section: Discussionmentioning

confidence: 99%

Screening of rice drought-tolerant lines by introducing a new composite selection index and competitive with multivariate methods

Sabouri

Dadras

Azari

et al. 2022

Sci Rep

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Selection and breeding for drought tolerance in rice have always been one of the leading objectives for rice breeders in water-deficient farming areas. In the present study, we applied the potential of recombinant inbred lines (RILs) population, which were derived from cross Shahpasand (Iranian landrace) and IR28, for the development of drought-tolerant rice lines. One hundred fifty-two lines along with five check varieties were investigated from 2017 to 2019 under non-stress and drought stress conditions. The yield reduction caused by drought based on overall mean during 2017, 2018, and 2019 were estimated to be 89.40, 57.95, and 35.31%, respectively. Using different statistical methods, certain lines, including L33, L90, and L109, which are considered as the best lines in most environments, were found to be promising for being utilized to increase rice drought tolerance. The averages of grain yield of the above-mentioned lines were respectively 6.45, 5.80, and 5.70 t ha−1 under non-stress condition, and respectively 2.77, 2.66, and 2.59 t ha−1 under drought stress condition. The yield reduction of the selected lines were significantly lower than that of others indicating the significant transgressive segregation. The results revealed using the combination of the best identified tolerance and susceptibility indices and GT-biplot are effective methods for screening superior lines. However, their utilization is not easy and requires specialized packages. For the first time, we introduced a new composite index as a combination of significant indices (CSI). CSI is in the form of a linear function of indices which effectiveness is determined by their correlation coefficient with grain yield. According to our results, using CSI, the identified rice drought-tolerant lines were in high agreement with those obtained by other methods, demonstrating that CSI is a simple but reliable composite index.

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Section: Discussionmentioning

confidence: 99%

Screening of rice drought-tolerant lines by introducing a new composite selection index and competitive with multivariate methods

Sabouri

Dadras

Azari

et al. 2022

Sci Rep

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“…The yield and quality results of the present study revealed that the first principal component (PCA 1) and the second (PCA 2) respectively exhibited 56.54% and 20.45% (totally 76.99%). Sharifi et al (2018) reported that the biplot analyses have been used to compare genotypes on the basis of multiple traits and to identify genotypes or groups that are particularly good in certain aspects, and that can be candidates for future breeding. In our study, the genotypes Ant, K-m, K-t, Y-c1, Yk,Y-m3, Y-sr1 and Y-y4 exhibited higher values compared the others in term of DPW, PY, K and P contents.…”

Section: Resultsmentioning

confidence: 99%

The Variation for Dry Weight and Hay Quality in Turkish Origin Wild Chicory (Cichorium intybus L.) Genotypes

Başaran¹,

Gülümser²,

Doğrusöz³

et al. 2019

Yüzüncü Yıl Üniversitesi Tarım Bilimleri Dergisi

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This study was conducted to determine dry plant weight and quality traits of chicory (Cichorium intybus L.) genotypes collected from eight provinces and 29 locations in Turkey. Field experiment was conducted in Yozgat conditions for two years (2015-2016 and 2016-2017) and the observations were performed in the second year. Dry plant weight, crude protein ratio and protein yield (g plant-1), ADF, NDF, K, P, Ca, Mg contents and K/(Ca+Mg) and Ca/P ratio were determined in chicory genotypes as yearly total or average. Total dry plant weight and average crude protein content ranged between 167.80-564.60 g plant-1 and 11.85-16.60%, respectively. The highest potassium content was determined as 2.442%, while it was lowest as 2.022%. The phosphorus, calcium and magnesium content ranged between 0.367-0.413%, 0.963-1.232% and 0.250-0.407%, respectively. As a result, significant differences were observed among the chicory genotypes for all the traits. Such a variation even in the restricted area is point out the high variation in Turkey. These differences encouraged to new studies on chicory in Turkey and were also promising for improving new varieties.

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“…Cassava mosaic disease severity score was closely associated with the genotypes CTSIA 110, CTSIA 112, CTSIA 230, CTSIA 45, CTSIA 48, CTSIA 65, and CTSIA 72. is visual revelation of genotypes and associated traits has been proposed in earlier studies through genotype°×°trait biplot analysis, as an efficient way of visualizing genetic correlation among trait studies [25-27, 61, 63]. It also enables the evaluation of genotypes based on multiple traits and provides information on useful and less important traits that can be used in indirect selection in multivariate analysis [26,63]. Environment°×°trait biplot also enables the visualization of the relationships between traits in different environments and what traits drive the variability among different genotypes evaluated in these environments [24].…”

Section: Discussionmentioning

confidence: 99%

Genotypic Variability in Some Morpho-Physiological Traits in Different Environments and Their Relationship with Cassava (Manihot esculentaCrantz) Root Yield

Adjebeng‐Danquah

Asante

Manu-Aduening

et al. 2020

International Journal of Agronomy

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Cassava root yield under diverse environments is influenced by morpho-physiological traits that are in turn influenced by genotype, environment, and genotype × environment interaction (GEI). Most GEI analyses in cassava have been limited to root yield with less emphasis on stability of other yield-related traits. This study was carried out to assess the effect of GEI on some morpho-physiological traits in cassava and key traits that are useful for selection in different environments. The study utilized 20 cassava genotypes evaluated in six environments, namely, Fumesua 2013 and 2014, Nyankpala 2013 and 2014 (irrigation), and Nyankpala 2013 and 2014 (no irrigation). The genotypes were arranged in a randomized complete block design (RCBD) with three replications and assessed for a number of morpho-physiological traits, root yield and yield components. The data were subjected to analysis of variance using SAS statistical package. Subsequently, the GGE biplot was used to carry out genotype × environment, genotype × trait, and environment × trait interaction analyses to determine the specificity of genotypic performance and traits linked to particular environments. The results indicated significant (P<0.05) GEI effect on all traits except leaf temperature. The genotype × trait biplot analysis revealed closely related traits and those associated with root yield and genotypes that show weakness in these traits. Both environment × trait biplot and principal component analyses identified traits with higher discriminatory power among genotypes in various environments particularly in the dry environments. These can be used as secondary traits to select drought-tolerant genotypes. From this study, the GGE biplot was useful in identifying traits associated with specific genotypes in different environments to aid in selection. Moderate broad-sense heritability estimates werefound for storage root yield, harvest index, plant height, ratio of storage rootlength to girth, and cassava mosaic disease score indicating that progresscan be made through selection for these traits.

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Relationships of rice yield and quality based on genotype by trait (GT) biplot

Cited by 22 publications

References 23 publications

Screening of rice drought-tolerant lines by introducing a new composite selection index and competitive with multivariate methods

Screening of rice drought-tolerant lines by introducing a new composite selection index and competitive with multivariate methods

The Variation for Dry Weight and Hay Quality in Turkish Origin Wild Chicory (Cichorium intybus L.) Genotypes

Genotypic Variability in Some Morpho-Physiological Traits in Different Environments and Their Relationship with Cassava (Manihot esculentaCrantz) Root Yield

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