Multivariate estimate of heritability for quality traits in tomatoes by the multiple factor analysis

Medico, Ana Paula Del; Cabodevila, Victoria Guadalupe; Vitelleschi, María Susana; Pratta, Guillermo Raúl

doi:10.1590/s1678-3921.pab2019.v54.00064

Cited by 5 publications

(3 citation statements)

References 12 publications

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“…The coefficient of genetic diversity observed in this study ranged from 9.89-26.08% and was classified as high. Mawasid et al (2019) reported that a high heritability value indicated that this character had the potential to advance selection. The high heritability value and the high coefficient of genetic diversity suggest that genetic factors cause differences in performance between genotypes.…”

Section: Estimation Of Variance Components and Heritabilitymentioning

confidence: 99%

Performance of tomato M7 mutant lines and their similarities to the parents based on SSR markers

2022

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Abstract. Arrufitasari PN, Sutjahjo SH, Wirnas D. 2022. Performance of tomato M7 mutant lines and their similarities to the parents based on SSR markers. Biodiversitas 23: 1239-1245. Tomato cultivation in the lowlands can be an alternative to increase tomato production so that high-yielding and lowland adaptive varieties are required. This study was aiming at determining the performance of M7 mutant lines and their similarities to the parents based on SSR markers. The experiments were conducted at KP Leuwikopo (250 m asl) and Plant Molecular Biology Laboratory, IPB University, Indonesia. The results showed that the G4 line had the highest productivity among the tested genotypes (36.72 ton ha-1) and significantly differed from all check varieties. The highest number of fruit per plant was 51.67 in the G7 line. On the other hand, G2, G3, G7, G8, and G10 lines had the lowest percentage weight and the number of fruits cracking and were not significantly different from the check varieties (Tora and Mawar). A total of 7 SSR primers detected 87 alleles with a range of 7-15 alleles per locus. The similarity between mutant lines and their parents ranged from 44-69%. The mutant most closely resembled the parent was the G3 line, while the most different based on molecular markers was the G9 line.

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Section: Estimation Of Variance Components and Heritabilitymentioning

confidence: 99%

Performance of tomato M7 mutant lines and their similarities to the parents based on SSR markers

2022

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“…Previous studies used this coefficient for the analysis of the genotype × environment interaction (Vitelleschi and Chavasa 2015;Zuliani et al 2012). The coefficient RV can be associated with the general heritability of the data set (Del Medico et al 2019). This estimation would make possible to carry out, objectively, a multi-character selection to continue with new cycles of self-fertilization and, thus, obtaining a joint response in the components of fruit quality.…”

Section: Resultsmentioning

confidence: 99%

Characterization of tomato generations according to a three-way data analysis

et al. 2020

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Availability of a three-way data analysis to characterize two consecutive tomato (Solanum lycopersicum) generations is necessary to continue a plant breeding program with less uncertainty. The aim of this work was to analyze tomato fruit quality from F 2 and F 3 populations by two three-way data analysis: multiple factorial analysis (MFA) and generalized procrustes analysis (GPA). These techniques have the same main objective, searching for a common structure, but they achieve it in different ways. This work evaluated 18 tomato genotypes, represented by individual plants in F 2 and selfed families in F 3. The same quantitative traits related to fruit quality were measured in both generations. The first two axes of the MFA represented 51.0% of the total variability. From the representation of the genotypes on these axes, traits differing from one generation to another were identified. The first two axes of the GPA represented 56.4% of the total variability. This analysis provided a table of analysis of variance (ANOVA), which corroborated the graphic and analytical interpretations of the MFA, a technique that provides the composition of the obtained axes. The comparison between the results obtained from these techniques indicated that both MFA and GPA allowed the detection of genotypes with discrepancies between the two generations. The MFA technique presented the advantage of studying graphically and analytically the nature and degree of phenotypic differences among genotypes in both generations, while the GPA complemented the analysis with an ANOVA, achieving the quantification of statistical significances for the discrepancies or similarities between them.

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“…To achieve the proposed methodological objective, the three-way data analysis technique called Multiple Factor Analysis (MFA) was used. This methodology allows a global analysis of data tables in which the same group of individuals is described through a set of variables, evaluated in different conditions, moments in time or places, such as the global evaluation of genotypes of tomato in two successive generations (Del Medico et al, 2019Medico et al, , 2020 or to globally analyze banana clones evaluated through quantitative and qualitative variables (Del Medico et al, 2021). This analysis allows balancing the influence of the different conditions in order to analyze them simultaneously.…”

Section: Discussionmentioning

confidence: 99%

Agroecological Aptitude of the North of the Province of Formosa (Argentinian Subtropical Region) for Banana Production

Del Medico,

Vitelleschi,

Lavalle

et al. 2023

Preprint

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Banana (Musa spp.) is an important crop to the economies of many developing countries. In the north of Argentina, a sub-tropical region, banana plants grow in a suboptimal environment that limits yield because only one harvest per year is achieved. The objective of this work was to characterize the agroecological aptitude of Formosa, Argentina, for banana production, through the behavior of three varieties of international use: Willians, Jafa and Gran Enano, evaluated during five consecutive campaigns. The three-way data analysis technique called Multiple Factor Analysis (MFA) was used for evaluating varieties’ performances across cycles of production. The results allowed inferring the existence of genotype x environment (GEI) interaction, corroborated by two-way factorial ANOVA. In order to determine how this suboptimal environment affects the development of each genotype of this perennial crop, Dual Multiple Factor Analysis (DMFA) was applied to jointly analyze the correlation structure among traits contributing to the performance of each variety at each campaign. The correlation structures between variables were different in each population and varied among campaigns. All traits showed a great variation across years and genotypes, the fruit peel thickness being the most discrepant throughout the campaigns. However, Formosa appeared as a promising subtropical agroecological environment to produce banana because varieties’ performances were acceptable for large scale production systems. In addition to evaluating the adequate aptitude for cultivating banana in Formosa considering the significant effect of GEI, this research makes a methodological contribution by proposing the use of three-way data analysis MFA and DMFA in Agronomy Science.

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Multivariate estimate of heritability for quality traits in tomatoes by the multiple factor analysis

Cited by 5 publications

References 12 publications

Performance of tomato M7 mutant lines and their similarities to the parents based on SSR markers

Performance of tomato M7 mutant lines and their similarities to the parents based on SSR markers

Characterization of tomato generations according to a three-way data analysis

Agroecological Aptitude of the North of the Province of Formosa (Argentinian Subtropical Region) for Banana Production

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