Tomato second cycle hybrids as a source of genetic variability for fruit quality traits

Costa, Javier Hernán Pereira da; Rodríguez, Gustavo; Liberatti, David Rodolfo; Mahuad, Sabina Lara; Basté, Ezequiel Marchionni; Picardi, Liliana Amelia; Zorzoli, Roxana; Pratta, Guillermo Raúl

doi:10.1590/1984-70332016v16n4a44

Cited by 7 publications

(3 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However and in contrast with the expected under selfing, i.e., a broadening in phenotypic variability due to an increment in homozygosity, the variance for all traits was greater in F 2 than in F 3 , except for shelf life. In previous studies (Cabodevila et al 2017a;Pereira da Costa et al 2016), this relationship between SCH and their segregating generations was verified. In general, average and variability are greater in parents than in progenies.…”

Section: Resultsmentioning

confidence: 54%

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

et al. 2020

View full text Add to dashboard Cite

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.

show abstract

Section: Resultsmentioning

confidence: 54%

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

et al. 2020

View full text Add to dashboard Cite

show abstract

“…A double-cross is generated from a two-stage crossing involving two pairs of inbreeds. Plants from a double-cross hybrid are not genetically uniform (heterozygous) (Pereira da Costa et al 2016). Evaluation and selection are required to achieve high homozygosity with superior traits (Chung and Liao 2020).…”

Section: Introductionmentioning

confidence: 99%

Selection of tomato breeding lines based on morphological traits associated with high yield potential in double-cross population

2022

View full text Add to dashboard Cite

Abstract. Anisa WN, Afifah EN, Murti RH. 2022. Selection of tomato breeding lines based on morphological traits associated with high yield potential in double-cross population. Biodiversitas 23: 2973-2980. Low tomato production is a global problem. Plant breeding has been intensified to develop high-yield varieties and meet the high production of vegetable crops. Selection is an essential part of plant breeding to evaluate desirable traits of breeding lines. This study aimed to identify tomato breeding lines with high yield potential from 13 breeding lines and 2 commercial tomatoes. Collected data were analyzed using analysis of variance, post hoc, path, and principal component analysis. Results showed that 9 tomato lines, namely, BV-1, BV-2, BV-3, BV-6, BV-7, BV-9, BV-11, BV-12, and BV-13 had a high yield potential based on the number of fruits per plant and fruit weight. Given their high path coefficient value and significant correlation (P<0.05) with the yield potential, these two characteristics are highly recommended to be used as selection criteria for the high yield potential of tomato plants. The following characteristics had a high value of heritability: fruit weight, fruit length, fruit diameter, fruit firmness, fruit locules, fruit pericarp thickness, total soluble solid, number of flowers per bunch, number of fruits per bunch, number of fruits per plant, and harvesting age.

show abstract

“…By crossing selected RILs, second-cycle hybrids (SCH) are obtained (Ipsilandis et al, 2006;Pereira da Costa et al, 2016). Cabodevila et al (2017a) evaluated a F 2 population of 69 individuals that was generated by selfing the SCH (F 1 ToUNR18 x ToUNR1) obtained by Marchionni Basté et al (2010) when crossing some of the previously mentioned tomato RILs.…”

Section: Introductionmentioning

confidence: 99%

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

Medico

Cabodevila

Vitelleschi

et al. 2019

Pesq. agropec. bras.

View full text Add to dashboard Cite

The objective of this work was to evaluate a multiple factor analysis approach to estimate heritability for quality traits in tomatoes (Solanum lycopersicum), taking as a reference the values of heritability obtained through the classical method offspring-parent regression. A total of 18 F3 tomato families originated from the selfing of 18 individuals from a second-cycle hybrid were evaluated. In both generations, ten quantitative traits related to fruit quality were assessed. The multiple factor analysis showed that some of the evaluated traits performed differently and others similarly between generations. Heritability is low or null for some traits, such as shelf life and reflectance percentage, and high for others, as weight and shape. That analysis also enables the study of the global connection between both generations through the RV (F3, F2) coefficient, which measures the correlation between two matrix configurations. RV was 0.503 and may be associated with the general heritability of all data. The multiple factor analysis is a valid multivariate technique to evaluate heritability for quality traits in tomatoes.

show abstract

Tomato second cycle hybrids as a source of genetic variability for fruit quality traits

Abstract: The objective of this study was to investigate the phenotypic and molecular variability in a F

Cited by 7 publications

References 35 publications

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

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

Selection of tomato breeding lines based on morphological traits associated with high yield potential in double-cross population

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

Contact Info

Product

Resources

About