ISSR Analysis Reveals High Genetic Variation in Strawberry Three-Way Hybrids Developed for Tropical Regions

Corrêa, Jessica Vanessa Wosniak; Weber, Gabriela Gomes; Zeist, André Ricardo; Resende, Juliano Tadeu Vilela de; Silva, Paulo Roberto da

doi:10.1007/s11105-020-01270-7

Cited by 8 publications

(8 citation statements)

References 39 publications

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“…In general, strawberry presents great variability in hybrids obtained from crosses, which favors the selection of new cultivars 30 . Significant variability with identification of superior hybrids has been found in phenotypic analyses for yield and physicochemical traits in populations obtained from crosses between commercial strawberry cultivars in Brazil 9 , 12 , 13 , 31 – 33 . In addition, genetic studies with hybrids and commercial cultivars based on molecular markers have shown that the germplasm of the Brazilian strawberry breeding program has genetic variability and divergence; therefore, it has a high potential for launching new cultivars 9 , 34 .…”

Section: Discussionmentioning

confidence: 99%

“…Strawberry cultivars are usually selected based on yield, resistance to pests and disease, adaptability to semi-hydroponic systems, and fruit quality such as firmness, sweetness, acidity, and aroma 6 – 8 . Assembling all the favorable characteristics into a single cultivar is complex, especially because strawberries have an octaploid genome highly interactive with the environment 9 . After making biparental crosses, strawberry cultivar development takes several rounds of selection to identify the best offspring as potential cultivars.…”

Section: Introductionmentioning

confidence: 99%

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Multivariate analysis methods improve the selection of strawberry genotypes with low cold requirement

Barth

Resende

Mariguele

et al. 2022

Sci Rep

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Methods of multivariate analysis is a powerful approach to assist the initial stages of crops genetic improvement, particularly, because it allows many traits to be evaluated simultaneously. In this study, heat-tolerant genotypes have been selected by analyzing phenotypic diversity, direct and indirect relationships among traits were identified, and four selection indices compared. Diversity was estimated using K-means clustering with the number of clusters determined by the Elbow method, and the relationship among traits was quantified by path analysis. Parametric and non-parametric indices were applied to selected genotypes using the magnitude of genotypic variance, heritability, genotypic coefficient of variance, and assigned economic weight as selection criteria. The variability among materials led to the formation of two non-overlapping clusters containing 40 and 154 genotypes. Strong to moderate correlations were found between traits with direct effect of the number of commercial fruit on the mass of commercial fruit. The Smith and Hazel index showed the greatest total gains for all criteria; however, concerning the biochemical traits, the Mulamba and Mock index showed the highest magnitudes of predicted gains. Overall, the K-means clustering, correlation analysis, and path analysis complement the use of selection indices, allowing for selection of genotypes with better balance among the assessed traits.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Multivariate analysis methods improve the selection of strawberry genotypes with low cold requirement

Barth

Resende

Mariguele

et al. 2022

Sci Rep

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“…Short-day cultivars have high yield potential and larger fruits, but growers do not tend to produce them as day-neutral cultivars due to lower heat tolerance and shorter harvest periods [ 5 , 6 ]. Breeding programs in tropical regions have sought cultivars that can produce year-round [ 7 , 8 , 9 , 10 ] but without discarding the development of varieties responsive to a short photoperiod [ 11 , 12 ].…”

Section: Introductionmentioning

confidence: 99%

Selection of Short-Day Strawberry Genotypes through Multivariate Analysis

Rutz,

de Resende,

Mariguele

et al. 2023

Plants

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Strawberries are produced in tropical regions using imported cultivars adapted to temperate and subtropical climates. These cultivars, under tropical conditions, produce below their genetic potential. Through multivariate analyses, the objective was to evaluate and select short-day strawberry genotypes based on intraspecific crosses, product characteristics, and fruit quality. The genotypes were obtained from the cross between ‘Camino Real’ (female parent) and the first-generation genotypes RVCA16, RVCS44, RVFS06, RVFS07, and RVDA11 (male parent), obtained in previous selections. The experimental design consisted of augmented blocks with standard controls, consisting of first-generation genotypes and commercial cultivars. The fruits were harvested and evaluated for productivity and post-harvest characteristics: total fruit mass (MTF), total number of fruits (TFN), average fruit mass (AFM), commercial fruit mass (CFM), fruit commercial number (CFN), average commercial mass of fruits (ACFM), total soluble solids (TSS), firmness (F), brightness (L), hue angle (°Hue), and chroma (C). The selection index of Mulamba and Mock (1978) was used with an intensity of 3% to obtain superior genotypes and submitted to multivariate analysis for comparative purposes. Of the 1500 genotypes evaluated, it was possible to select 44 genotypes with characteristics superior to the 13 controls. The RVDA11CR59 genotype showed better values for the attributes of interest, but the RVCS44CR population, from the cross between ‘Camino Real’ × RVCS44 (‘Camarosa’ × ‘Sweet Charlie’), obtained the highest number (16) of individuals among those selected. Significant traits had high heritability but were not necessarily reflected in high selection gain. Coefficients of genetic variation were high, indicating sufficient genetic variability to select genotypes for these traits. When multivariate analyses were used, it was possible to group the selected genotypes into the same cluster according to the similarity and balance in the responses to the evaluated variables, demonstrating that these analyses help other parameters choose superior genotypes. The multivariate analysis allowed the selection of more balanced genotypes for production and post-harvest traits for tropical climates.

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“…Since the production of seedlings and fruits for processing and fresh consumption has been very profitable, strawberry production has aroused the interest of companies specialized in the import and registration of cultivars; thus, targeting the seedling market. The cultivars introduced in Brazil originated mainly from breeding programs in the United States (Zeist;Resende, 2019), Spain, and Italy (Corrêa et al, 2021, Resende et al, 2020. In Brazil, 57 strawberry cultivars registered in the Ministry of Agriculture, Livestock, and Food Supply (Brasil, 2021), responded differently to different cultivation conditions.…”

Section: Introductionmentioning

confidence: 99%

“…In Brazil, 57 strawberry cultivars registered in the Ministry of Agriculture, Livestock, and Food Supply (Brasil, 2021), responded differently to different cultivation conditions. Therefore, studies of adaptability and stability, as well as the development of genotypes in different regions, which take the edaphoclimatic diversity and specificity into account, are required (Corrêa et al, 2021;Zeist;Resende, 2019). These data can help guide producers to select more adapted cultivars.…”

Section: Introductionmentioning

confidence: 99%

Physical, biochemical, and sensory properties of strawberries grown in high-altitude tropical climate

et al. 2021

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New cultivars generated each year by international breeding programs enter the Brazilian market. These cultivars need to be tested for their adaptation to the climate in each environment due to the great variety of climates that exist in the country. Strawberry is a highly appreciated fruit due to its biochemical and sensory characteristics and is considered the most important berry. The objective of this study was to determine the physical, biochemical, and sensory properties by performing a sensory evaluation of strawberry fruits, commercially cultivated in the South Minas Gerais region, which is characterized by high-altitude tropical climates. Data were analyzed, and statistical parameters were generated using the principal component analysis (PCA), heat maps, and dendrograms to determine the genetic profile of each cultivar, as well as their relationship. The treatments and analyzed variables were divided into four groups based on the UPGMA method. Considering breeding programs aiming to identify and select strawberries genotypes with better biochemical properties, group III (‘Albion’ and ‘Oso Grande’) was selected due to its high DPPH antioxidant activity, intermediate anthocyanin content, and total phenolic compounds. The Albion cultivar showed excellent biochemical attributes, especially with regard to the levels of glucose, fructose, phenolic compounds, and antioxidant capacity (FRAP and DPPH). Based on the hierarchical grouping and sensorial quality of fruits, the Camarosa cultivar had the lowest scores for most of the sensory attributes evaluated. Minas-C and Oso Grande cultivars presented the highest scores for all the evaluated attributes, including overall acceptance, aroma, color, and purchase intention.

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ISSR Analysis Reveals High Genetic Variation in Strawberry Three-Way Hybrids Developed for Tropical Regions

Cited by 8 publications

References 39 publications

Multivariate analysis methods improve the selection of strawberry genotypes with low cold requirement

Multivariate analysis methods improve the selection of strawberry genotypes with low cold requirement

Selection of Short-Day Strawberry Genotypes through Multivariate Analysis

Physical, biochemical, and sensory properties of strawberries grown in high-altitude tropical climate

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