Phenology and agronomic components of first and second-cycle strawberry

Zeist, André Ricardo; Resende, Juliano Tv; Filho, Renato Barros de Lima; Gabriel, André; Henschel, Juliane Maciel; Silva, Israel Fl da

doi:10.1590/s0102-053620190104

Cited by 10 publications

(13 citation statements)

References 18 publications

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“…Therefore, the superiority of hybrids regarding yield traits when 'Camarosa' was one of the parents is due to the presence of a high number of favorable alleles in this cultivar, which makes it a promising parent for strawberry breeding programs [44,45]. Currently, 'Camarosa' has been the most planted cultivar in the world, being a market leader for over twenty years [46,47], but it has sensitivity to photoperiod (short-day) and susceptibility to main diseases [45,48,49]. Thus, new crossings are required to generate hybrids with the agronomic and postharvest quality of 'Camarosa', but that have other levels of resistance to pests and diseases and different responses to temperature and photoperiod.…”

Section: Discussionmentioning

confidence: 99%

Selection of Experimental Hybrids of Strawberry Using Multivariate Analysis

et al. 2020

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The selection of superior strawberry genotypes is a complex process due to the high variability after hybridization that is caused by the octoploid nature and the heterozygosis, making the selection of multiple traits difficult. This study aimed to select strawberry hybrids with the potential for fresh consumption and/or processing by applying multivariate analysis to obtain traits of interest simultaneously. Hybrids were obtained from the crossing among seven commercial cultivars, defining a selection of 10% of them. The experimental design consisted of an augmented block design, with two commercial cultivars, Camarosa and Camino Real, as the controls. Different variables, including the number and average mass of commercial fruits, total fruit mass, pH, soluble solids (SS), titratable acidity (TA), SS/TA ratio, reducing sugars, pectin, ascorbic acid, phenolic compounds, and anthocyanin’s, were assessed. The selection of hybrids was based on the Mulamba and Mock rank-summation index, principal component analysis, and Ward’s hierarchical cluster analysis. The selection index was based on different weights being adopted for fresh market and processing. The assessed traits had high variability between hybrids. The highest selection gains were obtained for production traits, but the different weight assignment resulted in different classifications of hybrids for both fresh consumption and processing. Most of the hybrids selected by the index remained in the same group in the principal component and hierarchical cluster analyses, which indicates that multivariate analysis is a valuable tool for assisting in the selection of superior hybrids in the strawberry crop.

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Section: Discussionmentioning

confidence: 99%

Selection of Experimental Hybrids of Strawberry Using Multivariate Analysis

et al. 2020

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“…Other studies indicate that for leaves and crown development, the base temperature is 7 • C [14][15][16]. Nevertheless, the base temperature for floral induction has been reported to be 5 • C [17].…”

Section: Introductionmentioning

confidence: 99%

Model Development of the Phenological Cycle from Flower to Fruit of Strawberries (Fragaria × ananassa)

Hernández-Martínez,

Salazar-Gutiérrez,

Chaves-Córdoba

et al. 2023

Agronomy

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Strawberries are a very important economic crop; thus, a lot of research has been conducted on several production areas. However, phenological performance is still lacking information, especially when it comes to modeling. Therefore, this study aims to develop a phenological model for flower–fruit development under hydroponic conditions to support growers’ decision-making. Two day-neutral cultivars, ‘Albion’ and ‘San Andreas’, were established in a drip hydroponic system in Auburn, Alabama for the 2022–2023 production season. Phenological data were collected daily on 30 flowers per cultivar for three periods (Oct 25–Dec 16, Dec 27–Feb 21, and Feb 28–Apr 16). Weather data were obtained from a weather station placed in the greenhouse. Growing degree days (GDD) accumulation was calculated for each stage and cycle using a base temperature (Tb) of 3 °C. The Gaussian model was adjusted for each stage and cycle using a non-linear procedure to obtain Gaussian curves. Simulations were made for the model assuming temperature would increase or decrease by 1 °C. Six stages were identified, and their cycle ranged from 43–56 days to be accomplished. ‘Albion’ needed more days to reach maturity, with 51, 56, and 47 days, and ‘San Andreas’ took 43, 54, and 46 days for cycles 1, 2, and 3 respectively. In addition, for cycles 1 and 2, not all the buds reached maturity, as expected. Stage 5 (fruit formation) needed more days than the rest of the stages to be completed. Because of the different starting dates for each cycle, the starting GDD was different as well. A sensitivity analysis simulation of the model showed that if temperature decreases by 1 °C, the GDD accumulated to complete the stages would be less (same dates), and it would be more if the temperature increased by 1 °C. The opposite happened with the days, if the temperature increased by 1 °C, the duration of the stage decreased, and it would increase if the temperature decreased by 1 °C, affecting stages 4, 5, and 6. Overall, ‘San Andreas’ performed better than ‘Albion’ under hydroponic conditions during three productive cycles.

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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%

“…The search for short-day, productive cultivars with good post-harvest characteristics and adapted to tropical conditions is in focus in the strategic planning of breeding programs in countries with this climatic condition. However, in the early stages of the breeding program, identifying genotypes with good yield and physical–chemical quality (shape, color, brightness, firmness, flavor, and bioactive compounds) of the fruit is a complex and challenging process [ 6 , 13 ]. It should consider as many variables as possible and seek the best balance.…”

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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Phenology and agronomic components of first and second-cycle strawberry

Cited by 10 publications

References 18 publications

Selection of Experimental Hybrids of Strawberry Using Multivariate Analysis

Selection of Experimental Hybrids of Strawberry Using Multivariate Analysis

Model Development of the Phenological Cycle from Flower to Fruit of Strawberries (Fragaria × ananassa)

Selection of Short-Day Strawberry Genotypes through Multivariate Analysis

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