Characterization of strawberry genotypes with low chilling requirement for cultivation in tropical regions

Moreira, Aline Fabiana Paladini; Resende, Juliano Tadeu Vilela de; Shimizu, Gabriel Danilo; Hata, Fernando Teruhiko; Nascimento, Daniele do; Oliveira, L. V.; Zanin, Daniel Suek; Mariguele, Keny Henrique

doi:10.1016/j.scienta.2021.110629

Cited by 7 publications

(14 citation statements)

References 66 publications

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“…However, the coefficients of genotypic variation indicate that environmental conditions are much less affected. Characteristics related to appearance can be defined as phenotypic classes that are easily distinguishable and little influenced by the environment, as one or a few genes mainly control these characteristics [ 10 , 23 ].…”

Section: Discussionmentioning

confidence: 99%

“…These data indicate significant divergence from other studies that evaluated strawberry genotypes in terms of product characteristics and fruit quality. Some studies found differences for all evaluated properties [ 8 , 9 , 10 , 11 , 12 , 24 ]. However, others showed that the attributes did not differ when evaluating the aspects involving production, post-harvest, and physical–chemical variables [ 7 , 25 , 26 ].…”

Section: Discussionmentioning

confidence: 99%

“…Multivariate analyses are essential for selecting parents and cross to obtain superior strawberry genotypes. Through multivariate methods, studies were able to determine the potential of cultivars for greenhouse cultivation [ 10 , 15 ] or even to select genotypes for fresh consumption and processing based on traits of economic interest [ 7 , 19 ]. The selection index of Mulamba and Mock (1978) has been employed for genotype selection in strawberry fruit satisfactorily [ 7 , 10 , 24 ].…”

Section: Discussionmentioning

confidence: 99%

“…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%

“…Thus, the use of multivariate methods can help in the selection efficiency. Mulamba and Mock’s (1978) [ 14 ] index showed promise in screening superior strawberry genotypes selected based on various attributes of economic importance [ 7 , 8 , 10 ]. Likewise, principal component analysis (PCA) has helped to verify the similarity between genotypes and commercial cultivars [ 7 ] for classification into groups according to their productive potential [ 15 ] and in the comparison of infrared spectra of strawberry juice regarding storage time [ 16 ].…”

Section: Introductionmentioning

confidence: 99%

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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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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Selection of Short-Day Strawberry Genotypes through Multivariate Analysis

Rutz,

de Resende,

Mariguele

et al. 2023

Plants

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Obtention and Selection of Experimental Strawberry Genotypes (Fragaria x ananassa) Adapted to Brazilian Soil and Climatic Conditions

et al. 2023

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Firma espectral de peca de la hoja (Mycosphaerella fragariae (Tul.)) en plantas de fresa (Fragaria x ananassa Duch) relacionada a índices NDVI y NDRE

2023

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Introducción: El cultivo de fresa se ve seriamente afectado por diferentes enfermedades que resulta en disminución de la producción y de la calidad de la fruta. Dentro de las enfermedades más importantes que atacan al cultivo de fresa se encuentra Mycosphaerella fragariae, agente causal de la peca de la hoja que en estados avanzados puede llevar a la perdida total de los cultivos. El monitoreo de esta enfermedad es una herramienta fundamental para su prevención y control. Las herramientas de agricultura de precisión y agricultura 4.0 como las imágenes obtenidas por drones facilitar la toma de decisiones por parte de los productores y optimizan las labores de cultivo como el monitoreo. Objetivo: En este estudio se identificó la relación entre el porcentaje de área afectada por peca de la hoja (Mycosphaerella fragaraiae) y los índices NDVI y NDRE. Metodología: El estudio se desarrolló en la provincia de Pamplona en Norte de Santander con alta presión de inoculo de Mycosphaerella fragariae. Se colectaron foliolos de plantas de fresa con diferentes grados de afectación causada por Mycosphaerella fragariae, este material vegetal se transportó garantizando su conservación hasta el laboratorio, donde se realizaron mediciones con el espectrorradiómetro portátil EPP2000 de la marca Stellar Net, de las cuales se tomaron los valores de la banda roja, infrarroja y del borde rojo de cada una para realizar el cálculo de varios índices incluyendo el NDVI y el NDRE, estos valores se promediaron para cada grado de afectación. A cada una de las hojas se le calculó el área de afectación exacta a partir del software Compu eye leaf and symptom área y se calcularon los coeficientes de correlación buscando una relación lineal mutua a partir de regresiones lineales simples. Resultados: Se logró identificar que el índice NDRE se correlaciona en un 82% con el área afectada por Mycosphaerella fragariae hasta en un 70 %. Conclusión: El porcentaje de área afectada por peca de la hoja (Mycosphaerella fragariae) se encuentra directamente relacionada con la respuesta espectral en términos de índices NDVI y NDRE

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Characterization of strawberry genotypes with low chilling requirement for cultivation in tropical regions

Cited by 7 publications

References 66 publications

Selection of Short-Day Strawberry Genotypes through Multivariate Analysis

Selection of Short-Day Strawberry Genotypes through Multivariate Analysis

Obtention and Selection of Experimental Strawberry Genotypes (Fragaria x ananassa) Adapted to Brazilian Soil and Climatic Conditions

Firma espectral de peca de la hoja (Mycosphaerella fragariae (Tul.)) en plantas de fresa (Fragaria x ananassa Duch) relacionada a índices NDVI y NDRE

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