Functional growth analysis of ‘Sonata’ strawberry plants grown under controlled temperature and daylength conditions

Sønsteby, Anita; Solhaug, Knut Asbjørn; Heide, Ola M.

doi:10.1016/j.scienta.2016.08.003

Cited by 39 publications

(43 citation statements)

References 23 publications

(31 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…This fact determines the differentiation of flower bud. Besides these factors, which refer to temperatures, other factors in the natural environment, like photoperiod and solar radiation variation, influence this process (SØNSTEBY et al, 2016).…”

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Vegetative Stage of Strawberry Duration Determined by the Crop Year

et al. 2017

View full text Add to dashboard Cite

-Over the years, strawberry growth has shown alterations in its phenology, involving mainly the beginning of flowering and fruiting. The aim of this study was to verify whether the growth years influence the duration of strawberry vegetative and reproductive stages in protected environment. The development of the Camarosa strawberry cultivar was observed between 2007 and 2014. The crops were settled in a greenhouse in the Horticulture Sector at the University of Passo Fundo, RS. Data like transplant date, in the beginning and end of the fruits harvest; temperature data (maximum, average and minimum) were recorded in the growth environment. These data were used for the thermal sum calculation (daily, accumulated). The data analyses were carried out in a descriptive manner, relating the temperature data with the phenological stage of each year. The accumulated thermal sum that is necessary to begin the harvest was variable throughout the years, where it was between 383 and 438 degrees days -1 for plants with interval between transplant and harvest of 73 days (2008 and 2009)

show abstract

Section: Resultsmentioning

confidence: 99%

“…This will induce to the translocation of photoassimilates of this body to floral induction, causing damage to the processes associated with the carbon balance of the plant (SØNSTEBY et al, 2016).…”

Section: Resultsmentioning

confidence: 99%

Vegetative Stage of Strawberry Duration Determined by the Crop Year

et al. 2017

View full text Add to dashboard Cite

show abstract

“…For that reason, the flower response in 'Maehyang' strawberry probably was affected by the C/N ratio, P, and other essential mineral concentrations in plants (Tables 3 and 4). Generally, a high C/N ratio should be conducive to floral initiation (Sønsteby et al, 2016). In addition, the W20 + N20 treatment seemed to induce fast flowering by a positive influence on seedling quality, including crown diameter and total fresh weight (Tables 1 and 2).…”

Section: Flowering Response Fruit Quality and Yieldmentioning

confidence: 96%

“…Furthermore, fast shipments can boost price competitiveness. For that reason, in order to induce flower bud differentiation during the nursery period of strawberry cultivation from August to September, previous studies have focused on low-temperature storage of runner plants (Yoshida et al, 2012), low-temperature and SD conditions (Ruan et al, 2011;Sønsteby et al, 2016), red LEDs (600 to 700 nm) affecting strawberry flowering (Takeda et al, 2008), end-of-day far-red (735 nm) and plant age affecting strawberry flowering (Zahedi and Sarikhani, 2016), SD conditions and timing of nitrogen fertilization period (Sønsteby et al, 2009), timing of nutrient starvation , and defoliation of strawberry. However, it is difficult to apply these techniques in conventional farms due to costs associated with facility maintenance, electricity and achieving the low-temperature and SD conditions.…”

Section: Introductionmentioning

confidence: 99%

Extended Supplementation of Nutrient Solution for Runner Plant Production Improved the Growth of Runner Plants and Enhanced the Reproduction Rate and Quality of ‘Maehyang’ Strawberry Fruits

Kim,

Lee,

Jeong

et al. 2019

HST

View full text Add to dashboard Cite

This study aimed to investigate the optimum supply period of nutrient solution for the growth of runner plants as well as the flowering, fruit quality, and yield of 'Maehyang' strawberry. The runner plants separated from the mother plants were divided into 5 groups, each receiving a supply period treatment of watering (W) and nutrient solution (N) [control (W40), combination of W and N: W20 + N20, W25 + N15, W30 + N10, and W35 + N5]. The EC and pH were 0.6 dS·m -1 and 6.5, respectively. The treated runner plants were transplanted to the strawberry growing pots filled with a commercial growing medium on September 13, 2017 and managed with EC 0.6 to 1.2 dS·m -1 strawberry nutrient solution. Growth characteristics and mineral elements of the runner plants were measured at 40 days after treatment. The crown diameter, fresh weight of shoot, and the leaf area were significantly higher in the W20 + N20 group. The P, Mg, S, and Fe contents in the runner plant leaves significantly increased in the W20 + N20 and the W25 + N15 groups. In addition, the C/N ratio was 7.81% higher in the W20 + N20 group than in groups that had received other treatments. The budding ratio and flowering of primary and secondary inflorescences in the W20 + N20 group were approximately 3 to 9 days faster compared to the control. The fruit characteristics, such as weight, length, diameter, firmness, soluble solids content, and acidity, were not significantly different across the groups. The total number of fruits and marketable fruit yield showed positive results in the W20 + N20 group during the total harvest period. The results indicate that the supply period of nutrient solution has a direct impact on the growth of runner plants of 'Maehyang' strawberry, and may also affect parameters of reproductive growth, such as flowering response and fruit yield after transplanting.Additional key words: budding ratio, C/N ratio, flowering response, marketable fruit Horticultural Science and Technology Extended Supplementation of Nutrient Solution for Runner Plant Production Improved the Growth of Runner Plants and Enhanced the ...

show abstract

“…responses per se or as a precursor to genetic analysis [1][2][3][4][5][6][7][8][9][10][11][12][13]. Because it involves non-invasive phenotyping of the same plants at different time points, it is now possible to measure many plants at many time points so that the precision of growth analyses [14] is much improved.…”

mentioning

confidence: 99%

Smoothing and extraction of traits in the growth analysis of noninvasive phenotypic data

et al. 2020

View full text Add to dashboard Cite

Background: Non-destructive high-throughput plant phenotyping is becoming increasingly used and various methods for growth analysis have been proposed. Traditional longitudinal or repeated measures analyses that model growth using statistical models are common. However, often the variation in the data is inappropriately modelled, in part because the required models are complicated and difficult to fit. We provide a novel, computationally efficient technique that is based on smoothing and extraction of traits (SET), which we compare with the alternative traditional longitudinal analysis methods. Results:The SET-based and longitudinal analyses were applied to a tomato experiment to investigate the effects on plant growth of zinc (Zn) addition and growing plants in soil inoculated with arbuscular mycorrhizal fungi (AMF). Conclusions from the SET-based and longitudinal analyses are similar, although the former analysis results in more significant differences. They showed that added Zn had little effect on plants grown in inoculated soils, but that growth depended on the amount of added Zn for plants grown in uninoculated soils. The longitudinal analysis of the unsmoothed data fitted a mixed model that involved both fixed and random regression modelling with splines, as well as allowing for unequal variances and autocorrelation between time points. Conclusions:A SET-based analysis can be used in any situation in which a traditional longitudinal analysis might be applied, especially when there are many observed time points. Two reasons for deploying the SET-based method are (i) biologically relevant growth parameters are required that parsimoniously describe growth, usually focussing on a small number of intervals, and/or (ii) a computationally efficient method is required for which a valid analysis is easier to achieve, while still capturing the essential features of the exhibited growth dynamics. Also discussed are the statistical models that need to be considered for traditional longitudinal analyses and it is demonstrated that the oft-omitted unequal variances and autocorrelation may be required for a valid longitudinal analysis. With respect to the separate issue of the subjective choice of mathematical growth functions or splines to characterize growth, it is recommended that, for both SET-based and longitudinal analyses, an evidence-based procedure is adopted.

show abstract

Functional growth analysis of ‘Sonata’ strawberry plants grown under controlled temperature and daylength conditions

Cited by 39 publications

References 23 publications

Vegetative Stage of Strawberry Duration Determined by the Crop Year

Vegetative Stage of Strawberry Duration Determined by the Crop Year

Extended Supplementation of Nutrient Solution for Runner Plant Production Improved the Growth of Runner Plants and Enhanced the Reproduction Rate and Quality of ‘Maehyang’ Strawberry Fruits

Smoothing and extraction of traits in the growth analysis of noninvasive phenotypic data

Contact Info

Product

Resources

About