What Attributes Are Consumers Looking for in Sweet Cherries? Evidence from Choice Experiments

Zheng, Xibei; Yue, Chengyan; Gallardo, Karina; McCracken, Vicki; Luby, James J.; McFerson, James R.

doi:10.1017/age.2016.13

Cited by 36 publications

(25 citation statements)

References 16 publications

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“…Powdery mildew (causative agent Podosphaera clandestina ) is a foliar and fruit disease with a high cost of control in susceptible cultivars. Sweetness and flavor were ranked by consumers as the most important attributes in sweet cherry, followed by firmness, shelf life, and fruit size [ 5 ]. Consumers are willing to pay more for sweet, firm cherries with an ideal balance of sweetness and acidity.…”

Section: Introductionmentioning

confidence: 99%

“…Consumers are willing to pay more for sweet, firm cherries with an ideal balance of sweetness and acidity. Sweetness and acidity are quantified with assays for soluble solids content (SSC) and titratable acidity (TA), respectively [ 5 – 8 ]. Market intermediaries indicated a willingness to pay producers more per pound for fruit greater than 2.5 cm in diameter, firmness above 300 g/mm, and SSC above 18 °Brix [ 9 ].…”

Section: Introductionmentioning

confidence: 99%

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Genomic heritability estimates in sweet cherry reveal non-additive genetic variance is relevant for industry-prioritized traits

et al. 2018

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BackgroundSweet cherry is consumed widely across the world and provides substantial economic benefits in regions where it is grown. While cherry breeding has been conducted in the Pacific Northwest for over half a century, little is known about the genetic architecture of important traits. We used a genome-enabled mixed model to predict the genetic performance of 505 individuals for 32 phenological, disease response and fruit quality traits evaluated in the RosBREED sweet cherry crop data set. Genome-wide predictions were estimated using a repeated measures model for phenotypic data across 3 years, incorporating additive, dominance and epistatic variance components. Genomic relationship matrices were constructed with high-density SNP data and were used to estimate relatedness and account for incomplete replication across years.ResultsHigh broad-sense heritabilities of 0.83, 0.77, and 0.76 were observed for days to maturity, firmness, and fruit weight, respectively. Epistatic variance exceeded 40% of the total genetic variance for maturing timing, firmness and powdery mildew response. Dominance variance was the largest for fruit weight and fruit size at 34% and 27%, respectively. Omission of non-additive sources of genetic variance from the genetic model resulted in inflation of narrow-sense heritability but minimally influenced prediction accuracy of genetic values in validation. Predicted genetic rankings of individuals from single-year models were inconsistent across years, likely due to incomplete sampling of the population genetic variance.ConclusionsPredicted breeding values and genetic values revealed many high-performing individuals for use as parents and the most promising selections to advance for cultivar release consideration, respectively. This study highlights the importance of using the appropriate genetic model for calculating breeding values to avoid inflation of expected parental contribution to genetic gain. The genomic predictions obtained will enable breeders to efficiently leverage the genetic potential of North American sweet cherry germplasm by identifying high quality individuals more rapidly than with phenotypic data alone.Electronic supplementary materialThe online version of this article (10.1186/s12863-018-0609-8) contains supplementary material, which is available to authorized users.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Genomic heritability estimates in sweet cherry reveal non-additive genetic variance is relevant for industry-prioritized traits

et al. 2018

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“…High FF is strongly preferred for sweet cherry so they are better able to withstand the handling, sorting, packing, storing, and transporting processes (Correia et al, 2017). Loss of FF directly impacts weight loss, off flavors, flesh browning, surface pitting, discoloration of the green stem, and fungal rotting (Kappel et al, 1996;Turner et al, 2005;Zheng et al, 2016). Although postharvest application of GB to 'Lapins' or 'Regina' cherries was shown to have an adverse effect on FF, GB-treated fruit had equal rates of peduncle browning and pitting relative to untreated fruit.…”

Section: Resultsmentioning

confidence: 99%

“…Fruit firmness (FF) is an important quality trait that has an impact on storage potential, disorder resistance, and decay development (Kappel et al, 1996). Poor appearance of soft fruit, such as dull skin color, surface pitting, and peduncle browning after storage or shipping, negatively impacts consumer purchase decisions (Turner et al, 2005;Zheng et al, 2016). The causes of fruit softening are largely attributed to improper preharvest treatment, delayed harvest date, calcium deficiency, and relatively high storage/shipping temperatures (Crisosto et al, 1993;Fils-Lycaon and Buret, 1990;Luo et al, 2014;Wang et al, 2014).…”

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confidence: 99%

Influence of Preharvest and Postharvest Applications of Glycine Betaine on Fruit Quality Attributes and Storage Disorders of ‘Lapins’ and ‘Regina’ Cherries

Li¹,

Zhi²,

Yu³

2019

horts

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This study aimed to evaluate whether preharvest or postharvest application of glycine betaine (GB) has the potential to improve fruit quality [fruit firmness (FF), size, skin color, soluble solids content (SSC), and titratable acidity (TA)] and susceptibility to storage disorders (peduncle browning, pitting, and decay) in ‘Lapins’ or ‘Regina’ sweet cherries, and to determine whether factors such as application frequency or timing impacted the efficacy of GB spraying. Adding 2 or 4 g·L−1 GB to hydro-cooling water (0 °C) as postharvest treatment did not affect fruit size, skin color, SSC, TA, peduncle browning, or pitting development; however, it did result in fruit softening and a low incidence of decay. GB applied preharvest at 2 or 4 g·L−1 once at 1 week before harvest (1WBH) was more effective for retaining FF and less peduncle browning and pitting compared with postharvest treatment. Increasing the preharvest GB application frequency from one time (1WBH or pit hardening) to three times (pit hardening, straw color, and 1WBH) enhanced FF and TA levels and resulted in lower pitting. The reduction in fruit size was observed for ‘Regina’, but not for ‘Lapins’. Changes in the contents of phosphorous (P), potassium (K), and magnesium (Mg) were unaffected by GB at harvest, whereas three GB sprays increased the total nitrogen (N) content. Compared with ‘Lapins’, ‘Regina’ allowed more calcium (Ca) uptake by GB and ultimately had firmer flesh. In conclusion, three preharvest applications of 4 g·L−1 GB showed great potential to improve quality attributes, to reduce the susceptibility to storage disorders, and to increase the Ca content of ‘Regina’ cherries.

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“…There are also some other early fruits, starting with the second half of May until July, without competing with other fruit tree species. As previous studies show, pollen germination capacity depends on various conditions, like environmental factors, or fertilizer management would be more appropriate of species and varieties grown (Cordea, 2014;Ercisli, 2007;Zheng et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Influence of Technology and Environment on the Pollen Germination Capacity in Cherry

Andrecan¹,

Mitre²,

Iordănescu³

et al. 2018

BUASVMCN-HORT

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Pollen of four cherry cultivars (‘Lapins, ‘Kordia’, ‘Sylvia’, ‘Regina’) was collected and examined with microscop to determine its germination capacity. It was observed that pollen fertility varied from 18.7 % to 80.1 %. Environmental conditions of the studied area as well as applied treatments affected pollen germination capacity. Due to the high maximum temperature recorded in 13.03.2018, bud formation was induced 18 day earlier than in the previous years, growth started on March 31st, when the temperature was 21.5˚C. Regarding production, the highest yield was obtained in ‘Regina’ variety 9.7 kg/tree, ‘Kordia’ 9.3 kg/tree, ‘Lapins’ 8.8 kg/tree and Sylvia 8.2 kg/tree. In autumn of the previous year, the trees were fertilized with urea, in a concentration of 3 kg per ha, and in the spring with CROPAID, in a concentration of 5 liters per ha. The results show that germination percentage was much higher in the pollen collected from the treated trees than in the untreated ones.

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What Attributes Are Consumers Looking for in Sweet Cherries? Evidence from Choice Experiments

Cited by 36 publications

References 16 publications

Genomic heritability estimates in sweet cherry reveal non-additive genetic variance is relevant for industry-prioritized traits

Genomic heritability estimates in sweet cherry reveal non-additive genetic variance is relevant for industry-prioritized traits

Influence of Preharvest and Postharvest Applications of Glycine Betaine on Fruit Quality Attributes and Storage Disorders of ‘Lapins’ and ‘Regina’ Cherries

Influence of Technology and Environment on the Pollen Germination Capacity in Cherry

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