Influence of Sunlight Level and Rootstock on Apple Fruit Quality

Barritt, B. H.; Konishi, Bonnie S.; Drake, S.R.; Rom, Curt R.

doi:10.17660/actahortic.1997.451.66

Cited by 22 publications

(16 citation statements)

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“…None of these studies held rectangularity constant. Shade is known to reduce fruit size (Barritt et al, 1997), so factors affecting light relations in the canopy, such as rootstock vigor, training system, and rectangularity, can also affect fruit size.…”

Section: Resultsmentioning

confidence: 99%

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Varying Density with Constant Rectangularity: II. Effects on Apple Tree Yield, Fruit Size, and Fruit Color Development in Three Training Systems over Ten Years

Hampson¹,

Quamme²,

Kappel³

et al. 2004

HortSci

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The effect of increasing planting density at constant rectangularity on the fruit yield, fruit size, and fruit color of apple [Malus ×sylvestris (L) var. domestica (Borkh.) Mansf.] in three training systems (slender spindle, tall spindle, and Geneva Y trellis) was assessed for 10 years. Five tree densities (from 1125 to 3226 trees/ha) and two cultivars (Royal Gala and Summerland McIntosh) were tested in a fully guarded split-split plot design. Density was the most influential factor. As tree density increased, per-tree yield decreased, but yield per unit area increased. The relation between cumulative yield per ha and tree density was linear at the outset of the trial, but soon became curvilinear, as incremental yield diminished with increasing tree density. The chief advantage of high density planting was a large increase in early fruit yield. In later years, reductions in cumulative yield efficiency, and in fruit color for `Summerland McIntosh', began to appear at the highest density. Training system had no influence on productivity for the first 5 years. During the second half of the trial, fruit yield per tree was greater for the Y trellis than for either spindle form at lower densities but not at higher densities. The slender and tall spindles were similar in nearly all aspects of performance, including yield. `Summerland McIntosh' yielded almost 40% less than `Royal Gala' and seemed more sensitive to the adverse effects of high tree density on fruit color.

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Section: Resultsmentioning

confidence: 99%

“…], light interception should be optimized rather than maximized, because penetration of light into the canopy interior is important for high fruit quality. Fruit growing in the shade tends to be poorly colored, small, and low in soluble solids (Barritt et al, 1997).…”

Section: Methodsmentioning

confidence: 99%

Varying Density with Constant Rectangularity: II. Effects on Apple Tree Yield, Fruit Size, and Fruit Color Development in Three Training Systems over Ten Years

Hampson¹,

Quamme²,

Kappel³

et al. 2004

HortSci

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show abstract

“…In this respect more valuable are the mean dry matter of one primary leaf, the total weight of the leaves per spur and the specific dry matter of the primary leaves (mg.cm -2 ), which in turn depend on the intensity of insolation. In the zones of tree crowns well exposed to light the values of these characteristics are higher (8,9).…”

Section: Quality Of the Reproductive Organsmentioning

confidence: 99%

“…Cumulated yields of diverse apple cultivars depend to a great extend on these leaves (105). The 'vigorous' and 'weak' spurs can be determined by the number and area of primary leaves; however, these characteristics are not sufficient for predicting the fruit traits (8). In this respect more valuable are the mean dry matter of one primary leaf, the total weight of the leaves per spur and the specific dry matter of the primary leaves (mg.cm -2 ), which in turn depend on the intensity of insolation.…”

Section: Quality Of the Reproductive Organsmentioning

confidence: 99%

Flower Induction and Flower Bud Development in Apple and Sweet Cherry

Koutinas

Pepelyankov

Lichev

2010

Biotechnology & Biotechnological Equipment

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“…In the rainfed orchard, the relationships between vegetation indices and production variables were more variable throughout the growing season. The absence of irrigation during dry periods possibly increased the influence of environmental conditions on TSS and fruit firmness (i.e., water availability [36], amount of sunlight [37] and daily temperature [38]) and resulted in a variable correlation throughout the growing season (Figure 5c,b). The correlation between ReNDVI values and production variables was highly variable between both orchards (Figure 4e and Figure 5f).…”

Section: Production Versus Spectral Measurementsmentioning

confidence: 99%

Temporal Dependency of Yield and Quality Estimation through Spectral Vegetation Indices in Pear Orchards

et al. 2015

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Yield and quality estimations provide vital information to fruit growers, yet require accurate monitoring throughout the growing season. To this end, the temporal dependency of fruit yield and quality estimations through spectral vegetation indices was investigated in irrigated and rainfed pear orchards. Both orchards were monitored throughout three consecutive growing seasons, including spectral measurements (i.e., hyperspectral canopy reflectance measurements) as well as yield determination (i.e., total yield and number of fruits per tree) and quality assessment (i.e., fruit firmness, total soluble solids and fruit color). The results illustrated a clear association between spectral vegetation indices and both fruit yield and fruit quality (|r| > 0.75; p < 0.001). However, the correlations between vegetation indices and production variables varied throughout the growing season, depending on the phenological stage of fruit development. In the irrigated orchard, index values showed a strong association with production variables near time of OPEN ACCESSRemote Sens. 2015, 7 9887 harvest (|r| > 0.6; p < 0.001), while in the rainfed orchard, index values acquired during vegetative growth periods presented stronger correlations with fruit parameters (|r| > 0.6; p < 0.001). The improved planning of remote sensing missions during (rainfed orchards) and after (irrigated orchards) vegetative growth periods could enable growers to more accurately predict production outcomes and improve the production process.

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Influence of Sunlight Level and Rootstock on Apple Fruit Quality

Cited by 22 publications

References 0 publications

Varying Density with Constant Rectangularity: II. Effects on Apple Tree Yield, Fruit Size, and Fruit Color Development in Three Training Systems over Ten Years

Varying Density with Constant Rectangularity: II. Effects on Apple Tree Yield, Fruit Size, and Fruit Color Development in Three Training Systems over Ten Years

Flower Induction and Flower Bud Development in Apple and Sweet Cherry

Temporal Dependency of Yield and Quality Estimation through Spectral Vegetation Indices in Pear Orchards

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