scholarly journals Statistical Model Estimates Potential Yields in `Golden Delicious' and `Royal Gala' Apples before Bloom

2004 ◽  
Vol 129 (1) ◽  
pp. 20-25 ◽  
Author(s):  
Carlos Miranda Jiménez ◽  
J. Bernardo Royo Díaz
Keyword(s):  
Frost Damage ◽  
Fruit Weight ◽  
Cross Sectional Area ◽  
Sectional Area ◽  
Land Area ◽  
Flower Buds ◽  
Cross Sectional ◽  
Crop Density ◽  
Golden Delicious ◽  
Flower Density

Spring frosts are usual in many of Spain's fruit-growing areas, so it is common to insure crops against frost damage. After a frost, crop loss must be evaluated, by comparing what crop is left with the amount that would have been obtained under normal conditions. Potential crop must be evaluated quickly through the use of measurements obtainable at the beginning of the tree's growth cycle. During the years 1998 and 1999 and in 62 commercial plots of `Golden Delicious' and `Royal Gala' apple (Malus ×domestica Borkh.), the following measurements were obtained: trunk cross-sectional area (TCA, cm2), space allocated per tree (ST, m2) trunk cross-sectional area per hectare (TCA/ha), flower density (FD, number of flower buds/cm2 TCA), flower density per land area (FA, number of flower buds/m2 land area), cluster set (CS, number of fruit clusters/number of flower clusters, percent), crop density (CD, number of fruit/cm2 TCA), fruit clusters per trunk cross-sectional area (FCT, number of fruit clusters/cm2 TCA), fruit clusters per land area (FCA, number of fruit clusters/m2 land area), fruit number per cluster (FNC), average fruit weight (FW, g), average yield per fruit cluster (CY, g), yield efficiency (YE, fruit g·cm-2 TCA), and tree yield (Y, fruit kg/tree). FCT and average CY were related to the rest of the variables through the use of multiple regression models. The models which provided the best fit were FCT = FD - TCA/ha - FD and CY= -FCA - FCT. These models were significant, consistent, and appropriate for both years. Predicted yield per land area was obtained by multiplying TCA/ha × FCT × CY. The models' predictive ability was evaluated for 64 different plots in 2001 and 2002. Statistical analysis showed the models to be valid for the forecast of potential yields in apple, so that they represent a useful tool for early crop prediction and evaluation of losses due to late frosts.

scholarly journals Statistical Model Estimates Potential Yields in Pear Cultivars `Blanquilla' and `Conference' before Bloom

2003 ◽  
Vol 128 (4) ◽  
pp. 452-457 ◽  
Author(s):  
Carlos Miranda Jiménez ◽  
J. Bernardo Royo Díaz
Keyword(s):  
Frost Damage ◽  
Cross Sectional Area ◽  
Sectional Area ◽  
Land Area ◽  
Flower Buds ◽  
Potential Yield ◽  
Cross Sectional ◽  
Yield Efficiency ◽  
Crop Density ◽  
Flower Density

Spring frosts are usual in many of Spain's fruit-growing areas, so it is common to insure crops against frost damage. After a frost, crop loss must be evaluated, by comparing what crop is left with the amount that would have been obtained under normal conditions. Potential crop must be evaluated quickly through the use of measurements obtainable at the beginning of the tree's growth cycle. During 1996 and 1997 and in 95 commercial plots of `Blanquilla' and `Conference' pear (Pyrus communis L.), the following measurements were obtained: trunk cross-sectional area (TCA, cm2), space allocated per tree (ST, m2), trunk cross-sectional area per hectare (TCA/ha), flower density (FD, number of flower buds/cm2 TCA), flower density per land area (FA, number of flower buds/m2 land area), cluster set (CS, number of fruit clusters/number of flower clusters, %), crop density (CD, number of fruit/cm2 TCA), fruit clusters per trunk cross-sectional area (FCT, number of fruit clusters/cm2 TCA), fruit clusters per land area (FCA, number of fruit clusters/m2 land area), fruit number per cluster (FNC), average fruit weight (FW, g), average yield per fruit cluster (CY, g), yield efficiency (YE, fruit g·cm-2 TCA), and tree yield (Y, fruit kg/tree). CS and average CY were related to the rest of the variables through the use of multiple regression models. The models that provided the best fit were CS = TCA/ha - FA and CY = -FA - FCT. These models were significant, consistent, and appropriate for both years. Predicted yield per land area was obtained by multiplying FA × CS × CY. The models' predictive ability was evaluated for 46 different plots in 2001 and 2002. Statistical analysis showed the models to be valid for the forecast of orchards' potential yield efficiency, so that they represent a useful tool for early crop prediction and evaluation of losses due to late frosts.

scholarly journals A Statistical Model to Estimate Potential Yields in Peach before Bloom

2003 ◽  
Vol 128 (3) ◽  
pp. 297-301 ◽  
Author(s):  
Carlos Miranda Jiménez ◽  
J. Bernardo Royo Díaz
Keyword(s):  
Prunus Persica ◽  
Predictive Ability ◽  
Frost Damage ◽  
Fruit Weight ◽  
Cross Sectional Area ◽  
Sectional Area ◽  
Potential Yield ◽  
Cross Sectional ◽  
Yield Efficiency ◽  
Crop Density

Spring frosts are usual in many of Spain's fruit-growing areas, so it is common to insure crops against frost damage. After a frost, crop loss must be evaluated, by comparing what crop is left with the amount that would have been obtained under normal conditions. Potential crop must be evaluated quickly through the use of measurements obtainable at the beginning of the tree's growth cycle. During the years 1997 through 1999 and in 86 commercial plots of peach and nectarine [Prunus persica (L.) Batsch], the following measurements were obtained: trunk cross-sectional area (TCA, cm2), trunk cross sectional area per hectare (TCA/ha), estimated total shoot length per trunk cross-sectional area (SLT, shoot m/cm2 TCA), crop density (CD, amount of fruit/cm2 TCA), fruit weight (FW, g), yield efficiency (YE, kg of fruit/cm2 TCA), yield per tree (Y, kg fruit/tree) and days between full bloom and harvest (BHP, days). CD and average FW were related to the rest of the variables through the use of multiple regression models. The models which provided the best fit were CD = SLT - TCA/ha and FW = SLT + BHP - CD. These models were significant, consistent, and appropriate for all three years. The models' predictive ability was evaluated for 32 different plots in 2001 and 2002. Statistical analysis showed the models to be valid for the forecast of orchards' potential yield efficiency, so that they represent a useful tool for early crop prediction and evaluation of losses due to late frosts.

scholarly journals Thinning Tall Spindle Apple Based on Estimations Made With a Hand-thinning Gauge

2013 ◽  
Vol 23 (6) ◽  
pp. 830-835 ◽  
Author(s):  
Thomas M. Kon ◽  
James R. Schupp
Keyword(s):  
Branch Length ◽  
Fruit Weight ◽  
Cross Sectional Area ◽  
Sectional Area ◽  
Adjustment Factor ◽  
Cross Sectional ◽  
Crop Load ◽  
Crop Density ◽  
Whole Tree ◽  
June Drop

Trials were conducted in 2009 and 2010 to evaluate the use of a hand-thinning gauge [Equilifruit; Institut National de la Recherche Agronomique (INRA), Montpelier, France] on three cultivars of apple (Malus ×domestica) trees trained to tall spindle. Hand-thinning treatments were applied after June drop to trees with supra-optimal crop loads. Three hand-thinning treatments were applied using the hand-thinning gauge: 1) thinning to ≈6 fruit/cm2 branch cross-sectional area (BCSA) (F value), 2) subtracting the delta value [Δ (an adjustment factor to increase or decrease the number of fruit per BCSA] from the F value (F − Δ), and 3) F − 2Δ. These treatments were compared with a control and a traditional hand-thinning heuristic of spacing a solitary fruit every 7 to 8 inches of branch length. Use of the hand-thinning gauge generally improved fruit weight and maintained whole tree yields when compared with the control. Hand-thinning based upon traditional fruit-spacing heuristics reduced crop density and increased final fruit weight of apple, but significant reductions in yield were observed in two of four studies when compared with the control. We find the hand-thinning gauge a useful tool in adjusting final crop load of apple.

MUTANTS OF GOLDEN DELICIOUS APPLE INDUCED BY IONIZING RADIATION

1971 ◽  
Vol 51 (2) ◽  
pp. 123-131 ◽  
Author(s):  
K. O. LAPINS
Keyword(s):  
Skin Color ◽  
Cross Sectional Area ◽  
Soluble Solids ◽  
Sectional Area ◽  
Flesh Color ◽  
Stainable Pollen ◽  
Cross Sectional ◽  
Biennial Bearing ◽  
Golden Delicious ◽  
Number Of Seeds

The study of 300 selections of Golden Delicious apple from plant material irradiated with gamma rays from a 60Co source resulted in the final selection of two clones that represent an improvement of the original cultivar in reduced russetting in fruit stem cavity; greatly reduced tendency to biennial bearing; and slightly lowered fertility, an advantage in Golden Delicious which tends to overset. In a single-tree first trial, about 50% of the examined clones showed reduced pollen stainability; the majority of the semi-fertile mutants had 51 to 55% stainable pollen. The number of seeds per fruit was very closely related to pollen fertility. A close relationship was found among indicators of fruit maturity, that is, skin color, flesh color, soluble solids, and titratable acidity of fruit at harvest. More detailed measurements of 14 promising selections in a replicated second test revealed highly significant differences among clones in number of seeds per fruit, the incidence of russetting in the stem cavity, shape of fruit, skin color of fruit, flesh color of fruit, biennial bearing index, weight of fruit, and trunk cross-sectional area of the tree. Clonal differences were nonsignificant in yield ratings for a four-year period, and the yield for 1969 in kg per cm2 of trunk cross-sectional area.

scholarly journals 314 ROOTSTOCK EFFECTS ON SHOOT MORPHOLOGY OF `DELICIOUS' APPLE

HortScience ◽  
1994 ◽  
Vol 29 (5) ◽  
pp. 475d-475
Author(s):  
Peter M. Hirst ◽  
David C. Ferree
Keyword(s):  
Production Efficiency ◽  
Negative Relationship ◽  
Shoot Length ◽  
Cross Sectional Area ◽  
Sectional Area ◽  
Flower Number ◽  
Cross Sectional ◽  
Shoot Morphology ◽  
Strong Negative Relationship ◽  
Flower Density

One way in which rootstocks may influence production efficiency is by altering the number of spurs, and in particular reproductive spurs. However, rootstock influences on the morpholgy of shoots have not been quantified. Measurements were made on `Starkspur Supreme Delicious' trees growing on 17 rootstocks and planted in 1984 as part of the NC-140 regional rootstock trial. In each of the 6 years from 1988-1993, the length of the 2-year old section of wood of selected branches was measured and the number of spurs, flowers and shoots counted. For all rootstocks, trunk cross-sectional area was closely related to shoot length. Trees on P.22 (the most dwarfing rootstock in the planting) had shoot lengths 40-50% of those of trees on seedling rootstocks. For each rootstock, there was a strong negative relationship between shoot length and spur density, but there was not a common relationship among rootstocks. Similarly, flower number per shoot was also related to shoot length with different relationships for each rootstock. Flower density was not related to vigor for any of the rootstocks.

scholarly journals Cropping Efficiency of Young `Fuji' Apple Trees

HortScience ◽  
1995 ◽  
Vol 30 (4) ◽  
pp. 886A-886
Author(s):  
Preston K. Andrews ◽  
Margaret L. Collier
Keyword(s):  
Vegetative Growth ◽  
Fruit Size ◽  
Cross Sectional Area ◽  
Sectional Area ◽  
Apple Trees ◽  
Cross Sectional ◽  
Crop Load ◽  
Previous Season ◽  
Crop Density ◽  
Fuji Apple

Effects of crop load and time of thinning on productivity of young `Fuji'/M.9 apple trees were tested by hand blossom (B) or fruit (F) thinning to two crop densities (fruit number/trunk cross-sectional area). Heavy (H) crop densities resulted in higher yields in both 2nd and 3rd leaf than light (L) crop densities. Time of thinning had no effect on yields in either year. In the 2nd leaf, fruit size was largest from trees B thinned to L crop densities, and smallest from trees F thinned to either crop density from mid-June through harvest. Both 1° and 2° vegetative growth were greatest in noncropped trees, intermediate in trees with L crops, and least in trees with H crops. Noncropped 2nd-1eaf trees had the highest flowering indices (flower clusters/100 total buds) the following spring and H cropped trees had the lowest. The flowering index was higher when trees were B thinned in the 2nd leaf than when F thinned. In the 3rd leaf, fruit size was largest when borne on weak upright shoots, intermediate on spurs, and smallest on 1-year-old terminal wood. Fruit on spurs had the highest incidence of sunscald (17%) and fruit on weak upright shoots the lowest (8%). Previous-season crop densities affected current-season's vegetative and fruit growth.

scholarly journals Growth and productivity characteristics of Japanese plum cultivars

2017 ◽  
Vol 62 (2) ◽  
pp. 133-141
Author(s):  
Dragan Milatovic ◽  
Dejan Djurovic ◽  
Gordan Zec
Keyword(s):  
Fruit Set ◽  
Fruit Weight ◽  
Cross Sectional Area ◽  
High Yield ◽  
Tree Trunk ◽  
Sectional Area ◽  
Cross Sectional ◽  
Yield Efficiency ◽  
Japanese Plum

Growth and productivity characteristics including: initial and final fruit set, yield per tree, trunk cross-sectional area, yield efficiency and fruit weight were studied in ten cultivars of Japanese plums in the Belgrade area for the period of three years (2013-2015). Initial fruit set ranged from 5.6 to 44.4%, and the final fruit set from 2.6 to 23.36%. The high yield per tree (over 10 kg) was obtained in cultivars ?Obilnaja? and ?Morettini 355?, whereas the low yield (under 5 kg) was obtained in cultivars ?Strival?, ?Black Amber?, ?Early Angeleno? and ?Autumn Giant?. The lowest vigor was observed in the cultivar ?Golden Plum?, and the highest in the cultivar ?Strival?. The majority of cultivars had a very large fruit (over 50 g). The yield was strongly positively correlated with initial and final fruit set (r = 0.84**; r = 0.92**, respectively). Fruit weight was moderately negatively correlated with initial and final fruit set (r = -0.67*; r = -0.63*, respectively).

scholarly journals 509 Defoliation Affects Return Bloom, Fruit Set, and Fruit Quality of Three Apple Cultivars

HortScience ◽  
2000 ◽  
Vol 35 (3) ◽  
pp. 482D-482 ◽  
Author(s):  
David E. Davis ◽  
John A. Barden ◽  
Ross E. Byers
Keyword(s):  
Fruit Set ◽  
Fruit Weight ◽  
Soluble Solids ◽  
Cross Sectional ◽  
Yield Efficiency ◽  
Tree Defoliation ◽  
Crop Density ◽  
Golden Delicious ◽  
Apple Cultivars ◽  
Return Bloom

In 1997 and 1998, we determined the effects of defoliation on return bloom and fruit set following a light cropping year. In one study, `Braeburn' trees were hand-thinned to a crop density (CD) of 3 fruit/cm 2 trunk cross sectional area (TCSA) in late May 1997, and then either completely defoliated or half of the tree defoliated by hand on one of five dates between June and Sept. 1997. Compared to a nondefoliated control, both whole and half-tree defoliation on all dates reduced fruit count and yield efficiency (kilograms per square centimeter of TCSA) and affected fruit weight, starch, firmness, and soluble solids in 1997. In 1998, return bloom and fruit set were reduced by most 1997 defoliation treatments. Compared to other dates, defoliation on 3 July caused the greatest reduction in return bloom in both whole and half-defoliated trees. In another study, `Braeburn' trees were hand-thinned to a CD of 5 in late May 1998; complete defoliation by hand on 1, 15, or 29 July reduced return bloom and fruit set in 1999; the 1 July treatment resulted in zero return bloom. `Golden Delicious' and `York' trees were thinned to a CD of 3 in late May 1998 and were hand-defoliated on 21 July or 12 August by removing every other leaf or removing three of every four leaves over the entire tree. In 1999, return bloom and spur and lateral fruit set were reduced by all defoliation treatments. Fruit set was most reduced by the 12 Aug. treatment. Fruit set for `York' was lower than for `Golden Delicious' in all cases.

scholarly journals THE INFLUENCE OF ROOTSTOCKS ON THE GROWTH, LONGEVITY AND PRODUCTIVITY OF APPLES

HortScience ◽  
1990 ◽  
Vol 25 (6) ◽  
pp. 623H-623
Author(s):  
George M. Greene ◽  
Alvan G. Gaus
Keyword(s):  
Production Efficiency ◽  
Fruit Weight ◽  
Tree Size ◽  
Sectional Area ◽  
Main Experiment ◽  
Lower Efficiency ◽  
Cross Sectional ◽  
Yield Efficiency ◽  
Golden Delicious ◽  
P 16

The influence of rootstocks on the growth and productivity of `Starkspur Supreme Pagnelli Delicious' was determined in an NC-140 experiment started in 1984. The planting was supplemental to the main experiment and it contained Ottawa (Ott) 3, M.20, and Arnold Lynd (AL) 800, but did not contain Budagovsky (Bud) 490, Bud 9, Antonovka 313, or C6. Trees that apparently would not stand were given support. Data on tree size and yield were collected every year. As expected, many characteristics were strongly influenced by rootstock. Yield efficiency calculated as the total fruit weight per square cm of trunk cross-sectional area was used as a measure of production efficiency. In 1989, efficient producers of fruit (all in decreasing order) were Poland (P) 2, EMLA.26, P 16, and Michigan Apple Clone (MAC) 39. Intermediate in productivity were M.20, Cornell-Geneva (CG) 10, Pl, and AL 800. A lower efficiency group of rootstocks were EMLA.7, Ott 3, MAC 1, Seedling, M.4, P 18, and CG 24. `Golden Delicious' and `McIntosh' on EMLA.26, used as pollinizers, were ranked second and third in yield efficiency.

scholarly journals Tree Form and Heading Height at Planting Affect Peach Tree Yield and Crop Value

HortScience ◽  
1995 ◽  
Vol 30 (6) ◽  
pp. 1196-1201 ◽  
Author(s):  
Richard P. Marini ◽  
Donald S. Sowers ◽  
Michele Choma Marini
Keyword(s):  
Prunus Persica ◽  
Peach Tree ◽  
Sectional Area ◽  
Land Area ◽  
Lower Yield ◽  
Cross Sectional ◽  
Tree Form ◽  
Yield Efficiency ◽  
Crop Density ◽  
Canopy Volume

`Sweet Sue' peach (Prunus persica L. Batsch) trees were subjected to a factorial arrangement of treatments. At planting, trees were headed at 10 or 70 cm above the bud union and trees were trained to an open-vase or central-leader form. For the first 4 years, high-headed trees were larger than low-headed trees. After 7 years, open-vase trees had larger trunk cross-sectional area, tree spread, and canopy volume than central-leader trees. Open-vase trees had higher yield and crop value per tree, but lower yield and crop value per unit of land area or unit of canopy volume than central-leader trees. Crop density and yield efficiency were similar for all treatments.

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