• Title/Summary/Keyword: 착과량

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Effects of Some Meteorological Factors on Number of Cone Formation in Pinus koraiensis (잣나무착과량(着果量)에 미치는 몇 개 기상인자(氣象因子)의 영향(影響))

  • Chon, Sang-Keun;Kim, Il-Hyun
    • Journal of Korean Society of Forest Science
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    • v.57 no.1
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    • pp.45-51
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    • 1982
  • The environmental influence on cone crop of Pinus koraiensis has been studied by means of correlation and regression analysis of number of 1-year-old cone and meteorological data. A positive effect on cone crop is brought about by low air temperature during the year of flower bud differentiation and much sunshine duration for the year and the winter before flower bud differentiation. The weather of June before flower bud differentiation is very important for cone production.

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Effect of Various Fruit-loads on Yield, Fruit Quality and Growth of 'Seolhyang' Strawberry (착과 정도가 '설향' 딸기의 수량, 과실 품질 및 생육에 미치는 영향)

  • Lee, Sang Woo;Hwang, Gap Choon;Yun, Jae Gill;Hong, Jeum Kyu;Park, Soo Jeong
    • Journal of Bio-Environment Control
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    • v.23 no.3
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    • pp.205-211
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    • 2014
  • This study aimed to examine the effect of different fruit-loads on fruit yield, quality, and plant growth of 'Seolhyang' strawberry. Fruit loads were adjusted from the first to the fourth flower cluster so that the number of fruits became 20, 25, and 30, and non-flower thinning of some was made. The more the number of fruits per plant was, the greater the total yield obtained, but marketable yield decreased and non-marketable yield increased. Compared to the treatment whose fruit load was adjusted, the control with non-flower thinning had more fruit yield in the first and second flower clusters but tended to have less fruit yield in the third and fourth flower clusters. The lower the fruit load was, the more soluble solids content of fruits increased. The lower the fruit load of a flower cluster was, the faster its harvest time reached. Harvest of fruit load of 20 was faster by 10 days in the second and fourth flower clusters relative to the control. On November 24, 2012, flowering thinning of the first flower cluster was made. On March 7, 2013, fruit dry weight of the second flower cluster was most heavy in the control. Dry weight of roots decreased in the control and the fruit load of 30 compared to November 24. On April 9, fruit dry weight of the third flower cluster did not have significant difference according to fruit load, however the more the fruit load was, the smaller dry weight of leaf, root, and crown became, which were vegetative organs. On May 12, the more the fruit load, the smaller leaf area and dry weight of vegetative organs and differences from varying fruit-loads became considerable in later period of growth. Appropriate fruit load of 'Seolhyang' strawberry were from 20 to 25. Maintaining balance between vegetative and fruit growth by adjusting fruit load is very important for stable fruit production.

Suitable Yields Reflecting Consumer Preferences in 'Hongisul' Grapes ('홍이슬' 포도의 상품성 기준과 적정 착과량)

  • Park, YoSup;Lee, ByulHaNa;Jung, Myung Hee;Kim, HeeSeob;Park, Hee-Seung
    • Horticultural Science & Technology
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    • v.32 no.3
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    • pp.303-309
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    • 2014
  • The purpose of this study is to suggest indicators and proper standards to forecast the sensory quality of 'Hongisul' grape. Further, this study determines the optimum fruit load of 'Hongisul' grape reflecting consumer preference. Among several quality attributes, identified through instrumental and sensory evaluation, soluble solid-acid ratio was the most useful indicator of consumer preference for 'Hongisul' grapes. The ideal soluble solid-acid ratio for marketable grapes was found to be higher than 86.3. Analysis on the effects of fruit load control on fruit quality revealed a negative correlation where the latter increased as the former decreased. This trend is common for all grape species. The field with a fruit load of $1,400kg{\cdot}10a^{-1}$ exhibited a soluble solid-acid ratio of less than 86.3, uneven coloring and slow softening texture at the mature stage. However, fruit quality proved excellent in the field with a fruit load of $1,200kg{\cdot}10a^{-1}$ or less. It is therefore proposed that fruit load should be controlled to $1,200kg{\cdot}10a^{-1}$ or less when growing 'Hongisul' grapes to produce high quality grapes. We believe that this result can be used as a standard in judging harvest time and evaluating fruit quality.

Effects of Crop Loads on Vine Growth and Fruit Quality of 'Jinok' Grape in Unheated Plastic House (포도 '진옥' 품종의 무가온 하우스 재배시 착과량이 수체생육 및 과실품질에 미치는 영향)

  • Cheon, Mi Geon;Kim, Yeong Bong;Kim, Seong Ran;Lee, Kang Mo;Hong, Gwang Pyo;Kim, Jin Gook
    • Journal of Bio-Environment Control
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    • v.24 no.4
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    • pp.296-300
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    • 2015
  • This study was conducted to investigate optimal crop loads of 'Jinok' grape for unheated plastic house culture. The crop loads of 'Jinok' grapes were managed to be 1.3, 1.8, 2.2, 2.4, and 2.6t per 10a from 2012 to 2014. We measured vine growth and berry qualities. Crop loads were not significantly affected on plant height, trunk diameter, shoot length, and the internode length of 'Jinok'. However, the maturation of berries was delayed when the crop load was higher. And the harvest date was earlier about three weeks in an unheated plastic house compared to in an open field. The average berry weight was decreased by the higher crop load although higher crop loads made higher yields showing the lowest weight at 342g with the treatment of 2.6t per 10a and the highest weight at 363g with the treatment of 1.3t per 10a. Also, the soluble solids content showed a tendency that higher crop loads brought to lower degree Brix. The contents of P, K, Ca, and Mg in grape leaves and shoots were not significantly different by crop loads. To sum up, when crop loads were under the 2.4t per 10a, the berries were harvested as a marketable fruit having $15^{\circ}Brix$ in the cultivar 'Jinok' grape. This result could help to increase grower's benefit having improved quality of fruit for the sustainable production by the established cultivation techniques for the newly developed cultivar 'Jinok'.

Stem Girding Increases Seed Production and Nitrogenous Compounds in Larix leptolepis (환상박피 처리에 의한 일본잎갈나무의 착과유도 효과와 질소 화합물 함량의 증가)

  • Lee, Wi Young;Park, Eung-Jun
    • Journal of Korean Society of Forest Science
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    • v.102 no.1
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    • pp.129-135
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    • 2013
  • Japanese larch (Larix leptolepis) has been extensively planted in Korea as a reforestation species but their supply has been a major bottleneck due to sporadic natural seed production. In this study, stem girdling was applied to 32-year-old grafted Japanese larches, resulting in significantly enhanced seed production compared to the controls. Stem girdling induced about 4 times higher cone production than that of controls in the Japanese larch seed orchard. Time-dependent metabolic alterations after girdling were investigated by stable isotope ratio mass spectrometer, HPLC, and GC-MS analysis. In girdled trees, the contents of total nitrogen, sucrose, and total free amino acids were significantly higher than the non-girdled trees at the flowering differentiation season (from July to August). Moreover, the numbers of female strobilus per tree were positively correlated with the contents of both total nitrogen (r=0.765, p<0.01) and total amino acids (r=0.802, p<0.01) in the bark being collected at the flowering differentiation time (August 20). Interestingly, the levels of various individual amino acids at the flowering differentiation times, such as aspartic acid, glutamic acid, glycine, serine, and cysteine, were also significantly correlated (p<0.05) with the numbers of strobilus, suggesting that those amino acids might be involved in the induction of female strobilus formation of Japanese larches.

Fruit Quality and Harvest Time of 'Heukboseok' Grape by Fruit Load (착과량에 따른 '흑보석' 포도의 과실 품질 및 수확기)

  • Jung, MyungHee;Kwon, YongHee;Lee, ByulHaNa;Park, YoSup;Park, Hee-Seung
    • Horticultural Science & Technology
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    • v.32 no.3
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    • pp.289-295
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    • 2014
  • This research was conducted to investigate a difference in quality according to control of fruit load and cluster weight when seeded 'Heukboseok' grape was grown in a conventional cultivation system. Clusters per vine were set to harvest 1,500 kg, 1,800 kg, and 2,200 kg grapes per $990m^2$. In p lots t reated t o produce 1,800 kg grapes, clusters were set to 3 grades produce grapes with 350 g, 500 g, and 700 g in cluster weight. Based on color chart (National Institute of Horticultural & Herbal Science, Rural Development Admnistration) which show maturation stage for 'Kyoho' grape, grapes with higher than grade 9 were harvested at 80 and 90 days after full bloom, and the r est of them were harvested a t 100 days after full bloom. The final yield of 'Heukboseok' grape was the lowest in target yield of 1,800 kg with 700 g clusters with 75.5% of target yield, but 92.1%-100.1% of target yield were harvested in other treatments. Among treatments with several fruit setting, 83.3% of grapes harvested in treatment to produce 1,500 kg grapes as a target yield at 90 days after full bloom. Among the treatments with different cluster weights, 93.5% grapes were harvested in the treatment with 350 g in cluster weight. 'Heukboseok' grape showed rapid maturation pattern with no significant difference in either soluble solids content or acidity between 90 days from 80 days after full bloom. Therefore, to prevent flesh softening, it is appropriate to harvest fruit at 90 days after full blooms, and both yield and cluster weight were important factors influencing the quality of the fruits in 'Heukboseok' grape. It is confirmed that coloring and firmness was influenced by the final yield and weight per cluster, respectively. Therefore, the yield should be set as grape of 1,500 kg per $990m^2$ in target yield, and cluster weight should be adjusted to 350 g to produce grape of 1,800 kg with the fruits of high quality. It is considered to be hard to produce grape of high quality with 700 g in cluster weight in 'Heukboseok' grape.

Proper Tree Vigor and Crop Load in High Density Planting System for 'Fuji'/M.9 Apple Trees (사과 '후지'/M.9 밀식 사과원의 성과기 적정 결실 및 수세 기준)

  • Park, Moo-Yong;Park, Jeong-Kwan;Yang, Sang-Jin;Han, Hyun-Hee;Kang, In-Kyu;Byun, Jae-Kyun
    • Journal of Bio-Environment Control
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    • v.17 no.4
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    • pp.306-311
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    • 2008
  • Proper tree vigor and crop load were determined for 'Fuji'/M.9 apple trees in high density planting system from 2001 to 2003. Leaf/fruit ratio was highly correlated to mean fruit weight (y=1.715x+205.02, $R^2=0.66^{**}$) and yield (y=-35.l56x+5963.7, $R^2=0.44^{**}$). In addition, there was a significant correlation between the number of leaves per tree and mean fruit weight. However, crop load did not affect tree growth, soluble solids content of fruit, and Hunter a value. To harvest the fruits heavier than 300 g without biennial bearing, it was appropriate to crop 55 to 64 fruits in a tree with 55 leaves per fruit of adult tree. The good indices for proper tree vigor could be 20 to 25 cm of mean shoot length and above 95% of shoot termination rate. Moreover, no secondary growth and 20 to 30% of spur formation could be the indices for highly productive tree vigor.

Estimation of fruit number of apple tree based on YOLOv5 and regression model (YOLOv5 및 다항 회귀 모델을 활용한 사과나무의 착과량 예측 방법)

  • Hee-Jin Gwak;Yunju Jeong;Ik-Jo Chun;Cheol-Hee Lee
    • Journal of IKEEE
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    • v.28 no.2
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    • pp.150-157
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    • 2024
  • In this paper, we propose a novel algorithm for predicting the number of apples on an apple tree using a deep learning-based object detection model and a polynomial regression model. Measuring the number of apples on an apple tree can be used to predict apple yield and to assess losses for determining agricultural disaster insurance payouts. To measure apple fruit load, we photographed the front and back sides of apple trees. We manually labeled the apples in the captured images to construct a dataset, which was then used to train a one-stage object detection CNN model. However, when apples on an apple tree are obscured by leaves, branches, or other parts of the tree, they may not be captured in images. Consequently, it becomes difficult for image recognition-based deep learning models to detect or infer the presence of these apples. To address this issue, we propose a two-stage inference process. In the first stage, we utilize an image-based deep learning model to count the number of apples in photos taken from both sides of the apple tree. In the second stage, we conduct a polynomial regression analysis, using the total apple count from the deep learning model as the independent variable, and the actual number of apples manually counted during an on-site visit to the orchard as the dependent variable. The performance evaluation of the two-stage inference system proposed in this paper showed an average accuracy of 90.98% in counting the number of apples on each apple tree. Therefore, the proposed method can significantly reduce the time and cost associated with manually counting apples. Furthermore, this approach has the potential to be widely adopted as a new foundational technology for fruit load estimation in related fields using deep learning.