Effect of Chemical and Hand Thinning on Maturity, Yield and Fruit Quality of Peaches (Prunus Persica (L.) Batsch.)

Chanana, Y.R.; Kaundal, G.S.; Kanwar, J. S.; Arora, Neelima; Saini, Raj

doi:10.17660/actahortic.2002.592.43

Cited by 5 publications

(4 citation statements)

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“…Decyl alcohol, ATS, and lime sulfur treatments significantly increased fruit size, not only when compared with untreated control trees, but also when contrasted against handthinned controls in 2003 (data not shown). Similar results have been reported elsewhere (Byers, 1989;Byers and Lyons, 1985;Byers et al, 1990;Chanana et al, 2002;Southwick et al, 1996). ATS treatments at a rate of 15 mlÁL -1 increased fruit size at the endocarp hardening stage in 2003.…”

Section: Resultssupporting

confidence: 90%

Blossom Thinners Reduce Crop Load and Increase Fruit Size and Quality of Peaches

Coneva¹,

Cline²

2006

HortSci

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The purpose of this research was to determine the effectiveness of three blossom-thinning compounds on crop density and fruit quality of two peach cultivars. Treatments consisted of 15 ml·L–1 and 30 ml·L–1 ammonium thiosulphate, 30 ml·L–1 and 40 ml·L–1 decyl alcohol, and 40 ml·L–1 lime sulfur. Treatments were applied to `Redhaven' and `Harrow Diamond' peach trees at two phenological stages: 80%, and 100% full bloom in 2002 and 2003. In both years, treatments reduced the crop density in both cultivars, and in 2003 the amount of hand thinning required to adjust the crop load was significantly reduced. Fruit size from several blossom-thinned treatments was comparable with that observed from hand-thinned trees. However, treatments caused significant leaf phytotoxicity to `Harrow Diamond' trees in 2003, likely a result of hand spray gun applications. These data indicate that chemical sprays at bloom can be used successfully to reduce fruit set, but are very environmentally, dose, and cultivar dependent.

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Section: Resultssupporting

confidence: 90%

Blossom Thinners Reduce Crop Load and Increase Fruit Size and Quality of Peaches

Coneva¹,

Cline²

2006

HortSci

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“…revealed that with increase in LFR, Average fruit weight, pulp weight and pulp: rind ratio shows increasing trend. The tree having maximum LFR had the maximum fruit and pulp weight, these results are also in conformity with Shivangi Arvind et al (2018) [12] in Guava, Chanana et al (1998) [3] in Peach and Deshmukh et al…”

Section: Physicochemical Parameters Physical Parameterssupporting

confidence: 88%

Studies on leaf to fruit ratio on growth, yield and quality of custard apple

Rathod¹,

Bharad²,

Deshmukh³

et al. 2020

Int. J. Chem. Stud.

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“…The thinning of peach trees has a significant impact on the yield, quality, and health of peach fruits; thus, choosing a suitable thinning method is an important part of peach flower management. Existing studies have shown that proper thinning can improve the yield and quality of fruits [4][5][6][7], directly affecting their market value. The traditional thinning method relies on manual operation, which is time-consuming and labor-intensive.…”

Section: Introductionmentioning

confidence: 99%

Improved YOLOv5 Network for Detection of Peach Blossom Quantity

Sun,

Yao,

Cao

et al. 2024

Agriculture

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In agricultural production, rapid and accurate detection of peach blossom bloom plays a crucial role in yield prediction, and is the foundation for automatic thinning. The currently available manual operation-based detection and counting methods are extremely time-consuming and labor-intensive, and are prone to human error. In response to the above issues, this paper proposes a natural environment peach blossom detection model based on the YOLOv5 model. First, a cascaded network is used to add an output layer specifically for small target detection on the basis of the original three output layers. Second, a combined context extraction module (CAM) and feature refinement module (FSM) are added. Finally, the network clusters and statistically analyzes the range of multi-scale channel elements using the K-means++ algorithm, obtaining candidate box sizes that are suitable for the dataset. A novel bounding box regression loss function (SIoU) is used to fuse the directional information between the real box and the predicted box to improve detection accuracy. The experimental results show that, compared with the original YOLOv5s model, our model has correspondingly improved AP values for identifying three different peach blossom shapes, namely, bud, flower, and falling flower, by 7.8%, 10.1%, and 3.4%, respectively, while the final mAP value for peach blossom recognition increases by 7.1%. Good results are achieved in the detection of peach blossom flowering volume. The proposed model provides an effective method for obtaining more intuitive and accurate data sources during the process of peach yield prediction, and lays a theoretical foundation for the development of thinning robots.

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Effect of Chemical and Hand Thinning on Maturity, Yield and Fruit Quality of Peaches (Prunus Persica (L.) Batsch.)

Cited by 5 publications

References 0 publications

Blossom Thinners Reduce Crop Load and Increase Fruit Size and Quality of Peaches

Blossom Thinners Reduce Crop Load and Increase Fruit Size and Quality of Peaches

Studies on leaf to fruit ratio on growth, yield and quality of custard apple

Improved YOLOv5 Network for Detection of Peach Blossom Quantity

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