Plantation quality assessment of Camellia oleifera in mid-subtropical China

Jia, Tao; Chen, Jiafa; Zhou, Jianhong; Ai, Wensheng; Chen, Longsheng

doi:10.1016/j.still.2018.10.023

Cited by 18 publications

(16 citation statements)

References 41 publications

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“…The tea-oil camellia (Camellia oleifera Abel.) is an important woody edible-oil species cultivated in East Asia [22,23]. Tea-seed oil extracted from the seeds of this plant is well known as a healthy cooking oil owing to its high contents of unsaturated fatty acids, antioxidants, and vitamins [24].…”

Section: Introductionmentioning

confidence: 99%

“…The cultivation areas were more than 4.5 million ha in 2020. C. oleifera is often planted in the hilly areas and low mountains of South China [22]. Owing to heavy rain leaching and adsorption of aluminum phosphate, the soil found in extensive areas of South China is characterized by P deficiency, which severely limits the growth and productivity of tea-oil cultivation [25,26].…”

Section: Introductionmentioning

confidence: 99%

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Effects of Scion Variety on the Phosphorus Efficiency of Grafted Camellia oleifera Seedlings

Zeng

Liu

Lian

et al. 2022

Forests

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Grafting provides a way to improve tolerance to low phosphorus (P) stress for plants, and has been extensively applied in commercial cultivars grafted onto appropriate rootstocks. However, little literature is available concerning the scion-mediated effect on P efficiency in grafted plants. In this study, three different Camellia oleifera Abel. scion cultivars (G8, G83-1, and W2) were grafted onto the same rootstock (W2) under controls (0.5 mM) and low-P (0 mM) availability for eight months. The results showed that the scions significantly affected root-to-shoot weight ratios, the root morphology with a diameter larger than 1 mm, P accumulation, and the P utilization efficiency (PUE) of the root. A higher increase in the root-to-shoot weight ratio under the low-P supply was observed in the G83-1/W2 (26.15%) than in the G8/W2 (0%) and the W2/W2 (5.32%). Root PUE of the scion G8, G83-1, and W2 was improved by up to 113.73%, 45.46%, and 20.97% under the low-P supply. Moreover, G8/W2 exhibited higher shoot P accumulation and the highest root PUE under the low-P supply, indicating a high capability to tolerate P deficiency by maximizing the cost-effectiveness of P remobilization to photosynthetic organs. This suggested the vigorous variety of G8 could be a promising scion to improve grafted C. oleifera tolerance to low-P stress. Our results would have important implications for exploration and identification of a superior scion variety to enhance the ability of resistance concerning P deficiency stress in C. oleifera.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Effects of Scion Variety on the Phosphorus Efficiency of Grafted Camellia oleifera Seedlings

Zeng

Liu

Lian

et al. 2022

Forests

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“…In addition, oil tea plays a pivotal role in air purification and soil and water conservation. The yield of oil tea is the main basis for measuring the assets and quality of oil tea forests, which is crucial to the development of the oil tea industry [9,10]. The quantity of oil tea fruits is an important indicator for oil tea products, and can directly measure the yield level.…”

Section: Introductionmentioning

confidence: 99%

Identification of the Yield of Camellia oleifera Based on Color Space by the Optimized Mean Shift Clustering Algorithm Using Terrestrial Laser Scanning

et al. 2022

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Oil tea (Camellia oleifera) is one of the world’s major woody edible oil plants and is vital in providing food and raw materials and ensuring water conservation. The yield of oil tea can directly reflect the growth condition of oil tea forests, and rapid and accurate yield measurement is directly beneficial to efficient oil tea forest management. Light detection and ranging (LiDAR), which can penetrate the canopy to acquire the geometric attributes of targets, has become an effective and popular method of yield identification for agricultural products. However, the common geometric attribute information obtained by LiDAR systems is always limited in terms of the accuracy of yield identification. In this study, to improve yield identification efficiency and accuracy, the red-green-blue (RGB) and luminance-bandwidth-chrominance (i.e., YUV color spaces) were used to identify the point clouds of oil tea fruits. An optimized mean shift clustering algorithm was constructed for oil tea fruit point cloud extraction and product identification. The point cloud data of oil tea trees were obtained using terrestrial laser scanning (TLS), and field measurements were conducted in Changsha County, central China. In addition, the common mean shift, density-based spatial clustering of applications with noise (DBSCAN), and maximum–minimum distance clustering were established for comparison and validation. The results showed that the optimized mean shift clustering algorithm achieved the best identification in both the RGB and YUV color spaces, with detection ratios that were 9.02%, 54.53%, and 3.91% and 7.05%, 62.35%, and 10.78% higher than those of the common mean shift clustering, DBSCAN clustering, and maximum-minimum distance clustering algorithms, respectively. In addition, the improved mean shift clustering algorithm achieved a higher recognition rate in the YUV color space, with an average detection rate of 81.73%, which was 2.4% higher than the average detection rate in the RGB color space. Therefore, this method can perform efficient yield identification of oil tea and provide a new reference for agricultural product management.

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“…In the red soil hilly region in southern China, C. oleifera helps to enhance and maintain soil fertility and the ecological quality of planted tree species (Tu et al 2019). However, considering the long growth cycle and low or even no gains early in growing of economic forests, identi cation of a novel scienti c forestry production approach is of utmost importance.…”

Section: Introductionmentioning

confidence: 99%

Plant–Soil Feedback In Camellia Oleifera And Mixed Gardenia Jasminoides Ellis–Camellia Oleifera Stands Determined By Soil Bacterial Community Analysis

Wang¹,

Xie²,

She³

et al. 2021

Preprint

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Purpose: Little is known regarding the combined impact of plant and soil traits on the soil bacterial community. Herein, we assessed physical and chemical properties along with bacterial community structure in soils sampled at different depths (0–20 cm, 20–40 cm, and 40–60 cm) and slope positions (peak, hillside, and bottom), in Camellia oleifera monoculture and mixed Gardenia jasminoides–Camellia oleifera stands. Methods: Soil physicochemical characteristics were determined using standard methods. The composition of soil bacterial communities was evaluated using high-throughput sequencing of the 16S rRNA gene. Results: Soil organic carbon, humus, and total organic contents were higher in G. jasminoides + C. oleifera low-yielding forest than in other stands, however, the NH4+-N levels were significantly lower than that in monoculture. The slope position did not greatly influence soil physical and chemical properties. The dominant bacteria were Proteobacteria, Chloroflexi, Acidobacteria, and Actinobacteria. The alpha and beta diversity and abundance of soil bacterial community were higher in intercropping systems than in monoculture systems. Potassium and nitrogen levels and pH significantly affected the soil microbial community composition. Correlation analysis revealed that alkaline hydrolysable nitrogen and pH were significantly correlated with the input of plant-associated organic matter and dynamic changes of keystone taxa.Conclusion: G. jasminoides improved the physicochemical characteristics of C. oleifera low-yielding soil and greatly affected the soil bacterial community, further improving the soil microecological environment. Therefore, this specific intercropping system is an effective strategy for improving soil health.

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Plantation quality assessment of Camellia oleifera in mid-subtropical China

Cited by 18 publications

References 41 publications

Effects of Scion Variety on the Phosphorus Efficiency of Grafted Camellia oleifera Seedlings

Effects of Scion Variety on the Phosphorus Efficiency of Grafted Camellia oleifera Seedlings

Identification of the Yield of Camellia oleifera Based on Color Space by the Optimized Mean Shift Clustering Algorithm Using Terrestrial Laser Scanning

Plant–Soil Feedback In Camellia Oleifera And Mixed Gardenia Jasminoides Ellis–Camellia Oleifera Stands Determined By Soil Bacterial Community Analysis

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