Orah is a hybrid of ＂Temple＂ tangor and ＂Dancy＂ tangerine, and due to its excellent performance in cultivation in Wuming of Guangxi Province for three years, it has been popularized in Guangxi, Chongqing, Sichuan ...Orah is a hybrid of ＂Temple＂ tangor and ＂Dancy＂ tangerine, and due to its excellent performance in cultivation in Wuming of Guangxi Province for three years, it has been popularized in Guangxi, Chongqing, Sichuan and Yunnan rapidly, with a planting area over 130 000 hm^2. However, there also have been some problems existing in practical production, such as leaf yellowing and canker. The causes for leaf yellowing mainly include the physiologic type and the diseases and pests type. This paper analyzed the causes and put forwards corresponding countermeasures.展开更多
In order to promote the development of Orah mandarin industry in Guangxi and reduce the harm of citrus huanglongbing to Orah mandarin,the pathogen,characteristics,occurrence regularity and field symptoms of citrus hua...In order to promote the development of Orah mandarin industry in Guangxi and reduce the harm of citrus huanglongbing to Orah mandarin,the pathogen,characteristics,occurrence regularity and field symptoms of citrus huanglongbing were summarized,and scientific prevention and control measures were put forward,such as strict implementation of quarantine system,cultivation and use of disease-free seedlings,strengthening field management,timely control of psyllid,timely removal of diseased trees,etc.展开更多
Objectives:This study aims to isolate biocontrol microorganisms that inhibit Penicillium crustosum and explore their effects on microbial control and microbial diversity changes in P.crustosum causing postharvest deca...Objectives:This study aims to isolate biocontrol microorganisms that inhibit Penicillium crustosum and explore their effects on microbial control and microbial diversity changes in P.crustosum causing postharvest decay in Orah.Materials and Methods:The biocontrol effect was verified by confrontation experiments.The microbial diversity was analyzed using highthroughput sequencing technology.Metabolomic analysis was performed using liquid chromatography-tandem mass spectrometry(LC-MS/MS).Results:A strain of Meyerozyma guilliermondii PJ15 that strongly inhibited P.crustosum was isolated from the grape surface,which could effectively inhibit the mycelial growth and green spore production of P.crustosum.PJ15 could reduce the sourness and nutrient loss of Orah caused by P.crustosum.Compared with the control,PJ15 treatment increased the pH by 11.32%,the soluble protein content by 163.64%,the ascorbic acid content by 160.84%,and the total soluble sugar content by 203.53%.Microbial diversity analysis showed that PJ15 has a relatively small effect on the bacterial composition and diversity on the surface of Orah but has a significant impact on the fungal composition and diversity.It can increase the fungal diversity of Orah invaded by P.crustosum,increase the density of fungal interaction networks,and form a stronger coexisting survival interaction network.The vaccination of PJ15 downregulated the differential metabolite 5,6-epoxytetraene,which showed a positive correlation with P.crustosum and a negative correlation with PJ15.Conclusions:Meyerozyma guilliermondii PJ15 has a strong inhibitory effect on the growth of P.crustosum and has a significant impact on the fungal composition and diversity on the surface of Orah.It has potential for biocontrol of P.crustosum causing postharvest decay in Orah.展开更多
The replacement of personal computer terminal with edge device is recognized as a portable and cost-effective potential solution in solving equipment miniaturization and achieving high flexibility of robotic fruit har...The replacement of personal computer terminal with edge device is recognized as a portable and cost-effective potential solution in solving equipment miniaturization and achieving high flexibility of robotic fruit harvesting at in-field scale.This study proposes a lightweight improved You Only Look Once version 8n(YOLOv8n)model for detecting Orah fruits and deploying this model on an edge device.First of all,the model size was reduced while maintaining detection accuracy via the introduction of the ADown modules.Subsequently,a Concentrated-Comprehensive Dual Convolution(C3_DualConv)module combining dual convolutional bottlenecks was proposed to enhance the model capability to capture features of Orah fruits obscured by branches and leaves;this practice further reduced the model size.Additionally,a Bidirectional Feature Pyramid Network(BiFPN)that includes a pyramid level 2 high-resolution layer was employed for more efficient multi-scale feature fusion.Besides,three Coordinate Attention(CA)mechanism modules were also added to improve the recognition and capture capability for Orah fruit features.Finally,a more focused minimum points distance intersection over union loss was adopted to boost the detection efficiency of densely occluded Orah fruits.Experimentally demonstrating that the improved YOLOv8n model accurately detected Orah fruits in complex orchard environments,achieving a 97.7%of precision,an Average Precision at IoU threshold 0.5(AP@0.5)of 98.8%,and a 96.69%of F1 score,while maintaining a compact model size of 4.1 MB,under a Windows-based system terminal.This proposed model was optimally deployed on an Nvidia Jetson Orin Nano using TensorRT Python Application Programming Interface(API),the average interface speed exceeds 30 fps,indicating a real-time detection ability.This study can provide technical support for Orah fruit robotic harvesting on the basis of edge device.展开更多
基金Supported by the National Citrus Industry System(CARS-27)Key Project of science and Technology from the Agriculture Department of Guangxi Province(201504,201307)+4 种基金Scientific and Technological Development Project of Nanning City(NC20152302,20142062)Scientific and Technological Project of Wuming County(201501217)Fund of Guangxi Academy of Agricultural Sciences(NCZ2015010,GNK2015JM20,GNK2014YZ36,GNK2015YT51,GNK2016YM47)Central Financial Project of Agriculture Technology Extension in 2015Project for the Construction of Good Fruit Variety Breeding Center in Guangxi~~
文摘Orah is a hybrid of ＂Temple＂ tangor and ＂Dancy＂ tangerine, and due to its excellent performance in cultivation in Wuming of Guangxi Province for three years, it has been popularized in Guangxi, Chongqing, Sichuan and Yunnan rapidly, with a planting area over 130 000 hm^2. However, there also have been some problems existing in practical production, such as leaf yellowing and canker. The causes for leaf yellowing mainly include the physiologic type and the diseases and pests type. This paper analyzed the causes and put forwards corresponding countermeasures.
基金Supported by Science and Technology Major Project of Guangxi Zhuang Autonomous Region(GK AA20108003-4,GK AA20108003-2,GKAA22036002)Science and Technology Major Project of Nanning City(20212141)+4 种基金Collaborative Innovation Project of Chinese Academy of Agricultural Sciences-Guangxi Academy of Agricultural Sciences(CAAS-GXAAS-XTCX2019026-2)Guangxi Special Crops Experimental Station(G TS202201)Jiangnan District Science and Technology Project of Nanning City(2020020102)GNK(2021YT051,2022JM32)Guangxi Citrus Huanglongbing Prevention and Control Engineering Technology Research Center。
文摘In order to promote the development of Orah mandarin industry in Guangxi and reduce the harm of citrus huanglongbing to Orah mandarin,the pathogen,characteristics,occurrence regularity and field symptoms of citrus huanglongbing were summarized,and scientific prevention and control measures were put forward,such as strict implementation of quarantine system,cultivation and use of disease-free seedlings,strengthening field management,timely control of psyllid,timely removal of diseased trees,etc.
基金funded by the Guangxi Key Research and Development Program(No.2021AB26001)The Central Government Guides Local Science and Technology Development Funds(No.2020ZYZX3027).
文摘Objectives:This study aims to isolate biocontrol microorganisms that inhibit Penicillium crustosum and explore their effects on microbial control and microbial diversity changes in P.crustosum causing postharvest decay in Orah.Materials and Methods:The biocontrol effect was verified by confrontation experiments.The microbial diversity was analyzed using highthroughput sequencing technology.Metabolomic analysis was performed using liquid chromatography-tandem mass spectrometry(LC-MS/MS).Results:A strain of Meyerozyma guilliermondii PJ15 that strongly inhibited P.crustosum was isolated from the grape surface,which could effectively inhibit the mycelial growth and green spore production of P.crustosum.PJ15 could reduce the sourness and nutrient loss of Orah caused by P.crustosum.Compared with the control,PJ15 treatment increased the pH by 11.32%,the soluble protein content by 163.64%,the ascorbic acid content by 160.84%,and the total soluble sugar content by 203.53%.Microbial diversity analysis showed that PJ15 has a relatively small effect on the bacterial composition and diversity on the surface of Orah but has a significant impact on the fungal composition and diversity.It can increase the fungal diversity of Orah invaded by P.crustosum,increase the density of fungal interaction networks,and form a stronger coexisting survival interaction network.The vaccination of PJ15 downregulated the differential metabolite 5,6-epoxytetraene,which showed a positive correlation with P.crustosum and a negative correlation with PJ15.Conclusions:Meyerozyma guilliermondii PJ15 has a strong inhibitory effect on the growth of P.crustosum and has a significant impact on the fungal composition and diversity on the surface of Orah.It has potential for biocontrol of P.crustosum causing postharvest decay in Orah.
基金supported by the National Natural Science Foundation of China[grant No.62163005,32401709]the Youth Science Foundation of Guangxi Province[grant No.2025GXNSFBA069270]+1 种基金the Natural Science Foundation of Guangxi Province[grant No.2022GXNSFAA035633]the Open Fund of the National Key Laboratory of Agricultural Equipment Technology(South China Agricultural University)[grant No.SKLAET-202407].
文摘The replacement of personal computer terminal with edge device is recognized as a portable and cost-effective potential solution in solving equipment miniaturization and achieving high flexibility of robotic fruit harvesting at in-field scale.This study proposes a lightweight improved You Only Look Once version 8n(YOLOv8n)model for detecting Orah fruits and deploying this model on an edge device.First of all,the model size was reduced while maintaining detection accuracy via the introduction of the ADown modules.Subsequently,a Concentrated-Comprehensive Dual Convolution(C3_DualConv)module combining dual convolutional bottlenecks was proposed to enhance the model capability to capture features of Orah fruits obscured by branches and leaves;this practice further reduced the model size.Additionally,a Bidirectional Feature Pyramid Network(BiFPN)that includes a pyramid level 2 high-resolution layer was employed for more efficient multi-scale feature fusion.Besides,three Coordinate Attention(CA)mechanism modules were also added to improve the recognition and capture capability for Orah fruit features.Finally,a more focused minimum points distance intersection over union loss was adopted to boost the detection efficiency of densely occluded Orah fruits.Experimentally demonstrating that the improved YOLOv8n model accurately detected Orah fruits in complex orchard environments,achieving a 97.7%of precision,an Average Precision at IoU threshold 0.5(AP@0.5)of 98.8%,and a 96.69%of F1 score,while maintaining a compact model size of 4.1 MB,under a Windows-based system terminal.This proposed model was optimally deployed on an Nvidia Jetson Orin Nano using TensorRT Python Application Programming Interface(API),the average interface speed exceeds 30 fps,indicating a real-time detection ability.This study can provide technical support for Orah fruit robotic harvesting on the basis of edge device.
