Response of Transplanted Oilseed Rape to Zinc Placement and Root Pruning

2004 ◽  
Vol 27 (3) ◽  
pp. 427-439 ◽  
Author(s):  
R. W. Bell ◽  
Z. G. Lu ◽  
J. Li ◽  
D. J. Hu ◽  
Z. C. Xie
Keyword(s):  
Oilseed Rape ◽  
Root Pruning ◽  
Zinc Placement

Absorption, Distribution, and Translocation of Nitrogen at Growth Stages in Oilseed Rape Plant

2010 ◽  
Vol 36 (2) ◽  
pp. 321-326
Author(s):  
Zhen-Hua ZHANG ◽  
Hai-Xing SONG ◽  
Qiang LIU ◽  
Xiang-Min RONG ◽  
Gui-Xian XIE ◽  
...  
Keyword(s):  
Oilseed Rape ◽  
Growth Stages ◽  
Rape Plant

Effect of Root Pruning on Root Efficiency, Water Use and Yield of Winter Wheat*

2010 ◽  
Vol 2009 (5) ◽  
pp. 606-609
Author(s):  
Shouchen MA ◽  
Bingcheng XU ◽  
Fengmin LI ◽  
Zhanbin HUANG
Keyword(s):  
Winter Wheat ◽  
Water Use ◽  
Root Pruning ◽  
Root Efficiency

Response difference to nitrogen in roots of different varieties of oilseed rape

2012 ◽  
Vol 37 (6) ◽  
pp. 592-597
Author(s):  
Xiao-juan WANG ◽  
Hai-xing SONG ◽  
Li-ru CHEN ◽  
Qiang LIU ◽  
Xiang-min RONG ◽  
...  
Keyword(s):  
Oilseed Rape

Inheritance of Apetalous Flowers in a Mutant of Oilseed Rape

Crop Science ◽  
2003 ◽  
Vol 43 (2) ◽  
pp. 508 ◽  
Author(s):  
Lixi Jiang ◽  
Heiko C. Becker
Keyword(s):  
Oilseed Rape

scholarly journals Genome Mining and Evaluation of the Biocontrol Potential of Pseudomonas fluorescens BRZ63, a New Endophyte of Oilseed Rape (Brassica napus L.) against Fungal Pathogens

2020 ◽  
Vol 21 (22) ◽  
pp. 8740
Author(s):  
Daria Chlebek ◽  
Artur Pinski ◽  
Joanna Żur ◽  
Justyna Michalska ◽  
Katarzyna Hupert-Kocurek
Keyword(s):  
Brassica Napus ◽  
Plant Growth ◽  
Pseudomonas Fluorescens ◽  
Oilseed Rape ◽  
Plant Growth Promotion ◽  
Fungal Pathogens ◽  
Growth Promotion ◽  
Genome Mining ◽  
Plant Colonization ◽  
Brassica Napus L

Endophytic bacteria hold tremendous potential for use as biocontrol agents. Our study aimed to investigate the biocontrol activity of Pseudomonas fluorescens BRZ63, a new endophyte of oilseed rape (Brassica napus L.) against Rhizoctonia solani W70, Colletotrichum dematium K, Sclerotinia sclerotiorum K2291, and Fusarium avenaceum. In addition, features crucial for biocontrol, plant growth promotion, and colonization were assessed and linked with the genome sequences. The in vitro tests showed that BRZ63 significantly inhibited the mycelium growth of all tested pathogens and stimulated germination and growth of oilseed rape seedlings treated with fungal pathogens. The BRZ63 strain can benefit plants by producing biosurfactants, siderophores, indole-3-acetic acid (IAA), 1-aminocyclopropane-1-carboxylate (ACC) deaminase, and ammonia as well as phosphate solubilization. The abilities of exopolysaccharide production, autoaggregation, and biofilm formation additionally underline its potential to plant colonization and hence biocontrol. The effective colonization properties of the BRZ63 strain were confirmed by microscopy observations of EGFP-expressing cells colonizing the root surface and epidermal cells of Arabidopsis thaliana Col-0. Genome mining identified many genes related to the biocontrol process, such as transporters, siderophores, and other secondary metabolites. All analyses revealed that the BRZ63 strain is an excellent endophytic candidate for biocontrol of various plant pathogens and plant growth promotion.

scholarly journals Application of Deep Learning in Integrated Pest Management: A Real-Time System for Detection and Diagnosis of Oilseed Rape Pests

2019 ◽  
Vol 2019 ◽  
pp. 1-14 ◽  
Author(s):  
Yong He ◽  
Hong Zeng ◽  
Yangyang Fan ◽  
Shuaisheng Ji ◽  
Jianjian Wu
Keyword(s):  
Deep Learning ◽  
Integrated Pest Management ◽  
Pest Management ◽  
Real Time ◽  
Oilseed Rape ◽  
Data Augmentation ◽  
Low Cost ◽  
Response Speed ◽  
Original Model ◽  
Real Time System

In this paper, we proposed an approach to detect oilseed rape pests based on deep learning, which improves the mean average precision (mAP) to 77.14%; the result increased by 9.7% with the original model. We adopt this model to mobile platform to let every farmer able to use this program, which will diagnose pests in real time and provide suggestions on pest controlling. We designed an oilseed rape pest imaging database with 12 typical oilseed rape pests and compared the performance of five models, SSD w/Inception is chosen as the optimal model. Moreover, for the purpose of the high mAP, we have used data augmentation (DA) and added a dropout layer. The experiments are performed on the Android application we developed, and the result shows that our approach surpasses the original model obviously and is helpful for integrated pest management. This application has improved environmental adaptability, response speed, and accuracy by contrast with the past works and has the advantage of low cost and simple operation, which are suitable for the pest monitoring mission of drones and Internet of Things (IoT).

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