Froelichia (Amaranthaceae) — a new generic record and invasive weed for Africa

Kew Bulletin ◽  
2014 ◽  
Vol 69 (4) ◽  
Author(s):  
Felix F. Merklinger ◽  
Abdoul Aziz Camara ◽  
Assane Goudiaby ◽  
Abba Sonko ◽  
Martin Cheek ◽  
...  
Keyword(s):  
Invasive Weed ◽  
Generic Record

Tipularia Josephi rchb.f. Ex Lindl. (Orchidaceae):A New Generic Record for Nagaland, India

Pleione ◽  
2017 ◽  
Vol 11 (2) ◽  
pp. 529
Author(s):  
Kikruneino Sachü ◽  
Neizo Puro
Keyword(s):  
Generic Record

scholarly journals Different Sequevars of Ralstonia pseudosolanacearum Causing Bacterial Wilt of Bidens pilosa in China

Plant Disease ◽  
2020 ◽  
Vol 104 (11) ◽  
pp. 2768-2773
Author(s):  
Yonglin He ◽  
Yixue Mo ◽  
Dehong Zheng ◽  
Qiqin Li ◽  
Wei Lin ◽  
...  
Keyword(s):  
Arachis Hypogaea ◽  
Bacterial Wilt ◽  
Geographical Origin ◽  
Bidens Pilosa ◽  
Invasive Weed ◽  
High Virulence ◽  
Race 1 ◽  
Ralstonia Pseudosolanacearum ◽  
Phylotype I

Bidens pilosa is an invasive weed that threatens the growth of crops and biodiversity in China. In 2017, suspected bacterial wilt of B. pilosa was discovered in Qinzhou and Beihai, Guangxi, China. A variety of weeds are considered as reservoirs harboring bacterial wilt pathogens, but most do not show obvious symptoms in the field. Identifying the classification status of the B. pilosa bacterial wilt pathogen and exploring its geographical origin might be helpful for clarifying the role of weeds in the circulation of the disease. Phylotyping, sequevar analysis, and cross inoculation of pathogens isolated from B. pilosa and nearby peanut (Arachis hypogaea), balsam gourd (Momordica charantia), and eucalyptus (Eucalyptus robusta) plants were carried out. Three isolates of B. pilosa (Bp01, Bp02, and Bp03) were identified as Ralstonia pseudosolanacearum, race 1, biovar 3, and phylotype I, and belonged to sequevars 17 and 44, and an unknown sequevar. The sequevars isolated from B. pilosa were not completely consistent with those of the nearby hosts, and the virulence of these isolates differed when cross inoculated. The Bp03 sequevar was different from peanut isolate sequevars in the same field and was not identical to any previously designated sequevars. The isolates from B. pilosa and other nearby hosts displayed low or no virulence toward their cross hosts (with wilt incidences less than 33.33%). An exception to this was the isolates from B. pilosa, which displayed high virulence toward eucalyptus (with a wilt incidence of 70.00 to 100.00%). This is the first report of different sequevars of R. pseudosolanacearum causing typical bacterial wilt symptoms in B. pilosa in the field.

scholarly journals Effect of Herbicides on the Management of the Invasive Weed Solanum rostratum Dunal (Solanaceae)

Plants ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 284
Author(s):  
Jackline Abu-Nassar ◽  
Maor Matzrafi
Keyword(s):  
Growth Stage ◽  
Late Summer ◽  
Early Spring ◽  
Growth Stages ◽  
Weed Species ◽  
Invasive Weed ◽  
Solanum Rostratum ◽  
Stage 4 ◽  
Chemical Solutions ◽  
Late Growth

Solanum rostratum Dunal is an invasive weed species that invaded Israel in the 1950s. The weed appears in several germination flashes, from early spring until late summer. Recently, an increase in its distribution range was observed, alongside the identification of new populations in the northern part of Israel. This study aimed to investigate the efficacy of herbicide application for the control of S. rostratum using two field populations originated from the Golan Heights and the Jezreel Valley. While minor differences in herbicide efficacy were recorded between populations, plant growth stage had a significant effect on herbicide response. Carfentrazone-ethyl was found to be highly effective in controlling plants at both early and late growth stages. Metribuzin, oxadiazon, oxyfluorfen and tembutrione showed reduced efficacy when applied at later growth stage (8–9 cm height), as compared to the application at an early growth stage (4–5 cm height). Tank mixes of oxadiazon and oxyfluorfen with different concentrations of surfactant improved later growth stage plant control. Taken together, our study highlights several herbicides that can improve weed control and may be used as chemical solutions alongside diversified crop rotation options. Thus, they may aid in preventing the spread and further buildup of S. rostratum field populations.

scholarly journals Synthesizing Multi-Layer Perceptron Network with Ant Lion Biogeography-Based Dragonfly Algorithm Evolutionary Strategy Invasive Weed and League Champion Optimization Hybrid Algorithms in Predicting Heating Load in Residential Buildings

2021 ◽  
Vol 13 (6) ◽  
pp. 3198
Author(s):  
Hossein Moayedi ◽  
Amir Mosavi
Keyword(s):  
Residential Buildings ◽  
Optimization Technique ◽  
Hybrid Algorithms ◽  
Evolutionary Strategy ◽  
Multi Layer Perceptron ◽  
Invasive Weed ◽  
Dragonfly Algorithm ◽  
Ant Lion Optimization ◽  
Heating Load ◽  
Ant Lion

The significance of accurate heating load (HL) approximation is the primary motivation of this research to distinguish the most efficient predictive model among several neural-metaheuristic models. The proposed models are formulated through synthesizing a multi-layer perceptron network (MLP) with ant lion optimization (ALO), biogeography-based optimization (BBO), the dragonfly algorithm (DA), evolutionary strategy (ES), invasive weed optimization (IWO), and league champion optimization (LCA) hybrid algorithms. Each ensemble is optimized in terms of the operating population. Accordingly, the ALO-MLP, BBO-MLP, DA-MLP, ES-MLP, IWO-MLP, and LCA-MLP presented their best performance for population sizes of 350, 400, 200, 500, 50, and 300, respectively. The comparison was carried out by implementing a ranking system. Based on the obtained overall scores (OSs), the BBO (OS = 36) featured as the most capable optimization technique, followed by ALO (OS = 27) and ES (OS = 20). Due to the efficient performance of these algorithms, the corresponding MLPs can be promising substitutes for traditional methods used for HL analysis.

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