scholarly journals Effects of water potential on spore germination and viability of Fusarium species

2008 ◽  
Vol 35 (11) ◽  
pp. 1411-1418 ◽  
Author(s):  
D. Palmero Llamas ◽  
M. de Cara Gonzalez ◽  
C. Iglesias Gonzalez ◽  
G. Ruíz Lopez ◽  
J. C. Tello Marquina
Author(s):  
Amadi E. ◽  
Deleke E. ◽  
Olahan G. ◽  
Garuba T. ◽  
Adebola M.O.

Frequently, stored melon seeds fail to preserve to their time of use. Storage fungi invade these seeds and cause their deterioration. A study was, therefore, carried out to determine the effect of guava (Psidiumguajava L.) leaf and ginger (Zingiberofficinale) rhizome extracts on the sporulation and spore germination of the invading seed fungi.Dried leaves and rhizomes were ground in sterile mortar, filtered through a wire sieve and then extracted usingthree different solvents. Results revealed that both extracts hindered sporulation and spore germination in the four fungi tested namely: Aspergillusflavus, A. niger, Rhizopusstolonifer and Fusarium species. The effect of the extracts on the test organisms increased with concentration of the extracts. Phytochemical screening confirmed the presence of alkaloids, saponins, lipids,tannins, flavonoids, and steroids. A reduction in nutrient contents was also observed in infested melon seeds. These results are significant and would serve as a template for planning the control of storage fungi in melon seeds in particular and other crop produce in general.


2015 ◽  
Vol 105 (2) ◽  
pp. 59-72 ◽  
Author(s):  
Karolina Riaño Ospina ◽  
Oscar Briones ◽  
Blanca Pérez-García

2014 ◽  
Vol 1 (1) ◽  
pp. 20-24
Author(s):  
Gader Ghaffari ◽  
Farhad Baghbani ◽  
Behnam Tahmasebpour

In order to group winter rapeseed cultivars according to evaluated traits, an experiment was conducted in the Research Greenhouse of Agriculture Faculty, University of Tabriz - IRAN. In the experiment were included 12 cultivars of winter rapeseed and 3 levels of water deficit stress. Gypsum blocks were used to monitor soil moisture. Water deficit stress was imposed from stem elongation to physiological maturity. According to the principal component analysis, five principal components were chosen with greater eigenvalue (more than 0.7) that are including 81.34% of the primeval variance of variables. The first component that explained the 48.02% of total variance had the high eigenvalue. The second component could justify about 13.64% of total variance and had positive association with leaf water potential and proline content and had negative relationship with leaf stomatal conductivity. The third, fourth and fifth components expressed around, 10.18, 4.83 and 4.68% of the total variance respectively. The third component had the high eigenvalue for plant dry weight. The fourth component put 1000-seed weight, seed yield, Silique per Plant and root dry weight against plant dry weight, chlorophyll fluorescence and leaf water potential. The fifth component had the high eigenvalue for root dry weight, root volume and 1000-seed weight.


2020 ◽  
Vol 0 (0) ◽  
Author(s):  
B. Naseri ◽  
M. Gheitury ◽  
M. Veisi

SummaryUnderstanding pathogen-agrosystem interaction is particularly essential when applying a control method to minimize pathogen prevalence prior to plant infection. To meet this requirement, frequency of major root rot pathogens isolated from bean root and seed, and their soil populations were examined in farmers’ fields. Multivariate analyses evidenced more frequent isolations of Fusarium solani and Rhizoctonia solani from root and seed compared to Macrophomina phaseolina and Fusarium oxysporum. Two Fusarium species had denser soil populations than R. solani and M. phaseolina. More frequent isolations of pathogens were detected in root and seed collected from Abhar and Khodabandeh compared to Kheirabad region. Agronomic and soil variables corresponded less closely to root infections compared to soil infestation and seed infections. Bean market class, herbicide application, and planting depth were linked to root, seed and soil infestations. Such information provides a basis for increased confidence in choosing appropriate control strategies for a pathogen and region in sustainable agriculture.


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