Production of Hybrids between Physiological Races of the True Slime Mould Didymium iridis

Nature ◽  
1962 ◽  
Vol 193 (4815) ◽  
pp. 598-599 ◽  
Author(s):  
CONSTANTINE J. ALEXOPOULOS ◽  
GEORGE G. ZABKA
Keyword(s):  
Slime Mould ◽  
Physiological Races ◽  
Didymium Iridis

STUDIES OF MULTIPLE ALLELISM IN THE MYXOMYCETE DIDYMIUM IRIDIS

1964 ◽  
Vol 42 (11) ◽  
pp. 1459-1466 ◽  
Author(s):  
K. L. Mukherjee ◽  
George G. Zabka
Keyword(s):  
Mating Behavior ◽  
Zygote Formation ◽  
Artificial Culture ◽  
Multiple Alleles ◽  
Multiple Allelism ◽  
Physiological Races ◽  
Locus System ◽  
Didymium Iridis

Heterothallism in three physiological races of Didymium iridis collected from Honduras (Mexico), Hawaii, and Australia are reported. Pure clone matings of these races are found to be governed by multiple alleles of incompatibility factors, heterozygosity of which leads to zygote formation. Two of these races behave identically in their mating reactions although their plasmodia are non-fusable. Existence of a two-locus system with linkage of parental alleles is suggested to explain the mating behavior of the pure clones handled and the absence of tetrapolarity. Because of aging and artificial culture, intraracial sterility develops in the pure clones. These clones retain their interracial fertility. Sporadic Plasmodia occasionally form in some of the pure clones probably because of a localized mutation. Zygote formation with the mutated cell apparently leaves the remaining clone population uncontaminated.

scholarly journals MOSMA: Multi-Objective Slime Mould Algorithm Based on Elitist Non-Dominated Sorting

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 3229-3248
Author(s):  
Manoharan Premkumar ◽  
Pradeep Jangir ◽  
Ravichandran Sowmya ◽  
Hassan Haes Alhelou ◽  
Ali Asghar Heidari ◽  
...  
Keyword(s):  
Slime Mould ◽  
Multi Objective

scholarly journals Assessment of physiological races of Exserohilum turcicum isolates from maize in Argentina and Brazil

2021 ◽  
Author(s):  
Barbara Ludwig Navarro ◽  
Lucia Ramos Romero ◽  
María Belén Kistner ◽  
Juliana Iglesias ◽  
Andreas von Tiedemann
Keyword(s):  
Exserohilum Turcicum ◽  
Breeding Programs ◽  
Physiological Races ◽  
Maize Leaves ◽  
Race 1 ◽  
Resistance Reaction ◽  
Qualitative Resistance ◽  
Maize Plants ◽  
Corn Leaf Blight ◽  
Resistant Genotypes

AbstractNorthern corn leaf blight (NCLB) is one of the most important diseases in maize worldwide. It is caused by the fungus Exserohilum turcicum, which exhibits a high genetic variability for virulence, and hence physiological races have been reported. Disease control is based mainly on fungicide application and host resistance. Qualitative resistance has been widely used to control NCLB through the deployment of Ht genes. Known pathogen races are designated according to their virulence to the corresponding Ht gene. Knowledge about of E. turcicum race distribution in maize-producing areas is essential to develop and exploit resistant genotypes. Maize leaves showing distinct elliptical grey-green lesions were collected from maize-producing areas of Argentina and Brazil, and 184 monosporic E. turcicum isolates were obtained. A total of 66 isolates were collected from Argentina during 2015, 2018 and 2019, while 118 isolates from Brazil were collected during 2017, 2018 and 2019. All isolates were screened on maize differential lines containing Ht1, Ht2, Ht3 and Htn1 resistance genes. In greenhouse experiments, inoculated maize plants were evaluated at 14 days after inoculation. Resistance reaction was characterized by chlorosis, and susceptibility was defined by necrosis in the absence of chlorosis. The most frequent race was 0 in both Argentina (83%) and Brazil (65%). Frequencies of race 1 (6% and 24%) and race 23N (5% and 10%) were very low in Argentina and Brazil, respectively. The high frequency of race 0 isolates provides evidence that qualitative resistance based on the tested Ht genes is not being used extensively in Argentina and Brazil to control NCLB. This information may be relevant for growers and breeding programs as the incidence of NCLB is increasing in both countries.

An enhanced binary slime mould algorithm for solving the 0–1 knapsack problem

2021 ◽  
Author(s):  
Benyamin Abdollahzadeh ◽  
Saeid Barshandeh ◽  
Hatef Javadi ◽  
Nicola Epicoco
Keyword(s):  
Knapsack Problem ◽  
Slime Mould

Optimal tuning of interval type-2 fuzzy controllers for nonlinear servo systems using Slime Mould Algorithm

2021 ◽  
pp. 1-16
Author(s):  
Radu-Emil Precup ◽  
Radu-Codrut David ◽  
Raul-Cristian Roman ◽  
Alexandra-Iulia Szedlak-Stinean ◽  
Emil M. Petriu
Keyword(s):  
Servo Systems ◽  
Fuzzy Controllers ◽  
Slime Mould ◽  
Optimal Tuning ◽  
Interval Type
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