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Ally R. Harari

Researcher at Agricultural Research Organization, Volcani Center

Publications -  67
Citations -  1541

Ally R. Harari is an academic researcher from Agricultural Research Organization, Volcani Center. The author has contributed to research in topics: Population & Mating. The author has an hindex of 22, co-authored 61 publications receiving 1352 citations. Previous affiliations of Ally R. Harari include United States Department of Agriculture & University of California, Davis.

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Inconsistent effects of local and landscape factors on two key pests in Israeli vineyards

TL;DR: It is found that the number of sprayings during the season was an important variable explaining variation in infestation levels between vineyards for both species, and larger variations in the relationship between the studied variables and the two pests are found.
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Dispersal, endosymbiont abundance and fitness-related consequences of inbreeding and outbreeding in a social beetle

TL;DR: The results support the hypothesis that inbred females reduce dispersal and that early maturation and dispersal are likely to be benefits of increased cooperation in brood care.
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Males perceive honest information from female released sex pheromone in a moth

TL;DR: It is suggested that the pheromone blend may serve as a multicomponent signal whereby each component adds information concerning the current condition of the female, and all are necessary to elicit a mate searching response.
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Female palm-seed borer beetles adjust their sex ratio according to relatedness of female neighbours

TL;DR: It is predicted that when multiple foundresses can assess their relatedness, relatedness among foundresses will decrease the sex ratio and this result may be explained by a high expectation of the related females that their sons will encounter only related males.
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Open-source computational simulation of moth-inspired navigation algorithm: a benchmark framework

TL;DR: A benchmark-ready simulation framework that simulates the behavior of moth-like navigators, using an open source, freely accessible simulation framework, that could be useful for the biology-oriented, as well as engineering-oriented studies, assisting in deducing the evolutionary efficient strategies and improving self-propelled autonomous systems in complex environments.