RESUMO
Given emerging food supply challenges for the world population, Genetic Modified Organisms (GMOs) are referred to as a solution to the upcoming food security crisis. Besides technological advancement, other significant components such as public Awareness play an important role in national and international scientific regulations. Towards this, this study evaluated Tehranian consumers' Awareness (a sample including 946 respondents) about GMOs' risks and benefits, trust in governmental regulation, and the ways to obtain information about GMOs. Specific questionnaires were designed and distributed among participants in four districts in Tehran, and the collected data were used to conduct descriptive and inferential statistics by applying the ANOVA test. The Findings showed that 39 % with a p-value <0.01 of the public is unaware of GMOs in Tehran despite 20 years of commercialization, consumption, and controversial debate about GMOs in media and social networks. Therefore, the goals of public Awareness of science concerning biotechnology have not been met yet. Based on these findings, it can be concluded that public Awareness is not a crucial component in biotechnology advancement, and the other factors, including policymakers' desire, may have more weight.
RESUMO
The complex trait of yield is controlled by several quantitative trait loci (QTLs). Given the global water deficit issue, the development of rice varieties suitable for non-flooded cultivation holds significant importance in breeding programs. The powerful approach of Meta-QTL (MQTL) analysis can be used for the genetic dissection of complicated quantitative traits. In the current study, a comprehensive MQTL analysis was conducted to identify consistent QTL regions associated with drought tolerance and yield-related traits under water deficit conditions in rice. In total, 1087 QTLs from 134 rice populations, published between 2000 to 2021, were utilized in the analysis. Distinct MQTL analysis of the relevant traits resulted in the identification of 213 stable MQTLs. The confidence interval (CI) for the detected MQTLs was between 0.12 and 19.7 cM. The average CI of the identified MQTLs (4.68 cM) was 2.74 times narrower compared to the average CI of the initial QTLs. Interestingly, 63 MQTLs coincided with SNP peak positions detected by genome-wide association studies for yield and drought tolerance-associated traits under water deficit conditions in rice. Considering the genes located both in the QTL-overview peaks and the SNP peak positions, 19 novel candidate genes were introduced, which are associated with drought response index, plant height, panicle number, biomass, and grain yield. Moreover, an inclusive MQTL analysis was performed on all the traits to obtain "Breeding MQTLs". This analysis resulted in the identification of 96 MQTLs with a CI ranging from 0.01 to 9.0 cM. The mean CI of the obtained MQTLs (2.33 cM) was 4.66 times less than the mean CI of the original QTLs. Thirteen MQTLs fulfilling the criteria of having more than 10 initial QTLs, CI < 1 cM, and an average phenotypic variance explained greater than 10%, were designated as "Breeding MQTLs". These findings hold promise for assisting breeders in enhancing rice yield under drought stress conditions.
