Assessment of drought tolerance in barley genotypes H Pakniyat J Appl Sci 2, 151-156, 2010 | 128 | 2010 |
Influence of temperature on infection, growth, and mycotoxin production by Fusarium langsethiae and F. sporotrichioides in durum wheat L Nazari, E Pattori, V Terzi, C Morcia, V Rossi Food Microbiology 39, 19-26, 2014 | 90 | 2014 |
Effect of temperature on growth, wheat head infection, and nivalenol production by Fusarium poae L Nazari, E Pattori, V Manstretta, V Terzi, C Morcia, S Somma, A Moretti, ... Food microbiology 76, 83-90, 2018 | 43 | 2018 |
SCoT marker diversity among Iranian Plantago ecotypes and their possible association with agronomic traits Mehdi Rahimi, Leyla Nazari, Mojtaba Kordrostami, Parviz Safari Scientia Horticulturae 233, 302-309, 2018 | 30 | 2018 |
Genetic Diversity of Wild and Cultivated Barley Genotypes Under Drought Stress Using RAPD H Pakniyat Biotechnology 7 (4), 745-750, 2008 | 30 | 2008 |
A non-linear model for temperature-dependent sporulation and T-2 and HT-2 production of Fusarium langsethiae and Fusarium sporotrichioides L Nazari, V Manstretta, V Rossi Fungal biology 120 (4), 562-571, 2016 | 25 | 2016 |
Correlations between the textural features and chemical properties of sorghum grain using the image processing method L Nazari, M Shaker, A Karimi, E Ropelewska European Food Research and Technology 247 (2), 333-342, 2021 | 12 | 2021 |
Infection incidence, kernel colonisation, and mycotoxin accumulation in durum wheat inoculated with Fusarium sporotrichioides, F. langsethiae or F. poae at different growth stages L Nazari, E Pattori, S Somma, V Manstretta, C Waalwijk, A Moretti, G Meca, ... European Journal of Plant Pathology 153, 715–729, 2019 | 12 | 2019 |
On the role of natural compounds in mycotoxigenic fungi control C Morcia, M Mehani, N Salhi, L Nazari, A Khelil, A Bara, G Ghizzoni, ... The battle against microbial pathogens: Basic science, technological …, 2015 | 5 | 2015 |
Integrated transcriptomic meta-analysis and comparative artificial intelligence models in maize under biotic stress L Nazari, MF Aslan, K Sabanci, E Ropelewska Scientific Reports 13 (1), 15899, 2023 | 4 | 2023 |
GGE biplot vs. AMMI analysis of promising sorghum lines in the warm-temperate regions of Iran A Khazaei, F Golzardi, M Torabi, MT Feyzbakhsh, A Azarinasrabad, ... Journal of Crop Improvement 37 (4), 506-522, 2023 | 4 | 2023 |
Evaluation of Genotype × Environment Interaction for Forage Yield of Promising Forage Sorghum Lines (Sorghum Bicolor ( L.) Moench) using AMMI Model A Khazaei, F Golzardi, M Shahverdi, L Nazari, A Ghasemi, SA Tabatabaei, ... Journal of Crop Breeding 14 (42), 177-185, 2022 | 4 | 2022 |
Introduction of the best criterion for evaluation of tolerance to drought stress in sorghum’s genotypes L Nazari, E Dehghanian, A Estakhr, A khazaei, B Sorkhilalehloo, ... Acta agriculturae Slovenica 117 (4), 1-13, 2021 | 4 | 2021 |
The effect of drought stress of sorghum grains on the textural features evaluated using machine learning E Ropelewska, L Nazari European Food Research and Technology 247, 2787–2798, 2021 | 4 | 2021 |
Identification of sorghum genotypes using a machine vision system L Nazari, M Shaker, A Karimi, E Ropelewska Journal of food process engineering 44 (5), e13673, 2021 | 4 | 2021 |
In silico identification of transcription factors associated with the biosynthesis of carotenoids in corn (Zea mays L.) RR ZAHRA ZINATI, LEYLA NAZARI, PAOLO BAGNARESI BioTechnologia 98 (1), 41-51, 2017 | 4* | 2017 |
Gene expression classification for biomarker identification in maize subjected to various biotic stresses L Nazari, Z Zinati IEEE/ACM Transactions on Computational Biology and Bioinformatics 20 (3 …, 2023 | 3 | 2023 |
Prediction of tannin, protein, and total phenolic content of grain sorghum using image analysis and machine learning L Nazari, A Khazaei, E Ropelewska Cereal Chemistry, 2022 | 3 | 2022 |
Micronutrient content and geometrical features of grain sorghum subjected to water stress L Nazari, E Ropelewska, M Ata Zadeh Chemistry Proceedings 10 (1), 25, 2022 | 3 | 2022 |
A Novel Machine-Learning Approach to Predict Stress-Responsive Genes in Arabidopsis L Nazari, V Ghotbi, M Nadimi, J Paliwal Algorithms 16 (9), 407, 2023 | 2 | 2023 |