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leyla nazari
leyla nazari
Fars agriculture and natural resources research center
在 areeo.ac.ir 的电子邮件经过验证
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引用次数
引用次数
年份
Assessment of drought tolerance in barley genotypes
H Pakniyat
J Appl Sci 2, 151-156, 2010
1282010
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
902014
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
432018
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
302018
Genetic Diversity of Wild and Cultivated Barley Genotypes Under Drought Stress Using RAPD
H Pakniyat
Biotechnology 7 (4), 745-750, 2008
302008
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
252016
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
122021
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
122019
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
52015
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
42023
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
42023
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
42022
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
42021
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
42021
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
42021
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
32023
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
32022
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
32022
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
22023
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