CHAOUACHI, Manel., MARZOUK, Takwa., KHIARI, Bilel., BEN, Cécile., GENTZBITTEL, Laurent., WIN, Joe., KAMOUN, Sophien., & DJEBALI, Naceur. (2021). Genome sequences of bacterial biocontrol agents isolated from Solanum lycopersicum and Medicago truncatula in Tunisia. Zenodo.
https://doi.org/10.5281/zenodo.5596089
Varshney, RK., Roorkiwal, M., Sun, S., Bajaj, P., Chitikineni, A., Thudi, M., Singh, NP., Du, X., Upadhyaya, HD., Khan, AW., Wang, Y., Garg, V., Fan, G., Cowling, WA., Crossa, J., Gentzbittel, L., Voss-Fels, KP., Valluri, VK., Sinha, P., Singh, VK ., Ben, C., Rathore, A., Punna, R., Singh, MK., Tar'an, B., Bharadwaj, C., Yasin, M., Pithia, MS., Singh, S., Soren , KR., Kudapa, H., Jarquín, D., Cubry, P., Hickey, LT., Dixit, GP., Thuillet, AC., Hamwieh, A., Kumar, S., Deokar, AA., Chaturvedi , SK., Francis, A., Howard, R., Chattopadhyay, D., Edwards, D., Lyons, E., Vigouroux, Y., Hayes, BJ., von Wettberg, E., Datta, SK., Yang, H., Nguyen, HT., Wang, J., Siddique, KHM., Mohapatra, T., Bennetzen, JL., Xu, X., Liu, X. A chickpea genetic variation map based on the sequencing of 3,366 genomes. Nature. 2021 Nov;599(7886):622-627. doi: 10. 1038/s41586-021-04066-1. Epub 2021 Nov 10. Erratum in: Nature. 2022 Apr;604(7905):E12. PMID: 34759320; PMCID: PMC8612933.
Javanrouh, A., Baneh, H. and Ghafouri-Kesbi, F., 2021. Different models for genetic evaluation of growth rate and efficiency-related traits in Iran-Black sheep. Journal of Livestock Science and Technologies, 9(2), pp.67-74.
Mandal, A., Baneh, H., Roy, R. and Notter, DR, 2021. Genetic diversity and population structure of Jamunapari goat in India using pedigree analysis. Tropical animal health and production, 53(2), pp.1-11.
Gasanov, M., Merkulov, D., Nikitin, A., Matveev, S., Stasenko, N., Petrovskaia, A., Pukalchik, M., Oseledets, I., 2021. A New Multi-objective Approach to Optimize Irrigation Using a Crop Simulation Model and Weather History, in: Paszynski, M., Kranzlmüller, D., Krzhizhanovskaya, VV, Dongarra, JJ, Sloot, PMA (Eds.), Computational Science – ICCS 2021, Lecture Notes in Computer Science. Springer International Publishing, Cham, pp. 75–88.
https://doi.org/10.1007/978-3-030-77970-2_7
Illarionova, S., Nesteruk, S., Shadrin, D., Ignatiev, V., Pukalchik, M., Oseledets, I., 2021 MixChannel: Advanced Augmentation for Multispectral Satellite Images. Remote Sensing 13, 2181.
https://doi.org/10.3390/rs13112181
Mandal, A., Baneh, H. and Notter, DR, 2021. Modeling the growth curve of Muzaffarnagari lambs from India. Livestock Science, 251, p.104621.
Nesteruk, S., Shadrin, D., Pukalchik, M., Somov, A., Zeidler, C., Zabel, P., Schubert, D., 2021. Image Compression and Plants Classification Using Machine Learning in Controlled-Environment Agriculture : Antarctic Station Use Case. IEEE Sensors J. 1–1.
https://doi.org/10.1109/JSEN.2021.3050084Shadrin, D., Nikitin, A., Tregubova, P., Terekhova, V., Jana, R., Matveev, S., Pukalchik, M., 2021. An Automated Approach to Groundwater Quality Monitoring—Geospatial Mapping Based on Combined Application of Gaussian Process Regression and Bayesian Information Criterion. Water 13, 400.
https://doi.org/10.3390/w13040400Stasenko, N., Chernova, E., Shadrin, D., Ovchinnikov, G., Krivolapov, I., Pukalchik, M., 2021. Deep Learning for improving the storage process: Accurate and automatic segmentation of spoiled areas on apples, in: 2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC). Presented at the 2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), IEEE, Glasgow, United Kingdom, pp. 1–6.
https://doi.org/10.1109/I2MTC50364.2021.9460071Vypirailenko, D., Kiseleva, E., Shadrin, D., Pukalchik, M., 2021. Deep learning techniques for enhancement of weeds growth classification, in: 2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC). Presented at the 2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), IEEE, Glasgow, United Kingdom, pp. 1–6.
https://doi.org/10.1109/I2MTC50364.2021.9459976Yudina, E., Petrovskaia, A., Shadrin, D., Tregubova, P., Chernova, E., Pukalchik, M., Oseledets, I., 2021. Optimization of Water Quality Monitoring Networks Using Metaheuristic Approaches: Moscow Region Use Case. Water 13, 888.
https://doi.org/10.3390/w13070888Chaouachi, M., Marzouk, T., Jallouli, S., Elkahoui, S., Gentzbittel, L., Ben, C., & Djébali, N. (2021). Activity assessment of tomato endophytic bacteria bioactive compounds for the postharvest biocontrol of Botrytis cinerea.
Postharvest Biology and Technology ,
172 , 111389.