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2013 1
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Page 1
Identification and estimation of lodging in bread wheat genotypes using machine learning predictive algorithms.
Rabieyan E, Darvishzadeh R, Alipour H. Rabieyan E, et al. Plant Methods. 2023 Oct 17;19(1):109. doi: 10.1186/s13007-023-01088-w. Plant Methods. 2023. PMID: 37848989 Free PMC article.
RESULTS: The lodging score index (LS) had the highest positive correlation with plant height (r = 0.78**), Number of nodes (r = 0.71**), and internode length 1 (r = 0.70**). Genotypes were classified into four groups based on heat map output. ...The findings …
RESULTS: The lodging score index (LS) had the highest positive correlation with plant height (r = 0.78**), Number of nodes (r …
Grass pea dual purpose dry matter and seed yields in rainfed conditions across diverse environments.
Maleki HH, Vaezi B, Jozeyan A, Mirzaei A, Darvishzadeh R, Dashti S, Arshad M, Zeinalzadeh-Tabrizi H, Kordrostami M. Maleki HH, et al. Sci Rep. 2025 Feb 10;15(1):4960. doi: 10.1038/s41598-025-89050-9. Sci Rep. 2025. PMID: 39930066 Free PMC article.
Low broad-sense heritability was observed, and the R(2) for genotype-environment interaction showed the existence of GEI for dry-matter yield (0.126) and seed yield (0.223). ...
Low broad-sense heritability was observed, and the R(2) for genotype-environment interaction showed the existence of GEI for dry-matt …
Association analysis of physiological traits in spring barley (Hordeum vulgare L.) under water-deficit conditions.
Jabbari M, Fakheri BA, Aghnoum R, Darvishzadeh R, Mahdi Nezhad N, Ataei R, Koochakpour Z, Razi M. Jabbari M, et al. Food Sci Nutr. 2021 Jan 28;9(3):1761-1779. doi: 10.1002/fsn3.2161. eCollection 2021 Mar. Food Sci Nutr. 2021. PMID: 33747487 Free PMC article.
Linkage disequilibrium analysis revealed that r (2) values among all possible marker pairs have an average value of 0.0178. The mixed linear model procedure showed that totally, 207 loci had a significant association with investigated traits. 120 QTLs out of 207 were detec …
Linkage disequilibrium analysis revealed that r (2) values among all possible marker pairs have an average value of 0.0178. The mixed …
Sweet pepper yield modeling via deep learning and selection of superior genotypes using GBLUP and MGIDI.
Maleki HH, Darvishzadeh R, Azad N. Maleki HH, et al. Sci Rep. 2025 Apr 27;15(1):14718. doi: 10.1038/s41598-025-99779-y. Sci Rep. 2025. PMID: 40289216 Free PMC article.
The convolutional neural network (CNN) models via outputs of both correlation coefficients and stepwise regression showed the high accuracy of CNN model through correlation coefficients (R(2) = 0.879) in predicting fruit yield of sweet pepper. Fruit thickness and fruit wid …
The convolutional neural network (CNN) models via outputs of both correlation coefficients and stepwise regression showed the high accuracy …
Antioxidant activity and phenolic profile of different parts of Bene (Pistacia atlantica subsp. kurdica) fruits.
Hatamnia AA, Abbaspour N, Darvishzadeh R. Hatamnia AA, et al. Food Chem. 2014 Feb 15;145:306-11. doi: 10.1016/j.foodchem.2013.08.031. Epub 2013 Aug 27. Food Chem. 2014. PMID: 24128482
In hull extracts, positive correlation coefficient was observed between total phenolic content and FRAP (R(2) = 0.98) and DPPH (R(2) = 0.66) assays. The results showed that, the highest antioxidant activity of hull extract may be attributed to higher total phenolic …
In hull extracts, positive correlation coefficient was observed between total phenolic content and FRAP (R(2) = 0.98) and DPPH (R …
Prediction of oil yield in sunflower using deep learning regression algorithm under normal and drought stress conditions.
Khalifani S, Darvishzadeh R, Amjad SHM, Shayesteh MG, Akbari N, Arzhang S, Azizi SM, Maleki HH. Khalifani S, et al. BMC Plant Biol. 2026 Jan 29;26(1):365. doi: 10.1186/s12870-026-08110-y. BMC Plant Biol. 2026. PMID: 41612187 Free PMC article.
The best results were obtained under drought stress with 11 input variables, where the DLR model achieved (R(2) = 0.98, RMSE = 0.4, MSE = 0.16, MAE = 0.20 (train), R(2) = 0.96, RMSE = 0.55, MSE = 0.31, MAE = 0.34 (test)), along with markedly lower RMSE and MAE value …
The best results were obtained under drought stress with 11 input variables, where the DLR model achieved (R(2) = 0.98, RMSE = 0.4, M …