Arab MM - Search Results

1

Advances in Rootstock Breeding of Nut Trees: Objectives and Strategies.

Vahdati K, Sarikhani S, Arab MM, Leslie CA, Dandekar AM, Aletà N, Bielsa B, Gradziel TM, Montesinos Á, Rubio-Cabetas MJ, Sideli GM, Serdar Ü, Akyüz B, Beccaro GL, Donno D, Rovira M, Ferguson L, Akbari M, Sheikhi A, Sestras AF, Kafkas S, Paizila A, Roozban MR, Kaur A, Panta S, Zhang L, Sestras RE, Mehlenbacher SA. Vahdati K, et al. Among authors: arab mm. Plants (Basel). 2021 Oct 20;10(11):2234. doi: 10.3390/plants10112234. Plants (Basel). 2021. PMID: 34834597 Free PMC article. Review.

2

Modeling and Optimizing a New Culture Medium for In Vitro Rooting of G×N15 Prunus Rootstock using Artificial Neural Network-Genetic Algorithm.

Arab MM, Yadollahi A, Eftekhari M, Ahmadi H, Akbari M, Khorami SS. Arab MM, et al. Sci Rep. 2018 Jul 2;8(1):9977. doi: 10.1038/s41598-018-27858-4. Sci Rep. 2018. PMID: 29967468 Free PMC article.

3

Genome-wide patterns of population structure and association mapping of nut-related traits in Persian walnut populations from Iran using the Axiom J. regia 700K SNP array.

Arab MM, Marrano A, Abdollahi-Arpanahi R, Leslie CA, Askari H, Neale DB, Vahdati K. Arab MM, et al. Sci Rep. 2019 Apr 23;9(1):6376. doi: 10.1038/s41598-019-42940-1. Sci Rep. 2019. PMID: 31015545 Free PMC article.

4

Combining phenotype, genotype, and environment to uncover genetic components underlying water use efficiency in Persian walnut.

Arab MM, Marrano A, Abdollahi-Arpanahi R, Leslie CA, Cheng H, Neale DB, Vahdati K. Arab MM, et al. J Exp Bot. 2020 Jan 23;71(3):1107-1127. doi: 10.1093/jxb/erz467. J Exp Bot. 2020. PMID: 31639822

5

Combining gene expression programming and genetic algorithm as a powerful hybrid modeling approach for pear rootstocks tissue culture media formulation.

Jamshidi S, Yadollahi A, Arab MM, Soltani M, Eftekhari M, Sabzalipoor H, Sheikhi A, Shiri J. Jamshidi S, et al. Among authors: arab mm. Plant Methods. 2019 Nov 18;15:136. doi: 10.1186/s13007-019-0520-y. eCollection 2019. Plant Methods. 2019. PMID: 31832078 Free PMC article.

6

Predictive modeling of Persian walnut (Juglans regia L.) in vitro proliferation media using machine learning approaches: a comparative study of ANN, KNN and GEP models.

Sadat-Hosseini M, Arab MM, Soltani M, Eftekhari M, Soleimani A, Vahdati K. Sadat-Hosseini M, et al. Among authors: arab mm. Plant Methods. 2022 Apr 11;18(1):48. doi: 10.1186/s13007-022-00871-5. Plant Methods. 2022. PMID: 35410228 Free PMC article.

7

Genome-wide association analysis and pathway enrichment provide insights into the genetic basis of photosynthetic responses to drought stress in Persian walnut.

Arab MM, Brown PJ, Abdollahi-Arpanahi R, Sohrabi SS, Askari H, Aliniaeifard S, Mokhtassi-Bidgoli A, Mesgaran MB, Leslie CA, Marrano A, Neale DB, Vahdati K. Arab MM, et al. Hortic Res. 2022 Aug 1;9:uhac124. doi: 10.1093/hr/uhac124. eCollection 2022. Hortic Res. 2022. PMID: 35928405 Free PMC article.

8

Natural variation in photosynthesis and water use efficiency of locally adapted Persian walnut populations under drought stress and recovery.

Arab MM, Askari H, Aliniaeifard S, Mokhtassi-Bidgoli A, Estaji A, Sadat-Hosseini M, Sohrabi SS, Mesgaran MB, Leslie CA, Brown PJ, Vahdati K. Arab MM, et al. Plant Physiol Biochem. 2023 Aug;201:107859. doi: 10.1016/j.plaphy.2023.107859. Epub 2023 Jun 29. Plant Physiol Biochem. 2023. PMID: 37406405

9

Predicting In vitro Culture Medium Macro-Nutrients Composition for Pear Rootstocks Using Regression Analysis and Neural Network Models.

Jamshidi S, Yadollahi A, Ahmadi H, Arab MM, Eftekhari M. Jamshidi S, et al. Among authors: arab mm. Front Plant Sci. 2016 Mar 29;7:274. doi: 10.3389/fpls.2016.00274. eCollection 2016. Front Plant Sci. 2016. PMID: 27066013 Free PMC article.

10

Artificial Neural Network Genetic Algorithm As Powerful Tool to Predict and Optimize In vitro Proliferation Mineral Medium for G × N15 Rootstock.

Arab MM, Yadollahi A, Shojaeiyan A, Ahmadi H. Arab MM, et al. Front Plant Sci. 2016 Oct 19;7:1526. doi: 10.3389/fpls.2016.01526. eCollection 2016. Front Plant Sci. 2016. PMID: 27807436 Free PMC article.

The ANN-GA showed that the best proliferation rate was obtained from medium containing (mM) 27.5 [Formula: see text], 14 [Formula: see text], 5 Ca(2+), 25.9 K(+), 0.7 Mg(2+), 1.1 [Formula: see text], 4.7 [Formula: see text], and 0.96 Cl(-). The performance of the medium op …

The ANN-GA showed that the best proliferation rate was obtained from medium containing (mM) 27.5 [Formula: see text], 14 [Formula: se …

Save citations to file

Email citations

Send citations to clipboard

Add to Collections

Add to My Bibliography

Create a file for external citation management software

Your saved search

Your RSS Feed

My NCBI Filters

Text availability

Article attribute

Article type

Publication date

26 results

Search Page