Zobrazeno 1 - 10
of 62
pro vyhledávání: '"Abbas YADOLLAHI"'
Publikováno v:
Journal of Nuts, Vol 13, Iss 1, Pp 41-56 (2022)
This research was conducted to determine the effect of salicylic acid on the drought tolerance of three pistachio (Pistacia vera L.) rootstocks. The treatments were included three irrigation levels (Control: 100 % ETc, medium stress: 65% ETc, and sev
Externí odkaz:
https://doaj.org/article/212a2f9efa514dfdaa6e0c363b4a1d57
Autor:
Leila Mirzaei, Abbas Yadollahi, Maryam Jafarkhani Kermani, Masoud Naderpour, Ali Asghar Zeinanloo
Publikováno v:
Plant Methods, Vol 18, Iss 1, Pp 1-12 (2022)
Abstract Background The application of ribo nucleic acids for molecular studies requires high integrity and quality of extracted total RNA samples. In addition, the need to transfer RNA samples at room temperature without special treatments such as i
Externí odkaz:
https://doaj.org/article/9d75bf01eda6453ba1a6be5255aecc23
Publikováno v:
Journal of Nuts, Vol 12, Iss 4, Pp 333-360 (2021)
Drought is one of the main important adverse environmental events, certainly has an impact on plant growth and development. Pistachio is cultivated in areas where soil water deficits and salinity conditions are higher than normal. In most orchards, d
Externí odkaz:
https://doaj.org/article/b911926060bd4fb3a1101e037cbc8e4f
Autor:
Leila Mirzaei, Abbas Yadollahi, Maryam Jafarkhani Kermani, Masoud Naderpour, Ali Asghar Zeinanloo, Maryam Farsi, Dariush Davoodi
Publikováno v:
Plant Methods, Vol 17, Iss 1, Pp 1-15 (2021)
Abstract Background In vitro culture of olive, as an economically valuable tree, has fundamentally a genotype-dependant low micropropagation rate which needs to be improved in already established and newly released cultivars. Various plant tissue cul
Externí odkaz:
https://doaj.org/article/a0526da167094341b2284645ccba3ce0
Publikováno v:
Journal of Nuts, Vol 11, Iss 4, Pp 279-290 (2020)
The almond is one of the most important nut crops in many countries, including Iran. On the other hand, due to the difficult rooting in conventional propagation methods such as cuttings, its propagation has faced challenges. Therefore, this study was
Externí odkaz:
https://doaj.org/article/282ec4909d5642b998ca25167887fd97
Autor:
Saeid Jamshidi, Abbas Yadollahi, Mohammad Mehdi Arab, Mohammad Soltani, Maliheh Eftekhari, Hamed Sabzalipoor, Abdollatif Sheikhi, Jalal Shiri
Publikováno v:
Plant Methods, Vol 15, Iss 1, Pp 1-18 (2019)
Abstract Background Predicting impact of plant tissue culture media components on explant proliferation is important especially in commercial scale for optimizing efficient culture media. Previous studies have focused on predicting the impact of medi
Externí odkaz:
https://doaj.org/article/af8129b32edb4538829800225a097d0b
Autor:
Saeid Jamshidi, Abbas Yadollahi, Mohammad Mehdi Arab, Mohammad Soltani, Maliheh Eftekhari, Jalal Shiri
Publikováno v:
PLoS ONE, Vol 15, Iss 12, p e0243940 (2020)
Simplified prediction of the interactions of plant tissue culture media components is of critical importance to efficient development and optimization of new media. We applied two algorithms, gene expression programming (GEP) and M5' model tree, to p
Externí odkaz:
https://doaj.org/article/ea1043a416ef40da9e0b301b1e278b93
Publikováno v:
Majallah-i ̒Ulum-i Bāghbānī, Vol 30, Iss 4, Pp 694-700 (2017)
Introduction: Apple (Malus Miller) belongs to Rosacease family and the subfamily of Pomoideae. This fruit is at first place among fruits of temperate zones. The cultivated apple (Malus × domestica Borkh.) is a complex hybrid of the apple species. Ch
Externí odkaz:
https://doaj.org/article/9741983402164022b2686e92f88ceccc
Publikováno v:
Frontiers in Plant Science, Vol 9 (2018)
High performance liquid chromatography data related to the concentrations of 12 phenolic compounds in vegetative parts, measured at four sampling times were processed for developing prediction models, based on the cultivar, grapevine organ, growth st
Externí odkaz:
https://doaj.org/article/16b1d8c3409e4e7f85b5481c6fa2c5b0
Publikováno v:
Frontiers in Plant Science, Vol 8 (2017)
The efficiency of a hybrid systems method which combined artificial neural networks (ANNs) as a modeling tool and genetic algorithms (GAs) as an optimizing method for input variables used in ANN modeling was assessed. Hence, as a new technique, it wa
Externí odkaz:
https://doaj.org/article/234e1952639a48a7a700e88247897ea6