Volume 26 (2024)
Volume 25 (2023)
Volume 24 (2022)
Volume 23 (2021)
Volume 22 (2020)
Volume 21 (2019)
Volume 20 (2018)
Volume 19 (2017)
Volume 18 (2016)
Volume 17 (2015)
Volume 16 (2014)
Volume 15 (2013)
Volume 14 (2012)
Volume 13 (2011)
Volume 12 (2010)
Volume 11 (2009)
Quantifying the germination reaction of different Basil masses to temperature

Sahar Binesh; Gholam abbas Akbari; Elias Soltani; Fatmeh Amini

Volume 20, Issue 2 , August 2018, , Pages 427-438

https://doi.org/10.22059/jci.2018.235431.1757

Abstract
  In order to examine the germination response of basil medicinal plant’s seeds (Ocimum basilicum L.) to temperature and determination of cardinal temperatures for germination percentage and rate, a compound decomposition experiment was performed through a fully random design with four reptile and ...  Read More

Prediction of dry matter production and leaf area index in faba bean under different planting dates and densities

Najebullah Ebrahimi; Benjamin Torabi; Afshin Soltani; Ebrahim Zenali

Volume 20, Issue 1 , June 2018, , Pages 283-298

https://doi.org/10.22059/jci.2018.237540.1791

Abstract
  To analyze the growth, it is necessary to access to accurate and well-arranged data obtained from measuring leaf area and dry matter accumulation. The purpose of this study was to evaluate different nonlinear regression models to study the trend of changes in leaf area index and dry matter production ...  Read More

Evaluation of DSSAT model for potential yield prediction of potato under autumn cropping system (Case study: Jiroft, Iran)

Javad Taie; Ebrahim Amiri; Ahmad Aien; Naser Boroumand; Mehrangiz Jokar

Volume 19, Issue 4 , March 2018, , Pages 893-905

https://doi.org/10.22059/jci.2017.60480

Abstract
  Crop Simulation Models are advanced tools to estimate crop yield and optimizing of crop management practices. This study was conducted in order to evaluate DSSAT model under autumn cropping system condition in Jiroft, Iran, 2012-2014. The field experiment which repeated in two sequential years and three ...  Read More

Optimization of nitrogen concentration of plant tissue for increased quantity and quality of tobacco leaf using an artificial neural network

Hojjat Salehzadeh; Manouchehr Gholi pour; Hamid Abbasdokht; Mehdi Baradaran

Volume 18, Issue 3 , December 2016, , Pages 673-682

https://doi.org/10.22059/jci.2016.56628

Abstract
  Nitrogen (N) affects adversely the tobacco yield quantity and quality as it increases yield, Chlorine and nicotine contents, but decrease potassium content. This experiment was aimed at optimization of (the balance between) N concentration in leaf, stem and root to increase both yield quantity and quality ...  Read More