نتایج جستجو برای: tarom
تعداد نتایج: 199 فیلتر نتایج به سال:
Aphelenchoides besseyi is a seed-borne plant parasitic nematode and is widely distributed in most rice growing areas. Application of resistant cultivars requires the identification of resistance source, which can then be included in breeding programs to improve the local rice cultivars. Fourteen Iranian rice genotypes including improved and local varieties were evaluated for resistance to A. be...
Green semilooper, Naranga aenescens Moore (Lepidoptera: Noctuidae) is a major pest in paddy fields of northern Iran. Since plant resistance to pests is a method with high efficacy and safety, a research was conducted to evaluate the resistance of 12 rice varieties (including, Tarom, Shafagh, Hybrid, Khazar, Poya, Fajr, Kados, Shiroodi, Sahel, Tabesh, Nemat and Neda) to N. aenescens on the basis...
Blast (Magnaporthe grisea) is the most important disease of rice in Mazandaran province, north of Iran, which causes severe damages annually on susceptible cultivars. Tarom Mahalli is a local aromatic cultivar with high cooking quality and marketability, but very susceptible to blast. To protect this cultivar and similar susceptible cultivars against rice blast, farmers have to use high amounts...
In order to evaluate the response of Tarom-mahali rice mutant lines to salinity in germination stage, study carried out as factorial experiment in a completely randomized design with three replications. Rice genotypes were includind 33 tarom-mahali mutant lines (M6 generation) and Hassani (tolerance), Tarom-mahali, Tarom Jelodar, Binam and IR29 (sensitive) cultivars. Salinity levels were in...
Salinity is one of the most extensive environmental stresses and is a limiting factor for the growth and development of crops, such as rice. Then, an experiment based upon completely randomized design with four low levels (0, 7.5, 15, 22.5) and four high of salinity (75, 150, 225 and 300 mM) with control as the first factor and nine cultivars of rice (dollars, Hasan Saraii, Mousa Tarom, Kamfiru...
due to variation in economic value of different varieties of rice, reports indicating the possibility of mixing different varieties on the market. applying image processing and neural networks techniques to classify rice varieties is a method which can increase the accuracy of the classification process in real applications. in this study, several morphological features of rice seeds’ images we...
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