Tissue culture and Micropropagation
Zeinab Chaghakaboodi; Mahdi Kakaei; Alireza Zebarjadi; danial kahrizi
Abstract
Rapeseed (Brassica napus) is recognized as one of the most important oilseed crops worldwide and its development of cultivation has received attention due to the importance of importing oil. The current study aimed to investigate the effect of drought stress on some Rapeseed genotypes under tissue culture ...
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Rapeseed (Brassica napus) is recognized as one of the most important oilseed crops worldwide and its development of cultivation has received attention due to the importance of importing oil. The current study aimed to investigate the effect of drought stress on some Rapeseed genotypes under tissue culture and field conditions and to identify stable genotypes in the field. The possible responses of 14 different canola genotypes to Callus induction resulting from Hypocotyl cultivation and evaluation their drought tolerance were studied using Polyethylene Glycol 6000 (PEG 6000) at five different levels, including zero (as control), 10%, 20%, 30%, and 40% PEG concentrations based on a completely randomized design (CRD) with three replications. Measured traits included relative growth rate, growth rate, relative water content, and proline content of the Callus. Furthermore, in the field sector, the genotypes were investigated in four environments (two consecutive years in 2016-2018 under rainfed and irrigated conditions) based on randomized complete block design with three replications. According to the Callus culture results, the assessed traits, except the Proline content of Callus, decreased with increasing stress level. In laboratory conditions, genotype number seven (Dante) was introduced as the superior genotype. The results of Additive Main effects and Multiplicative Interaction (AMMI) analysis showed the significance of both additive effects of genotype and environment and the multiplicative effect of genotype × environment interaction. The results of cumulative additive effects (decomposition of variance) and multiplicative interaction effects (decomposition into principal components) showed that the first two components explained 53.02 and 33.65% of the variance of the interaction effect for oil yield. Dante and SLM-046 genotypes were introduced as stable genotypes.
Biosafty
Rahmatollah Karimizadeh; Payam Pezeshkpour; Amir Mirzaee; Mohammad Barzali; Farzad Azad Shareki; Peyman Azad Sharaki
Abstract
In order to achieve more high- yielding chickpea genotypes than the existing cultivars that have suitable traits such as seed yield, more number of pods per plant, coarseness of seeds , early maturity and other desired agricultural traits, 16 advanced chickpea genotypes selected from advanced tests ...
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In order to achieve more high- yielding chickpea genotypes than the existing cultivars that have suitable traits such as seed yield, more number of pods per plant, coarseness of seeds , early maturity and other desired agricultural traits, 16 advanced chickpea genotypes selected from advanced tests comparing crop year yield 2015-2016 along with Adel and Azad witness figures for three crop years (2016-2019) in Gachsaran, Gonbad, Khoramabad and Ilam were planted in the form of a completerandomized block design with three replications. Composite variance analysis showed a significant effect of genotype, environment and genotype interaction in the environment (GEI)., Therefore, Biplot method was used to analyze the genotype × environment interaction. The first two principal components explained 32/50 percent (26.12 and 24.2%, respectively) of the total GEI changes. The polygon view of Biplot showed that genotypes 18, 9, 17 and 16 with higher than average performance and near the origin of Bioplate were genotypes with high general stablity. Also genotypes 5, 12 and 11 showed adaptation to many environments. The average tester view of Biplot also showed that genotypes 12, 18 and 9 were the closest genotypes to the ATC axis and therefore the most stable and also had high average yield in different environments. The ideal genotype view of Biplot showed that genotypes 5 and 12 at the closest distance from the Biplot origin were the best genotypes and genotypes 1, 2 and 13 were the most unfavorable genotypes in terms of seed stability and yield.According to the results, genotypes 5, 9, 12 and 16 were selected as promising genotypes and candidates for introduction.
