2026-06-12T21:55:54+03:30 http://jcpp.iut.ac.ir/browse.php?mag_id=96&slc_lang=fa&sid=1

96-3101 2026-06-12 10.1002

Journal of Crop Production and Processing 2251-8517 2251-8525 2022 12 1 M. Ghaffari sunflowerkaraj@gmail.com A. Gholizadeh a.gholizadeh@areeo.ac.ir S. A. Andarkhor a_andarkhor@yahoo.com َA. Zareei Siahbidi azareei46@gmail.com S. A. Kalantar Ahmadi kalantar.ahmadi@gmail.com F. Shariati frzshariati@gmail.com A. Rezaeizad arezaizad@yahoo.com Evaluating of sunflower genotypes under different environmental conditions would be useful to identify genotypes with high stability and yield potential. In order to study yield stability of sunflower genotypes, 11 new hybrids along with four cultivars (namely Golsa, Ghasem, Shams and Farrokh) were evaluated in a randomized complete block design with four replications under four experimental field stations across Iran including Karaj, Sari, Kermanshah and Dezful during 2018-2020. The results of combined analysis of variance indicated that the effects of environments, genotypes and genotype × environment interaction were significant for seed yield. Existence of genotype × environment interaction, suggested that genotypes responded differently to the studied environment conditions. Therefore, there is the possibility of stability analysis. Cluster analysis based on the nonparametric stability statistics grouped genotypes in to three main clusters. According to the mean rank of all studied nonparametric stability parameters, the genotypes No. 5 and 14 with the lowest value of mean rank were distinguished as stable genotypes, meanwhile genotypes No. 1, 11, 12 and 9 with the highest values of mean rank were identified as non-stable genotypes. Also, the results indicated that the nonparametric statistics Si, NPi and NPi were associated with mean seed yield and the dynamic concept of stability. Therefore, these methods would be suitable for selecting stable and high yielding genotypes in sunflower. Finally, the genotype No. 5 with mean seed yield of 3355 kg ha-1 and high broad stability was distinguished as superior hybrid which can be used in the future breeding programs for producing the new cultivar with high yield and stability potential. Genotype × environment interaction Stability analysis Cluster analysis Hybrid 2022 5 01 1 13 http://jcpp.iut.ac.ir/article-1-3101-en.pdf 10.47176/jcpp.12.1.36104

96-3098 2026-06-12 10.1002

Journal of Crop Production and Processing 2251-8517 2251-8525 2022 12 1 S. A. A. Mohammadi mohamadim322@gmail.com M. R. Tadayon mrtadayon@yahoo.com H. Karimzadeh karimzadeh.he@gmail.com In order to evaluate the effect of potassium sulfate fertilizer and ascorbic acid application on yield and yield components and growth of quinoa (Chenopodium quinoa Willd.), a field experiment was carried out at 2018-2019 at Isfahan, central Iran. A factorial experiment based on a randomized complete block design with three replications was used. Experimental treatments were potassium sulfate in four levels including: no fertilizers application (control), 50%, 100%, and 150% (1.5 times) of the recommended amount. Foliar application of ascorbic acid also was used in three levels including: control (spraying with distilled water), 100, and 200 mg L-1 ascorbic acid. Plant height, leaf relative water content (RWC), yield and yield components of Quinoa were measured. Analysis of variance showed that potassium sulfate fertilizer and foliar application of ascorbic acid had significant effects on measured traits. The results showed that leaf area index (LAI) and dry matter accumulation (DM) were affected by both potassium sulfate fertilizer and ascorbic acid, and these treatments increased these traits. Increasing rates of ascorbic acid and potassium sulfate increased the relative water content of leaves, plant height, and spikes/m2, seeds/spike, and 1000-seed weight. Grain yield and harvest index increased due to application of ascorbic acid (200 mg L-1) and potassium sulfate (150% (1.5 times) the recommended amount) by 79% and 2.6 times, respectively, compared to the control treatment. Therefore, these treatments were considered as a suitable combination to improve yield in the quinoa plant. Plant height Dry matter Grain yield Harvest Index RWC 2022 5 01 15 30 http://jcpp.iut.ac.ir/article-1-3098-en.pdf 10.47176/jcpp.12.1.209115

96-3121 2026-06-12 10.1002

Journal of Crop Production and Processing 2251-8517 2251-8525 2022 12 1 M. Tahmasebi tahmasebi58.m@gmail.com M. H. Gharineh Mgharineh@asnrukh.ac.ir A. Moshatati A.moshatati@asnrukh.ac.ir A. Khodaei-Joghan Aydin.khodaei@gmail.com In order to investigate the effect of planting method and sugarcane residue compost fertilizer on morphological and physiological traits and grain yield of corn, a field experiment using a split-plot arrangement was accomplished in a randomized complete block design with four replicates in Mian-Ab, Shooshtar, south-west Iran in summer 2018. Experimental factors included four planting methods (on ridges, on watermark, in furrows, and on flat ground) as main factor in main plots and four amounts of sugarcane residues compost (0, 10, 20, and 30 t ha-1) in sub-plots. Results showed that the effects of planting method, sugarcane residue compost, and their interaction were significant on the leaf area index, plant height, ear height, SPAD, chlorophyll a, chlorophyll b, total chlorophyll, grains/ear, thousand grain weight and grain yield. Mean comparison showed that the maximum amount of the examined corn traits was obtained in furrow planting and using 30 t ha-1 of sugarcane residue compost and the lowest amounts were observed in ridge planting and absence of sugarcane residue compost. The highest grain yield (6497 kg ha-1) was achieved in furrow planting and presence of 30 t ha-1 of sugarcane residue compost and the lowest grain yield (3870 kg ha-1) was in ridge planting and absence of sugarcane residue compost. In general, it seems that furrow planting by providing better growth conditions and consumption of sugarcane residues compost fertilizer due perhaps to improvement in soil nutrient availability and moisture storage capacity increase the growth and grain yield of corn in Shooshtar region. Planting pattern Organic fertilizer Plant height Chlorophyll Khuzestan 2022 5 01 31 44 http://jcpp.iut.ac.ir/article-1-3121-en.pdf 10.47176/jcpp.12.1.33572

96-3115 2026-06-12 10.1002

Journal of Crop Production and Processing 2251-8517 2251-8525 2022 12 1 R. Tabrizi Dooz rahatabrizidooz@gmail.com D. Naderi davidnaderi@gmail.com S. Kalateh Jari kalatejari@yahoo.com H. A. Asadi Gharneh h.a_asadi@yahoo.com M. Ghanbari Jahromi ghanbari460@gmail.com In the present study, the effect of foliar application of methyl jasmonate (MeJA) (0, 50, 100, and 200 µM) and salt stress (2 (non-stress), 4 and 8 dS m-1) on the improvement of salinity stress tolerance in narcissus was studied in the Research Greenhouse, Islamic Azad University of Isfahan (Khorasgan) during 2019-2020. In this research, a pot experiment was conducted, as factorial based on randomized complete block design with three replications. With increase in salinity, chlorophyll content, membrane stability index, leaf area, fresh and dry weight of shoots and roots and K concentration of narcissus decreased but Na and Cl concentrations increased in the leaves and bulbs. However, foliar-applied MeJA led to decreases in the concentration of Na and Cl and increase in the concentration of K in the plant tissue, resulting in improvement of the growth and plant biomass of the salt-stressed plants. Application of 50, 100 and 200 μM MeJA led to 5%, 14%, 7% reductions in leaf Na, 4%, 17%, 3% reductions in bulb Na, and 11%, 13%, 7% reductions in leaf Cl concentrations, respectively, of narcissus subjected to 8 dS m-1 salinity, compared to the absence of MeJA treatment. Moreover, application of 100 μM MeJA increased leaf K by 12%. Therefore, application of 100 μM MeJA was proven to be superior to other levels used in this study in increasing the tolerance of narcissus to saline conditions. Leaf area Membrane stability index Foliar application Sodium to potassium ratio Shoot and root dry weight 2022 5 01 45 58 http://jcpp.iut.ac.ir/article-1-3115-en.pdf 10.47176/jcpp.12.1.36731

96-3139 2026-06-12 10.1002

Journal of Crop Production and Processing 2251-8517 2251-8525 2022 12 1 M. H. Taleb mh.talebs@gmail.com M. M. Majidi majidi@iut.ac.ir S. A. M. Sayed Ali Mohammad Mirmohammady Maibody maibody@iut.ac.ir Fatemeh Pirnahmedin f.pirnajmedin@yahoo.com This study was performed to investigate the effects of drought stress on agronomic traits, post-drought recovery, and survival of tall fescue genotypes in the Research Farm of the Isfahan University of Technology located in Lavark, Najafabad, central Iran. In this study, 67 tall fescue genotypes, including three groups of the early, medium, and late in terms of flowering were studied. All genotypes were fully irrigated after planting for two years (2016-2017) and then in the third and fourth years (2018-2019) were examined under three irrigation environments including normal water (50% moisture depletion) mild drought stress (70% moisture depletion), and intense drought stress (90% moisture depletion). Morphological and performance traits were examined. In the summer of the fourth year (2019) after the summer harvest, irrigation was stopped in all drought stress levels for two months. Then the plants were irrigated again for six weeks, and after regrowth, recovery-related traits were evaluated. High genetic diversity was observed among tall fescue genotypes for all measured traits. The results showed that drought stress had adverse effects on forage yield and yield components, recovery traits, and survival. Prolonged drought stress changed the relationships between different traits. Significant positive correlation between the forage yield and recovery rate with drought tolerance indicated that these traits could be used as appropriate selection criteria to increase forage yield and identify superior genotypes in arid and semi-arid regions. The results of this study indicated low to moderate summer dormancy (incomplete summer dormancy) in this germplasm. Negative correlation of functional and stress tolerance traits with day to recovery under drought stress conditions showed that drought tolerant genotypes will have faster recovery than other genotypes. The results showed that some late flowering genotypes (such as 3L, 18L and 11L) are valuable gene sources for forage production. Drought tolerant genotypes with suitable yield in three flowering groups were identified using the biplot and principal component analysis method. These genotypes can be useful for breeding programs in future studies. Selection Genetic diversity Performance Relationship among traits 2022 5 01 59 77 http://jcpp.iut.ac.ir/article-1-3139-en.pdf 10.47176/jcpp.12.1.201327

96-3126 2026-06-12 10.1002

Journal of Crop Production and Processing 2251-8517 2251-8525 2022 12 1 A. Aslani asmae.aslani@gmail.com M. Mojtabaie Zamani mahroo.mojtabaei@gmail.com In order to evaluate the ability of wheat cultivars to accumulate reserves in the stem and remobilization of these reserves to seeds under heat stress resulting from delayed sowing and to investigate the effect of phosphate-solubilizing bacteria on this ability, this study was carried out as split factorial based on a complete randomized block design with three replications in Haftkol, Khuzestan, Iran, in the growing season of 2016-2017. The main factor consisted of sowing date in two levels (22 November as conventional and 2 January as delayed seeding dates) and a factorial of the two subfactors consisting of five bread wheat cultivars (Chamran2, Mehregan, Sirvan, Shush and Barat) and two levels of application of phosphate solubilizing bacteria, Pseudomonas putida (P13) and Pantoea agglomerans (P5), (inoculation and without inoculation). The results showed that the reduction of stem specific weight (28.5%), stem length (18.7%) and effective grain filling duration (38.3%) were the most important reasons for reducing dry matter remobilization to stem and the efficiency of this remobilization in delayed sowing. At both sowing dates under bacterial seed inoculation conditions, the dry matter remobilization efficiency was 8.5% lower than the non-inoculated conditions. In the conventional sowing date, the relationship between spike weight and dry matter remobilization was positive and significant, but at delayed sowing date, spike weight and grain yield were not significantly related to dry matter remobilization and efficiency. In general, stem specific weight was recognized as the most important factor affecting the accumulation of reserves in the stem and Mehregan cultivar, with the ability to utilize stem reserves, was introduced as a suitable cultivar for delayed cultivation in the region. Biofertilizer Heat stress Remobilization efficiency Stem specific weight 2022 5 01 79 96 http://jcpp.iut.ac.ir/article-1-3126-en.pdf 10.47176/jcpp.12.1.32533

96-3110 2026-06-12 10.1002

Journal of Crop Production and Processing 2251-8517 2251-8525 2022 12 1 A. Shirzad ashirzad1995@gmail.com A. Asghari ali_asgharii@yahoo.com H. Zali Hzali90@yahoo.com O. Sofalian Sofalian@gmail.com H. R. Mohammaddoust Chamanabad hr_chamanabad@yahoo.com This study was conducted to investigate the phenotypic diversity of 108 pure barley lines in Augment design with four controls in six blocks in the farm of Darab Agricultural Research Station (2020-2021). In order to select the best lines in terms of yield and other traits, SIIG index was used. The results of restricted maximum likelihood (REML) analysis showed that the lowest and highest levels of broad-sense heritability were related to the number of days to the spike emergence of (0.21) and the number of days to maturity (0.97), respectively. Based on the SIIG index, the studied lines were grouped into five categories. The results of SIIG index showed that L86 and L38 lines with the highest (0.640) and lowest (0.249) values of SIIG were the best and weakest lines, respectively. The results of grouping the lines based on SIIG index showed that group one and two lines and lines L22, L62, L80, L64, L51, L10, L96, L73, L81, L100, L69 and L97 from group three, were the best in this study and can be considered for further investigations. Overall, the results showed that SIIG index was able to classify genotypes based on grain yield, spikes/m2, seeds/spike, spike weight and plant height simultaneously, and also there was a relative compliance between the SIIG index and principal component analysis. Therefore, SIIG index is a suitable method for selecting ideal genotypes based on several traits simultaneously. Phenotypic diversity Selection index Heat map Heritability REML 2022 5 01 97 117 http://jcpp.iut.ac.ir/article-1-3110-en.pdf 10.47176/jcpp.12.1.32902

96-3144 2026-06-12 10.1002

Journal of Crop Production and Processing 2251-8517 2251-8525 2022 12 1 S. Abyar S.abyar92@gmail.com S. Navabpour s.navabpour@yahoo.com R. Karimizadeh r.karimizadeh@areo.ac.ir A. Gholizadeh gholizadehamir68@gmail.com A. A. Nasrollahnejad ghomi nasrollahnejad@gau.ac.ir Gh. Kiani ghkiani@gmail.com Knowledge about genotype × environment interaction helps breeders to select the best adaptable and stable genotypes for different regions. The main objective of this research was to select higher yielding bread wheat genotypes, compared to control cultivar, that are adaptable to the climatic conditions of the tropical and subtropical rainfed regions of Iran. Thus, 15 bread wheat genotypes selected from advanced yield comparison experiments, along with the check cultivar of Aftab, were studied in a randomized complete block design with three replications for three cropping seasons (2017-2020) in four regions (Gachsaran, Gonbad, Khorramabad and Moghan). In order to analyze the genotype × environment interaction the multivariate method of Additive Main Effects and Multiplicative Interaction (AMMI) was used. The Results of combined analysis of variance indicated that 91.49, 1.54 and 5.03 percentage of the total variations are related to environment, genotype and genotype × environment interaction, respectively. Moreover, results showed that the first seven principal components of the AMMI model were significant and explained 97.94% of genotype × environment interactions. The biplot of mean grain yield and the first principle component of genotypes and environments revealed that genotypes G1, G12 and G11 with a higher grain yield than the overall mean and lowest genotype × environment interaction were stable with high grain yield. Among them, genotype 11 with suitable general adaptability can be selected as promising genotype and a candidate for introducing a new cultivar for arid and semiarid rainfed regions. In this research, Khorramabad, with high proportion of genotype × environment interaction was recognized as the ideal environment for differentiation and separation of bread wheat genotypes. The cluster analysis classified the studied environments into three groups. The inclusion of all three years experiments related to Moghan location in one group indicates the high predictability and repeatability of this region. Genotype × environment interaction Tropical and subtropical rainfed regions Additive main effects and multiplicative interaction analysis Stability analysis Biplot. 2022 5 01 119 132 http://jcpp.iut.ac.ir/article-1-3144-en.pdf 10.47176/jcpp.12.1.36253

96-3137 2026-06-12 10.1002

Journal of Crop Production and Processing 2251-8517 2251-8525 2022 12 1 M. Mirtayebi mirtayebi@gmail.com A. Bostani bostaniamir@gmail.com M. Diyanat Ma_dyanat@yahoo.com A. Azadi azadi.amin@gmail.com In order to investigate the effect of drought stress, biofertilizer and potassium Nano fertilizer on quinoa plant, a split-factorial experiment was conducted in a randomized complete block design with three replications in Ahmadabad Mostofi, Tehran, Iran in two growing seasons (2017-2018 and 2018-2019). The studied factors included drought stress at four levels (-0.015 (control), -0.3, -0.6 and -0.9 MPa) as the main factor and two biofertilizer factors (a combination of Nitrogen-fixing bacteria and mycorrhiza fungi at four levels (non-application (control) and 1, 2 and 3%) and potassium Nano fertilizer at two levels (non-application (control) and application) as sub-factors were factorially placed in sub-plots. The results showed that the highest leaf area index (3.38), 1000-seed weight (2.56 g) and harvest index (31.7%) is attainable in normal irrigation condition and application of potassium Nano fertilizer. The highest potassium (0.115%), iron (154.0 mg/100 g dry matter), and grain carbohydrates (76.8%) contents were obtained under normal irrigation condition with application of 3% biofertilizer and application of Nano fertilizer and the lowest ones were obtained under condition of severe stress with non-application of biofertilizer and non-application of potassium Nano fertilizer. With increasing stress intensity, the mean calcium and magnesium of the seed decreased from 0.273% and 0.240% in normal irrigation conditions to 0.145% and 0.142% in severe stress conditions, respectively. Drought stress increased and decreased quinoa protein and seed oil, respectively, but the application of biofertilizer and potassium Nano fertilizer improved them. Therefore, both under normal irrigation and drought stress conditions, the use of 3% biofertilizer and potassium Nano fertilizer is recommended to improve the quality of quinoa seed. 1000-grain weight Harvest index Phosphorus Protein Zinc 2022 5 01 133 150 http://jcpp.iut.ac.ir/article-1-3137-en.pdf 10.47176/jcpp.12.1.36821

96-3146 2026-06-12 10.1002

Journal of Crop Production and Processing 2251-8517 2251-8525 2022 12 1 s. abdi s.abdi@tabrizu.ac.ir In order to define a suitable sowing date and effect of nitrogen fertilizer on quinoa, a randomized complete block design field experiment was conducted based on a split-plot design with three replications in 2019 at Ahar, Iran. Experimental treatments included: Five sowing dates (Feb. 24, Mar. 11, Mar. 25, Apr. 9 and Apr. 25) as main plot and five levels of nitrogen fertilizer (0, 90, 180, 270 and 360 kg ha-1) as sub plots. Results indicated that maximum 1000-seed weight (3.48 g) was obtained at sowing date of 25 Apr. under 180 kg ha-1 nitrogen and the highest grain yield and biomass were observed at sowing date of 25 Apr. with application of 270 and 360 kg ha-1 nitrogen fertilizer. The highest plant height and grain nitrogen percentage were obtained in the sowing date of 25 Apr. with application of 90, 180, 270 and 360 kg ha-1. A significant increase in nitrogen agronomic efficiency was observed with increasing application of nitrogen from control to 90 kg ha-1 in all sowing dates. The highest growing period (with 137 days) was observed at sowing date of 24 Feb. and the lowest growing period (with 95 days) was observed at sowing date of 25 Apr. Generally, the sowing date of 25 Apr. with application of 270 kg ha-1 nitrogen fertilizer is suitable for Ahar region owing to the shortest growing period and highest grain yield and biomass. Biomass Grain nitrogen Growing period Urea 2022 5 01 151 170 http://jcpp.iut.ac.ir/article-1-3146-en.pdf 10.47176/jcpp.12.1.34792