Iranian Society of Crops and Plant Breeding Sciences最新文献

{"title":"Assessment of genotype × environment interaction and grain yield stability of selected aerobic rice (Oryza sativa L.) genotypes in northern region of Iran","authors":"A. Moumeni, Vali Arazi, M. Rostami, Nahid Fathi, Golestan Agricultural Researcher","doi":"10.52547/ABJ.22.4.305","DOIUrl":"https://doi.org/10.52547/ABJ.22.4.305","url":null,"abstract":"Moumeni, A., V. Arazi, M. Rostami and N. Fathi. 2020. Assessment of genotype × environment interaction and grain yield stability of selected aerobic rice (Oryza sativa L.) genotypes in northern region of Iran. Iranian Journal of Crop Sciences. 22(3): 305-320. (In Persian). For sustainable rice production in Iran the optimum use of production resources and the reduction of production costs are the two important issues. In this situation, water availability is a major limiting factor in sustainable rice production. Hence, changing of rice production system from lowland irrigated to aerobic production system, which is based on dry-seed sowing in non-puddled and non-satuared soil, is main goal in the national research plan. Six selected aerobic rice genotypes from preliminary yield trials together with two local checks of rice including; Neda, as tolerant and Tarom, as susceptible cultivars to aerobic conditions were evaluated using randomized comlete block design with three replications in Mazandaran and Golestan, Iran, provinces for three years from 2013-2015. Simple analysis of variance for each location showed significant differences among rice genotypes for all traits. Combined analysis of variance for grain yield was performed. There were highly significant differences for main effect of genotype, year × location and year × location ×genotype interactions effect. Grain yield stability analysis through AMMI and GGE bioplot methods indicated that aerobic rice cv. Vandana with an average grain yield of 2760 kg.ha over all environments had high and grain yield with yield stability. This cultivar was also close to ideal rice genotype with lower plant height (98.8 cm) and phenology (97.0 days to 50% flowering), followed by the other two aerobic rice genotypes; G2 (IR78908-193-B-3-B) and G6 (IR80508-B-194-3-B) with high grain yield over all environments. Therefore, these aerobic rice genotpes were selected and could be used in the national rice breeding programs or recommended for being grown in aerobic rice production system in Mazandaran and Golestan province under water-shortage conditions.","PeriodicalId":297527,"journal":{"name":"Iranian Society of Crops and Plant Breeding Sciences","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132388600","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessment of genetic variability, heritability and association of plant attributes with lint yield and fiber quality in advanced lines of cotton (Gossypium hirsutum L.)","authors":"O. Alishah","doi":"10.52547/ABJ.22.4.350","DOIUrl":"https://doi.org/10.52547/ABJ.22.4.350","url":null,"abstract":"Alishah, O. 2020. Assessment of genetic variability, heritability and association of plant attributes with lint yield and fiber quality in advanced lines of cotton (Gossypium hirsutum L.). Iranian Journal of Crop Sciences. 22(4): 350-364. (In Persian). Information on genetic variability and heritability of plant attributes and their correlation with lint yield and fiber quality is important for planning breeding and selection strategies for prediction of genetic gains in cotton breeding programs. For these purpose, a field experiment was carried out using randomized complete block design with four replications in 2016 and 2017 at Hashem-Abad cotton research station, Gorgan, Iran. Variability and heritability and genetic improvement for sixteen quantitative and qualitative traits were evaluated in 40 cotton genotypes including; 31 recombinant inbred lines (F7) and nine parental genotypes.in. The analyisis of variance as well as phenotypic, genotypic and environmental variances revealed high variation among cotton genotypes. Cotton genotpeswere grouped in three distinct classes using cluster analysis. In general, phenotypic coefficient of variation (PCV) estimates were higher than genotypic coefficients of variation (GCV) for all the studied attributes, implying the environment effect on the studied traits. The highest PCV and GCV were estimated for seed cotton yield, sympodial and monopodial branch numbers. High heritability and genetic improvement was observed in lint percentage (76.7% and 15.2%, respectively), boll number (72.6% and 23.5%, respectively), boll weight (67.9% and 19.7%, respectively) and sympodial number (56.8% and 79.3%, respectively), indicating the effect of additive gene action and favorable response of these traits to selection. Also, the above mentioned traits had significant positive correlation with seed cotton yield and reaffirmed to be the main cotton yield components. The results indicated that selection for boll number per plant, boll weight, lint percentage and sympodial branch number per plant are desirable selection indices for indirect selection for lint yield and fiber quality improvement of cotton at early generations.","PeriodicalId":297527,"journal":{"name":"Iranian Society of Crops and Plant Breeding Sciences","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129215369","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessment of adaptability and seed yield stability of selected quinoa (Chenopodium quinoa Willd.) genotypes in spring cropping systems in cold and temperate regions of Iran","authors":"M. Bagheri, Z. Anafjeh, M. Taherian, A. Emami, Ali M. Molaie, S. Keshavarz, S. Prof., Khuzestan Agricultural Researcher, Khorasan-e-Razavi Agricultural Prof., West Azarbaijan Agricultural Researcher, Chaharmahal Faculty member, Bakhtiari Agricultural, Seed Researcher","doi":"10.52547/ABJ.22.4.376","DOIUrl":"https://doi.org/10.52547/ABJ.22.4.376","url":null,"abstract":"Bagheri, M., Z. Anafjeh, M. Taherian, A. Emami, A. R. Molaie and S. Keshavarz. 2021. Assessment of adaptability and seed yield stability of selected quinoa (Chenopodium quinoa Willd.) genotypes in spring cropping systems in cold and temperate regions of Iran. Iranian Journal of Crop Sciences. 22(4): 376-387. (In Persian). To study the adaptability and seed yield stability, in this experiment, ten quinoa genotypes including; Red Carina, Titicaca, Giza1, Q12, Q18, Q21, Q22, Q26, Q29, Q29 and Q31 were evaluated using randomized complete block design with three replications in 2017 and 2018 in four locations; Karaj, Shahr-e-Kord, Kashmar and Urmia for their adaptability and grain yield stability. The results showed that quinoa genotypes had significant differences for most of the studied traits. However, genotype × location × year interaction effects on plant height, inflorescence length and days to flowering was not significant. Q26 genotype had the highest grain yield (2007 kg.ha) in Shahr-e-Kord. The lowest yield (338.33 kg.ha) was related to Q21 genotype in Karaj. The results of AMMI stability analysis showed that Q29 genotype had the highedt grain yiled stability with the shortest distance from the center of the graph. Cv. Giza1, cv. Red Carina, Q31 and Q26 genotypes also ranked next in terms of grain yield stability. Also, Q12, Red Carina and Q22 genotypes had specific adaptation in Karaj and Kashmar, and Giza1 and Q18 genotypes showed high specific adaptation in Urmia. In general, the results of this experiment showed that all quinoa genotypes were compatible with spring cultivation in experimental sites.","PeriodicalId":297527,"journal":{"name":"Iranian Society of Crops and Plant Breeding Sciences","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131717115","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluation of adaptability and seed yield stability of soybean (Glycine max L. Merril) promising lines using GGE biplot analysis","authors":"H. Babaei, ,. N. Razmi, S. Raeisi, H. Sabzi","doi":"10.29252/abj.22.2.183","DOIUrl":"https://doi.org/10.29252/abj.22.2.183","url":null,"abstract":"Babaei, H. R., N. Razmi, S. Raeisi and H. Sabzi. 2020. Evaluation of adaptability and seed yield stability of soybean (Glycine max L. Merril) promising lines using GGE biplot analysis. Iranian Journal of Crop Sciences. 22(2): 183-197. (In Persian). Selection of adapted genotypes with high seed yield and yield stability is the goal of soybean breeding programs. To evaluate the adaptability and seed yield stability of soybean promising lines, 19 promising lines and cv. Williams as check were evaluated using randomized complete block design with four replications in four locations: Karaj, Gorgan, Moghan and Khoramabad in Iran during two growing seasons (2013 and 2014). GGE biplot analysis was employed to evaluate the adaptability and seed yield stability. Combined analysis of variance showed thatyear, location, genotype, year × location, year × genotype, location × genotype and genotype × location × year interaction effects were significant on studied traits. The contribution of year, location and genotype variance to total variance was 0.01, 0.60 and 0.02, respectively, indicating considerable contribution of location variance. The first two components of PC1 and PC2 explained overall 58% of total observed variation of genotype and genotype × environment (G + GE). In this study, three mega-environments were identified. The first mega-environment included: E2 (Karaj 2014), E5 (Moghan 2013) and E8 (Gorgan 2014) and G16 was the superior genotype in this mega-environment. The second mega-environment included: E3 (Khorramabad 2013) and E4 (Khorramabad 2014) and G8 was the superior genotype in this mega-environment. Third megaenvironment consisted: E1 (Karaj 2013) and E7 (Gorgan 2013) and G17 was the superior genotype in this megaenvironment. Biplot analysis showed that genotypes: G17 (L85-3059) with 2702 kg.ha and G16 (L12/Chaleston × Mustang) with 2750 kg.ha were highly adapted genotypes with high seed yield and yield stability. The E7 environment (Gorgan, 2013) was the most desirable environment in respect to its discriminating ability among soybean genotypes and the best representative of the target environments.","PeriodicalId":297527,"journal":{"name":"Iranian Society of Crops and Plant Breeding Sciences","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126357469","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Participatory breeding, an approach for sustainable production \u0000of new rice cultivars in Iran","authors":"M. Allahgholipour, Maryam Hossienichaleshtari","doi":"10.29252/abj.22.2.108","DOIUrl":"https://doi.org/10.29252/abj.22.2.108","url":null,"abstract":"Allahgholipour, M. and M. Hossieni Chleshtori. 2020. Participatory breeding, an approach for sustainable production of new rice cultivars in Iran. Iranian Journal of Crop Sciences. 22(2): 108-124. (In Persian). Over the past 50 years, thousands of rice varieties have been introduced by plant breeders to agricultural communities all over the world. Despite the improvement of attributes such as grain yield and tolerance to biotic and abiotic stresses, a significant portion of farmers still prefer local varieties over the improved cultivars. The main reasons for this perference are the absence of a direct relationship between farmers and plant breeders, the lack of knowledge about the needs and preference of agricultural societies, the differences in crop growth conditions at agricultural research stations and marginal farmers' fields, and the different agroecological conditions among target agro-ecological regions. In addition, local varieties have high quality and stable grain yield under different conditions and over cropping seasons. Over the past two decades, the concept of participatory plant breeding (PPB) has been developed in collaboration with crop breeders, farmers, traders and consumers to improve the system of introducing new crop varieties. In this approach, there is a direct relationship between farmers/stakeholders and plant breeders. The released cultivars using participatory plant breeding programs, have higher grain yield and dyield stability, and increase farmers’ income. In addition, they enhance genetic diversity and accelrate the adoption process of new cultivars by farmers. Participatory breeding programs in close collaboration with farmers/stakehilders can be very useful, and may cahne the future of conventional breeding programs. Relaesing two new rice improved cultivars (Gilaneh in 2016 and Anam in 2019) with farmers participatory is an example of the rice breeding success story of participatory rice breeding","PeriodicalId":297527,"journal":{"name":"Iranian Society of Crops and Plant Breeding Sciences","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115396019","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluation of genotype × environment interaction in durum wheat \u0000(Triticum turgidum var. durum L.) regional yield trials","authors":"رضا محمدی, بهزاد صادق زاده, ملک مسعود احمدی","doi":"10.29252/abj.22.1.15","DOIUrl":"https://doi.org/10.29252/abj.22.1.15","url":null,"abstract":"Mohammadi, R., B. Sadeghzadeh and M. Masoud Ahmadi 2020. Evaluation of genotype × environment interaction in durum wheat (Triticum turgidum var. durum L.) regional yield trials. Iranian Journal of Crop Sciences. 22(1): 15-31. (In Persian). The objective of this experiment was to analyze genotype × environment (GE) interaction for grain yield of 20 durum wheat genotypes to identify the yield stability and adaptability of genotypes using GGE biplot method as well as some univariate stability statistics. The genotypes were evaluated in three rainfed stations of Sararood (Kermanshah), Maragheh and Shirvan, Iran under both rainfed and supplemental irrigation conditions in three cropping cycles from 2015 to 2018. Combined analysis of variance showed significant differences among the genotypes, environments and GE interaction effects. The environment effect was accounted for the 81.9% followed by GE interaction for 5.2% and genotype for 2.1% of total sum ofsquare (TSS). The large size of the GE interaction variance relative to genotype, suggests the possible existence of sub-environmental groups and genotypes with high grain yield and specific adaptation. Mean grain yield of genotypes across all environments was 2649 kg.ha, and 2212 and 3303 kg.ha under rainfed and supplemental irrigation conditions, respectively. The highest mean yield was observed for breeding line G15 (2622 kg.ha) under rainfed conditions, and G3 (3744 kg.ha) under supplemental irrigation conditions. The GGE biplot analysis could differentiate environments to sub-environmental groups with top yielding genotypes. According to GGE biplot, breeding lines G14, G15, G8, G16 and G11 were identified as ideal genotypes with high mean grain yield and yield stability performance. Based on stability parameters the high yielding breeding line G14 identified to have the most stable grain yiled. The environments belonged to Maragheh location with higher \"discriminativeness and representativeness\" ability was found as ideal location for evaluation of winter durum wheat germplasm. The results also showed genetic gains for high grain yield and yield stability for durum wheat breeding program under cold and temperate cold dryland conditions of Iran.","PeriodicalId":297527,"journal":{"name":"Iranian Society of Crops and Plant Breeding Sciences","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124157892","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluation of gene expression changes of miR156 and miR172 and their targeted genes (AP2 & SPL3; vernalization factors) in two bread wheat (Triticum aestivum L.) cultivars","authors":"Nooshin Ashoori, R. Fotovat, maryam Mortezaefar, Nastaran Mehri","doi":"10.29252/abj.21.4.315","DOIUrl":"https://doi.org/10.29252/abj.21.4.315","url":null,"abstract":"Ashoori, N., R. Fotovat, M. Mortezaefar and N. Mehri. 2020. Evaluation of gene expression changes of miR156 and miR172 and their targeted genes ( AP2 & SPL3 ; vernalization factors) in two bread wheat ( Triticum aestivum L.) cultivars . Iranian Journal of Crop Sciences. 21(4): 315-327. (In Persian). Floral transition through vernalization has a large influence on cold tolerance and agronomic traits in winter cereals. It is now apparent that in many plants small RNAs play critical roles in determination of the flowering time. There is evidence suggesting that the miR156 and miR172 families play a key role in the flowering transition of plants. In this study, the expression of two temporally regulated miRNA ( miR156 and miR172 ) and their targeted genes ( SPL3 , AP2 ) were investigated in the winter bread wheat cv. Norstar and the spring bread wheat cv. Baj in 2017-2018 cropping season. The vernalization was exposed to the cold treatments (4°C) for 2 and 14 days at seedling stage. Time to flowering was estimated using the final leaf number (FLN), which significantly decreased under vernalization treatments, only in winter cultivar 'Norstar'. Moreover, analysis of variance showed that vernalization treatments × cultivarsv interaction effect was significant on FLN. Comparison of gene expression using bootstrapping method showed that the expression of miR172 was significantly down-regulated only in Norstar under vernalization treatments. Similarly, the expression of miR156 was completely different under vernalization treatment in two cultivars. Increased expression of miR156 in Baj cultivar was not significant, but vernalization treatment significantly decreased the expression of this gene in cv. Norstar. Although the induction of AP2 expression during vernalization (14 days) was observed in both cultivars, but, the expression levels of SPL3 were only significantly decreased in cv. Norstar, and this reduction was more in two-day vernalization. Unexpectedly, in this experiment, there was no relationship between up-regulation of both miRNA and down-regulation of their targeted genes in two bread wheat cultivars. These results demonstrated that molecular mechanism of flowering time in bread wheat is complex and still largely unknown.","PeriodicalId":297527,"journal":{"name":"Iranian Society of Crops and Plant Breeding Sciences","volume":"126 26","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133085677","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluation of growth and seed yield of new winter oilseed rape (Brassica napus L.) genotypes under terminal drought stress conditions","authors":"A. Rezaizad, A. Z. Siahbidi, A. S. Rad","doi":"10.29252/abj.21.4.328","DOIUrl":"https://doi.org/10.29252/abj.21.4.328","url":null,"abstract":". Monajem, S., V. Mohammadi and A. Ahmadi. 2012. Evaluation of drought tolerance in some rapeseed Cultivars based on stress evaluation indices. J. Crop Prod. 4 (1): 151-169. (In Persian with English abstract). Naderi, A., I. Majidi-Hervan, A. Hashemi Dezfouli, A. Rezaei and Gh. Nourmohammadi. 2000. Efficiency analysis of indices for tolerance to environmental stresses in field crops and introduction of new index. Seed Plant J. 15(4): 390-402. (In Persian with English abstract). Pantuwan, G., S. Fukia, M. Cooper, S. Rajatasereekul and J. C. OToole. 2002. Yield response of rice (Oryza Sativa L.) genotypes to drought under rainfed lowlands. 2. Selection of drought resistance genotypes. Field Crops Res. 73: 169-180. Rashidi, F., M. M. Majidib and M. Pirboveiryc. 2017. Response of different species of Brassica to water deficit. Int. J. Plant Prod. 11 (1): 1-16. Rashidifar, J., H. Dehghani and B. Alizadeh. 2012. Evaluation of drought tolerance in some of winter canola cultivars. Iran. J. Field Crops Res. 20 (2): 456-467. (In Persian with English abstract). Richard, R. A. 1978. Variation between and within species of rapeseed (Brassica compestris and B. napus) in response to drought stress. Aust. J. Agric. Res. 29: 491-501. Richard, R. A. and N. Thrling. 1978. Variation between and within species of rapeseed (Brassica compestris and B. napus) in response to drought stress. II. Growth and development under natural drought stress. Aust. J. Agric. Res. 29: 479-490. Rosielle, A. A. and J. Hamblin. 1981. Theoretical aspects of selection for yield in stress and non-stress environments. Crop Sci. 21: 943-946. Shampolivier, L. and A. Merrien. 1996. Effects of water stress applied at different growth stages to Brassica napus l. Var Olieifera on yield, yield components and seed quality. Europ. J. Agron. 5: 153-160. Shirani Rad, A. H. and M. Zandi. 2012. The effect of drought stress on qualitative and quantitative traits of spring rapeseed (Brassica napus L.) cultivars. Agriculture. 99 (1): 47–54. Sinaki, J. M., I. Majidi Heravan, A. H. Shirani Rad, G. Noormohamadi and G. Zarei. 2007. The effects of water deficit during growth stages of canola (B. napus L). American-Eurasian J. Agric. Environ. Sci. 2(4):","PeriodicalId":297527,"journal":{"name":"Iranian Society of Crops and Plant Breeding Sciences","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125753709","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Estimation of phenological parameters in SSM-Wheat model for bread wheat (Triticum aestivum L.) genotypes in Golestan province of Iran","authors":"Mohammad Panahi, A. Soltani, E. Zeynali, Mahdi Kalateh Arabi, A. Nehbandani","doi":"10.29252/abj.21.4.302","DOIUrl":"https://doi.org/10.29252/abj.21.4.302","url":null,"abstract":"Panahi, M. H., A. Soltani, E. Zeinali, M. Kalateh Arabi and A. R. Nehbandani. 2020. Estimation of phenological parameters in SSM-Wheat model for bread wheat (Triticum aestivum L.) genotypes in Golestan province of Iran. Iranian Journal of Crop Sciences. 21(4): 302-314. (In Persian). To estimate required parameters of phenology sub-model in SSM-Wheat model (cardinal temperatures, critical photoperiods and photoperiod sensitivity coefficient) and to determine of the biological day for eight bread wheat genotypes (Morvarid, Tajan, Kohdasht, Darya, Gonbad, Arta, N-87-20 and N-87-19) in Golestan province of Iran in 12 sowing dates, an experiment was carried out using randomized complete block design with four replications during 2012 and 2013 cropping cycles. Beta-quadratic model was used to explain the relation of stem elongation rate of the wheat genotypes in response to temperature and photoperiod. The bread wheat genotypes did not have significant differences in critical photoperiod and cardinal temperature. However, they were significantly differ for biological day and photoperiod sensitive coefficient. Therefore, cardinal temperatures including; base, optimum and ceiling temperatures were used in 0, 28 and 40 °C, respectively, for all of genotypes in the model. In addition, the critical photoperiod fixed on 21 hours in this model. Coefficient of sensitivity to photoperiod varied from0.00272 to 0.0091 for genotypes. The bread wheat genotypes did not show significant differences in terms of biological days (bd) in phenological stages including; sowing to emergence (6.2 bd), tillering to stem elongation (7.9 bd), booting to heading (3.4 bd), heading to anthesis (6.4 bd) and physiological maturity to harvest maturity (6.8 bd). However, significant differences observed in phenological stages emergence to tillering (6.5-8.8 bd), stem elongation to booting (4.7-5.9 bd) and anthesis to physiological maturity (21.1-24.8 bd) among genotypes. Model evaluation indicated that root mean square error for biological days to anthesis and days to physiological maturity was 7.7 (with coefficient of variation 10.3%) and 1.7 (with coefficient of variation 2.5%), respectively. Therefore, parameters of cardinal temperatures, critical photoperiods, photoperiod sensitivity coefficient and biological day were estimated reasonably for bread wheat genotypes of Golestan province.","PeriodicalId":297527,"journal":{"name":"Iranian Society of Crops and Plant Breeding Sciences","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134307178","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effect of deficit irrigation and nitrogen fertilizer source on earyield, nitrogen use efficiency and water productivity in sweet corn (Zea mays L. cv. Saccharata)","authors":"N. Farid, S. A. Siadat, M. Ghalamboran, M. R. Moradi Telavat","doi":"10.29252/abj.21.4.386","DOIUrl":"https://doi.org/10.29252/abj.21.4.386","url":null,"abstract":". Kelly, A., P. Nelson, P., Motavalli and N. Manjula. 2014. Nitrogen fertilizer sources and application timing affects wheat and inter-seeded red clover yields on claypan soils. Agronomy, 4: 497-513. Mansouri-Far, C., S. A. M. Modarres Sanavy and S. F. Saberali. 2010. Maize yield response to deficit irrigation during low sensitive growth stages and nitrogen rate under semi-arid climatic conditions. Agric. Water Manage. 97: 12-22. Moser, S. B., B. Feil., S. Jampatong and P. Stamp. 2006. Effects of pre-anthesis drought, nitrogen fertilizer rate and variety on grain yield, yield components and harvest index of tropical maize. Agric. Water Manage. 81: 41-58. Nelson, K. A., P. C. Scharf and L. G. Bundy. 2008. Agricultural management of enhanced-efficiency fertilizers in the north-central United States. Available at www.plantmanagementnetwork.org/cm/. Crop Manage. Ning, T. Y., G. Q. Shao, Z. J. Li, H. F. Han, H. G. Hu, Y. Wang and S. Y. Chi. 2012. Effects of urea types and irrigation on crop uptake, soil residual and loss of nitrogen in maize field on the North China Plain. Plant Soil Environ. 58: 1-8. Poshtdar, A., A. R. Abdali Mashhadie, F. Moradi, S. A. Siadat and A. Bakhshandeh. 2016. Effect of source and rate of nitrogen fertilizer on yield and water and nitrogen use efficiency of peppermint (Mentha piperita L.). Iran. J. Crop Sci. 18(1): 13-31. (In Persian with English abstract). Pinpeangchan, S. and C. Wanapu. 2015. Impact of nitrogen fertilizer (Encapsulated Urea Fertilizer) in process of controlled-release their effect on growth of Chinese Kale (Brassica alboglabra Bailey). Global Adv. Res. J. Agric. Sci. 4(4): 173-181. Rego, T. J., N. J. Grundon, C. J. Asher and D. G. Edwards. 1988. Comparison of the effects of continuous D ow nl oa de d fr om a gr ob re ed jo ur na l.i r at 3 :1 6 + 04 30 o n S un da y M ar ch 2 9t h 20 20 \" هلجم ناریا یعارز مولع \" ، هرامش ،مکی و تسیب دلج 4 ناتسمز ، 1398 ٣٩٧ and relieved water stress on nitrogen nutrition of grain sorghum. Aust. J. Agric. Res. 39: 773–782. Sampson, T., C. J. Ogugbue and G. C. Okpokwasili. 2016. Production and application of agar-based slow release fertilizers, in the bioremediation of petroleum hydrocarbon-impacted Soil. British Biotechnol. J.","PeriodicalId":297527,"journal":{"name":"Iranian Society of Crops and Plant Breeding Sciences","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121387970","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}