Yield and Qualitative Traits of Sesame as Affected by Irrigation Interval, N Fertilizer and Superabsorbent

In order to study the effect of irrigation interval, N fertilizer and superabsorbent on yield and qualitative traits of sesame (Sesamum indicum L.), a split-split-plot experiment was coducted in a farm in Khusf of Birjand, Iran in 2009 on the basis of a Randomized Complete Block Design. The main plot was devoted to irrigation interval at three levels of 6, 12 and 18 days, the sub-plot was devoted to N fertilization rate at three levels of 0, 100 and 200 kg ha-1 and the sub-sub-plot was devoted to superabsorbent at two levels of 0 and 200 kg ha-1. It was found that the effect of irrigation interval was significant on seed yield, oil percentage, protein percentage, seed N percentage, oil yield and protein yield, so that the increase in    irrigation interval from 6 to 18 days resulted in significant loss of seed yield, oil yield and protein yield by 44.5, 44.5 and 39.7%, respectively. Different N fertilization rates significantly influenced seed yield, oil yield and protein yield, but its effect was not significant on seed oil percentage, protein percentage and N percentage, so that the increase in N level from 0 to 200 kg ha-1 significantly increased seed yield, oil yield and protein yield by 25.6, 28.3 and 25.1%, respectively. According to the results, it is recommended to use the irrigation interval of 6 days with the treatment of 200 kg N ha-1 in order to realize optimum yield of sesame in Birjand, Iran

The global, regional, and national burden of oesophageal cancer and its attributable risk factors in 195 countries and territories, 1990-2017: A systematic analysis for the global burden of disease study 2017

© 2020 The Author(s). Background Oesophageal cancer is a common and often fatal cancer that has two main histological subtypes: oesophageal squamous cell carcinoma and oesophageal adenocarcinoma. Updated statistics on the incidence and mortality of oesophageal cancer, and on the disability-adjusted life-years (DALYs) caused by the disease, can assist policy makers in allocating resources for prevention, treatment, and care of oesophageal cancer. We report the latest estimates of these statistics for 195 countries and territories between 1990 and 2017, by age, sex, and Socio-demographic Index (SDI), using data from the Global Burden of Diseases, Injuries, and Risk Factors Study 2017 (GBD). Methods We used data from vital registration systems, vital registration-samples, verbal autopsy records, and cancer registries, combined with relevant modelling, to estimate the mortality, incidence, and burden of oesophageal cancer from 1990 to 2017. Mortality-to-incidence ratios (MIRs) were estimated and fed into a Cause of Death Ensemble model (CODEm) including risk factors. MIRs were used for mortality and non-fatal modelling. Estimates of DALYs attributable to the main risk factors of oesophageal cancer available in GBD were also calculated. The proportion of oesophageal squamous cell carcinoma to all oesophageal cancers was extracted by use of publicly available data, and its variation was examined against SDI, the Healthcare Access and Quality (HAQ) Index, and available risk factors in GBD that are specific for oesophageal squamous cell carcinoma (eg, unimproved water source and indoor air pollution) and for oesophageal adenocarcinoma (gastro-oesophageal reflux disease). Findings There were 473 000 (95% uncertainty interval [95% UI] 459 000-485 000) new cases of oesophageal cancer and 436 000 (425 000-448 000) deaths due to oesophageal cancer in 2017. Age-standardised incidence was 5.9 (5.7-6.1) per 100 000 population and age-standardised mortality was 5.5 (5.3-5.6) per 100 000. Oesophageal cancer caused 9.78 million (9.53-10.03) DALYs, with an age-standardised rate of 120 (117-123) per 100 000 population. Between 1990 and 2017, age-standardised incidence decreased by 22.0% (18.6-25.2), mortality decreased by 29.0% (25.8-32.0), and DALYs decreased by 33.4% (30.4-36.1) globally. However, as a result of population growth and ageing, the total number of new cases increased by 52.3% (45.9-58.9), from 310 000 (300 000-322 000) to 473 000 (459 000-485 000); the number of deaths increased by 40.0% (34.1-46.3), from 311 000 (301 000-323 000) to 436 000 (425 000-448 000); and total DALYs increased by 27.4% (22.1-33.1), from 7.68 million (7.42-7.97) to 9.78 million (9.53-10.03). At the national level, China had the highest number of incident cases (235 000 [223 000-246 000]), deaths (213 000 [203 000-223 000]), and DALYs (4.46 million [4.25-4.69]) in 2017. The highest national-level agestandardised incidence rates in 2017 were observed in Malawi (23.0 [19.4-26.5] per 100 000 population) and Mongolia (18.5 [16.4-20.8] per 100 000). In 2017, age-standardised incidence was 2.7 times higher, mortality 2.9 times higher, and DALYs 3.0 times higher in males than in females. In 2017, a substantial proportion of oesophageal cancer DALYs were attributable to known risk factors: tobacco smoking (39.0% [35.5-42.2]), alcohol consumption (33.8% [27.3-39.9]), high BMI (19.5% [6.3-36.0]), a diet low in fruits (19.1% [4.2-34.6]), and use of chewing tobacco (7.5% [5.2-9.6]). Countries with a low SDI and HAQ Index and high levels of indoor air pollution had a higher proportion of oesophageal squamous cell carcinoma to all oesophageal cancer cases than did countries with a high SDI and HAQ Index and with low levels of indoor air pollution. Interpretation Despite reductions in age-standardised incidence and mortality rates, oesophageal cancer remains a major cause of cancer mortality and burden across the world. Oesophageal cancer is a highly fatal disease, requiring increased primary prevention efforts and, possibly, screening in some high-risk areas. Substantial variation exists in age-standardised incidence rates across regions and countries, for reasons that are unclear

The global burden of cancer attributable to risk factors, 2010-19 : a systematic analysis for the Global Burden of Disease Study 2019

Background Understanding the magnitude of cancer burden attributable to potentially modifiable risk factors is crucial for development of effective prevention and mitigation strategies. We analysed results from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 to inform cancer control planning efforts globally. Methods The GBD 2019 comparative risk assessment framework was used to estimate cancer burden attributable to behavioural, environmental and occupational, and metabolic risk factors. A total of 82 risk-outcome pairs were included on the basis of the World Cancer Research Fund criteria. Estimated cancer deaths and disability-adjusted life-years (DALYs) in 2019 and change in these measures between 2010 and 2019 are presented. Findings Globally, in 2019, the risk factors included in this analysis accounted for 4.45 million (95% uncertainty interval 4.01-4.94) deaths and 105 million (95.0-116) DALYs for both sexes combined, representing 44.4% (41.3-48.4) of all cancer deaths and 42.0% (39.1-45.6) of all DALYs. There were 2.88 million (2.60-3.18) risk-attributable cancer deaths in males (50.6% [47.8-54.1] of all male cancer deaths) and 1.58 million (1.36-1.84) risk-attributable cancer deaths in females (36.3% [32.5-41.3] of all female cancer deaths). The leading risk factors at the most detailed level globally for risk-attributable cancer deaths and DALYs in 2019 for both sexes combined were smoking, followed by alcohol use and high BMI. Risk-attributable cancer burden varied by world region and Socio-demographic Index (SDI), with smoking, unsafe sex, and alcohol use being the three leading risk factors for risk-attributable cancer DALYs in low SDI locations in 2019, whereas DALYs in high SDI locations mirrored the top three global risk factor rankings. From 2010 to 2019, global risk-attributable cancer deaths increased by 20.4% (12.6-28.4) and DALYs by 16.8% (8.8-25.0), with the greatest percentage increase in metabolic risks (34.7% [27.9-42.8] and 33.3% [25.8-42.0]). Interpretation The leading risk factors contributing to global cancer burden in 2019 were behavioural, whereas metabolic risk factors saw the largest increases between 2010 and 2019. Reducing exposure to these modifiable risk factors would decrease cancer mortality and DALY rates worldwide, and policies should be tailored appropriately to local cancer risk factor burden. Copyright (C) 2022 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license.Peer reviewe

Cancer Incidence, Mortality, Years of Life Lost, Years Lived With Disability, and Disability-Adjusted Life Years for 29 Cancer Groups From 2010 to 2019: A Systematic Analysis for the Global Burden of Disease Study 2019.

The Global Burden of Diseases, Injuries, and Risk Factors Study 2019 (GBD 2019) provided systematic estimates of incidence, morbidity, and mortality to inform local and international efforts toward reducing cancer burden. To estimate cancer burden and trends globally for 204 countries and territories and by Sociodemographic Index (SDI) quintiles from 2010 to 2019. The GBD 2019 estimation methods were used to describe cancer incidence, mortality, years lived with disability, years of life lost, and disability-adjusted life years (DALYs) in 2019 and over the past decade. Estimates are also provided by quintiles of the SDI, a composite measure of educational attainment, income per capita, and total fertility rate for those younger than 25 years. Estimates include 95% uncertainty intervals (UIs). In 2019, there were an estimated 23.6 million (95% UI, 22.2-24.9 million) new cancer cases (17.2 million when excluding nonmelanoma skin cancer) and 10.0 million (95% UI, 9.36-10.6 million) cancer deaths globally, with an estimated 250 million (235-264 million) DALYs due to cancer. Since 2010, these represented a 26.3% (95% UI, 20.3%-32.3%) increase in new cases, a 20.9% (95% UI, 14.2%-27.6%) increase in deaths, and a 16.0% (95% UI, 9.3%-22.8%) increase in DALYs. Among 22 groups of diseases and injuries in the GBD 2019 study, cancer was second only to cardiovascular diseases for the number of deaths, years of life lost, and DALYs globally in 2019. Cancer burden differed across SDI quintiles. The proportion of years lived with disability that contributed to DALYs increased with SDI, ranging from 1.4% (1.1%-1.8%) in the low SDI quintile to 5.7% (4.2%-7.1%) in the high SDI quintile. While the high SDI quintile had the highest number of new cases in 2019, the middle SDI quintile had the highest number of cancer deaths and DALYs. From 2010 to 2019, the largest percentage increase in the numbers of cases and deaths occurred in the low and low-middle SDI quintiles. The results of this systematic analysis suggest that the global burden of cancer is substantial and growing, with burden differing by SDI. These results provide comprehensive and comparable estimates that can potentially inform efforts toward equitable cancer control around the world.Funding/Support: The Institute for Health Metrics and Evaluation received funding from the Bill & Melinda Gates Foundation and the American Lebanese Syrian Associated Charities. Dr Aljunid acknowledges the Department of Health Policy and Management of Kuwait University and the International Centre for Casemix and Clinical Coding, National University of Malaysia for the approval and support to participate in this research project. Dr Bhaskar acknowledges institutional support from the NSW Ministry of Health and NSW Health Pathology. Dr Bärnighausen was supported by the Alexander von Humboldt Foundation through the Alexander von Humboldt Professor award, which is funded by the German Federal Ministry of Education and Research. Dr Braithwaite acknowledges funding from the National Institutes of Health/ National Cancer Institute. Dr Conde acknowledges financial support from the European Research Council ERC Starting Grant agreement No 848325. Dr Costa acknowledges her grant (SFRH/BHD/110001/2015), received by Portuguese national funds through Fundação para a Ciência e Tecnologia, IP under the Norma Transitória grant DL57/2016/CP1334/CT0006. Dr Ghith acknowledges support from a grant from Novo Nordisk Foundation (NNF16OC0021856). Dr Glasbey is supported by a National Institute of Health Research Doctoral Research Fellowship. Dr Vivek Kumar Gupta acknowledges funding support from National Health and Medical Research Council Australia. Dr Haque thanks Jazan University, Saudi Arabia for providing access to the Saudi Digital Library for this research study. Drs Herteliu, Pana, and Ausloos are partially supported by a grant of the Romanian National Authority for Scientific Research and Innovation, CNDS-UEFISCDI, project number PN-III-P4-ID-PCCF-2016-0084. Dr Hugo received support from the Higher Education Improvement Coordination of the Brazilian Ministry of Education for a sabbatical period at the Institute for Health Metrics and Evaluation, between September 2019 and August 2020. Dr Sheikh Mohammed Shariful Islam acknowledges funding by a National Heart Foundation of Australia Fellowship and National Health and Medical Research Council Emerging Leadership Fellowship. Dr Jakovljevic acknowledges support through grant OI 175014 of the Ministry of Education Science and Technological Development of the Republic of Serbia. Dr Katikireddi acknowledges funding from a NHS Research Scotland Senior Clinical Fellowship (SCAF/15/02), the Medical Research Council (MC_UU_00022/2), and the Scottish Government Chief Scientist Office (SPHSU17). Dr Md Nuruzzaman Khan acknowledges the support of Jatiya Kabi Kazi Nazrul Islam University, Bangladesh. Dr Yun Jin Kim was supported by the Research Management Centre, Xiamen University Malaysia (XMUMRF/2020-C6/ITCM/0004). Dr Koulmane Laxminarayana acknowledges institutional support from Manipal Academy of Higher Education. Dr Landires is a member of the Sistema Nacional de Investigación, which is supported by Panama’s Secretaría Nacional de Ciencia, Tecnología e Innovación. Dr Loureiro was supported by national funds through Fundação para a Ciência e Tecnologia under the Scientific Employment Stimulus–Institutional Call (CEECINST/00049/2018). Dr Molokhia is supported by the National Institute for Health Research Biomedical Research Center at Guy’s and St Thomas’ National Health Service Foundation Trust and King’s College London. Dr Moosavi appreciates NIGEB's support. Dr Pati acknowledges support from the SIAN Institute, Association for Biodiversity Conservation & Research. Dr Rakovac acknowledges a grant from the government of the Russian Federation in the context of World Health Organization Noncommunicable Diseases Office. Dr Samy was supported by a fellowship from the Egyptian Fulbright Mission Program. Dr Sheikh acknowledges support from Health Data Research UK. Drs Adithi Shetty and Unnikrishnan acknowledge support given by Kasturba Medical College, Mangalore, Manipal Academy of Higher Education. Dr Pavanchand H. Shetty acknowledges Manipal Academy of Higher Education for their research support. Dr Diego Augusto Santos Silva was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brasil Finance Code 001 and is supported in part by CNPq (302028/2018-8). Dr Zhu acknowledges the Cancer Prevention and Research Institute of Texas grant RP210042

Effect of sowing date and plant density on grain and flower yield of Pot Marigold (Calendula officinalis L.)

Pot marigold (Calendula officinalis L.) is a medicinal herb whose dried flower heads are used to heal wounds. In order to study the effects of sowing dates and plant density on grain and flower yield of pot marigold, an experiment was conducted at Agricultural Research Center of Islamic Azad University, Birjand Branch in 2005. Three sowing dates (30 March, 14 April and 30 April) and three plant densities (plant distances on row were 10, 20 and 30 centimeters) were compared in a split- plot experiment based on a randomized complete block design with 3 replications. Seed and flower yields were significantly different at planting dates and plant densities. Sowing date had significant effects on flower and seed harvest index. The latest sowing dates had the highest flower and seed harvest index. Plant density had not significant effect on flower harvest index, but the effect on seed harvest index, was significant. In total our result showed that the first sowing date with 25 plants/m2 had the highest grain and flower yield. Keywords: Marigold, sowing date, plant density, medicinal plant

The Effect of Weed Interference duration on Agronomical Traits and Yield of Three Safflower Cultivars

Introduction Weed control is an essential part of all crop production systems. Weeds reduce yields by competing with crops for water, nutrients, and sunlight. Weeds also directly reduce profits by hindering harvest operations, lowering crop quality, and producing chemicals which are harmful to crop plants. Results of researches have shown that good weed control within the first four to six weeks after crops are planted is critical in order to avoid a yield reduction by weeds. There are many cultural, mechanical, and chemical methods of weed control which are extremely effective if applied at the correct time. Fields that are kept free of weeds for the first four to six weeks after planting give the crop a "head start" which enables it to shade out or otherwise out compete weeds that emerge later in the season. Materials and Methods In order to study the effect of weeds interference on morphological traits, yield and yield components of three safflower cultivars, as well as weed species density and dry weight , a factorial experiment based on a randomized complete block design with three replications was conducted in factorial at the Agricultural and Natural Resources Center of South Khorasan province during 2012 growing season. Experimental treatments consisted of three safflower cultivars (Goldasht, Padideh and Golsefid) and six weed interferences (control or without weeds throughout the growing season, interference until stem elongation, branching, flowering, end of grain filling period and the end of growing season).. Measuring traits included the number of branches, head diameter, number of head per square meter, number of seed per head, seed weight, seed yield, biomass, oil percentage, and oil yield of safflower. Within weed species were identified, counted, clipped at ground level and oven-dried at 72 °C for 48 hours, then weighed to determine their dry matter. All data were subjected to analysis of variance using SAS statistical software and Duncan's multiple range procedure was employed at probability level of 5%. Results and Discussion Results showed that all measured traits except head diameter, weeds density and dry weight were significantly differed among cultivars. Number of head per square meter, seed and biological yield, oil percentage and oil yield in the Padideh cultivar was higher than two other cultivars whilst its seed yield had no significant difference with Golsefid cultivar. Interference treatments showed a significant effect on head diameter, number of seed per head, seed and biological yield, oil yield, weeds density and dry weight . Safflower seed yield decreased considerably by extending of weeds interference duration so that interference until flowering, end of grain filling period and the end of growing season were obtained 19.3%, 28.3% and 51.4% compared to control (296.37 g m-2), respectively. Also, weed interference until the end of growing season of safflower reduced oil yield in comparison to control by 35.6%. Simple correlation analysis, revealed seed yield was positively correlated with all the traits except seed weight and oil percentage. The highest weed density (98.7 plants per m2) was observed in interference until stem elongation. Also, increasing of interference duration caused decreased weed density per unit area., So that, weeds dry weight per unit area was increased until the end of grain filling stage, despite the decline in weed density. The results of our study demonstrated that extending of weed interference duration until the end of growing season led to reducing of safflower cultivars yield. Also, Padideh cultivar had the highest oil percentage and oil yield, 25.7%and 70.5 g m-2, respectively. Conclusions The study of weed populations and their dry weight per unit area showed that weed dry weight has increased with increasing of weed interference period, in spite of decreasing of their density. The results revealed that the presence of weeds throughout the growing season reduces the yield of safflower cultivars while the level of decline was different in cultivars. Therefore, yield of Padideh cultivar in the presence and absence of weeds was more than two other cultivars. The highest seed yield was recorded from weed control treatments of early growth. In general, weed control in safflower should be done in branching or stem elongation stage

The Response of Coriander (Coriandrum sativum L.) in Different Plant Densities to the Using of Nitrogen Fertilizer

Application of proper rates of nitrogen fertilizer and plant density are important factors for medicinal plants yield. To study the effect of nitrogen rates and plant densities on yield and yield components of coriander, an experiment was carried out in split-plot based on randomized complete block design with three replications at the Research Field of Islamic Azad University of Birjand, Iran, in 2013. The main plots were nitrogen rates with four levels (0, 40, 80 and 120 kg N per ha) and the sub-plots with three levels (30, 40 and 50 plants per m2). The results showed that nitrogen rate had significant effect on number of umbel per plant and per m2, fruit number per umbel, fruit yield, biological yield, fruit weight of single plant, biomass yield of single plant and percent and yield of essential oil. Changes in plant density, also had significant effect on all traits except fruit number per umbel, 1000-fruit weight and percent of essential oil. Moreover, interaction effect between nitrogen rate and plant density affected all traits except umbel number per plant, fruit number per umbel and percent and yield of essential oil. Mean comparisons showed that as N fertilization rate increased from 0 to 80 kg N ha-1, umbel number per m2, fruit yield, biological yield and essential oil yield increased by 62.5, 74.1, 74.3 and 186.8%, respectively. Results also revealed that increasing plant density from 30 to 50 plants per m2, increased these traits by 25.6, 31.4, 21.8 and 37.4%, respectively. The conclusion is that application of 80 kg N ha-1 and use of 50 plants/m2 produced highest fruit and essential oil yield for coriander in Birjand regio

Effect of plant density on growth indices of four grain sorghum cultivars

To study the effect of plant density on growth indices of four grain sorghum cultivars an experiment was conducted as factorial based on Compelete Randomized Block Design with 3 replications at Experimental Field of Birjand Azad University in 2003 growing season. In this study 4 grain sorghum cultivars including Sepideh , Saravan local , Payam and Kimia and 3 plant densities 100000 , 180000 and 260000 plant/ha were investigated. The results showed superiority of Saravan local compare to other cultivars because of having maximum total dry matter, leaf area index, crop growth rate, relative growth rate, and net assimilation rate. The highest amount of leaf area ratio and specific leaf area were in Kimia and Payam cultivars, respectively. All of the above mentioned growth parameters were increased by increasing population denseity with exception of relative growth rate and net assimilation rate. From the obtained results Saravan local cultivar in density of 260000 plant /ha had the highest grain yield. The maximum relative growth rate and net assimilation rate were obtained in lowest density