J. Tokas, N. Kumar, H. Punia, S. Dhankar, Shikha Yashveer, H. Singal, R. Sheokand
{"title":"Response of Antioxidant System to Postharvest Salicylic Acid Treatment in Tomato (Solanum lycopersicum L.) Fruit\u0000 Stored at Ambient Temperature","authors":"J. Tokas, N. Kumar, H. Punia, S. Dhankar, Shikha Yashveer, H. Singal, R. Sheokand","doi":"10.52547/jast.25.1.155","DOIUrl":"https://doi.org/10.52547/jast.25.1.155","url":null,"abstract":"","PeriodicalId":14931,"journal":{"name":"Journal of Agricultural Science and Technology","volume":"38 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86662656","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Climate Change, Food System, and Food Security in Iran","authors":"M. Ghalibaf, M. Gholami, S. A. Ahmadi","doi":"10.52547/jast.25.1.1","DOIUrl":"https://doi.org/10.52547/jast.25.1.1","url":null,"abstract":"","PeriodicalId":14931,"journal":{"name":"Journal of Agricultural Science and Technology","volume":"34 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82795618","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Metagenomic Analysis of Malva sylvestris from Iran Displays a Malva Vein Clearing Virus Genome","authors":"Z. Moradi, M. Mehrvar","doi":"10.52547/jast.25.1.213","DOIUrl":"https://doi.org/10.52547/jast.25.1.213","url":null,"abstract":"","PeriodicalId":14931,"journal":{"name":"Journal of Agricultural Science and Technology","volume":"1 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84801086","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Antiviral Activity of Three Plant Species, Rhus coriaria, Chenopodium quinoa, and Ailanthus altissima against Tobacco Mosaic Virus","authors":"Y. Biniaz, F. Ahmadi, A. Niazi, A. Afsharifar","doi":"10.52547/jast.25.1.199","DOIUrl":"https://doi.org/10.52547/jast.25.1.199","url":null,"abstract":"","PeriodicalId":14931,"journal":{"name":"Journal of Agricultural Science and Technology","volume":"124 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88474351","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Governance of Agricultural Water Management: How Does the EPSI Model Explain Iranian Farmers' Satisfaction? An Experience from Northwestern Iran","authors":"L. Mohammadzadeh, G. Ozerol, Mansour Ghanian","doi":"10.52547/jast.25.1.19","DOIUrl":"https://doi.org/10.52547/jast.25.1.19","url":null,"abstract":"","PeriodicalId":14931,"journal":{"name":"Journal of Agricultural Science and Technology","volume":"84 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83835235","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A New Species of Leptus Bilberg (Acari: Erythraeidae) from Iran","authors":"M. Khoobdel, F. Pakarpour Rayeni","doi":"10.52547/jast.25.1.239","DOIUrl":"https://doi.org/10.52547/jast.25.1.239","url":null,"abstract":"","PeriodicalId":14931,"journal":{"name":"Journal of Agricultural Science and Technology","volume":"6 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84648397","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
China is the largest producer of cotton crop, followed by the United States of America. China's 52% cotton is produced in Xinjiang Region. The agricultural sector depends on the climate, and it is substantially susceptible to future climate changes. Climate factors directly affect cotton production and, therefore, assessing the influence of these factors on the cotton output is imperative. This study empirically investigated the relationship between climate and non-climate variables on Xinjiang Region's cotton production over the last three decades. To this end, an econometric technique was employed and the "Autoregressive Distributed Lag Model" (ARDL) was used to analyze the long-run and short-run relation between the selected variables. Empirical results revealed that a 1% decrease in average temperature, labor force, and rainfall could decrease cotton production by 0.18, 1.94, and 0.18%, respectively, due to the significant negative relation. However, this study depicted 1% rise in average temperature, technological changes, and the cultivated area will increase cotton production by 0.07, 0.05, and 0.23%, respectively. In conclusion, the regional climate changes significantly affect cotton crop. Although the study analyzed the data from XUAR Region, this model can be applied to all developing countries. This research helps the policymakers and the respective government department to introduce, promote, and subsidize environment-friendly production inputs and make the long-term plan for farmers and stakeholders to educate, spread awareness, and help to adopt new skills to gain sustainable regional cotton productivity.
中国是最大的棉花生产国，其次是美国。中国52%的棉花产自新疆地区。农业部门依赖于气候，而且在很大程度上容易受到未来气候变化的影响。气候因素直接影响棉花产量，因此，评估这些因素对棉花产量的影响势在必行。本文对新疆地区近30年棉花生产的气候变量与非气候变量的关系进行了实证研究。为此，采用计量经济学方法，采用“自回归分布滞后模型”(Autoregressive Distributed Lag Model, ARDL)分析所选变量之间的长期和短期关系。实证结果显示，平均气温、劳动力和降雨量每降低1%，棉花产量分别下降0.18%、1.94%和0.18%，呈显著负相关。然而，本研究表明，平均温度升高1%，技术变化和种植面积将分别增加0.07%，0.05和0.23%的棉花产量。综上所述，区域气候变化对棉花产量影响显著。虽然该研究分析了新疆地区的数据，但该模型可以适用于所有发展中国家。本研究有助于政策制定者及相关政府部门引进、推广和补贴环境友好型生产投入，并为农民和利益相关者制定长期计划，以教育、传播意识，并帮助采用新技能，以获得可持续的区域棉花生产力。
{"title":"Impact of Climate Change and Technological Advancement on Cotton Production: Evidence from Xinjiang Region, China","authors":"M. Umer Arshad, Z. Yunfeng, S. Hanif, F. Fatima","doi":"10.52547/jast.24.6.1519","DOIUrl":"https://doi.org/10.52547/jast.24.6.1519","url":null,"abstract":"China is the largest producer of cotton crop, followed by the United States of America. China's 52% cotton is produced in Xinjiang Region. The agricultural sector depends on the climate, and it is substantially susceptible to future climate changes. Climate factors directly affect cotton production and, therefore, assessing the influence of these factors on the cotton output is imperative. This study empirically investigated the relationship between climate and non-climate variables on Xinjiang Region's cotton production over the last three decades. To this end, an econometric technique was employed and the \"Autoregressive Distributed Lag Model\" (ARDL) was used to analyze the long-run and short-run relation between the selected variables. Empirical results revealed that a 1% decrease in average temperature, labor force, and rainfall could decrease cotton production by 0.18, 1.94, and 0.18%, respectively, due to the significant negative relation. However, this study depicted 1% rise in average temperature, technological changes, and the cultivated area will increase cotton production by 0.07, 0.05, and 0.23%, respectively. In conclusion, the regional climate changes significantly affect cotton crop. Although the study analyzed the data from XUAR Region, this model can be applied to all developing countries. This research helps the policymakers and the respective government department to introduce, promote, and subsidize environment-friendly production inputs and make the long-term plan for farmers and stakeholders to educate, spread awareness, and help to adopt new skills to gain sustainable regional cotton productivity.","PeriodicalId":14931,"journal":{"name":"Journal of Agricultural Science and Technology","volume":"17 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79414684","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Introducing new melon types able to endure cold storage and cold transportation is among the major goals of breeders. Therefore, providing a better understanding of the fruit physiological traits and postharvest associated genes expression can help to select the superior type for cold storage condition. This experiment was carried out to investigate the postharvest behavior of various melon lines and their F1 breeds based on fruit characteristics and their relation to the expression of CMe-ACS1, CM-ETR1 and CM-ETR2 genes during cold storage. For this purpose, six melon inbred lines were cross-pollinated to form a full diallel F1 population. Thus, the studied population constituted 6 parental lines, 15 direct hybrids, and 15 reciprocal F1 hybrids. After fruits harvest and during one month of storage, fruits firmness loss, color changes, and weight loss were evaluated. A significant positive correlation coefficient was found between CMe-ACS1 gene expression and ACC content with two distinct clusters based on this relation. Gene expression profiles referred to the presence of gradual and continuous senescence behaviors in the studied types, which was reflected in their physiological postharvest performance. G1 cluster types expressed the studied receptor genes at lower rates compared to the other groups. The G1 corresponded with P3 and P4 groups that were characterized by low physiological changes and thus better postharvest performance during cold storage. This result highlights the importance of Persian inodorus melons, generally, and the line ‘Khatouni’, specifically, in melon breeding programs for postharvest purposes.
{"title":"Expression of CMe-ACS1 and Ethylene Receptor Genes in Melon F1 Progenies under Cold Storage Condition","authors":"M. Alabboud, F. Soltani, S. Kalantari","doi":"10.52547/jast.24.6.1443","DOIUrl":"https://doi.org/10.52547/jast.24.6.1443","url":null,"abstract":"Introducing new melon types able to endure cold storage and cold transportation is among the major goals of breeders. Therefore, providing a better understanding of the fruit physiological traits and postharvest associated genes expression can help to select the superior type for cold storage condition. This experiment was carried out to investigate the postharvest behavior of various melon lines and their F1 breeds based on fruit characteristics and their relation to the expression of CMe-ACS1, CM-ETR1 and CM-ETR2 genes during cold storage. For this purpose, six melon inbred lines were cross-pollinated to form a full diallel F1 population. Thus, the studied population constituted 6 parental lines, 15 direct hybrids, and 15 reciprocal F1 hybrids. After fruits harvest and during one month of storage, fruits firmness loss, color changes, and weight loss were evaluated. A significant positive correlation coefficient was found between CMe-ACS1 gene expression and ACC content with two distinct clusters based on this relation. Gene expression profiles referred to the presence of gradual and continuous senescence behaviors in the studied types, which was reflected in their physiological postharvest performance. G1 cluster types expressed the studied receptor genes at lower rates compared to the other groups. The G1 corresponded with P3 and P4 groups that were characterized by low physiological changes and thus better postharvest performance during cold storage. This result highlights the importance of Persian inodorus melons, generally, and the line ‘Khatouni’, specifically, in melon breeding programs for postharvest purposes.","PeriodicalId":14931,"journal":{"name":"Journal of Agricultural Science and Technology","volume":"189 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77948741","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
S. Salavati, H. Ghobari, A. Sadeghi, A. Bayram, M. Maroufpoor
Potato Tuber Moth (PTM), Phthorimaea operculella (Zeller), is one of the most destructive pests of potatoes under field and storage conditions. Exploiting plant resistance may help control the pest in an eco-friendly manner. Therefore, the present study aimed to assess the resistance status of six common potato cultivars (Banba, Bellini, Draga, Marfona, Jelly, and Milva) under laboratory conditions (25±1°C, 65±5% RH and 14:10 (L: D) hours photoperiod). Life history and demographic parameters of P. operculella under laboratory conditions were analyzed based on the age-stage, two-sex life table theory, which could be appropriate indices in resistance and susceptibility evaluation of potato cultivars. Pre-adult development was slower on Marfona and faster on Banba (19.91 and 21.93 days, respectively) compared to the other cultivars. The longest oviposition days was found on Jelly (8.20 days), while the shortest (5.43 days) was on Bellini. The maximum values of r and λ were found on Marfona ( r = 0.160 d -1 , λ = 1.173 d -1 ), whereas the minimum values were recorded on Draga ( r = 0.092 d -1 , λ = 1.096 d -1 ). According to the findings of the present study, Draga was considered resistant and a less favorable host plant for the development and reproduction of PTM. These demographic data may be used to better understand the population dynamics of the pest on the six potato cultivars tested, thereby inevitably improve efficient pest management approaches for PTM in both organic and conventional production systems. tuber moth.
马铃薯块茎蛾(马铃薯块茎蛾，Phthorimaea operculella, Zeller)是马铃薯田间和贮藏条件下最具破坏性的害虫之一。利用植物的抗性可能有助于以生态友好的方式控制害虫。本研究以Banba、Bellini、Draga、Marfona、Jelly和Milva 6个常见马铃薯品种为研究对象，在25±1°C、65±5% RH和14:10 (L: D) h光周期条件下进行抗性鉴定。根据年龄期、两性生命表理论，分析了实验室条件下覆皮假单胞菌的生活史和种群统计参数，为马铃薯品种的抗性和敏感性评价提供了适宜的指标。与其他品种相比，玛福纳的成虫前期发育较慢，半巴的成虫前期发育较快(分别为19.91和21.93 d)。卵龄最长的品种为Jelly，为8.20 d，最短的品种为Bellini，为5.43 d。r和λ在Marfona上最大(r = 0.160 d -1， λ = 1.173 d -1)，在Draga上最小(r = 0.092 d -1， λ = 1.096 d -1)。根据本研究结果，Draga被认为是抗性的，并且是PTM发育和繁殖的不利寄主植物。这些人口统计数据可用于更好地了解6个试验马铃薯品种的害虫种群动态，从而不可避免地改进有机和传统生产系统中PTM的有效虫害管理方法。块茎蛾。
{"title":"Demographic Comparison of Phthorimaea operculella (Zeller) (Lepidoptera: Gelechiidae) Reared on Different Potato Cultivars","authors":"S. Salavati, H. Ghobari, A. Sadeghi, A. Bayram, M. Maroufpoor","doi":"10.52547/jast.24.6.1369","DOIUrl":"https://doi.org/10.52547/jast.24.6.1369","url":null,"abstract":"Potato Tuber Moth (PTM), Phthorimaea operculella (Zeller), is one of the most destructive pests of potatoes under field and storage conditions. Exploiting plant resistance may help control the pest in an eco-friendly manner. Therefore, the present study aimed to assess the resistance status of six common potato cultivars (Banba, Bellini, Draga, Marfona, Jelly, and Milva) under laboratory conditions (25±1°C, 65±5% RH and 14:10 (L: D) hours photoperiod). Life history and demographic parameters of P. operculella under laboratory conditions were analyzed based on the age-stage, two-sex life table theory, which could be appropriate indices in resistance and susceptibility evaluation of potato cultivars. Pre-adult development was slower on Marfona and faster on Banba (19.91 and 21.93 days, respectively) compared to the other cultivars. The longest oviposition days was found on Jelly (8.20 days), while the shortest (5.43 days) was on Bellini. The maximum values of r and λ were found on Marfona ( r = 0.160 d -1 , λ = 1.173 d -1 ), whereas the minimum values were recorded on Draga ( r = 0.092 d -1 , λ = 1.096 d -1 ). According to the findings of the present study, Draga was considered resistant and a less favorable host plant for the development and reproduction of PTM. These demographic data may be used to better understand the population dynamics of the pest on the six potato cultivars tested, thereby inevitably improve efficient pest management approaches for PTM in both organic and conventional production systems. tuber moth.","PeriodicalId":14931,"journal":{"name":"Journal of Agricultural Science and Technology","volume":"36 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86772256","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Azadfar, F. Lashgarara, S. J. Farajollah Hosseini, M. Omidi Najafabadi, H. Afshari
In recent years, nanotechnology has been increasingly used in the food industry, especially to increase the food security. Nanotechnology provides the grounds to understand the food components on a small scale in the food industry. The present study aimed at analyzing the application of nanotechnology to improve the food security. The study sample included all experts (N= 90) of Iran's Nanotechnology Innovation Council selected by a census. This study used a descriptive-survey method. A questionnaire was developed based on the study’s theoretical framework and used for data collection. The validity (content and face) and reliability (factor loading, coefficient of composite reliability, and Cronbach’s Alpha coefficient) of the questionnaire were confirmed. The results of testing the hypotheses using Smart PLS, i.e., t-test and path coefficients (β), showed that the food packaging mechanisms directly and significantly affected food security improvement through using nanotechnology. The findings also displayed that the food preservation, processing, and production mechanisms influenced food security improvement through using nanotechnology. By using nanotechnology, the results indicated a direct relationship between foods' taste and color improvement as well as food safety and health improvement.
{"title":"Using Nanotechnology in Food Production: Ensuring Food Security Development in Iran","authors":"M. Azadfar, F. Lashgarara, S. J. Farajollah Hosseini, M. Omidi Najafabadi, H. Afshari","doi":"10.52547/jast.24.6.1331","DOIUrl":"https://doi.org/10.52547/jast.24.6.1331","url":null,"abstract":"In recent years, nanotechnology has been increasingly used in the food industry, especially to increase the food security. Nanotechnology provides the grounds to understand the food components on a small scale in the food industry. The present study aimed at analyzing the application of nanotechnology to improve the food security. The study sample included all experts (N= 90) of Iran's Nanotechnology Innovation Council selected by a census. This study used a descriptive-survey method. A questionnaire was developed based on the study’s theoretical framework and used for data collection. The validity (content and face) and reliability (factor loading, coefficient of composite reliability, and Cronbach’s Alpha coefficient) of the questionnaire were confirmed. The results of testing the hypotheses using Smart PLS, i.e., t-test and path coefficients (β), showed that the food packaging mechanisms directly and significantly affected food security improvement through using nanotechnology. The findings also displayed that the food preservation, processing, and production mechanisms influenced food security improvement through using nanotechnology. By using nanotechnology, the results indicated a direct relationship between foods' taste and color improvement as well as food safety and health improvement.","PeriodicalId":14931,"journal":{"name":"Journal of Agricultural Science and Technology","volume":"15 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87919186","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：