| تعداد نشریات | 287 |
| تعداد نشریات سازمان | 85 |
| تعداد شمارهها | 3,159 |
| تعداد مقالات | 35,108 |
| تعداد مشاهده مقاله | 50,530,280 |
| تعداد دریافت فایل اصل مقاله | 90,478,847 |
تأثیر تنش خشکی بر عملکرد و اجزای عملکرد ذرت با استفاده از روش فراتحلیل | ||
| پژوهش های کاربردی زراعی | ||
| دوره 35، شماره 1 - شماره پیاپی 134، فروردین 1401، صفحه 53-35 اصل مقاله (1008.3 K) | ||
| نوع مقاله: مقاله پژوهشی | ||
| شناسه دیجیتال (DOI): 10.22092/aj.2022.357496.1586 | ||
| نویسندگان | ||
| مهدی نصیری محلاتی* 1؛ صادق بهامین2؛ امین فتحی3؛ سید علیرضا بهشتی4 | ||
| 1استاد گروه زراعت، دانشکده کشاورزی، دانشگاه فردوسی مشهد. | ||
| 2دکترای اگرواکولوژی، دانشکده کشاورزی، دانشگاه فردوسی مشهد. | ||
| 3دکتری زراعت، واحد آیت الله آملی، دانشگاه آزاد اسلامی، آمل، ایران | ||
| 4دانشیار بخش علوم زراعی و باغی مرکز تحقیقات و آموزش کشاورزی و منابع طبیعی خراسان رضوی. | ||
| چکیده | ||
| فراتحلیل روشی است که به جمع بندی و ترکیب نتایج مستقل حاصل از تعداد مقالات مختلف می پردازد، که در نتیجۀ آن میتوان گفت که در مجموعه ای از مطالعات چه نتیجه ای حاصل شده است، بدین منظور این بررسی با عنوان فراتحلیل اثر تنش خشکی بر عملکرد کمی ذرت انجام شد. نمونه تحقیق شامل جمع آوری مقالات از سایت Sid بود که در مجموع 13 مقاله از بین 61 مقاله انتخاب شد. در این بررسی چهار صفت مورد بررسی قرار گرفت. مقادیر استاندارد شده اندازه در خصوص تاثیر تنش خشکی بر عملکرد بیولوژیک در هر چهار تیمار مقایسه شده معنی دار بود (001/0 > P). یادآوری میشود که اندازه اثر برای هر صفت اختلاف میانگین تیمارتنش خشکی از میانگین تیمار شاهد (بدون تنش) می باشد، بنابراین مقادیر مثبت آن نشان دهنده بالاتر بودن میانگین تیمار دارای تنش خشکی از تیمار شاهد است. یافته های این پژوهش نشان داد که علیرغم مطالعات فراوان در رابطه با تاثیر تنش خشکی بر عملکرد و اجزای عملکرد ذرت در کشور، نتایج حاصل بسیار متنوع بوده و از پراکندگی زیادی برخوردار است. این موضوع باعث شده است هنوز اثر دقیق تنش خشکی بخصوص بر عملکرد و اجزای عملکرد ذرت هنوز مشخص نباشد. فراتحلیل بعنوان یک روش قدرتمند آماری ابزار مناسب و دقیقی را برای تلفیق نتایج آزمایشات مستقل فراهم نمود و دامنه های مشخصی را برای تاثیر تنش خشکی به خصوص بر کمیت ذرت معین ساخت. | ||
| کلیدواژهها | ||
| اندازه اثر؛ خشکی؛ نمودار انباشت؛ عملکرد دانه؛ وزن هزار دانه | ||
| عنوان مقاله [English] | ||
| The Effect of Drought Stress on Yield and Yield Components of Maize Using Meta-Analysis Method | ||
| نویسندگان [English] | ||
| Mahdi Nassiri Mahallati1؛ Sadegh Bahamin2؛ Amin Fathi3؛ S. Alireza Beheshti4 | ||
| 1Professors in Agroecology, Department of Agrotechnology, Faculty Agriculture, Ferdowsi University of Mashhad, Iran. | ||
| 2Ph.D. of Agroecology, Department of Agrotechnology, Faculty Agriculture, Ferdowsi University of Mashhad, Iran. | ||
| 3Ph.D. of Agronomy, Ayatollah Amoli Branch, Islamic Azad University, Amol, Iran. | ||
| 4Associate Professor in Seed and Plant Improvement Department, Agricultural and Natural Resources Research and Education Center of Khorasan-e Razavi; Agricultural- Research-Education & Extension Organization (AREEO); Mashhad, Iran. | ||
| چکیده [English] | ||
| Introduction Meta-analysis is a method that summarizes and combines independent results from the number of different articles, which can be used to determine the results of a series of studies. Meta-analysis is a method for statistically comparing the results of independent studies on a subject. Meta-analysis is a type of research on other research. It can be used to re-examine the various studies that have been done on a particular topic and to compare them statistically. This approach is an independent study in itself. Materials and Methods For this purpose, this study was conducted as a meta-analysis of the effect of drought stress on corn yield. The sample of the study included collecting articles from the Sid site, which selected a total of 13 papers and theses from among 61 articles. The first step in performing the meta-analysis is to calculate the standard difference between the mean of the control and experimental treatments (the stress treatment), which is called effect size (d). Therefore, a value of d is calculated for each of the 13 independent experiments examined in this meta-analysis. At first, the remote and asymmetric part of the funnel diagram was removed after estimating the number of studies in this part. Were replaced with their missing symmetric part around the center. Finally, the estimate of the total mean as well as the corresponding variance was obtained based on the completed Funnel diagram. In meta-analysis, it should be considered which studies agree with the null hypothesis and which oppose it; for this purpose, the accumulation or Forrest diagram was used. All calculations and charts were performed in Excel. Results and Discussion In this study, four traits were studied. The standardized values for the effect of drought stress on biological yield were significant in all four treatments (P <0.001). It should be noted that the effect size for each trait is the difference between the mean drought modulus of the control treatment (without stress), so the positive values indicate the higher mean of drought stress treatment than the control treatment. Based on effect size chart, standardized size values were significant for drought stress on grain yield in all 4 treatments compared with control. From the collection of d collected studies, the accumulation diagram related to the study of the effectiveness of grain yield against drought stress was drawn. The research used in this trait shows the estimation of the effect of the treatments very close to zero and with a low confidence interval. Among the high-weight researches, we can refer to the articles of Khadem et al. (2011). Regarding the funnel diagram, the articles are in the range of 95% and the amount of bias is less and its bias is more, which is considered a positive thing as a result of research. In the above diagram, T is an exact experiment that has less standard deviation and has a smaller number on the x-axis and is located at the top of the diagram and close to the vertical zero-axis. Only 5 studies on the effect of drought stress on grain yield were not significant and were excluded from the funnel. Conclusion The results of this study showed that, despite numerous studies on the effect of drought stress on yield and yield components of maize in the country, the results are very diverse and have high dispersion. This issue has not yet determined the exact effect of drought stress, especially on yield and yield components of maize. As a robust statistical method, the meta-analysis provided a proper and accurate tool for combining the results of independent experiments and established specific ranges for the effects of drought stress, especially on the corn counts. | ||
| کلیدواژهها [English] | ||
| Effect size, Drought, Accumulation diagram, Seed yield, 1000 seed weight | ||
| مراجع | ||
|
Bahamin, S., Kocheki, A., Nasiri Mahallati, M., and Beheshti, S.A. 2019. Effect of biological and chemical fertilizers of nitrogen and phosphorus on quantitative and qualitative function of maize under drought conditions. Journal of environmental stresses in crop sciences, 11 (4): 863-872. Bahamin, S., Koocheki, A., Nassiri Mahallati, M., and Behashti, S.A. 2021. Effect of nitrogen and phosphorus fertilizers on yield and nutrient efficiency indices in maize under drought stress. Environmental Stresses in Crop Sciences, 14(3): 675-690. Di Marco, O.N., Aello, M.S., and Chicatun, A. 2007. Effect of irrigation on corn plant dry matter yield, morphological components and ruminal degradability of leaves and stems. Journal of animal and veterinary advances, 6: 8-11. Duval, S., and Tweedie, R. 2000. A nonparametric trim and fill method of accounting for publication bias in meta-analysis. Journal of the American Statistical Association, 95: 89-97. Erfani, R., Yaghoubian, Y., and Pirdashti, H. 2020. The contribution of chemical, organic and bio-fertilizers on rice production in Iran: A meta-analysis. Russian Agricultural Sciences, 46(6):596-601. Ezati, N., Maleki, A., and Fathi, A. 2020. Effect of drought stress and spraying of gibberellic acid and salicylic acid on the quantitative and qualitative yield of canola (Brassica napus). Journal of Iranian Plant Ecophysiological Research, 14(56):94-109. Fathi, A., and Zeidali, E. 2021. Conservation tillage and nitrogen fertilizer: a review of corn growth and yield and weed management. Central Asian Journal of Plant Science Innovation, 1(3): 121-142. Fathi, A., Farnia, A., and Maleki, A. 2016. Effects of biological nitrogen and phosphorus fertilizers on vegetative characteristics, dry matter and yield of corn. Applied field crops research (Pajohesh & Sazandegi), 29 (110): 1-7. Fathi, A., Maleki, A., and Naseri, R. 2022. A review of the effects of drought stress on plants and some effective strategies in crop management. Journal of Iranian Plant Ecophysiological Research, 1-29. Gurevitch, J., and Hedges, L.V. 1999. Statistical issues in ecological meta-analyses. Ecology, 80: 1142-1149. Hedges, L.V., Gurevitch, J., and Curtis, P.S. 1999. The meta-analysis of response ratios in experimental ecology. Ecology, 80:1150-1156. Jahan, M., and Nassiri Mahallati, M. 2019. Meta-Analysis of the Effect of Super-Absorbent Application on Crops Yield in Iran. Iranian Journal of Field Crops Research, 17(2): 207-220. Khaliliaqdam, N., Hasani, R., and Mir Mahmoudi, T. 2018. Meta-analysis of some effective factors on wheat production in Iran. Journal of Crops Improvement, 20(1): 191-204. Kiaer, L.P., Skovgaard, M., and Stergard, H. 2009. Grain yield increase in cereal variety mixtures: A meta-analysis of field trials. Field Crops Research, 114:361-373. Koocheki, A., Nasiri Mahallati, M., Bakhshaei, S., and Davari, A. 2017. A meta-analysis on nitrogen fertilizer experiments on cereal crops in Iran. Agroecology, 9(2):296-313. Koocheki, A., Nassiri Mahallati, M., Moradi, R., and Alizadeh, Y. 2011. Meta-analysis of agro biodiversity in Iran. Journal of Agroecology, 1(2):1-16. Maleki, A., Fathi, A., and Bahamin, S. 2020. The effect of gibberellin hormone on yield, growth indices, and biochemical traits of corn (Zea Mays L.) under drought stress. Journal of Iranian Plant Ecophysiological Research, 15(59):1-16. Matthews, S., Noli, E., Demir, I., Khajeh Hosseini, M., and Wagner, M.H. 2012. Evaluation of seed quality: from physiology to international standardization. Seed Science Research, 22:69–S73. Nejad, S.D., Nejad, T.S., and Lack, S. 2010. Study effect drought stress and different levels potassium fertilizer on K accumulation in corn. Nature and Science, 8(5):23-27. Rotundo, J., and Westgate, M.E. 2009. Meta-analysis of environmental effects on soybean seed composition. Field Crops Research, 110:147–156. Rotundo, J.L., and Westgate, M.E. 2009. Meta-analysis of environmental effects on soybean seed composition. Field Crops Research, 110: 147-156. Shekoofa, A., and Emam, Y. 2006. Maize (Zea mays L.) Growth and yield response to ethephon application under water stress conditions. Iran Agricultural Research, 25:39-52. Soltani, E., and Soltani, A. 2014. Necessity of using meta-analysis in field crops researchers, Electronic Journal of Crop Researches, 7(3):203-216. Taheri, F., Maleki, A., and Fathi, A. 2021. Study of different levels of nitrogen fertilizer and irrigation on quantitative and qualitative characteristics of Quinoa grain yield. Crop Physiology Journal, 13(50):135-149. Tonnito, C., David, M.B., and Drinkwater, L.E. 2006. Replacing bare fallows with cover crops in fertilizer-intensive cropping systems: A meta-analysis of crop yield and dynamics. Agriculture, Ecosystems and Environment, 112:58-72. Valkama, E., Risto, U., Ylivainio, K., Virkajarvi, P., and Turtola, E. 2009. Phosphorus fertilization: A meta-analysis of 80 years of research in Finland. Agriculture, Ecosystems and Environment, 130: 75-85. | ||
|
آمار تعداد مشاهده مقاله: 1,090 تعداد دریافت فایل اصل مقاله: 801 |
||