ارزیابی لاینهای اینبرد نوترکیب گندم در مقایسه با ارقام شاهد از لحاظ مؤلفه های مختلف جوانه زنی بر اساس شاخص های چندصفتی

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشجوی کارشناسی‌ارشد اصلاح نباتات، گروه زراعت و اصلاح نباتات، دانشکده علوم کشاورزی، دانشگاه گیلان، رشت، ایران

2 دانشیار، گروه زراعت و اصلاح نباتات، دانشکده علوم کشاورزی، دانشگاه گیلان، رشت، ایران

3 دانشیار، گروه علوم گیاهی، دانشگاه فدرال سانتا کاتارینا، سانتا کاتارینا، ایالت ریوگرانده دوسول، برزیل

4 استادیار پژوهشی، مرکز تحقیقات و آموزش کشاورزی و منابع طبیعی استان مازندران، سازمان تحقیقات، آموزش و ترویج کشاورزی، ساری، ایران

10.22124/jms.2023.7680

چکیده

گندم به­عنوان یکی از مهم­ترین گیاهان زراعی، تأمین­کننده اصلی غذای انسان می­باشد. این تحقیق با هدف بررسی لاین­های اینبرد نوترکیب گندم بر اساس مولفه­­های جوانه­زنی و مقایسه آنها با ارقام شاهد منطقه برای انتخاب برترین لاین­ها با استفاده از شاخص­ گزینشی فاصله ژنوتیپ-ایدئوتیپ چندصفتی (MGIDI) انجام شد. به­این منظور 40 لاین اینبرد نوترکیب گندم (F8) به­همراه شش رقم شاهد (آرمان، آراز، احسان، تیرگان، معراج و کلاته) ارزیابی شدند. با توجه به نتایج تجزیه واریانس تفاوت معنی­داری بین ژنوتیپ­های مورد مطالعه برای همه صفات در سطح احتمال یک درصد مشاهده شد. نتایج تجزیه به عامل­ها برای صفات مورد بررسی سه عامل را شناسایی کرد که 93/86 درصد از تنوع کل داده­ها را توجیه نمودند. بر مبنای شاخص MGIDI نیز هفت لاین L3-4، L7-5، L7-4، L8-5، L4-4، L5-3 و L3-3 انتخاب شدند که با کمترین فاصله تا ژنوتیپ ایده­آل جزء برترین ژنوتیپ­ها بودند. بر اساس تجزیه خوشه­ای ژنوتیپ­ها به پنج گروه تقسیم شدند و ژنوتیپ­های گروه پنجم، از لحاظ کلیه مؤلفه­های جوانه­زنی و صفات گیاهچه­ای به­عنوان برترین ژنوتیپ­ها شناسایی شدند که منطبق با ژنوتیپ­های شناسایی شده بر مبنای شاخص MGIDI بود. بیشترین درصد دیفرانسیل گزینش و بهره ژنتیکی به شاخص بنیه بذر وزنی­تر (به­ترتیب 49/16 و 29/14درصد) اختصاص داشت که نشان می­دهد برتر بودن ژنوتیپ­های انتخابی از لحاظ این ویژگی­ برجسته­تر می­باشد. بر اساس نتایج، لاین­های اینبرد نوترکیب مورد مطالعه از لحاظ صفات مورد بررسی، به­طور معنی­داری برتر از ارقام شاهد بودند. همچنین نتایج این بررسی نشان داد، استفاده از شاخص MGIDI می­تواند به­طور کارآمدی ژنوتیپ­های برتر را شناسایی کند.

کلیدواژه‌ها

عنوان مقاله [English]

Evaluation of wheat recombinant inbred lines compared to control cultivars in terms of different germination components based on multi-trait indices

نویسندگان [English]

  • Mobina Kharf-Meskini 1
  • Atefeh Sabouri 2
  • Tiago Olivoto 3
  • Hossein-Ali Fallahi 4
1 M.Sc. student of Plant Breeding, Department of Agronomy and Plant Breeding, Faculty of Agricultural Sciences, University of Guilan, Rasht, Iran
2 Associate Professor, Department of Agronomy and Plant Breeding, Faculty of Agricultural Sciences, University of Guilan, Rasht, Iran
3 Associate Professor, Department of Plant Sciences, Universidade Federal de Santa Catarina, Santa Catarina, State of Rio Grande do Sul, Brazil
4 Research Assistant of Mazandaran Agricultural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Sari, Iran
چکیده [English]

Wheat, as one of the most important crop on earth, is the main supplier of human food. This research was conducted to investigate the wheat recombinant inbred lines based on the germination components and compare them with the control varieties of the region to select the best lines using the selection index of the multi-trait genotype-ideotype distance (MGIDI). For this purpose, 40 wheat inbred lines (F8) were evaluated along with six control varieties (Arman, Araz, Ehsan, Tirgan, Meraj and Kalateh). According to the results of the analysis of variance, a significant difference between the studied lines was observed for all traits (P<.01). The results of factor analysis for the studied traits identified three factors that explained 86.93% of the total variation. Based on the MGIDI index, seven lines L3-4, L7-5, L7-4, L8-5, L4-4, L5-3, and L3-3 were selected as the superior genotypes with the lowest distance to the ideal genotype. Based on the cluster analysis, the genotypes were divided into five groups, and the genotypes of the fifth group were identified as the best genotypes in terms of all germination components and seedling traits, and were consistent with the genotypes identified based on the MGIDI index. The highest percentage of differential selection and genetic gain was assigned to the fresh weight vigour index (49.16% and 29.14%, respectively), which shows that the superiority of the selected genotypes is more prominent in terms of this trait. Based on the results, the recombinant inbred lines were significantly superior to the control cultivars in terms of the studied traits. Also, the results of this study showed that the use of the MGIDI index can efficiently identify superior genotypes.

کلیدواژه‌ها [English]

  • Cluster analysis
  • Factor analysis
  • Indirect selection
  • MGIDI index

مراجع

Abdul-Baki, A.A. and Anderson, J.D. 1973. Vigor determination in soybean seed by multiple criteria. Crop Science, 13:630–633. (Journal)
Aghaei, N., Zarei, L. and Cheghamirza, K. 2023. Agro-morphological and physiological traits affecting grain yield of durum wheat advanced generations under rainfed conditions. Journal of Plant Physiology and Breeding, 13(1):79-94. (Journal)
Ahmadirad, A., Mohammadi, R., Etminan, A.R., Shooshtari, L. and Mehrabi, A.M. 2022. Evaluation of morpho-physiological diversity of durum wheat genotypes under rainfed condition. Cereal Research, 12 (1):21-44. (In Persian)(Journal)
Baker, R.J. 1986. Selection Indices in Plant Breeding. Translated by Monirifar, H., Parivar Publications in Tabriz, 208 pages. (In Persian)(Book)
Copeland, L.O. and McDonald, M.B. 1995. Seed Science and Technology. Chapman and Hall, New York, 409 pages. (Book)
 Dastfal, M., Aghaee-Sarbarzeh, M. and Zali, H. 2022. Genetic diversity and selection of durum wheat pure lines with desirable agronomy traits using SIIG index. Iranian Journal of Field Crop Science, 53 (1):161-174. (In Persian)(Journal)
Djanaguiraman, M., Senthil, A. and Ramadass, R. 2004. Mechanism of salt tolerance in rice genotypes during germination and seedling growth. Indian Journal of Agricultural Research, 38(1):73-76. (Journal)
Elias, S., Garary, A., Schweitzer, L. and Hanning, S. 2006. Seed quality testing of native species. Native Plant Journal, 7(1):15-19. (Journal)
Emam, Y. 2003. Cereal production. University of Shiraz Press, 190 pages. (In Persian)(Book)
Fadakar Navrood, F., Asghari Zakaria, R., Mostafav Rad, M., Zare, N. and Moghaddaszadeh Ahrabi, M. 2023. Evaluation of seed yield stability of groundnut genotypes by multi-characteristic selection indicators. Iranian Journal of Field Crop Science, 54(3):191-205. (In Persian)(Journal)
Hamze, H., Asghari, A., Mohammadi, S.A., Sofalian, O. and Mohammadi, S. 2018. Grouping of bread wheat recombinant lines in terms of phenological traits and allocation of photosynthetic materials in end-of-season drought stress conditions. Journal of Environmental Stresses in Agricultural Sciences, 12 (4):989-1002. (In Persian)(Journal)
Hampton, J.G. and TeKrony, D.M. 1995. Handbook for Vigour Test Methods. 3rd Edition. International Seed Testing Association (ISTA). Zurich, Switzerland, 117 pages. (Book)
Jalalifar, R., Sabouri, A., Mousanejad, S., and Dadras, A.R. 2023. Estimation of Genetic Parameters and Identification of Leaf Blast-Resistant Rice RILs Using Cluster Analysis and MGIDI. Agronomy, 13(11): 2730. (Journal)
James, R.A., von Caemmerer, S., Condon, A.T., Zwart, A.B. and Munns, R. 2008. Genetic variation in tolerance to the osmotic stress component of salinity stress in durum wheat. Functional Plant Biology, 35(2):111-123. (Journal)
Klein, L.A., Marchioro, V.S., Toebe, M., Olivoto, T., Meira, D., Meier, C., Benin, G., Busatto, C.A., Garafini, D.C., Alberti, J.V. and Finatto, J.L.B. 2023. Selection of superior black oat lines using the MGIDI index. Crop Breeding and Applied Biotechnology, 23(3): e45112332.‏ (Journal)
Krichen K., BenMariem, H. and Chaieb, M. 2014. Ecophysiological requirements on seed germination of a Mediterranean perennial grass (Stipa tenacissima L.) under controlled temperatures and water stress. South African Journal of Botany, 94:210-217. (Journal)
Latifi, N., Soltani, A. and Spanner, D. 2004. Effect of Temperature on Germination Componentsin Canola Cultivars. Iranian Journal of Agriculture Science, 35(2):313-321. (In Persian)(Journal)
Litoriya, N.S., Modi, A.R. and Talati, J.G. 2018. Nutritional evaluation of durum wheat with respect to organic and chemical fertilizers. Agricultural Research, 7(2):152-157. (Journal)
Moghaddam, M., Mohammadi, S. A. and Aghaee Sarbarzeh, M. 2009. Multivariate Statistical Methods: A primer (2th Ed.) Parivar Publication, Tabriz, Iran. (In Persian)(Book)
Murillo-Amador, B., Troyo-Diéguez, E., López-Cortés, A., Jones, H.G., Ayala-Chairez, F. and Tinoco-Ojanguren, C.L. 2001. Salt tolerance of cowpea genotypes in the emergence stage. Australian Journal of Experimental Agriculture, 41(1):81-88. (Journal)
Nazari, H., Rostaii, M. and Alavi-Siney, S.M. 2023. Selection of superior bread wheat lines under rainfed condition of Zanjan based on moroho-phenological traits. Environmental Stresses in Crop Sciences, 16(2):547-560. (In Persian)(Journal)
Olivoto, T. and Lu´cio, A.D. 2020. Metan: an R package for multi-environment trial analysis. Methods in Ecology and Evolution, 11:783–789. (Journal)
Olivoto, T. and Nardino, M. 2021. MGIDI: toward an effective multivariate selection in biological experiments, Bioinformatics, 37(10):1383–1389. (Journal)
Pour-Aboughadareh, A., Zali, H., Gholipour, A., Koohkan, S.A., Barati, A., Jabari, M., Kheirgo, M. and Marzoghiyan, A. 2022. Selection of barley superior promising lines using selection indexes of multi-trait. Agricultural Science and Sustainable Production, 33(3):1-16. (In Persian)(Journal)
Rezaei, A.M. 1994. Selection indices in plant breeding. Collection of key articles of the 3rd congress of agricultural sciences and plant breeding of Iran, Tabriz, Iranian Crop Science Congress, Page: 10-134. (In Persian)(Conference)
Saber, F., Asghari Zakaria, R., Zare, N. and Farzaneh, S. 2022. Selection of salinity-tolerant durum wheat genotypes at germination stage using MGIDI and IGSI multi-trait selection indices. Cereal Research, 12(3):263-279. (In Persian)(Journal)
Sedaghati M., Sabouri, A. and Mohammadi-Gonbad R. Investigation of the relationship between germination components and agronomical traits in barley using the canonical correlation analysis. 2022. Cereal Research Communications, 51(3):737–748. (Journal)
Shi. Z., Chang, T.G., Chen, F., Zhao, H., Song, Q., Wang, M., Wang, Y., Zhou, Z., Wang, C., Zhou, S.C., Wang, B., Chen, G. and Zhu, X.G. 2020. Morphological and physiological factors contributing to early vigor in the elite rice cultivar 9,311. Scientific Reports, 10:14813. (Journal)
Shirzad, A., Asghari, A., Zali, H., Sofalian, O. and Mohammaddoust Chamanabad, H.R. 2023. Application of the Multi-Trait Genotype-Ideotype Distance Index (MGIDI) in the selection of top barley genotypes in the warm and dry region of darab. Crop Breeding, 14(44):65-76. (In Persian) (Journal)
Soltani, A. and Maddah, V. 2010. Simple applied programs for education and research in agronomy. Association of Ecological Scientific Publications of Shahid Beheshti University, Iran, Tehran, 80 pages. (In Persian)(Book)
Souhani, M.M. 2015. Seed technology. Seventh printing. University of Guilan Press. 286 pages. (In Persian)(Book)
Wickham, H. 2016. ggplot2: Elegant graphics for data analysis. Springer International Publishing, Houston, TX, 260 pages. (Book)
Yarahmadi, S., Nematzade, Gh. A. sabouri, H. and Najafi Zarini, H. 2021. The importance of agro-morphological traits in supplementary irrigation conditions as selection criteria for spring wheat improvement. Iranian Journal of Field Crop Science, 51(4):25-37. (In Persian)(Journal)
Young, N.D. 2000. Constructing a plant genetic linkage map with DNA markers. Edited by: Phillips, R.L. and Vasil, I.K. DNA-based markers in plants. Kluwer Academic Publishers Netherlands, 31–47. (Book)
علوم و تحقیقات بذر ایران
دوره 10، شماره 4
دی 1402
صفحه 1-17

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