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بررسی تنوع صفات زراعی و مورفولوژیکی لاین های دابلدهاپلویید گندم با استفاده از روش های آماری چند متغیره | ||
| پژوهش های کاربردی زراعی | ||
| دوره 34، شماره 1 - شماره پیاپی 130، خرداد 1400، صفحه 71-92 اصل مقاله (605.41 K) | ||
| نوع مقاله: مقاله پژوهشی | ||
| شناسه دیجیتال (DOI): 10.22092/aj.2021.341851.1457 | ||
| نویسندگان | ||
| فرشاد بختیار* 1؛ حبیب اله قزوینی2؛ مصطفی آقایی سربرزه3 | ||
| 1استاد یار موسسه تحقیقات اصلاح و تهیه نهال و بذر، سازمان تحقیقات، ترویج و آموزش کشاورزی، کرج، ایران | ||
| 2معاون بخش تحقیقات غلات موسسه نهال و بذر | ||
| 3عضو هایت علمی بخش تحقیقات غلات | ||
| چکیده | ||
| در این تحقیق تنوع صفات زراعی و مورفولوژیکی تعداد روز تا ظهور سنبله، روز تا رسیدگی فیزیولوژیک، طول سنبله، تعداد سنبلچه، تعداد دانه در سنبله، وزن دانه در سنبله، وزن هزار دانه، ارتفاع گیاه، تراکم دانه در سنبله و عملکرد دانه 150 لاین دابلدهاپلوییدگندم در قالب طرح آگمنت مورد بررسی قرار گرفت. محاسبه ضرایب تغییرات فنوتیپی بیانگر وجود تنوع ژنتیکی بالایی در اکثر صفات مورد مطالعه بود. برآورد همبستگی اجزاء عملکرد نشان داد که عملکرد دانه با صفت وزن هزار دانه دارای همبستگی مثبت و با صفات تعداد روز تا ظهور سنبله، روز تا رسیدگی فیزیولوژیک و تعداد سنبلچه در سنبله دارای همبستگی منفی و معنی دار بود. بررسی تحلیل عاملی نشان داد که عوامل موثر بر خصوصیات سنبله (تعداد دانه در سنبله، وزن دانه و تراکم دانه در سنبله)، زود رسی (تعداد روز تا ظهور 50 درصد سنبله و تعداد روز تا رسیدگی فیزیولوژیک) و ارتفاع (تعداد سنبلچه در سنبله، طول سنبله و ارتفاع گیاه) باهم 55/70 درصد از واریانس داده‌ها را در بر داشتند. برآورد عملکرد دانه در روش رگرسیون گام به گام مشخص نمود که وزن هزار دانه مهم ترین مولفه‌ای بود که ارتباط نزدیک‌تری با عملکرد دانه داشت و به تنهایی 3/10 درصد از تغییرات آن را توجیه می‌کرد. تجزیه علیت برای صفت عملکرد دانه نشان داد که وزن هزار دانه و طول سنبله بالاترین اثر مستقیم را بر عملکرد دانه داشتند. نتایج نشان داد که تعدادی از لاین‌های مورد بررسی دارای عملکرد و صفات زراعی و مورفولوژیکی برتری نسبت به والدین و شاهدهای آزمایش بودند. | ||
| کلیدواژه‌ها | ||
| تحلیل عاملی؛ جمعیت دابلد هاپلویید؛ عملکرد دانه و گندم | ||
| عنوان مقاله [English] | ||
| Evaluation of variability of agronomic and morphological traits in doubled haploid wheat lines using multivariate statistical methods | ||
| نویسندگان [English] | ||
| Farshad Bakhtiar1؛ Habibollah Ghazvini2؛ Mostafa Aghaee Sarbarzeh3 | ||
| 1Assistant Professor, Seed and plant Improvement Institute, Agriculture Research Education and Extension Organization (AREEO), Karaj, Iran | ||
| 2Associate Professor, Seed and plant Improvement Institute, Agriculture Research Education and Extension Organization (AREEO), Karaj, Iran | ||
| 3Professor Seed and plant Improvement Institute, Agriculture Research Education and Extension Organization (AREEO), Karaj, Iran | ||
| چکیده [English] | ||
| To date, wheat counts as one of the most important cereal grains, feeding the increasing world population (Feldmann, 2001). Evaluation of the genetic diversity of wheat genotypes will provide a great opportunity to improve its yield quality and increase its grain output. The results of previous studies on wheat have shown correlations among grain yield and its components such as number of tillers, spike length, grain number per spike, thousand-kernel weight and harvest index. However, because of complex relations among different traits and their interactions with grain yield of wheat, simple correlations of these traits can not be directly and unequivocally used to clarify those relationships. Therefore, different statistical techniques can be employed in modeling the crop yield, including correlation, regression, path analysis, factor analysis, factor components, and cluster analysis (Leilah & Al-Khateeb 2005). The goal of this study was to identify variability in grain yield and some agronomic and morphological traits and their relationship among 150 doubled haploid wheat lines. Materials and Methods In this study, morphological and phenotypic traits of 150 doubled haploid wheat lines derived from three different crosses: 1) DH-26: Ghods*3/MV17, 2) DH-27: Flanders/3*Ghods, 3) DH-28: Hybrid Bersee/*3Ghods, which consisted of 75, 45 and 30 individuals, respectively, were evaluated. The experiment was conducted using an augmented design with six check cultivars including Parsi, Mihan, Bolani, Ghods, Hybrid Bersee and MV17, which were repeated over five blocks. Some agronomic traits such as days to %50 of flowering, days to maturity, spike length, number of spikelets per spike, number of grains per spike, grain weight per spike, thousand kernel weight, plant height, grain density per spike and grain yield of DH lines as well as check cultivars were evaluated. DH lines were classified with hierarchical cluster analysis using Ward method as well as using multivariate statistical methods such as factor analysis, stepwise regression and path analysis. Statistical procedures were carried out using SAS 9.0 and SPSS 16 software packages. Results and Conclusion The analysis of variance showed that there were significant differences for days to %50 of flowering, days to maturity, spike length, number of spikelets per spike, number of grains per spike, grain weight per spike, thousand kernel weight, plant height, grain density per spike and grain yield. The determination of coefficients of variations for phenotypic and physiological traits of all three DH populations indicated that most of the studied traits had a high genetic variability. Evaluation of grain yield among different population showed that DH-26 population with an average grain yield of 4.885 T/ha had higher grain yield compared to other two populations, although within each population several lines with higher yields and superior agronomic and morphological traits than their parents and control cultivars were identified. The coefficients of correlations among yield components showed that grain yield had a positive and significant correlation with grain weight per spike and thousand-kernel weight while its correlation with days to 50% of flowering, days to maturity and number of spikelets per spike was negative and significant. The results of factor analysis indicated that three major factors effective on earliness, spike and plant height explained %68.47 of the total variation. The results of stepwise regression analysis showed that thousands kernel weight had the most important effect on grain yield and explained 8.8% of the variation. The path analysis of data indicated that, number of spikelets per spike and thousand-kernel weight had the highest direct effects on grain yield. The current genetic variability of DH lines, which are derived from parents with good agronomic traits, especially yellow rust resistance (Bakhtiar et al., 2015), can be employed for the selection of the superior genotypes that possess all beneficial characteristics. References: Bakhtiar, F., Farshadfar, E., Aghaee Sarbarzeh, M., Afshari, F., and Ghazvini, H. 2015. Evaluation of resistance to stripe rust in doubled haploid lines of bread wheat. Seed and plant improvement journal, 31: 679-698 (in Presian). Feldmann, M. 2001. Origin of cultivated wheat. In A. P. Bonjean & W. J. Angus (Eds.), the world wheat book. A history of wheat breeding (pp. 3–56). Lavoiser Publishing. Leilah, A. A., and Al-Khateeb, S. A. 2005. Statistical analysis of wheat yield under drought conditions. Journal of Arid Environments, 61(3), 483–496. https://doi.org/10.1016/j.jaridenv.2004.10.011 | ||
| کلیدواژه‌ها [English] | ||
| Doubled Haploid Population, Grain Yield, Path Analysis and Wheat | ||
| مراجع | ||
|
Acquaah, G., Adams, M. W., and Kelly, J. D. 1992. A factor analysis of plant variabeles associated with architecture and seed in dry bean. Euphytica, 60: 171-177. Aghaee Sarbarzeh, M., and Amini, A. 2011. Genetic variability for agronomic traits in bread wheat genotype collection of Iran. Seed and plant improvement journal, 27-1(4):581-589 (in Persian). Ahmad, T., Kumar, A., Pandey, D., and Prasad, B. 2018. Correlation and path coefficient analysis for yield and its attributing traits in bread wheat (Triticum aestivum L. em Thell). Journal of Applied and Natural Science, 10(4), 1078–1084. https://doi.org/10.31018/jans.v10i4.1867 Arya, V. K., Singh, J., Kumar, L., Kumar, R., Kumar, P., and Chand, P. 2017. Genetic variability and diversity analysis for yield and its components in wheat (Triticum aestivum L.). Indian Journal of Agricultural Research, 51(2), 128–134. Bakhtiar, F., Farshadfar, E., Aghaee Sarbarzeh, M., Afshari, F., and Ghazvini, H. 2015. Evaluation of resistance to stripe rust in doubled haploid lines of bread wheat. Seed and plant improvement journal, 31: 679-698 (in Presian). Baranwal, D., Mishra, V. K., Vishwakarma, M. K., Yadav, P. S., and Arun, B. 2012. Studies on genetic variability, correlation and path analysis for yield and yield contributing traits in wheat (T. Aestivum L. Em Thell.) Plant Archives, 12(1): 99-104 Baye, A., Berihun, B., Bantayehu, M., and Derebe, B. 2020. Genotypic and phenotypic correlation and path coefficient analysis for yield and yield-related traits in advanced bread wheat (Triticumaestivum L.) lines, Cogent Food and Agriculture, 6(1), 1752603 Dabi, A., Mekbib, F., and Desalegn, T. 2016. Estimation of genetic and phenotypic correlation coefficients and path analysis of yield and yield contributing traits of bread wheat (Triticum aestivum L.) genotypes. International Journal Natural Resource Ecology Management, 1(4), 145–154. Da Silva, F. L., Pedrozo, C. Â., Barbosa, M. H. P., Resende, M. D. V., Peternelli, L. A., Costa, P. D. A., and Vieira, M. S. 2009. Path analysis for yield components of sugarcane via BLUP. Revista Ceres, 56(3), 308–314. Dehghan, A., Khodarahmi, M., Majidi Harvan, A., and Pakzad, F. 2011. Genetic variation of morphological and physiological traits in durum wheat lines. Seed and Plant Improvement Journal, 27: 103-120 (in Presian). Del Moral, L. F., Rharrabti, Y., Villegas, D., and Royo, C. 2003. Evaluation of grain yield and its components in durum wheat under Mediterranean conditions. Agronomy Journal, 95(2), 266–274. https://doi.org/10.2134/agronj2003.0266 Dutamo, D., Alamerew, S., Eticha, F., and Assefa, E. 2015. Path coefficient and correlation studies of yield and yield associated traits in bread wheat (Triticum aestivum L.) germplasm. World Applied Sciences Journal, 33(11), 1732–1739. Ebrahimnjad, S., and Rameeh, V. 2016. Correlatino and factor nanalysis of grain yield and some important component characters in spring bread wheat genotypes Cercetări Agronomice în Moldova, Vol. XLIX, No. 1 (165) / 2016: 5-15. Farshadfar, E. 2004. Multivariate principles and procedures of statistics. Taghbostan puplication. (In Persian). Feldmann, M. 2001. Origin of cultivated wheat. In A. P. Bonjean & W. J. Angus (Eds.), the world wheat book. A history of wheat breeding (pp. 3–56). Lavoiser Publishing. Fikre, G., Alamerew, S., and Tadesse, Z. 2015. Genetic variability studies in bread wheat (Triticum aestivum L.) genotypes at kulumsa agricultural research center, south east Ethiopia. Journal of Biology, Agriculture and Healthcare, 5(7), 89–98. Ghaderi, M., Zeinaali, K. H., Hosseinzadeh, A. H., Taleei, A. R., and Naghavi, M. R. 2009. Evaluation of relationshipsbetween grain yield, yield components and the other characteristics associated with grain yield in bread wheat using multivariate statistical analysis. Iranian Journal of Field Crops Research, 7- 2: 573-582. Golparvar, A. R., Ghannadha, M. R., Zali, A., and Ahmadi, A. 2002. Evaluation of some morphological traits as selection criteria for improvement of bread wheat. Iranian Journal of Crop sciences, 4- 3: 202-207 (in Persian). Gupta, A. K., Mittal, R. K., and Ziauddin, A. Z. 1999. Association and factor analysis in spring wheat. Annals of Agricultural Research, 20: 481-485. Kalantarzadeh, M. 2004. Evaluation of quantitative and qualitative characters of bread wheat in relation with high molecule glutenin by multivariate statistical methods. MSc. Thesis, College of Agriculture, Isfahan University of Technology, Isfahan, Iran (in Persian) Kandić, V., Dodig, D., Jović, M., Nikolić, B., and Prodanović, S.2009. Importance of physiological traits in wheatbreeding under irrigation and drought stress. Genetika, 41(1), 11–20. https://doi.org/10.2298/GENSR0901011K Khan, A. J., Azam, F., and Ali, A. 2010. Relationship of morphological traits and grain yield in recombinant inbred wheat lines grown under drought conditions. Pakistan Journal of Botany, 42(1), 259–267. Khan, A. A., Alam, M. A., Alam, M. K., Alam, M. J., and Sarker, Z. I. 2013. Correlation and path analysis of durum wheat (Triticum turgidum L. var. Durum). Bangladesh Journal of Agricultural Research, 38(3), 515–521. https://doi.org/10.3329/bjar.v38i3.16978 Khaliq, I. H. S. A. N., Parveen, N. A. J. M. A., and Chowdhry, M. A. 2004. Correlation and path coefficient analyses in bread wheat. International Journal of Agriculture and Biology, 6(4), 633–635. Kotal, B. D., Das, A., and Choudhury, B. K. 2010. Genetic variability and association of characters in wheat (Triticum aestivum L.). Asian Journal of Crop Science, 2(3), 155–160. https://doi.org/10.3923/ajcs.2010.155.160 Leilah, A. A., and Al-Khateeb, S. A. 2005. Statistical analysis of wheat yield under drought conditions. Journal of Arid Environments, 61(3), 483–496. https://doi.org/10.1016/j.jaridenv.2004.10.011 Majumder, D. A. N., Shamsuddin, A. K. M., Kabir, M. A., and Hassan, L. 2008. Genetic variability, correlated response and path analysis of yield and yield contributing traits of spring wheat. Journal of the Bangladesh Agricultural University, 6(2), 227–234. Mecha, B., Alamerew, S., Assefa, A., Dutamo, D., and Assefa, E. 2017. Correlation and path coefficient studies of yield and yield associated traits in bread wheat (Triticum aestivum L.) genotypes. Advances in Plants and Agriculture Research, 6(5), 1–10. Moghadam, M., Mohammadi Shooty, M., and Aghaee Sarbarzeh, M. 1994. Introduction to multivariate statistical methods. Publisher: Pishtaz-e- Alme. PP 208. (in Persian). Mohammad, T., Haider, S., Amin, M., Khan, M. I., and Zamir, R. 2005. Path coefficient and correlation studies of yield and yield associated traits in candidate bread wheat (Triticum aestivum L.) lines. Suranaree Journal of Science and Technology, 13(2), 175–180. Mohammadi, M., Ghannadha, M. R., and Taleei, A. 2002. Study of genetic variation within Iranian local bread wheat lines using multivariate techniques. Seed and plant improvement journal, 18: 328-347 (in Presian). Naghavi, M. R., Shahbaze Poorshahbazi, A., and Talei, A. 2002. Study of genetic variation in durum wheat germplasm for some morphological and agronomic characteristics. Iranian journal of crop Sciences, 4: 81-86 (in Persian). Poehlman, J. M. 1987. Breeding Field Crops. An Avi Pub. Van Nostrand Rainhold. New York, USA. Prost, L, Makowski, D., and Jeuffroy, M.H. 2008. Comparison of stepwise selection and Bayesian model averaging for yield gap analysis. Ecological Modelling, 219: 66–76 Rajput, R. S. 2019. Path analysis and genetic parameters for grain yield in bread wheat (Triticum aestivum L.). Annual Research and Review in Biology, 1–8. https://doi. org/10.9734/arrb/2019/v31i330050 Roustaei, M., Sadeghzadeh, D., Zad Hassan, E., and Arshad, Y. 2003. Factor analysis for studying characteristic relations influencing grain yield of local bread wheat in maragheh cold dryland area. Journal of Agricultural Science, 13- 1: 1-10 (in Persian). Sorkhi, B., and Yazdi Samadi, B. 1998. Study of Genetic variation between grain yield and quantitative traits in 500 bread wheat lines by factor analysis. Iranian Jornal of Agricalture Sciences, 29- 2: 363-373 (in Pesian) Staub, J. E., Serquen, F. C., and Gupta, P. K. 1996. Genetic marker map construction and their application in plant breeding. American Society for Horticul Science, 31: 729-740. Vaezi, S. 1994. Study of genetic variation and geographical diversity for quantitative and qualitative characters of Iranian local collection of durum wheat. MSc. Thesis, College of Agriculture, University of Tehran, Karaj, Iran (in Persian). Wolde, T., Eticha, F., Alamerew, S., Assefa, E., Dutamo, D., and Mecha, B. 2016. Trait associations in some durum wheat (Triticum durum L.) accessions among yield and yield related traits at Kulumsa, south eastern Ethiopia. Advances in Crop Science and Technology, 4(4), 234. https://doi.org/10.4172/ 2329-8863.1000234 Xie, Q. 2015. Physiological and genetic determination of yield and yield components in a bread wheat× spelt mapping population [Doctoral dissertation]. University of Nottingham Yildrim, M., Budak, N., and Arshas, Y. 1993. Factor analysis of yield and related traited in bread wheat. Turkish Journal of Field Crope, 1:11-15. | ||
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