Functional factor analysis in sesame under water - limiting stress: New concept on an old method

Sadollah Mansouri

sadollahmasouri@yahoo.com
Oil Seed Crop Res. Department, Seed & Plant Improvement Institute, Karaj, I. R. Iran; (Iran, Islamic Republic of)

Masood Soltani Najafabadi


Oil Seed Crop Res. Department, Seed & Plant Improvement Institute, Karaj, I. R. Iran (Iran, Islamic Republic of)

Maghsadollah Esmailov


Genetics and Selection Department, Agricultural University of Tajikistan, Tajikistan (Tajikistan)

Mostafa Aghaee


Seed & Plant Improvement Institute, Karaj, I. R. Iran (Iran, Islamic Republic of)


Abstract

Multivariate statistical analysis, through their ability to extract hidden relationship between various traits, has a wide application in breeding programs. Having physiological concept on the multivariate analysis, factor analysis was used to extract differential relationships between different components involving in assimilate partitioning in sesame under regular irrigation regime and limited irrigation. The analysis revealed that under regular irrigation regime, the stored and/or currently produced assimilates are allocated to the filling seeds. However, incidence of water shortage in the beginning of flowering time make shifts in assimilate partitioning from formation of new seeds or capsules to the not-matured pre-formed seeds, which results in seeds with more nutrient storage. This indicates the requirement for change in breeding strategies under sub-optimal condition. The possible common language between factor concept in multivariate analysis, QTLs in genetics, and transcription factors in molecular biology is indicated.


Keywords:

assimilate partitioning, factor analysis, QTL, sesame, transcription factor

Al-Sayed, H. M., Fateh, H. S., Fares, W. M., & Attaya, A. S. (2012). Multivariate analysis of sugar yield factors in sugar cane. American-Eurasian Journal of Sustainable Agriculture, 6(1), 44-50.
Google Scholar

Araus, J. L., Slafer, G. A., Royo, C., & Serret, M. D. (2008). Breeding for yield potential and stress adaptation in cereals. Critical Reviews in Plant Science, 27, 377-412. http://dx.doi.org/10.1080/07352680802467736 .
Google Scholar

Banerjee, P. P., & Kole, P. C. (2006). Genetic variability for some physiological characters in sesame (Sesame indicum L). Sesame & Safflower News, 21, 20-24.
Google Scholar

Blum, A. (1996). Crop responses to drought and the interpretation of adaptation. Plant Growth Reg. 20, 135-148.
Google Scholar

Boureima, S., Eylettes, M., Diouf, M., Diop, T. A., & Damme, P. V. (2011). Sensitivity of seed germination and seedling radicle growth to drought stress in sesame (Sesamum indicum L.). Res. J. Environ. Sci., 5(6), 557-564. http://dx.doi.org/10.3923 / rjes.2011.557.564
Google Scholar

Brem, R. B., Yvert, G., Clinton, R., & Kruglyak, L. (2002). Genetic dissection of transcriptional regulation in budding yeast. Science, 296(5568), 752-5. http://dx.doi.org/10.1126/science.1069516
Google Scholar

Chaves, M. M. (1991). Effects of water deficits on carbon assimilation. J. Exp. Bot., 42(1), 1-16. http://dx.doi.org/10.1093 / jxb/42.1.1
Google Scholar

Chaves, M. M., Maroco, J. P., & Pereira, J. S. (2003). Understanding plant responses to drought − from genes to the whole plant. Func. Plant Biol., 30(3), 239-264. http://dx.doi.org/10.1071 / FP02076
Google Scholar

Chen, J. L., & Reynolds, J. F. (1997). A coordination model of whole-plant carbon allocation in relation to water stress. Ann. Bot., 80(1), 45-55. http://dx.doi.org/10.1006 / anbo.1997.0406
Google Scholar

Doust, A. (2007). Architectural evolution and its implications for domestication in grasses. Ann Bot, 100(5), 941-950. http://dx.doi.org/10.1093 / aob/mcm040
Google Scholar

Fruchter, B. (1967). Introduction to factor analysis. New York: D. Van Nostrand Company.
Google Scholar

Geiger, D. R., Koch, K. E., & Shieh, W. J. (1996). Effect of environmental factors on whole plant assimilate partitioning and associated gene expression. J Exp Bot, 47(Special issue), 1229-1238.
Google Scholar

Gilad, Y., Rifkin, S. A., & Pritchard, J. K. (2008). Revealing the architecture of gene regulation: the promise of eQTL studies. Trends in genetics, 24(8), 408-415. http://dx.doi.org/10.1016/j.tig.2008.06.001
Google Scholar

Hodge, A., Berta, G., Doussan, C., Merchan, F., & Crespi, M. (2009). Plant root growth, architecture and function. Plant Soil, 321, 153-187. http://dx.doi.org/10.1007 / s11104-009-9929-9
Google Scholar

Joshi, A. B. (1961). Sesame, A monograph. Indian Cetral Oil Seeds Committee.
Google Scholar

Kasperbauer, M. J. (1987). Far-Red Light Reflection from Green Leaves and Effects on Phytochrome-Mediated Assimilate Partitioning under Field Conditions. Plant Physiol, 85(2), 350-354.
Google Scholar

Lawson, H. A., Cady, J. E., Partridge, C., Wolf, J. B., Semenkovich, C. F., & Cheverud, J. M. (2011). Genetic effects at pleiotropic loci are context-dependent with consequences for the maintenance of genetic varia-tion in populations. PLoS Genet., 7(9), e1002256. http://dx.doi.org/10.1371/journal.pgen.1002256
Google Scholar

Lee, J., & Kaltsikes, P. J. (1973). Multivariate statistical analysis of grain yield and agronomic characters in Durum wheat. Theor. Appl. Genet., 43(5), 226-231.
Google Scholar

Lucas, J. E., Kung, H.-N., & Chi, J.-T. A. (2010). Latent factor analysis to discover pathway-associated puta-tive segmental aneuploidies in human cancers. PLoS Comput Biol, 6(9), e1000920.
Google Scholar

Mangin, B., Thoquet, P., & Grimsley, N. (1998). Pleiotropic QTL analysis. Biometrics, 54(1), 88-99.
Google Scholar

Mansouri, S., & NaJafabadi, M. S. (2004). Study and systemic analysis oon yield and yield components asso-ciation for sesame (Sesamum indicum L.) breeding. Seed & Plant, 20(2), 149-165.
Google Scholar

Mostafavi, K., Shoahosseini, M., & Geive, H. S. (2011). Multivariate analysis of variation among traits of corn hybrids traits under drought stress. Int. J. AgriSci., 1(7), 416-422.
Google Scholar

Narayanan, A., & Reddy, K. B. (1982). Growth, development and yield of sesame (Sesamum indicum L.) cultivars. Field Crop Res. 5, 217-224.
Google Scholar

Reisen, D., Marty, F., & Leborgne-Castel, N. (2005). New insights into the tonoplast architecture of plant vacuoles and vacuolar dynamics during osmotic stress. BMC Plant Biol., 5, 13. http://dx.doi.org/10.1186/1471-2229-5-13
Google Scholar

Rosielle, A. A., & Hamblin, J. (1981). Theoretical aspect of selection for yield in stress and non-stress envi-ronment. Crop Sci., 21(6), 943-946. http://dx.doi.org/10.2135/cropsci1981.0011183X002100060033x
Google Scholar

Sabouri, H., Rabiei, B., & Fazlalipour, M. (2008). Use of selection indices based on multivariate analysis for improv-ing grain yield in rice. Rice Sci., 14(4), 303-310. http://dx.doi.org/10.1016/S1672-6308(09)60008-1
Google Scholar

Salehi, M., Tajik, M., & Ebadi, A. G. (2008). The study of relationship between different traits in common bean (Phaseolus volgaris L.) with multivariate statistical methods. Am.-Eu. J. Agric. & Environ. Sci., 3(6), 806-809.
Google Scholar

Sauer, N. (2007). Molecular physiology of higher plant sucrose transporters. FEBS Lett, 581(12), 2309-2317.
Google Scholar

http://dx.doi.org/10.1016/j.febslet.2007.03.048
Google Scholar

Schadt, E. E., Monks, S. A., Drake, T. A., Lusis, A. J., Che, N., Colinayo, V., Friend, S. H. (2003). Genetics of gene expression surveyed in maize, mouse and man. Nature, 422, 297-302. http://dx.doi.org/10.1038/nature01434
Google Scholar

Shah, F., Huang, J., Cui, K., Nie, L., Shah, T., Chen, C., & Wang, K. (2011). Impact of high-temperature stress on rice plant and its traits related to tolerance. J. Agric. Sci., 1-12. http://dx.doi.org/10.1017 /
Google Scholar

S0021859611000360
Google Scholar

Sharma-Natu, P., & Ghildiyal, M. C. (2005). Potential targets for improving photosynthesis and crop yield. Curr. Sci., 88(12), 1918-1928.
Google Scholar

Sinclair, T. R., & Rufty, T. W. (2012). Nitrogen and water resources commonly limit crop yield increases, not necessarily plant genetics. Glob. Food Sec., 1(2), 94-98. http://dx.doi.org/10.1016/j.gfs.2012.07.001
Google Scholar

Stitt, M., & Schulze, D. (1994). Does Rubisco control the rate of photosynthesis and plant growth? An exer-cise in molecular ecophysiology. Plant, Cell & Environ., 17(5), 465-487. http://dx.doi.org/10.1111 /
Google Scholar

j.1365-3040.1994.tb00144.x
Google Scholar

Taize, L., Zaiger, E. (1998). Plant Physiology. Sundeland: Sinauer Associations.
Google Scholar

Witcombe, J. R., Hollington, P. A., Howarth, C. J., Reader, S., & Steele, K. A. (2007). Breeding for abiotic stresses for sustainable agriculture. Philos Trans R Soc Lond B Biol Sci., 363(1492), 703-16.
Google Scholar

Xu, Z., Zhou, & Shimizu, H. (2010). Plant responses to drought and rewatering. Plant Signal Beh., 5(6), 649-654.
Google Scholar

Zhang, S. W., Li, C. H., Cao, J., Zhang, Y. C., Zhang, S. Q., Xia, Y. F., … Sun, Y. (2009). Altered architec-ture and enhanced drought tolerance in rice via the down-regulation of indole-3-acetic acid by TLD1/OsGH3.13 activation. Plant Physiol, 151(4), 1889-1901. http://dx.doi.org/10.1104/pp.109.146803
Google Scholar

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Published
2014-12-18

Cited by

Mansouri, S., Najafabadi, M. S., Esmailov, M., & Aghaee, M. (2014). Functional factor analysis in sesame under water - limiting stress: New concept on an old method. Plant Breeding and Seed Science, 70, 91–104. Retrieved from http://ojs.ihar.edu.pl/index.php/pbss/article/view/278

Authors

Sadollah Mansouri 
sadollahmasouri@yahoo.com
Oil Seed Crop Res. Department, Seed & Plant Improvement Institute, Karaj, I. R. Iran; Iran, Islamic Republic of

Authors

Masood Soltani Najafabadi 

Oil Seed Crop Res. Department, Seed & Plant Improvement Institute, Karaj, I. R. Iran Iran, Islamic Republic of

Authors

Maghsadollah Esmailov 

Genetics and Selection Department, Agricultural University of Tajikistan, Tajikistan Tajikistan

Authors

Mostafa Aghaee 

Seed & Plant Improvement Institute, Karaj, I. R. Iran Iran, Islamic Republic of

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