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ผลงานตีพิมพ์ในวารสารวิชาการRecent Progress on Ge/SiGe Quantum Well Optical Modulators, Detectors, and Emitters for Optical Interconnectsผู้แต่ง:Dr.Papichaya Chaisakul, Associate Professor, Vladyslav Vakarin, Jacopo Frigerio, Daniel Chrastina, Giovanni Isella, Laurent Vivien, Delphine Marris-Morini, วารสาร: |
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การประชุมวิชาการBroadband mid infrared Ge-rich SiGe waveguides and Mach-Zehnder interferometric devices: design, fabrication and characterizationผู้แต่ง:J. M. Ram?rez, V. Vakarin, Q. Liu, A. Ballabio, J. Frigerio, Dr.Papichaya Chaisakul, Associate Professor, D. Chrastina, X. Le Roux, C. Gilles, G. Maisons, M. Carras, L. Vivien, G. Isella, D. Marris-Morini, การประชุมวิชาการ: |
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ผลงานตีพิมพ์ในวารสารวิชาการTernary pentagonal BXN (X = C, Si, Ge, and Sn) sheets with high piezoelectricityผู้แต่ง:Thanasarnsurapong, T., Detrattanawichai, P., Dabsamut, K., Chatratin, I., Dr.Jiraroj T-Thienprasert, Associate Professor, Jungthawan, S., Dr.ADISAK BOONCHUN, Associate Professor, วารสาร: |
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หัวเรื่อง:ไม่มีชื่อไทย (ชื่ออังกฤษ : The Effect of Genotypes and GE Interaction on Starch Content of Cassava) ผู้เขียน:ดร.ประเสริฐ ฉัตรวชิระวงษ์, รองศาสตราจารย์, Opas Boonseng, Anusart Summatraya สื่อสิ่งพิมพ์:pdf AbstractThe objective of this study is to explore the effect of genotype and genotype x environment on starch content percentage of 5 cassava genotypes grown under several environments in early and late rainy seasons. The results indicated that there was less seasonal effect on genotypic performance. There was more GE interaction in late rainy season. The sum of squares of GE interaction was partitioned using 3 techniques, viz. linear regression (REG), using Eberhart and Russell (1966) stability, and Additive Main effects and the Multiplicative Interaction (AMMI) model in 2 principal component axes. The AMMI model can explain a large portion of sum of squares, and thus more effective in partitioning the GE interaction SS than the REG technique. Grouping of homogeneous environments using cluster analysis resulted in almost the same genotype ranking in each group. Environmental grouping can then be used to reduce the reversal GE interaction. |