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Ali Arminian
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A new computerized program for grain yield stability analysis in wheat Ali Arminian; Mohammad Mehdi Rahimi
Proceedings of The Annual International Conference, Syiah Kuala University - Life Sciences & Engineering Chapter Vol 1, No 1 (2011): Life Sciences
Publisher : Syiah Kuala University

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 Abstract. Advanced statistical codes we present in MINITAB statistical environment, produces comprehensive computational and graphical outputs for the best stability analysis, additive main and multiplicative interaction effect (AMMI). The experiment comprised of a population of doubled-haploid wheat lines at 2006-2009 ys. As lattice designs. The results of AMMI analysis of grain yield showed the significant (P0.01) effect of years, lines, and their interaction effect, along with 49.1, 7.80 20.63% of the total variation, respectively. Also the written macro partitioned the GEI effect to three IPCA scores, accounted for 40.70, 35.32 23.96% of the GEI, respectively. The results of the cross-validation with FR (Cornelius) indicated the appropriateness of AMMI2 model, whereby the biplots of genotypes years drawn, by which the stable genotypes were chosen. This program provided useful computations such as: principal component analysis, cluster analysis, Finlay-Wilkinson stability regression analysis and so on. In general, this program has a high potential for AMMI yield (etc) stability analyses, following estimating their parameters and could be applied by researchers working with stability analysis in plant breeding programs to obtain the most tolerant/resistant cultivars during multienvironment trials.
Breeding better Flax (Linum usitatissimum L.) for agronomic and consumption values under different field treatments Mohammad Mehdi Rahimi; Mohammad Amin Zarei; Ali Arminian
Proceedings of The Annual International Conference, Syiah Kuala University - Life Sciences & Engineering Chapter Vol 1, No 1 (2011): Life Sciences
Publisher : Syiah Kuala University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (153.458 KB)

Abstract

We studies some best levels of N fertilizer (0 to 150 kgha-1) and cultivation dates on grain yield its related characters and 5 food consumption compositions on 8 Linseed varieties at Yasooj Azad University, Iran, during 2009 and 2010 in field experiments as RBD split-plot designs. As a result, early sowings (14th March) along with moderate-to-high N fertilizer (100-150 kgha-1) led to highest yields. Significant positive associations found between agronomic and biochemical; oil percentage and Linoleic fatty acids. Path coefficients analysis revealed interestingly that Capsule number and primary branch per plant, plant height and 1000-seed weight had the most positive direct effects on seed yield. According to PCA, first two traits, along with height and 1000-seed weight, oleic and Linoleic acids and dry weight had the most contributions, interpreting almost all the variation. Thus, to  simultaneous  breeding  of high  oil and yielding  flax varieties, capsule number per plant, primary branch per plant, plant height and 1000-seed weight should firstly be considered followed by oleic and Linoleic fatty acids
Co-Authors Mohammad Amin Zarei Mohammad Mehdi Rahimi Mohammad Mehdi Rahimi