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Showing 2 results for Non-Parametric
Seyed Sajad Sohrabi, Seyyed Mohsen Sohrabi, Seyed Karim Mousavi, Mohsen Mohammadi,
Volume 7, Issue 1 (9-2020)
Abstract
Saffron (Crocus sativus L.) is the most valuable and expensive spice in the world. The stigmas of saffron are the source of valuable apocarotenoids such as crocin, picrocrocin and safranal. transcriptomic and expression studies of genes are important steps in investigating of secondary metabolites in plants. One of the important prerequisites for such studies is the existence of reliable and stable reference genes to normalize the expression of other genes. In the present study, eight reference genes were identified and isolated using transcriptome of saffron and their expression stability was evaluated by nonparametric statistics and methods. The results of amplification and sequencing showed accurate identification of eight reference genes Actin, EF1, GAPDH, H3, MDH, TBP, UBC and UBQ. The expression stability evaluation revealed that MDH and UBQ genes had the highest stability among different saffron tissues and TBP had the lowest stability among them. In this study, for first time, eight reference genes were isolated from saffron and their expression stability was evaluated. The reference genes identified in the present study can be used as stable genes to normalize gene expression in transcriptomic and expression studies of saffron plant.
Samaneh Akbari, Omidali Akbarpour, Payam Pezeshkpour,
Volume 8, Issue 1 (8-2021)
Abstract
The challenge of the interaction of genotype × environment is one of the main issues in plant breeding. Various statistical methods to estimate the interaction of genotype × environment and choice the stable and productive genotype(s) have been introduced. In this study, 14 lentil genotypes along with two controls (Sepehr and Gachsaran cultivars) were evaluated during four growing seasons (2016-2020). The experiments were conducted in a randomized complete blocks design in three replications at Sarab Changai Agricultural Research Station, Khorammabad (Iran). The combined analysis of variance was used to investigate the interaction of genotype × environment, and results of the analysis showed significant effects for genotype, year, and genotype × environment interaction. Genotypes G5 (FLIP2014-032L) and G12 (ILL8006) were introduced based on Si(1), Si(2), and NPi(1) statistics as stable and high-yielding genotypes. Based on various non-parametric statistics, genotypes G5 (FLIP2014-032L) with a mean grain yield of 1574.68 kg.ha-1 and G12 (ILL8006) with a mean grain yield of 1333.6 kg.ha-1 were introduced as stable genotypes. The heritability rate was estimated on the plot mean basis for yield trait in four years (0.61 ± 0.18) which indicated the capability of the studied genotypes to be selected and improved for grain yield. Based on the results of cluster analysis, the genotypes were divided into three main clusters. The highest distance was observed between the second and third groups. The first cluster included highly stable genotypes.
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