Parametric Statistical Methods for Evaluating Barley Genotypes in Multi-environment Trials

Journal Title: Scientia Agriculturae - Year 2013, Vol 1, Issue 2

Abstract

 The current study aimed at assessing twelve genotypes of barley in a randomized complete blocks design with 3 replications across 8 environments (the combinations of 2 years x 2 locations x 2 sowing dates) during 2008/2009-2009/2010 seasons in Egypt. Significant differences were observed among barley genotypes for heading date, grain filling, number of spike/m2, spike length, thousand grain weight and grain yield (ardab/fed). Combined analysis of variance of grain yield of twelve genotypes tested in eight environments showed highly significant (p<0.01) differences between the genotypes, between environments and for GEI, of all traits under study, suggesting differential response of genotypes across testing environments and the validity of stability analysis. To quantify yield stability, six parametric stability statistics were calculated (bi , S2di , Ri2, Wi2, S2i and CVi). According to the stability parameters, for grain yield of barley genotypes, the results revealed that genotypes Giza 123, Giza 129, Giza 127, G4, G2, G6 and G8 were more stable genotypes for 7, 7, 7, 5, 4, 4 and 4 out of all 7 stability statistics used, respectively. Thus, these genotypes would be considered to be more stable than others for these statistics. This implies therefore that there genotypes are of low contribution to the genotypic by environment interaction. These genotypes may be utilized as donor parents for stability in barley improvement programs, and could be recommended to be as commercial stable high yielding cultivars. Highly significant rank correlations coefficient were found among S2di, W2i and Ri2 implying their close similarity and effectiveness in detecting stable genotypes and they are equivalent in measuring stability. Hence any one of these parameters could be used to describe genotypes stability. Our results showed that high-yielding genotypes can differ in yield stability, and suggest that yield stability and high grain yield are not mutually exclusive.

Authors and Affiliations

Fawzy F Saad, Ashraf A Abd El-Mohsen , Ismaeil H Al-Soudan

Keywords

Related Articles

Impact of Nitrogen and Potash on Growth, Flower and Seed Yield of African Marigold (Tagetes erecta L.)

 Marigold is an important flowering crop that is grown worldwide for its beauty and landscape industry. Present study was carried out to check the impact of nitrogen and potash on growth, flower and seed yield of Af...

 Allelopathic effects of Hyptis suaveolens L. on growth and metabolism of pea seedlings

 The present study deals with the allelopathic stress caused by allelochemicals present in leachate of Hyptis suaveolens L. on growth and metabolism of pea seedlings. Seeds were soaked in distilled water for 3 hours...

 Fumigant toxicity of essential oils from citrus reticulate Blanco fruit peels against Rhyzopertha dominica F. (Col.: Bostrichidae)

 The insecticidal activity of a large number of essential oils and other plant extracts has been assessed against several major agricultural pests. This study was conducted to determine the insecticidal activity of...

 Effects of Planting Methods, Nitrogen Fertilizer and Plant Density on Quality and Quantity of Borage (Borago officinalis L.)

 In order to study the effect of two planting methods (Furrow and Basin) three within row distances (15, 20 and 25 cm) and three levels of nitrogen fertilizer (50,100 and 150 kg.ha) on the quality and quantity of yi...

 The Effect Of Bacillus Thuringiensis On The Quantity Of Potato Leaves Epiphytic Microflora And It´S Fungistatic Action

 The β-exotoxin containing enthomopathogenic strain B. thuringiensis 994, in first two days after processing the potato plants with the bioinsecticide, promotes the decreasing a number of ammonificators, fungus and...

Download PDF file
  • EP ID EP141828
  • DOI -
  • Views 105
  • Downloads 0

How To Cite

Fawzy F Saad, Ashraf A Abd El-Mohsen, Ismaeil H Al-Soudan (2013).  Parametric Statistical Methods for Evaluating Barley Genotypes in Multi-environment Trials. Scientia Agriculturae, 1(2), 30-39. https://europub.co.uk/articles/-A-141828