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Research Article Open access CC BY 3.0

Using Regression Indices and Multiple Criteria Analysis for Study of Some Rice Genotypes under Interaction of Variable Environmental Conditions

Atif Elsadig Idris, Khalid A. Mohamed, Hassan Ibrahim Mohammed

Journal of Experimental Agriculture International · pp. 407–425 · Published 10 May 2012

10.9734/AJEA/2012/1193

Abstract

Sixteen genotypes of rice (Oryza sativa L.) were evaluated during 2008 and 2009 growing seasons at two regions at the State of White Nile- Sudan (EDduim and Kosti) to assess stability of performance, and identify high yielding genotypes. The aim of the comparative study was to assess the performance of breeding lines developed for various ecosystems and to identify stable genotypes with wide adaptability. A randomized complete block design with three replications was used in each location. Combined analysis of variance revealed highly significant effects of locations, seasons, genotypes and their interactions for most of the studied traits. All the genotypes gave high grain yield which ranged from 2.17 to 4.03 t ha-1 under irrigated conditions. Simple and combined analyses of variance indicated that genotypes differed significantly in grain yield, (NERICA 4, NERICA 14, NERICA 15, YUNLU 33 and WAB-1-38-19-14-P2-HB) were higher yielding genotypes giving 3.78, 4.03, 3.24, 3.55 and 3.51 t ha-1 respectively. Due to the observed temporal and spatial variability multi-objective compromise programming technique is employed to screen these Rice (Oryza sativa L.) genotypes according to their vegetative and yield traits for purpose of selecting the most stable ones that suit irrigated farming conditions of the studied areas Ranking of alternatives was explored in reference to selection criteria weights preferred by an agronomist, in comparison to equal weights. Two genotypes, NERICA 14 and YUNLU 33, were classified as high yielding and stable genotypes across environments (locations and years) because of their high grain yield and best performance of traits, with both a regression coefficient and multi-criteria analysis. These two genotypes could be used in the breeding program and/or may be released to farmers for cultivation in the White Nile State.

Rice yield stability variability genotypes multiple-objective optimization multi criteria compromise solutions agronomic traits.

References (17)

  1. 1 Statistical Procedures for Agricultural Research. [DOI]
  2. 2 Stability Parameters for Comparing Varieties 1 [DOI]
  3. 3 The analysis of adaptation in a plant-breeding programme [DOI]
  4. 4 Stability Analysis in Plant Breeding [DOI]
  5. 5 Stability Analysis: Where Do We Stand? 1 [DOI]
  6. 6 The analysis of groups of experiments [DOI]
  7. 7 A SUPERIORITY MEASURE OF CULTIVAR PERFORMANCE FOR CULTIVAR × LOCATION DATA [DOI]
  8. 8 A technique for evaluating the ability of selections to yield consistently in different locations or seasons [DOI]
  9. 9 Genetic parameters of variability, correlation and path-coefficient studies for grain yield and other yield Attributes among rice blast disease resistant genotypes of rice (Oryza sativa L.) [DOI]
  10. 10 Stability of performance of tetraploid wheat landraces in the Ethiopian highland [DOI]
  11. 11 Genotype-environment interaction and phenotypic stability for girth growth and rubber yield of Hevea clones in São Paulo State, Brazil [DOI]
  12. 12 Genetic variation in nitrogen efficiency among cultivars of irrigated rice in Senegal [DOI]
  13. 13 Repeatability of the Stability‐variance Parameter in Oats1 [DOI]
  14. 14 Genetic and Genotype ✕ Environment Effects for Rough Rice and Head Rice Yields [DOI]
  15. 15 Selection of drought tolerant and high water use efficient rice cultivars through 13C isotope discrimination technique.
  16. 16 Stability Study For Growth Duration And Grain Yield Of Exotic Hybrid Rice Genotypes In Bangladesh [DOI]
  17. 17 Genotype x environment interaction for grain yield in lowland rice cultlvars

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