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Analysis of Genotype-by-Environment Interaction for Grain Yield of Rainfed Durum Wheat Genotypes in Warm Winter Areas of Iran
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  • Analysis of Genotype-by-Environment Interaction for Grain Yield of Rainfed Durum Wheat Genotypes in Warm Winter Areas of Iran
  • Analysis of Genotype-by-Environment Interaction for Grain Yield of Rainfed Durum Wheat Genotypes in Warm Winter Areas of Iran
저자명
Mohammadi. Reza,Mohammadi. Mohtasham,Karimizadeh. Rahmatollah,Amri. Ahmed
간행물명
Journal of crop science and biotechnology
권/호정보
2010년|13권 4호|pp.267-274 (8 pages)
발행정보
한국작물학회
파일정보
정기간행물|ENG|
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이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
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기타언어초록

This study was performed for pattern analysis of genotype-by-environment (GE) interaction on 20 durum wheat genotypes grown in 15 testing environments during 2004 - 06 in Iran. Combined analysis of variance showed significant genotypes (G), environments (E), and GE interactions (P < 0.01), with environmental main effects being the predominant source of variation, followed by GE interaction. The results showed various patterns of genotype responses to different environment groups and assisted in structuring the durum wheat testing locations with identification of two major-environment groups with high genotype discrimination ability. The locations (Gachsaran and Ilam) corresponding to warm and semi-arid aresa were similar in genotype discrimination and showed no association with the other testing locations (Gonbad, Moghan, and Khoramabad) representing the Mediterranean area, indicating they differ in rankings of genotypes. The top-yielding genotypes, G13, Gl4 and G9, were highly adapted to warm and semi-arid environments, but those corresponding to the Mediterranean area had a high ability to discriminate the genotypes G16, G11, and Saimareh. The stability and adaptability of specific genotypes were assessed by plotting their nominal grain yields at specific environments in an ordination biplot, which aided in the identification of environment groups. Appropriate check genotypes for all environments or for specific environments were also identified. Pattern analysis allowed a sensible and useful summarization of GE interaction data set and helped to facilitate selecting superior genotypes for target-growing sites.