Multi-Environment Evaluation and Genotype ×Environment Interaction Analysis of Sorghum [<i>Sorghum bicolor</i>(L.) Moench] Genotypes in Highland Areas of Ethiopia

作     者：Amare Seyoum Zigale Semahegn Amare Nega Sewmehone Siraw Adane Gebereyhones Hailemariam Solomon Tokuma Legesse Kidanemaryam Wagaw Temesgene Terresa Solomon Mitiku Yirgalem Tsehaye Moges Mokonen Wakjira Chifra Habte Nida Alemu Tirfessa Amare Seyoum;Zigale Semahegn;Amare Nega;Sewmehone Siraw;Adane Gebereyhones;Hailemariam Solomon;Tokuma Legesse;Kidanemaryam Wagaw;Temesgene Terresa;Solomon Mitiku;Yirgalem Tsehaye;Moges Mokonen;Wakjira Chifra;Habte Nida;Alemu Tirfessa

作者机构：Ethiopian Institute of Agricultural Research (EIAR) Melkassa Agriculture Research Center Adama Ethiopia 

出 版 物：《American Journal of Plant Sciences》 (美国植物学期刊（英文）)

年 卷 期：2020年第11卷第12期

页      面：1899-1917页

学科分类：09[农学] 0901[农学-作物学] 

主　　题：G × E Interaction Additive Main Effect and Multiplicative Interaction (AMMI) Genotype and Genotype by Environment (GGE) Genotypes & Stability 

摘      要：Sorghum [Sorghum bicolor (L.) Moench] is a high-yielding, nutrient-use efficient, and drought tolerant crop that can be cultivated on over 80 per cent of the world’s agricultural land. However, a number of biotic and abiotic factors are limiting grain yield increase. Diseases (leaf and grain) are considered as one of the major biotic factors hindering sorghum productivity in the highland and intermediate altitude sorghum growing areas of Ethiopia. In addition, the yield performance of crop varieties is highly influenced by genotype × environment (G × E) interaction which is the major focus of researchers while generating improved varieties. In Ethiopia, high yielding and stable varieties that withstand biotic stress in the highland areas are limited. In line with this, the yield performance of 21 sorghum genotypes and one standard check were evaluated across 14 environments with the objectives of estimating magnitude G × E interaction for grain yield and to identify high yielder and stable genotypes across environments. The experiment was laid out using Randomized Complete Block Design with three replications in all environments. The combined analysis of variance across environments revealed highly significant differences among environments, genotypes and G × E interactions of grain yield suggesting further analysis of the G × E interaction. The results of the combined AMMI analysis of variance indicated that the total variation in grain yield was attributed to environments effects 71.21%, genotypes effects 4.52% and G × E interactions effects 24.27% indicating the major sources of variation. Genotypes 2006AN7010 and 2006AN7011 were high yielder and they were stable across environments and one variety has been released for commercial production and can be used as parental lines for genetic improvement in the sorghum improvement program. In ge