AMMI model analysis on the stability and adaptability of highland barley variety |
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DOI:10.7606/j.issn.1000-7601.2016.02.26 |
Key Words: highland barley stability and adaptability AMMI model regional trial |
Author Name | Affiliation | YAN Chang-lan | College of Agronomy, Northwest A&F University, Yangling, Shaanxi 712100, China Qinghai Vocational-Technical College of Animal Husbandry & Veterinary Medicine, Huangyuan, Qinghai, 812100, China | BAI Wen-qin | College of Agronomy, Northwest A&F University, Yangling, Shaanxi 712100, China | GUO Chao | College of Agronomy, Northwest A&F University, Yangling, Shaanxi 712100, China | GAO Jin-feng | College of Agronomy, Northwest A&F University, Yangling, Shaanxi 712100, China | GAO Xiao-li | College of Agronomy, Northwest A&F University, Yangling, Shaanxi 712100, China | YANG Pu | College of Agronomy, Northwest A&F University, Yangling, Shaanxi 712100, China | WANG Peng-ke | College of Agronomy, Northwest A&F University, Yangling, Shaanxi 712100, China |
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Abstract: |
In this research, the AMMI model was used to analyze the stability, discriminative power and adaptability on ten highland barley varieties on trial at eight regional stations during 2009—2011. The results showed that within the trial, variety 0376 (Hiploy/Shencunerleng) gained a high and stable yield; variety 9642 showed the highest yield, good stability, and wide adaptability; variety 9640 exhibited a high yield but low stability and specific adaptability. Additionally, different stations were indicated to have different discriminative powers. The station at West Town in Qinghai may be good for trail by having the strongest discriminative power on varieties. In conclusion, the AMMI model fits well with the experimental data. However, AMMI biplot and stability parameters should be combined for accurate prediction. |
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