Application of AMMI model in regional testing of potato in Gansu Province
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DOI:10.7606/j.issn.1000-7601.2013.01.12
Key Words: potato  AMMI model  yield stability  site discrimination
Author NameAffiliation
LI Yajie Gansu Provincial Key Lab of Arid Land Crop Science/Gansu Provincial Key Lab of Crop Improvement &Germplasm Enhancement, Lanzhou, Gansu 730070, China
College of Agronomy, Gansu Agricultural Univers ity, Lanzhou, Gansu 730070, China 
BAI Jiangping Gansu Provincial Key Lab of Arid Land Crop Science/Gansu Provincial Key Lab of Crop Improvement &Germplasm Enhancement, Lanzhou, Gansu 730070, China
College of Agronomy, Gansu Agricultural Univers ity, Lanzhou, Gansu 730070, China 
ZHANG Junlian Gansu Provincial Key Lab of Arid Land Crop Science/Gansu Provincial Key Lab of Crop Improvement &Germplasm Enhancement, Lanzhou, Gansu 730070, China
College of Agronomy, Gansu Agricultural Univers ity, Lanzhou, Gansu 730070, China 
WANG Di Gansu Provincial Key Lab of Arid Land Crop Science/Gansu Provincial Key Lab of Crop Improvement &Germplasm Enhancement, Lanzhou, Gansu 730070, China
College of Agronomy, Gansu Agricultural Univers ity, Lanzhou, Gansu 730070, China 
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Abstract:
      AMMI(Additive Main Effects and Multiplicative Int eraction Model) was adopted to conduct comprehensive evaluation on the yield of ten cultivars at seven sites involved in the regional testing of potato in Gansu Province during 2007—2008. The results indicated that the stability of tested cultivars was as follows: L0206-6>L0227-17>L0227-18>Tian 2008-8-2>Fushu 3> CK>34-126>98-6-2>35-62>Longshu 6; the production stability of L0206-6 and 98 -6-2 was higher than others, while that of Longshu 6 was the lowest; the yield of L0227-17, L0206-6, L0227-18 and Tian 2 008-8-2 was relative high, while that of 98-6-2 was the lowest. The results also suggested that the discriminative parameter varied among different testing site s, which could be ranked as: Tianshui>Huichuan>Anding>Jingning>Linxia>Qinwa ngchuan>Tanchang. Therefore, Tianshui was the site with a highest discrimination, while Tanchang was the site with a lowest discrim ination in selecting cultivars. The principle component of AMMI model could expl ain 93% of total sum of squares of interaction, being more effective in analyzin g the interaction between gene and environment than the traditional regression m odel.