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Journal of Integrative Agriculture  2016, Vol. 15 Issue (06): 1218-1227    DOI: 10.1016/S2095-3119(15)61157-1
Crop Genetics · Breeding · Germplasm Resources Advanced Online Publication | Current Issue | Archive | Adv Search |
GGE biplot analysis of yield stability and test location representativeness in proso millet (Panicum miliaceum L.) genotypes
ZHANG Pan-pan1, 2*, SONG Hui3*, KE Xi-wang1, JIN Xi-jun1, YIN Li-hua1, LIU Yang1, QU Yang4, SU Wang2, FENG Nai-jie1, ZHENG Dian-feng1, FENG Bai-li2
1 National Coarse Cereals Engineering Research Center, Heilongjiang August First Agricultural University, Daqing 163319, P.R.China
2 State Key Laboratory of Crop Stress Biology in Arid Areas, Ministry of Science and Technology/Northwest A&F University, Yangling 712100, P.R.China
3 Anyang Academy of Agriculture Sciences, Anyang 455000, P.R.China
4 Baoji Institute of Agricultural Science, Qishan 722400, P.R.China
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Abstract      The experiments were conducted for three consecutive years across 14 locations using 9 non-waxy proso millet genotypes and 16 locations using 7 waxy proso millet genotypes in China. The objectives of this study were to analyze yield stability and adaptability of proso millets and to evaluate the discrimination and representativeness of locations by analysis of variance (ANOVA) and genotype and genotype by environment interaction (GGE) biplot methods. Grain yields of proso millet genotypes were significantly influenced by environment (E), genotype (G) and their interaction (G×E) (P<0.1%). G×E interaction effect was six times higher than G effect in non-waxy group and seven times in waxy group. N04-339 in non-waxy and Neimi 6 (NM6) in waxy showed higher grain yields and stability compared with other genotypes. Also, Neimi 9 (NM9, a non-waxy cultivar) and 90322-2-33 (a waxy cultivar) showed higher adaptability in 7 and in 11 locations, respectively. For non-waxy, Dalat, Inner Mongolia (E2) and Wuzhai, Shanxi (E5) were the best sites among all the locations for maximizing the variance among candidate cultivars, and Yanchi, Ningxia (E10) had the best representativeness. Wuzhai, Shanxi (e9) and Yanchi, Ningxia (e14) were the best representative locations, and Baicheng, Jilin (e2) was better discriminating location than others for waxy genotypes. Based on our results, E10 and e14 have enhanced efficiency and accuracy for non-waxy genotypes and waxy genotypes selection, respectively in national regional test of proso millet varieties.
Keywords:  proso millet        GGE biplot        yield stability        test location representativeness  
Received: 08 April 2015   Accepted:
Fund: 

This research was funded by the National Key Technologies R&D Program of China during the 12th Five-Year Plan period (2014BAD07B03), the National Natural Science Foundation of China (31371529), the Postdoctoral Science Foundation of Heilongjiang Province, China (LBH-Z14177), the project of Education Department in Heilongjiang Province, China (12541599), and the China Agricultural Research System (CARS07-13.5-A9).

Corresponding Authors:  FENG Bai-li, Tel: +86-29-87082889, E-mail: 7012766@163.com; ZHENG Dian-feng, Tel: +86-459-8979675, E-mail: zdffnj@263.net    
About author:  ZHANG Pan-pan, E-mail: zpp35@163.com

Cite this article: 

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