Interpreting Variety-Location-Fertilizer Interactions to Enhance Foxtail Millet Productivity in Northern China
文献类型： 外文期刊
作者： Cui, Jihan 1 ; Xia, Xueyan 1 ; Zhao, Yu 1 ; Liu, Meng 1 ; Xiao, Nuoya 1 ; Guo, Shuai 1 ; Lu, Yiwei 1 ; Li, Junxia 2 ; Wei, Zhimin 1 ; Gao, Fangchao 3 ; Yang, Ping 4 ; Li, Shunguo 1 ;
作者机构： 1.Hebei Acad Agr & Forestry Sci, Natl Millet Improvement Ctr, Millet Res Inst, Hebei Coarse Grain Res Lab, Shijiazhuang 050035, Hebei, Peoples R China
2.Henan Acad Agr Sci, Cereal Crops Inst, Zhengzhou 450002, Peoples R China
3.Chinese Acad Agr Sci, Inst Crop Sci, Natl Engn Lab Crop Mol Breeding, Beijing 100081, Peoples R China
4.Shandong Zibo Acad Agr Sci, Zibo 255033, Peoples R China
关键词： Setaria italica; foxtail millet; variety-location-fertilizer interactions; yield; fertilizer; meteorological factors
期刊名称：AGRONOMY-BASEL （ 影响因子：3.949； 五年影响因子：4.117 ）
ISSN：
年卷期： 2022 年 12 卷 9 期
页码：
收录情况： SCI
摘要： Foxtail millet (Setaria italica (L.) P. Beauv.) is an important traditional cereal crop in dryland ecological agriculture in China and is widely grown in India, the United States, and Nigeria. It is of significance to understand the variety-location-fertilizer (V-L-F) interaction for highly efficient production. Therefore, a two-year field experiment was conducted with six varieties in five locations, and data were analyzed by combined ANOVA analysis, redundancy analysis (RDA), and additive main multiplicative interaction (AMMI). The results showed that the mean sum of squares was significantly different among years, locations, varieties, fertilizations, and their interactions, except for Y-V and V-F interactions. The contributions of various factors to yield variation varied, location was the largest contributor (38.7%), followed by year (33.6%), and variety and fertilizer contributed 7.1% and 3.2%, respectively. JI25 was widely adapted, and its yield was stable and higher than that of others over diverse environments in two years. The RDA results showed that two principal components explained more than 66.1% of the yield variance, while more than 63.0% of the variances were clustered in the first factor. Excessive single rainfall or total rainfall and air temperature (especially minimum temperature) were significantly associated with the millet yield. The results offered an important reference for variety layout, natural resource potential mining, and formulation of efficient green cultural practices.
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