Diversity, Variance, and Stability of Root Phenes of Peanut (Arachis hypogaea L.)

被引:3
|
作者
Li, Lijie [1 ,3 ]
Li, Qian [1 ]
Liu, Yanli [2 ]
Xue, Huiyun [1 ]
Zhang, Xiaotian [1 ]
Wang, Bin [1 ]
Pan, Xiaoping [3 ]
Zhang, Zhiyong [1 ]
Zhang, Baohong [3 ]
机构
[1] Henan Inst Sci & Technol, Henan Collaborat Innovat Ctr Modern Biol Breeding, Xinxiang, Henan, Peoples R China
[2] Xinxiang Acad Agr Sci, Inst Econ Crops, Xinxiang, Henan, Peoples R China
[3] East Carolina Univ, Dept Biol, Greenville, NC 27858 USA
关键词
PHOSPHORUS ACQUISITION; BRANCHING DENSITY; SOIL; GROWTH; NITROGEN; FUTURE; ARCHITECTURE; SYSTEMS; STRESS; PLANTS;
D O I
10.1111/ppl.14207
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
Root phenes are associated with the absorptive efficiency of water and fertilizers. However, there are few reports on the genetic variation and stability of peanut (Arachis hypogaea L.) root architecture under different environments. In this study, the diversity, variance and stability of root phenes of 89 peanut varieties were investigated with shovelomics (high throughput phenotyping of root system architecture) for two years in both field and laboratory experiments. The root phenes of these peanut genotypes presented rich diversity; for example, the value of total root length (TRL) ranged from 347.84 cm to 1013.80 cm in the field in 2018, and from 55.14 cm to 206.22 cm in the laboratory tests. The root phenes of different genotypes varied differently; for example, the coefficient of variation (CV) of TRL ranged from 24.0 to 83.5 across the two-year field test. Field and laboratory evaluations were highly correlated, especially on lateral root density (LRD) and root angle (RA), and the quadrant graph analysis of LRD and RA implied that 69.7% of the roots belong to the same type. These not only further reflect root phenes stability through different environment but also demonstrate that some root phenes identified at early stage can indicate their status at later growth stage. In addition, root phenes showed a strong correlation with shoot growth, especially root dry weight (RDW), TRL and(nodule number?NN. Thus, laboratory tests in combination with field shovelomics can efficiently screen and select genotypes with contrasting root phenes to optimize water and nutrient management.
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页数:10
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