Abstract

Root system architecture is a resource with untapped potential for agricultural improvements. The presented data describes the root system architecture of water efficient maize lines to different nitrogen fertilizer rates and plant density at two locations in North West Province of South Africa. The experiment was carried out during the 2015/16 and 2016/17 planting seasons. The root system architecture traits brace root angle, brace root number, brace root branch depth, crown root angle, crown root number, crown root branch depth and number of lateral roots were scored with the aid of shovelomics score board. ANOVA was used to analyze the data set and means separated with DMRT (p ≤ 0.05).The regression analysis was used to determine the relationship among nitrogen fertilizer and root architecture system.

Highlights

  • Data on root system architecture of water efficient maize as affected by different nitrogen fertilizer rates and plant density

  • Root system architecture is a resource with untapped potential for agricultural improvements

  • The root system architecture traits brace root angle, brace root number, brace root branch depth, crown root angle, crown root number, crown root branch depth and number of lateral roots were scored with the aid of shovelomics score board

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Summary

Data accessibility

Agricultural and Biological Science: Agronomy and Crop Science Plant physiology, plant biology, plant breeding, crop nutrition and soil fertility Table Figure Root system architecture were assess using shovelomics score board Raw data Root system architecture was assessed at tasseling and physiological maturity stages using two uprooted plants from the based at 30 cm in each plot. The experiment was carried out at the Molelwane, North-West University (NWU) Research Farm (25° 481S, 45° 381 E.; 1012 m asl) and Taung Experimental Station (27 301S, 24 301E; 1111 m asl) of the Provincial Department of Agriculture Research Station during the 2015/2016 and 2016/2017 planting seasons. Both sites are located in the North West Province of South Africa. The data indicated the effect of interaction of nitrogen fertilizer rates, plant densities and locations on root system architecture. The data revealed the effect of soil types of each location on root system architecture. The data indicated the effect of interaction of nitrogen fertilizer rates, plant densities and locations on root system architecture. The data can be used by plant physiologist, plant breeders, crop nutritionist and general agronomist

Data description
Description of study area
Assessment of root system architecture
Findings
Statistical analysis
Full Text
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