title: Phenotyping for the dynamics of field wheat root system architecture.
abstract: We investigated a method to quantify field-state wheat RSA in a phenotyping way, depicting the 3D topology of wheat RSA in 14d periods. The phenotyping procedure, proposed for understanding the spatio-temporal variations of root-soil interaction and the RSA dynamics in the field, is realized with a set of indices of mm scale precision, illustrating the gradients of both wheat root angle and elongation rate along soil depth, as well as the foraging potential along the side directions. The 70d was identified as the shifting point distinguishing the linear root length elongation from power-law development. Root vertical angle in the 40 mm surface soil layer was the largest, but steadily decreased along the soil depth. After 98d, larger root vertical angle appeared in the deep soil layers. PAC revealed a stable root foraging potential in the 0-70d period, which increased rapidly afterwards (70-112d). Root foraging potential, explained by MaxW/MaxD ratio, revealed an enhanced gravitropism in 14d period. No-till post-paddy wheat RLD decreased exponentially in both depth and circular directions, with 90% roots concentrated within the top 20 cm soil layer. RER along soil depth was either positive or negative, depending on specific soil layers and the sampling time.
authors.affiliation: Key Laboratory of Intelligent Agricultural Equipment of Jiangsu Province, College of Engineering, Nanjing Agricultural University, Nanjing 210031, China.
authors.forename: Xinxin
authors.initials: X
authors.lastname: Chen
authors.affiliation: Key Laboratory of Intelligent Agricultural Equipment of Jiangsu Province, College of Engineering, Nanjing Agricultural University, Nanjing 210031, China.
authors.forename: Qishuo
authors.initials: Q
authors.lastname: Ding
authors.affiliation: Institute of Biosystems Engineering, Poznań University of Life Sciences, Poland.
authors.forename: Zbigniew
authors.initials: Z
authors.lastname: Błaszkiewicz
authors.affiliation: Shanghai University of Medicine &Health Sciences, 101 Yingkou Road, Yangpu district, Shanghai, 200093, China.
authors.forename: Jiuai
authors.initials: J
authors.lastname: Sun
authors.affiliation: Key Laboratory of Intelligent Agricultural Equipment of Jiangsu Province, College of Engineering, Nanjing Agricultural University, Nanjing 210031, China.
authors.forename: Qian
authors.initials: Q
authors.lastname: Sun
authors.affiliation: Key Laboratory of Intelligent Agricultural Equipment of Jiangsu Province, College of Engineering, Nanjing Agricultural University, Nanjing 210031, China.
authors.forename: Ruiyin
authors.initials: R
authors.lastname: He
authors.affiliation: Key Laboratory of Intelligent Agricultural Equipment of Jiangsu Province, College of Engineering, Nanjing Agricultural University, Nanjing 210031, China.
authors.forename: Yinian
authors.initials: Y
authors.lastname: Li
mesh_terms: D000069599:Crop Production; D018522:Gravitropism; D010641:Phenotype; D018517:Plant Roots / Q000033:anatomy & histology* / Q000254:growth & development / Q000502:physiology; D012987:Soil; D014908:Triticum / Q000033:anatomy & histology* / Q000254:growth & development / Q000502:physiology
chemical_list: D012987:Soil