TY - JOUR
T1 - Linear discriminant analysis reveals differences in root architecture in wheat seedlings related to nitrogen uptake efficiency
AU - Kenobi, Kim
AU - Atkinson, Jonathan A.
AU - Wells, Darren
AU - Gaju, Oorbessy
AU - de Silva, Jayalath G.
AU - Foulkes, M. John
AU - Dryden, Ian L.
AU - Wood, Andrew T. A.
AU - Bennett, Malcolm J.
N1 - Publisher Copyright:
© The Author 2017. Published by Oxford University Press on behalf of the Society for Experimental Biology.
PY - 2017/10/13
Y1 - 2017/10/13
N2 - Root architecture impacts water and nutrient uptake efficiency. Identifying exactly which root architectural properties influence these agronomic traits can prove challenging. In this paper, approximately 300 wheat (Triticum aestivum) plants were divided into four groups using two binary classifications, high versus low nitrogen uptake efficiency (NUpE), and high versus low nitrate in the growth medium. The root system architecture for each wheat plant was captured using 16 quantitative variables. The multivariate analysis tool, linear discriminant analysis, was used to construct composite variables, each a linear combination of the original variables, such that the score of the plants on the new variables showed the maximum between-group variability. The results show that the distribution of root-system architecture traits differs between low- and high-NUpE plants and, less strongly, between low-NUpE plants grown on low versus high nitrate media.
AB - Root architecture impacts water and nutrient uptake efficiency. Identifying exactly which root architectural properties influence these agronomic traits can prove challenging. In this paper, approximately 300 wheat (Triticum aestivum) plants were divided into four groups using two binary classifications, high versus low nitrogen uptake efficiency (NUpE), and high versus low nitrate in the growth medium. The root system architecture for each wheat plant was captured using 16 quantitative variables. The multivariate analysis tool, linear discriminant analysis, was used to construct composite variables, each a linear combination of the original variables, such that the score of the plants on the new variables showed the maximum between-group variability. The results show that the distribution of root-system architecture traits differs between low- and high-NUpE plants and, less strongly, between low-NUpE plants grown on low versus high nitrate media.
KW - linear discriminant analysis
KW - Mahalanobis distance
KW - nitrogen uptake efficiency
KW - plant phenotyping
KW - root system architecture
KW - Watkins lines
KW - Triticum aestivum
KW - wheat root biology
KW - Linear discriminant analysis
KW - Nitrates/metabolism
KW - Seedlings/anatomy & histology
KW - Discriminant Analysis
KW - Plant Roots/anatomy & histology
KW - Triticum/anatomy & histology
KW - Nitrogen/metabolism
UR - http://www.scopus.com/inward/record.url?scp=85032874834&partnerID=8YFLogxK
U2 - 10.1093/jxb/erx300
DO - 10.1093/jxb/erx300
M3 - Article
C2 - 29048563
SN - 0022-0957
VL - 68
SP - 4969
EP - 4981
JO - Journal of Experimental Botany
JF - Journal of Experimental Botany
IS - 17
ER -