Comparative Performance of Spectral Reflectance Indices and Multivariate Modeling for Assessing Agronomic Parameters in Advanced Spring Wheat Lines Under Two Contrasting Irrigation Regimes

Comparative Performance of Spectral Reflectance Indices and Multivariate Modeling for Assessing Agronomic Parameters in Advanced Spring Wheat Lines Under Two Contrasting Irrigation Regimes

The incorporation of nondestructive and cost-effective tools in genetic drought studies in combination with reliable indirect screening criteria that exhibit high heritability and genetic correlations will be critical for addressing the water deficit challenges of the agricultural sector under arid...

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Bibliographic Details
Main Authors: Salah E. El-Hendawy, Majed Alotaibi, Nasser Al-Suhaibani, Khalid Al-Gaadi, Wael Hassan, Yaser Hassan Dewir, Mohammed Abd El-Gawad Emam, Salah Elsayed, Urs Schmidhalter
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-11-01
Series:Frontiers in Plant Science
Subjects:
partial least squares regression
phenomics
phenotyping
proximal sensing techniques
recombinant inbred lines
stepwise multiple linear regression
Online Access:https://www.frontiersin.org/article/10.3389/fpls.2019.01537/full

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