Combining Genetic Analysis and Multivariate Modeling to Evaluate Spectral Reflectance Indices as Indirect Selection Tools in Wheat Breeding under Water Deficit Stress Conditions

MLA

Salah El-Hendawy, et al. “Combining Genetic Analysis and Multivariate Modeling to Evaluate Spectral Reflectance Indices as Indirect Selection Tools in Wheat Breeding under Water Deficit Stress Conditions.” Remote Sensing, vol. 12, no. 9, May 2020, p. 1480. EBSCOhost, https://doi.org/10.3390/rs12091480.

APA

Salah El-Hendawy, Nasser Al-Suhaibani, Ibrahim Al-Ashkar, Majed Alotaibi, Muhammad Usman Tahir, Talaat Solieman, & Wael M. Hassan. (2020). Combining Genetic Analysis and Multivariate Modeling to Evaluate Spectral Reflectance Indices as Indirect Selection Tools in Wheat Breeding under Water Deficit Stress Conditions. Remote Sensing, 12(9), 1480. https://doi.org/10.3390/rs12091480

Chicago

Salah El-Hendawy, Nasser Al-Suhaibani, Ibrahim Al-Ashkar, Majed Alotaibi, Muhammad Usman Tahir, Talaat Solieman, and Wael M. Hassan. 2020. “Combining Genetic Analysis and Multivariate Modeling to Evaluate Spectral Reflectance Indices as Indirect Selection Tools in Wheat Breeding under Water Deficit Stress Conditions.” Remote Sensing 12 (9): 1480. doi:10.3390/rs12091480.