Sadeh RS
Kheir FK
Pivchenko AP
Mathenge MM
Ben-David RB
Peleg ZP
Herrmann IH
Introduction
Under the Mediterranean basin climatic conditions, terminal drought stress is the major constraint to wheat production. The Mediterranean cropping system is characterized by a short and highly fluctuating growing season, which is expected to accentuate due to climatic change when crops are exposed to relatively longer periods of extreme conditions such as drought and heat [1]. Currently characterization of drought-related traits is time- and labor-consuming which inhibited breeding programs. Remote sensing is a discipline highly adapted for evaluating rapidly and indestructibly physiological traits with great importance for wheat breeding under drought conditions [2]. Combining genomic information and high-throughput phenotyping data and analysis supports developing cultivars more suitable for future challenges. It will enable breeders to screen larger populations faster and with higher accuracy, assess complex traits and increase the genetic gain [3].
Objectives
The main goal of this study was to develop and test a combined approach between hyperspectral time series and genomic data for rapid and accurate screening of wheat genotypes under drought conditions.
תפריט נגישות
