Use of Vis–NIR reflectance data and regression models to estimate physiological and productivity traits in lucerne (Medicago sativa)

Volume: 71, Issue: 1, Pages: 90 - 90
Published: Jan 1, 2020
Abstract
Lucerne (alfalfa, Medicago sativa L.) is grown extensively worldwide owing to its high forage biomass production and nutritional value. Although this crop is characterised as being tolerant to drought, its production and persistence are affected by water stress. Selection of genotypes of high yield potential and persistence after a long period of drought is a major objective for lucerne-breeding programmes in Mediterranean environments. This...
Paper Details
Title
Use of Vis–NIR reflectance data and regression models to estimate physiological and productivity traits in lucerne (Medicago sativa)
Published Date
Jan 1, 2020
Volume
71
Issue
1
Pages
90 - 90
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