Near infrared spectroscopy prediction of mineral content in botanical fractions from semi-arid grasslands

Monitoring cotton (Gossypium hirsutum L.) leaf ion content and leaf water content in saline soil with hyperspectral reflectance

“…As expected, the results obtained for predicting mineral elements were not as reliable as those for organic compounds due to the lack of a direct relationship between the elements and spectra [Shenk and Westerhaus, 1985;Smith et al, 1991]. The coefficients of determination for predicting ion contents were smaller in our study, similar to the findings of Clark et al [1989] and Ruano-Ramos et al [1999], who estimated the mineral contents of forage and semi-arid grassland samples. This is probably a result of the narrow range of concentrations of minerals our leaf samples and the low concentration of associated organic compounds detected by hyperspectral sampling.…”

“…In the present study, the effect of soil salinity on RWC in cotton showed similar results among different growth stages. It is reported that NIR and SWIR are sensitive to the presence of various trace elements, depending on the forage type and crop species [Ruano-Ramos et al, 1999]. Some minerals (e.g.…”

“…But, the ability of hypersepctral reflectance to estimate mineral contents and ratios has received less attention. Earlier works reporting near-infrared spectroscopy (NIRS) measurement of elements were mainly focused on analysis of hay samples [Clark et al, 1989;Clark et al, 1987;Saiga et al, 1989] and natural grass [Ruano-Ramos et al, 1999]. Cozzolino and Moron [2004] analyzed Na, S, Cu, Fe, Mn, Zn, and B in two types of legumes.…”

The Effect of the Invasive Plant Species Lupinus polyphyllus Lindl. on Energy Recovery Parameters of Semi-Natural Grassland Biomass

“…Compared to other research results from semi-natural grassland biomass [9,10,18,19], the mineral concentration values for the L0 biomass are within the expected range for biomass harvested in June; however, the values for the L100 samples for Ca, Mg and N were considerably higher. This corresponds with previous findings, which likewise found higher mineral content, particularly for Ca, Mg and N [20,21], in legumes and other dicotyledonous plants compared to grasses. However, the observed values for mineral composition, especially for N, K, Mg, S and Cl, led to the conclusion that a direct combustion of the material, be it lupine, semi-natural grassland biomass, or any mixture of the two, as press fluid and press cake originating from grassland biomass with lupine content between 0 (L0) and 100% FM (L100).…”

Feasibility of estimating peanut essential minerals by near infrared reflectance spectroscopy

“…Despite this, several studies describing useful NIR calibrations for minerals analysis have been published. Examples include Ca, K, Mg, and P in forages [4]; Ca, K, Mn, and Zn in perennial legumes [5]; Ca, K, Mg, and P in grassland samples [6]; Fe, K, and Na in Iberian pork loin [7]; B, Na, and S in white clover and lucerne [8]; Ca, Cu, Fe, K, Mn, Na, P, and Zn in animal feed [9]; Ca, Fe, and K in wine [10]; and Ca, NaCl, and Zn in cheese [11]. Correlations of NIR spectra with supposedly NIR-transparent minerals may be due to the association of cations with organic or hydrated inorganic molecules, for example, Ca with malate and Mg with chlorophyll [4].…”