Comparison of benchtop and handheld near‐infrared spectroscopy devices to determine forage nutritive value

Acosta, Juan J.; Castillo, Miguel S.; Hodge, Gary R.

doi:10.1002/csc2.20264

Cited by 27 publications

(25 citation statements)

References 35 publications

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“…In their work using different NIR scanners to predict constituents of grasses and hay, Acosta et al 19 similarly found that while the desktop consistently resulted in superior predictions, handheld NIR developed predictive models were often nearly as precise as desktop NIR devices. While teak foliar nutrient predictions with the desktop were superior, teak growers working with limited budgets, time, and labor may find the handheld spectrometer adequate in predicting foliar nutrient levels of N, P, and K.…”

Section: Discussionmentioning

confidence: 99%

“…Model development was performed using a data analysis pipeline written in R environment. 18,19 The pipeline has two separate phases: 1) transformations and outlier detection and 2) model training, crossvalidation, and model selection. The first phase of the program applies mathematical transformations to NIR spectra to remove the scattering of diffuse reflections associated with sample particle size and to improve subsequent regression analyses.…”

Section: Methodsmentioning

confidence: 99%

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The use of near infrared spectroscopy to predict foliar nutrient levels of hydroponically grown teak seedlings

Whittier

Hodge

López

et al. 2021

Journal of Near Infrared Spectroscopy

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Due to a combination of durability, strength, and aesthetically pleasing color, teak ( Tectona grandis L.f.) is globally regarded as a premier timber species. High value, in combination with comprehensive harvesting restrictions from natural populations, has resulted in extensive teak plantation establishment throughout the tropics and subtropics. Plantations directly depend on the production of healthy seedlings. In order to assist growers in efficiently diagnosing teak seedling nutrient issues, a hydroponic nutrient study was conducted at North Carolina State University. The ability to accurately diagnose nutrient disorders prior to the onset of visual symptoms through the use of near infrared (NIR) technology will allow growers to potentially remedy seedling issues before irreversible damage is done. This research utilized two different near infrared (NIR) spectrometers to develop predictive foliar nutrient models for 13 nutrients and then compared the accuracy of the models between the devices. Destructive leaf sampling and laboratory grade NIR spectroscopy scanning was compared to nondestructive sampling coupled with a handheld NIR device used in a greenhouse. Using traditional wet lab foliar analysis results for calibration, nutrient prediction models for nitrogen (N), phosphorus (P), potassium (K), calcium (Ca), sulfur (S), copper (Cu), molybdenum (Mo), magnesium (Mg), boron (B), calcium (Ca), manganese (Mn), iron (Fe), sodium (Na), and zinc (Z) were developed using both NIR devices. Models developed using both techniques were good for N, P, and K (R2 > 0.80), while the B model was adequate only with the destructive sampling procedure. Models for the remaining nutrients were not suitable. Although destructive sampling and desktop scanning procedure generally produced models with higher correlations they required work and time for sample preparation that might reduce the value of this NIR approach. The results suggest that both destructive and nondestructive sampling NIR calibrations can be useful to monitor macro nutrient status of teak plants grown in a nursery environment.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

The use of near infrared spectroscopy to predict foliar nutrient levels of hydroponically grown teak seedlings

Whittier

Hodge

López

et al. 2021

Journal of Near Infrared Spectroscopy

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“…Samples were scanned with a Foss NIRS Model 6500 (Foss North America) and NIRS model development was performed using a data analysis pipeline written in R environment (R Core Team, 2016). The pipeline was previously used in the successful development of NIRS models to determine forage nutritive value of native warm‐season grasses and bermudagrass (Bekewe et al., 2019; Castillo et al., 2020), and to compare predictions among benchtop and handheld NIRS devices (Acosta et al., 2020). To obtain a calibration for CP and ADF, a total of 147 samples (72 samples selected from this trial + 75 samples from bermudagrass trials previously conducted across North Carolina) were assembled into a library, in which both laboratory analyses and NIRS scans were available.…”

Section: Methodsmentioning

confidence: 99%

Evaluation of five bermudagrass cultivars fertigated with swine lagoon effluent

Spearman¹,

Castillo

Sosinski

2021

Agronomy Journal

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Bermudagrass [Cynodon dactylon (L.) Pers.] hay is an important output from land receiving swine (Sus scrofa) effluent application (also known as spray fields); however, there is limited information about cultivar differences in the upper Southeast United States. Herbage accumulation, nutritive value, tissue nitrate concentration, and stem maggot damage were evaluated for five bermudagrass cultivars ('Coastal', 'Midland 99', 'Ozark', 'Tifton 44', and 'Tifton 85') fertigated with swine effluent throughout three growing seasons (2016, 2017, and 2018). All cultivars achieved canopy height ≥35 cm by July and cover of 100% by August of year of planting. Based on 3-yr averages, Tifton 85 (9.3 Mg ha -1 ) had greater herbage accumulation than cultivars Coastal, Ozark, and Tifton 44 (≈7.9 Mg ha -1 ), and Midland 99 was intermediate (8.5 Mg ha -1 ). Bermudagrass stem maggot (Atherigona reversura) damage was consistently lower for Tifton 85 and resulted in larger differences in herbage accumulation in 2017 (11.2 vs. 8.4 Mg ha -1 for Tifton 85 and the other cultivars, respectively). There were moderate differences in crude protein concentration (ranged from 179 to 212 g kg -1 ) and no difference in total digestible nutrients (622 g kg -1 ). Tissue nitrate concentrations ranged from 3,433 to 16,168 mg NO 3 kg -1 . Differences in productivity and nutritive value were moderate among cultivars; however, in areas with potentially high bermudagrass stem maggot damage, greater utilization of Tifton 85, if adapted, is warranted. Hay production from spray fields results in high yields and high nutritive value forage. Frequent nitrate testing, if possible by harvested hay lot, is advised.

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“…Concentrations of CP and ADF were estimated using near infrared spectroscopy (NIRS) models developed for this experiment. Samples were scanned with a Perten DA 7250 NIRS analyzer (PerkinElmer) and NIRS model development was performed using a data analysis pipeline written in R environment (Acosta et al., 2020; R Core Team, 2016). To obtain a calibration for CP and ADF, a total of 169 samples were selected (28% of total samples) for calibration based on their spectral information to represent the population of samples collected in this trial.…”

Section: Methodsmentioning

confidence: 99%

Poultry litter and nitrogen fertilizer effects on productivity and nutritive value of crabgrass

et al. 2022

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Crabgrass (Digitaria spp.) is deemed as a productive and nutritious warm‐season annual forage for livestock in the U.S. transition zone. However, there is limited information about nitrogen (N) source and rate effects on productivity and nutritive value of crabgrass in North Carolina. Herbage accumulation (HA), N removal, crude protein (CP), total digestible nutrients (TDN), and tissue nitrate (NO3−) concentrations were evaluated for 2 yr (2020 and 2021) in two physiographic regions (Piedmont and Coastal Plain). Treatments were five rates of chemical N fertilizer (up to 480 kg N ha−1), five rates of plant‐available N from broiler poultry litter (up to 472 and 399 kg N ha−1 in 2020 and 2021, respectively), and one control (zero N). Overall crabgrass responses were not different between N sources. At Coastal Plain, HA increased from 4,990 kg dry matter (DM) ha−1 and plateaued at 7,136 kg DM ha−1 at an agronomic optimum N rate (AONR) of 198 (SE = 49) kg N ha−1. At Piedmont, HA responses were erratic, estimation of an AONR was not possible, and HA values were approximately half or less to those at Coastal Plain. Removal of N was linearly associated with HA. Increasing N rate had a marginal positive effect on CP (ranged from 126 to 154 g kg−1) and no effect on TDN (averaged 626 g kg−1). Tissue NO3− values were below the toxic threshold for feeding livestock. Poultry litter is an effective N source for crabgrass. Nitrogen rate effects were more apparent on crabgrass’ productivity; nutritive value was generally high regardless of N rate and source.

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Comparison of benchtop and handheld near‐infrared spectroscopy devices to determine forage nutritive value

Cited by 27 publications

References 35 publications

The use of near infrared spectroscopy to predict foliar nutrient levels of hydroponically grown teak seedlings

The use of near infrared spectroscopy to predict foliar nutrient levels of hydroponically grown teak seedlings

Evaluation of five bermudagrass cultivars fertigated with swine lagoon effluent

Poultry litter and nitrogen fertilizer effects on productivity and nutritive value of crabgrass

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