NIRS Footprint of Bio-Fertilizers from Hay Litter-Bags

Masoero, G.; Delmastro, M.; Cugnetto, Alberto; Giovannetti, Giusto; Nuti, Marco

doi:10.14302/issn.2639-3166.jar-18-2084

Cited by 11 publications

(13 citation statements)

References 31 publications

(17 reference statements)

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“…In the first experiments conducted to formalize the litter-bag method 18 , the eight litter-bag calibration studies, devoid of yield results, showed an average sensitivity of 62% for C and 71% for S, values that now result to clearly be below the range of sensitivity expressed in the present work with reference to intensive corn fields.…”

Section: Negative Positivecontrasting

confidence: 55%

“…Three recently published rapid methods, namely the NIRS-litter-bag technique 18 , raw foliar pH 19,20,21 and foliar NIR-SCiO Tomoscopy 20 , have been used together for the first time for modeling purposes, thanks to the availability of a new smart-NIR device, which has been utilized for the leaves of Sorghum sudanensis but also for live rabbits 22 . The results from three calibration experiments conducted in 2018 were elaborated to formulate a model for a symbiotic corn yield.…”

Section: Methodsmentioning

confidence: 99%

“…As previously described 18 , hay litter-bags were buried along the plant row. After about sixty days, the probes were opened and dried at a temperature of ~ 65 ° C for 36 h and the residues were examined by means of a smart NIR-SCiO TM (Consumer-Physics, Tel Aviv) operating in the 740-1070 nm NIR band; two scans were carried out on each side of the litter-bags.…”

Section: Measuring Soil Functioning By Means Of Litter-bagsmentioning

confidence: 99%

See 2 more Smart Citations

Spectroscopic and Foliar pH Model for Yield Prediction in a Symbiotic Corn Production

Volpato¹,

Masoero²,

Mazzinelli³

et al. 2019

JAR

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The agronomic management of symbiotic (S) inoculations, by means of bio-fertilizers (BF), is aimed at inducing modifications of the plant rhizosphere and thereafter of the phenotype and yield of the crop. It is here shown that the yield response of maize to a symbiotic treatment may be correlated to six easy-to-calculate indicator variables on the basis of the raw foliar pH, NIR-Spectroscopy of leaves, and the NIRS of hay litter-bags from soils. It has been confirmed, in a set of thirteen pairwise comparisons of Symbiotic (S) soil inoculated by BF vs. Control (non-inoculated soil; C), that the inoculation on average acidified the leaves by-3.7% pH units (P<0.0001). The responses in yield ranged from +25.2% to-9.2% (av.ge +3.5%; P = 0.03), but with average null responses in two centers and a significant response (+11%) in a third center. NIR-Tomoscopy scans (No. 574) were also performed on the leaves, and in addition, hay-litter-bags that had previously been buried in fields were dug up after two months, and 431 NIR-scans were acquired. The effect-size on the yield was expressed as the logarithm of the response ratio, i.e. the mean of the inoculated Symbiotic treatment divided by the mean of the non-inoculated Control for each pairwise comparison. A multiple regression model was developed to predict the symbiotic response to the treatment using six independent variables, including the squared litter-bag fingerprints, and an R 2 adj. level of 0.78 (P=0.01) was reached, with a standard error of ±4%. Validation in one external maize field, with a positive response to bio-fertilizers, demonstrates the juxtaposition of the estimated and accomplished yield. In a second experiment, with 40 pairwise comparisons, the two tested maize varieties did not respond to five types of bio-fertilizer, and the negative results were predicted at 84% (P 0.0012). The soil biota is a key factor for the application of appropriate microbial inoculants in the field, but the genotype/ genotype interactions between the microbial strain (s) and the crop cultivar (s) require prior screening to obtain the desired results.

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Section: Negative Positivecontrasting

confidence: 55%

Section: Methodsmentioning

confidence: 99%

Section: Measuring Soil Functioning By Means Of Litter-bagsmentioning

confidence: 99%

See 1 more Smart Citation

Spectroscopic and Foliar pH Model for Yield Prediction in a Symbiotic Corn Production

Volpato¹,

Masoero²,

Mazzinelli³

et al. 2019

JAR

Self Cite

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“…Three recently published rapid methods, namely the NIRS-litter-bag technique 13 , the raw foliar pH 14,15,16 and foliar NIR-Tomoscopy 17 , have been used together, in a holistic model, for a symbiotic corn yield production 4 . The aim of this study has been to investigate the quality of symbiotic corn.…”

Section: Methodsmentioning

confidence: 99%

Spectroscopic Kernel Quality from a Symbiotic Corn Production

Masoero¹,

Mazzinelli²,

Balconi³

et al. 2020

JAR

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The management of the inoculation of a plant's roots, by means of biofertilizers (BF) containing arbuscular mycorrhizal (AM) fungi, is aimed at inducing modifications of the quality of the seeds. It is here shown that a seed-soil treatment can be elicited in the fingerprints of a symbiotic treatment using Near Infra Red (NIR)-SCiO NIR-SCiO spectra collections of single kernels: overall, a sensitivity of 73% and a specificity of 73% have been achieved, thus suggesting that it may be possible to assign the symbiotic origin of corn from just twenty kernels, provided that the dataset is adequately representative of the cultivar and AM. A global correlation study has shown a positive general trend (R 2 0.45) of quality vs. quantity, in the sense that an increase in yield corresponded to an increase in the spectral differences between the symbiotic spectra and the control ones, but the inverse was also true, as a result of the parasitic behaviour of the BF treatments. The efficacy of the symbiosis can be back predicted from the NIR spectra; in fact, around 90% of the positive yield outcome results were discriminated from the negative ones. A reduction in the foliar pH (R 2 0.37) and an increase in the foliar protein (R 2 0.43) were observed as immediate phenotypic signs of a productive symbiosis.The commercial raw composition of the kernels appeared to only be affected slightly by the BF treatments; thus, till now uncharted secondary compounds of the maize kernels are involved, as supported by animal performances.

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“…However, there is still a lack of rapid measurement techniques that can be used to assess the microbial status of cultivated soils. The integrated use of NIRS and litterbag techniques could be a functional and rapid solution, as demonstrated by the fact that a change caused by a biofertilizer is reflected in the biochemical functioning mechanisms, and that such a change can be easily testified 8 . The coupled use of these two techniques (intended as a quality evolution of litterbags swamps and not as mass decay), can be modeled as a valid fingerprinting of the studied field conditions, a process that results in data validation and predictive models.…”

Section: The Use Of Litterbags Is a Technique That Hasmentioning

confidence: 99%

Vineyard Clusters Monitored by Means of Litterbag-NIRS and Foliar-NIRS Spectroscopic Methods

Cugnetto¹,

Lajolo²,

Vitaloni³

et al. 2021

JAR

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There is currently a lack of rapid indirect analysis methods for the assessment of the effects of soil microbiota on vine production. Fifteen clusters of two Nebbiolo and Erbaluce varieties were identified in five vineyards belonging to a cooperative of winemakers in North West Italy, according to the differences in the NDVI index, as monitored by the Crop Monitoring OES system. The vineyards were surveyed in 2019 and the experimental monitoring of 75 vines was conducted in 2020. The first indirect method (Litterbag-NIRS) involved examining hay litterbags with a smart SCiOTM device. The average litterbag-NIR spectra of the clusters, as far as the yield is concerned, were closely fitted with the measured production yield, with an R2 cross-validated value of 0.91 in the Nebbiolo vines and 0.67 in the Erbaluce vines. The results in yield were accounted for by considering a few dominant variables in both vines, namely the microbic respiration of the soil and the crude protein of the litterbag (positive), opposed to the soil NO3--N and litterbag ADF (negative). The pruning wood was also closely correlated to the litterbag spectra. A second rapid method, foliar pH coupled with the NIR spectroscopy of the leaves, was then performed. The overall results predicted from the foliar NIRS were 0.73 for yield and 0.79 for the Canopy Cover. However, the most interesting result concerned the yield regressions on the foliar pH, which were clearly negative in both vines and of a similar amount: -5.15 kg/pH in Nebbiolo (R2 0.68) and -5.63 kg/pH (R2 0.23) in Erbaluce. Litterbag-NIRS, which shows a high predictive capacity, and foliar pH - with or without foliar-NIRS - are indirect and frugal methods that can be recommended for a rational assessment of the microbial soil fertility of vineyards.

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NIRS Footprint of Bio-Fertilizers from Hay Litter-Bags

Cited by 11 publications

References 31 publications

Spectroscopic and Foliar pH Model for Yield Prediction in a Symbiotic Corn Production

Spectroscopic and Foliar pH Model for Yield Prediction in a Symbiotic Corn Production

Spectroscopic Kernel Quality from a Symbiotic Corn Production

Vineyard Clusters Monitored by Means of Litterbag-NIRS and Foliar-NIRS Spectroscopic Methods

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