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

Cugnetto, Alberto; Lajolo, Luciano; Vitaloni, Giovanni; Sarasso, Giuseppe; Mondino, Enrico Corrado Borgogno; Nuti, Marco; Giovannetti, Giusto; Masoero, G.

doi:10.14302/issn.2639-3166.jar-20-3676

Cited by 3 publications

(3 citation statements)

References 21 publications

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“…The models applied to the normalized and first derivative reflectance spectra were defined in a previous work (Baldi et al 2020) and resulted in 22 LBN-predicted variables. Moreover, the spectra of the subgroups were averaged and then fitted to the yield index, as already done in the work of Cugnetto et al (2021), although some outliers were identified beyond the t < 2 limit and were consequently excluded.…”

Section: Discussionmentioning

confidence: 99%

“…The first reference to a yield prediction from NIR spectra was achieved in a wine trial (Cugnetto et al 2021) in which an R 2 cross-validated value of 0.91 was found for Nebbiolo and 0.67 for Erbaluce vines. In a previous study on tomatoes (Baldi et al 2020), a linear regression of the yield on the % fingerprinting of the treatments with biofertilizer was observed in the NIRS of the litterbags, which reached an R 2 of 0.45, but when the NIRS fingerprinting of the leaves was added, the bilinear regression reached an R 2 of 0.95.…”

Section: Discussionmentioning

confidence: 99%

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Litterbag-NIRS to Forecast Yield: a Horticultural Case with Biofertilizer Effectors

Masoero

Oggiano

Migliorini

et al. 2021

J Soil Sci Plant Nutr

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The Litterbag-NIRS method demonstrates and studies the microbial biodiversity of soil in an indirect way, observing the quality decay of ground hay, under real field conditions. Three experiments pertaining to a complex microbial consortium inoculated into six horticultural species used litterbags buried for 60 days. The litter was examined, by an SCiO™ smart-NIR spectrometer, to extract information on the type of transformation that had taken place. Chemometric analyses of single spectra were conducted to compare any variability in three experiments. The partial least squares method was used and cross-validated to associate the observed equivalent yield indexes (YI) to the NIR spectra averaged over each productive plot, in each trial, as well as in the pooled dataset. The cross-validated R 2 values of the three experiments ranged around 0.66, and the inaccuracy of the estimates fluctuated at around ± 5%. The pooled calibration (R 2 = 0.55) showed the presence of outlier treatments, and a marked spectral correlation (R 2 = 0.77) with the 1031 and 986 nm wavelengths. In parallel, a complex of 22 NIRS-predicted variables related to chemical decay of the hay-litter, soil characteristics, and soil microbiology was obtained and partially associated to the YI and to microbial inoculation effects. The Hay-Litterbag-NIRS method can be considered useful to indirectly demonstrate that microbial fertility is an integral part of soil fertility, as evidenced by the significant correlations and predictions of the crop yields, and by the unraveling of the tangle of plant-soil relationships.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Litterbag-NIRS to Forecast Yield: a Horticultural Case with Biofertilizer Effectors

Masoero

Oggiano

Migliorini

et al. 2021

J Soil Sci Plant Nutr

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“…pulp, skins and seeds were divided and each berry was examined for pH using the Hamilton Double-Pore F electrode and by a bench refractometer for the degree brix, while a triplicate NIRS scan was applied to the pooled skins and seeds. The technological index was calculated as pH 2 * brix, whereas the phenolic index was expressed as the ratio of the non-extractable to the extractable phenols and was predicted from the NIR spectra according Cugnetto et al 29 .…”

Section: Journal Of Agronomy Researchmentioning

confidence: 99%

Soluble Biobased Substances in soil or Salicylic Acid on leaves affect the foliar pH and soil biovariability of Grapes-as explained by the NIR Spectroscopy of Litterbags and Teabags

Masoero,

Sarasso,

Delmastro

et al. 2023

JAR

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The purpose of the trial was to check the effects of two grapevine treatments on the plant activity and on the bioactivity and biovariability of the soil. An alkaline complex of Soluble Biobased Substances (SBS) was used in soil at 30 g per plant in a single solution. Salicylic Acid (SA) was used on leaves at 150 mg l-1 every two weeks at 50 ml plant. The plants were examined for their foliar pH and NIR spectra. The soil bioactivity was monitored by means of hay-Litterbag-NIRS (LBN) in combination with the Teabag Index (TBI), using rooibos and green tea that had been buried for 60 days. The evolution of the TBI presented here concerns the TBI-NIRS spectroscopic method used for discriminant analysis. A new algorithm was used to estimate the soil microbiome from the green Teabag spectra. The obtained results showed that the plants and the soil responded to the treatments. In fact, SBS, but not SA, lowered the leaf pH by 5%, an unexpected and original result. Both treatments increased the variability of the leaf composition, with a lower discrimination, based on the NIR spectra, from the Control (75%) to 44% (SA) and 38% (SBS). The TBI method, which is based on weights, was less efficient (67%) than the TBI-NIRS of rooibos (96%) or the LBN of hay (80%), but it was like the TBI-NIRS of green tea (74%). The LBN analyses indicated that the mycorrhizal index had increased by 8% in SA but had reduced by 7% in SBS, while both treatments reduced the activity of the microbes, which did not affect the soil respiration rate. The mineral N in the soil was substantially raised by about 11÷69%. The Taxa profiles showed marked deviations from the Control. Moreover, the SBS treatment reduced the Glomeromycota by 35%, which matched to the reduction in the mycorrhizal index. The most favored Bacteria from the treatments were Proteobateriaand Actinobacteria, with Mortierellomycota being the most penalized. Neither treatment affected the production, but both delayed the technological maturity by 9-11%, while the SBS retarded the phenolic maturity by about 18%. It has been concluded that a simple treatment of vines can affect the bioactivity in the leaves and berries as well as the biovariability of the soil.

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Connecting the use of Biofertilizers on Maize silage or Meadows with Progress in Milk Quality and Economy

Masoero¹,

Ariotti²,

Giovannetti³

et al. 2021

JAR

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A systematic use of biofertilizers can improve both the quality of a farming system and the parameters of milk. Some issues related to biofertilization experiments on six farms in the Po Valley (NW Italy) involved in the production of milk from dairy cattle fed maize silage or grazed on hay produced from permanent meadows are reported in this paper. Biofertilized maize was found to lower the live stem pH by about 2.3%, and NIR spectroscopy foreshadowing major changes in the composition. Overall, the plant silage was improved in quantity (+10%) but also in quality, as shown by the delayed maturity stage of the leaves (crop maturity index -4%), the lower indigestible NDF content (-7%), and the higher digestible carbohydrates and protein in the whole plants. Such favorable feeding conditions, together with the improved palatability of the feed ration, boosted the nutrient values of the protein (+4.6%) and fat contents (+5.7%) in the milk. Moreover, the functional properties of the milk were ameliorated, as testified by the higher levels of vitamin A (+27%) and vitamin E (+25%) and the reduced levels of saturated fatty acids (-6%), especially myristic (-18%) and stearic (-32%) acids, while the unsaturated acids increased by 15%. As far as economy aspects are concerned, the biofertilization of maize for silage has led to consistent rewards pertaining to the marginal price of the milk, which in turn has led to a value chain increase of about 9%, because of the fields cultivation, but mainly of the cow transformation in milk quality issues. On another farm, intensive maize was substituted with permanent biofertilized meadows, over a greening path, and a + 17% value chain increase was obtained that already derived mainly from the best price for milk quality parameters. Such an evolutionary leap toward a new vision of sustainable agriculture for the environment and for animals, in which a better quality of products, animal welfare and company budget are combined with soil biofertilization, can be considered a bonanza.

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

Cited by 3 publications

References 21 publications

Litterbag-NIRS to Forecast Yield: a Horticultural Case with Biofertilizer Effectors

Litterbag-NIRS to Forecast Yield: a Horticultural Case with Biofertilizer Effectors

Soluble Biobased Substances in soil or Salicylic Acid on leaves affect the foliar pH and soil biovariability of Grapes-as explained by the NIR Spectroscopy of Litterbags and Teabags

Connecting the use of Biofertilizers on Maize silage or Meadows with Progress in Milk Quality and Economy

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