Journal of Agronomy Research

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

    Giorgio Masoero 1   Riccardo Ariotti 2   Giusto Giovannetti 3   Enrico Ercole 3   Alberto Cugnetto 1   Marco Nuti 4  

    1Accademia di Agricoltura di Torino, Torino, Italy

    2LAV s.r.l., Moncalieri, Italy

    3CCS Aosta, Quart, Italy

    4Istituto superiore S. Anna di Pisa, Italy


    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.

    Author Contributions
    Received 22 Mar 2021; Accepted 30 Mar 2021; Published 02 Apr 2021;

    Academic Editor: Raj Kishori, Department of Genetics and Plant Breeding, , CSIR, Lucknow, India.

    Checked for plagiarism: Yes

    Review by: Single-blind

    Copyright ©  2021 Giorgio Masoero, et al.

    Creative Commons License     This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

    Competing interests

    The authors have declared that no competing interests exist.


    Giorgio Masoero, Riccardo Ariotti, Giusto Giovannetti, Enrico Ercole, Alberto Cugnetto et al. (2021) Connecting the use of Biofertilizers on Maize silage or Meadows with Progress in Milk Quality and Economy. Journal of Agronomy Research - 3(3):26-45.

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    DOI 10.14302/issn.2639-3166.jar-21-3782


    Biofertilizers, whose use is considered an acclaimed strategy for multifunctional soil management, as regard the biological and physical features, and an increasing plant resistance to pathogens and to biotic and abiotic stress, represent a promising tool that may provide a response to the new challenges of modern agriculture 1. In general, the quantitative aspect is considered the most, after encouraging favorable evidence has emerged concerning legumes (+19%), vegetables (+17%), cereals (+15%) and roots (+10%) 2. At the same time, advantages have been found more for the use of P (+6.7 kg yield kg P-1) than of N (+1.8 kg yield kg N-1). From the operational point of view, the challenge is now to verify whether the law of minimum is applicable or whether the second law of diminishing return, which relates a dose to the response, can be verified and modeled in a production plan considering the interactions with each autochthonous microflora. Johnson et al 3 applied the Law of Minimum to the mycorrhizal factor and showed that mutualism is favored in P-limited systems, while commensalism or parasitism is favored in N-restricted systems. The second challenge for biofertilizers concerns the possibility of the sequestration and bioavailability of N for plants: the most apparent manifestation of plant luxuriating, after a successful biofertilization, is the intense green color, which phenotypically corresponds to a "nitration ". Thirkell et al. 4 in a microcosm experiment, showed that allowing hyphae access to an organic material improved the total N and P contents, with a dramatic +66% of mass increase.

    However, the impacts of a biofertilizer on the qualitative improvements of the yield have been studied less, and those studies that have been conducted have mainly focused on the first chain of the raw feeds 5, 6, 7, 8or foods 9, 10, 11but in the latter case, the studies have only rarely been protracted to the animal supply chain for poultry and pigs 12, meat cattle 13 or the milk chain 14, 15, 16. The source of forage for dairy cows and the energy supply affect both the quality of the milk 17 and problematic methane emissions to a great extent 18,19. Many studies have been conducted on fatty acids profiles. It has been recognized that an increase in unsaturated FAs leads to a reduction of the ratio between saturated fatty acids (SFA) and PUFAs, thus improving the nutritional quality of milk 20as well as its antioxidant properties 21.

    The present study reports some issues pertaining to medium-term biofertilization experiments, focused on milk quality, which were carried out on intensive dairy cattle farms in Italy. Considering the high value of the lands in Italy and the need to maximize production, the dominant food system is based on the cultivation of maize (Zea mays) for silage, mash and corn. In order to face the problems of reorienting agricultural production in the EU toward a green deal, biofertilization could be used as a tool to support chemical restrictions in fields, reduce mycotoxins 12 and improve animal health.

    The practice of permanent hay meadows, which had been abandoned by conventional agriculturists for about half a century, is now considered, by a prescient minority, a winning high quality choice, with benefits and substantial help from the use of a controlled biofertilizer management. In the present study, we examine the impact of such a reorientation, that is, from maize to meadows, on the quality of milk and on a company budget.

    Experimental Procedure

    An asynchronous model was utilized to compare the production of milk – from a quantity and quality perspective - under normal conventional feeding (C) and under an improved regimen (B). The improvement that was tested was due to the use of a biofertilizer consortium applied to the main crops considered in order to satisfy the feeding necessities of a herd, pertaining to maintenance, reproduction and production, that is, a maize crop and a meadow. Four farms were enrolled in the maize experiment over a period of two years, while one farm was followed over three years for the meadow study.

    Material and Methods

    Maize Experiments

    In the first year, four farms were involved in producing a trench silo of biofertilized whole-plant maize, in a quantity considered sufficient to feed milking Holstein Italian cows over a period of almost two months in the second year. Four farms in the Po valley, in the Piedmont Region (Carmagnola), and a farm in Soncino in the Cremona Region were involved in the ProLacte Project. MICOSAT F wp® seed for tanning cereals was used for biofertilization purposes at a dose of 1 kg/ ha. This is a somewhat complex consortium in which 100 g contains symbiotic fungi (32 g of sorghum root inoculum, spores and hypha of the Glomus coronatus GO01 and GU53 species, Glomus caledonium GM24, Glomus intraradices GB67 and GG32, Glomus mosseae GP11 and GC11, and Glomus viscosum GC41), bacteria (Bacillus subtilis BR48), saprophytic fungi (Beauveria spp. BB48, Trichoderma harzianum TH01, Trichoderma atroviride TA28) and inert media ama 100.

    Details of the methods used for cropping and monitoring the growth and yield were published in a study by Masoero and Giovannetti 22, which focussed on the variations of the in-vivo stem pH at a cereus status. Each plant was cut at 2/3 of the internode below the ear, and a measurement was made of the in vivo stem pH at the up position (pH_up). A second cut was then made at ½ of the 2nd internode, and the stem pH was measured at the bottom position (pH_bot). The pH measurements were conducted using a BORMAC “XSpH 70” pH meter, provided with a combined plastic-glass electrode Hamilton PEEK Double-Pore F, with 35×6 mm dimensions (LxØ), and two decimals. All the on-plant measurements were conducted at the center of the cut sections. One leaf was retained from each plant and the thus obtained 1278 leaves were then examined in a laboratory, by means of vibrational spectroscopy, using a portable LabSpec 4 Standard-Res Lab UV-Vis-NIR Analyzer fiber optic diode array spectrophotometer (ASD, Analytical Spectral Device Inc., Boulder, CO) to scan the lower pages of the leaves over a 350–1025 nm range (676 absorbance points).

    The spectra were imported in a format that was compatible with the WinISI II v1.04 software (FOSS NIRSystem / Tecator, Infrasoft International, LLC) for chemometric processing, by means of a Partial Least Squares (PLS) method, to calibrate the binary condition C vs. B, as the 1,2 dummies. No leaf quality prediction model was available at that time for the ASD instrument. Therefore, in order to consider the modifications of the biofertilizer on the leaves and to extend and validate the features of the present study, we included a collection of the NIR spectra of 1627 leaves obtained from a series of later carried out biofertilization published experiments 23.

    A low cost NIR device was used for this purpose; the SCiOTM 23 and the spectra were downloaded, imported in WinISI and the quality traits were predicted using models validated in a previous sorghum study 25 and further improved in a vine study 26.

    Analyses were carried out on chopped green whole maize plants, by means of a NIRSystem 5000, which is currently used by the Regional Breeder Association.

    Meadow Experiment

    In the first year, one farm changed its crop organisation from intensive maize feeding and dairy production to meadow feeding and hay -haylage production, using the aforementioned biofertilizer over the entire crop area. The meadows included Trifolium pratensis, Medicago sativa, Dactilys glomerata, Lolium multiflorum, Festulolium and Festuca pratense. No comparative analyses were carried out on the grasses or hay.

    In the transition period, the ration of the milking was gradually enlarged for the forage-to-concentrate ratio.

    Milk Yield and Quality

    Several kinds of measurements involved the controls on milk. Individual dairy surveys were conducted on the milking cow farms by means of a functional control conducted by the Italian Herd Breeder Association. A total of 14833 yield records (kg) were collected and several paired standard analyses (fat%, protein%, somatic cell count 000, linear score, dressing% (fat% * 0.9979 + protein% * 4.19 -5.24) and cheese yield (kg*dressing%) were carried out in the two C and B maize silage feeding phases. Over the whole 2013-14 years, about 90% of the controls were conducted during the conventional feeding period and the remaining 10% during the biofertilized feeding period.

    Bulk milk samples (No. 98) were regularly examined to establish their quality and cheesemaking properties using a MilkoScan FT120 27 for routine analyses of the fat, protein and lactose and for the registered interferograms (n=1154 digits), and a Fossamatic 90 for the somatic cell count, which was transformed into a Linear Score. Special laboratory analyses were conducted concerning the functional milk properties, namely the fatty acid profile 28,29 and the vitamin A and vitamin E contents 30.


    Maize Yield and Quality

    A significant rise in yield was obtained as a result of the biofertilizer treatment, more so for the stem system (+15%) than for the ears (+2%), and an increased S to H ratio (+10%) was observed (Table 1).

    Table 1. Yields of the conventional (C) and biofertilized (B) waxy maize plots before silage for the stem and ears, and the total green mass.
    Farms C\B Plant #m-2 Stems kg m-2 Earskg m-2 S/H Total masskg m-2
    1 C 6.5 14.0 7.4 1.9 21.4
    1 B 7.5 15.1 7.7 2.0 22.8
    2 C 5.9 15.3 15.3 1.0 30.5
    2 B 7.7 18.5 12.5 1.5 31.0
    3 C 6.3 10.4 9.3 1.1 19.6
    3 B 7.4 12.4 11.0 1.1 23.4
    4 C 8.1 23.2 12.3 1.9 35.4
    4 B 8.5 25.9 12.7 2.0 38.5
    5 C 6.8 17.4 9.9 1.8 27.3
    5 B 7.5 20.6 11.3 1.8 31.8
    Mean C   16.0 10.8 1.5 26.8
    Mean B   18.5 (15)* 11.0 (2)* 1.7 (10)* 29.5 (10)*

    ln(B/C)% is shown in parentheses; * P<0.05

    The pH of the stem was lowered significantly by the biofertilizer, more so at the bottom measuring point (-2.9%) than at the top point (-0,8%), although the up-bot difference was more pronounced (-144%) (Table 2).

    Table 2. In vivo stem pH for the top (pH_up) and bottom (pH_bot) heights of the conventional (C) and biofertilized (B) maize.
    No. 760 C- conventional B-biofertilized
    pH_up 4.83 4.79 (-0.8)
    pH_bot 4.90 4.76 (-2.9)*
    Diff. (pH up - pH_bot) -0.07 0.03 (-144)*

    ln(B/C)% is shown in parentheses; * P<0.05

    As far as the putative leaf composition is concerned, as fingerprinted in the 1278 NIR spectra, the difference between the two theses was extremely high, with an R2 of 0.82 (Figure 1).

    Figure 1. Foliar NIR Spectroscopy of the conventional (C, 1) and biofertilized (B, 2) maize leaves (No. 1278).
    Figure 1.

    Where considering the 1627 extra leaves (Table 3), the foliar pH varied in parallel as the stem pH varied, thus confirming a 3% lower value in the biofertilized maize.

    Table 3. Composition and properties of the conventional (C) and biofertilized (B) maize leaves and the whole plants at the waxy stage.
      Leaves - No.1627 Whole plants - No. 8
    Items C B C B
    Foliar pH, unit 5.14 4.97 (-3)*    
    Stem pH bot, unit     4.90 4.76 (-2.9)*
    Crop maturity index, n 2.45 2.35 (-4)*    
    Lignin, ADL 8.11 7.68 (-5)*    
    Ether extract 1.31 1.27 (-2)* 2.67 2.65 (-1)
    ADF 42.81 42.13 (-2)*    
    Crude fiber 28.01 27.83 (-1)    
    Indigestible NDF 25.43 24.56 (-3)* 10.31 9.55 (-7)
    N-free extract 46.02 46.99(2)*    
    Gross energy, MJ/kg DM 17.43 17.42 (0)    
    In vitro tot. digestibility, IVTD % 71.58 71.64 (0)    
    NDF 46.20 46.53 (1)* 39.88 38.21 (-4)
    NDF digestibility, % 44.93 46.75 (4)* 74.22 75.06 (1)
    Hemicellulose 7.91 8.92 (13)*    
    Digestible NDF 21.24 21.67 (2)* 29.57 28.66 (-3)
    Cellulose 27.64 28.44 (3)*    
    Crude protein 8.83 9.40 (6.4)* 6.86 7.05 (3)
    Dry matter, % 27.05 28.09 (4)* 35.58 35.61 (0)
    Ash 6.43 6.89 (7)* 4.03 3.73 (-7)
    Non -structural carbohydrate, NSC     46.56 48.33 (4)
    Starch     36.95 37.91 (3)
    Total Sugars     5.57 6.05 (11)

    All items unitless are % dry matter; differences in ln(B/C)% are shown in parentheses; * P<0.05

    As far as the foliar composition, predicted by means of SCiOTM NIRS, is concerned (Table 3), the general feature that was observed is a delay in maturity after the treatment, as represented synthetically by the -4% in the crop maturity index. The more juvenile status was testified by more protein % (+6.4), ash (+7), hemicellulose (+13), cellulose (+3) and, conversely, by less lignin (ADL, -5) indigestible NDF (-3) and ADF (-2). The whole-plant composition reflected the consequences of the preponderant part of the stem vs. the ears, and especially in the biofertilized plants, which exceeded the average stem/ear ratio by 10%. The biomass was obviously increased much more in the stem system (+15) than in the ears (+2). Thus, the whole plant reflected the leaf composition as being mixed with the stem and ears parts, and the result was a relative reduction in the fibers, compensated by a rise in protein (+3), but mainly in total sugars (+11). In short, a more palatable and nutritive silage food was obtained.

    All items unitless are % dry matter; differences in ln(B/C)% are shown in parentheses; * P<0.05

    Milk Yield and Quality on the Maize Farms

    In the context of the ProLacte project, the results pertaining to the quantity of milk produced by individual cows, carried out by the AIA on 13171 cases of feeding with conventional silomais (C) and 1662 of biofertilized feeding (B), indicated a slightly negative production trend (-2.7%) after a comparative analysis. This is mainly due to the voluntary reduction of the feeding level verified on farm #2 and to sanitary reasons on farm #3 (Table 4).

    Table 4. Dairy survey of individual cows in the two considered periods with conventional (C) and biofertilized (B) maize silages (Herd 1-4) or meadows (Herd 5) (No. 14833).
    Herd 1 1 2 2 3 3 4 4 5 5 1-5
    Conventional\Biofertilized C B C B C B C B C B  
    No 2397 187 2416 387 5970 387 1205 353 1183 348  
    kg milk 27.26 28.52 24.36 21.01 32.64 29.93 26.88 28.04 31.42 31.26  
    Fat % 3.78 4.15 3.91 4.44 3.95 3.89 3.73 3.89 3.73 3.80  
    Protein % 3.34 3.53 3.54 3.76 3.41 3.38 3.44 3.58 3.46 3.51  
    Somatic Cells 000 334 296 309 267 483 660 395 274 358 517  
    Linear Score 3.10 3.03 3.04 2.99 3.11 3.29 4.33 4.07 4.10 4.11  
    Dressing % 12.52 13.67 13.50 14.94 13.00 12.78 12.88 13.64 12.97 13.25  
    Cheese kg 3.41 3.90 3.29 3.14 4.24 3.83 3.46 3.83 3.98 4.04  
      P lnB/C P lnB/C P lnB/C P lnB/C P lnB/C lnB/C
    kg milk 0.01 4.6% <.0001 -13.8% <.0001 -8.3% 0.0217 4.3% 0.304 -0.5% -2.7%
    Fat % <.0001 9.7% <.0001 13.5% 0.13 -1.7% 0.0014 4.2% 0.033 1.7% 5.5%
    Protein % <.0001 5.6% <.0001 6.2% 0.04 -1.1% <.0001 4.2% 0.001 1.5% 3.3%
    Somatic Cells 0.48 -11.3% 0.37 -13.9% 0.01 36.5% 0.0775 -30.6% 0.484 44.4% 5.0%
    Linear Score 0.14 -2.1% 0.09 -1.6% <.0001 5.8% 0.3846 -5.9% 0.422 0.3% -0.7%
    Dressing %   9.2%   10.7%   -1.7%   5.9% 0.001 2.2% 5.3%
    Cheese kg   14.2%   -4.5%   -9.9%   10.5% 0.458 1.4% 2.3%

    On the other hand, the results on the composition of the milk are interesting. Overall, the fat content increased by +5.5%, while the protein content increased by +3.3%. This has led to an increase in the dairy dressing percentage of 5.3%, and +2.3% in cheesemaking. In parallel, the results of the bulk-milk analyses (Table 5) pointed out even higher increases in fat (+5.7), protein (+4.6) and in the dressing percentage (+6.9).

    Table 5. Bulk-milk analyses from four herds in the two periods with conventional (C) and biofertilized (B) maize silages.
    No. 98   C B
    Fat % 3.45 3.65 (5.7)
    Protein % 3.32 3.47 (4.6)
    Casein % 2.58 2.59
    Dressing % % 12.10 12.94 (6.9)
    Lactose % 4.50 4.61
    Somatic Cells 000 296.31 299.79
    Linear Score Log 3.44 3.45
    Bacterial charge 000 106.32 107.50
    Cryostatic point °C -0.5284 -0.5268

    Significantly different percentages of ln(B/C)% are shown in parentheses.

    A clear characterization of the differences is presented in Figure 2, where the regression of the milk protein on the daily yield in the biofertilized (B) and in the control (C) periods highlights two nearly parallel trends, but a dramatic upper value of 3.3% (in relative log dimension). It should be noted that the B rhombus point in this figure is the actual situation on a farm that has applied a systematic biofertilization for ten years, while the C rhombus point represents the breed average from 682 conventional herds.

    Figure 2. Regression of the milk protein% on the daily yield in the biofertilized (B) and in the control (C) periods, all farms grouped.
    Figure 2.

    Functional Properties of the Milk on the Maize Farms

    Functional results of considerable dietary interest were obtained concerning the vitamins and the composition of the fatty acids. In fact, significant increases were observed for the Vitamin E (+25%) and Vitamin A (+27%) contents on 3 out of the 4 farms (Table 6), with a more favorable response for the lower levels of biofertilization in the conventional period (Figure 3). The two functional properties are correlated (r =0.81).

    Figure 3. Percentage increase in the vitamin E and vitamin A contents on the four farms in relation to the original standard deviation of the conventional (C) and biofertilized (B) maize.
    Figure 3.

    Table 6. The Vit-A and Vit-E contents in the milk from the conventional (C) and biofertilized (B) feeding periods in four herds.
    N= 97   Farms AllFarms
      1 2 3 4
    Vit.Aµg/100g C 30.9 32.8 34.3 54.0 38.0
    M 42.4 40.6 52.5 56.8 48.1
    Ln(B/C)% 37% 24% 53% 5% 27%
    Prob 0.0023 0.0238 <.0001 0.6009 <.0001
    Vit.EIU C 177 188 195 298 215
    M 261 242 255 312 268
    Ln(B/C)% 48% 28% 31% 5% 25%
    Prob <.0001 0.0008 <.0001 0.57 <.0001

    The amount of saturated fatty acids decreased significantly (-6%): myristic acid (-18); stearic acid -32%, with a balanced increase in unsaturated acids (+15%) and a decrease in the saturated / unsaturated ratio (-25%) (Table 7).

    Table 7. Percentage content of fatty acids in the conventional (C) and biofertilized (B) milk from the four herds.
      Fatty acid C-Conventional B- Biofertilized
    C8_0 Caprylic 0.53 0.52
    C10_1 cis-9C10:1 0.04 0.04
    C10_0 Capric 0.96 0.97
    C12_0 Lauric 1.95 1.99
    C12_1 cis9C12:1 0.14 0.15
    C14_0 Miristic 10.40 8.52 (-18)
    C15_0 pentadecanoic 0.08 0.07
    C14_0_m12 12MTD 0.16 0.16
    C15_0_m14   0.04 0.04
    C16_0 Palmitic 47.50 48.34
    C16_2 Palmitolitic 0.73 0.74
    C17_0 Margaric 0.19 0.19
    C17_1 9-eptadecenoic 0.09 0.09
    C18_0 Stearic 9.97 6.74 (-32)
    C18_1cis9 Oleic 33.12 33.85
    C18_1_11 Vaccenic 0.50 0.49
    C18_1_m14 14-metil-esadecanoic 0.13 0.14
    C18_1_m15 15-metil-esadecanoic 0.13 0.13
    C18_2 Linoleic 0.10 0.11
    C19_1   0.04 0.04
    C20_1   0.07 0.07
    C20_3_n3 Ecosatrienoic 0.53 0.55
    Total Saturated 71.78 67.54 (-6)
    Total Unsaturated 28.22 32.46 (15)
      Ratio S / U 3.11 2.35 (-25)

    Significantly different percentages in ln(B/C)% are shown in parentheses.

    Milk Yield and Quality on the Meadow Farm

    The transition from conventional maize to biofertilized meadow was accompanied by a reduction in the individual milk yield of about 8% (Table 8), in part due to a reduction from a triple milking to the normal double one. Importantly, the living conditions of the cows were dramatically improved, as testified by the calving order, which passed from 1.72 to 2.02 (+18%), together with a reduced need for medical treatments. The reduction in energy in the ration was compensated for by a good roughage, and this was reflected in a superior quality of the milk, not of the fat content, but of the protein content (+7% and +9% respectively for T and B) which influenced the dressing% to a great extent (+8% and +10%), while the cheese yield was penalized by the minor yield.

    Table 8. Dairy records from the individual cows after substituting maize silage with biofertilized meadows. Comparisons of the three stages: C- conventional before changing, T- transition, B- biofertilized.
    No. 4578 C-Conventional before changing T-Transition B- Biofertilized
    N° Records 2800 702 1076
    Calving order 1.716 1.823 (6) 2.019 (18)
    Daily Milk Yield 30.5 27.1 (-11) 27.9 (-8)
    Total Milk Yield, kg 7075 6938 6520 (-8)
    Fat % 3.80 3.80 3.83
    Protein % 3.45 3.70 (7) 3.75 (9)
    Dressing % 13.0 14.1 (8) 14.3 (10)
    Cheese, kg 3.83 3.66 (-4) 3.74 (-3)

    Significantly different percentages in ln(T/C)% and in ln(B/C)% are shown in parentheses.

    Economic Balance

    The value chain examined in the unique farm and pertaining to the biofertilized meadow (B) stage was compared with results obtained for the conventional stage (Table 9). A reduction in the operative cost was relevant, as a result of the reduction in chemicals (fertilizers, herbicides, pesticides) and in mechanical processing in the field operations. Moreover, a major advantage was observed for the dairy system in the stable, as a result of the lower feeding costs, but mainly because of the superior quality of the milk parameters, which compensated for the lower quantity, thus resulting in a positive balance, that is, of about 17% of the yearly milk income.

    Table 9. Value chain pertaining to the biofertilized meadows period (B) vs. conventional maize period (C)
      Items B-CPer farm,k€ Y-1 B-CPer cow, € Y-1
     Fields Chemicals: B-meadows vs. C- maize cost -6  
    Labor: B-meadows vs. C- maize cost -1.5  
    Difference in total field cost -7.5 -84
     Herd & dairy External feeds -10  
    Reduced production -18  
    Bonus from milk quality 57.5  
    Differences in dairy incomes 29.5 331
    Total   37 416 (+17%)

    The value chain pertaining to the biofertilized maize was compared with the results verified in the conventional stage for the average of the four farms (Table 10). A certain advantage was observed for the field operations after the reduction in phosphatic fertilizers, as well as an improved yield, for constant mechanical processing costs. However, as before for the meadows study, a major advantage was observed for the stable and dairy system, as a result of the superior quality of the milk parameters, which compensated for the lower quantity, thus resulting in a positive balance, that is, of about 9% of the yearly milk income.

    Table 10. Value chain for the biofertilized maize (B) vs. conventional maize (C) for fields and stable and dairy value chain.
        C- Conventional B- Biofertilized B-C B-C
      Items     Per maize, € ha-1 Per cow, € Y-1
    Fields Biofertilizer cost     150  
    Silage mass value     400  
    Net maize value     250 23
    Stable and dairy Milk, kg d-1 27.62 28.52 (3.2)*    
    Fat% 3.45 3.65 (5.8)*    
    Protein% 3.32 3.47 (4.5)*    
    Final price, .00€ kg-1 39.43 41.53 (5.3)    
    Gross income, € cow-1 d-1 10.9 11.8 (8.7)    
    Gross income, € cow-1 Y-1 3321.6 3612.5   291
    Total Total chain value, € cow-1 Y-1       314 (+9%)

    Percentages in ln(B/C)% are shown in parentheses; * P<0.05



    The pivotal role of the foliar pH as a marker of mycorrhization - as previously published 22 has been revealed in different crops 31 and confirmed in further experiments on olive trees in Apulia 32, but mainly in maize experiments 23, where the foliar pH in a set of 13 pairwise inoculation comparisons on average acidified (-3.7%), while the yield responses ranged from +25.2% to -9.2%. However, the relationship was not confirmed in one experiment with biofertilized tomato 33, but the examined samples were not in a good state of conservation. This multifaceted parameter had already been revealed as being important for the predictability of grape yield variations, almost important as the whole foliar NIR spectra 34. In short, we confirm here a general relevance since the foliar pH has been shown to be a parameter that is inversely correlated with the temperature and with a direct UV-AB exposition in Lepidium sativum35, but is also directly correlated with the soil moisture 36and with the UV in the 24th solar cycle for grapevine leaves 37.

    According to Sabia et al 10, the stalks of plants biofertilized with Micosat F showed significantly lower levels of crude fiber, NDF, ADF and ash (but the P% was raised) than the control plants, according to the presented data, although a greater yield increase (+18%) was observed. Pinar et al. 15, using an AM spore-based biofertilizer, observed a +20% increase and + 39% in a synchronous experiment with sorghum silage, but observed no difference in maize silage composition, while a reduction in NDF (-5%) and an increase in the protein content (+21%) were observed in sorghum, as in the present case.

    It seems absurd that corn, the main bioenergy crop throughout the world, is not affected by the results in biofertilization studies. Literature comparisons, limited to the early stages in pot experiments 38, 39 were mostly focused on physiological agronomic traits and showed evidence of a higher leaf-supply of N, P, Mg and Ca, but not of K.

    A different consideration derives from an expansion of the category of biofertilizers to the “biofertilizers” issued from biogas. Such products cannot be defined exactly as bio-inoculants since they are derived from anaerobic fermentation, while the useful microflora in the soil, which represent the core of a biofertilizer, are aerobic 40. These products are simply amendments, that is, products used at exponential doses compared to real inoculant biofertilizers, which provide the soil with a mainly organic-N supply. Studies conducted on juvenile plants at the Embrapa Dairy Cattle research unit 41, witnessed a significant increase in the quantity of fresh and dry matter in plants receiving consistent ferti-biofertirrigation through sprinkling, at around 800-1600 mc ha-1, in comparison with the controls, but without any variations in the dry matter, NDF, ADF, CP or N levels.

    Corn silage, despite being scarce in protein, is the most relevant feed for intensive ruminant production. Other important pawns on the cultural chessboard are needed in the sustainable farm, especially in cropping systems. In this strategy, chemical and chicken manure fertilizers, biofertilizers based on N-fixing bacteria and phosphate-solubilizing bacteria have shown profitability in intercropping corn-soybean systems 42and have ranked high in NDF and ADF contents but less in protein and mass yield, while corn-soybean intercrops could slightly increase forage yields and quality, and produce 2% more total protein yields, but also overall produce 39% more than zero-fertilized crops. However, the chemical-organic treatments elevated the zero-fertilizer by about 118%. This is exactly the overly critical point of a biofertilizer advance in real fields: a dose \ response should be adequate for medium – high levels of production, and the results must be confirmed over years and not months. The litterbag-NIRS33,34 is a recommended indirect simple method apt to monitor the evolution of the soil biota, especially after the use of biofertilizers.


    In stable practice, the difference between a conventional feeding and a biofertilized one resides in several aspects that are derived from a better palatability and lower level of mycotoxins in the ration, as shown in the Amico project in which the maize grain was measured directly, as well as after poultry feeding experiments 12. The only references in literature for dairy cows are two experiments conducted by the CREA group. According to Chiariotti et al 14, an improvement in the milk protein content (+6% relative) and in the overall animal condition was found, as confirmed by a greater feed intake (+6%) and by an accentuated weight gain during lactation (+118%). A microscopic investigation of the rumen microflora revealed an excess of protozoa (+15%) in a wide variety of shapes and multicolored microbial species, because of the feeding with corn grains treated with Microbial fertilizer microbial biota Micosat F. In the second replicate experiment 16, the AA speculated that a treatment, even under sub-optimal conditions, could affect some peculiar features of the maize and ration, favouring appetite and digestibility. In fact, the group fed biofertilized maize showed a significantly higher and smoother feed intake over the first period of the trial, thus suggesting that the cows were less subject to the physiological disorders caused by a lack of energy during the first part of lactation. The average daily milk yield was higher in the cows in the mycorrhized group (+5.4%), although there were no notable qualitative differences in the bulk milk, except for a favorable reduction of 16% in amyloid A, a marker used to indicate mastitis, and an unfavorable 1% reduction in lactose. Moreover, the cheesemaking features were significantly improved, with -12% in the coagulation time, a sign of a positive interference on the casein features.

    The energy balance of dairy cows must be analytically measured from input-output measures and changes in the body reserves, and as this requires the measurement of all the energetic inputs (feed intake) and outputs (milk, fetus, growth), but this it is not feasible under the current commercial conditions. An indirect option that has been put forward for measuring the energy balance is to consider the changes in the milk composition, for example, the changes in the fat and protein contents of the milk. According to the proposal of Friggens et al 43, a tentative PLS relationship:

    Energy Balance (Mj d-1 ) = 82.4 + 5* Fat% - 80.5 (Fat/Protein), has provided an average comparison of ln(B/C) negative on farms 1 (-17%) and 2 (-26%), null on farm 3 and positive on farm 4 (+15%), but +55% on the farm with meadows, where the real livable conditions were improved, as pointed out by the lower elimination rate of the cows that raised the order of the calving.

    Milk producers are concerned about the raw commercial features, but consumers may have different opinions, and some are willing to pay for top quality products. Different Spectroscopy and Electronic Nose Techniques can be used to objectively characterize milk features 44build blueprints of different milk systems 45 and track feeding regimes and geographic origins 46. Vibrational spectroscopy can be used to distinguish mountain milk from pasture milk or from the milk of cows fed maize on farms on the plain 47. A quick down-up approach, which can be used to organize the variability of the commercial, nutritional, and aromatic properties of cow milk and grade them into multifaceted feature quality classes, which would be useful for producers, transformers, and consumers, was described 48.

    In that survey, which involved a total of 106 dairy farms in Puglia, the farms were classified as belonging to four characteristic dairy Types: 3-SCH (Silage Concentrate-High, n=25); 4-HCH (Hay Concentrate-High, n=33); 5-HCL (Hay Concentrate- Low, n=32); 6-PCZ (Pasture Concentrate Zero, with Podolic cows, n=16).

    The comparisons in highlight that the saturated FAs decreased in parallel to a lower intensity of the feeding-cow system, and, conversely, the unsaturated FAs grew. Vitamin A appeared slightly different, for the systems in the two experiments.

    According to Bernardini et al. 49, with reference to Holstein dairy cows fed two isoenergetic diets, based on either grass hay or maize silage, the milk from animals fed the green diet contained lower concentrations of saturated FAs and higher levels of polyunsaturated FAs.

    Confirmation of the high correlation of the two functional properties (r =0.81) observed in the present work can be found in the work of Strusińska et al 50, who observed that the inclusion of pasture swards in the feed rations raised the contents of liposoluble vitamin A, vitamin E and β-carotene in the milk. A higher concentrate share in the diet – corresponding to raise in yield - also determined a raise in both vitamins but not in the β-carotene.

    As the health of a dairy cow depends on the quality of the feed, how much of this health will be transferred to the biologically active components (particularly vitamins and trace elements) that are fundamental for promoting the neonatal and adult health of humans? Previous experiments with mycorrhized corn grain 12 showed that antioxidant qualities were conferred to the animals and transformed into products. In the case of milk, it appears that a better fatty acid profile, less saturated acids, and a greater antioxidant power is conferred to milk for greater vitamin A and E contents. Therefore, the presence of a greater amount of vitamin E in the raw milk analyzed in this study could also have a positive effect on cows and therefore could avoid the onset of infertility phenomena or problems related to disorders of the musculoskeletal system.

    However, it is the protein in milk that appears to be a kind of cornerstone of the construction that starts from the mycorrhizal symbiosis, runs through energized metabolic pathways, highlighted by a lower foliar pH in the stalk, and finally determines a better nitrogen efficiency of the entire soil-root-plant-cow system. The experimental evidence obtained from the quantitative analysis of vitamin A and vitamin E in the raw milk of cows fed mycorrhized corn silage could be related to a greater availability of nitrogen present in the mycorrhized cultivar, compared to the untreated cultivar. The results of this study have in fact confirmed many findings in the literature. Some studies have shown how the availability of nitrogen determines a variation in the photosynthetic pigment content, for example, in the chlorophyll a, chlorophyll b, lutein, β-carotene, neoxanthin, xanthine violet, zeaxanthin and xanthine anther contents. A study by Lipppert et al 51, conducted on Phragmites autralis (common reed), highlighted that the photosynthetic pigment content depends on the position of the leaves along the stem. It also stated that the leaves containing a greater quantity of nitrogen also have a greater pigment content; the synthesis of chlorophylls, proteins and amino acids in fact depends on the availability of nitrogen.

    Kopsell et al. 52 showed that increasing the total nitrogen concentration, causes a linear increase in carotenoids in the dry plant. Furthermore, the molecular form of nitrogen can alter the accumulation of pigments; an increase in carotenoids was observed in cabbage cultivars where the NO3-N titer was increased in the "nutrient solution".

    Another study 53, conducted on the pea plant (Petroselinum crispum), showed that a higher concentration of nitrogen in the nutrient solution leads to a significant increase in the carotenoid content, in particular lutein, zeaxanthin and β-carotene, and to an increase in the biomass of the plant.

    A further study 54 conducted on AM symbiosis in Zea mays, revealed that an accumulation of isoprenoids takes place in the cortical cells of the plant root, in particular of “micorradicin” and of cyclohexenone derivatives. These two groups of compounds can be synthesized through two routes: a direct route, in which the IPP coming from the MEP route is directly converted into these two compounds, and an indirect route, in which the IPP is initially converted into carotenoids and subsequently, through their oxidative degradation, into micorradicin and cyclohexenone derivatives. Furthermore, it has been seen that the mycorrhized roots of Zea mays contain a greater quantity of carotenoids than the control , especially of violaxanthin and neoxanthin esters. Furthermore, by treating a mycorrhizal Zea mays plant with a herbicide (norflurazon), which inhibits the enzyme phytoene desaturase (PDS) present in the biosynthesis of carotenoids, an accumulation of phytoene was found, which was not present in the non-mycorrhizal corn roots. This indicates that the biosynthesis of phytoene is more active in mycorrhized roots than in non-mycorrhized roots. In fact, it was found that there is a greater transcription of the gene of the enzyme phytoene desaturase in mycorrhizal roots, which was not found in the non-mycorrhized roots. It should be pointed out that the pH showed a basipetal trend, as can be seen in Table 2, a sign of energetic mycorrhizal reactions, even from the roots.

    The better protein yield of cows fed with biofertilized forages can be an indicator of a lower dispersion of methane into the environment by lactating cows fed biofertilized maize. Methane is formed from a bacterial biotransformation of hydrogen, as generated by rumen protozoa 55. The defaunation of the rumen from the protozoa is a way of trying to reduce the emissions of ruminants. Various products (bentonite, tannins, yeasts) have been tested in vitro, but the results cannot be measured in practice, except indirectly from the acid profile of the milk 19. In an in-vivo experiment on cows in individual head chambers 56, an Italian product, supplemented at 8 g head d-1 Enteric, showed a significant reduction in methane emissions of about 20%, while the protein % of the milk increased parallelly by around 5%.

    As a corollary, we here report the experience of two colleagues 14,16 who, on examining the rumen fluid of cows fed mycorrhized and non-mycorrhized corn under a microscope, discovered a multiform and multicolored collection of microflora in the former, that is, a colored photograph vs. a black and white one.


    In this work, it has been shown that a subtle fil rouge connects the brown world, vitalized by a biofertilizer consortium with mycorrhizae, to the growth and composition of plants up to the transformation into a milk protein, of a nobility that is even superior to the standard gold of the egg. In fact, Schaafsma 57 found 121 vs. 118 Protein Digestibility-Corrected Amino Acid Scores (PDCAAS), for milk and eggs, respectively, that is, an unequivocal assertion that milk proteins are superior to plant proteins in cereal-based diets (83 PDCAAS for heated soybean meal).

    Biofertilizers based on arbuscular mycorrhizae have so far been noted for their P solubilizing performances in the soil. But in this longer way, it is the nitrogen that excels in efficiency, from the brown of the soil to the white of the milk. Moreover, the functional properties of a milk labeled as biofertilized or a “symbiotic” dimension, equipped with a particular set of antioxidant vitamins, that is, A and E, and fewer saturated fatty acids, allows a real evolutionary leap to be made toward a new vision of sustainable agriculture for the environment and for animals, by combining a better quality of products, animal welfare and at the same time improving the company budget about 9-17%.

    In conclusion, the experimental observations summarized in this work constitute the analytical core of an interdisciplinary study related to the repercussions of the use of Micosat F in Zea mays crops on the dairy sector. However, further investigations need to be carried out on the still unknown aspects in the bromatology and agronomic fields.


    Thanks are due to the Regione Piemonte for financing the PROLACTE. - Progetto POR-FESR Asse I POR-FESR 2007/2013 - ASSE I – Innovazione e transizione project. Special thanks to dr. Francesco Chiara of the and dr. Mauro Fontana for the analyses of the bulk samples of milk. Thanks are also due to Coop. Piemonte Latte (Savigliano, CN) and to the farmers Alessandro and Marco Bergese (Monasterolo di Savigliano, CN), Gianpaolo and Piero Chiappero (Carmagnola, TO), Alessandro Balma (Venaria, TO), Giacinto Ferrero (Ceresole d’Alba, CN), Giuseppe and Roberto Morello (Savigliano, CN), and to heirs of Enrico Valcarenghi (Soncino, CR) for their kind collaboration in planning and conducting the experiments.


    1.Aguilar-Paredes A, Valdés G, Nuti M. (2020) . Ecosystem Functions of Microbial Consortia in Sustainable Agriculture.Agronomy10(1902): 1-19.
    2.Schütz L, Gattinger A, Meier M, Müller A, Boller T et al. (2017) Improving Crop Yield and Nutrient Use Efficiency via Biofertilization-A Global Meta-analysis.Front. Plant Sci.8. 2204, 1-13.
    3.Johnson N C, Wilson G W, Wilson J A, Miller R M, Bowker M A. (2015) . Mycorrhizal phenotypes and the Law of the Minimum.New Phytol.205 1473-84.
    4.Thirkell T J, Cameron D D, Hodge A. (2016) Resolving the ‘nitrogen paradox’ of arbuscular mycorrhizas: fertilization with organic matter brings considerable benefits for plant nutrition and growth.Plant. , Cell & Environment
    5.Mäder P. (2011) Inoculation of root microorganisms for sustainable production of high nutritional quality wheat. in India.Soil Biology & Biochemistry43 609-619.
    6.Raiola A, Tenore G C, Petito R, Ciampaglia R, Ritieni A. (2015) Improving of nutraceutical features of many important mediterranean vegetables by inoculation with a new commercial product.Current Pharm Biotech. 16, 738-746.
    7.Tripaldi C, Novero M, S Di Giovanni, Chiarabaglio P M, Lorenzoni P et al. (2017) Impact of Mycorrhizal Fungi and rhizosphere microorganisms on maize grain yield and chemical composition.Pak. , J. Agri. Sci 54, 857-865.
    8.Masoero G, Mazzinelli G, Balconi C, Locatelli S, Lanzanova C et al. (2020) Spectroscopic Kernel Quality from a Symbiotic Corn Production.Journal of Agronomy Research2(4). 18-33.
    9.Sabia E, Claps S, Napolitano F, Annicchiarico G, Bruno A et al. (2015) In vivo digestibility of two different forage species inoculated with arbuscular mycorrhiza. in Mediterranean red goats.Small Ruminant Research123 83-90.
    10.Sabia E, Claps S, Morone G, Bruno A, Sepe L et al. (2015) Field inoculation of arbuscular mycorrhiza on maize (Zea maysL.) under low inputs: preliminary study on quantitative and qualitative aspects.It. , J. Agronomy10 30-33.
    11.Pinar U. University of Naples Federico II (2016) Improvement of forage yield to improve dairy product quality: mycorrhizal fungi application and differentiation of forage conservation methods. Doctoral thesis. 1-84.
    12.Masoero G, Rotolo L, Zoccarato I, Gasco L, Schiavone A et al. (2018) Symbiotic corn can improve yield, reduce mycotoxins and preserve nutritive value.Agricultural Research Updates24. 117-140.
    13.Peiretti P G, Tassone S, Masoero G, Barbera S. (2018) Chemical and physical properties of meat of bulls and steers fed Mycorrhizal or Conventional corn.Agricultural Research Updates23. 177-196.
    14.Chiariotti A, Meo Zilio D, Contò G, S Di Giovanni, Tripaldi C. (2015) Effects of mycorrhized maize grain on milk and on rumen environment of Italian Holstein dairy cows.Italian. , Journal of Animal Science14 1, 144.
    15.Pinar U, Masucci F, Varricchio M L, Serrapica F, Ottaviano L et al. (2017) Effects of arbuscular mycorrhizal fungi and low fertilizer supply on forage quality, milk traits and profitability.Italian. , Journal of Animal Science16 1, 219-220.
    16.Tripaldi C, S Di Giovanni, Lacurto M, Locatelli S, Rinaldi S et al. (2020) Characteristics of the milk of Italian Holstein dairy cows fed a diet including mycorrhized maize grain. Journal of Food Safety and Food Quality-Archiv Fur Lebensmittelhygiene71 45-54.
    17.Tripathi M K. (2014) Effect of nutrition on production, composition, fatty acids and nutraceutical properties of milk.J. , Adv. Dairy Res.2 115, 1-11.
    18.SRO Williams, Hannah M C, Jacobs J L, Wales W J, Moate P J. (2019) Volatile Fatty Acids in Ruminal Fluid Can Be Used to Predict Methane Yield of Dairy Cows. 9(12), 1-21.
    19.Dijkstra J, Van Zijderveld SM, Apajalahti J A, Bannink A, Gerrits W J et al. (2011) Relationships between methane production and milk fatty acid profiles in dairy cattle.Animal Feed Science and. Technology166 590-595.
    20.Williams C M. (2000) Dietary fatty acids and human health.Annales de. Zootechnie49 165-180.
    21.Pizzoferrato L, Manzi P, Marconi S, Fedele V, Claps S et al. (2007) . Degree of Antioxidant Protection: A Parameter to Trace the Origin and Quality of Goat’s Milk and Cheese.J. Dairy Sci 90, 4569-74.
    22.Masoero G, Giovannetti G. (2015) In vivo stem pH testify the acidification of the maize treated by mycorrhizal and microbial consortium.Journal of Environmental and. , Agricultural Sciences 3, 23-30.
    23.Volpato S, Masoero G, Mazzinelli G, Balconi C, Locatelli C et al. (2019) Spectroscopic and foliar pH Model for Yield prediction in a Symbiotic Corn Production.Journal of Agricultural Research2. 2, 1-18.
    24.Goldring D, Sharon D. (2016) Low-cost spectrometry system for end-user food analysis.United States Patent US009377396 B2.
    25.Masoero G, P G, Cugnetto A, Giovannetti G. (2018) Raw pH fall-out as a sign of a mycorrhizal modifier ofSorghum sudanensis.Journal of Agronomy Research. 1(2), 1-11.
    26.Peiretti P G, Masoero G, Tassone S. (2020) Near infrared reflectance spectroscopy (NIRS) evaluation of the nutritive value of leaf and green pruning residues of grapevine (Vitis viniferaL.). In:Grapevines at a Glance. , NY, Chapter 3, 67-89.
    27.Electric Foss. (2004) DK-3400 Hilleröd, Denmark FOSS Analytical, Application Note. No. 128e, MilkoScan™ FT 120, Improved Milk Calibration November, P/N 580282 1-17.
    28.Borreani G, Battelli G, Giaccone D, Masoero G, Peiretti P G et al. (2003) Conjugated Linoleic acid (CLA) and 12-methlyltridecanoic acid content of cheeses produced in winter and summer in alpine environment.5° Colloque Fromages d’Alpage– Arèche /Beaufort. 12-12 septembre. 32-33.
    29.Chion A R, Tabacco E, Giaccone D, Peiretti P G, Battelli G et al. (2010) Variation of fatty acid and terpene profiles in mountain milk and “Toma piemontese” cheese as affected by diet composition in different seasons.Food. Chemistry121 393-9.
    30.Panfili G, Manzi P, Pizzoferrato L. (1994) HPLC simultaneous determination of tocopherol, carotenes, retinol and its geometric isomers in Italian cheeses.Analyst119,1161-1165.
    31.Masoero G, Cugnetto A. (2018) The raw pH in plants: a multifaceted parameter.Journal of. , Agronomy Research 1(2), 1-11.
    32.Giovannetti G, Polo F, Nutricato S, Masoero G, Nuti M. (2019) Efficacy of commercial symbiotic bio-fertilizer consortium for mitigating the Olive Quick Decline Syndrome (OQDS). , Journal of Agricultural Research 2(1), 1-21.
    33.Baldi E, Toselli M, Masoero G, Nuti M. (2020) Organic and symbiotic fertilization of tomato plants monitored by Litterbag-NIRS and Foliar-NIRS rapid spectroscopic methods.Journal of Agronomy Research3(1). 9-26.
    34.CugnettoA LajoloL, VitaloniG SarassoG, Borgogno Mondino EC, Nuti M, Giovannetti G et al. (2021) Vineyard clusters monitored by means of. Litterbag-NIRS and Foliar-NIRS spectroscopic methods.Journal of Agronomy Research3 2, 39-56.
    35.Masoero G, Cugnetto A, D’Amore F, Giovannetti G, Nuti M. (2020) . UV rays Decrease Foliar pH in Cress (Lepidium Sativum)and Modify NIR Spectrum.Journal of Agronomy Research3(2) 17-27.
    36.Masoero G, Cugnetto A. (2018) The raw pH in plants: a multifaceted parameter.Journal of Agronomy Research1(2). 18-34.
    37.Masoero G, Cugnetto A, Sarasso G, Giovannetti G, Nuti M. (2019) Sunspots are correlated with foliar pH in grapevine.Journal of Agronomy Research2(3). 31-41.
    38.Malusà E, Sala G, Chitarra W, Bardi L. (2013) Improvement of response to low water availability in maize plants inoculated with selected rhizospheric microbial consortia under different irrigation regimes.Int. , J. Environ. Qual. Alma Mater Studiorum - University of Bologna12 13-21.
    39.Zoppellari F, Malusà E, Chitarra W, Lovisolo C, Spanna F et al. (2014) Improvement of drought tolerance in corn (Zea mays L.) by selected rhizospheric microorganisms.It. , J Agrometeorology1 5-18.
    40.Nuti M, Giovannetti G. (2015) . Borderline Products between Bio-fertilizers/ Bio-effectors and Plant Protectants: The Role of Microbial Consortia.JAST-A5 .
    41.A de Matos Nascimento, Maciel A M, Silva J B, Mendonça H V, de Paula VR et al. (2020) Biofertilizer application on corn (Zea mays) increases the productivity and quality of the crop without causing environmental damage.Water, Air. , Soil Pollution231 414, 1-10.
    42.Baghdadi A, Halim R A, Ghasemzadeh A, Ramlan M F, Sakimin S Z. (2018) Impact of organic and inorganic fertilizers on the yield and quality of silage corn intercropped with soybean.PeerJ6:e5280.
    43.Friggens N C, Ridder C, Løvendahl P. (2007) On the use of milk composition measures to predict the energy balance of dairy cows.Journal of Dairy Science90. 5453-67.
    44.Masoero G, G Sala, Moioli B. (2007) Efficiency of different Spectroscopies and the Electronic Nose Techniques for the characterisation of milk.Italian. , J. Anim. Sci 6, 450-452.
    45.Rubino R, Pizzillo M, Masoero G. (2012) . Blueprints in different milk systems.First WwTCa International Conference , Ragusa .
    46.Masoero G. (2012) Fluorescence Spectroscopy of milk tracks feeding regimen and geographic origin.First. WwTCa International Conference , Ragusa .
    47.Battaglini L M, Renna M, Lussiana C, Lombardi G, Probo M et al. (2017) Smart near infrared spectroscopy on frozen milk samples can discriminate grass-fed from conventional milk.Italian. , Journal of Animal Science16 1, 209-210.
    48.Rubino R, Masoero G, Pizzillo M. (2011) A down-up approach to organise the variability of Commercial, Nutritional and Aromatic properties of cow milk and grading in quality. classes.10th International Meeting on Mountain Cheese,Dronero(CN),Italy.23-24 .
    49.Bernardini D, Gerardi G, Elia C A, Marchesini G, Tenti S et al. (2010) Relationship between milk fatty acid composition and dietary roughage source in dairy cows.Veterinary research communications34. 135-143.
    50.Strusińska D, Antoszkiewicz Z, Kaliniewicz J. (2010) The concentrations of β-carotene, vitamin A and vitamin E in bovine milk in regard to the feeding season and the share of concentrate in the feed ration.Rocz. , Nauk. Pol. Tow. Zoot 6, 213-20.
    51.Lippert I, Rolletschek H, Kohl J G. (2001) Photosynthetic pigments and efficiencies of two Phragmites australis stands in different nitrogen availabilities.Aquatic. Botany69 359-65.
    52.Kopsell D A, Kopsell D E, Curran‐Celentano J. (2007) Carotenoid pigments in kale are influenced by nitrogen concentration and form.Journal of the Science of Food and. Agriculture87 900-7.
    53.Chenard C H, Kopsell D A, Kopsell D E. (2005) Nitrogen concentration affects nutrient and carotenoid accumulation in parsley.J. Plant Nutr.28 285-297.
    54.Fester T, Schmidt D, Lohse S, Walter M H, Giuliano G et al. (2000) Stimulation of carotenoid metabolism in arbuscular mycorrhizal roots.Planta216. 148-54.
    55.Finlay B J, Esteban G, Clarke K K, Williams A G, Embley T M et al. (1994) Some rumen ciliates have endosymbiotic methanogens.FEMS Microbiol. Lett.117 157-161.
    56.Ross E G, Peterson C B, Carrazco A V, Werth S J, Zhao Y et al. (2020) . Effect of SOP “STAR COW” on Enteric Gaseous Emissions and Dairy Cattle Performance.Sustainability12 10250, 1-12.
    57.Schaafsma G. (2000) The protein digestibility–corrected amino acid score.The. , Journal of nutrition130 1865, 1-3.