Prognostic capacity assessment of a multiparameter risk score for aerobic stability of maize silage undergoing heterofermentative inoculation (Lactobacillus buchneri) in variable ensiling conditions

Serva, Lorenzo; Andrighetto, Igino; Marchesini, Giorgio; Contiero, Barbara; Grandis, Daniel; Magrin, Luisa

doi:10.1016/j.anifeedsci.2021.115116

Cited by 11 publications

(24 citation statements)

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“…The higher DM content of the pre-ensiled maize could be a slight risk factor for aerobic instability [11], and this could be partially due to the lower WSC content available at later harvested maize, usable by the bacteria producing lactic and acetic acid [32], therefore, pH typically increases [29]. Here, at the Cox-AIC, the DM showed an HR of 1.04, confirming the finding of the previous study conducted by the authors [11]. The HR with values from 0 to 1 are preservative to risk, if equal to 1 expresses no effect, while if greater than 1 increases risk.…”

Section: Discussionmentioning

confidence: 99%

“…The sealed buckets were stored in a dark room for 60 days at a stable temperature of approximately 23 • C, assuring a better anaerobic ensiling condition. The FHM was immediately analyzed for proximate composition using a portable NIR system (PoliSPECNIR, ITPhotonics, Breganze, Italy) [11,21]. The estimated chemical traits were: dry matter (DM), ash, crude protein (CP), fat (EE), aNDF, ADF, lignin (sulfuric acid, sa), water-soluble carbohydrates (WSC), and starch.…”

Section: Methodsmentioning

confidence: 99%

“…Advanced technology permits the collection of big data from spatial yield and nutrient characteristics at harvest. These data can be used by farmers and maize growers to make better processing choices at the time of harvest and when processing the whole maize plant into the silos [11,12]. Due to big data availability, the use of Machine Learning (ML) techniques has become more common in agricultural research in establishing knowledge-based farming systems [13,14] and particularly for estimating silage fermentation quality from freshly harvested maize [15].…”

Section: Introductionmentioning

confidence: 99%

“…The strains of Lactobacillus buchneri (Lb) increases acetic acid production in silage, inhibiting the yeasts and increasing aerobic stability [18], but the effects of different dosages on the fermentative profile are controversial [7,11,19].…”

Section: Introductionmentioning

confidence: 99%

“…The prognostic multiparametric risk score (PMRS) evidences the risk factors linked to the onset of a given disease, and nomograms are widely used because of their ability to reduce predictive models into a single numerical estimate of the probability of an event [20]. The PMRS was proposed to quickly evaluate the aerobic instability of maize silage, which can be considered a silage disease [11], and to find the risk factors associated with the onset of instability.…”

Section: Introductionmentioning

confidence: 99%

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Short Communication: Prognostic Values of a Multiparametric Risk Score in Maize Silage Undergoing Different Ensiling Conditions

et al. 2022

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We studied the effects of the use of Lactobacillus buchneri (Lb) and the maize pre-ensiling composition on the aerobic silage stability in a panel of 88 maize ensiled 60 days in 21 L buckets. Lb was dispensed at three dosages and compared to a control (pure water). The prognostic multiparametric risk score was used to find the risk factors related to the chemical composition of the fresh plant, associated with the onset of aerobic instability in maize silage. A multivariable Akaike’s Information Criterion in the backward Cox proportional hazard regression was estimated for pre-ensiled maize chemical traits. A Multiple Factorial Analysis (MFA) was calculated. The hazard ratios were 1.02, 1.34, 0.66, 0.65, 1.57, and 1.06 for dry matter (DM), crude protein (CP), ether extract (EE), aNDF, lignin (sulfuric acid, sa), and water-soluble carbohydrates (WSC), respectively (p < 0.05, DM, p = 0.15). At the MFA, ash, CP, aNDF, ADF, and lignin (sa) were grouped with a positive Dim-1, while DM, EE, and starch were grouped with a negative coordinate; WSC stood alone with Dim-1 close to zero. CP, EE, aNDF, lignin (sa), and WSC resulted in the most relevant traits and were used to build the nomogram. The use of strains of Lb improved the aerobic stability for maize harvested at <300 g/kg of DM.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Short Communication: Prognostic Values of a Multiparametric Risk Score in Maize Silage Undergoing Different Ensiling Conditions

et al. 2022

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Chemometrics, NIRS-XRF and wet chemistry laboratory, and research Group – Department of Animal Medicine, Production and Health, University of Padova

2021

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Fermentation quality and bacterial community of delayed filling stylo silage in response to inoculating lactic acid bacteria strains and inoculating time

Tian

Huang

Tian

et al. 2023

Chem. Biol. Technol. Agric.

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Background Filling silos generally takes much time in practice, which may negatively affect silage fermentation and feed intake. To clarify the effects of inoculating time, lactic acid bacteria (LAB) strains and filling time on the silage fermentation and microbes of stylo (Stylosanthes guianensis) and its silage, ensiling was quickly performed (quickly filling, QF) with or without LAB (Lactobacillus plantarum SXC48, Lb. plantarum CCZZ1 and Enterococcus faecalis XC124), and was performed after stylo inoculated with or without LAB was placed for 1 day (delayed filling, DF1) and 2 days (DF2). Results Delayed filling significantly increased pH, buffering capacity, microbial counts and lactic acid, acetic acid and NH3–N contents of stylo prior to ensiling. Inoculating Lb. plantarum SXC48 and CCZZ1 improved the fermentation quality of QF silage, indicated by more lactic acid, as well as lower pH and butyric acid content. Inoculating time significantly affected the pH and lactic acid content of silages. For the DF2 silages, inoculating SXC48 at filling was better than at chopping, while inoculating CCZZ1 had good fermentation quality, regardless of inoculating time. The results of 16S rRNA sequencing indicated that delayed filling enhanced the bacterial diversity of materials and silage, and inoculating significantly changed the composition of silage microbes. Kosakonia, Pseudomonas and Pantoea jointly dominated the fresh material, while Pantoea and Lelliottia jointly dominated the DF2 material. For the QF silages, inoculating SXC48 and CCZZ1 increased the relative abundance of Lactobacillus from 16.4% in the control silage to 76.5% and 82.0%, respectively. Pantoea and Lelliottia jointly dominated the DF silages. Inoculating SXC48 and CCZZ1 also increased the relative abundance of Lactobacillus in the DF stylo silages. Conclusions Under the present research conditions, delayed filling increased the lactic acid content and reduced the acetic acid, propionic acid and NH3–N contents of stylo silage, however, increased the bacterial diversity and relative abundance of undesirable bacteria, such as Pantoea and Lelliottia. The inoculating effectiveness varied with the LAB strains and inoculating time. Inoculating strian SXC48 at filling was better than at chopping, while inoculating strian CCZZ1 at both chopping and filling obtained the similar benefit. Graphical Abstract

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Prognostic capacity assessment of a multiparameter risk score for aerobic stability of maize silage undergoing heterofermentative inoculation (Lactobacillus buchneri) in variable ensiling conditions

Cited by 11 publications

References 47 publications

Short Communication: Prognostic Values of a Multiparametric Risk Score in Maize Silage Undergoing Different Ensiling Conditions

Short Communication: Prognostic Values of a Multiparametric Risk Score in Maize Silage Undergoing Different Ensiling Conditions

Chemometrics, NIRS-XRF and wet chemistry laboratory, and research Group – Department of Animal Medicine, Production and Health, University of Padova

Fermentation quality and bacterial community of delayed filling stylo silage in response to inoculating lactic acid bacteria strains and inoculating time

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