Evaluation of quality of semi-natural grasslands of central Serbia upon phytosociological and numerical analysis

Petrović, Mirjana; Aćić, Svetlana; Zornić, Vladimir; Andjelković, B.; Dajić-Stevanović, Zora; Babić, Snežana

doi:10.2298/bah1302363p

Cited by 2 publications

(2 citation statements)

References 3 publications

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“…It was particularly surprising that phytosociological and functional classifications combined (P+F) predicted pastoral value the best, because i) yield, part of the pastoral value equation, is predicted well by agronomic classification, and ii) calculating the pastoral value requires the pastoral value and relative biomass of each species, which is provided by agronomic classification (Daget and Poissonet, 1971). Functional traits (Tasset et al, 2019) and phytosociology (Petrovic et al, 2013) can be used to predict forage quality, but our result shows that combining them improves predictions. Phytosociology alone may not be sufficient to predict pastoral value due to the inclusion of different facies in the same phytosociological class (Bagella and Roggero, 2004).…”

Section: Combining Classifications: a Solution?mentioning

confidence: 79%

“…Once developed, the use of phytosociological classifications requires only a complete botanical relevé and less than an hour in each field. Phytosociology can also be used to predict agronomic characteristics, such as forage quality, and environmental characteristics by using indicator species (Petrovic et al, 2013); however, coefficients of abundance-dominance correlate only weakly with each species' percentage of total grassland biomass (i.e. relative biomass) , which can skew assessment of agronomic characteristics (Daget and Poissonet, 1971;Pittarello et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

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Permanent grassland classifications predict agronomic and environmental characteristics well, but not ecological characteristics

Mesbahi

Michelot‐Antalik

Goulnik

et al. 2020

Ecological Indicators

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Permanent grasslands produce highly diverse ecosystem goods and services, which need to be easily assessed by decision makers. Naturalists and agronomists classify grasslands in different ways to predict ecological, agronomic and environmental characteristics of the grasslands. However, few studies have compared the prediction abilities of these different classifications using the same botanical relevés, and none has explored the utility of combining classifications. In this study, we attributed a grassland class from each of three classifications (phytosociological, agronomic and functional) to 250 permanent grasslands in north-eastern France to predict 16 characteristics: nine ecological, three agronomic and four environmental. We used statistical model selection to identify the classification or combination of classifications that best predicted each characteristic. Our results showed great prediction ability of agronomic classification, which created the best models for predicting agronomic (yield) and environmental (management, elevation) characteristics. We also identified a strong prediction ability of combining two or all three classifications to predict seven other grassland characteristics. However, grassland classifications did not predict most of the ecological characteristics well. We can assume that phytosociological classification, despite its mainstream use, predicts grassland characteristics less well than agronomic classification. We recommend combining grassland classifications to improve rapid prediction abilities. This study provides new knowledge useful for developing grassland classifications which meet the needs of agronomists and naturalists.

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Section: Combining Classifications: a Solution?mentioning

confidence: 79%

Section: Introductionmentioning

confidence: 99%

Permanent grassland classifications predict agronomic and environmental characteristics well, but not ecological characteristics

Mesbahi

Michelot‐Antalik

Goulnik

et al. 2020

Ecological Indicators

View full text Add to dashboard Cite

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Plant Composition and Feed Value of First Cut Permanent Meadows

et al. 2023

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Permanent grasslands represent the main terrestrial ecosystem and serve as an important global reservoir of biodiversity, providing a wide range of benefits to humans and ecosystems. The effects of environment on permanent meadows (in our survey, they were centuries-old meadows that had not been plowed, mowed, or fertilized with manure) production have been adequately investigated in literature. However, plant species composition impact on potential feed value of first cut has still to be understood, in particular regarding different agronomic management. Our field trial was carried out in five farms, in a territory involved in the value chain of the Parmigiano Reggiano PDO (Val d’Enza, Northern Italy), over a two-year period (2017–2018). Differences in botanical composition, biomass, and Pastoral Value index (PV), which synthesizes grassland yield and nutritional parameters, were investigated in depth. The herbage dry matter (DM) yield was affected by year, farm, and their interaction factors. Its highest value across the two years was recorded in farm 5 (11.7 tons of DM ha−1), which applied the highest rate of nitrogen fertilization. The botanical composition of the first cut has favored the presence of both Poaceae and ‘other species’ (each one around 40 plants per transect) compared to Fabaceae (seven plants per transect). However, higher numbers of Fabaceae plants (13 and 10) plausibly determined increases in PV in farms 3 and 5 (56.4 and 58.7, respectively). Although differences were observed among the most important nutritional parameters of grassland (crude protein, digestible and undigested neutral detergent fiber contents), suitable net energy for lactation (NEL) values for feeding lactating cows were always recorded during the two years of survey. The present study provides a contribution of knowledge on how the botanical composition of permanent meadows may affect their potential nutritive value as fresh herbage for feeding dairy cows. Considering these results, the agronomic management should seek a level of plant biodiversity that at the same time might guarantee satisfactory yield and feed value, also in a context of climate change.

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Evaluation of quality of semi-natural grasslands of central Serbia upon phytosociological and numerical analysis

Cited by 2 publications

References 3 publications

Permanent grassland classifications predict agronomic and environmental characteristics well, but not ecological characteristics

Permanent grassland classifications predict agronomic and environmental characteristics well, but not ecological characteristics

Plant Composition and Feed Value of First Cut Permanent Meadows

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