A Method for Estimating Clipping Biomass of Turfgrass Varieties During French Catalog Registration Procedures
This study establishes a simple operational protocol to estimate turfgrass mowing waste across 18 varieties and 7 species evaluated in four field trials. It uses PCA‐inspired analyses, stepwise and PLS variable selection, and species‐specific covariance modeling to predict clipping biomass.
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Detalizēts apraksts
The paper describes the development of a straightforward method to quantify mowing residues of turfgrass varieties during the official French catalog registration (VCUS/VATE) process. Eighteen varieties representing seven turf species were grown in four distinct field trials. Researchers recorded shoot height, canopy density, and leaf fineness, then applied PCA‐based factorial analyses in R to assess the effects of location and species. Stepwise (AIC) and PLS regression identified the most explanatory variables. Finally, species‐specific analysis of covariance models, incorporating trial site and visually assessed height (scale 1–9), quantified clipping biomass, revealing consistent growth slopes across locations. The protocol is now integrated into routine VCUS evaluations.
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Detalizēta informācija par materiālu
- Projekts
- Atrašanās vieta
- France
- Autori
- Vincent GENSOLLEN, Stéphane LASSALVY, Mustapha BENKEDDER, Corinne BERTHUIT, Pascal BOURDON, Stéphane CHARRIER, Christophe GALBRUN, Jean-Paul SAMPOUX et Christian HUYGHE
- Mērķis
- Adopt innovative practices
- Faila tips
- dokuments
- Izveidots
- 2016. g. 01. apr.
- Izcelsmes valoda
- French
- Oficiālā projekta tīmekļa vietne
- Innovations agronomiques
- Licence
- CC BY
- Atslēgas vārdi