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The experimental area is located at the José Henrique Bruschi Experimental Field, belonging to Embrapa Dairy Cattle, in the municipality of Coronel Pacheco, MG, Brazil (Supplementary material - Figure S1). The climate of the region is Aw, that is, tropical with dry winter, according to the Köppen-Geiger classification. The average annual air temperature is 21.4ºC and the mean annual precipitation volume is 1,620.6 mm. The experimental area has an altitude between 414 and 418 m, and dystrophic Yellow Latosol with a clay texture predominates. The trial was conducted in a randomized complete block design with three replications, with 22 elephant grass genotypes being evaluated, totaling 66 experimental plots with three 4-meter lines, with 1.2 meters spacing between lines and plots, with a pre-established usable area of 3.6 m² (3 × 1.2 m), which aimed to minimize border effects of the plots (Supplementary material - Figure S1). The total area of the experiment involved 0.6 hectares.

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Data_elephant_grass_HTP

The experimental data for this study were obtained from multiple environmental trials of elephant grass clones grown for bioenergy purposes. The study was conducted between 2015 and 2018 in six environments by the Brazilian Agricultural Research Corporation (Embrapa). The evaluated trait was total dry biomass (Mg ha− 1 year− 1), and the trials were composed of 21 clones planted in rectangular plots (1.2 × 4.0 m), consisting of three rows planted side by side in a randomized block design with three replications. Clones 19 (BRS Canará) and 20 (BRS Capiaçu) are commercial clones that were used as checks on the trails. The genotypes were planted in 0.20 m deep furrows, and fertilizer was applied at planting according to the soil analysis. The maintenance fertilizer was applied at a rate of 300 kg ha−1 year−1 N-P2O5-K2O (20:05:20 blended granular fertilizer) in all environments after each evaluation cutting. However, the dataset produced by these trials was highly unbalanced because not all genotypes were planted in all environments.

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