Prediction of the digestible energy content of hay for horses from their chemical composition using the National Institute of Agricultural Research system: new models

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Abstract

Digestible energy (DE) accounts for the major fraction of the energy content of hay fed to equines, but DE measurements are difficult to carry out, and researchers have developed models for predicting the DE content of hays for horses from their chemical composition. Digestible energy varies depending on botanical family, species, and agronomic and climatic conditions. A database of 61 hays harvested in a temperate zone (32 natural grassland hays, 16 grass hays and 13 lucerne hays) was set up from studies carried out at the French National Institute of Agricultural Research (INRAe) or extracted from the literature using a similar methodological corpus, to test the relevance of crude fibre (CF), NDF, ADF, total free reducing sugars (TFRS), CP as potential criteria for the prediction of organic matter digestibility (OMD), energy digestibility (ED) and digestible energy (DE). Models were developed for natural grassland hay, grass hay and lucerne hay. The adjusted cross-validation R2 values (R2CV) of the models obtained using CF, ADF or NDF as single variables or in combination with CP for the prediction of OMD, ED and DE of natural grassland hay ranged from 0.84 to 0.86, from 0.83 to 0.86 and from 0.82 to 0.84, respectively. For grass hay, the R2CV were lower and ranged from 0.65 to 0.71, from 0.63 to 0.71 and from 0.62 to 0.68, for the prediction of OMD, ED and DE, respectively. Finally, for lucerne hay, the R2CV ranged from 0.65 to 0.72, from 0.34 to 0.74 and from 0.25 to 0.67, for the prediction of OMD, ED and DE, respectively. The R2CV of the prediction models of ED and DE were more heterogeneous for lucerne hay than for grassland and grass hay. The TFRS content of hay was never a significant predictive variable of OMD, ED or DE, either as single variable or combined with any cell wall content criterion. The models obtained in the present study improved those proposed by INRA to date.

利用国家农业研究所系统,从化学成分预测马用干草的可消化能量含量:新模型
可消化能(DE)是饲喂马匹的干草中能量含量的主要部分,但可消化能的测量很难进行,研究人员已经开发出了从化学成分预测马匹干草中可消化能含量的模型。可消化能量因植物科属、物种、农艺和气候条件而异。从法国国家农业研究院(INRAe)开展的研究或使用类似方法从文献中提取的资料中建立了一个包含 61 种在温带地区收获的干草(32 种天然草地干草、16 种禾本科干草和 13 种苜蓿干草)的数据库,以测试粗纤维(CF)、NDF、ADF、总游离还原糖(TFRS)、CP 作为预测有机物消化率(OMD)、能量消化率(ED)和可消化能(DE)的潜在标准的相关性。为天然草地干草、禾本科干草和苜蓿干草建立了模型。将 CF、ADF 或 NDF 作为单一变量或与 CP 结合使用以预测天然草地干草的 OMD、ED 和 DE,所得到的模型的调整交叉验证 R2 值(R2CV)分别为 0.84 至 0.86、0.83 至 0.86 和 0.82 至 0.84。对于禾本科干草,预测 OMD、ED 和 DE 的 R2CV 较低,分别为 0.65 至 0.71、0.63 至 0.71 和 0.62 至 0.68。最后,对于苜蓿干草,预测 OMD、ED 和 DE 的 R2CV 分别为 0.65 至 0.72、0.34 至 0.74 和 0.25 至 0.67。与草地和禾本科干草相比,苜蓿干草 ED 和 DE 预测模型的 R2CV 差异更大。无论是作为单一变量还是与任何细胞壁含量标准相结合,干草的TFRS含量都不是OMD、ED或DE的重要预测变量。本研究获得的模型改进了迄今为止法国国家农业研究院提出的模型。
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