Dairy Cattle Research Laboratory, Universidade Federal de Mato Grosso, Sinop, Mato Grosso, Brazil.
PLoS One. 2024 Aug 29;19(8):e0308889. doi: 10.1371/journal.pone.0308889. eCollection 2024.
Accurately predicting phosphorous (P) and calcium (Ca) dietary requirements is critical for optimizing dairy cattle performance, and minimizing mineral excretions and ecosystems eutrophication. This study provides a new factorial system to determine net and dietary P and Ca requirements for maintenance and lactation, derived from a meta-regression of mineral trials involving lactating dairy cows. A comprehensive global database was constructed from 57 peer-reviewed articles of mineral balance trials, with a wide range of dietary and animal performance data. We estimated the net requirements for maintenance from the intercept of a nonlinear equation between mineral intake and the sum of total fecal and urinary excretions, which is an estimate of endogenous mineral loss. Mineral secreted in milk was used to obtain net requirements for lactation. The mineral metabolizable coefficient was quantified through observed (treatment means) mineral intake and total fecal and urinary excretions, discounting the estimated endogenous excretions from our proposed models. The nonlinear models of total fecal and urinary mineral excretion were evaluated (observed versus predicted values) using a 5-fold cross validation approach. The models to estimate the sum of endogenous fecal and urinary excretions of P (0.135±0.043 g P/kg BW0.75) and Ca (0.360±0.144 g Ca/kg BW0.75) exhibited suitable precision and accuracy; r = 0.89 and 0.79, concordance correlation coefficient = 0.85 and 0.77, and root mean square prediction error = 24.1 and 20.5% observed means, respectively. Dietary variables (forage level, fiber, starch, crude protein, and ether extract) did not affect the metabolizable coefficient (MC) of P and Ca; therefore, an overall dietary MC of P (0.69±0.01) and Ca (0.65±0.02) were proposed. Our new system estimates lower net and dietary P requirements for lactating dairy cows compared to the NASEM-2021 and NRC-2001 models, but slightly higher Ca requirements than NASEM-2021.This proposed system holds potential to reduce the use of phosphorus in diets for dairy cows, and thus to enhance economic efficiency and environmental sustainability of the dairy industry.
准确预测磷 (P) 和钙 (Ca) 的膳食需求对于优化奶牛生产性能、减少矿物质排泄和减缓生态系统富营养化至关重要。本研究提供了一种新的因子系统,用于确定维持和泌乳的净 P 和 Ca 需求,该系统源自对涉及泌乳奶牛的矿物质试验的元回归。利用广泛的饲粮和动物生产性能数据,从 57 篇经过同行评审的矿物质平衡试验的文章中构建了一个全面的全球数据库。我们通过矿物摄入量与总粪尿排泄量之和之间的非线性方程的截距来估计维持的净需求量,该值是内源性矿物质损失的估计值。从乳中分泌的矿物质用于获得泌乳的净需求量。通过观察到的(处理平均值)矿物质摄入量和总粪尿排泄量来量化矿物质可代谢系数,扣除我们提出的模型中估计的内源性排泄量。使用 5 倍交叉验证方法评估总粪尿矿物质排泄的非线性模型(观察值与预测值)。用于估计 P(0.135±0.043 g P/kg BW0.75)和 Ca(0.360±0.144 g Ca/kg BW0.75)内源性粪尿排泄量之和的模型具有合适的精度和准确性;r = 0.89 和 0.79,一致性相关系数 = 0.85 和 0.77,均方根预测误差 = 24.1%和 20.5%观察值均值。饲粮变量(粗饲料水平、纤维、淀粉、粗蛋白和乙醚提取物)不影响 P 和 Ca 的可代谢系数(MC);因此,提出了 P(0.69±0.01)和 Ca(0.65±0.02)的总饲粮 MC。与 NASEM-2021 和 NRC-2001 模型相比,本研究新系统估计泌乳奶牛的净和饲粮 P 需求较低,但 Ca 需求略高于 NASEM-2021。该系统有潜力减少奶牛饲粮中 P 的用量,从而提高奶牛业的经济效益和环境可持续性。