Validation of Brix for predicting sugar concentrations of alfalfa and orchardgrass*

IF 1.4 Q3 AGRICULTURE, DAIRY & ANIMAL SCIENCE Applied Animal Science Pub Date : 2024-08-01 DOI:10.15232/aas.2024-02552
Eric D. Billman , Kathy J. Soder , Jeff Horst , Aimee Hafla , Kristi Balk
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Abstract

Objectives

The objective of this study was to evaluate the accuracy of Brix in predicting sugar concentrations in fresh alfalfa (ALF; Medicago sativa L.) and orchardgrass (OG; Dactylis glomerata L.) forages to be used as an inexpensive and rapid field-level assessment of relative energy in forages.

Materials and Methods

In a 2-yr study, fresh forages samples from ALF and OG monoculture pastures in central Pennsylvania, USA, were collected once monthly from May to September. Samples were immediately evaluated for Brix values with a hand-held digital refractometer, and the remaining biomass was frozen immediately with liquid N to halt cellular respiration. Samples were lyophilized and analyzed for individual sugars and wet chemistry nutritive analyses.

Results and Discussion

Brix was positively correlated with total and individual sugars in ALF during late spring and late summer (0.53–0.93), but correlations were nonexistent or negative in mid-summer. However, Brix values did not correlate with any notable sugar parameters in OG beyond the first sampling date. These findings were attributed to greater fibrous fraction contamination, lower sugar concentrations found in grasses and legumes compared with horticultural crops, and changes in seasonal growth of ALF and OG.

Implications and Applications

Brix values did not consistently predict sugar concentrations in fresh ALF and OG forages. Because Brix measures dissolved solids in solution (not just sugars), Brix readings collected from crushed ALF or OG samples may be confounded by fibrous fractions found in the solution. Brix accuracy may also be dependent on seasonal temperature patterns, plant growth stage, and daily weather patterns. Other solutions should be investigated that rapidly assess sugar profiles and nutritive values of fresh forages.

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验证 Brix 预测紫花苜蓿和果园草糖浓度的方法*
本研究的目的是评估 Brix 预测新鲜紫花苜蓿(ALF;Medicago sativa L.)和果园草(OG;Dactylis glomerata L.)牧草中糖浓度的准确性,以用作牧草中相对能量的一种廉价、快速的田间评估方法。立即用手持式数字折射仪评估样品的 Brix 值,并立即用液态氮冷冻剩余的生物质以停止细胞呼吸。结果与讨论在春末和夏末,ALF 的 Brix 值与总糖和单糖呈正相关(0.53-0.93),但在仲夏则不相关或呈负相关。然而,在第一个采样日期之后,Brix 值与 OG 中任何显著的糖分参数都不相关。这些发现归因于纤维部分污染较多、禾本科和豆科植物的糖分浓度低于园艺作物,以及 ALF 和 OG 的季节性生长变化。由于 Brix 测量的是溶液中的溶解固体(而不仅仅是糖),因此从压碎的 ALF 或 OG 样品中收集的 Brix 读数可能会受到溶液中纤维成分的干扰。Brix 的准确性还可能取决于季节性温度模式、植物生长阶段和日常天气模式。应研究其他能快速评估新鲜牧草糖度和营养价值的解决方案。
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来源期刊
Applied Animal Science
Applied Animal Science AGRICULTURE, DAIRY & ANIMAL SCIENCE-
CiteScore
3.00
自引率
6.70%
发文量
68
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