Using near infrared reflectance spectroscopy for estimating nutritional quality of Brachiaria humidicola in breeding selections
Using near infrared reflectance spectroscopy for estimating nutritional quality of Brachiaria humidicola in breeding selections
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在育种选择中利用近红外反射光谱评估湿臂形草的营养品质
DOI：
10.1002/agg2.20070
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发表时间：
2020
期刊：
影响因子：
--
通讯作者：
Mazabel J
中科院分区：
文献类型：
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作者：
Mazabel J
湿润Brachiaria humidicola（BH）是热带地区重要的牧草，因为它具有在营养缺乏的土壤中生长、耐涝和抑制土壤硝化的能力。黑鲈养殖的一个主要目标是提高其营养品质。因此，需要一种快速、低成本的方法来评估中性洗涤纤维（NDF）、酸性洗涤纤维（ADF）、体外干物质消化率（IVDMD）和粗蛋白质（CP）等主要质量参数。本研究利用近红外反射光谱（NIRS）建立模型来预测这些参数在育种中的浓度。从哥伦比亚不同地区的BH试验中收集样品，扫描近红外光谱（400-2,500 nm），以湿化学作为参考值进行分析，并用于建立化学计量模型。湿化学结果显示，NDF（51.6-76.2%）、ADF（26.1-46.1%）、IVDMD（41.5-78.3%）和CP（2.8-12.8%）在干物质百分比方面存在很大差异。NIRS模型使用一组独立的样本进行验证，其决定系数（R2）和1 -方差比（1 - VR）值在的范围内。9和。95，这表明参考实验室和NIRS预测值之间存在良好的相关性。IVDM、NDF、ADF和CP的交叉验证标准误差（SECV）分别为1.59、1.18、0.74和0.53%。除CP（2.6）外，其余参数的预测效率（性能与标准差比，RPD）均在3.0以上。所获得的校准具有充分的调整和预测倾向，使其适合于选择和BH育种。
Brachiaria humidicola(BH) (syn.Urochloa humidicola) is an important forage grass in the tropics due to its capacity to grow in nutrient‐deficient soils, tolerate waterlogging, and inhibit soil nitrification. A major objective of BH breeding is to improve its nutritional quality. Therefore, a rapid and low‐cost method is needed to assess main quality parameters such as neutral detergent fiber (NDF), acid detergent fiber (ADF), in vitro dry matter digestibility (IVDMD), and crude protein (CP). This study developed models using near infrared reflectance spectroscopy (NIRS) to predict concentrations of these parameters toward breeding. Samples were collected from BH trials located in different regions of Colombia, scanned for NIRS (400–2,500 nm), analyzed with wet chemistry as reference values, and used to build the chemometric models. Results from wet chemistry showed wide variability in terms of dry matter percentage for NDF (51.6–76.2%), ADF (26.1–46.1%), IVDMD (41.5–78.3%), and CP (2.8–12.8%). The NIRS models were validated using an independent set of samples and have coefficients of determination (R2) and one minus the variance ratio (1 – VR) values in the range of .9 and .95, suggesting a good correlation between reference‐lab and NIRS‐predicted values. The standard errors of cross validation (SECV) for IVDM, NDF, ADF, and CP were 1.59, 1.18, 0.74, and 0.53%, respectively. Prediction efficiency (ratio of performance to standard deviation, RPD) for all parameters was above 3.0, except for CP (2.6). Calibrations obtained present an adequate adjustment and predictive tendency, making them suitable for selection and BH breeding.