近红外光谱法预测乌干达木薯种质淀粉含量

IF 1.6 4区化学 Q3 CHEMISTRY, APPLIED

Journal of Near Infrared Spectroscopy Pub Date : 2023-09-25 DOI:10.1177/09670335231194739

Babirye Fatumah Namakula, Ephraim Nuwamanya, Michael Kanaabi, Enoch Wembambazi, Robert Sezi Kawuki

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引用次数: 0

摘要

在乌干达，正在努力通过常规育种提高淀粉含量，作为增加粮食和工业采用木薯新品种的一项战略。然而，只有少数样本可以量化，限制了育种的收益。利用115个无性系的数据，对近红外光谱技术预测木薯淀粉含量的潜力进行了评价。干基淀粉含量为21.48% ~ 73.97%。标准正态变量和去趋势在两个数据点上计算二阶导数和平滑的性能加上标准乘散点校正在两个数据点上计算二阶导数和平滑的组合是最适合的数学处理。近红外光谱法预测木薯淀粉含量(r2 = 0.85, r2 = 0.55)可靠，可用于木薯育种前期淀粉含量的筛选。

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Predicting starch content of cassava with near infrared spectroscopy in Ugandan cassava germplasm

In Uganda, efforts are underway to improve starch content through conventional breeding as a strategy for increasing adoption of new cassava varieties for both food and industry. However, only few samples can be quantified, limiting the gains in breeding. A database of 115 clones was used to evaluate the potential of Near infrared spectroscopy to predict starch content in cassava. Starch content ranged from 21.48 to 73.97% dry basis. The performance of standard normal variate and de-trend with second derivative calculated on two data points and smoothing plus combination of standard multiplicative scatter correction with second derivative calculated on two data points and smoothing were the best fit mathematical treatments for the calibrations developed. Near infrared spectroscopy predictions for starch content (R 2 = 0.85, and r 2 = 0.55) developed were reliable, thus usable for screening of cassava starch content at early stages of breeding.

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来源期刊

Journal of Near Infrared Spectroscopy 物理-光谱学

CiteScore

3.30

自引率

5.60%

发文量

审稿时长

6 months

期刊介绍： JNIRS — Journal of Near Infrared Spectroscopy is a peer reviewed journal, publishing original research papers, short communications, review articles and letters concerned with near infrared spectroscopy and technology, its application, new instrumentation and the use of chemometric and data handling techniques within NIR.