Developing an NIRS Prediction Model for Oil, Protein, Amino Acids and Fatty Acids in Amaranth and Buckwheat
نویسندگان
چکیده
Amaranth and buckwheat are two pseudo-cereals preferred for their high nutritional value, gluten free carry religious importance as fasting food. Germplasm resources the reservoir of diversity different traits, including characteristics. These must be evaluated to utilize potential in crop improvement programs. However, conventional methods labor-, cost- time-intensive prone handling errors when applied large samples. NIRS-based machine learning predict traits is food crops multiple traits. NIRS prediction models developed this study using mPLS regression technique oil, protein, fatty acids essential amino acid estimation amaranth buckwheat. Good RSQ external (power determination) values were obtained above ranging from 0.72 0.929. Ratio performance deviation (RPD) value most ranged between 2 3, except valine (1.88) methionine (3.55), indicating good capabilities model. utilized screening germplasm buckwheat; results agreement confirmed applicability models. It will enable identification a trait-specific gene source aid
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ژورنال
عنوان ژورنال: Agriculture
سال: 2023
ISSN: ['2077-0472']
DOI: https://doi.org/10.3390/agriculture13020469