| Peanuts are an important oil seed and economic crop grown worldwide,with high nutritional value and economic value.Improving the quality of peanuts and their products and prolonging their shelf life have become important topics in peanut industry technology development program.Reducing the content of erucic acid,peroxides and other substances that are unhealthy is of great significance to peanut.Considering that peanut oil is the main edible oil consumed by Chinese residents,the peroxide value and acid value of peanut oil are of relevance to people's health.Therefore,in this study,a NIRS model for predicting peanut oil peroxidation value and acid value was also developed.Simultaneously,a near-infrared machine was used to scan the sun-dried peanut seeds,and the erucic acid content of peanut seeds was determined by chemical method.A near-infrared spectroscopy(NIRS)model was then established to predict the content of erucic acid in peanut seeds.The FAE1 genes from two sub-genomes of the cultivated peanut were successful cloned and sequenced.The main results of this study are as follows:(1)Construction of near infrared analysis model for peroxidation value and acid value of peanut oil.32 near-infrared spectra of peanut oil samples were collected,and peroxide values and acid values measured according to standard methods.After optimization,the optimal spectral pretreatment method for peroxide value was first derivative plus vector normalization.For peroxide value,the spectrum range,dimension,R2 and RMSECV were 7506 to 6094.3 cm-1,6,91.93 and 1.23,respectively.The optimal spectrum pretreatment method for acid value was vector normalization.For acid value,the spectrum range was from 7506 to 6094.3 cm-1,the dimension was 7,the model R2 was 93.88,and the RMSECV was 0.074.The NIRS models may be used in the rapid determination of peanut oil peroxide value and acid value for ensuring edible oil safety,laying foundation for extending the shelf life of peanut oil through evaluation of the effects of different measures.(2)Construction of near-infrared analysis model for erucic acid content in sun-dried peanut seeds.Spectral data of 67 sun-dried bulk peanut seed samples were collected and their erucic acid content determined by chromatography.Cross-validation was used in the construction of a near-infrared quantitative analysis model for erucic acid content in bulk sun-dried peanut seed samples.After optimization,the best spectral pretreatment method is“elimination of constant offset method”.The erucic acid content range was 11980.2 to 4242.8 cm-1,the dimension was 10,and the determination coefficient(R2)is 80.08.The root mean square error(RMSECV)was 0.0238.The model constructed provides a rapid selection tool for the genetic improvement of peanut fatty acids,and may be used in the quality control of peanuts for crushing.(3)Cloning and sequence analysis of FAE1 genes from the cultivated peanut.Based on the information of FAE1 coding region sequences of the diploid wild species A.duranensis and A.ipaensis,gene-specific primers were designed,FAE1-A and FAE1-B of the cultivated peanut were cloned and sequenced.FAE1 had only one open reading frame and no intron.The complete coding region was 1536 bp long and encoded 511 amino acids.FAE1 homologous sequence search,amino acid sequence analysis,protein function prediction,and phylogenetic analysis were performed using related software or online tools.This output of this study may facilitate molecular breeding of low erucic peanuts. |
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