| The thousand kernel weight, brown rice rate, contents of moisture, protein, fat,Vitamin B1, Vitamin B2and β-carotene of35millet samples in7varieties(Jigu-19ã€206058〠K492ã€200131〠Ji-0515〠Cang-344〠An-04-4783) from5regions(Hengshui,Zhengzhou,Baoding,Jinan and Shijiazhuang) were tested in order toinvestigate the effect of variety and regional factors on the nutrient quality of millet.The results of variance analysis and difference analysis show that: Thousand kernelweightsis affected significantly by variety factor;brown rice rate, contents of moisture,VitaminB1, VitaminB2and β-carotene are greatly affected by regional factor; Contentof protein is affected highly significantly both by variety and regional factors; Contentof fat is affected significantly both by variety and regional factor;Content of Proteinand fat increased with increasing latitude altitude. The standardized regionalexperiment on Hybrid millet-6is carried on in Qin’an (Gansu Province),Guyuan(Ningxia Province), Zhangjiakou (Hebei Province), Chifeng (Inner MongoliaProvince)and thousand kernel weights, brown rice rate, contents of moisture, crudefiber, protein, fat, ash, minerals are tested.The result of difference analysis of altitude,climate and environmental factors difference on the nutrient accumulation showthat:Long hours of sunshine, less rainfall,loess and chestnut soil area is conducive tothe accumulation of protein; highaltitude, loess area is conducive to the accumulationof fat; The most suitable region for the production of Hybrid millet-6is Chifeng andGuyuan; Iron (8.11mg/100g), magnesium (111.41mg/100g), selenium (0.10mg/100g) and zinc (2.87mg/100g) was highly affected by soil factors, chestnut soilis best, loess better, sand is worst.Using multi-factor statistical analysis, thousand kernel weights, brown rice rate,moisture, protein, fat, crude fiber, ash, carbohydrate and trace element content inmillets planted in Shijiazhuang were detected and analyzed systemically, and a modelfor hierarchical comprehensive evaluation was established through principalcomponent analysis. The results showed that significant positive correlation existsbetween minerals in the same variety and large differences between different varieties;The differences are relatively small among fat, protein, crude fiber and carbohydrate;there was no significant correlation between thousand grain weights and protein content. Principal component analysis indicated fat, protein and ash content should bepositively selected, while moisture, carbohydrate and crude fiber content should benegatively selected when establishing the evaluation model. Comprehensiveevaluation using the established model showed that11varieties of millets could beclassified into three categories, group1including varieties Chenggu13,200131,Jigu19, Heng2001, Zheng066and Bao213showed the best quality and was mostsuitable to be planted in shijiazhuang, group2consisted of variety An074117,showed the worst quality, and group3including varieties206058, An0474585,A2×Ce351and Cang372showed moderate quality. |