Breeding and Characterization of Yunchachunhao, a New Tea Variety with Full Aroma and High Quality

[Objective] The aim of this study was to select a tea variety with full aro- ma and high quality. [Method] The quality of Yunchachunhao was identified using Yunkang 10 and Fudingdabaicha as the controls in variety comparison test, using Yunkang 10 and Dangdidayezhong as the controls in reginal test. [Result] In variety comparison test, the yield of Yunchachunhao was 39.3% more than that of Yunkang 10, and 29.6% more than that of Fudingdabaicha. In reginal test, the yield of Yun- chachunhao was 2.5% （Baoshan） and 10.2% （Lancang） more than that of Yunkang 10. The roast-dried green tea of Yunchachunhao was characterized by flowery fla- vor, good taste and bright green infused leaves. It got the total scores of 91.13 in quality identification, which was higher than that of Fudingdabaicha （90.75） and Yunkang 10 （88.85）. The steam fixed green tea of Yunchachunhao contained 28.0% polyphenols and 2.7% amino acids; and the ratio of polyphenols to amino acids was 10.4, lower than that of Fudingdabaicha （10.6） and Yunkang 10 （17.3）. Yun- chachunhao had better resistance to drought and blister blight than Yunkang 10. [Conclusion] The survival rates of cuttings and transplanted seedlings of Yun- chachunhao are higher than that of control varieties, suggesting it has better adapt- ability and can be promoted in the large-leaf tea planting area of Yunnan Province.

Breeding of a New Breakthrough Tea Tree Variety Tianfu No.1

Tianfu No.1 is bred from a plant in the population of Sichuan through system selection,which is characterized with early and uniform germination,hypertrophic shoots,full cover with pekoes and long picking period of single shoots.Compared with those of Fuding white tea(CK),the fresh leaf yield,tea polyphenols content,free amino acids content,caffeine content and soluble sugar content of Tianfu No.1 were increased by 8.89%,6.98%,10.00%,2.96%and31.58%,respectively.Tianfu No.1 is a new rare breakthrough tea variety with high development potential,good intrinsic biochemical quality,and strong adaptability for processing multi-typed tea products such as green tea,white tea,black tea and dark tea,etc.It has strong stress resistance and can still grow better in low-humidity areas.In addition,it is not easy to flower and fruit.

Analysis of Mineral Elements in 13 Famous Tea Varieties in Sichuan Province

This study was to analyze the mineral elements in famous tea varieties in Sichuan Province. Eighteen mineral elements in the samples of 13 famous tea varieties in Sichuan Province were measured via related instruments. The results showed, of all the 18 measured samples, that the contents of K, P, S, Ca and Mg were relatively higher（ 〉1 500 mg/kg） in famous tea varieties in Sichuan Province, while those of Ba, Cr, V, Co and Se were relatively lower（ 〈 10 mg/kg） ; compared to common green tea, the famous tea varieties in Sichuan Province contained higher contents of K, Zn, P, Na, Ni, Cu, S, Se and Co（0.38% -115.65% higher than that in common green tea）, and lower contents of Mg, Mn, AI, Ca, V, Rb, Fe and Cr（7.20% -46.67% lower than that in common green tea）; of the 13 tested tea varieties, Hongyanyingchun, Yongchuanxiuya and Qingchengxueya were rich in mineral elements, while Yuchengyunwu and Yuqiancha lacked in mineral elements. The re- suits show that Hongyanyingchun, Yongchuanxiuya and Qingchengxueya are the elites in the famous tea varieties in Sichuan Province.

Analysis of Differences in Biochemical Components Between Yunnan and Kenya Tea Tree Varieties

With 16 Yunnan tea tree varieties and 5 Kenya tea tree varieties as test materials,the differences in biochemical components between Yunnan and Kenya tea tree varieties were compared and analyzed.The results showed that the coefficients of variation of tea polyphenols,amino acids,caffeine,water extract,gallic acid(GA),catechin(C),epicatechin(EC),epicatechin gallate(ECG),epigallocatechin(EGC),epigallocatechin gallate(EGCG)and total catechins in Yunnan tea tree varieties were greater than those in Kenyan tea trees.The contents of tea polyphenols,amino acids,caffeine,water extract,C,EC,EGC,EGCG and total catechins in Yunnan tea tree varieties had no significant differences from those in Kenyan tea trees varieties(P>0.05),while there were significant differences in the contents of GA and ECG between Yunnan tea tree varieties and Kenya tea tree varieties(P<0.05).Therefore,it could be predicted that GA and ECG might be one of the main characteristics of the differences in biochemical components between Yunnan tea tree varieties and Kenyan tea tree varieties.The cluster analysis results showed that when the genetic distance was 15,the 21 tested tea varieties could be divided into three groups with obvious biochemical differences.

Automatic determination of optimal spectral peaks for classification of Chinese tea varieties using laser-induced breakdown spectroscopy

The accurate identification of tea varieties is of great significance to ensure the interests of tea producers and consumers.As a non-destructive or micro damage detection method,laser-induced breakdown spectroscopy(LIBS)has been widely used in the quality detection or classification of agricultural products and food.The objective of this research was to automatically select optimal spectral peaks from the full LIBS spectra,and develop effective classification model for identifying tea varieties.The LIBS spectra covering the region 200-500 nm were measured for 600 Chinese tea leaves including six varieties(i.e.Longjing green tea,Jinhao black tea,Tie Guanyin,Huang Jinya,White peony tea,and Anhua dark tea).A total of 50 optimal spectral peaks were automatically selected from full LIBS spectra(6102)by using the uninformative variable elimination(UVE)and partial least squares projection analysis,and the selected spectral peaks mainly represent the elemental difference in C,Fe,Mg,Mn,Al and Ca.Partial Least Squares Discriminant Analysis(PLS-DA)was used for developing classification model using selected optimal spectral peaks,and yielded the 99.77%classification accuracy for 300 test samples was reached.The results indicate that the proposed method can be used to identify leaf varieties in various tea products.