Canonical Correlation Analysis of Agronomic Characters of Brassica juncea in Western China

[Objective] The study aimed at exploring the relationship among the agronomic characters of B. juncea in western China, in order to provide scientific basis for the breeding of B. juncea in western China. [Method] 39 B. juncea materials from western China were used for the canonical correlation analysis, and canonical correlations between each pair of the four ecological character （containing 18 variables） were verified, including yield characters （5 variables）, caulis characters （6 variables）, branch characters （3 variables） and pod characters （3 variables）. [Result] Yield per plant of B. juncea in western China suffered a tremendous influence from effective pod number per plant while was not significantly affected by the total pod number per plant, seed number per pod and 1 000-seed weight; the most important character related with the yield character of B. juncea in western China was caulis character, followed by the branch character and pod character; yield characters, caulis characters, branch characters and pod characters of B. juncea in western China were closely correlated. [Conclusion] In order to improve the yield characters of B. juncea in western China, caulis characters should be focused on, followed by branch characters and pod characters; rapeseed varieties with high performance in total pod number per plant and effective pod number per plant should be chosen through the perspectives of effective branch number, plant height, pod number of main inflorescence, fruit stalk number of main inflorescence and other traits, while rapeseed varieties with high performance in seed number per pod and 1 000-seed weight should be chosen through the perspectives of beak length and other traits.

Multivariate Statistic Analysis of Morphology and Ecology Characters on Some Sheep Populations in China

The sheep populations were studied with Q-type Hierarchical Clustering Method, and characters of the populations were used to construct the principal component, then, the principal component values were analyzed with R-type Hierarchical Clustering Method, which might display the genetic differentiation among populations and conform to the result of the known sheep phylogenetic system in China. Characters of the populations were studied with Q-type Hierarchical Clustering Method. The elevation and average annual rainfall were found to be important characters. The ecology factor is also an important character for the breed classification.

Study on the dominant species of Pteropoda in East China Sea

Based on the data of four seasonal marine surveys in the East China Sea （23°30′-33°N, 118°30′-128°E）during 1997-2000, the author studied the ecological characters of dominant Pteropoda species in the area. Results showed that there were five dominant Pteropoda species, more in summer, less in autumn and even in other seasons. These species, though belonging warm water species, can be categorized into two different groups in habitability. The first group was acicula, Desmopterus papilio and Creseis virgule, while adapted in summer and autumn, including Creseis the second group in winter and spring, represented by Limacina trochiformis and Agadina syimpsoni. The first group was more abundant than the second one. Besides, the first group contributed more to the Pteropoda abundance having higher occurrence frequency and aggregation intensity than the second. In horizontal distribution, the first group species reside in nearshore, and they could migrate to shallow place near estuary and aggregated in high density, while the second one was different： lower abundance, less occurred and aggregated because they were halophilic warm water species, and they were usually abundant in offshore area.