The study assessed the variations in nine agro-morphological characters among and within the black glutinous rice (Oryza sativa) population from Chau Thanh District, Tra Vinh Province. The nine quantitative agromorphological characters that were measured include culm length, leaf length, leaf width, number of panicles, panicle length, grain length, grain width, number of firm grain, and number of grain per panicle. The unweighted pair group method with arithmetic mean method and principal coordinate analysis by the NTSYS program were applied in this study to classify the nine agro-morphological characters. In addition, tocompare the variations in quantitative characters between O. sativa populations, one-way analysis of variance (ANOVA) was used. The results showed significant differences between the black glutinous rice populations for all quantitative agro-morphological characters. Moreover, some agro-morphological characters showed positive correlations to each other. The dendrogram generated from the analysis process of the agromorphological data divided the O. sativa populations into two groups with unfamiliar features. However, the O. sativa populations assessed exhibited a wide range of variations in morphological characteristics, both within the same population and among other populations with the same strains.
Tra Vinh Province is an important agricultural production area of the Mekong Delta in Viet Nam, but its economic development is being heavily affected by climate change. In this study, a set of 14 quotas with the Delphi method were used to assess the climate change adaptability of 24 livelihood models (horticulture, animal husbandry, and aquaculture models) in Tra Vinh Province to find livelihood models with the greatest adaptability. The adaptability was calculated using relevant parameters including weighted scores, raw data points, and mean points of each model. Calculations show that two models have great adaptability (CN01 and TS14), twenty models have relatively pretty good adaptability (CN01, CN03, TS02, TS03, TS05, TS06, TS07,TS08, TS09, TS10, TS11, TS12, TS13, TS14, TS15, TS16, TT01, TT02, TT03, TT04 and TT05), two models have average adaptability (TS04 and TS01), and no models have low adaptability. These two successful models can be applied to farmers in Tra Vinh Province but attention needs to be paid to economic issues such as capital or market. These twenty good adaptive and two average adaptability models should be improved for future applications.
Preparing soft skills for students has been being a matter of great concern to both society and the education industry. Soft skills are an essential factor for the success and happiness of each individual. Many decades ago, the weakness of soft skills of Vietnamese students have been warned by educational organizations, businesses and domestic and foreign experts. Although knowledge that is considered as a necessary condition during the learning process; it is still not a sufficient condition for students who want to get a desired job. Nowadays, softskills training activities are quite popular in almost universities and it is one of requirements for student’s graduation. However, these training activities are different in each university. In this study, from the practical experience in training soft skills of other universities, the authors recommend some basic solutions for integrating soft skills into main subjects in the specialized knowledge teaching process.
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