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Energy Internet is crucial for promoting energy transition and revolution, and it has achieved multi-dimensional development in terms of technology, system, and industry. The development of energy Internet involves a wide range of aspects including technology, policy, and business; however, there are relatively few theoretical discussions on the complex coordination relationships within the energy Internet industry. This study identifies the implications of energy Internet from the technology, system, and industry aspects, proposes a technology–mechanism–mode analysis model and a simplified “hanging bell” model for the energy Internet industry, and summarizes the development patterns of China's energy Internet industry as pattern exploration, policy guidance, technology research and development, pattern maturity, policy deficiency, and technology advantage types; practice cases are also summarized. On this basis, the feasible paths for the development of China’s energy Internet industry are analyzed using the “hanging bell” model, focusing on the development cases of the renewable energy, electric vehicle, and hydrogen industries, and specific development paths such as technology enhancement, mechanism enhancement, and mode enhancement are suggested. This study is expected to help understand the development logic of the energy Internet industry and provide references for further exploring the applications and promoting the development scale of the energy Internet.

In this study, seedling populations of Camellia chekiangoleosa were analyzed to investigate their phenotypic variation, screen for superior individuals, and strengthen the conservation of genetic resources for breeding utilization. Variation, correlation, regression, and path analyses were performed on important economic traits. Principal component analysis as well as the subordinate function value and multidimensional coordinate synthetic evaluation methods were used to select the superior individuals. The results showed high phenotypic variation among the individual plants, with the coefficient of variation of 25 traits being 5.74%-57.16% and the diversity index being 1.934 6-2.095 9. The regression analysis revealed that the number of fruits, fresh seed weight per fruit, dry kernel weight per fruit, and kernel oil content were the key phenotypic traits affecting oil yield per plant. The path analysis identified the dry kernel weight per fruit as the main decision variable and the number of fruits as the main limiting variable. With principal component analysis, the 25 traits were transformed into 6 main principle components with a cumulative contribution rate of 86.557%. Nine superior individuals were screened out by using the above three methods. In conclusion, the high phenotypic variation among seedling populations of C. chekiangoleosa provides a material basis for the breeding of new high-yielding and high-quality varieties. [ABSTRACT FROM AUTHOR]

Copyright of Carsologica Sinica is the property of Institute of Karst Geology, CAGS and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Mactra veneriformis is a common economic benthic shellfish with high nutritional value and is widely distributed in the Shandong and Liaoning provinces. Geligang is located in the northern part of Liaodong Bay. It is formed by the water impact of Shuangtaizi and Liaohe River. It has an area of approximately 10 000 hm2 with a fertile substrate. It is an important habitat of beach shellfish, such as M. veneriformis. Studies on the influencing factors of wild population quality traits and their correlation with morphological traits are helpful for developing genetic breeding of marine shellfish. To analyze the effects of morphological traits on quality traits of M. veneriformis at different ages in Geligang, the shell length (SL), shell width (SW), shell height (SH), body weight (BW), and soft tissue wet weight (RW) of 1–3 years old M. veneriformis were analyzed using correlation analysis, path analysis, and multiple regression analysis. The M. veneriformis used in the experiment was obtained from the Geliang in Liaodong Bay in September 2022. A total of 80 1-year-old, 104 2-year-old, and 168 3-year-old M. veneriformis were obtained. The results showed that the morphological traits of M. veneriformis at different growth stages had different contributions to quality traits, and there were significant differences (P < 0.01). SW had the greatest direct effect on the BW of 1–3 year-old M. veneriformis, but had different effects on the RW; SW had the greatest direct effect on 1-year-old M. veneriformis; and SL had the greatest effect on 2- and 3-year-old M. veneriformis. The direct path coefficient of SH to the BW and RW of 2-year-old M. veneriformis did not reach significant level (P > 0.05) and was eliminated. The optimal regression equation of quantitative traits to qualitative traits of 1–3 year-old M. veneriformis was established. The results showed that when BW was the target trait, SW was the main selection trait and SL was the auxiliary selection trait for 1–3 year-old M. veneriformis. When RW was the target trait, SW should be the main selection trait for 1-year-old M. veneriformis, supplemented by SL. The SL should be the main selection trait for both 2- and 3-year-old M. veneriformis, but the SW was the auxiliary selection trait for 2-year-old M. veneriformis, while the SH was for 3-year-old M. veneriformis. In this study, correlation analysis, path analysis, and multiple regression analysis were performed on the morphological traits and quality traits of 1–3 years old M. veneriformis to determine the key morphological traits affecting the quality traits of M. veneriformis at different ages. In this study, the R2 values of the morphological traits of 1- and 2-year-old M. veneriformis (0.898 and 0.859, respectively) were greater than 0.850, indicating that the main factors affecting the body weight of living M. veneriformis were found. However, the R2 value of the morphological traits of 3-year-old M. veneriformis (0.815) was below 0.850, indicating that there may be other influencing traits in addition to the traits analyzed in this study. The reason may be that with the growth of M. veneriformis, the thickness of the shell and the effect on the weight of the living body gradually increase. In this study, the R2 values of morphological traits of 1–3 years old M. veneriformis (0.738, 0.648, and 0.538, respectively) on the wet weight of soft tissue were all below 0.850, indicating that there were other key factors affecting the wet weight of soft tissue. The age of sexual maturity of the M. veneriformis is at 1 year. The development of the gonad in the soft part may be closely related to the size of the wet weight of the soft tissue. The sampling period is mainly in the proliferation to depletion period of the gonad development of M. veneriformis. The gonad development is simultaneously affected by the environment. These results can provide reference for breeding M. veneriformis and the selection of parent shellfish.

Planting density is one of the most important factors to improve repeseed yield, generally 30x104-45x 104 plants/hm² is recommended in national variety trials and farmer planting in China. However, poor weather and soil conditions will affect the emergence of rape seedlings. For a long time, rape farmers have formed the sowing habit of greatly increasing the sowing amount, for example, the sowing amount of farmers in Hubei, Hunan and Jiangxi reaches 7.5kg/hm². High seeding rate can produce more than 180x104 plants/hm². In period of emergence, if current rapeseed varieties can adapt to high seeding rate is unclear. In this study, 54 rapeseed varieties planted with 7.5 kg/hm² seeding rate which simulated farmer's seeding habit. The results showed that a large range genetic variation existed in no-effective plant density, plant pods, effective plant density and yield. Under high seeding rate, plant height, number of seeds per silique, plant weight and effective plant density were significantly correlated with yield. Compared to the low-yield type varieties, high-yield type varieties increased 67.6% in yield. Multivariate correlation analysis showed that effective plant density, seed number per silique and plant dry weight had a significant relationship with yield, effective plant density had the largest path coefficient on yield (0.6849), followed by plant dry weight, plant height, seed number per silique and seed weight. Different varieties could form different effective plant density, 70x104-120x104 plants/ hm² effective plant density ranges would produce higher seed yield. In order to adapt to the high seeding rate, we should select suitable varieties with higher seeding rate field trial. For genetic improving and variety breeding, we should focus on the same traits such as strong forming ability of effective plant density, seed and pod number, which related to early vigor, plant dry weight, seed number per silique, seed weight. [ABSTRACT FROM AUTHOR]

Copyright of Chinese Journal of Oil Crop Sciences is the property of Oil Crops Research Institute of Chinese Academy of Agricultural Sciences and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)