A new strategy for selection of crop cultivated varieties based on yield factors driving and meteorological prediction
Zhu, R.; Sun, K.; Yan, X.; Xin, D.; Jiang, H.; Zhang, Z.; Li, Y.; Hu, Z.; Qi, Z.; Liu, C.; Chen, Q.
Show abstract
Meteorological conditions, as an uncontrollable factor, have a direct impact on the growth and yield of crops in the field. Its particularly important to choose the cultivated varieties suitable for environmental change. As for this problem, a new strategy for selection of crop cultivated varieties is proposed in this paper. The experiment selected Harbin pilot (Heilongjiang, China) and Changchun pilot (Jilin, China). In the experiment, the cultivated varieties suitable for forecasting meteorological conditions in 2015 could be provided according to the meteorological data of 2005-2014 years and the yield data of different soybean varieties in Harbin pilot. The same method was also taken in Changchun pilot. The results showed that the recommended varieties of Harbin pilot and Changchun pilot had 70% and 50% probability respectively for selection of soybean cultivated varieties when the yield evaluation trait was 100-seed-weight. As for seed weight per plant, the possibility of more than 60% of the recommended varieties in two pilots is to provide prejudgment. Therefore, this method can help to improve the current situation of the impact of uncontrollable meteorological conditions on crop yield and also can be applied to the selection of any other crops cultivated varieties under a certain environment.
Matching journals
The top 3 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Evaluation method of ecosystem service value under complex ecological environment: A case study of Gansu Province, China 97%
- Prediction of Direct Carbon Emissions of Chinese Provincial Residents under Artificial Neural Networks in Deep Learning Environment 96%
- Spatio-temporal evolution of urban thermal environment and its driving factors: Case study of Nanjing, China 96%
Similar papers in this journal
- Gene regulatory network analysis identifies key genes and regulatory mechanisms involved in acute myocardial infarction using bulk and single cell RNA-seq data 93%
- Predicting the cumulative number of cases for the COVID-19 epidemic in China from early data 92%
- The within-host viral kinetics of SARS-CoV-2 92%
Similar papers in this journal
- Comparative analysis of machine learning and evolutionary optimization algorithms for precision tissue culture of Cannabis sativa: Prediction and validation of in vitro shoot growth and development based on the optimization of light and carbohydrate sources 95%
- An integrative process-based model for biomass and yield estimation of hardneck garlic (Allium sativum) 93%
- AI-assisted selection of mating pairs through simulation-based optimized progeny allocation strategies in plant breeding 93%
Similar papers in this journal
- Application of Pedimap -- a pedigree visualization tool -- to facilitate the decisioning of rice breeding in Sri Lanka 94%
- YieldNet: A Convolutional Neural Network for Simultaneous Corn and Soybean Yield Prediction Based on Remote Sensing Data 94%
- Sustainable Edamame Production in an Artificial Light Plant Factory with Improved Yield and Quality 93%
Similar papers in this journal
- Differential gene expression analysis and physiological response characteristics of passion fruit (Passiflora edulis) buds under high-temperature stress 95%
- The mineralization characteristics of organic carbon and particle composition analysis in reconstructed soil with different proportions of soft rock and sand 94%
- SC-JNMF: Single-cell clustering integrating multiple quantification methods based on joint non-negative matrix factorization 92%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.