Development of an Efficient Grading Model for Maize Seedlings Based on Indicator Extraction in High-Latitude Cold Regions of Northeast China
文献类型： 外文期刊
作者： Yu, Song 1 ; Lu, Yuxin 1 ; Zhang, Yutao 1 ; Liu, Xinran 1 ; Zhang, Yifei 1 ; Li, Mukai 1 ; Du, Haotian 1 ; Su, Shan 1 ; Liu, Jiawang 1 ; Yu, Shiqiang 1 ; Yang, Jiao 2 ; Lv, Yanjie 3 ; Guan, Haiou 2 ; Zhang, Chunyu 1 ;
作者机构： 1.Heilongjiang Bayi Agr Univ, Coll Agr, Daqing 163319, Peoples R China
2.Heilongjiang Bayi Agr Univ, Coll Informat & Elect Engn, Daqing 163319, Peoples R China
3.Jilin Acad Agr Sci, Inst Agr Resources & Environm, Changchun 130033, Peoples R China
4.Minist Agr & Rural Affairs, Key Lab Low Carbon Green Agr Northeastern China, Daqing 163319, Peoples R China
关键词： maize; low temperature stress; seedling quality; phenotypic evaluation indicators; efficient extraction; deep learning
期刊名称：AGRONOMY-BASEL （ 影响因子：3.4； 五年影响因子：3.8 ）
ISSN：
年卷期： 2025 年 15 卷 2 期
页码：
收录情况： SCI
摘要： Maize, the world's most widely cultivated food crop, is critical in global food security. Low temperatures significantly hinder maize seedling growth, development, and yield formation. Efficient and accurate assessment of maize seedling quality under cold stress is essential for selecting cold-tolerant varieties and guiding field management strategies. However, existing evaluation methods lack a multimodal approach, resulting in inefficiencies and inaccuracies. This study combines phenotypic extraction technologies with a convolutional neural network-long short-term memory (CNN-LSTM) deep learning model to develop an advanced grading system for maize seedling quality. Initially, 27 quality indices were measured from 3623 samples. The RAGA-PPC model identified seven critical indices: plant height (x1), stem diameter (x2), width of the third spreading leaf (x11), total leaf area (x12), root volume (x17), shoot fresh weight (x22), and root fresh weight (x23). The CNN-LSTM model, leveraging CNNs for feature extraction and LSTM for temporal dependencies, achieved a grading accuracy of 97.57%, surpassing traditional CNN and LSTM models by 1.28% and 1.44%, respectively. This system identifies phenotypic markers for assessing maize seedling quality, aids in selecting cold-tolerant varieties, and offers data-driven support for optimising maize production. It provides a robust framework for evaluating seedling quality under low-temperature stress.
- 相关文献
作者其他论文 更多>>
-
Leveraging cover crop functional traits and nitrogen synchronization for yield-optimized waxy corn production systems
作者：Sun, Mengjing;Zhang, Long;Zhou, Jiangkuo;Liu, Ziping;Peng, Cong;Jia, Zechen;Lv, Yanjie;Wang, Yongjun;Sun, Mengjing;Zhang, Long;Zhou, Jiangkuo;Liu, Ziping;Peng, Cong;Jia, Zechen;Lv, Yanjie;Wang, Yongjun;Sun, Mengjing;Zhang, Long;Zhou, Jiangkuo;Liu, Ziping;Peng, Cong;Jia, Zechen;Lv, Yanjie;Wang, Yongjun
关键词：waxy corn; cover crop; yield; nitrogen use efficiency; path analysis
-
Integrating physiological, metabolome and transcriptome revealed the response of maize seeds to combined cold and high soil moisture stresses
作者：Meng, Xiangzeng;Wang, Lichun;Wang, Yongjun;Meng, Xiangzeng;Cao, Yujun;Lv, Yanjie;Wang, Lichun;Wang, Yongjun
关键词：
-
The effects of a combination of maize/peanut intercropping and residue return on soil microbial nutrient limitation in maize fields
作者：Yao, Fanyun;Cao, Yujun;Liang, Jie;Liu, Xiaodan;Liu, Zhiming;Lv, Yanjie;Wei, Wenwen;Xu, Wenhua;Wang, Yongjun;Qi, Wei;Wang, Yongjun;Yu, Yang;Li, Xiang;Feng, Jian
关键词：Soil nutrients; Microbial biomass; Extracellular enzymes; C:N:P stoichiometry; Nutrient limitation
-
Thriving in adversity: Understanding how maize seeds respond to the challenge of combined cold and high humidity stress
作者：Meng, Xiangzeng;Chen, Denglong;Wang, Yongjun;Wang, Lichun;Meng, Xiangzeng;Chen, Denglong;Lv, Yanjie;Xu, Wenhua;Wang, Yongjun;Wang, Lichun
关键词：Seed germination; Abiotic stress; Antioxidant enzyme; Metabolomic; Glycolysis
-
Elimination of Intraspecific Competition Does Not Improve Maize Leaf Physiological and Biochemical Responses to Topsoil Degradation
作者：Zhang, Shan;Jia, Zechen;Lv, Yanjie;Wang, Yongjun;Zhang, Shan;Guo, Zhongxiao;Lv, Yanjie;Wang, Yongjun;Zhang, Xiaolong;Liu, Kaichang
关键词：topsoil depth; maize planting density; intraspecific competition; nitrogen metabolism enzymes; photosynthesis enzymes; yield variability
-
Increased topsoil depth required to support increased grain yield production in high density maize
作者：Zhang, Xiaolong;Kong, Yuanyuan;Shao, Xiwen;Geng, Yanqiu;Wang, Lichun;Wang, Yongjun;Zhang, Xiaolong;Kong, Yuanyuan;Lv, Yanjie;Yao, Fanyun;Cao, Yujun;Wang, Lichun;Wang, Yongjun
关键词：Grain yield; Harvest index; Root characteristics; Leaf area index; Net photosynthetic rate
-
Replacement of P1 of soybean mosaic virus with P1 of clover yellow vein virus has no impact on virus viability and host specificity
作者：Kwon, Joon;Hu, Rongbin;Penicks, Amanda K.;Hajimorad, M. R.;Zhang, Chunyu;Wang, Yongzhi;Lohry, David;Fernandez, Elias J.;Domier, Leslie L.;Kwon, Joon;Hu, Rongbin
关键词：Potyviruses; Recombinant; Host adaptation; RNA viruses; Plant viruses
