Agronomy, Год журнала: 2025, Номер 15(1), С. 241 - 241
Опубликована: Янв. 19, 2025
This study investigated the application of high-resolution satellite imagery from SuperDove satellites combined with machine learning algorithms to estimate spatiotemporal variability some winter wheat parameters, including relative leaf chlorophyll content (RCC), water (RWC), and aboveground dry matter (DM). The research was carried out within an experimental field in Southern Italy during 2024 growing season. Different (ML) were trained compared using spectral band data calculated vegetation indices (VIs) as predictors. Model performance assessed R2 RMSE. ML models tested random forest (RF), support vector regressor (SVR), extreme gradient boosting (XGB). RF outperformed other prediction RCC when VIs predictors (R2 = 0.81) RWC DM bands 0.71 0.87, respectively). explainability SHAP method. A analysis highlighted that GNDVI, Cl1, NDRE most important for predicting RCC, while yellow red prediction, nir prediction. best model found each target used its seasonal trend produce a map. approach highlights potential integrating remote monitoring wheat, which can sustainable farming practices.
Язык: Английский
Процитировано
1
Chemosphere, Год журнала: 2024, Номер 364, С. 143134 - 143134
Опубликована: Авг. 22, 2024
Язык: Английский
Процитировано
5
Genes, Год журнала: 2024, Номер 15(9), С. 1150 - 1150
Опубликована: Авг. 31, 2024
Wheat (Triticum aestivum L.) is a crucial cereal crop, contributing around 20% of global caloric intake. However, challenges such as diminishing arable land, water shortages, and climate change threaten wheat production, making yield enhancement for food security. The heading date (HD) critical factor influencing wheat’s growth cycle, harvest timing, adaptability, yield. Understanding the genetic determinants HD essential developing high-yield stable varieties. This study used doubled haploid (DH) population from cross between Jinmai 47 84. QTL analysis was performed under three phosphorus (P) treatments (low, medium, normal) across six environments, using Wheat15K high-density SNP technology. identified 39 QTLs HD, distributed ten chromosomes, accounting 2.39% to 29.52% phenotypic variance. Notably, five major (Qhd.saw-3A.7, Qhd.saw-3A.8, Qhd.saw-3A.9, Qhd.saw-4A.4, Qhd.saw-4D.3) were consistently detected varying P conditions. additive effects these showed that favorable alleles significantly delayed HD. There clear trend increasing delay number increased. Among them, Qhd.saw-4D.3 novel with no prior reports QTLs/genes in their respective intervals. Candidate gene highlighted seven highly expressed genes related Ca2+ transport, hormone signaling, glycosylation, zinc finger proteins, likely involved regulation. research elucidates basis stress, providing insights breeding high-yield, varieties suited low-P environments.
Язык: Английский
Процитировано
1
Biocatalysis and Agricultural Biotechnology, Год журнала: 2024, Номер 61, С. 103365 - 103365
Опубликована: Сен. 16, 2024
Язык: Английский
Процитировано
1
Frontiers in Plant Science, Год журнала: 2024, Номер 15
Опубликована: Ноя. 29, 2024
Drought stress is a critical environmental factor affecting sugarcane yield, and the adaptability of rhizosphere bacterial community essential for drought tolerance. This review examines adaptive responses communities to water explores their significant role in enhancing Under conditions, undergoes structural functional shifts, particularly enrichment beneficial bacteria, including Streptomycetales Rhizobiales. These bacteria enhance resilience through various means, nutrient acquisition phytohormone synthesis. Furthermore, changes were closely associated with composition levels soil metabolites, which significantly influenced physiological biochemical processes during stress. study deepens our understanding interactions sugarcane, laying scientific foundation developing drought-resistant varieties, optimizing agricultural practices, opening new avenues applications.
Язык: Английский
Процитировано
0
Опубликована: Окт. 23, 2024
Процитировано
0