Effects of Nitrogen Forms on Adaptive Strategies of Moso Bamboo Seedlings under Low-Phosphorus Conditions

Advances in Bamboo Science, Год журнала: 2025, Номер 10, С. 100133 - 100133

Опубликована: Фев. 1, 2025

Язык: Английский

Integrative Approaches to Soybean Resilience, Productivity, and Utility: A Review of Genomics, Computational Modeling, and Economic Viability

Plants, Год журнала: 2025, Номер 14(5), С. 671 - 671

Опубликована: Фев. 21, 2025

Soybean is a vital crop globally and key source of food, feed, biofuel. With advancements in high-throughput technologies, soybeans have become target for genetic improvement. This comprehensive review explores advances multi-omics, artificial intelligence, economic sustainability to enhance soybean resilience productivity. Genomics revolution, including marker-assisted selection (MAS), genomic (GS), genome-wide association studies (GWAS), QTL mapping, GBS, CRISPR-Cas9, metagenomics, metabolomics boosted the growth development by creating stress-resilient varieties. The intelligence (AI) machine learning approaches are improving trait discovery associated with nutritional quality, stresses, adaptation soybeans. Additionally, AI-driven technologies like IoT-based disease detection deep revolutionizing monitoring, early identification, yield prediction, prevention, precision farming. viability environmental soybean-derived biofuels critically evaluated, focusing on trade-offs policy implications. Finally, potential impact climate change productivity explored through predictive modeling adaptive strategies. Thus, this study highlights transformative multidisciplinary advancing global utility.

Язык: Английский

Maize–peanut intercropping and N fertilization changed the potential nitrification rate by regulating the ratio of AOB to AOA in soils

Climate smart agriculture., Год журнала: 2024, Номер 1(2), С. 100023 - 100023

Опубликована: Окт. 18, 2024

Язык: Английский