Hidden hunger, characterized by micronutrient deficiencies despite adequate caloric intake, affects over 2 billion people globally, primarily due to deficits in iron, vitamin A, and iodine. This phenomenon underscores a critical paradox in global food security: the Green Revolution, which significantly increased crop production through high‐yielding varieties (HYVs) of staple crops, has simultaneously contributed to widespread nutritional deficiencies. This article examines the dual legacy of the Green Revolution, exploring how its emphasis on yield over nutritional quality has led to decreased concentrations of essential micronutrients in staple crops, exacerbating hidden hunger. The extensive use of synthetic fertilizers, while boosting crop yields, has resulted in environmental degradation and economic burdens for smallholder farmers. Additionally, the shift towards dietary monoculture has reduced agricultural biodiversity and increased the prevalence of diet‐related non‐communicable diseases. Through diverse case studies from India, Zambia, Guatemala, the Philippines, Brazil, Mexico, and Ethiopia, this article illustrates various strategies to combat hidden hunger, including biofortification, multisectoral approaches, and sustainable agricultural practices. This article highlights the necessity for a multifaceted approach that integrates improved agricultural practices, dietary diversity, and supportive policies to enhance food security and public health. By addressing both caloric and nutritional needs, this comprehensive strategy aims to build resilient food systems that ensure a sustainable agricultural future.

Salinity is one of the outstanding abiotic stress conditions that a significant part of the world faces. In recent years, beneficial microorganisms started to be utilized in plants to overcome several abiotic factors, including salinity. The effects of arbuscular mycorrhizal fungi (AMF) mixture on growth and enzymatic responses in basil under salt stress were investigated using saline doses of 0 mM (Control), 150 mM, and 300 mM. Results showed that AMF enhanced all growth parameters, but only the leaf number was statistically significant. However, antioxidant enzymes, such as ascorbate peroxidase (APX) by 25%, catalase (CAT) by 25%, and superoxide dismutase (SOD) by 5%, significantly enhanced. At the same time, the accumulation of oxidative enzymes, like hydrogen peroxide (H₂O₂) and malondialdehyde (MDA), was reduced, from 12.05 μmol g⁻¹ fw (control) to 11.17 μmol g⁻¹ fw (AMF) and from 14.29 μmol g⁻¹ fw to 10.74 μmol g⁻¹ fw, respectively. AMF also significantly alleviated the chlorophyll loss caused by increasing saline doses. Multivariate analyses revealed the co-occurrence of stress metabolism enzymes as well as the proximate effect of AMF inoculation on basil yield and enzymatic activity. As a result, AMF was considered an appropriate tool for increasing growth and reducing salt stress under both stress-free and saline conditions.

Laurel is a medicinally important plant and is known to the world for its essential oil. Turkey is the main market in the laurel leaf trade by sharing about 90% of the world trade. Here we made an effort to elucidate genetic diversity and population structure of 94 Turkish laurel genotypes collected from 26 provinces and four geographical regions using inter-primer binding site (iPBS) retrotransposon markers. A total of 13 most polymorphic primers were selected which yielded 195 total bands, of which 84.10% were found polymorphic. Mean polymorphism information content (PIC) was (0.361) and diversity indices including mean effective number of alleles (1.36), mean Shannon’s information index (0.35) and overall gene diversity (0.22) revealed the existence of sufficient amount of genetic diversity in the studied plant material. Most diversity was found in genotypes collected from the Mediterranean region. Analysis of molecular variance (AMOVA) revealed that most of the variation (85%) in Turkish laurel germplasm is due to differences within populations. Model-based structure, principal coordinate analysis (PCoA) and neighbor-joining algorithms were found in agreement and clustered the studied germplasm according to their collection provinces and regions. This is a very first study exploring the genetic diversity and population structure of laurel germplasm using iPBS-retrotransposon marker system. We believe that information provided in this work will be helpful for the scientific community to take more interest in this forgotten but the medicinally important plant.

Genetic information obtained from ancestral species of wheat and other registered wheat has brought about critical research, especially in wheat breeding, and shown great potential for the development of advanced breeding techniques. The purpose of this study was to determine correlations between some morphological traits of various wheat (Triticum spp.) species and to demonstrate the application of MARS and CHAID algorithms to wheat-derived data sets. Relationships among several morphological traits of wheat were investigated using a total of 26 different wheat genotypes. MARS and CHAID data mining methods were compared for grain yield prediction from different traits using cross-validation. In addition, an optimal CHAID tree structure with minimum RMSE was obtained and cross-validated with nine terminal nodes. Based on the smallest RMSE of the cross-validation, the eight-element MARS model was found to be the best model for grain yield prediction. The MARS algorithm proved superior to CHAID in grain yield prediction and accounted for 95.7% of the variation in grain yield among wheats. CHAID and MARS analyses on wheat grain yield were performed for the first time in this research. In this context, we showed how MARS and CHAID algorithms can help wheat breeders describe complex interaction effects more precisely. With the data mining methodology demonstrated in this study, breeders can predict which wheat traits are beneficial for increasing grain yield. The adaption of MARS and CHAID algorithms should benefit breeding research.