Strawberry (Fragaria × ananassa Duch.) is a widely cultivated and economically important fruit crop with increasing consumer demand worldwide. Nowadays, in Uzbekistan, strawberry cultivation surpasses that of many other fruits and vegetables in terms of production volume. However, most genetic studies have focused on a limited set of cultivars, leaving a substantial portion of varietal diversity unexplored. This study aimed to evaluate the genetic variability and heritability among selected strawberry cultivars, as well as correlations between certain valuable agronomic traits, using molecular and statistical approaches. Polymorphism analysis was performed, using 67 gene-specific SSR markers, through PCR, and allele variations were observed in 46.3% of the markers analyzed. Among them, 31 markers displayed polymorphic bands, identifying fifty alleles, with one to four alleles per marker. Phylogenetic analysis was performed using MEGA 11 software, while statistical evaluations included AMOVA (GenAIEx), correlation (OriginPro), and descriptive statistics based on standard agronomic methods. Additionally, the degree of cross-compatibility and pollen viability among the cultivars were studied, and their significance for cultivar hybridization was analyzed. The highest fruit weight was observed in the Cinderella cultivar (26.2 g), and a moderate negative correlation (r = −0.688) was found between fruit number and fruit weight. These findings demonstrate the potential of molecular tools for assessing genetic diversity and provide valuable insights for breeding programs aimed at developing improved strawberry cultivars with desirable agronomic traits.

Cotton is a globally important crop, with fiber quality traits governed by complex quantitative trait loci (QTL). However, the utility of QTL data is often limited due to inconsistencies across studies. This study conducted a comprehensive Meta-QTL (MQTL) analysis by integrating 2864 QTLs from 50 independent studies published between 2000 and 2024. Of these, 2162 high-confidence QTLs were projected onto a consensus genetic map using BioMercator V4.2.3, resulting in the identification of 75 MQTLs across the cotton genome. These MQTLs exhibited significantly reduced confidence intervals and enhanced statistical support, with 14 MQTLs reported for the first time. Several MQTLs, including MQTLchr7-1, MQTLchr14-1, and MQTLchr24-1, were identified as stable clusters harboring key fiber quality and stress tolerance traits. Candidate gene analysis within select MQTL regions revealed 75 genes, 38 of which were annotated with significant gene ontology terms related to lignin catabolism, flavin binding, and stress responses. Notably, GhLAC-4, GhCTL2, and UDP-glycosyltransferase 92A1 were highlighted for their potential roles in fiber development and abiotic stress tolerance. These findings provide a refined genomic framework for cotton improvement and offer valuable resources for marker-assisted selection (MAS) and functional genomics aimed at enhancing fiber quality, yield, and stress resilience in cotton breeding programs.

Salinity is a primary abiotic stressor, following water deficit, that severely constrains global agricultural productivity and causes major economic losses (FAO, 2022; Taipova et al., 2023). Soil s...

Wheat (Triticum aestivum L.) is one of the oldest cultivated crops in human history and forms the backbone of global agriculture due to its strategic importance (Shewry 2009). This crop continues t...

The restricted genetic diversity of current cotton varieties (Gossypium hirsutum L.) considerably limits breeding opportunities aimed at enhancing fiber quality and resistance to environmental factors. Wild types of allotetraploid cottons are valuable sources of genetic variation, and their breeding potential has not yet been fully utilized. In this study, the inheritance and variability of important agronomic traits were analyzed in F₁ and F₂ hybrid generations obtained from intra- and interspecific crosses involving G. hirsutum, G. barbadense, and G. darwinii. The phylogenetic relationships of allotetraploid species were analyzed using molecular-genetic and cytogenetic methods, and their breeding potential was evaluated. Cytogenetic analysis of the F₁ hybrids revealed the occurrence of univalents at metaphase I of meiosis, while bivalent numbers reached 25.9 in some hybrid combinations. Based on molecular marker analysis, significant genetic differences and polymorphism were identified between var. gambia and var. m. palmerii. There were reciprocal translocations, shown as multivalents, during ecotypic differentiation in other cross combinations. Positive transgressive segregation for the enhancement of fiber length was identified in F₂ populations. Notably, in certain hybrid combinations, fiber length extended to 40.9 mm. Furthermore, molecular analysis identified 113 unique alleles across the genotypes examined. These findings affirm that wild and exotic allotetraploid cotton forms constitute a significant source of genetic diversity for breeding programs.