Search Results (6,282)

Monitoring genetic gain is critical for evaluating breeding program performance. This study assessed genetic trends in the Zambia national maize breeding program using historical data (2001–2017) from 2225 hybrids tested across years and locations. Best linear unbiased estimates (BLUEs) were calculated, and genetic trends were determined by regressing entry means on first-year testing data. Mean heritability was moderate for grain yield, plant height, and ear height, and high for anthesis and silking dates, indicating strong reliability for flowering traits. Significant positive genetic gains were observed for most traits except days to silking. Grain yield (GY) increased at 0.021 t ha⁻¹ per year (0.85% annually), reflecting progress but remaining below levels required to meet regional future production demands. Plant and ear height increased by more than 1.3 cm annually, suggesting directional selection for taller plant architecture. Grain texture declined by 1.28% per year, indicating a shift toward flint-type kernels. Anthesis date and ears per plant showed minimal genetic variation. Regression models explained more than 15% of the total variation in plant height, ear height, ear number, and grain texture, confirming consistent genetic progress. Although measurable gains were achieved, the study’s baseline indicates that accelerating yield improvement will require rapid-cycle breeding, enhanced trait heritability, modern breeding tools, and a strategic reallocation of resources to sustain long-term impact. Full article

The growing diversity of food fermentation systems has intensified interest in non-Saccharomyces yeasts due to their broad metabolic capabilities and technological potential. However, current understanding of yeast functionality remains fragmented and frequently relies on taxonomy-centered classification, which often provides limited predictive value across fermentation systems. This review critically examines how strain-specific microbial traits, food matrix composition, and process conditions collectively shape fermentation performance across brewing, wine, cereal, plant-based, and functional fermentation systems. Particular emphasis is placed on key determinants of microbial functionality, including carbon metabolism, aroma biogenesis, acidification, enzymatic activity, microbial interactions, and transformation of food-associated bioactive compounds such as glycosides, phenolics, terpenes, and matrix-bound metabolites. The available evidence demonstrates that fermentation-relevant functionality cannot be reliably inferred from species identity alone because microbial performance is strongly modulated by strain variability and matrix-dependent environmental constraints. To address these limitations, this review proposes a matrix–trait–function framework that integrates microbial metabolic capabilities with food matrix characteristics and technological objectives to support a more predictive and application-oriented approach to yeast selection in food fermentation systems. Full article

The invasive tomato leafminer, Tuta absoluta, poses a severe global threat to solanaceous crops, necessitating sustainable biocontrol solutions. Through systematic bioprospecting across several Moroccan soils, we constructed a novel library of indigenous fungal isolates using complementary Tenebrio molitor baiting and selective media methods. High-throughput phenotyping identified 49 highly pathogenic isolates, which were characterized for conidial production, thermotolerance, and virulence against T. absoluta. We discovered two lead isolates, Beauveria bassiana UCA-350 and Metarhizium robertsii UCA-329, that demonstrated superior virulence, reducing median survival time and achieving lower LC₅₀ values than most commercial reference strains. Notably, virulence was positively correlated with in vitro conidial yield, revealing a key trait linkage for strain selection. Furthermore, genus-level divergence in thermotolerance was observed, with Beauveria isolates exhibiting significantly higher heat resilience. Our integrated multi-trait screening pipeline not only delivers two potent, regionally sourced biocontrol candidates but also establishes a phenotypic selection framework that prioritizes both efficacy and production scalability, advancing the rational development of next-generation mycoinsecticides. Full article

Selecting suitable maize hybrids and appropriately increasing planting density is a crucial strategy for improving maize yield under subsurface drip irrigation. A two-year field experiment was conducted to assess the impacts of two maize hybrids (Zhengdan 958, ZD958; Jingke 968, JK968) and four planting densities of 60,000 (PD1), 75,000 (PD2), 90,000 (PD3), and 105,000 plants ha⁻¹ (PD4), on maize growth indices, ear leaf photosynthetic parameters, nitrogen content, grain yield, and yield components. The results indicated that with increasing planting density, the plant height of ZD958 initially increased and then decreased, whereas that of JK968 continued to increase. The leaf area index of both hybrids consistently increased, while stem diameter, rind puncture strength, and stalk breaking strength gradually decreased. Dry matter accumulation initially increased and then decreased, peaking at PD3. Ear leaf nitrogen content, relative chlorophyll content, net photosynthetic rate, and stomatal conductance all decreased with increasing planting density, while intrinsic water use efficiency (iWUE) first increased and then declined, reaching its maximum at PD3. Notably, iWUE of JK968 was significantly higher than that of ZD958 during the dough stage (p < 0.01). Ear traits, including ear length, ear diameter, kernels per ear, and grain weight per ear, all decreased continuously with increasing planting density. Grain yield followed a unimodal curve, peaking at the PD3 treatment, with two-year average yields of 12.7 and 13.5 t ha⁻¹ for ZD958 and JK968, respectively. JK968 exhibited significantly higher leaf area index, stem diameter, rind puncture strength, stalk breaking strength, ear length, kernels per ear, grain weight per ear, and grain yield compared to ZD958 (p < 0.01), demonstrating superior tolerance to high planting density and enhanced source–sink coordination. In conclusion, in the North China Plain, JK968 planted at a density of 90,000 plants ha⁻¹ can synergistically optimize population structure, improve stalk mechanical strength, and enhance photosynthetic efficiency, under subsurface drip irrigation. Full article

Purple basil (Ocimum basilicum L.) is a medicinal plant widely recognized for its richness in bioactive compounds; however, its production in semi-arid regions is often constrained by soil and/or irrigation water salinity. Micronutrient fertilization may contribute to plant stress alleviation under salinity, since elements such as Mn, Mo, and Zn are involved in essential processes related to photosynthetic metabolism and physiological adjustment. This study aimed to evaluate the short-term effects of Mn, Mo, Zn, and their combinations on growth, gas exchange, and relative chlorophyll indices of purple basil plants subjected to severe NaCl stress under greenhouse conditions. The experiment was conducted under greenhouse conditions for 30 days in a randomized block design with nine treatments and four replicates: a non-saline control without micronutrients, a saline control without micronutrients, and plants exposed to 100 mM NaCl with substrate application of Mn, Mo, Zn, MoMn, ZnMo, ZnMn, or ZnMoMn. Micronutrient sources were applied to the substrate at 3.5 g kg⁻¹ according to each treatment. Fertilization with Mn, Mo, Zn, and their combinations enhanced plant stress alleviation under salinity compared with the saline control without micronutrients, with positive responses in growth and physiological performance, including increases in chlorophyll indices. The double combinations MoMn, ZnMo, and ZnMn attenuated the effects of NaCl, especially by increasing leaf area. Mn stood out for increasing net photosynthesis and water-use efficiency, whereas Mo and ZnMo were associated with higher relative chlorophyll indices. Although the triple combination ZnMoMn improved some traits compared with the saline control, its lower efficacy relative to selected single or double applications may indicate that the simultaneous supply of the three elements reduced specific synergistic effects, possibly due to nutritional imbalance or antagonistic interactions among micronutrients under severe salinity. Overall, micronutrient fertilization, particularly through specific double combinations, may contribute to short-term mitigation of NaCl-induced stress responses under controlled greenhouse conditions. Full article

The aim of this study was to compare carcass composition, meat quality, digestive tract morphometry, and leg bone dimensions of Pekin and Muscovy ducks. The study involved 40 birds, including 10 males and 10 females from each genotype, reared to market age. Carcass traits, physicochemical properties of breast and leg muscles, texture parameters, internal organ development, intestinal measurements, and selected dimensions of the femur and tibia were evaluated. The results demonstrated a significant effect of duck genotype (p < 0.05) on carcass weight, dressing percentage, and the proportion of neck, wings, and skin with subcutaneous fat. Genotype also affected meat color (L*, a*, b*), intramuscular fat and collagen content, cooking loss, pH, electrical conductivity, and selected texture parameters of breast muscles. Differences were also observed in the mass and proportion of internal organs, most intestinal morphometric traits, and selected bone measurements. Sex had a significant effect on body and carcass weight, selected meat quality traits, intestinal measurements, and leg bone dimensions, with males generally showing greater body size and more developed skeletal structures. Significant interactions between genotype and sex were observed for several analyzed traits. The findings indicate that both genotype and sex substantially affect slaughter traits and meat quality characteristics of ducks. Full article

Red clover (Trifolium pratense L.) is an important forage legume that is also a valuable source of bioactive compounds with potential health-promoting properties. This study evaluated the variability among diploid (2n) and tetraploid (4n) red clover cultivars in forage productivity, quality-related parameters, polyphenol and flavonoid content, and antioxidant activity, in order to identify promising ideotypes for dual-purpose breeding. A total of 90 cultivars were assessed under field conditions; green matter yield, dry matter yield, crude protein content, and protein yield were analyzed together with total polyphenols, total flavonoids, and antioxidant activity. Spearman correlation and principal component analysis (PCA) were used to relate the traits and identify cultivars with contrasting characteristics. Cultivar differentiation was pronounced within each ploidy group, whereas diploid and tetraploid cultivars overlapped substantially in the multivariate space, indicating that ploidy alone is not a reliable predictor of forage or medicinal value. At the group level, tetraploids tended toward higher biomass, protein-related traits, and total polyphenol concentration, while total flavonoids and antioxidant activity were broadly comparable between groups. Forage- and medicinal-related traits were only weakly correlated and thus behaved as largely independent selection targets—which is precisely why integrated multi-trait evaluation is required to identify cultivars combining both. Several cultivars did combine favorable agronomic and phytochemical characteristics, supporting within-group selection of red clover germplasm with dual forage and medicinal potential for sustainable agricultural systems. Full article

Racing pigeons (Columba livia domestica) have been selectively bred for centuries for superior flight capacity. Yet, the quantitative structure of flight performance traits and the extent to which sex influences these parameters remain poorly characterized, particularly in Turkish populations. This study aimed to evaluate flight performance in racing pigeons raised in the South Marmara region of Türkiye using three key kinematic traits (flight duration, speed, and distance) and to explore the multivariate structure and individual variation of these parameters through an integrative machine learning framework. Data were compiled from 166 individually registered pigeons (77 females, 89 males), totaling 781 race records used for pattern analysis. A composite Flight Performance Score (FPS) was constructed using min–max normalized component variables, and its internal consistency was assessed via Cronbach’s alpha and principal component analysis. Univariate comparisons revealed no statistically significant sex-related differences in any of the three flight parameters (p > 0.05 for all traits). Principal component analysis confirmed substantial overlap between male and female individuals in multivariate trait space, and Random Forest classification failed to discriminate between sexes above chance level (accuracy = 0.490; ROC-AUC = 0.500), collectively indicating that sex is not a dominant determinant of flight performance in this population. Internal consistency analysis revealed that flight duration, speed, and distance are functionally independent dimensions (Cronbach’s α = 0.135; r = −0.749 between duration and speed), with PCA of the FPS component variables indicating an effectively two-dimensional variance structure (PC1: 60.1%; PC2: 39.7%). Pattern analysis of race records identified four biologically distinct flight performance profiles, characterized by differential trade-offs among flight duration, speed, and distance, suggesting that individual-level performance strategy, rather than sex, is the primary axis of variation in this dataset. These findings challenge common breeder assumptions about sex-based differences in performance and highlight the multidimensional, individual-specific nature of flight performance in racing pigeons. Full article

The effects of climate change pose challenges to 21st-century society. Abiotic stresses such as salinity and drought represent a risk to biodiversity and the sustainability of urban and managed grasslands. In this study, we evaluated the interactive effects of mechanical defoliation (clipping), water deficit, and salinity under greenhouse conditions on several cultivars of two cool-season turfgrass species, Lolium perenne L. (‘Columbine’, ‘Allstarter’, ‘Esquire’) and Poa pratensis L. (‘Sombrero’, ‘Dakisha’, ‘Conni’). Water stress reduced relative leaf fresh and dry weight from approximately 66% to 28% and from 76% to 30%, respectively. Salinity induced moderate responses, mainly affecting root-related traits. Clipping reduced biomass, with relative leaf fresh and dry weight decreasing from 64% to 27% and from 86% to 28%, but it also stimulated compensatory responses, including increases in length increment from 0.17 to 0.29 cm day⁻¹, and in leaf and root water content from 63% to 67%. Lolium perenne showed greater root development than P. pratensis with higher root length (95% vs. 75%) and root surface area and volume (66% vs. 51%). Cultivar differences were evident, with ‘Columbine’ and ‘Allstarter’ showing greater stability, whereas ‘Dakisha’ was more sensitive. These findings highlight the importance of cultivar selection and clipping management under stress conditions. Full article

The vertebrate mitochondrial genome (mitogenome) is a small, circular DNA molecule typically ~16–17 kb in length, encoding 37 genes that are essential for the electron transport chain, the mechanism that drives mostly all the ATP synthesis in cells. Owing to its central role in energy metabolism, its structure is highly conserved across vertebrate lineages in both the number and relative position of each gene in the genome. Nevertheless, different variations have been found in several teleost lineages, including antarctic fishes (Nototheniidae), gadiforms, hatchetfishes (Sternoptychidae), and Batrachoidiformes. The explanation for these phenomena remains unknown yet may reflect shifts in functional constraints and can provide insights into lineage-specific and/or coevolutionary processes. This raises the possibility that mitogenome structure is related to habitat selection, potentially reflecting environmental influences on energetic regulation. To further test this hypothesis, we studied more than 400 teleost species across all major teleost lineages. The mitogenome sequences were downloaded from NCBI and annotated using two independent algorithms (MITOZ and MITOS) and then compared with a reference (Danio rerio) to find any deviation from the standard structure. Similarly, ecological data was downloaded from FishBase using the R Package “rfishbase” 5.0.3. Two independent ancestral reconstruction analyses were carried out for both traits, “Mitogenome” and “Habitat”, using a reference evolutionary tree for teleosts to unravel both evolutionary histories. The possible association between mitogenome and habitat was then assessed using a suite of phylogenetic comparative methods, including Pagel’s correlation test (corHMM) to evaluate whether both traits evolved in a correlated fashion, branch-level co-transition analysis to identify lineages where structural changes and habitat shifts co-occurred, and node-by-node comparisons of ancestral state probabilities across the phylogeny. Preliminary results suggest a correlation between some deep-sea environments and a modified mitogenome structure, with structural deviations tending to cluster in lineages inhabiting greater depths. These exploratory findings raise the possibility that changes in mitogenome architecture may be linked to adaptations in energetic metabolism required for life in extreme low-energy environments. Further analyses are underway to clarify the functional significance of these genomic changes and their relationship to ecological and metabolic pressures in teleost evolution. Full article

This study was conducted to investigate the effects of dietary supplementation with graded levels of SPTM on growth performance, slaughter performance, physiological parameters, and jejunal morphology of Wenchang chickens. A total of 400 female Wenchang chickens at 81 days of age with the same genetic background and similar body weight (1190.80 ± 5.54 g) were randomly allocated into four treatment groups with five replicates per group and 20 chickens per replicate. Birds were fed diets supplemented with 0%, 3%, 9%, and 12% SPTM, respectively. The experimental period lasted 40 days. The results showed that dietary SPTM supplementation had no significant effects on growth performance, slaughter performance, organ indices, or serum biochemical parameters (p > 0.05). However, significant effects were observed on serum enzyme activities, immune parameters, jejunal morphology, meat quality, and nutrient composition. Specifically, serum alanine aminotransferase (ALT) activity in the 9% SPTM group was significantly lower than that in all other groups (p < 0.05). Aspartate aminotransferase (AST) activity in the 3% SPTM group was significantly lower than that in the 12% SPTM group (p < 0.05). Breast muscle moisture content in the 12% SPTM group was significantly lower than that in the control group (p < 0.05). Total amino acid and threonine contents in the breast muscle of the 12% SPTM group were significantly lower than those in the 0% and 3% SPTM groups (p < 0.05). Lauric acid (C12:0) and myristic acid (C14:0) contents in the breast muscle of the 9% and 12% SPTM groups were significantly higher than those in the 0%, and 3% SPTM groups (p < 0.05). These selective effects on meat quality traits suggest that SPTM has potential as a partial corn replacer, but further studies are needed to optimize inclusion levels and validate sensory outcomes. This systematic investigation of the effects of SPTM on physiological parameters and meat quality in Wenchang chickens provides a theoretical basis for the rational and efficient utilization of SPTM in Wenchang chicken production. Full article

Blueberry fruit quality is characterized by multi-dimensional traits such as color, sugar-acid flavor, and volatile aroma. However, variations in progeny metabolites during seedling selection need further study. This research used the blueberry variety ‘Baldwin’ (BW) and its seedling offspring (BWSO) to compare fruit appearance, as well as sugar and acid components, anthocyanin monomers, and volatile metabolites. High-performance liquid chromatography was used to analyze anthocyanins, sugars, and acids, and gas chromatography–mass spectrometry was used to analyze volatile compounds. The results showed that, compared with BW, BWSO had a blacker skin and a lower L* value. Its total anthocyanin content increased by 35.90%, with delphinidin increasing the most (52.70%); component ratios were reconstructed. The main organic acids in BWSO decreased; titratable acid dropped by 29.82%, and the total soluble solids–acid ratio rose by 37.49%, indicating a good low-acid, high-sugar flavor. Forty-three differential volatile metabolites were found, and BWSO differed from BW in its green, fruity, and floral flavors. Notably, BWSO’s vitamin C (Vc) content decreased by 70.45% compared to BW, and Vc was negatively correlated with anthocyanin components. In conclusion, BWSO exhibits a black phenotype due to elevated total anthocyanins and restructured component ratios. Its low-acid trait yields better taste, but the antagonism between anthocyanin and Vc means balanced nutritional quality selection is crucial in dark-blueberry breeding. These findings offer new insights into the mechanism of color variation and provide a reference for balanced quality trait selection in seedling selection. Full article

Liancheng white ducks have a distinctive “white feathers, black beak, and green feet” phenotype, making them a useful model for studying pigmentation traits in waterfowl. The previous study found that the F1 generation of Liancheng white ducks crossed with white-feathered ducks and hemp-feathered ducks were all gray-black in color. This indicates the specificity and complexity of melanin deposition in Liancheng white ducks, which makes the selection and breeding of pigment traits through phenotyping difficult. The aim of this study was to investigate the candidate transcriptomic regulatory signals of melanogenesis in Liancheng white ducks. Skin, mouth skin, foot skin, liver, and muscle samples were collected from 130-day-old Liancheng white ducks. Morphological differences were observed via histological analysis, and extraction-based pigment levels were determined. The results showed that melanin granules were clearly observed in tissues other than the liver and were distributed mainly in the basal layer of the epidermis and around feather follicles; the pigment values in the tissues decreased in the order mouth skin > liver > foot skin > muscle and skin. However, the relatively high liver value should be interpreted cautiously because obvious melanin granule deposition was not observed histologically. Whole-transcriptome sequencing was performed on mouth skin and skin samples. In total, 3074 differentially expressed genes (DEGs) were screened; upregulated genes associated with melanogenesis included melanocyte inducing transcription factor (MITF) and tyrosinase (TYR); downregulated genes included agouti signaling protein (ASIP) and adenylate cyclase 2 (ADCY2). Eighteen differentially expressed microRNAs (DEmiRNAs) were identified. Based on target prediction and pathway enrichment analysis, novel_290 and apl-miR-11588-3p were identified as candidate miRNAs potentially associated with melanogenesis-related pathways, and their predicted target genes included phosphatidylinositol 3-kinase (PI3K) and Janus kinase 1 (JAK1). Additionally, 364 differentially expressed long noncoding RNAs (DElncRNAs) were identified; TCONS_00063335 and TCONS_00019814 were identified as candidate lncRNAs potentially associated with melanogenesis-related genes, including TYR and TYRP1. A putative ceRNA network was constructed based on the predicted miRNA–mRNA and miRNA–lncRNA relationships, and ENSAPLT00000025522–apl-miR-11588-3p–MAPK8IP3 was identified as a candidate network relationship associated with MAPK-related pigmentation pathways. However, because this relationship was inferred mainly from bioinformatic prediction and expression association analysis, further functional validation is required to confirm whether it contributes to melanogenesis regulation. These findings provide candidate transcriptomic and noncoding RNA information for the further investigation of tissue-specific pigmentation in Liancheng white ducks. Full article

Background/Objectives: Advances in whole-genome sequencing (WGS) technology have led to the widespread adoption of WGS for investigating genetic diseases and traits in domestic animals. This has created a need for improved methods for prioritizing candidate causal variants. One way variants are prioritized is using variant annotators that predict variant effects based on their proximity to genomic features and effect on amino acid sequence. However, validation of variant annotators for domestic animal genomes is lacking. Methods: In this study, we calculated the agreement of three popular variant annotators, Ensembl Variant Effect Predictor (Ensembl-VEP), SnpEff, and ANNOVAR, across >58 million variants identified in 1065 horse genomes. Results: Comparisons showed that agreement across all three variant annotators was >90% when terminology was standardized. Terminology standardization was the most important factor affecting agreement, as agreement dropped to 0–67% when terminology was not standardized across variant annotators. Genomic context was also a major factor, as exonic, and specifically loss-of-function, variants showed lower agreement rates than intergenic variants. In addition to annotation agreement, differences in computational resource requirements were identified. ANNOVAR required ~28× more memory and ~1.5× more time than the next best tool. Conclusions: These results demonstrate that tool selection for annotating variants should not be based on a single metric; rather, a study’s needs and available computational resources should be considered when selecting the appropriate variant annotators(s) along with the standardization of terminology across annotators. These findings are a resource for guiding decisions on the use of variant annotators in domestic animals and suggest areas for improvement in the standardization of variant prioritization. Full article

Triticale (×Triticosecale) is an important cereal crop in Poland, valued for its high yield potential and tolerance to biotic and abiotic stresses; however, fungal diseases remain a major constraint to production. This study aimed to assess the resistance and yield performance of selected winter triticale cultivars under varying levels of chemical crop protection across diverse environmental conditions. Field experiments were conducted during the 2023/2024 and 2024/2025 growing seasons at 16 locations in Poland within the framework of Post-Registration Variety Testing (PRVT). Three cultivars (Medalion, Fanfaro, and SU Atletus) were evaluated under two agrotechnical levels differing in fertilization and protection intensity. Disease severity for powdery mildew, brown rust, and septoria leaf blotch was assessed using a 9-point scale, and yield data were analyzed using four-way ANOVA and multivariate methods. The results demonstrated significant effects of management intensity, cultivar, growing season, environment as well as interactions: management intensity × environment, cultivar × environment, growing season × environment, management intensity × growing season × environment and cultivar× growing season × environment were significant for all four traits of the study. Management intensity × cultivar as well as management intensity × cultivar × environment interactions were significant for powdery mildew, brown rust and septoria leaf blotch. Management intensity × growing season interaction was significant for powdery mildew and septoria leaf blotch. Management intensity × cultivar × growing season × environment interaction was significant for powdery mildew and brown rust. The cultivar × growing season interaction was significant only for brown rust and management intensity × cultivar × growing season interaction for septoria leaf blotch. Increased protection intensity generally reduced disease severity and improved yield. Medalion exhibited the highest yield stability, whereas SU Atletus achieved the highest yields under favorable conditions but with greater variability. Fanfaro showed intermediate performance. The findings highlight the importance of cultivar selection and management intensity in optimizing triticale production and support the role of PRVT in guiding agricultural practice under variable climatic conditions. Full article