Major Trait Research Articles

Phenotypic Diversity Analysis in the Sect. Tuberculate (Camellia L.) Population, an Endemic Taxon in China

Sect. Tuberculate Chang belongs to the genus Camellia, which is an endemic group in China and has high research value. However, the phenotypic patterns of this taxon are complex and diverse, and the phenotypic variation in key traits is still unclear. In this study, a total of 212 samples from 18 populations of sect. Tuberculate plants were studied for 30 phenotypic traits of flowers, fruits, and leaves using analysis of variance, correlation analysis, principal component analysis, and cluster analysis. The results showed the following. (1) The plants in sect. Tuberculate were rich in phenotypic trait variation and possessed rich phenotypic diversity. The differentiation of phenotypic traits mainly came from among populations, with leaves (66.804%) being the largest and flowers (53.476%) being the smallest. Qualitative traits (70.264%) were greater than quantitative traits (57.608%). (2) Correlation analyses showed close and complex relationships among the phenotypic traits of flowers, fruits, and leaves. (3) The cumulative contribution of the first 10 principal components was up to 73.49%, which screened out 12 major traits contributing to the phenotypic differences in plants of sect. Tuberculate. (4) Q-type analysis showed that they were classified into 18 taxa at a Euclidean distance of 7.5 and 11 taxa at a Euclidean distance of 10. The 18 populations were not fully clustered according to the geographic distance of the plants, and there was an overlap between some of the populations. In summary, the degree of variation in phenotypic traits among populations of sect. Tuberculate plants is high, which is affected by the climatic environment. The 12 major phenotypic traits screened can be used as the basis for the classification of sect. Tuberculate plants. There are trait overlaps among some populations, which may be affected by the stochastic influence of the geographic climate and gene flow. This study will provide important references for interspecific identification, classification system construction, genetic mechanism, germplasm resource conservation, and exploitation of plants in sect. Tuberculate.

Diversity of Major Yield Traits and Nutritional Components Among Greenhouse Grown Chickpea (Cicer arietinum L.) Breeding Lines, Landraces, and Cultivars of Different Origins.

This study analyzed the diversity of major yield traits and nutritional components across 122 chickpea breeding lines, cultivars, and landraces of different origins. All parameters showed significant variations, with a variance ranging from 4.61% in days to maturity (DM) to 43.04% in oleic acid. Six accessions, including CP021, CP022, CP026, CP037, CP066, and CP109, outperformed in yield traits and nutritional value. Origin significantly affected all phenotypic traits except total fatty acid contents, with Indian and Ukrainian accessions demonstrating contrasting performances. Most traits, except for the number of seeds per pod (SPP), palmitic acid, and total fatty acid contents, differed significantly among breeding lines, cultivars, and landraces. Breeding lines were the earliest to flower and to mature with average days to flowering (DF) of 50.23 days and DM of 101.50 days. They also had the highest average SPP, number of pods per plant (PPP), total seeds per plant (TSPP), total protein, crude fiber, dietary fiber, linoleic acid, and linolenic acid contents making them preferable for high yield and nutrition. Hierarchical cluster analysis classified the chickpea accessions into seven clusters, showing significant variations in yield traits and nutritional components. Principal component and Pearson's correlation analyses indicated positive correlations between DM and DF, and between SPP, PPP, and TSPP. Nutritional components also displayed varying associations, with a notable negative correlation between oleic and linoleic acids, the two essential fatty acids. Overall, this study showed the diversity of key phenotypic traits in chickpea breeding lines, cultivars, and landraces of different origins. The significant effects of genotype and origin differences on these traits could be used as a basis for future metabolomics and genomics research.

Factors influencing calving difficulty and gestation length in dairy cows inseminated with beef sires

Producing calves with higher economic value by utilizing semen from beef breeds in dairy herds (Beef-on-Dairy, BoD) has become more common in recent times. Such crossbreed calves promise better carcass conformation and higher consumer acceptance due to the better flavor, but the widespread adaptation of BoD requires careful consideration of the sire breed to maximize the benefits. In this regard, two major traits of interest are calving difficulty and gestation length due to associated costs. In this study, 3,966 BoD calves from crossing Holstein dams with beef sires of the breeds Angus (n = 811), Belgian Blue (n = 2841), Limousin (n = 169) and Wagyu (n = 145) from 122 farms were evaluated to determine differences in calving difficulty and gestation length using binary logit and linear regression models. Lowest calving difficulty was observed for Wagyu crossbreds while Limousin crossbreds had the highest calving difficulty incidences. Selected sires from Angus and Belgian Blue breeds were also compared using chi-square analysis for differences in calving difficulty. The risk of calving difficulty was 1.94 times higher for male calves. Heifers had a significantly higher risk for calving difficulty when compared with the multiparous cows in the study. Calves with higher birth weight and longer gestation length were more prone to calving problems. For gestation length, Angus crossbreds had the shortest gestation (280.2 d), while the longest gestation (287.6) was observed in Limousin crossbreds. To maximize the benefits of the BoD breeding strategy, selecting appropriate sire breeds and within-breed sire selection for economically important traits, such as birth weight, appropriate gestation length, and reduced calving difficulty, may provide a viable solution.

Leadership Development and Emergence of Leadership Traits in Female Leaders in Nepal: A Narrative Analysis of Female Leaders of Private Organisations

Female leaders practice a transformational leadership style which has been regarded and proved to be an effective approach in organizational settings. Despite several research findings adhering to the effective leadership approach adopted by female leaders, men still outnumber women in leadership positions. This research study delves into the leadership identity of Nepali female leaders, their effective leadership practice in organisations, and their leadership styles and traits. The research used a narrative identity framework, analysing the narratives of seven prominent female leaders in private organisations in Nepal. The result indicated that the leadership identity of these leaders was shaped by social (gender, corporate outlook) and family factors. Contrary to popular belief, these female leaders received strong support from their families and colleagues. These leaders demonstrated high emotional intelligence, were observant, cordial with colleagues, served as mentors, and had an ever-learning attitude that continuously enhanced their professional efficiency in a self-regulatory way. The combined effect of these interrelated attributes helped form six major leadership traits – empathetic, loyal and committed, adaptive, intuitive, team player, and resilient. These traits had a common foundation of being resolute and ethical and were strongly embedded in how they led and how they perceived their role as leaders in their organisations.

A transcription factor, PbWRKY24, contributes to russet skin formation in pear fruits by modulating lignin accumulation

Abstract Skin color is one of the major traits of fruit appearance quality in pear (Pyrus), which affects the fruit commodity value. Russet skin protects pear fruits from environmental stresses and its formation process is closely linked to lignin accumulation. However, the molecular regulatory networks underlying russet skin formation in pear fruits involve complex secondary metabolic pathways and remain elusive. Here, we explored the regulatory mechanisms underlying lignin accumulation in pear skin based on transcriptome sequencing, co-expression network analysis, and gene expression profiling. We identified a WRKY transcription factor gene, PbWRKY24, that regulates russet skin formation in pear fruits. The relative expression of PbWRKY24 in russet pear skin was significantly correlated with lignin content. We then verified the function of PbWRKY24 in lignin accumulation via genetic transformation. DNA affinity purification sequencing revealed that PbWRKY24 directly binds to the promoter of a lignin biosynthesis gene, PbPRX4. This binding was confirmed by yeast one-hybrid, dual-luciferase, and electrophoretic mobility shift assays. Overexpression of PbPRX4 in pear skin stimulated lignin accumulation and consequently promoted russet skin formation. This study provides a glimpse into the intricate lignin biosynthesis mechanisms during russet skin formation in pear fruits, which is of practical significance to pear breeding for fruit quality.

Haplotype-resolved genome assembly and resequencing provide insights into the origin and breeding of modern rose.

Modern rose (Rosa hybrida) is a recently formed interspecific hybrid and has become one of the most important and widely cultivated ornamentals. Here we report the haplotype-resolved chromosome-scale genome assembly of the tetraploid R. hybrida 'Samantha' ('JACmantha') and a genome variation map of 233 Rosa accessions involving various wild species, and old and modern cultivars. Homologous chromosomes of 'Samantha' exhibit frequent homoeologous exchanges. Population genomic and genomic composition analyses reveal the contributions of wild Rosa species to modern roses and highlight that R. odorata and its derived cultivars are important contributors to modern roses, much like R. chinensis 'Old Blush'. Furthermore, selective sweeps during modern rose breeding associated with major agronomic traits, including continuous and recurrent flowering, double flower, flower senescence and disease resistance, are identified. This study provides insights into the genetic basis of modern rose origin and breeding history, and offers unprecedented genomic resources for rose improvement.

Genome-wide association analysis revealed genetic markers linked to grain yield and yield related traits in finger millet grown in acidic soils

Abstract Aim Soil acidity has a major impact on the finger millet yield and productivity as tolerant cultivars that perform well in acidic soils are limited. This study aimed at evaluating major finger millet phenotypic traits under acidic soils followed by identifying associated markers. Method A total of 288 finger millet genotypes were field evaluated for 8 major phenotypic traits including grain yield under acid soil conditions at two independent locations (Bako and Gute) in Ethiopia. In parallel, the same genotypes were subjected to genotyping-by-sequencing to generate single nucleotide polymorphism markers to be used in the association panel. Results Phenotypic data analysis revealed significant phenotypic variation in all the targeted traits among the studied genotypes. Genotypes Ec-100093, Ec-215803, and Ec-203322 were relatively high-yielding, whereas genotypes Ec-229721 and Ec-242110 had the lowest grain yield across the two locations. The broad-sense heritability of the traits ranged from 0.04 for the number of effective tillers (NET) to 0.78 for days to emergence (DE). The marker-trait association analysis revealed 23 SNP markers significantly associated with one or more traits. Among the 23 significant markers, one marker associated with DE, seven with days to heading (DH), four with days to maturity (DM), one with plant height (PH), two with number of fingers, two with ear length (EL), three with the number of effective tillers (NET) and three with grain yield (GY). Conclusions The identified novel markers associated with the targeted traits will potentially be useful for genomics-driven finger millet improvement in acidic soils.

Abf1 negatively regulates the expression of EPA1 and affects adhesion in Candida glabrata.

Introduction. Adherence is a major virulence trait in Candida glabrata that, in many strains, depends on the EPA (epithelial adhesin) genes, which confer the ability to adhere to epithelial and endothelial cells of the host. The EPA genes are generally found at subtelomeric regions, which makes them subject to subtelomeric silencing. In C. glabrata, subtelomeric silencing depends on different protein complexes, such as silent information regulator and yKu complexes, and other proteins, such as Repressor/activator protein 1 (Rap1) and Abf1. At the EPA1 locus, which encodes the main adhesin Epa1, we previously found at least two cis-acting elements, the protosilencer Sil2126 and the negative element, that contribute to the propagation of silencing from the telomere to the subtelomeric region.Hypothesis. Abf1 binds to the regulatory regions of EPA1 and other regions at the telomere E-R, thereby negatively regulating EPA1 transcription.Aim. To determine whether Abf1 and Rap1 silencing proteins bind to previously identified cis-acting elements on the right telomere of chromosome E (E-R subtelomeric region), resulting in negative regulation of EPA1 transcription and infer Abf1 and Rap1 recognition sites in C. glabrata.Methodology. We used chromatin immunoprecipitation (ChIP) followed by quantitative PCR to determine the binding sites for Abf1 and Rap1 in the intergenic regions between EPA1 and EPA2 and HYR1 and EPA1, and mutants were used to determine the silencing level of the EPA1 promoter region.Results. We found that Abf1 predominantly binds to the EPA1 promoter region, leading to negative regulation of EPA1 expression. Furthermore, the mutant abf1-43, which lacks the last 43 amino acids at its C-terminal end and is defective for subtelomeric silencing, exhibits hyperadherence to epithelial cells in vitro compared to the parental strain, suggesting that EPA1 is derepressed. We also determined the motif-binding sequences for Abf1 and Rap1 in C. glabrata using data from the ChIP assays.Conclusion. Together these data indicate that Abf1 negatively regulates EPA1 expression, leading to decreased adhesion of C. glabrata to epithelial cells.

In the Educational Nexus: Understanding the Sequential Influence of Big Five Personality Traits, Major Identity, and Self-Esteem on Academic Outcomes through Clustering Algorithms

This study investigates the relationship between the Big Five personality traits, major identity, self-esteem, and academic outcomes in education. It uses clustering techniques to examine the impact of these factors on students’ academic performance. The research reveals unique patterns when considering personality traits, major identity formation, and self-esteem. The findings highlight the importance of considering these factors when understanding academic attainment trajectories. The study uses popular clustering methods like K-means, DBSCAN, and Hierarchical clustering to reveal latent clusters and provide unique profiles with different combinations of major identity orientations, personality traits, and self-esteem levels. The performance of clustering algorithms is also evaluated using standard assessment metrics. The findings offer insights into the sequential influence of these factors on academic outcomes, guiding the design of student-centric learning materials and providing a framework for promoting successful academic results through an all-encompassing strategy for student development.

Impact of intraspecific genetic variation on interspecific competition: a theoretical case study of forage binary mixtures

IntroductionIncreasing intraspecific genetic variation (IV) has been identified as a potential factor to improve productivity and stabilise botanical composition in plant communities. In grasslands systems, this could offer a lever to manage uncertainties of production and variability in the harvested species balance. However, little is known about the conditions to favour IV impact and the mechanisms at play.MethodsThe dependency of IV impact on traits holding it and environmental stressors were analysed using a spatially-explicit individual-based model (IBM) of grassland communities. Sixty-three binary mixtures were defined to reflect a gradient of functional divergence between species regarding light and nitrogen (N) acquisition. The growth and dynamics of these communities were simulated for one year with three possible IV levels under two environments contrasting in terms of soil N fertility.Results and discussionThe model predicted a positive impact of moderate and high IV levels on maintaining the species balance over time, but no marked effects on mixture productivity. This stabilising effect increased at higher IV levels and under low soil N fertility. It also tended to be more pronounced in communities with intermediate functional divergence offering a significant overlap between light and N acquisition parameter values of both species. The major traits involved in the plant response to neighbours differed depending on the most contested resource, as indicated by the within-population selection of individuals with favourable N-related parameters under low N and light-related parameters under high N environments. The hypothesis that IV favours a complementarity of resource use between species was not supported. Rather, a greater spatial heterogeneity in competitive interactions was demonstrated, leading to a higher probability of growth and survival for individuals within the subordinate species. These results highlight the potential usefulness of IV to design forage mixtures with improved stability and resilience.

Exploring body morphometry and weight prediction in Ganjam goats in India through principal component analysis.

The body conformations of 262 adult Ganjam goats were subjected to principal component analysis (PCA) with 11 morphometric variables. The results were then used to predict the mature body weight of the goats. Most of the traits were positively correlated, and the correlations were statistically significant. The three main components that the PCA recovered explained 76.12% of the variation in body morphometry overall. The first component accounted for approximately 54.74% of the overall variation and described almost all the traits except ear length and tail length, as indicated by high component loadings. The second component accounted for approximately 11.48% of the variation, mostly accounting for the variation in tail length. The principal component accounted for 9.89% and mostly explained the variation in ear length. The communalities ranged between 0.557 (horn length) and 0.848 (chest circumference) for the first three extracted components. The highest percentage of variability in chest girth was explained by the first three principal components, whereas it was the lowest for the horn length. In the context of predicting body weight through stepwise regression analysis, nine primary variables accounted for 57.3% of the total variance in body weight. Conversely, utilizing the first principal component alongside six additional principal components as independent variables resulted in capturing 56.3% of the variation in the adult live weight of goats while maintaining model comparability with other pertinent parameters. PCA was used efficiently for body weight prediction from major morphometric traits of Ganjam goats addressing the multicollinearity issue.

From fibers, to flowering, to metabolites: unlocking hemp (Cannabis sativa L.) potential with the guidance of novel discoveries and tools.

Cannabis sativa L. is an ancient crop whose agricultural adoption has been interrupted to prevent the use of marijuana as psychoactive drug. Nevertheless, hemp - the Cannabis sativa type with low concentrations of intoxicating Δ9-tetrahydrocannabinoid - is experiencing resurged interest thanks to loosened cultivation restrictions and its potential as multipurpose bio-based crop. In fact, hemp has valuable applications, including production of medicines from its non-intoxicating cannabinoids, food, medical, and industrial uses of its seed oil rich in poly-unsaturated fatty acids, and production of fibers for textiles and industry from its stems. Recently, several hemp genomic and genetic resources have been developed, allowing for a significant expansion of the genetic knowledge on major hemp traits, as cannabinoids, oil, and fibers synthesis, and regulation of flowering and sex determination. Still, hemp is an under-improved crop, whose advancement will depend on the ability to expand and collectively use the novel resources available in light of the fast advancements in bioinformatics and plant phenotyping technologies. This review discusses on the current genetic and genomic knowledge on the most important hemp traits, and provides a perspective on how to further expand such knowledge and tackle hemp improvement with the most up-to-date tools for plant and hemp research.

Chemical composition of γ-irradiated German chamomile (Matricaria recutita L.) flower essential oils, acetylcholinesterase inhibitory activity and effects on growth inhibition of Staphylococcus aureus and Candida albicans

Radiation-induced mutations have been the most commonly used technique for the development of mutant varieties. The primary aim has been to upgrade the existing plant varieties by varying a few major traits responsible for limiting metabolite productivity. The increasing regulations on protected plant varieties and germplasms have restricted their use. The induced mutants have played a vital role in strengthening the plant breeding program. The medicinal and aromatic plants have been poorly explored for mutation breeding. CSIR-CIMAP has initiated a mutation breeding program on some of the high-value plants, like Matricaria. As a result, we could develop gamma-rays-induced stable accessions. Genus Matricaria is well known for the biosynthesis of diverse bioactive plant secondary metabolites as well as for its traditional and healthcare benefits documented in Ph. Eur. In the present work, gamma-irradiated stable accessions of German chamomile, Matricaria recutita L., have been investigated for their essential oil composition and biological assessment. After a thorough investigation for a two-year cropping period, we have observed that some accessions contain the highest α-bisabolol oxide B proportions (24.3–55.3%), while quite a few showed chamazulene (2.9–5.8%), α-bisabolone oxide A (6.5–38%), and α-bisabolol oxide A (30.1–55.3%). A few accessions were marked by the presence of lavandulol, an irregular monoterpenoid of high fragrance value. The antibacterial, anti-inflammatory, and acetylcholinesterase (AChE) inhibitory properties of these gamma-irradiated accessions were also evaluated. The accessions G6-R5-5 and G2-R1-6 exhibited maximum inhibition against S. aureus whereas G2-R1-1 arrested the growth of C. albicans. Furthermore, G2R1-3 composition is responsible for reducing AChE and inflammation in cell lines. These results may open up ways to develop plant-derived consumer products from Matricaria recutita L.

Ancient developmental genes underlie evolutionary novelties in walking fish

A critical question in biology is how new traits evolve, but studying this in wild animals remains challenging. Here, we probe the genetic basis of trait gain in sea robin fish, which have evolved specialized leg-like appendages for locomotion and digging along the ocean floor. We use genome sequencing, transcriptional profiling, and interspecific hybrid analysis to explore the molecular and developmental basis of leg formation. We identified the ancient, conserved transcription factor tbx3a as a major determinant of sensory leg development. Genome editing confirms that tbx3a is required for normal leg formation in sea robins, and for formation of enlarged central nervous system lobes, sensory papillae, and adult digging behavior. Our study establishes sea robins as a model organism for studying the evolution of major trait gain and illustrates how ancient developmental control genes can underlie novel organ formation.

The transcription factor CAMTA2 interacts with the histone acetyltransferase GCN5 and regulates grain weight in wheat.

Grain weight and size are major traits targeted in breeding to improve wheat (Triticum aestivum L.) yield. Here, we find that the histone acetyltransferase GENERAL CONTROL NONDEREPRESSIBLE 5 (GCN5) physically interacts with the calmodulin-binding transcription factor CAMTA2 and regulates wheat grain size and weight. gcn5 mutant grains were smaller and contained less starch. GCN5 promoted the expression of the starch biosynthesis genes SUCROSE SYNTHASE 2 (Sus2) and STARCH-BRANCHING ENZYME Ic (SBEIc) by regulating H3K9ac and H3K14ac levels in their promoters. Moreover, immunoprecipitation followed by mass spectrometry (IP-MS) revealed that CAMTA2 physically interacts with GCN5. The CAMTA2-GCN5 complex activated Sus2 and SBEIc by directly binding to their promoters and depositing H3K9ac and H3K14ac marks during wheat endosperm development. camta2 knockout mutants exhibited similar phenotypes to gcn5 mutants, including smaller grains that contained less starch. In gcn5 mutants, transcripts of high molecular weight (HMW) Glutenin (Glu) genes were downregulated, leading to reduced HMW glutenin protein levels, gluten content, and sodium dodecyl sulfate (SDS) sedimentation volume. However, the association of GCN5 with Glu genes was independent of CAMTA2, since GCN5 enrichment on Glu promoters was unchanged in camta2 knockouts. Finally, we identified a CAMTA2-AH3 elite allele that corresponded with enhanced grain size and weight, serving as a candidate gene for breeding wheat varieties with improved grain weight.

Aggressive behavior as a predictor of home range size: findings from both range-restricted and widespread Darwin’s finch species

AbstractInformation about an animal’s home range (the geographical area in which it accesses resources for survival and reproduction) is vital broadly for understanding animal behavior and specifically for developing conservation management plans. Although personality traits—consistent individual differences in behavior across time and contexts—may affect an animal’s home range size, we still lack a breadth of empirical studies across systems to fully appreciate this influence. Here, we tested the relationship between behavioral responses and home range size in two Darwin’s finch species on Floreana Island: the critically endangered and range-restricted Medium Tree Finch (Camarhynchus pauper) and the common and widespread Small Ground Finch (Geospiza fuliginosa). Using a combination of rapid-assessment assays during both short-term captivity and in the field, we measured exploration and aggressiveness in males from both species. We then used radio telemetry to measure each bird’s home range size over a week-long period. We predicted that (1) fast-exploring individuals would have larger home ranges, and (2) more aggressive individuals would have smaller home ranges. We found that Medium Tree Finches had smaller home ranges than Small Ground Finches, that exploratory behavior was positively correlated with home range size only in Small Ground Finches, and that, in both species, individuals’ aggressiveness was negatively correlated with home range size, whereby the more aggressive individuals occupied smaller home ranges. We conclude that behavioral responses that align with major personality traits can predict home range size, which may provide an important tool for the conservation and management of endangered species when, for example, selecting individuals with different personality profiles for reintroduction.

Co‐occurrence in snake and lizard sister species is unrelated to major ecomorphological traits

AbstractEnvironmental factors and interspecific interactions, such as competition and facilitation, can shape species' geographic ranges. Here, we tested the relationship between geographic range overlap of squamate sister species, and their divergence in body size, diel activity, and microhabitat use. Competition theory predicts that sister species with similar traits will overlap less geographically than sister pairs with dissimilar traits. However, similar distributions may present similar selective pressures and favour similar adaptations, such that habitat filtering may result in species with more similar traits in sympatry. Across 1434 sister species contrasts, we found little relationship between range overlap and niche divergence. In some models, the divergence in body size and microhabitat use marginally increased with sympatry, while in other models, sympatric sisters had similar activity times. However, the low R‐squared values of almost all these models lend only weak support to predictions from competition or habitat filtering theories. Sympatric sister species within the same biome showed more similar activity times than expected, lending some support to habitat filtering. Niche divergence in allopatry or sympatry, as calculated using a multi‐trait dissimilarity index, did not show a phylogenetic signal, and niches of sister species from different squamate clades did not deviate significantly from the null expectation. Overall, niche divergence or convergence, across the axes we explored, is not a prerequisite for regional species co‐occurrence. We suggest here that the lack of consistent support for either limiting similarity or habitat filtering may reflect that both these forces act as transient phenomena. More fine‐grained analyses, in space and time, would be needed to detect their fingerprints. Thus, coexistence in the face of competition can arise due to various evolutionary and biogeographic mechanisms, acting concurrently or asynchronously.

SeqSNP-Based Targeted GBS Provides Insight into the Genetic Relationships among Global Collections of Brassica rapa ssp. oleifera (Turnip Rape).

Turnip rape is a multi-purpose crop cultivated in temperate regions. Due to its ability to fit into crop rotation systems and its role as a food and feed source, spring-type turnip rape cultivation is on the rise. To improve the crop's productivity and nutritional value, it is essential to understand its genetic diversity. In this study, 188 spring-type accessions were genotyped using SeqSNP, a targeted genotyping-by-sequencing method to determine genetic relationships between various groups and assess the potential effects of mutations within genes regulating major desirable traits. Single nucleotide polymorphism (SNP) alleles at six loci were predicted to have high effects on their corresponding genes' functions, whereas nine loci had country/region-specific alleles. A neighbor-joining cluster analysis revealed three major clusters (I to III). About 72% of cluster-I accessions were of Asian origin, whereas 88.5% of European accessions and all North American accessions were placed in cluster-II or cluster-III. A principal coordinate analysis explained 65.3% of the total genetic variation. An analysis of molecular variance revealed significant differentiation among different groups of accessions. Compared to Asian cultivars, European and North American cultivars share more genetic similarities. Hence, crossbreeding Asian and European cultivars may result in improved cultivars due to desirable allele recombination. Compared to landraces and wild populations, the cultivars had more genetic variation, indicating that breeding had not caused genetic erosion. There were no significant differences between Swedish turnip rape cultivars and the NordGen collection. Hence, crossbreeding with genetically distinct cultivars could enhance the gene pool's genetic diversity and facilitate superior cultivar development.

Variations in Major Agronomic Traits of Durum Wheat Germplasm Under Different Nitrogen Fertilization Levels

Variations in Major Agronomic Traits of Durum Wheat Germplasm Under Different Nitrogen Fertilization Levels

Virulence Adaptation by Rice Planthoppers and Leafhoppers to Resistance Genes and Loci: A Review.

In recent decades, research on developing and deploying resistant rice has accelerated due to the availability of modern molecular tools and, in particular, advances in marker-assisted selection. However, progress in understanding virulence adaptation has been relatively slow. This review tracks patterns in virulence adaptation to resistance genes (particularly Bph1, bph2, Bph3, and bph4) and examines the nature of virulence based on selection experiments, responses by virulent populations to differential rice varieties (i.e., varieties with different resistance genes), and breeding experiments that interpret the genetic mechanisms underlying adaptation. The review proposes that varietal resistance is best regarded as a combination of minor and major resistance traits against which planthoppers develop partial or complete virulence through heritable improvements that are reversable or through evolutionary adaptation, respectively. Agronomic practices, deployment patterns, and herbivore population pressures determine the rates of adaptation, and there is growing evidence that pesticide detoxification mechanisms can accelerate virulence adaptation. Research to delay adaptation has mainly focused on gene pyramiding (i.e., including ≥ two major genes in a variety) and multilines (i.e., including ≥ two resistant varieties in a field or landscape); however, these strategies have not been adequately tested and, if not managed properly, could inadvertently accelerate adaptation compared to sequential deployment. Several research gaps remain and considerable improvements in research methods are required to better understand and manage virulence adaptation.