Selection Of Genotypes Research Articles

СТРЕССОУСТОЙЧИВЫЙ, С ХОРОШИМ КОМПЛЕКСОМ ОСНОВНЫХ ХОЗЯЙСТВЕННЫХ ПРИЗНАКОВ СОРТ ПШЕНИЦЫ ОЗИМОЙ ТЕРСИНКА

A new variety of soft winter wheat, Tersinka, has been developed in the North Caucasus Federal Scientific Agrarian Center of the Stavropol Region. The objective of research is to create adaptive, stress-resistant genotypes of universal wheat with a set of economic traits for cultivation using intensive and medium-intensive technologies in the conditions of the North Caucasus, Lower Volga and Central Black Earth regions of Russia. New varieties are bred using modern methods of classical, haploid and marker selection. It is based on intraspecific, complex, stepwise hybridization and, starting from the third generation of hybrids (F3), continuous, targeted, individual selection of new genotypes is carried out based on the traits of the model of universal wheat varieties of varying intensity that we have developed. The experiment was carried out on fallow, the method of variety placement was systematic. In the last crossing, the Don 95 variety was used as the maternal form, the Verta variety served as the paternal form. The Tersinka variety belongs to the Erythrospermum variety. During the years of study (2021–2023), the new variety always reliably exceeded the Grom standard in grain yield. On average, this excess over the standard was 1.67 t/ha. According to the growing season, Tersinka belongs to mid-season varieties. The new variety has a higher productive tillering. It is distinguished by high drought and heat resistance and reliably exceeds the standard in terms of resistance to these stresses. According to flour-baking indicators, it belongs to strong wheat improvers. It is distinguished by high field resistance to biotic stressors and a complex of major diseases.

Determination of Correlation and Path Coefficient for Seed Yield and it’s Contributing Characters in Soybean Germplasm

Background: Soybean is one of the world’s most important legumes contributing significantly as an oilseed in terms of total production and international trade. It is a multipurpose crop. Selection of genotypes with higher yield is always given priority by breeders for developing high yielding varieties. The present experimentation was conducted to know character association and path coefficient analysis among yield and its components for enhancing the usefulness of selection criterion to be followed during development of cultivars. Methods: The experimental material consisted of 32 soybean genotypes sown at Sipani Krishi Anusandhan Farm, Changli, Mandsaur Madhya Pradesh in Kharif season, 2022 in RBD with three replication. The character association and path coefficient was analysed between seed yield and nine yield attributing quantitative characters. Result: Grain yield per plot showed highly significant and positive correlation with number of primary branches per plant (0.501** and 0.444**), number of pods per plant (0.714** and 0.684**), number of pods per cluster (0.709** and 0.673**), number of nods per plant (0.746** and 0.687**) and plant height (0.253* and 0.214*) respectively at both the genotypic and phenotypic levels. Out of ten, five characters had positive direct effect on seed yield per plot. Highest positive direct effect on seed yield per plot was exhibited by number of pods /plant followed by number of nods /plant, number of primary branches per plant, number of pods /cluster, days to 50% pod initiation.

Exploring the Correlation between Morpho-physiological Traits and Growth Attributes Associated with Yield Characteristics in Rice (Oryza sativa L.)

This study aimed to identify the morpho-physiological and growth attributes, and yield associated with yield in rice genotypes. The experiment included 120 rice genotypes and 3 checks, conducted in an alpha lattice design with two replications at the Research Cum Instructional Farm in the Department of Plant Physiology, Indira Gandhi Krishi Vishawavidyalaya, Raipur, Chhattisgarh, during the two consecutive Kharif seasons of 2021-22 and 2022-23. Conventional spacing of 15 x 20 cm and recommended cultural practices were employed. The objective is to improve the overall efficiency and productivity of rice cultivation to meet the needs of a growing population. It is crucial to emphasize the comprehension and enhancement of the fundamental features associated with canopy structure and growth attributes. Improving these morpho-physiological traits is pivotal for boosting rice yield. By studying and refining the arrangement and growth of the rice plant's leaf canopy, the goal is to enhance the efficiency and productivity of rice cultivation. The results indicated that productive tillers (0.335**) and flag leaf area (0.213*) were positively correlated with higher yields. While leaf angles, specific leaf area, and days to panicle initiation showed negative correlations with yield. The leaf area index at flowering was positively correlated with specific leaf area (0.382***) but negatively with grain yield (-0.199*). Specific leaf weight was positively correlated with yield per hectare (0.178*). Understanding these relationships can guide the selection and breeding of rice genotypes with optimal traits for enhanced grain yield and crop performance.

Effects of Genotypes and Mulching on Growth and Yield of Onion

Selection of the right genotype and optimizing management practices are essential for higher crop productivity. In the area of onion cultivation, the correlation between onion genotypes and mulching remains a relatively unexplored terrain. To identify this association, an experiment was conducted at the Horticulture Development Resource Centre, Kaski, from November to April 2023. Structured in two factorial randomized complete block designs, the experiment featured five genotypes—AVON 1052, AVON 1103, Khumal 1, Khumal 2, and Red Creole (check variety)—and two mulching levels, namely black plastic mulch and control, with four replications. Significant variations were found among genotypes in response to mulching. Red Creole, Khumal 1, and AVON 1103 exhibited a significant difference in plant height and leaf number. AVON 1052, Khumal 2, and Khumal 1 showed a substantial divergence in average total bulb diameter with and without mulching. Furthermore, with the exception of Red Creole, other genotypes demonstrated a significant difference in total bulb yield, favoring mulching with black plastic. Khumal 2, produced a yield of 11.7 t ha-1 without mulching, attributed its success to larger bulb diameter, more leaves (8), and taller plants (66.8 cm), while Khumal 2 (16 t ha-1) under mulching showed similar yielding potential as Red Creole. Ultimately, the recommendation of mulching in Khumal 2 was given owing to the bulb-splitting problem in Red Creole and indifferent yield in Khumal 2 as compared to Red Creole. This research shows how better onion types and using mulch can enhance onion production and promote agricultural sustainability in Nepal.

Trait-guided selection for superior safflower genotypes: towards enhanced oil yield and composition

Trait-guided selection for superior safflower genotypes: towards enhanced oil yield and composition

Effects of Drought at Anthesis on Flag Leaf Physiology and Gene Expression in Diverse Wheat (Triticum aestivum L.) Genotypes

The current study aimed to quantify the effects of two drought intensities achieved by deprivation of watering for 45 and 65% of the volumetric soil moisture content (VSMC) for 14 days after wheat anthesis to identify physio-biochemical and molecular changes associated with drought tolerance in six genotypes with different drought tolerance. Drought at 65% of VSMC induced a significant decrease in the chlorophyll a content in the drought-sensitive genotype, which indicated a strong loss of photosynthetic reaction centres. Further, in the drought-tolerant genotype, the content of carotenoids, which could play a vital role in resisting water shortage stress, tended to increase. The increased production of malondialdehyde showed that the antioxidant system in the drought-sensitive genotypes was not properly activated. A significant decrease in catalase (CAT; EC 1.11.1.6) was observed at a 45% reduction in VSMC, compared to the control, in the drought-sensitive genotype, and at a reduction in VSMC of 65%, in all medium sensitive genotypes. Further, the drought-tolerant and -medium tolerant genotypes responded to drought with a decline in total glutathione concentrations with the intention to reinforce their defence system. Thereby, dehydroascorbate reductase (DHAR; EC 1.8.5.1), monodehydroascorbate reductase (MDHAR; EC 1.6.5.4), and glutathione reductase (GR; EC 1.6.4.2) were critical enzymes involved in the ascorbate–glutathione cycle together with CAT, showing their main role in the detoxification of ROS produced with the reduction in VSMC by 65%. The results of gene expression analysis showed that severe drought increased the levels of the DHN5 and WZY2 genes (that were significantly positively correlated) in the drought-tolerant genotype, whose grain weight, area, and length did not change in maturity. Also, it was seen that DHN5 expression showed a significant positive correlation with grain length and proline content at a 45% reduction in VSMC. The identification of different mechanisms under drought can contribute to the selection of drought-tolerant genotypes.

High coral heat tolerance at local-scale thermal refugia

Marine heatwaves and mass bleaching have devastated coral populations globally, yet bleaching severity often varies among reefs. To what extent a reef’s past exposure to heat stress influences coral bleaching and mortality remains uncertain. Here we identify persistent local-scale hotspots and thermal refugia among the reefs of Palau, Micronesia, based on 36 years of satellite-derived cumulative heat stress (degree heating weeks–DHW, units: °C-weeks). One possibility is that hotspots may harbour more heat tolerant corals due to acclimatisation, directional selection, and/or loss of tolerant genotypes. Historic patterns of assemblage-wide mass bleaching and marine heatwaves align with this hypothesis, with DHW-bleaching responses of hotspots occurring at 1.7°C-weeks greater heat stress than thermal refugia. This trend was consistent yet weaker for Acropora and corymbose Acropora, with severe bleaching risk reduced by 4–10% at hotspots. However, we find a contrasting pattern for Acropora digitifera exposed to a simulated marine heatwave. Fragments of 174 colonies were collected from replicate hotspot and thermal refugium outer reefs with comparable wave exposure and depth. Higher heat tolerance at thermal refugia (+0.7°C-weeks) and a correlation with tissue biomass suggests that factors other than DHW may overwhelm any spatially varying effects of past DHW exposure. Further, we found considerable A. digitifera heat tolerance variability across sites; compared to the least-tolerant 10% of colonies, the most-tolerant 10% could withstand additional heat stresses of 5.2 and 4.1°C-weeks for thermal refugia and hotspots, respectively. Our study demonstrates that hotspot reefs do not necessarily harbour more heat tolerant corals than nearby thermal refugia, and that mass bleaching patterns do not necessarily predict species responses. This nuance has important implications for designing climate-smart initiatives; for instance, in the search for heat tolerant corals, our results suggest that investing effort into identifying the most tolerant colonies within individual reefs may be warranted.

Correlation and Path Analysis in Cowpea (Vigna unguiculata (L.) Walp.)

This study, conducted at Horticultural Research Farm of Babasaheb Bhimrao Ambedkar University, Lucknow, India, over 2020-21 and 2021-22, aimed to examine coefficient of correlation and direct and indirect effects of yield contributing traits on economic yield among 30 diverse cowpea genotypes. The research employed a Randomized Block Design (R.B.D.) with three replications, assessing twenty-six quantitative traits. Genotypic correlations exceeded phenotypic correlations, underscoring genetic influence over environmental factors. Key findings included plant height's positive correlation with branches per plant and days to first flowering, while negatively correlating with nodes on main branches and pod diameter. Traits such as number of pods per plant and average pod weight showed strong positive correlations with pod yield, highlighting their importance in breeding programs. Path coefficient analysis revealed significant positive direct effects on pod yield per plant from traits including plant height, branches per plant, and average pod weight. Indirect effects through traits like days to first flowering and non-reducing sugars also contributed to pod yield. These insights into trait correlations and effects are crucial for developing superior cowpea genotypes with enhanced yield and agronomic traits. The findings emphasize the importance of genetic variability in breeding programs, enabling the selection of superior genotypes to improve cowpea productivity.

Correlation and principal component analysis of bixin content and yield-related traits in Annatto (Bixa orellana L.)

Annatto (Bixa orellana L.) is an important dye-yielding species harbouring huge variations in qualitative as well as quantitative traits. Identification of factors influencing bixin content and seed yield is an important breeding aspect, considering the economic importance of annatto for selection of elite genotypes based on morphological traits. Thirty-one trees plus were selected for the study, and sixteen quantitative traits were recorded for two years (2021 and 2022) to understand their association with bixin content and seed yield. Annatto has bivalve pods; however, trivalve pods were also observed during the study. A positive and significant association (r = 0.65) between bixin content and seed yield was observed from the correlation analysis. The study revealed that bixin content was highly correlated and influenced directly by the number of primary and secondary branches and hundred seed weight, while tree height, basal diameter, and the number of primary and secondary branches exhibit a significantly positive direct effect on seed yield, suggesting these traits as a reliable morphological marker for selecting highly productive genotypes. The thirty-one plus trees were grouped through hierarchical clustering into six clusters, with maximum bixin content and seed yield in Cluster I and Cluster III. The genotypes TNBi 0020, TNBi 0021, TNBi 0022, TNBi 0023, TNBi 0024 and TNBi 0037 can be utilized for mass multiplication and popularization for commercial cultivation of Bixa orellana.

Root system of Coffea canephora cv. Robusta genotypes cultivated in the Brazilian Amazon

The root system distribution of coffee, especially Coffea canephora cv. Robusta, remains poorly characterized. The aim of this study were: (i) to analyze the distribution of the root system in various genotypes of C. canephora cv. Robusta cultivated in the Amazon region; (ii) to evaluate genetic variability based on root traits; and (iii) to test the correlation between root traits, aboveground part, and production capacity. Roots were collected up to a depth of 60 cm and 30 cm away from the stems. The roots were washed, scanned, and processed to quantify root volume (mm3 cm−3), surface area (mm2 cm−3), diameter (mm), and length (mm cm−3). The variations in root systems reveled phenotypic variability among different genotypes of C. canephora cv. Robusta. Most roots were concentrated in the surface layer of the soil (0–30 cm), with LB015 standing out. At a depth of 50–60 cm, AS10, AS4, A106, and GJ08 had more roots than other genotypes, suggesting a promising capacity to avoid drought. There were significant negative correlations between root traits, aboveground part, and production capacity. This study provides valuable information for the selection of genotypes with desirable root traits for different environmental conditions, contributing to the improvement of management practices and breeding programs for Robusta coffee.

Deciphering the fiber quality of Gossypium barbadense L. var. brasiliensis in La Convención, Cusco, Perú

BackgroundThe quality of cotton fiber determines its value in the textile market, influencing agricultural profitability and the efficiency of textile processing. The selection of genotypes with superior fibers is a key factor for genetic improvement programs seeking adaptability and sustainability in the face of climate change. This demonstrates the strategic importance of this plant for sustainable agriculture and the global textile industry. The objective of this research was to decipher the fiber quality of Gossypium barbadense var. brasiliensis in the native Amazonian communities of La Convención, Cusco-Perú, and to evaluate other critical aspects of native cotton that have not yet been identified. The methodology included non-probability sampling for accessibility, qualitative and quantitative analyses, and multivariate analyses. The fiber length (mm), micronaire index (maturity/fineness), fiber strength (gf/tex), length uniformity index (%), fiber elongation (%), maturation index (%), and short fiber index (%) were the fiber characteristics evaluated using the HVI method in cotton genotypes.ResultsCotton accessions collected from Koribeni (Gossypium spp.) and Shivankoreni (Gossypium barbadense var. brasiliensis) stood out for their fiber quality properties, especially length, strength, and uniformity, which highlights their relevance for advanced textile applications and potential for use in plant genetic improvement programs.ConclusionThese findings reinforce the need to conserve and study these native cotton accessions from the Peruvian Amazon region, which can offer promising perspectives for the textile industry and agricultural biodiversity.

Selection of elite cross combination and genotype through genetic divergence analysis in bread wheat (Triticum aestivum L.)

Selection of elite cross combination and genotype through genetic divergence analysis in bread wheat (Triticum aestivum L.)

Empowering cotton breeding programs through the strategic exploration and exploitation of phenotypic diversity of genetic resources under climate change conditions

Plant phenotype assessment approaches have facilitated crop improvement in recent years by providing opportunities for the dissection of complex nature quantitative traits. Fiber quality and yield are significant economic traits with a complex nature mainly due to interactions between its genetic architecture and the surrounding environment. These economic traits showed stagnant performance in recent decades due to eroded genetic diversity via the selection process. It necessitates exploiting conserved germplasm resources to rebuild genetic diversity within cotton cultivars. Compared to the conventional univariate selection methods using a single trait at a time, the multivariate analysis extends its selection to multiple variables for the selection of genotypes. In evaluating a core collection of cotton over two years using various phenotyping methods, multivariate analysis, particularly principal component analysis (PCA), was employed to assess genetic diversity. The PCA analysis demonstrated substantial variability of 39.83% and 45.37% across two years, highlighting a significant impact on yield and fiber quality attributes. The cumulative eigenvalues of principal components exceeding 80% supported the classification of accessions into six distinct groups based on their trait variability. Both PCA and cluster analysis successfully categorized accessions into six groups, indicating high diversity and suggesting their potential utility in breeding programs. The diverse genotypes identified in this study would be potential resources for variety development and accelerated breeding programs, particularly focusing on stress resilience under climate change scenarios. By utilizing these diverse genotypes, there is an opportunity to enhance breeding strategies and accelerate the development of improved cotton varieties with enhanced yield and fiber quality attributes. The significance of our study lies in its demonstration of the importance of genetic diversity in improving yield and fiber quality attributes, thus underscoring its relevance to cotton breeding programs.

Использование молекулярно-генетических маркеров для идентификации генов чувствительности к фотопериоду в селекционном материале сои

Soybean is one of the important oil and forage crops. It contains large amounts of oil, protein, vitamins, and other valuable nutrients. Annually, sowing area under soybean in Russia enlarges towards central and Siberian regions. However, soybean is very sensitive to photoperiod that is a key factor in regulation of soybean growth and development. The identification of gens controlling a photoperiodic sensitivity in soybeans is important for breeding of new adaptive cultivars. DNA-markers are an effective instrument for the selection of valuable genotypes from breeding germplasm. In this work, we identified gens contributing the most of decrease in soybean sensitivity to a day length. There were estimated six cultivars, five lines F6–F7, and five hybrids F1 of soybean. We used six molecular markers. Due to results, the early maturing cultivars Elana and Barguzin had the largest amount of recessive alleles; the cultivar Mamont had the largest amount of dominant alleles that characterizes it as middle maturing. The rest samples had two or three recessive alleles and belong to maturity groups from early to middle early. The analysis of hybrid combinations showed that a molecular marker for a Е3-gen is inherited co-dominantly. This allowed using it to control transferring of desired gens at crosses in progeny. Thus, the usage of the molecular-genetic markers was effective in selection by a studied trait and can be used in the breeding process.

Влияние погодных условий на завязываемость семян рапса озимого в условиях центральной зоны Краснодарского края

The purpose of the research was to study the influence of temperature and air moisture, wind velocity, cloud coverage, and precipitation amount on seed set of winter rapeseed in the central zone of the Krasnodar region. The objects of the research were winter rapeseed cultivars Elvis, Loris, Sarmat, Selegor, and Olivin. The conditions of 2022 during flowering period were favourable. The air temperature varied from 14.3 to 18.3 °C, precipitation amounted 12.4 mm, and they did not prevent pollination. The wind velocity in average by ten-day periods was 5.1 m/sec, cloud coverage (32.2%) and air moisture (61.1%) were op-timal both for self-pollination and for pollen transfer by wind and insects. The seed set in average was 81.3%. The weather conditions of 2023 were less fa-vorable. Lowered air temperatures – from 12.2 to 16.1 °C, frequent precipitations – 40 mm, air velocity from 2.8 to 4.7 m/sec, increased cloud coverage – to 85%, and air moisture to 77.3% negatively influenced self-pollination and prevented pollen transfer by wind and insects, and thereby decreased the realization of a potential productivity by 23.9%. The cultivars Sarmat and Selegor demonstrated the highest seed set both in favorable and unfavorable conditions. The cultivar Elvis was less sensitive to weather changes during flowering. The variation of a trait of seed set in favorable conditions was insignificant (CV = 2.4–7.1%). Changing of a trait of seed set in a pod to highly variable (CV = 11.7–28.3%) in 2023 certifies the genotype selection with high seed set ability is able only in unfavorable for pollination weather con-ditions.

Performance evaluation and multivariate analysis of maize accessions against drought stress in Lamjung district, Nepal

The selection of drought-tolerant genotypes from the existing gene pool is a preliminary step for breeding for drought tolerance. Research efforts aimed at exploring the ability of crops to withstand drought stress have not yet touched the realm of reproductive drought performance of local genotypes. To examine how local crop accessions demonstrate varying reproductive performance under drought conditions, twenty accessions of maize (Zea mays L.) were evaluated for six quantitative traits in a two-factor factorial completely randomized design with two replications between February to June of 2023. All the traits under study showed significant differences among the genotypes (p < 0.05). Owing to their grain yield, ear weight, and hundred grain weight, accessions NGRC05592, NGRC05582, NGRC05564, NGRC05565, NGRC05571, and NGRC05569 performed better under drought condition than other tested accessions. Accession NGRC05592 showed the highest yield under drought condition, whereas, NGRC05573 and NGRC05576 showed poor performance. GGE Biplot analysis for grain yield revealed that NGRC05571 and NGRC05592 had the highest mean yield, with the accession NGRC05592 standing out as the stable variety under changing soil moisture levels and performing best among all the tested accessions under drought condition. The possibility of accession NGRC05592 being used as a potential genetic resource for drought breeding programs has been observed, but further studies aiming at its stability under field conditions in diverse agro-climatic regions across different years are encouraged to assure its prospect for developing cultivars suited to drought-affected regions.

Multi-model approach for optimizing cold-wave resilient maize selection: unveiling genotype-by-environment interaction and predicting yield stability

Cold waves both significantly reduce yield & damage crops as well; unforeseeable nature of cold waves makes it challenging for farmers to manage risk. Thus, we aim to select maize hybrids that thrive under cold stress (both escaping early cold-waves and tolerating cold snaps); pinpoint stable, high-yielding hybrids ideal for regions prone to cold stress. In this investigation 2 years winter trial in Nepal was appraised on diverse maize hybrids for cold wave tolerant, stable across four stations with a Randomized Complete Block Design & 3 replications at each station. Likewise, this research employed 4 statistical methods both fixed effect and linear mixed model: genotype-environment interactions (AMMI), visually analyzes genotype performance and stability across environments (GGE) breeding values of genotypes for selection (BLUP), multiple traits for selection (MTSI). This scholarship revealed significant (P < 0.001) impacts of genotype, environment, and their interaction (GEI) on yield. This GEI, accounting for 100% of yield variance, was mainly captured by 3 principal components, with the first explaining 49%. Notably, mixed-effects models and biplots identified superior hybrids exhibiting both high average yields and consistent performance. GGE biplot analysis unveiled high-yielding and adaptable: GK3157, NK6607, RMH1899 Super, GK3254, RMH666, Shan 111, DKC9149, and Sweety-1. Further, BLUP and WAASBYY analyses delineated the superior performers and stabilized hybrids for yield, with DKC9141, Uttam 121, NK6607, MM2929, RMH-666, GK 3254, and GK3157, and RMH-1899 super candidates for both high yield and stability. In Nepalgunj, Delta 3333, MM2122, and Shaan 111 excelled in both yield and stability, while Rampur favored Rampur Hybrid 6 and MM2424 for stability. Parwanipur and Tarahara shared similar winners for stability and yield, including MM2122, Shaan 111, and Delta 3333 in Parwanipur, and NK7884, MM2424, and Delta 2222 in Tarahara. Based on Multi genotype ideotype distance (MGDI), 9 hybrids were selected for yield and stability, including MM 2033, NK 6607, Sweety 1 so on; exhibited escape to cold waves whilst GK3254, TMMH-846, and MM-9442, were chosen for cold waves adapted hybrids. Moreover, by identifying cold-tolerant maize hybrids, this study has potential to mitigate risks for farmers (economic burden, crop failure) and bolster food security.

Morphological and agronomical characterization of beef type tomato hybrids

Tomato (Solanum lycopersicum L.) is one of the most important vegetable crops and agro-morphological characterization has a key role in the development of new varieties. In this study, 228 samples of the tomato hybrid type “Beef” (Solanum lycopersicum L.) were characterized by comparing with 11 standard varieties based on 24 quantitative traits and 2 qualitative traits to reveal the phenotypic diversity by using conventional descriptors proposed by IPGRI (1996) and UPOV (2011). A significant level of variability was found in most of the traits studied among the genotypes in two locations. A high level of broad-sense heritability (H2) was detected for many traits such as the number of fruits, firmness, immature fruit color, stem length up to the first inflorescence, total height, and number of days to the first flowering in both locations. There was a highly significant positive correlation among the color values (L*, a*, b*, c*, h*) but no positive correlation between a* and h*. Number of locule had a positive correlation with fruit width and fruit weight, and a positive correlation was determined between fruit length and pericarp thickness in both locations. While fruit weight had a highly significant negative correlation with the number of fruits and number of flowers, there was a highly significant negative correlation between the number of locules and the fruit length-to-width ratio in both locations. Results of PCA showed that PC1 and PC2 accounted for around 15.6% and 13.7% of total variation and 13.8% and 11.8% of total variation for Location 1 and Location 2, respectively. The first five principal components accounted for around 54.2% of the total variation for Location 1 and 48.2% of the total variation for Location 2. Cluster analysis grouped the 239 genotypes under six cluster groups for Location 1 and seven cluster groups for Location 2. Results of the cluster analysis revealed that Cluster 3 for Location 1 and Cluster 2 for Location 2 had prominent genotypes for some of the agronomically important traits like yield. The results showed that present phenotypic diversity could be useful in the selection of best-performing genotypes, which would be important candidates for the beef red tomato market in the spring season.

Effects of drought on morpho-physiological attributes and secondary metabolites of wheat genotypes: Growth traits, seed yield and stress tolerance indices

In parallel with rapid growth in human population, increasing deficiency of water for irrigation along with abruptly changing environmental conditions has increased the food insecurity problem which needs immediate attention to secure the future food security. This study aimed to identify the water stress tolerance and high yielding potential of newly developed wheat genotypes, based on agronomic, morphological and biochemical aspects, along with the stress tolerance indices (STI). These genotypes were developed through conventional breeding from a cross (Bhakkar x S-24) and named as BS following the names of the parental genotypes. The experiment comprised a total 20 newly developed genotypes and 2 parental genotypes. Split plot field experiment was conducted using reduced number of irrigations as water stress treatment. All studied genotypes exhibited distinct negative impacts of deficit irrigation with respect to various studied agronomic attributes but was genotype specific. There were genotype-specific variations to deficit irrigation, regarding leaf chlorophyll contents, water relations, membrane lipid peroxidation, as well as antioxidative defense mechanism. Under deficit irrigation genotypes BS3, BS4, BS8, BS9, and BS20 demonstrated superiority in growth and grain yield related attributes that was attributed to their effective performance in maintaining better water content through better osmotic adjustment, chlorophyll levels, as well as better defense against oxidative stress. Comparatively less reductions in growth and yield i.e 26.43 % and 30.56 %, 28.94 % and 28.01 %, 32.13 % and 30.07 %, 34.35 % and 31.36 %, and 24.14 % and 26.55 % were recorded in BS3, BS4, BS8, BS9, and BS20 respectively as compared with remaining genotypes. However, the opposite was true for genotypes BS7, BS13, BS15 followed by BS6 and BS7. Stress tolerance indices also showed the better tolerance of the genotype BS3, BS4, BS8, BS9 and BS20. In conclusion, breeding programs for the development of stress-tolerant wheat genotypes should also consider the physio-biochemical mechanisms alongside the agronomic traits. This holistic approach will contribute significantly for the selection of genotypes that exhibit resilience to water deficit stress with high yield potential.

Does the ultrasensitive HBsAg Next assay enhance Hepatitis B diagnosis? An evaluation of analytical performances

BackgroundAccurate laboratory confirmation for Hepatitis B diagnosis and monitoring are crucial. Recently an ultrasensitive immunoassay test, the HBsAg Next (HBsAgNx), has been reported approximately eight times more sensitive than current HBsAg assays. The aim of our study was to assess the analytical performances of this new test. Methodology253 clinical samples from Saint Louis University Hospital were analyzed, splitted into four panels: (1) routine prospectively screening serums (n = 196), (2) retrospective serum samples before HBV reactivation (HBV-R) (n = 18), (3) occult HBV infection (OBI) (n = 10) and (4) a selection of wild type HBV genotypes (n = 29) ResultsPanel 1, showed robust agreement with the HBsAg Qualitative II (HBsAgQII) assay (Cohen's kappa = 0.83). Despite this agreement, 7 false positive with the HBsAgQII assay were found negative with HBsAgNx. One OBI was detected only with HBsAgNx. Panel 2 showed potential time savings in diagnosing HBV-R using HBsAgNx among 4/18 HBsAg positives samples. Panel 3 highlighted the ability of HBsAgNx to detect HBsAg in OBI patients defined by negative for HBsAg with HBsAgQII assay and positive for HBV DNA. Furthermore, the HBsAgNx assay detected all different genotypes. ConclusionThe study highlights the effectiveness of the HBsAgNx assay, showing its performance. It excels in detecting weakly positive samples and addressing challenging cases. HBsAgNx assay demonstrates promising analytical performances, with improved sensitivity and specificity compared to standard HBsAgQII assay, able to detect all genotypes. Its potential impact on early detecting and monitoring reactivations, and occult infections could be very useful in clinical practice.