Promising Lines Research Articles

Evaluation of the distinct and uniformity of upland rice superior varieties candidates

Rice production needs to be increased by using new superior varieties of upland rice. Currently, 5 promising lines of upland rice have been produced through plant breeding programs. Before being registered as a variety, plant variety canadidates must have distinct and uniform criteria. This research was conducted to determine distinctiveness, uniformity and recommendations for 5 promising lines as candidates for upland rice of new superior varieties. This research was conducted from August 2022 to March 2023 at the Experimental and Research Station, Universitas Bangka Belitung. The research material consists of 5 F8 lines and 5 comparison varieties. Data analysis used the Analysis of Variance (ANOVA) followed by the Duncan Multiple Range Test (DMRT) and uniformity test. The results of ANOVA test showed were significant differences in the characters of plant height, flag leaf length, panicle length, filled grain weight per clump, and 1000 grain weight. The promising lines show distinct characteristics of seed color, plant height, number of productive tillers, and panicle length. Narrow variability values indicate a high level of uniformity with the expected lines of uniformity ranging from 88-100%. Lines 23A-56-22-20-05 (brown rice) and 23A-56-20-07-20 (white rice) with high production are recommended as candidates for new superior varieties of upland rice.

Grain Quality of Promising Oat Lines at the Final Stage of the Breeding Process in the Conditions of the Northern Trans-Urals

Grain Quality of Promising Oat Lines at the Final Stage of the Breeding Process in the Conditions of the Northern Trans-Urals

The Dynamical Hypothesis in Situ: Challenges and Opportunities for a Dynamical Social Approach to Interpersonal Coordination.

Over the past three decades, Van Gelder's dynamical hypothesis has been instrumental in reconceptualizing the ways in which perception-action-cognition unfolds over time and in context. Here, I examine how the dynamical approach has enriched the theoretical understanding of social dynamics within cognitive science, with a particular focus on interpersonal coordination. I frame this review around seven principles in dynamical systems: three that are well-represented in interpersonal coordination research to date (emergent behavior, context-sensitive behavior, and attractors) and four that could be useful opportunities for future growth (hysteresis, sensitivity to initial conditions, equifinality, and reciprocal compensation). In addition to identifying specific promising lines of theoretical inquiry, I focus on the significant potential afforded by computationally intensive science-especially in naturally occurring data or trace data. Building on the foundation laid over the past three decades, I argue that looking to increasingly situated and naturalistic settings (and data) is not only necessary to realize the full commitment to the dynamical hypothesis but is also critical to building parsimonious and principled theories of social phenomena.

Climate-oriented breeding of spring barley in arid regions

The article presents the results of the study of collection samples of spring barley. The aim of the research was to assess the prospects of breeding lines of spring barley for the agro-industrial complex of regions with different climate aridity. The studies were carried in 2011-2021 out at the Krasnokutskaya breeding experimental station (experimental field coordinates 50.914000, 47.068300, Krasnokutsky district of the Saratov region). Predecessor - fallow, accounting area of plots - 25 sq.m. During the period of study of the material, 2012, 2013, 2014, 2015 and 2018 were dry years (the total precipitation during the growing season was 42.8-50.3 mm, HTC 0.30-0.46). In 2019, spring barley crops almost died due to a severe frost in the three-leaf phase and the subsequent severe drought (only 4.9 mm of precipitation fell during the growing season, the HTC was 0.03), so data for this year are not provided. As relatively favorable, 2011, 2016, 2017, 2020 and 2021 can be distinguished (the total precipitation for the growing season is 81.0-135 mm, HTC 0.61-0.97). During 2011-2021 indicators of productivity, plasticity, stability and drought resistance of spring barley varieties bred over a 100-year period at the Krasnokutsk breeding experimental station were evaluated. It was revealed that the average productivity of barley varieties increased by 57.9%, and in the years of acute droughts it almost doubled. Analysis by the same parameters of 5 promising lines in 2017-2021. made it possible to differentiate their potential for regions with different aridity. In the zone with low aridity (more than 7 million hectares of arable land in the Right Bank of the Saratov, Penza and Samara, Volgograd, Ulyanovsk regions), the Nutans 244 and Medicum 276 lines, which are responsive to additional moisture, have the greatest potential. In areas with moderate aridity (about 10 million hectares arable land in the Lower Volga region), samples Nutans 296 and Medicum 247 will have an advantage. In areas with high aridity (more than 6 million hectares of arable land in the Left Bank of the Saratov, Volgograd, Astrakhan regions, Kalmykia), the Medicum 270 line can show high efficiency. These features will be taken into account during further transfer to variety testing.

Promising salt tolerant soybean mutants developed through gamma ray irradiation

An experiment was conducted to evaluate the performance of three promising lines along with two check varieties of soybean in respect of plant height, branches per plant, pods per plant, seeds per pod, days to maturity and seed yield, at five different locations during January to April 2022. Significant variations were observed both in individual location and combined over locations for all traits. Among the mutants, average days to maturity ranged from 109-114 days. It indicated that, all the mutant lines as well as check varieties had prolonged days to maturity, which eventually reflected significantly higher grain yield at all locations. Plant height ranged from 34-62 cm and number of branches plant-1 from 2.9 to 3.6. Mutant SBM-22 produced highest pods plant-1 (76); whereas, the check varieties Binasoybean-2 and Binasoybean-6 produced 43 Hundred seed weight was higher in Binasoybean-2 (13.4g) and lower hundred seed weight was obtained from SBM-26 (11.1g). Seed yield obtain from the mutants and checks significantly differs from each other. Mutant SBM-25 produced the highest seed yield of 2836 kg ha-1. Among the locations, all mutants as well as check varieties gave the highest seed yield at Satkhira. Comparing with imposed salinity level and time, plant height as well as leaf was decreased. All the germinated genotypes were survived at initial salinity 4 dS m-1 (though 4 dS m-1 is not at all a problem for salinity) up to 21 days. All the mutants showed moderately tolerant at same treatment up to 7 days after sowing. Binasoybean-2, Binasoybean-6 and Lokon performed well with the advancement of time. Among the mutants SBM-22 and SBM-26 will be selected on the basis of yield contributed characters for further trials. Bangladesh J. Nuclear Agric, 37(1): 101-109, 2023

Yield potency assessment and characters association of promising lines of mustard (Brassica rapa L.) in southern region of Bangladesh

Mustard (<em>Brassica spp</em>.) is a major oilseed crop and the world’s third-largest source of vegetable oil. During the rabi season of 2022–2023, the experiment was carried out at the Regional Agricultural Research Station, Bangladesh Agricultural Research Institute (BARI), Barishal, to evaluate the performance of 12 genotypes of <em>Brassica rapa</em> L., including the check variety BARI Sarisha-14. The experiment was conducted under a randomized complete block design (RCBD) design with three replications. Analysis of variance demonstrated highly significant (p ≤ 0.01) differences for the traits viz., plant height, no. of primary branches, no. of secondary branches, and no. of seeds per siliqua, whereas no. of siliqua per plant, 1000 seed weight, and yield kg per hectare had a significant difference at p ≤ 0.05. Among the examined accessions, the unweighted pair group method with arithmetic mean (UPGMA) cluster analysis identified four different clusters. Cluster II (28.91%) with only one accession had the highest average yield, followed by Cluster I (26.25%) and Cluster IV (22.68%) with the best agronomic features. Furthermore, we observed 1.6% and 11.93% greater (+) mean yield compared to the grand mean yield (1502.33 kg ha<sup>−1</sup>) for cluster I and cluster II, respectively. Correlation analysis examines the positive and highly significant association among the yield and its related traits. Principal component analysis (PCA) revealed a total proportion of variation of 54.86% for PC1 and 16.89% for PC2. The genotypes BC-100614(8)–7 gave a 7.20% higher yield than the check variety. Considering the statistical results, maturity period, yield, and yield contributing characters of <em>Brassica rapa </em>L. genotypes BC-100614(8)-7 (1681 kg ha<sup>−1</sup>), BC-100614(8)-1 (1594 kg ha<sup>−1</sup>) and BC-100614(7)-3 (1565 kg ha<sup>−1</sup>) were noted as promising lines among the evaluated genotypes and suggested for future breeding programs.

A bibliometric analysis of virtual influencers in the Web of Science

AbstractThe role of virtual influencers has risen in popularity. However, the revisions on this are scarce and incomplete. In this framework, two main objectives guide this work: (i) to carry on a performance analysis to measure the visibility/impact of the scientific production on virtual influencers’ marketing (most cited authors, journals, and themes) and (ii) to visually present the scientific structure by topics of research in virtual influencers marketing as well as its evolution along time. A final set of 1740 papers about virtual influencer marketing was retrieved from the ISIWeb of Science (from 1997 to 2021). Three different periods of time were identified (i) from 1997 to 2012 (649 papers), (ii) from 2013 to 2016 (540 papers), and (iii) from 2017 to 2021 (514 papers). Our results have identified seven promising future research lines on this topic, highlighting the role of tourism and sports celebrities.

Study of the overwintering ecology of the hazelnut pest, Palomena prasina (L.) (Hemiptera: Pentatomidae) in a perspective of Integrated Pest Management

AbstractPalomena prasina, the green shield bug (GSB), is widely distributed in the Eurosiberian region. In the Southwest of France, it is considered as a serious pest of hazelnuts, its feeding punctures lead to blank hazelnuts and kernel necrosis, causing heavy losses in commercial orchards. To date, no Integrated Pest Management strategy is available to control P. prasina. Control strategies often focus on the pests' spring–summer ecology, when they are in the field or in the vicinity of crops. However, the abundance of pest populations in crops is also related to their autumn‐winter ecology. The present work focussed on the autumn‐winter ecology of P. prasina to identify new opportunities for this pest suppression. We investigate (i) where P. prasina overwinters, (ii) if it aggregates in its overwintering sites and (iii) if it mates while overwintering. Samples were collected over a 2‐year period in different ecosystems (forests, hedges, orchards), in human‐made structures and habitats (litter, bushes/trees, dead trees). The reproductive status of GBS individuals was monitored in winter, and in spring when they emerged from overwintering sites. Our results show that 97% P. prasina adults overwinter in the leaf litter of orchards and natural ecosystems and that 70% overwinter individually. The abundance of GSB in those sites is negatively correlated with litter temperature and positively correlated with humidity levels. Furthermore, adults only mate after leaving their overwintering site. Finally, unexpectedly, there was an important number of overwintering adults hosting endoparasitoids (32%). The fact that GSB overwinters alone in the leaf litter means controlling its populations by destroying the overwintering sites is not a solution. All the same, our results point out some promising lines of research for developing methods to control P. prasina. First, the emergence traps, in particular the cone traps, proved efficient for collecting emerging adults and could be considered for monitoring. Moreover, our observations suggest the existence of long‐range mating signals that could be exploited for trapping. Last but not least, the important number of overwintering parasitised adults is a potential biocontrol avenue.

Breeding of the facultative barley varieties at the FSBSI ARC «Donskoy»

The current paper is devoted to the study of promising barley lines with an alternative type of development (facultative). Famous breeders P. F. Garkavy and V. M. Shevtsov believed that the future belonged to the facultative barley varieties, since they had high adaptive properties. Facultative varieties have several advantages, such as they can be used for early spring reseeding of sparse autumn crops of winter barley with seeds of the same variety and dead crops of winter cereals, as well as for obtaining high-quality seeds from spring sowing for autumn sowing. In connection with the above, the cultivation of facultative varieties for production is of great relevance and necessity. The purpose of the current study was to estimate new breeding material for facultative barley varieties in the conditions of the south of the Rostov region. The study was carried out in 2021–2023 in the fields of scientific crop rotation of the department of barley breeding and seed production of the ARC «Donskoy». In the first competitive variety testing there have been studied 12 promising facultative barley lines and the two currently best facultative barley varieties ‘Step’ and ‘Marusya’. There has been carried out comprehensive estimation of the studied samples based on such traits as the length of a vegetation period, resistance to lodging and damage by leaf diseases, 1000-grain weight, number of grains per an ear, number of productive stems per square meter, productivity. According to lodging resistance on average over three years, there were identified the varieties ‘Marusya’ and ‘Step’, as well as the lines Parallelum 2019, 2139, 2110, 2128, 2152, 2153 and Pallidum 2100; according to grain size the best varieties and lines were ‘Step’, ‘Marusya’, Parallelum 2141, 2110, 2128, 2149, 2152 and Pallidum 2100. The variety ‘Marusya’ and the lines Parallelum 2139, 2128, 2136, 2110, 2149, 2152, 2153 have shown the greatest productivity increase of 1 t/ha to the standard. Based on the data obtained, all studied varieties received a score based on a complex of economically valuable traits. The variety ‘Parallelum 2128’, which received the maximum number of points, was selected, and prepared for sending to the State Variety Commission of the Russian Federation for study.

Insights into ENSO Diversity from an Intermediate Coupled Model. Part I: Uniqueness and Sensitivity of the ENSO Mode

Abstract The basic dynamics of the spatiotemporal diversity for El Niño–Southern Oscillation (ENSO) has been the subject of extensive research and, while several hypotheses have been proposed, remains elusive. One promising line of studies suggests that the observed eastern Pacific (EP) and central Pacific (CP) ENSO may originate from two coexisting leading ENSO modes. We show that the coexistence of unstable EP-like and CP-like modes in these studies arises from contaminated linear stability analysis due to unnoticed numerical scheme caveats. In this two-part study, we further investigate the dynamics of ENSO diversity within a Cane–Zebiak-type model. We first revisit the linear stability issue to demonstrate that only one ENSO-like linear leading mode exists under realistic climate conditions. This single leading ENSO mode can be linked to either a coupled recharge-oscillator (RO) mode favored by the thermocline feedback or a wave-oscillator (WO) mode favored by the zonal advective feedback at the weak air–sea coupling end. Strong competition between the RO and WO modes for their prominence in shaping this ENSO mode into a generalized RO mode makes it sensitive to moderate changes in these two key feedbacks. Modulations of climate conditions yield corresponding modulations in spatial pattern, amplitude, and period associated with this ENSO mode. However, the ENSO behavior undergoing this linear climate condition modulations alone does not seem consistent with the observed ENSO diversity, suggesting the inadequacy of linear dynamics in explaining ENSO diversity. A nonlinear mechanism for ENSO diversity will be proposed and discussed in Part II.

Prediction of acute fish toxicity (AFT) and fish embryo toxicity (FET) tests by cytotoxicity assays using liver and embryo zebrafish cell lines (ZFL and ZEM2S)

Fish cell-based assays represent potential alternative methods to vertebrates' use in ecotoxicology. In this study, we evaluated the cytotoxicity of thirteen chemicals, chosen from OECD guidelines 236 and 249, in two zebrafish cell lines (ZEM2S and ZFL). We aimed to investigate whether the IC50 values obtained by viability assays (alamar blue, MTT, CFDA-AM, and neutral red) can predict the LC50 values of Acute Fish Toxicity (AFT) test and Fish Embryo Toxicity (FET) test. There was no significant difference between the values obtained by the different viability assays. ZFL strongly correlated with AFT and FET tests (R2AFT = 0.73–0.90; R2FET48h = 0.79–0.90; R2FET96h = 0.76–0.87), while ZEM2S correlated better with the FET test (48h) (R2 = 0.70–0.86) and weakly with AFT and FET tests (96h) (R2AFT = 0.68–0.74 and R2FET96h = 0.62–0.64). The predicted LC50 values allowed the correct categorization of the chemicals in 76.9% (AFT test) – 90.9% (FET test) using ZFL and in 30.7% (AFT test) – 63.6% (FET test) using ZEM2S considering the US EPA criterion for classifying acute aquatic toxicity. ZFL is a promising cell line to be used in alternative methods to adult fish and fish embryos in ecotoxicity assessments, and the method performed in 96-well plates is advantageous in promoting high-throughput cytotoxicity assessment.

Assessing the sensitivity of maize genotypes to gamma radiation for germination and physiological characteristics

To meet the rising demand for cereal-based food products, it is essential to create parent lines for hybrid development. Evaluating the sensitivity of maize genotypes to gamma rays is critical for successful mass irradiation to induce mutations. This study aimed to assess how maize genotypes respond to gamma radiation and determine an effective dosage for mutation breeding. Six maize genotypes were subjected to gamma radiation doses ranging from 0 to 750 Gy (s) 60Co. The irradiated seeds were evaluated in controlled conditions and then planted in the field for the assessment of physio-agronomic traits. The lethal dose (LD50) was established based on the germination rate of the M1 generation. Results demonstrated a decrease in germination percentage, plant height, survival rate, root length, and plant photosynthetic rate with escalating gamma radiation doses. The mean LD50, determined from the germination data, was 254.3 Gy. The radiation dosage range of 206.71–301.95 Gy proved effective in influencing both quantitative and qualitative characteristics. These findings provide valuable insights into the efficient utilization of gamma radiation in expediting the development of promising parent lines, which can be instrumental in hybridization efforts to produce superior maize varieties.

ASSESSMENT OF THE GENETIC DIVERSITY OF NEW SUGARCANE HYBRIDS USING PRINCIPAL COMPONENT AND CLUSTER ANALYSES

With a cultivated area of approximately 800 thousand hectares distributed in 15 states, sugarcane (Saccharum spp.) is one of the main crops in Mexico. Despite its socioeconomic importance, the genetic base of this crop has been reduced in recent decades, making the production system vulnerable to both biotic and abiotic stresses. For this reason, the Colegio de Postgraduados Campus Córdoba initiated a varietal selection program in 2009. In this study, morphological and agronomic attributes of 20 advanced hybrids were analyzed during the 2020-2021 and 2021-2022 growing seasons to determine genetic variability based on principal component analysis (PCA) and cluster analysis. Commercial cultivars widely planted in the area of influence of the Córdoba Campus (CP 72-2086, Mex 79-431, Mex 69-290 and Mex 05-204) were used as reference samples. In terms of agronomic indicators, most of the new hybrids showed higher averages than the commercial control cultivars. The hybrids COLPOSCCMex 09-50 and COLPOSCCMex 09-66 showed better germination capacity. The average height of the tallest milling stems was presented by the hybrids COLPOSCCMex 09-341 (318.1 cm) and COLPOSCCMex 09-93 (311.85 cm). The hybrid COLPOSCCMex 09-289 showed outstanding values for five variables: diameter (36.43 mm), °Brix (21.89 %), stem height (149.33 cm), leaf width (5.36 cm) and number of leaves (11.15). Morphological characterization was carried out according to 54 descriptors, combining categorical and continuous traits that were easy to observe, with a high degree of differentiation and low environmental influence. Principal component and cluster analyses showed the distribution of hybrids into five groups. These results show promising sugarcane lines with high yields, which can contribute to genetic diversity in agroecological zones where they can be adapted.

Breeding Cultivars for Resistance to the African Sweetpotato Weevils, Cylas puncticollis and Cylas brunneus, in Uganda: A Review of the Current Progress.

In sub-Saharan Africa, sweetpotato weevils are the major pests of cultivated sweetpotato, causing estimated losses of between 60% and 100%, primarily during dry spells. The predominantly cryptic feeding behavior of Cylas spp. within their roots makes their control difficult, thus, host plant resistance is one of the most promising lines of protection against these pests. However, limited progress has been made in cultivar breeding for weevil resistance, partly due to the complex hexaploid genome of sweetpotato, which complicates conventional breeding, in addition to the limited number of genotypes with significant levels of resistance for use as sources of resistance. Pollen sterility, cross incompatibility, and poor seed set and germination in sweetpotato are also common challenges in improving weevil resistance. The accurate phenotyping of sweetpotato weevil resistance to enhance the efficiency of selection has been equally difficult. Genomics-assisted breeding, though in its infancy stages in sweetpotato, has a potential application in overcoming some of these barriers. However, it will require the development of more genomic infrastructure, particularly single-nucleotide polymorphism markers (SNPs) and robust next-generation sequencing platforms, together with relevant statistical procedures for analyses. With the recent advances in genomics, we anticipate that genomic breeding for sweetpotato weevil resistance will be expedited in the coming years. This review sheds light on Uganda's efforts, to date, to breed against the Cylas puncticollis (Boheman) and Cylas brunneus (Fabricius) species of African sweetpotato weevil.

Molecular Variations in Rabi Sorghum Varieties Using SSR Markers

Genetic diversity was assessed for 2 popular varieties and 5 promising lines of rabi sorghum by using11 SSR markers. The marker Xiabt312 reported 100% polymorphism rate followed by Xtxp15 (85.70%) and mSbCIR300 (85.71%). The sorghum varieties studied for this analysis showed the polymorphism information content (PIC) ranged from 0.25 to 0.87 with a mean of 0.67 indicates higher diversity within them. Clustering analysis based on the genetic dissimilarity grouped the 7 lines into 2 major and 4 sub clusters and grouping was in good agreement with pedigree. Cluster II was the largest cluster with 4 genotypes followed by cluster I with 3 genotypes. The rabi sorghum genotypes viz., M35-1, RSV-1876 and RSLG-2422 were placed in cluster I and Phule Anuradha, RSV-2371, RSV-1910 and RSV-1988 placed in cluster II. Clustering based on SSR molecular profile of the genotypes shows that there is a distinct variability among the genotypes under this study. The selected markers have great potential in DNA fingerprinting in sorghum which in future could be integrated with DUS data descriptors for effective cultivar identification and differentiation.

Огляд методів та засобів відведення об’єктів космічного сміття з низьких навколоземних орбіт

The importance of the space debris problem in the today’s world is generally recognized. The number of space debris objects in near-Earth space is rapidly growing. The goal of this paper is to overview existing methods, systems, and means for space debris removal from low-Earth orbits with the aim to contribute to the solution of a topical problem of outer space utilization: the problem of space debris in near-Earth space. Space debris removal systems are under active development in the leading space countries. The overview showed that in scientific publications a great attention is paid to passive and active methods and means for space debris removal from near-Earth space. Relatively recently, a start was made on studying the feasibility of space debris removal systems using a combined method, which simultaneously uses means developed on the basis of passive and active methods. This paper considers a combined contactless space debris removal system with a service spacecraft equipped with electrojet engines and an aerodynamic compensator in the form of two plates. The combined system implements a directional deorbit of space debris objects by acting thereon with an ion beam. The proposed combined space system may be used to remove space debris from low-Earth orbits to the dense atmosphere followed by its burn-up. The combined line in the development of space debris removal systems is yet to be studied; however, its implementation would offer some advantages over active and passive methods used alone. Because of this, the development of the proposed combined space system with an aerodynamic compensator for contactless space debris removal is a promising line, which poses problems for further studie.

Integrating Association Mapping, Linkage Mapping, Fine Mapping with RNA Seq Conferring Seedling Vigor Improvement for Successful Crop Establishment in Deep Sown Direct-Seeded Rice

BackgroundOngoing large-scale shift towards direct seeded rice (DSR) necessitates a convergence of breeding and genetic approaches for its sustenance and harnessing natural resources and environmental benefits. Improving seedling vigour remains key objective for breeders working with DSR. The present study aims to understand the genetic control of seedling vigour in deep sown DSR. Combined genome-wide association mapping, linkage mapping, fine mapping, RNA-sequencing to identify candidate genes and validation of putative candidate genes were performed in the present study.ResultsSignificant phenotypic variations were observed among genotypes in both F3:4:5 and BC2F2:3 populations. The mesocotyl length showed significant positive correlation with %germination, root and shoot length. The 881 kb region on chromosome 7 reported to be associated with mesocotyl elongation. RNA-seq data and RT-PCR results identified and validated seven potential candidate genes. The four promising introgression lines free from linkage drag and with longer mesocotyl length, longer root length, semi-dwarf plant height have been identified.ConclusionThe study will provide rice breeders (1) the pre breeding material in the form of anticipated DSR adapted introgression lines possessing useful traits and alleles improving germination under deep sown DSR field conditions (2) the base for the studies involving functional characterization of candidate genes. The development and utilization of improved introgression lines and molecular markers may play an important role in genomics-assisted breeding (GAB) during the pyramiding of valuable genes providing adaptation to rice under DSR. Our results offer a robust and reliable package that can contribute towards enhancing genetic gains in direct seeded rice breeding programs.

Selection of drought-tolerant rice genotypes under cajuput (Melaleuca cajuputi subsp. cajuputi) agroforestry system

Abstract. Taryono, Supriyanta, Wulandari RA, Nurmansyah, Ambarwati E, Arsana IGKD, Aristya VE, Purba AE, Aisya AW, Alam T. 2023. Selection of drought-tolerant rice genotypes under cajuput (Melaleuca cajuputi subsp. cajuputi) agroforestry system. Biodiversitas 24: 4791-4802. Rice production can be increased by expanding rice cultivation area on agroforestry land. However, planting rice in agroforestry system, which is generally rainfed, might cause drought stress and eventually can reduce rice yields. The study aimed to select rice genotypes under drought stress conditions in a rainfed agroforestry system with cajuput or kayu putih (Melaleuca cajuputi subsp. cajuputi Powell). Ten promising rice lines and four control cultivars were grown during the dry season from March-July 2022 at the Menggoran Forest Management Resort, Playen Forest Section, Yogyakarta Forest Management, Indonesia. The observation was conducted on drought stress tolerance (sensitivity and recovery), molecular identification, and yield of rice cultivars. The results showed that G5 was the genotype with drought tolerance and had the best recovery compared to the other promising rice lines and control cultivars. The molecular identification of the 14 rice genotypes using 20 SSR markers detected 108 alleles with a PIC value of 0.707. The G5, G4, and G9 had higher yields than the control cultivars. The BLUE showed that the yield of G5, G4, and G9 were 6.59, 5.93 and 5.50 tons ha-1, respectively, while for BLUP by 6.45, 5.87 and 5.43 tons ha-1, respectively. Furthermore, there were four clusters consisting of cluster 1 (G9), cluster 2 (G7), cluster 3 (G5 and Inpago 12), and cluster 4 (Inpari 42, G6, Inpari 30 Ciherang Sub 1, Situ Bagendit, G3, G4, G10, G2, G1, and G8). The findings of this study recommend G4, G5, and G9 as promising rice lines which tolerant to drought stress under M. cajuputi agroforestry system and can be utilized in future plant breeding programs.

ENDOMETRIOSIS ASSOCIATED INFERTILITY: VERSIONS AND COUNTERVERSIONS

Reproductive disorders rank as rather challenging problems in modern gynecology. At present, there is no unequivocal opinion and unified approaches to endometrial receptivity. The change in this complex process causes implantation disorders. The article provides up-to-date information on the molecular and genetic characteristics of the endometrium and on endometrium receptivity models. It also touches upon the pathogenesis of female infertility, associated with external genital endometriosis (EGE).
 Numerous foreign and domestic articles consider gene expression in endometriosis. According to the published data, the number of differentially expressed genes in endometriosis varies significantly. It has been proven that if mutations occur in a single gene, its function can still be performed due to compensatory mechanisms. Such compensation is provided by the work of signaling pathways – cascades of protein-protein interactions that transmit signals inside the cell. It is known that the degree of activation of intracellular signaling pathways is a better marker of a pathological process than gene expression.
 Comparison of eutopic and ectopic endometrium is one of the promising lines of endometriosis research. It is revealed that the abovementioned endometrial samples are similar in morphological characteristics, but this fact has not led to the creation of a single diagnostic test. Thus, it is relevant to search for new statistically valid criteria for early diagnosis of endometriosis using minimally invasive or non-invasive research methods that would also allow predicting the disease recurrence and improve the quality of predicting endometriosis associated infertility.

Multi-criteria optimization for sustainability-based design of reinforced concrete frame buildings

This paper implements the multi-criteria design optimization of three-dimensional reinforced concrete frame building structures, considering aspects such as the realistic design of the elements, including foundations within the structural assembly, or considering the soil-structure interaction. The criteria for a more comprehensive sustainable approach are related to environmental, constructive, and durability aspects. The environmental factor is measured through CO2 emissions, considering its capture due to concrete carbonation. The use of multi-objective strategies is evident in solving the multi-criteria problem. Still, it is also proposed to formulate this problem with a single function containing all the criteria to solve it as a single-objective optimization problem. Strategies are also offered to perform multi-objective optimization based on Kriging metamodels. Several alternatives for multi-criteria decision-making are explored. The results show that multi-objective metamodel-based optimization is a good strategy for solving this problem. Alternatively, the results of the single-objective optimization of the multi-criteria problem are very satisfactory. The solutions obtained are analyzed according to the type of optimization and the decision-making criteria. Optimized solutions significantly improve the sustainability indexes compared to traditional design. Multi-criteria optimization contributes significantly to achieving these indexes. Therefore, the proposed methodology allows for the sustainable design of any reinforced concrete frame structure. It highlights the importance of integrating more encompassing formulations and advanced optimization techniques into traditional design procedures to adopt cleaner production practices in the construction sector. Finally, several promising lines of research are presented.