Stability Of Variety Research Articles

Catiknifap, new native variety of Xcat ik pepper (Capsicum annuum L.)

O Objective: To describe the morphological and agronomic characteristics of Catiknifap, a native variety of the Xcat ik pepper. Design/Methodology/Approach: Catiknifap was formed by mass selection method from a P108 accession collected in 2013 in Muna, Yucatan. Characterization and yield trails were carried out in greenhouse during three cycles from 2021 to 2022. Forty-five characteristics were evaluated based on UPOV guidelines. Results: Catiknifap is an early-ripening variety. Its fruits ripen between 77 and 81 days after transplanting. Its main morphological characteristic is the rounded shape at the junction with the peduncle. The yield depends on the growing season and ranges from 32.3 to 42.3 t ha-1. Study Limitations/Implications: Assays were carried out in greenhouses. Pests and diseases may cause differences in open field yield. Findings/Conclusions: Catiknifap is the first morphologically characterized variety of Xcat ik pepper. The fruits of this homogenous and stable variety have a high yield potential in Yucatan.

Application of univariate, multivariate, and mixed models to the stability analysis of Ethiopian tetraploid wheat cultivars under irrigation condition

AbstractThe testing of durum wheat (Triticum turgidum subsp. durum) varieties in different irrigated environments is critical for determining the stability of their performance and adaptation. In this study, 12 popular and newly developed durum wheat varieties were examined in eight irrigated locations with the purpose of investigating genotype–environment interaction and their effect on Ethiopian tetraploid wheat yield stability across diverse environments. The field experiment has two replications with a randomized complete block design. Multivariate (analysis of variance, additive main effect and multiplicative interaction [AMMI], and genetics, genetics × environment [GGE] biplot) and univariate (bi [regression coefficient], S2d [deviation from regression], σi2 [Shukla's stability variance], Wi2 [Wricke's ecovalence], YSi [yield stability statistic], and CVi [coefficient of variance]) analysis methods were used to identify stable varieties. The AMMI analysis showed that the genetic × environmental interaction was highly significant (p > 0.01), while the genotype and environment variation were not significant. The first two principal component axes (IPCA1 and IPCA2) were highly significant (p > 0.01) and contributed 79% of the total GE interaction. Univariate statistical models indicate that Bulala is a stable, high‐yielding variety that can adapt to various environments. GGE biplot analysis revealed that the eight test environments were clustered into three mega‐environments, ranked Bulala as the most stable variety across diverse environments. The results of the combined mean analysis, multivariate and univariate models revealed that Bulala is a high yielder (3.46 tons ha−1) and stable variety across all test environments, while Mukiye variety has a high yield (3.43 tons ha−1) but is not as stable or adaptive to multiple locations. As a result, Bulala was recommended for further demonstration and popularization in test locations and places with similar agroecologies under irrigation.

Multimodal Temperature Readout Boosts the Performance of CuInS2/ZnS Quantum Dot Nanothermometers.

Fluorescent nanothermometers are positioned to revolutionize research into cell functions and provide strategies for early diagnostics. Fluorescent nanostructures hold particular promise to fulfill this potential if nontoxic, stable varieties allowing for precise temperature measurement with high thermal sensitivities can be fabricated. In this work, we investigate the performance of micelle-encapsulated CuInS2/ZnS core/shell colloidal quantum dots (QDs) as fluorescent nanothermometers. We demonstrate four temperature readout modes, which are based on variations in the photoluminescence intensity, energy, and lifetime and on a specific ratio of excitation efficiencies. We further leverage this multimodal readout to construct a fifth, multiparametric thermometer calibration based on the multiple linear regression (MLR) model. We show that the MLR approach boosts the thermometer sensitivity by up to 7-fold while reducing the readout error by about a factor of 3. As a result, our QDs offer the highest sensitivities among semiconducting QDs emitting in the first biological window. The obtained results indicate that CuInS2/ZnS QDs are excellent candidates for intracellular in vivo thermometry and provide guidelines for further optimization of their performance.

Н.И. Воробьев и его роль в формировании академического татароведения в отечественной этнологии

The most important role in the formation of academic Tatar studies in domestic ethnology belongs to the outstanding scholar of the early-mid 20th century, Professor N.I. Vorobyev. With his works, he laid the foundations for a systematic approach to the study of the culture and life of the people, especially the reference group of the ethnic group – the Kazan Tatars. The use of data from related historical and geographical disciplines allowed him to pose and solve a number of important questions in the ethnic and ethnocultural history of the people. In his landmark monograph The Kazan Tatars (1953), special attention is given to their close root connection with the local Bulgarian civilisation – the ethnocultural prehistory of the people. The systematic approach consisted of the creation of N.I. Vorobyev’s first ethnocultural differentiation of the Volga-Ural Tatars, which was based on the cultural, everyday and linguistic differences within the ethnic group studied at that time. It was also manifested in the application of typological approaches to the classification of ethnographic material, which allowed him to present stable varieties of material culture (types) in dynamics, to outline analogues for them in other neighbouring and distant ethnic groups of Eurasia, and thereby to resolve a number of issues related to the cultural genesis of the people. The systematic approach was applied and improved in the research and scientific and organizational activities of his students and followers, including the authors of the volume “Historical and ethnographic atlas of the Tatar people”. Fundamental works of N.I. Vorobyev on the ethnography of the Volga-Ural Tatars laid the foundation for the formation of the Turkic-Tatar vector of academic ethnology in the Volga-Ural region of Russia. They are an invaluable resource for current and future generations of researchers.

Identification of high-yielding and stable cultivars of wheat under different sowing dates: Comparison of AMMI and GGE-biplot analyses

Evaluating the adaptability and yield stability of wheat varieties across different sowing dates is crucial for the success of breeding programs. In this study, we used Additive Main Effects and Multiplicative Interactions (AMMI) and Genotype × Genotype–Environment (GGE) biplot analyses to evaluate the performance of 13 wheat varieties across eight sowing dates. The main objective was to compare varieties and sowing dates to identify the most stable varieties for cultivation. Both AMMI and GGE biplot analyses showed significant effects of genotype, environment and genotype-environment (GE) interaction on grain yield. The interaction patterns identified by AMMI and GGE-biplots categorized Mihan, Oroom and Pishgam as the most stable, high yielding and early maturing wheat varieties. Furthermore, while the GGE biplot method proved to be more efficient than the AMMI model for stability analysis, our results indicate considerable overlap between the results of these two approaches. These results provide a valuable basis for optimizing genetic improvement strategies in wheat breeding programs.

Genotype x environment interaction and yield stability of soybean (Glycine max l.) genotypes in multi-environment trials (METs) in Nigeria

Genotype × environment interaction (GEI) poses a critical challenge to plant breeders by complicating the identification of stable variety (ies) for performance across diverse environments. GGE biplot and AMMI analyses have been identified as the most effective and appropriate statistical techniques for identifying stable and high-performing genotypes across diverse environments. The objective of this study was to identify widely adapted and high-yielding soybean genotypes from Multi-Locational Trials (MLTs) using GGE and AMMI biplot analyses. Fifteen IITA-bred elite soybean lines and three standard checks were evaluated for stability of performance in a 3 × 6 alpha lattice design with three replications across seven locations in Nigeria. Significant (p < 0.001) differences were detected among genotypes, environments, and GEI for grain yield, which ranged between 979.8 kg ha−1 and 3645 kg ha−1 with a mean of 2324 kg ha−1. To assess the stability of genotypes, analyses were conducted using the general linear method, GGE, and the Additive Main Effect and Multiplicative Interaction (AMMI) approach, as well as WAAS and ASV rank indices. In the GGE biplot model, the first two principal components accounted for 67.4 % of the total variation, while in the AMMI model, the first two Interaction Principal Component Axes (IPCA1 and IPCA2) explained 73.20 % and 11.40 % of the variation attributed to genotype by environment interaction, respectively. GGE biplot identified G10 and G16 as the most stable and productive genotypes, while WAASB index revealed G16, G10, G9, G4 and G2 as the most adaptive, stable and productive genotypes across locations, and ASV identified G9, G13, G4, G14 and G10 as the most stable and productive.Consequently, genotypes G2, G4, G9, G10 and G16 displayed outstanding and stable grain yield performance across the test locations and are, therefore, recommended for release as new soybean varieties suitable for cultivation in the respective mega environment where they performed best. More importantly, the two genotypes are recommended for recycling as sources of high-yield and yield stability genes, and as parental lines for high-yield and stable performance for future breeding and genomic selection.

Evaluation of Recently Released Finger Millet Varieties for Their Adaptability in West Haraghe Zone, Eastern Ethiopia

Finger millet is a major grain crop in the west hararghe zone. However, due to major constraints like lack of improved varieties and drought, the productivity is by far lower than the genetic potential of a crop in the study areas. Thus, current study initiated to obtain high-yielding and stable varieties. The study was conducted in districts of Habro, Mechara, and Gamachis of the west hararghe zone, using eight improved and one standard check finger millet varieties at 2020 main cropping seasons. The experiment was laid down in a randomized completely block design with three replications. Analysis of variance for grain yield across locations showed significant differences at p&amp;lt; 0.05. Further analysis of AMMI indicated that environments, varieties, and their interaction effects were significantly different. Even if, tested materials showed a significantly different grain yield across locations nevertheless, the GGE bi-plot analyses implied relatively high yielding and consistent across environments for varieties Bako-09, Gudetu, and Addis-01. Therefore, these varieties of finger millet were recommended for further evaluation at the farmer’s field.

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.

Heavy ion beams and gamma rays induce biological changes and flavonoid accumulation in Astragalus mongholicus Bunge

Astragalus mongholicus Bunge (A. mongholicus) is a perennial herb in the Fabaceae family. Its dried rhizome has been used in clinical practice in China for more than 2000 years. However, the limited germplasm resources and unstable quality of A. mongholicus have limited its large-scale cultivation and wide application. Therefore, there is an urgent need to breed stable varieties. At present, heavy ion beams (HIBs) and gamma rays are important mutagenesis tools applied in medicinal plants. The aim of this investigation was to assess the effects of various doses (0, 50, 100, 200, and 400 Gy) of HIBs and gamma rays on the development, physiological reaction, and secondary metabolite accumulation of A. mongholicus. The findings indicated that the LD50 of the A. mongholicus seeds to HIBs and gamma rays was 200–250 Gy and 400 Gy, respectively. As the radiation dose increased, there was a subsequent increase in the inhibition of seedling height, plant diameter, and number of branches and leaves, as well as a decrease in the chlorophyll a, b, and carotenoid contents of leaves. Additionally, the chlorophyll fluorescence parameter NPQ and flavonoid contents (total flavonoids, Calycosin-7-glucoside, Calycosin, Ononin, and Methylnissolin-3-O-glucoside) were also affected, which resulted in a distinct decrease in Y(II) values and diverse levels of elevation in leaf MDA content, SOD, and POD activities. Differently, CAT activity was substantially reduced, except for 50 Gy HIBs irradiation. Overall, upon the same dose of the two radiation qualities, HIBs had a stronger inhibitory effect on the growth of Astragalus seedlings, but less effect on antioxidant enzymes and physiological responses. There was no difference between two radiation qualities in increasing trend of flavonoid composition. The present study showed that HIBs is more beneficial for A. membranaceus mutation breeding research and would be promising tool for A. mongholicus mutation breeding.

Evaluation of sugar beet (Beta vulgaris L.) cultivars for some biochemical and agronomic traits under drought stress

This experiment aimed to evaluate quantitative and qualitative characteristics, tolerance to water deficit, and stability of white sugar in sugar beet cultivars. The experimental design was a split plot based on a randomized complete block design with three replications, where the irrigation levels (normal and water shortage) were assigned to the main plots and 18 sugar beet cultivars were assigned to the subplots. The result revealed that Palma achieved the maximum root and white sugar yield under normal and water deficit; furthermore, the highest indices of YP, YS, MP, STI, HM, YI, DI, REI and MRP belonged to the Palma cultivar. The results of the AMMI analysis based on white sugar yield showed that the additive effects of genotype and environment and the multiplicative effect of G×E accounted for 75.52, 17.05 and 6.76 % of the total data variance. Based on AMMI stability value, the Delta, Pars, Paya and Novodoro cultivars were recognized as stable varieties. Also, the first 2 significant components of the interaction effect (G×E) accounted for 99.12 % of interaction effects variation. Based on the biplot results of the first 2 significant components against white sugar yield, Azare and Merak were the appropriate cultivars. Finally, Based on the multi-trait stability index, Azara, Novodoro and Merak cultivars were selected as stable genotypes. In 2 years and 2 conditions, the Palma cultivar was identified as a cultivar with high yield and drought tolerance and low stability and the Merak cultivar was identified as a cultivar with white sugar yield and acceptable stability.

Foliar uptake screening: A promising strategy for identifying wheat varieties with low lead accumulation

Lead (Pb) contamination in wheat grain is of great concern, especially in North China. Atmospheric deposition is a major contributor to Pb accumulation in wheat grain. Screening low Pb accumulating wheat varieties has been an effective method for addressing Pb contamination in wheat grain. However, identifying wheat varieties with low Pb accumulation based on foliar uptake of atmospheric Pb has been neglected. Therefore, two field trials with distinct atmospheric Pb deposition were conducted to screen for stable varieties with low Pb accumulation. It was verified that YB700 and CH58, which have high thousand-grain weights and stable low Pb accumulation in field 1 (0.19 and 0.13 mg kg−1) and field 2 (0.17 and 0.20 mg kg−1), respectively, were recommended for cultivation in atmospheric Pb contaminated farmlands in North China. Furthermore, indoor experiments were conducted to investigate Pb uptake by the roots and leaves of different wheat varieties. Our findings indicate that Pb accumulation in different wheat varieties is primarily influenced by foliar Pb uptake rather than root Pb uptake. Interestingly, there was a positive correlation (p < 0.05) between the Pb concentrations in leaves and the stomatal width and trichome length of the adaxial epidermal surface. Additionally, there is a positive correlation (p < 0.01) between the Pb concentration in the wheat grain and trichome length. In conclusion, the screening of wheat varieties with narrower stomatal widths or shorter trichomes based on foliar uptake pathways is an effective strategy for ensuring food safety in areas contaminated by atmospheric Pb.

Influence of Genotype × Environment Interaction on Yield Stability of Maize Hybrids with AMMI Model and GGE Biplot

Maize yields perform differently in different environments, so the selection of suitable genotypes in diverse environments is essential for variety selection to enable better site-specific planting. Hence, the objective of the study was to estimate the productivity of 11 maize hybrids (G) in 10 different environments (E) and select high-yield and stable varieties for adaptive cultivation in 2022 and 2023. The combined analysis of variance showed that G (4%), E (50%), and their interaction (31%) had a significant effect (p &lt; 0.01) on maize yield, with E factors contributing the most. In addition, the average yield ranged from 9398 kg/ha to 10,574 kg/ha, and ZF-2208 and DY-519 performed relatively well in both years. The AMMI model showed that the varieties DY-213, DY-605, and DY-519 had high and stable production in 2022, whereas it was ZF-2209 and LX-24 in 2023. The “W-W-W” biplot showed that DY-519 and JG-18 were the optimal varieties in 2022, and ZF-2208 and ZF-2210 were optimal in 2023. The “mean vs. stability” biplot indicated that JG-18, DY-605, and DY-213 (in 2022) and ZF-2208, LX-24, and ZF-2209 (in 2023) were the optimal varieties. Additionally, both the discrimination and representative biplot and the ranking biplot reflected that BinChuan and ShiDian (in 2022) and GengMa and YongSheng (in 2023) were the ideal test environments. In conclusion, DY-519, DY-605, ZF-2208, and LX-24 hybrids could be used for variety promotion. Moreover, BinChuan, ShiDian, GengMa, and YongSheng were the ideal test environments for selecting varieties. Therefore, the AMMI model and GGE biplot can be used to complement each other for a comprehensive evaluation of maize yield. In this way, excellent maize hybrids with high yield and stability can be selected, which could promote the selection and popularization of varieties and shorten the breeding process.

Marker assisted breeding of Sub1 introgressed rice (Oryza sativa L.) lines and identification of stable variety MTU 1232 suitable for flood prone ecosystem

The Development of flood-tolerant rice varieties is a prerequisite for climate resilience in flood-prone areas. The present study aimed to develop a stable, high, yielding, and tolerant rice variety against flash floods and stagnant flooding across multiple environments. Sub1A was incorporated into a popular rice variety MTU 1075 using Swarna-sub1 as a donor to generate BC3F5 families. Sub1BC2 was used as a foreground marker for selection, a proxy for the Sub1A gene. RM23865 and RM464 on Chromosome 9 were used as recombinant markers. Backcross families from the BC3F2 generation were evaluated under two weeks of flash floods 15 days after transplanting. This was followed by stagnant flooding and survived BC3F4 families were used for background selection using a 50K high-density SNP chip. The nine best families identified were included in the field trial evaluation under eight environments. Consequently, MTU Rice 1232 was identified as a high-yielding, flood-tolerant rice variety using Additive Main effects and Multiplicative Interaction stability analysis. The MTU Rice 1232 ranked first by the Best linear unbiased prediction (BLUP) based ranking parameters and 4th based on stability parameters ranking. This flood-tolerant rice variety can tolerate both flash floods and stagnant flooding and possesses an 80% survival rate. It has a yield potential of 3792 Kg ha-1 under severe floods and 6000 Kg ha-1 under normal conditions.

Stability pattern and simultaneous selection for the stable essential oil-yielding genotypes of basil

Basil leaves are used to make a tea that promises to assist with vomiting, rheumatic pain, and loose motions. It includes a high concentration of antioxidants, which may increase longevity and health. The current study aims to assess the consistency, stability, and recommendations for producing essential oils from commercial genotypes and cultivars. To investigate genotype stability, field experiments were conducted in a semi-arid tropical climate in an RBD and replicated three times over three years in 2017, 2018, and 2019, at the CIMAP, RC, Hyderabad, south India. Each of the thirteen economic variables exhibited substantial diversity. In a three-year experiment, the stability of 20 basil genotypes was studied. There have been very few studies on the genotype and environmental interactions, stability, and diversity of basil. Nonetheless, no simultaneous assessments, stability, or reliability analyses have been performed in a multi-environment essential oil yield study on basil. According to the AMMI model, genotypes OC-6 and 8 for oil yield and OC-6 and 10 for linalool (%) were the most adaptable and stable varieties because they could withstand a wide range of environmental conditions. This leads to the conclusion that the most stable genotypes for linalool content (%) and essential oil production are OC-6, OC-8, and OC-10, all of which provide excellent yields. As a result, it is suggested that these genotypes and cultivars be commercialized.

Characterization of phenotypic traits associated with anthracnose resistance in selected common bean (Phaseolus vulgaris L.) breeding material

Anthracnose caused by Colletotrichum lindemuthianum is the major common bean disease worldwide causing complete yield loss under favourable disease conditions. This study aimed to determine phenotypic traits associated with anthracnose resistance for future use in breeding programmes. Twenty-two common bean varieties (CBVs) were selected basing on susceptibility to anthracnose, advanced breeding lines, improved variety resembling advanced breeding lines and the farmer variety widely grown in Tanzania. Selected varieties were planted in anthracnose hotspot fields and the same CBVs were planted in a screen house to validate resistance to anthracnose. Anthracnose infection score, leaf length, leaf width, length of fifth internode, length of petiole, plant vigour, canopy height and canopy width were recorded. Data on number of plants emerging; days to flowering; days to maturity; plant stands at harvest; and grain yield were also collected and analysed using R software. Phenotypic traits evaluated differed significantly among genotypes, environment and genotype by environment interaction. Seventy-five percent of phenotypic traits evaluated were positively correlated to anthracnose resistance.Highly-strong correlations to anthracnose were observed on number of days to maturity, plant stands at harvest, plant vigour and grain yield. Leaf length, leaf width, length of fifth internode, length of petiole and number of stands emerging were strongly correlated to anthracnose resistance. Additive main effects and multiplicative interaction analysis (AMMI) revealed highest contribution of environment on anthracnose infection-58.9% and grain yield −84.9% compared to genotype effects on anthracnose infection −32.7% and grain yield-15.7%. Based on these results, four traits – plant vigour, number of days to maturity, number of plant stands at harvest and grain yield – are recommended for selecting anthracnose-resistant varieties. NUA 48, NUA 64 and RWR 2154 were superior varieties, resistant to anthracnose and high yielding, while Sweet Violet and VTT 923-23-10 were most stable varieties across environments. Further on-farm research is suggested to assess their performance and identify traits preferred by farmers.

Effects of Conservation Tillage Method, Phosphorus Level, and Variety on Soil Organic Carbon and Cowpea Performance at Minna in Nigeria’s Southern Guinea Savanna

The study was carried out at the Teaching and Research Farm of the Federal University of Technology Minna, Gidan Kwano Campus in Latitude 9° 41' N, Longitude 6° 31' E, and Altitude 258.5 m above sea level. This study was conducted across 2 seasons within the cropping season of 2017 to determine the effects of tillage method, phosphorus level, and cowpea variety on soil organic carbon and cowpea performance in Minna. The experiment was therefore a 3x3x3 factorial arrangement in a split-plot design with tillage methods (zero, reduced, and manual ridging) and cowpea varieties (IT93K-452-1, IT99K-573-1-1, and IT90K-277-2) forming the main plot while phosphorus levels (0 P kg ha-1, 30 P kg ha-1, and 60 P kg ha-1) formed the sub-plot with 3 replicates. Results obtained revealed that soil organic carbon was not significantly affected by tillage method and phosphorus level alone, regardless of the planting season. Cowpea variety alone significantly affected organic carbon only in the late planting season. Zero tillage, 60 kg P ha-1, and IT93K-452-1 produced the highest soil organic carbon content, respectively. In the early season, N fixed was highest (0.98 g plant-1) when cowpea was fertilized with 60 Kg P ha-1 under zero tillage. The closest to this value (0.92 g plant-1) was recorded in the late season when 60 kg P ha-1 was supplied to cowpea under manual tillage. Regardless of the planting season and varietal difference, cowpea recorded the highest N fixed when fertilized with 60 kg P ha-1. Across varieties, cowpea fixed more N under zero tillage than the other tillage methods, especially in the early season. In the late season, only IT90K-277-2 fixed N (0.49 g plant-1) under zero tillage that was statistically not different from the highest N fixed due to manual tillage of soil under the cultivation of IT93K-452-1 and IT99K-573-1-1 (0.62 g plant-1, respectively). In the early season, IT99K-573-1-1 cultivated under zero tillage produced the highest grain yield (404.11 kg ha-1). Fodder yield followed a different trend compared to grain yield. In the early planting season, cowpea fertilized with 60 kg P ha-1 produced the highest fodder yield, while in the late season, the application of 30 kg P ha-1 produced the highest fodder yield. Regardless of the planting season, grain yield was highest when IT99K-573-1-1 was fertilized with 60 kg P ha-1. Averagely, soil organic carbon content, N fixed, and grain yield values were highest during the late planting than the early planting season. The reverse was, however, the case for fodder yield, seedling emergence, root length, root, and shoot biomass, respectively. For the best performance in cowpea production, farmers are encouraged to plant IT99K-573-1-1 on zero-tilled soil with phosphorus application at the rate of 60 kg ha-1. IT90K-277-2, which is the most genetically stable variety across seasons, will be most ideal in controlling negative climate change and should therefore be considered for further investigations.

Unravelling the dynamics of genotype and environment interactions on chilli (Capsicum annuum L.) yield-related attributes in soilless planting systems

Evaluation of genotypes to identify high-yielding and stable varieties is crucial for chilli production sustainability and food security. These analyses are essential, particularly when the breeding program aims to select lines with great adaptability and stability. Thirty chilli genotypes were evaluated for yield stability under four soilless planting systems viz; fertigation, HydroStock (commercial hydrogel), BioHydrogel (biodegradable hydrogel), and hydroponic to study the influence of genotype by environment interaction. The research used a split-plot randomized complete block design (RCBD) with two cropping cycles and five replications. The GGE biplot analysis was employed to assess the mean versus stability perspective in explaining the variation in genotypic and genotype-by-environment effects on the yield-related attributes for yield per plant, fruit number, fruit length, and width. Stability analysis denoted genotypes G26 and G30 as the most stable for yield per plant, while G16, G22, and G30 were stable for the number of fruits per plant. Among the four planting systems evaluated, HydroStock and BioHydrogel outperformed the others in yield per plant, demonstrating the highest level of informativeness or discrimination. These findings offer critical insights for future crop breeding programs and the optimization of agricultural practices.

OAT ADAPTABILITY TO ENVIRONMENTAL VARIABLES AND TECHNOLOGICAL FACTORS

Global climate changes cause the acceleration of environmental factors changes - temperature, unevenness of precipitation, drought, which has a significant effect on the yield. Food systems need expanded species biodiversity that are multifunctional in use and sufficiently tolerant to growing conditions. One of these cultures is oats which extremely valuable in human nutrition and provision fodder base. The purpose of the research is to establish the adaptability of oat varieties sowing under variable conditions of nutrition, thermal regime and moisture supply during the years of research. Field research with oat varieties was conducted during 2021-2023 in the stationary experiment of the Plant Breeding Department of the National University of Life and Environmental Sciences of Ukraine in a separate subdivision "Agronomic Research Station" (Pshenychne village, Fastivskyi district, Kyiv region ) on typical low humus chernozems. Varieties of oats vary in terms of adaptability due to genetic and environmental characteristics and technological factors of cultivation. The analysis of environmental factors was carried out - thermal units accumulation, sums of active and effective temperatures, GTK for biologically active minima at the level +5C and +10C. It is proved that the ecological factors characteristic for growing oats are used for calculation indicators for the biological minimum of +5С. Sums of thermal accumulation units for the period March - July on average for the years 2021 - 2023 was 2229.7; active temperatures for a biologically active minimum of +5С –2004.2; active temperatures for biologically active minimum +10С–1768.5; effective temperatures for a biologically active minimum of +5С–1361.5; effective temperatures for the biologically active minimum +10C–797.1C. The adaptability of varieties was identified through their plasticity and stability. The plasticity of the varieties increased with an increase of macronutrients in combination with sulfur. Highly plastic and stable varieties are Ivory, Zubr, Legin Nosivskyi - the coefficient of plasticity is equal or exceeds 1 for all fertilizing systems. The Ivory variety is high plastic and stable and responds positively to improvement of nutrition conditions: coefficient of plasticity - 1.00 - 1.32, coefficient of stability - 0.00 - 0.037. The Neptune variety is low-plastic and unstable for almost every rates of fertilizers, except for combinations with sulfur. For the Svitanok variety was established a positive reaction to increasing the rates of macroelements in combination with sulfur - the plasticity coefficient increased from 0.65, the stability coefficient from 0.015 in the control variant to 1.70 and 0.018, respectively, for the introduction N120P120K120S45+N30. There was a similar reaction for the Zakat variety - coefficient increased from 0.86 in the control version to 1.44 with applying N120P120K120S45+ N30.

THE STRUCTURE OF THE WORLD COLLECTION OF WINTER SOFT WHEAT IN TERMS OF DISEASE RESISTANCE IN THE SOUTHERN FOREST-STEPPE OF UKRAINE

To prevent crop losses from pathogens, new varieties with a broad genetic basis of group resistance should be introduced into the production process. The purpose of research was to describe the collection of soft winter wheat in terms of resistance to the most common diseases in the conditions of the southern forest-steppe of ukraine. 1406 samples of soft winter wheat (Triticum aestivum L.) From 33 countries were taken for research. The significant influence of the amount of precipitation and the level of hydrothermal coefficient (HTC) on the indicator of the number of susceptible samples of wheat to specific pathogens of soft winter wheat was established. Selection work has significantly influenced the creation of more stable varieties in recent years compared to the 70's of the twentieth century. The method of remote hybridization using foreign genes helps to obtain lines more resistant to specific pathogens of soft winter wheat. Creating a special collection of samples resistant to the most common diseases of soft winter wheat allows you to systematize the selection of parental lines on specific grounds.

AMMI and GGE analyses of linseed (Linum usitatissimum L.) genotypes for stability in the north-west Himalayan region of India

Thirty linseed genotypes were assessed across 3 locations during 2019-20 using AMMI and GGE models. AMMI revealed significanteffects for genotype (16.16%), environment (57.39%), and G × E interaction (26.05%). GGE identified Palampur and Kangra as idealmega-environments, with Dhaulakuan as a representative testing environment. KL-322, JRF-4, KL-325, KL-314, and Ayogi were identifiedas stable genotypes based on AMMI stability parameters, while KL-315 and Nagarkot exhibited high yield according to GGE. Thesepromising genotypes warrant further testing and potential release as stable varieties for targeted agricultural regions.