Grain Yield Research Articles

Enhanced radiation use efficiency and grain filling rate as the main drivers of grain yield genetic gains in the CIMMYT elite spring wheat yield trial

Common wheat (Triticum aestivum L.) is a major staple food crop, providing a fifth of food calories and proteins to the world’s human population. Despite the impressive growth in global wheat production in recent decades, further increases in grain yield are required to meet future demands. Here we estimated genetic gain and genotype stability for grain yield (GY) and determined the trait associations that contributed uniquely or in combination to increased GY, through a retrospective analysis of top-performing genotypes selected from the elite spring wheat yield trial (ESWYT) evaluated internationally during a 14-year period (2003 to 2016). Fifty-six ESWYT genotypes and four checks were sown under optimally irrigated conditions in three phenotyping trials during three consecutive growing seasons (2018–2019 to 2020–2021) at Norman E. Borlaug Research Station, Ciudad Obregon, Mexico. The mean GY rose from 6.75 (24th ESWYT) to 7.87 t ha−1 (37th ESWYT), representing a cumulative increase of 1.12 t ha−1. The annual genetic gain for GY was estimated at 0.96% (65 kg ha−1 year−1) accompanied by a positive trend in genotype stability over time. The GY progress was mainly associated with increases in biomass (BM), grain filling rate (GFR), total radiation use efficiency (RUE_total), grain weight per spike (GWS), and reduction in days to heading (DTH), which together explained 95.5% of the GY variation. Regression lines over the years showed significant increases of 0.015 kg m−2 year−1 (p < 0.01), 0.074 g m−2 year−1 (p < 0.05), and 0.017 g MJ−1 year−1 (p < 0.001) for BM, GFR, and RUE_total, respectively. Grain weight per spike exhibited a positive but no significant trend (0.014 g year−1, p = 0.07), whereas a negative tendency for DTH was observed (− 0.43 days year−1, p < 0.001). Analysis of the top ten highest-yielding genotypes revealed differential GY-associated trait contributions, demonstrating that improved GY can be attained through different mechanisms and indicating that no single trait criterion is adopted by CIMMYT breeders for developing new superior lines. We conclude that CIMMYT’s Bread Wheat Breeding Program has continued to deliver adapted and more productive wheat genotypes to National partners worldwide, mainly driven by enhancing RUE_total and GFR and that future yield increases could be achieved by intercrossing genetically diverse top performer genotypes.

Exogenous applications of ascorbic acid improve wheat growth, physiology and yield under salinity stress via a balance in antioxidant production and ROS scavenging

ABSTRACT Ascorbic acid (AsA) improves plant tolerance against abiotic stresses, but key mechanisms of salt tolerance by its different application modes are obscure. In this study, 5 mM AsA was applied in seed priming (SP), foliar spray (FS) and medium supplementation (MS) modes to explore their comparative effectiveness in improving salinity (170 mM) tolerance in wheat (Triticum aestivum L. cv. Galaxy-2013). For SP, seeds were primed while FS and MS were administered at tillering. One set of plants was harvested 30 days after treatment to record data for growth, pigments, leaf gas exchange and water relations, as well as shoot and root osmolytes accumulation, antioxidative defence and ionic contents. Another set was harvested at ripening to measure grain yield (GY) components. Salinity stress reduced growth, photosynthesis, water relations, antioxidants defence, enhanced free amino acids, soluble sugars, free proline and glycine betaine, hydrogen peroxide and malondialdehyde. The correlations heatmap revealed positive associations among growth, physiological and GY; being stronger in MS mode. All AsA modes reduced salinity damage, but MS was highly promising. Conclusively, maintenance of a balance in reactive oxygen species dousing and antioxidant production following tissue absorption of AsA in diminishing oxidative damage is a plausible mechanism of wheat salt tolerance.

Pea growth, yield, and quality affected by nitrogen fertilization to previous crop in small grain–pea rotations

AbstractStarter N fertilization at low rates may enhance pea (Pisum sativum L.) performance, but little information exists about the effect of N fertilization rate to previous crop (NRPC) on pea growth, yield, and quality in small grain–pea rotations. We examined the effect of N fertilization rates to barley (Hordeum vulgare L.) and spring wheat (Triticum aestivum L.) on succeeding pea growth, yield, and quality in barley–pea and spring wheat–pea rotations from 2006 to 2019 in the semiarid environment of US northern Great Plains. We measured pea plant density, straw and grain yields, harvest index, straw N concentration, grain protein concentration, grain test weight, straw and grain N uptake, and N harvest index. In the barley–pea rotation, pea grain yield increased with increased NRPC. Grain test weight was greater without than with NRPC in 2008 and 2009. In the spring wheat–pea rotation, straw yield was greater for 50 than 0 kg N ha−1 of NRPC in 2014, 2018, and 2019. Grain yield and N uptake were greater with than without NRPC in 2014, 2015, and 2019, but grain test weight varied with NRPC and year. Plant density, harvest index, straw N concentration, grain protein concentration, straw N uptake, and N harvest index varied with year in both barley–pea and spring wheat–pea rotations. Nitrogen fertilization to barley or spring wheat can enhance succeeding pea grain yield and N uptake during years with normal growing season precipitation in barley–pea and spring–wheat pea rotations in the semiarid region of the US northern Great Plains.

Biofortification of wheat in salt-affected soil through seed priming and soil application of zinc

ContextGiven the global significance of wheat production and consumption, it is imperative to achieve high yields of nutritious wheat grains. However, the inadequate availability of zinc (Zn) in salt-affected soils can aggravate salt stress, decrease wheat grain yield, and grain Zn concentration. This study compared the effectiveness of soil Zn application and seed Zn priming in increasing Zn biofortification and grain yield of Zn-biofortified wheat grown in alkaline-calcareous soil affected by salts. MethodsEighteen pots were filled with alkaline-calcareous soil containing elevated levels of soluble salts and exchangeable sodium (Na). The pots were subjected to soil Zn application (0 or 8 mg kg−1) and seed priming (control/non-, hydro-, or Zn-primed seeds) treatments, applied to a Zn-biofortified wheat (cv. Zincol-2016). Plant samples were collected at the heading and maturity stages to measure parameters related to plant growth and grain quality. FindingsSoil Zn application increased grain and straw yields across seed priming treatments by a maximum of 23 %, and seed Zn priming increased grain and straw yields across soil Zn rates by a maximum of 21 %. This yield response was accompanied by significant increases in grain potassium and Zn concentrations at maturity, as well as non-significant to significant increases in photosynthetic parameters (stomatal conductance, photosynthetic rate and transpiration rate) in flag leaves during heading. Additionally, compared to control, the combined treatment of soil Zn application and seed Zn priming decreased grain Na concentration by 14 %. Compared to control, both soil Zn application and seed Zn priming significantly increased grain Zn concentration. With the combined application treatment, the grain Zn concentration reached 27 mg kg−1, but it remained significantly below the desired level of >37 mg kg−1. Seed Zn priming decreased the phytate-to-Zn molar ratio in grains, while the treatments that received soil Zn application exhibited the lowest values of this ratio, potentially increasing Zn bioavailability to humans. ConclusionsThe findings suggest that soil Zn application is more effective in enhancing grain yield and Zn concentration, while seed Zn priming remains crucial in low-Zn and high-salt soils. Future research should optimize Zn application strategies for Zn-biofortified wheat cultivated in salt-affected fields.

Near-infrared reflectance spectroscopy phenomic prediction can perform similarly to genomic prediction of maize agronomic traits across environments.

For nearly two decades, genomic prediction and selection have supported efforts to increase genetic gains in plant and animal improvement programs. However, novel phenomic strategies for predicting complex traits in maize have recently proven beneficial when integrated into across-environment sparse genomic prediction models. One phenomic data modality is whole grain near-infrared spectroscopy (NIRS), which records reflectance values of biological samples (e.g., maize kernels) based on chemical composition. Predictions of hybrid maize grain yield (GY) and 500-kernel weight (KW) across 2 years (2011-2012) and two management conditions (water-stressed and well-watered) were conducted using combinations of reflectance data obtained from high-throughput, F2 whole-kernel scans and genomic data obtained from genotyping-by-sequencing within four different cross-validation (CV) schemes (CV2, CV1, CV0, and CV00). When predicting the performance of untested genotypes in characterized (CV1) environments, genomic data were better than phenomic data for GY (0.689±0.024-genomic vs. 0.612±0.045-phenomic), but phenomic data were better than genomic data for KW (0.535±0.034-genomic vs. 0.617±0.145-phenomic). Multi-kernel models (combinations of phenomic and genomic relationship matrices) did not surpass single-kernel models for GY prediction in CV1 or CV00 (prediction of untested genotypes in uncharacterized environments); however, these models did outperform the single-kernel models for prediction of KW in these same CVs. Lasso regression applied to the NIRS data set selected a subset of 216 NIRS bands that achieved comparable prediction abilities to the full phenomic data set of 3112 bands predicting GY and KW under CV1 and CV00.

ОЦЕНКА КАЧЕСТВА ЗЕМЕЛЬ САРАТОВСКОГО ЗАВОЛЖЬЯ ПРИ ВОВЛЕЧЕНИИ НЕИСПОЛЬЗУЕМОЙ ПАШНИ В ПРОИЗВОДСТВО

Assessment of land quality from the standpoint of the expediency of their use for various types of land, being an obligatory stage of land management work to involve unused land in circulation, and largely determines the effectiveness of the entire complex of works. A balanced ecological and economic justification for the solution of the problem of establishing indicators of soil suitability for arable land, which meets modern economic conditions of agricultural production, is proposed to be carried out according to the criterion of ensuring reproductive processes. This should take into account not only the parameters of fertility, the indicator of which is the normative yield of grain, as well as the economic conditions of land use in the form of a ratio of prices for agricultural products and production resources, characteristics of transport accessibility. Using the example of the St. Petersburg municipal district of the Saratov region, the complex influence of economic factors, the level of soil fertility and transport accessibility on the total area of arable land in the district meeting the conditions of profitable production is shown. In particular, the reduction in the price of grain sales from 13 to 12 thousand rubles/ton at existing prices for production resources (60 rubles/l for diesel fuel), the area of arable land in the district that does not meet the conditions of profitable production increases from 31.4 to 130.9 thousand hectares, which corresponds to the share of arable land in the district of 16.5 and 68.8%.

Trend in yield and protein content relationship in a historical series of durum wheat varieties under rainfed and irrigated environments

Improving grain yield (GY) is a major goal of durum wheat breeding programs and a high yield needs to be attained while preserving grain quality. The current study evaluated the changes caused by a breeding program on the association between GY and grain protein content (PC) in Moroccan durum wheat. Field experiments with six leading varieties released over three decades were conducted for three growing seasons under two water regimes. GY and PC were largely controlled by environmental effects, including both the growing season and water regime. The year of release and growing season effects were the predominant sources of variation in total chlorophyll content (TCC). A significant increase in GY with the year of release was observed under irrigated conditions, whereas a significant increase in PC over time was noted under rainfed conditions. In addition, a negative correlation was revealed between GY and PC, which was significant only in the rainfed trials. Similarly, a significant and positive association was noted between PC and TCC within the rainfed trials, but not in the irrigated trials. Based on GGE (genotype main effect plus genotype × environment interaction) biplot analysis, the new varieties Marouane and Faraj were identified as desirable varieties in terms of GY and PC close to the ‘ideal genotype’. These results indicated that when grown under current irrigated conditions, new varieties improved by the Moroccan breeding program showed better GY performance than old varieties.

Aeluropus littoralis stress-associated protein promotes water deficit resilience in engineered durum wheat

Global climate change-related water deficit negatively affect the growth, development and yield performance of multiple cereal crops, including durum wheat. Therefore, the improvement of water-deficit stress tolerance in durum wheat varieties in arid and semiarid areas has become imperative for food security. Herein, we evaluated the water deficiency resilience potential of two marker-free transgenic durum wheat lines (AlSAP-lines: K9.3 and K21.3) under well-watered and water-deficit stress conditions at both physiological and agronomic levels. These two lines overexpressed the AlSAP gene, isolated from the halophyte grass Aeluropus littoralis, encoding a stress-associated zinc finger protein containing the A20/AN1 domains. Under well-watered conditions, the wild-type (WT) and both AlSAP-lines displayed comparable performance concerning all the evaluated parameters. Ectopic transgene expression exerted no adverse effects on growth and yield performance of the durum wheat plants. Under water-deficit conditions, no significant differences in the plant height, leaf number, spike length, and spikelet number were observed between AlSAP-lines and WT plants. However, compared to WT, the AlSAP-lines exhibited greater dry matter production, greater flag leaf area, improved net photosynthetic rate, stomatal conductance, and water use efficiency. Notably, the AlSAP-lines displayed 25 % higher grain yield (GY) than the WT plants under water-deficit conditions. The RT-qPCR-based selected stress-related gene (TdDREB1, TdLEA, TdAPX1, and TdBlt101-2) expression analyses indicated stress-related genes enhancement in AlSAP-durum wheat plants under both well-watered and water-deficit conditions, potentially related to the water-deficit resilience. Collectively, our findings support that the ectopic AlSAP expression in durum wheat lines enhances water-deficit resilience ability, thereby potentially compensate for the GY loss in arid and semi-arid regions.

Estimating wheat spike-leaf composite indicator (SLI) dynamics by coupling spectral indices and machine learning

The contribution of spike photosynthesis to wheat yield grain yield (GY) has been overlooked in crop models. Our objectives were to (i) construct a yield-related phenotypic trait, spike–leaf composite indicator (SLI), accounting for the contribution of the spike to photosynthesis, (ii) develop an enhanced triangle vegetation index 3 (ETVI3) based on the SLI response to canopy spectra, and (iii) establish and evaluate SLI estimation models by integrating spectral indices and eXtreme Gradient Boosting with feature selection (XGB-FS) algorithm and four regression models, using field and spectral reflectance data from 19 wheat cultivars under two nitrogen fertilization conditions in two years. The results showed that spike photosynthesis accounted for 28 % of GY. SLI was sensitive to nitrogen fertilizer and wheat cultivar variation as well as a better predictor of yield than leaf area index. ETVI3 displayed SLI differences through wheat canopy tissue abundance, chlorophyll content, and plant water content, was strongly correlated with SLI, whereas other spectral indices were more poorly correlated. Spectral features selected from XGB-FS algorithm enhanced the interpretability of the regression models and improved the estimation accuracy of SLI, wherein XGB-FS-LASSO was validated with higher accuracy for SLI estimation at the post-heading stage with coefficient of determination, root mean square error (RMSE), and relative RMSE values of 0.71 %, 0.047 %, and 26.93 %, respectively. These results provide new insights into the role of fruiting organs for yield prediction. This high-throughput SLI estimation approach can be applied for accurate spectral prediction of GY at whole growth stages and may be assisted with agronomical practices and variety selection.

Агроэкологическая оценка применения нетрадиционных удобрений в посевах овса

The article examines the effect of non-traditional fertilizers on the yield and quality of oat grain, as well as the content of heavy metals in the grain. It is proved that with the combined use of sewage sludge and organic mineral fertilizer HUMITON, the content of heavy metals in oat grain is below the detection limit, and the highest yield of the studied crop is also noted. The maximum content of protein and ash elements in oat grain was revealed when using HUMITON. With the combined use of non-traditional fertilizers, grain quality indicators remain at the level of the control variant. Keywords: NON-TRADITIONAL FERTILIZERS, SEWAGE SLUDGE, HUMITON, HEAVY METALS, OATS, YIELD

Calibration and Evaluation of the SIMPLE Crop Growth Model Applied to the Common Bean under Irrigation

Bean production is at risk due to climate change, declining water resources, and inadequate crop management. To address these challenges, dynamic models that predict crop growth and development can be used as fundamental tools to generate basic and applied knowledge such as production management and decision support. This study aimed to calibrate and evaluate the SIMPLE model under irrigation conditions for a semi-arid region in north-central Mexico and to simulate thermal time, biomass (Bio), and grain yield (GY) of common beans cv. ‘Pinto Saltillo’ using experimental data from four crop evapotranspiration treatments (ETct) (I50, I75, I100, and I125) applied during the 2020 and 2021 growing seasons. Both experiments were conducted in a randomized complete block design with three replicates. Model calibration was carried out by posing and solving an optimization problem with the differential-evolution algorithm with 2020 experimental data, while the evaluation was performed with 2021 experimental data. For Bio, calibration values had a root-mean-square error and Nash and Sutcliffe’s efficiency of &lt;0.58 t ha−1 and &gt;0.93, respectively, while the corresponding evaluation values were &lt;1.80 t ha−1 and &gt;0.89, respectively. The I50 and I100 ETct had better fit for calibration, while I50 and I75 had better fit in the evaluation. On average, the model fitted for the predicted GY values had estimation errors of 37% and 22% for the calibration and evaluation procedures, respectively. Therefore, an empirical model was proposed to estimate the harvest index (HI), which produced, on average, a relative error of 6.9% for the bean-GY estimation. The SIMPLE model was able to predict bean biomass under irrigated conditions for these semi-arid regions of Mexico. Also, the use of both crop Bio and transpiration simulated by the SIMPLE model to calculate the HI significantly improved GY prediction under ETct. However, the harvest index needs to be validated under other irrigation levels and field experiments in different locations to strengthen the proposed model and design different GY scenarios under water restrictions for irrigation due to climate change.

Response of Sorghum bicolor genotypes for yield and yield components and organic carbon storage in the shoot and root systems

Sorghum is a vital food and feed crop in the world’s dry regions. Developing sorghum cultivars with high biomass production and carbon sequestration can contribute to soil health and crop productivity. The objective of this study was to assess agronomic performance, biomass production and carbon accumulation in selected sorghum genotypes for production and breeding. Fifty sorghum genotypes were evaluated at three locations (Silverton, Ukulinga, and Bethlehem) in South Africa during 2022 and 2023 growing seasons. Significant genotype × location (p < 0.05) interactions were detected for days to 50% heading (DTH), days to 50% maturity (DTM), plant height (PH), total plant biomass (PB), shoot biomass (SB), root biomass (RB), root-to-shoot biomass ratio (RS), and grain yield (GY). The highest GY was recorded for genotypes AS115 (25.08 g plant−1), AS251 (21.83 g plant−1), and AS134 (21.42 g plant−1). Genotypes AS122 and AS27 ranked first and second, respectively, for all the carbon stock parameters except for root carbon stock (RCs), whereas genotype AS108 had the highest RCs of 8.87 g plant−1. The principal component analysis identified GY, DTH, PH, PB, SB, RB, RCs, RCs/SCs, total plant carbon stock (PCs), shoot carbon stock (SCs), and grain carbon stock (GCs) as the most discriminated traits among the test genotypes. The cluster analysis using agronomic and carbon-related parameters delineated the test genotypes into three genetic groups, indicating marked genetic diversity for cultivar development and enhanced C storage and sustainable sorghum production. The selected sorghum genotypes are recommended for further breeding and variety release adapted to various agroecologies in South Africa.

Allelic variation and effects of earliness &lt;i&gt; per se (Eps) &lt;/i&gt; genes in wheat cultivars of Pakistan

Optimization of the flowering time in wheat is an important breeding target for its adaptability in target environments. Flowering time is controlled by vernalization, photoperiod, and the relatively poorly characterized earliness per se (Eps) genes. When vernalization and photoperiod criteria are met, Eps genes account for the variance in flowering time. The objective of the study was to decipher the allelic variations for Eps genes in the wheat cultivars of Pakistan and draw their association with agronomic traits. The wheat cultivars released prior to 1965 had an average flowering duration of 82 days, whereas the cultivars released between 1965 and 2000 had an average flowering time of 79 days and 81 days, respectively. Kompetitive allele-specific PCR (KASP) markers were used to genotype all these cultivars for TaElf3-B1, TaElf3-D1, and TaMOT1-D1 genes. For the gene TaElf3-B1, allele Cadenza-type had a frequency of 61.71%. For the gene TaElf3-D1, the proportion of its respective major alleles was recorded, i.e., deletion had a frequency of 72.94%, and Savannah-type was 86.04%. For the gene TaMOT1-D1, the allele Wild-type was found in 55.88% accessions. The gene Elf3-B1 had a significant allelic effect for grain yield (GY), TaElf3-D1 for grain length, and TaMOT1-D1 for GY. Among the wheat cultivars, high percentage (56.89%) of the Savanah-type allele was associated with early flowering. However, the Wild-type alleles (43.1%) were observed to have low allelic frequency, and they were associated with late flowering. This study may allow wheat breeders to make genetic selection of wheat cultivars that are most suited to target environment, ensuring better yield and adaptability.

Yield and quality of winter wheat grain under different cultivation technologies

Yield and quality of winter wheat grain under different cultivation technologies

Innovative Fertiliser Based on Urea and Ammonium Nitrate Solution with Potassium Thiosulphate as a Crucial Factor in Shaping Plant Yield and Its Parameters

In the cultivation of crops in recent times, in addition to taking care of the balanced supply of nutrients to plants and the protection of soil resources, it is also important to take into account the non-productive factor by implementing production systems based on balanced fertilisation. The aim of this study was to demonstrate the effect of soil kind and the application of a new fertiliser based on a urea and ammonium nitrate solution with potassium thiosulphate (UAN-KTS) on the yielding and biometric characteristics of spring wheat, spring rape, and maize to determine the optimal N:K:S ratio. An increase in the soil kind increased the weight of 1000 spring rape seeds, the yield of maize fresh matter, a reduction in the height of spring wheat and maize plants, a reduction in the yield of spring wheat grains and straw, and the yield of the fresh and dry matter of spring rape straw. A higher nitrogen dose promoted the growth of spring rape at the later growing stage and maize and had a positive effect on the yield of spring wheat grains and straw, spring rape seeds and straw, and the above-ground parts of maize. The application of potassium fertilisers caused a significant increase in the spring rape plant height, an increase in the yield of spring wheat grains and straw and spring rape seeds and straw, the above-ground parts of maize, a reduction in the plant height at the beginning of the spring wheat growing period, and a reduction in the weight of 1000 spring rape seeds (only on the soil with rich quality). The fertiliser with the N:K2:S2 ratio had a particularly favourable effect on the yielding of spring wheat. In the cultivation of maize, the same effect was most often obtained under the influence of fertiliser in the ratio of N:K1:S1 on the weaker soil fertilised at the same time as a higher dose of nitrogen (N 1) and N:K2:S2 (in other cases). In the case of spring rape, generally, fertiliser with N:K1:S1 was the strongest, although, in some objects, a higher yield was achieved under the influence of N:K2:S2. The existence of statistically confirmed correlations (expressed as the percentage of the variability observed) between the soil kind and the fertilisers applied and the yielding and biometric characteristics of the plants were observed.

Genomic wide association study and selective sweep analysis identify genes associated with improved yield under drought in Turkish winter wheat germplasm

A panel comprising of 84 Turkish winter wheat landraces (LR) and 73 modern varieties (MV) was analyzed with genome wide association study (GWAS) to identify genes/genomic regions associated with increased yield under favorable and drought conditions. In addition, selective sweep analysis was conducted to detect signatures of selection in the winter wheat genome driving the differentiation between LR and MV, to gather an understanding of genomic regions linked to adaptation and yield improvement. The panel was genotyped with 25 K wheat SNP array and phenotyped for agronomic traits for two growing seasons (2018 and 2019) in Konya, Turkey. Year 2018 was treated as drought environment due to very low precipitation prior to heading whereas year 2019 was considered as a favorable season. GWAS conducted with SNPs and haplotype blocks using mixed linear model identified 18 genomic regions in the vicinities of known genes i.e., TaERF3-3A, TaERF3-3B, DEP1-5A, FRIZZY PANICLE-2D, TaSnRK23-1A, TaAGL6-A, TaARF12-2A, TaARF12-2B, WAPO1, TaSPL16-7D, TaTGW6-A1, KAT-2B, TaOGT1, TaSPL21-6B, TaSBEIb, trs1/WFZP-A, TaCwi-A1-2A and TaPIN1-7A associated with grain yield (GY) and yield related traits. Haplotype-based GWAS identified five haplotype blocks (H1A-42, H2A-71, H4A-48, H7B-123 and H7B-124), with the favorable haplotypes showing a yield increase of > 700 kg/ha in the drought season. SNP-based GWAS, detected only one larger effect genomic region on chromosome 7B, in common with haplotype-based GWAS. On an average, the percentage variation (PV) explained by haplotypes was 8.0% higher than PV explained by SNPs for all the investigated traits. Selective sweep analysis detected 39 signatures of selection between LR and MV of which 15 were within proximity of known functional genes controlling flowering (PRR-A1, PPR-D1, TaHd1-6B), GY and GY components (TaSus2-2B, TaGS2-B1, AG1-1A/WAG1-1A, DUO-A1, DUO-B1, AG2-3A/WAG2-3A, TaLAX1, TaSnRK210-4A, FBP, TaLAX1, TaPIL1 and AP3-1-7A/WPA3-7A) and 10 regions underlying various transcription factors and regulatory genes. The study outcomes contribute to utilization of LR in breeding winter wheat.

Effectiveness of Phosphorus Solubilizing Bacteria on Enhancing Phosphorus Availability from Minjingu Phosphate Rock to Maize in Slightly Acid to Neutral Soils

The aim of this one-year field study was to evaluate the impact of phosphorus solubilizing bacteria (PSB) on increasing the availability of phosphorus locked up in insoluble Minjingu phosphate rock for the maize crop (Zea mays L.) in high soil pH. The study was carried out during one wet season in Nghumbi and Mlali villages in Kongwa District in the Dodoma Region, Tanzania. Based on the pH of their soil and the limiting nutrients, two farms from Mlali village and five from Nghumbi village were chosen at random for field trials. To determine the fertility status, composite soil samples were collected from the chosen farms and examined in a lab. Target treatments included the application of PSB inoculum in combination with various rates of Minjingu phosphate rock (MPR) (0, 20, 30, 40, and 60 KgP ha-1) as a basal fertilizer, placed beneath maize seed and covered with a thin layer of soil. Using a fully randomised block design, the treatments were set up three times. Inadequate levels of N, P, K, and Zn were found in the research area's soil samples. Results indicated the main effect of fields’ characteristics from field No.2 had the highest yield to other fields with significantly (P&lt; 0.001) highest grain yield being 4.4 t ha-1, biological yield of 5.6 t ha-1, and Straw P uptake of 19.63 kg ha-1. Using P or an inoculant (Mx) produced a negligible yield of grain and straw, according to the major effect of treatments. For the studied variables, none of the treatments showed any significant (P =0.427) interaction effects. An intriguing revelation that the study's maize response to native P is provided by interaction effects area is a factor of soil and amount of P released to the soil. We recommend more research on PSB for more than one season in high soil pH before ascertaining the technology to farmers.

Enhancing faba bean (Vicia faba L.) productivity through establishing the area-specific fertilizer rate recommendation in southwest Ethiopia.

The aim of this study is to establish area-specific NPSB (18.9% N, 37.7% P2O5, 6.95% S, and 0.1% B) fertilizer rate recommendations for the optimal grain yield of faba bean. The field experiment was conducted in two locations in the 2021 and 2022 cropping seasons using a randomized complete block design with three replications. The nine treatments included 0, 25, 50, 75, 100, 125, 150, 175, and 200 kg ha-1 NPSB fertilizer rates. An economic analysis was conducted for grain yield using the International Maize and Wheat Improvement Center procedure. The analysis of variance results showed that blended fertilizer significantly (p < 0.01) affected plant height, number of pods per plant, number of seeds per plant, hundred seeds weight, biomass yield, grain yield (GY), and harvest index. The combined location mean result showed that applying a 125 kg ha-1 NPSB rate produced the highest GY (4857.2 kg ha-1). The result of economic analysis demonstrated that applying a 125 kg ha-1 NPSB rate earned the highest net benefits (212824.0 ETB ha-1) and marginal rate of return (3653.43%). Therefore, a 125 kg ha-1 NPSB fertilizer rate is recommended for high yield and profitability of faba bean production in the study area and other similar soil types.

Сравнительная агротехнологическая оценка возделывания яровой пшеницы в южной лесостепи Западной Сибири

Abstract. Long-term (more than 20 years) studies were carried out on meadow – chernozem soil in the southern forest-steppe zone of Western Siberia. In a stationary grain-steam crop rotation (steam-wheat-wheat-wheat-barley), a comparative assessment of fertility, the state of agrophytocenosis, yield and quality of spring wheat grain, depending on the placement of the crop in the crop rotation, the tillage system, and complex chemicalization was carried out. The purpose of the research is to establish the influence and effectiveness of multi-level agricultural technologies of spring wheat on the elements of soil fertility, the state of agrophytocenosis, productivity and technological properties of grain in the southern forest-steppe of Western Siberia. Research methods. In the southern forest-steppe agricultural landscapes, the effectiveness of multi-level agricultural technologies of spring wheat cultivation has been established, with an increase in yield from 1.51 to 3.24 t/ha (2.1 times) and a decrease in technological parameters of grain. For the first time, the share contribution of chemicalization components in increasing the productivity of spring wheat cultivated by steam and in the grain-steam crop rotation has been established. Two-factor experience: factor A – tillage system (dump-plowing on the head of 20–22 cm, annually; combined-plowing in the fallow field and under the third wheat after steam for 20–22 cm and flat-cut on the head of 10–12 for the second wheat after steam barley; flat-cut on the head of 10–12 cm for all crops annually; minimal – in the fallow field cultivation on the 8–10 cm. in other fields without autumn treatment); factor B – means of intensification (control – without chemicals, the option of complex application of chemicals included the combined use of fertilizers (N24 P36 per 1 ha of arable land), recommended herbicides, fungicides and retardants). Results. It was found that intensive agrotechnology with the use of fertilizers and plant protection products makes the main contribution to increasing the yield and technological parameters of grain – 30–35 %, precursors – up to 20–25 %, weather conditions of the growing season – 18–20 %, the system of tillage in crop rotation – 10–12 %. The complex application of chemicals contributes to an increase in crop biomass to 2080 g/m2 (by 49 %), reduces water consumption to 73 mm per 1 t\ of grain (2.7 times), optimizes the nutrient regime of the soil and the phytosanitary state of agrophytocenosis, which ultimately increases yields from 1.51 to 3.27 t/ha while improving the technological properties of grain gluten content up to 26.4 – 29.4 %. Long-term rational use of chemicals does not lead to the accumulation of ecotoxicants in soil and grain. The scientific novelty was revealed for the conditions of Western Siberia with the long-term rational use of chemicals, the accumulation of ecotoxicants in the soil and grain was not observed.

Evaluation of elite spring wheat genotypes for grain yield and other agronomic attributes in hills of Sudurpaschim Province, Nepal

Selection and release of high yielding and disease resistant varieties is the cost effective and ecologically sound approach for increasing the production and productivity of agricultural crop in Nepal. Twenty-two advanced bread wheat (Triticum aestivum L.) genotypes including commercial check variety "Sorgadwari", newly released check variety "Khumal Shakti" and Local Check variety " Jhadde" were evaluated under irrigated conditions at Gokuleshwor Agriculture and Animal Science College (GAASC), Baitadi, Nepal during 2022/2023. This study was carried out for the identification of high yielding genotypes under irrigated condition in western hills. The experiment was conducted in Alpha lattice design with two replications. The highly significant difference (p&lt;0.01) among the genotypes was found for most of the traits viz., days to heading, days to anthesis, days to maturity, plant height, spikes per square meter, number of grains per spike, grain weight per spike, flag leaf area, thousand kernel weight, biomass yield and grain yield and non-significant difference for spike length. The mean grain yield ranged from 1908 to 4146 kg/ha with grand mean of 2766 kg/ha. The highest grain yield was produced by genotype NL 1474 (4146 kg/ha) which was followed by NL 1475 (3994 kg/ha), NL1597 (3536 kg/ha) and NL 1590 (3070 kg/ha). The check variety Sorgadwari and Khumal Shakti produced 3480 and 3070 kg/ha respectively while the local check variety Jhadde produced 2655 kg/ha. Similarly, highest TKW was produced by NL 1487 (68.5 g) followed by BL 5148 (67.2 g) and WK 3730 (66.3 g). The correlation analysis revealed that grain yield showed highly significant positive correlation with biomass yield (0.90**) and number of grains per spike (0.6**), spikes per square meter (0.7**), plant height (0.5**) and non-significant positive correlation with spike length (0.21) and grain weight per spike (0.1) and non-significant negative correlation with days to heading (-0.2) and days to maturity (-0.2). Cluster analysis revealed that Cluster III consists of 4 genotypes namely NL 1474, NL 1475, NL 1597 and Sorgadwari. This cluster represent with highest grain yield, number of spikes per meter square, number of grains per spike and grain weight per spike. Among the tested genotypes, NL 1474, NL 1475, NL 1597 and NL 1590 were found superior for grain yield and yield-related traits in comparison to three checks and could be recommended for hills of Sudurpaschim province after further testing in multi-environment and in farmer's field.