Wheat Production Research Articles

DOES IMPROVING TECHNICAL EFFICIENCY INCREASE FOOD PRODUCTION? AN ANALYSIS OF WHEAT FARMS IN AFGHANISTAN

Afghanistan faces serious challenges in terms of food security, which highlights the importance of agricultural productivity growth. This study assessed the impact of technical efficiency (TE) of wheat production on farmers’ household food security by improving food production using ex-post non-experimental data from Takhar Province, Afghanistan. Our empirical approach is based on the Cobb–Douglas stochastic frontier model and the Household Food Insecurity Access Scale (HFIAS). We found that farmers’ TE significantly improved farmers’ households’ food security by improving food production. Furthermore, the average TE score of food-secure farmers was 72.0%, whereas that of food-insecure farmers was 66.2%, and the difference was statistically significant. In conclusion, our findings underscore the essential role of improving farmers’ TE in enhancing food security in farming households in Afghanistan.

INFLUENCE OF ABIOTIC FACTORS ON DYNAMICS OF WHEAT PHYTONEMATODE IN MUGHAN PART OF AZERBAIJAN

The article deals with the impact of abiotic factors on the dynamics of wheat phytonematode in the Mughan part of Azerbaijan. To study the population dynamics of phytonematodes of wheat and its rootstock soil under Azerbaijan conditions, soil and plant samples were collected by stationary method monthly from March to June during 2018-2023. In the wheat field, 45 species of nematodes were recorded during the vegetation period. In both roots and rootstock of wheat, the highest number of phytonematode individuals was observed at the beginning of the study (March), then their density began to decrease sharply and reached a minimum at the end of the growing season (June). In aboveground parts, the highest peak of phytonematode abundance occurs in mid-spring (April), followed by a decline in abundance at the following dates. The lowest abundance is recorded in summer before harvesting. The recorded phytonematodes were distributed in the following ecological groups: polytrophs - 8 species, typical saprobionts - 2, devisaprobionts - 15, potential parasites - 12, true parasites - 8 species. Ecological groups of phytonematodes respond differently to changes in the conditions of existence. At the same time, the effect of ecological factors depended on the habitat of phytonematodes. It is known that in the Mughan region of Azerbaijan, the influence of abiotic factors on the dynamics of wheat phytonematodes mainly includes elements such as soil structure, climatic conditions, sunlight and water supply. These abiotic factors determine the level and distribution of nematode populations and affect the yield of crops. As a result of the changing influence of various abiotic factors, the population levels of nematodes also change, which affects the effectiveness in the crop field. In this regard, the understanding and management of these factors is important for improving the quality and production of wheat products. Preventive and preventive measures, depending on the completeness and timeliness of this information, allow you to create optimal conditions and get a stable harvest from plants. The above-mentioned issues have been extensively investigated and reflected in the article.

An unprecedented fall drought drives Dust Bowl-like losses associated with La Niña events in US wheat production.

Unprecedented precipitation deficits in the 2022-2023 growing season across the primary wheat-producing region in the United States caused delays in winter wheat emergence and poor crop growth. Using an integrated approach, we quantitatively unraveled a 37% reduction in wheat production as being attributable to both per-harvested acre yield loss and severe crop abandonment, reminiscent of the Dust Bowl years in the 1930s. We used random forest machine learning and game theory analytics to show that the main driver of yield loss was spring drought, whereas fall drought dominated abandonment rates. Furthermore, results revealed, across the US winter wheat belt, the La Niña phase of the El Niño Southern Oscillation (ENSO), increased abandonment rates compared to the El Niño phase. These findings underscore the necessity of simultaneously addressing crop abandonment and yield decline to stabilize wheat production amid extreme climatic conditions and provide a holistic understanding of global-scale ENSO dynamics on wheat production.

Water stress combining weather condition shapes wheat yield and inter-annual yield variability: Field observations from a six-year study

Irrigation has played a pivotal role in Chinese wheat production and is becoming increasingly crucial in adapting to the changing climate. However, the benefits of water-saving wheat production in the long-term period and its response to climate change have received limited attention. In this study, a 6-year field experiment was conducted to investigate the grain yield and water use with three treatments such as Irrigation three times (I3), Irrigation two times (I2), and disposable pre-sowing irrigation (I0), and their sensitivity to weather conditions. The average yield over six years for the I2 treatment is 8.3 Mg ha−1, similar to I3 treatment while using 10.2 % less irrigation water and improving 8.0 % water use efficiency. In contrast, the grain yield in I0 treatment is 28.4 % lower than I3 treatment while consuming 36.9 % less irrigation water. Furthermore, 90.2 % of the yield decrease in I0 treatment results from the lower ear number. Water stress from jointing to flowering accounts for 58.8 % of ear number decrease. Although interannual yield variation is similar among the three treatments, the source of the variation is very different. Kernel weight explains the yield variation by 92.3 % in I3 treatment and 66.1 % in I2 treatment, while ear number accounts for 60.7 % of the variation in I0 treatment. Minimum temperature for kernel weight in both I3 and I2 treatments and rainfall for ear number in I0 treatment is the most important weather factor, respectively. In summary, this study provides valuable insights into the delicate balance between water conservation and food security while adapting to varying weather conditions.

Bolstering Wheat's immunity: BABA-mediated defense priming against Bipolaris sorokiniana amid competition

Wheat productivity is significantly limited by biotic stresses, notably Bipolaris sorokiniana, which are exacerbated by competition for nutrients and space among plants. This study addresses the critical problem of developing sustainable, pesticide-free strategies to enhance wheat defense against pathogens, particularly under competitive conditions. In the present study, we demonstrated BABA priming in wheat against Bipolaris sorokiniana under varying degrees of competition. Our findings indicate that growth parameters were reduced in both primed and non-primed wheat with an increase in the level of competition. However, overall, the primed wheat showed better morphological growth compared to the non-primed at each level of competition. Under disease pressure, BABA-primed performed better than non-primed wheat at each level of competition, and the level of protection was consistent across all competition levels. Biochemical parameters such as photosynthetic pigments, enzymatic and non-enzymatic antioxidants, and defence enzymes suggested that the defence mechanism was activated in primed wheat only after pathogen challenge, ensuring the establishment of the priming effect. Non-primed HD plants exhibited maximum susceptibility under high competition and disease pressure. BABA priming enabled the plants to outweigh the fitness cost and mitigate the effects of competition under pathogen pressure. Additionally, the yield performance of BABA-primed wheat was superior across all competition levels. These results suggest that BABA priming is a viable, pesticide-free approach to enhancing wheat resilience against Bipolaris sorokiniana, particularly in competitive environments. Our research highlights the potential of BABA priming to contribute to sustainable agricultural practices by improving crop protection and yield.

Effect of different irrigation levels and moisture conservation techniques on relative water content (RWC), water use efficiency and productivity of wheat (Triticum aestivum)

Effect of different irrigation levels and moisture conservation techniques on relative water content (RWC), water use efficiency and productivity of wheat (Triticum aestivum)

Current research status and emerging trends in wheat: An integrated scientometric analysis based on ploidy uncovers hidden footprints in the scientific landscape

Wheat, a highly versatile staple crop cultivated extensively for its grains on a global scale, is poised to experience increased demand to sustain the burgeoning population, owing to its superior nutritional potential. Modern wheat, a hexaploid species, has evolved through the introgression of numerous preceding ploidies, including Einkorn, Emmer, Aegilops, and others, each possessing distinct qualitative and quantitative traits. Scientometric and topical analyses serve as effective tools to quantitatively evaluate scientific research by measuring the knowledge expressed in scientific publications and keywords. Thus, comprehending the research status regarding wheat domestication events within primary, secondary, and tertiary gene pools is paramount for enhancing wheat production. In this study, we analyze data retrieved from PubMed to elucidate the research status and identify bottlenecks across different ploidy of genomic pools of wheat. The publication trends on wheat have experienced exponential growth over the past three decades, with China emerging as a leading center for publications. In contrast to the publication frequency observed in hexaploid common wheat, scholarly output concerning Einkorn and Aegilops is approximately tenfold lesser, with emmer trailing behind at three times fewer publications. This discrepancy underscores the prioritization of expedited research initiatives targeting these species, aimed at elucidating latent biological characteristics and optimizing their breeding capabilities. Keywords such as “stress,” “GWAS,” and “gene” are prominent, reflecting the challenges posed by climatic factors on wheat production and their mitigation through molecular breeding and gene manipulation. Notably, the keyword “einkorn” highlights its potential as a donor for fine-tuning traits related to wheat adaptation processes and quality, crucial for modern wheat’s survivability under adverse climates. Conversely, higher publication rates on emmer are primarily associated with Italy, possibly due to its favorable Mediterranean climate for tetraploid wheat. Keywords like “Pasta” and “Ochratoxin, DON” are prevalent, with the former being derived from durum wheat and the latter being reported in higher amounts in durum compared to other wheat species, rendering it less suitable for consumption. Enriched keywords such as “genome” and “resistance” underscore the critical characteristics of Aegilops. Other significant keywords like “Aceria tosichella” possibly indicate multiple stages of resistance conferred by Aegilops, while the presence of the grain softness protein “puroindoline” enhances its acceptability for donation by Aegilops. Spelt, a close relative of common wheat, exhibits a research trend with thousands of annual publications and enriched keywords such as “stress” and “yield” reflect the current scientific emphasis on wheat research. Furthermore, hierarchical keywords like “bio-control” and “celiac disease” merit consideration for future research on hexaploid wheat.

First report of Triticum mosaic virus infecting oat crop in the United States.

Triticum mosaic virus (TriMV, genus Poacevirus, family Potyviridae) was first reported in 2006 (Seifers et al. 2008) to infect wheat, and since then, it has been established as a constraint for US wheat production (Byamukama et al. 2013). In the field, TriMV often exists as a coinfection with wheat streak mosaic virus (WSMV), and these two viruses interact synergistically to produce severe symptoms and greater yield loss (Byamukama et al. 2012; Tatineni et al. 2022). Both TriMV and WSMV are transmitted by wheat curl mites (Aceria tosichella Keifer) (McMechan et al. 2014). Wheat is the primary host reported for TriMV in the field, but Seifers et al. (2010) established oat, rye, barley, and several other cereals and grasses as hosts under controlled conditions. However, there are no documented cases of TriMV infecting oats in the field. Between 10-25 June, 2023, a total of 273 field oat plants showing foliar yellowing, yellow flecking, and streaking symptoms were collected from four different fields in Nebraska (Big Springs: 41.1029° N, 102.1451° W; Mead: 41.2292° N, 96.4938° W; Odell: 40.0459° N, 96.7984° W; Stumf: 40.5048° N, 101.4223° W). Total RNA was extracted using the MagMax Plant RNA Isolation kit (Thermo Fisher Scientific) and the KingFisher Flex Magnetic Particle Processor (Thermo Fisher Scientific) (Mondal et al. 2023). Sample RNA was assayed with a single-step multiplex reverse transcription polymerase chain reaction (RT-PCR) to determine presence of WSMV and TriMV. Out of 273 symptomatic oat plants, 254 (93.04%) tested positive for at least one virus. Out of total positive samples, 238 were positive for WSMV (93.70 %), 12 plants tested positive for both TriMV and WSMV (4.70%), and 4 plants were infected with TriMV alone (1.60%). As a secondary confirmation, amplified fragments from the TriMV single infection were gel purified using a gel extraction kit (QIAquick) and sequenced (Eurofins Genomics). The nucleotide sequences were analysed using the BlastN program, compiled, and edited in the BioEdit software (Hall 1999). Sequences were deposited in the NCBI GenBank database (accession number PP475806). Nucleotide BLAST searches of the target coat protein (CP) gene showed > 98% identity to the corresponding sequences in TriMV accession MK318274. For further validation, virus inoculum was prepared by grinding field-collected plant material from plants with only TriMV present in 20 mM sodium phosphate buffer, pH 7.0, and then mechanically inoculating two-week-old oats (cv. Shaw n=8) and wheat (cv. Sattler, n=8) plants. Three weeks post-inoculation, all the eight wheat plants exhibited mild yellowing and streaking symptoms, while oat plants did not show obvious foliar symptoms. All wheat and oat plants were further tested positive with DAC-ELISA (antibodies produced against TriMV CP at the USDA-ARS facility in Lincoln, NE) and with RT-PCR. The specific attribution of these symptoms to TriMV in oats is not possible as none produced prominent symptoms. Asymptomatic oat infection from symptomatic field-collected oat samples could be due to oat cultivar differences. Although the prevalence of TriMV in wheat has been established across the Great Plains of the United States, to our knowledge, this is the first report of TriMV infection in US oat fields. Our finding warrant further investigation into the incidence and impact of the virus in oat crop and its potential for serving as a asymptomatic virus reservoir.

Assessing the impacts of temperature extremes on agriculture yield and projecting future extremes using machine learning and deep learning approaches with CMIP6 data

Climate change, particularly extreme weather events, has significantly affected various sectors, including agriculture, human health, water resources, sea levels, and ecosystems. It is anticipated that the intensity, duration, and frequency of these extremes will escalate in the future. This study aims to discover the association between temperature extremes and agricultural yield and to project these extremes using machine learning (ML) and deep learning (DL) models with CMIP6 (Coupled Model Intercomparison Project Phase 6) data under two SSPs (Shared Socioeconomic Pathways). A bi-wavelet coherence technique is employed to investigate the association, providing detailed information in both the frequency and time domains for the period of 1980–2014. Various ML and DL models are trained and tested for the periods of 1985–2004 and 2005–2014, respectively, with gradient boosting machine chosen for projecting temperature extremes based on its superior performance. Mann-Kendall test is used for trend analysis in the projected temperature extremes. The results indicate strong negative and positive associations between TN10p (Cold nights) and TN90p (Warm nights), respectively, with wheat production. Additionally, there is a long-term negative association of CSDI (Cold Spell Duration Indicator) and strong positive association of WSDI (Warm Spell Duration Indicator) with rice yield. Projected results show an increase and decrease under SSP2-4.5 and SSP5-8.5, respectively, in DTR (Diurnal Temperature Range) at most stations. TN10p will increase in the future at most stations, with exceptions such as Muree station where it decreases during 2025–2049 and then increases under both SSPs. Projections show that TXn (annual or monthly minimum value of daily maximum temp) will increase in the future, with Muree station exhibiting the lowest value close to zero, while the average maximum value is around 20 °C at Khanpur station. Trend analysis reveals significantly increasing trend in TR20 (Tropical nights) and decreasing trend in CSDI in future durations under both SSPs. These findings hold implications for policymakers and stakeholders in various departments, including agriculture, health, and water resources management.

A novel eco-friendly approach of combining vermicompost and effective microorganisms sustains wheat (Triticum aestivum L.) drought tolerance by modulating photosynthetic performance and nutrient acquisition

The most significant threat to global food security is water scarcity. Despite the fact that vermicompost (an effective organic fertilizer rich in humic substances, macro- and micro-nutrients, earthworm excretions, beneficial soil microbes, plant growth hormones, enzymes) and effective microorganisms (EM; photosynthetic bacteria, lactic acid bacteria, yeasts, actinomycetes, fermenting fungi) have been recognized as powerful strategies for alleviating environmental stresses, their combined effect has not been studied. Herein, as a first investigation, we aimed to enhance wheat’s drought tolerance using an eco-friendly approach that combined vermicompost and EM. The study employed twelve treatments in a completely randomized design. The treatments included control, as well as single and combined applications of vermicompost and EM at three different irrigation levels (100%, 70%, and 30% of field capacity). Vermicompost and EM, applied singly or in combination, ameliorated drought-induced reduction in wheat growth and productivity by elevating photosynthetic pigment content, photochemical processes, Calvin cycle enzyme activity, net photosynthetic rate, transpiration rate, stomatal conductance, maximum quantum efficiency of PSII photochemistry, actual photochemical efficiency of PSII, electron transport rate, photochemical quenching coefficient, and effective quantum yield of PSII photochemistry. Additionally, adding vermicompost and/or EM improved wheat drought tolerance by increasing nutrient (nitrogen, phosphorus, potassium, iron, zinc, copper) acquisition, roots’ ATP content, H+-pump activity, and membrane stability index while lowering hydrogen peroxide content, lipid peroxidation, and electrolyte leakage. The new evidence demonstrates that combining vermicompost with EM sustains wheat drought tolerance by regulating photosynthetic efficiency, nutrient acquisition, root H+-pump activity, and membrane stability. Overall, utilizing vermicompost/EM is a novel approach to improving plant physiological responses and overcoming drought-related challenges.

Key Factors Influencing the Adoption of Improved Wheat Production Technologies in the Irrigated, Heat-Prone, Arid Environments of Sudan

Key Factors Influencing the Adoption of Improved Wheat Production Technologies in the Irrigated, Heat-Prone, Arid Environments of Sudan

Multivariate analysis of phenotypic diversity elite bread wheat (Triticum aestivum L.) genotypes from ICARDA in Ethiopia

Wheat is an important crop for food security, providing a source of protein and energy for the growing population in Ethiopia. However, both biotic and abiotic factors limit national wheat productivity. The availability of genetically diverse wheat genotypes is crucial for developing new wheat varieties that are both high-yielding and resilient to stress. Therefore, this field trial aimed to assess phenotypic variation and relationship among ICARDA-derived bread wheat genotypes using multivariate analysis techniques. The trial was conducted at three locations: Enewari, Wogere, and Kulumsa using an alpha lattice design with two replications during the main cropping seasons of 2022 and 2023. Phenotypic data on eight agronomic traits and the severity of yellow rust were collected and R programming was used for data analysis. Individual and combined location data analysis of variance showed significant differences (p ≤ 0.05) among genotypes for most of the studied traits. The highest heritability and genetic advance as a percentage of the mean were observed in days to heading (90.8, 21.29), plant height (72.4, 28.6), seeds per spike (61.7, 28), thousand kernel weight (61.9, 12), and area under the disease progress curve (67, 39.8), suggesting a predominance of additive gene action. Grain yield showed a strong positive correlation with days to maturity, plant height, spike length, spikelet per spike, and thousand kernel weight for each location. Dendrogram and phylogenetic tree methods were used to group genotypes into four genetically distinct clusters. Cluster II and III had the greatest inter-cluster distance, indicating higher diversity among their genotypes. This study identified new candidate genotypes with superior agronomic performance, high grain yield traits, and robust resistance to yellow rust, making them valuable for both current and future wheat breeding programs. Additionally, the comprehensive dataset produced in this study could facilitate the identification of genetic variations influencing desirable traits through genome-wide association analysis.

Dynamic of Puccinia striiformis f. sp. tritici urediniospore and its correlation with wheat stripe rust epidemics in Xiangyang of China

Stripe rust is one of the main diseases of wheat, which seriously threatens wheat production and food security all over the world. Xiangyang located in the Northwest of Hubei province in China is one of the main winter propagation and spring epidemic regions of Puccinia striiformis f. sp. tritici (Pst), which can provide urediniospores to the major wheat-growing regions in eastern and northeastern China. Understanding the dynamic of Pst urediniospore is important for giving prediction of wheat stripe rust epidemic for eastern and northeastern China and controlling the epidemic of wheat stripe rust. In this study, spore trapper and TaqMan real-time quantitative PCR (TaqMan-qPCR) detection system were employed to monitor Pst urediniospore from December 2018 to December 2022 in Xiangyang. Weather variables including air temperature, relative humidity, sunshine duration and rainfall were collected to clarify the relationship with urediniospore density in the air. In addition, the relationship between disease index of wheat stripe rust and urediniospore density in the air was analyzed. Results showed that Pst urediniospore could be captured in the air all year round. The order of the density of urediniospore from most to least was from April to June, October to December, January to March, and July to September except 2022. The urediniospore density reached the peak when the air temperature was 10–22 °C and the relative humidity was 70%∼85% from April to May in 2019, 2020 and 2021. The density of Pst urediniospores from February to April was linearly related to the total precipitation of 25 days prior to the final day of a 7-day trapping period. There was a significant positive correlation between the disease index of wheat stripe rust and the cumulative urediniospore density 2–4 weeks before the investigation date of wheat stripe rust from March to May (P < 0.05). There was no significant correlation between the disease index and the cumulative urediniospore density from 1–4 weeks after the investigation date of stripe rust from March to May (P > 0.05). This study laid a foundation for the establishment of wheat stripe rust prediction model based on urediniospore density and meteorological factors.

Personalized Microbial Fingerprint Associated with Differential Glycemic Effects of a Whole Grain Rye Intervention on Chinese Adults.

This study aims to identify the gut enterotypes that explain differential responses to intervention with whole grain rye by proposing an "enterotype - metabolic" model. A 12-week randomized controlled trial is conducted in Chinese adults, with 79 subjects consuming whole grain products with fermented rye bran (FRB) and 77 consuming refined wheat products in this exploratory post-hoc analysis. Responders or non-responders are identified according to whether blood glucose decreased by more than 10% after rye intervention. Compared to non-responders, responders in FRB have higher baseline Bacteroides (p < 0.001), associated with reduced blood glucose (p < 0.001), increased Faecalibacterium (p = 0.020) and Erysipelotrichaceae_UCG.003 (p = 0.022), as well as deceased 7β-hydroxysteroid dehydrogenase (p = 0.033) after intervention. The differentiated gut microbiota and metabolites between responders and non-responders after intervention are enriched in aminoacyl-tRNA biosynthesis. The work confirms the previously suggested importance of microbial enterotypes in differential responses to whole grain interventions and supports taking enterotypes into consideration for improved efficacy of whole grain intervention for preventing type 2 diabetes. Altered short-chain fatty acids and bile acid metabolism might be a potential mediator for the beneficial effects of whole grain rye on glucose metabolism.

Identification and transferring of a new Fusarium head blight resistance gene FhbRc2 from Roegneria ciliaris 3ScL chromosome arm into common wheat

Fusarium head blight (FHB) threatens wheat production worldwide. Utilization of FHB resistant varieties is the most effective solution for disease control. Owing to the limited sources of FHB resistance, mining of novel resistance genes is crucial. Here, we report an FHB resistance gene from a wild wheat relative species, Roegneria ciliaris and developed FHB resistant germplasm containing this gene. Wheat-R. ciliaris disomic addition line DA3Sc showed enhanced type II FHB resistance compared to its sister line 3Sc-Null without chromosome 3Sc, indicating that the resistance was contributed by the addition of 3Sc. The resistance gene on 3Sc was validated using F2 and F2:3 populations derived from the cross between DA3Sc and susceptible Aikang 58 (a susceptible cultivar), demonstrating that the lines with 3Sc had significantly enhanced FHB resistance compared to the individuals without 3Sc. This was the second resistance gene identified in R. ciliaris, designated FhbRc2. To transfer FhbRc2 to common wheat, we produced a double-monosomic chromosome population by crossing DA3Sc with the Chinese Spring nulli-tetrasomic line N3DT3B. Eight alien chromosome lines containing 3Sc were identified using genomic/fluorescence in situ hybridization and 3Sc-specific marker analysis. Only the lines carrying the long arm of 3Sc conferred FHB resistance, further locating FhbRc2 on 3ScL. A compensating wheat-R. ciliaris Robertsonian translocation line T3DS·3ScL harboring FhbRc2 is developed and provides a potential genetic resource in wheat breeding for enhanced FHB resistance.

The Impact of Salinity on the Productivity and Quality of Durum and bread Wheat

Salinity poses a significant challenge to the quality and productivity of crops. In the primary wheat cultivation areas worldwide, salinity negatively affects wheat growth, yield, and quality. To address this issue, the development of tolerant wheat varieties through selective breeding techniques is essential. The aim of this study was to assess the effects of salinity on grain yield, protein content, and thousand-kernel weight (TKW) among 55 different varieties and accessions of bread and durum wheat. The findings revealed that the application of salt treatment (100 mM NaCl solution) resulted in reduced growth and yield production in 45 bread and durum wheat varieties. However, 6 durum wheat varieties, 3 durum wheat accessions, and 1 common wheat accession showed insignificant susceptibility to salinity. These included Chryssodur from Greece, Saragolla, Silur, and Dakter from Italy, Sculptur from France, Karim from Tunisia, Algeria 70-2 from Algeria, Ethiopia 201 and Ethiopia 229 from Ethiopia, and the Morocco 85 accession of bread wheat from Morocco. The decline in grain yield could be attributed to salinity, which led to a decrease in photosynthetic capacity, resulting in reduced starch synthesis and accumulation in the grain. Furthermore, the study demonstrated that winter wheat exhibited greater tolerance to salt stress compared to spring wheat, and durum wheat displayed higher tolerance than common wheat. Additionally, salt accumulation was found to increase protein content in five varieties and one accession of durum wheat. This variation may be linked to the relatively stable nitrogen metabolism under salt stress, contributing to higher protein concentrations. TKW also decreased in all 10 varieties and accessions, irrespective of the species.

Effect of integrated vermicompost and chemical nitrogen fertilizer for productivity of bread wheat (Triticum aestivum L.)

The study was conducted at Horo district on six (6) farmers’ fields to investigate the effect of integrated vermicompost and chemical nitrogen fertilizer for bread wheat and the soil nutrient content. The treatments consist of without any fertilizer, recommended chemical NP fertilizer, 100% N equivalent vermicompost + recommended P2O5, 75% N equivalent Vermicompost + 25% recommended N + recommended P2O5, 50% equivalent Vermicompost + 50% recommended N + recommended P2O5 and 25% equivalent Vermicompost + 75% recommended N + recommended P2O5. The experimental design was a randomized complete block design (RCBD) with three replications. Dendea seed variety with a rate of 150 Kg ha-1 was used for the trial. ANOVA analysis for after harvesting soil parameters showed significant (P&lt;0.05) differences among treatments for available phosphorus, organic carbon, exchangeable acidity and cations exchange capacity while pH and exchangeable Ca and Mg were not statistically significant among the treatments. ANOVA showed that the treatments significantly influenced all collected yield and yield related parameters of the crop. Relatively the highest crop yield and yield related traits were obtained from T2 (recommended chemical fertilizer) while the lowest was from control (without fertilizer). The highest net income (91971.70 birr/ha) was obtained from 25% equivalence vermicompost + 75% recommended N + recommended P2O5. To have more confidence in the technology; it should be verified in the same area with the same management procedure.

Individual or successiveseed priming with nitric oxide and calcium toward enhancing salt tolerance of wheat crop through early ROS detoxification and activation of antioxidant defense

Despite the considerable efforts reported so far to enhance seed priming, novel ideas are still needed to be suggested to this sustainable sector of agri-seed industry. This could be the first study addressing the effect of nitric oxide (NO) under open field conditions. The impacts of seed redox-priming using sodium nitroprusside (SNP) and osmo-priming with calcium chloride (CaCl2), both applied individually or successively, were investigated under salinity stress conditions on wheat plants (Triticum aestivum L.). Various parameters, including water relations, growth, yield, photosynthetic pigments, and antioxidant activities (enzymatic and non-enzymatic), were recorded to assess the outcomes of these priming agents on mitigating the negative impacts of salinity stress on wheat plants. Water consumptive use (ETa) and irrigation water applied (IWA) decreased with seeds priming. Successive priming with SNP + CaCl2 induced the greatest values of crop water productivity (CWP), irrigation water productivity (IWP), seed index, grain yield and grain nitrogen content.Under salinity stress, the dry weight of plants was decreased. However, hydro-priming and successive chemical priming agents using combinations of calcium chloride and sodium nitroprusside (CaCl2 + SNP & SNP + CaCl2) preserved growth under salinity stress.Individual priming with sodium nitroprusside (SNP) and calcium chloride (CaCl2) resulted in the lowest recorded content of sodium in the shoot, with a value of 2 ppm. On the other hand, successive priming using CaCl2 + SNP or SNP + CaCl2 induced the contents of potassium in the shoot, with values of 40 ppm and 39 ppm, respectively. Malondialdehyde decreased in shoot significantly withapplicationof priming agents. Successive priming with CaCl2 + SNP induced the highest proline contents in shoot (6 µg/ g FW). The highest value of phenolics and total antioxidants contents in shoot were recorded under successive priming using CaCl2 + SNP and SNP + CaCl2.Priming agents improved the activities of ascorbate peroxidase and catalase enzymes. The successive priming improved water relations (ETa, IWA, CWP and IWP) and wheat growth and productivity under salinity stress more than individual priming treatments.

A GIS-based land suitability assessment of wheat production in Kano using selected physical parameters

Wheat is the second largest contributor to Nigeria's food import bill and puts pressure on the foreign reserve of the nation. Land suitability assessment is a prerequisite to achieving optimum utilization of the available land resources. Lack of knowledge on best combination of factors that suit production of wheat has contributed to the low produce. The study aims to assess land suitability of wheat production in kano using selected physical materials with the objectives to map out existing locations for wheat production in kano state, determine other areas that may be suitable for wheat production. The study utilized Landsat 8; Shuttle Radar Topography Mission (SRTM) Multi-criteria Evaluator (MCE) integrated with GIS. Spatial factors for wheat cultivation such as soil texture, soil type, soil slope, rainfall range, geology map, elevation, land use land cover and their attribute were identified and were processed into spatial data. The factors were weighed according to their relevance. Land suitability model was constructed in ArcGIS software and spatial data were imported into (SRTM) and link to the land suitability model constructed. The spatial data integrated were computed and final visualization of land suitability map was produced and using ArcGIS 10.3 to identify potential areas. The result obtained showed that 16% were unsuitable, 19% were moderately suitable, 25% were highly suitably and then 40% were most suitable in the study area. Based on this finding, it is recommended that wheat cultivation should be practiced in a large scale in Kano state.

Land suitability mapping for groundnut production in southern region of Borno state, Nigeria

Groundnut (Arachis hypogea) is a leguminous oilseed crop cultivated in the semi-arid and subtropical region of the world. In West Africa, groundnut plays an important role. This includes food production for household consumption, cash crops, sources of employment, and incomes for smallholders in rural households. In Nigeria, it was among the major sources of income before the oil boom. Some of the activities surrounding its production are the development of commerce, employment, and foreign exchange. This study aims to identify the most suitable sites for groundnut production in the Southern Borno Region, Nigeria with the objectives to identify areas of groundnut cultivation within the southern Borno region and to conduct a suitability analysis for groundnut production within the study area. Primary and secondary data and questionnaires were used in this study. Climatic data such as Temperature, Rainfall, Precipitation, Wind speed, Relative Humidity, Soil, and Topographic data were also used. The parameters were overlaid using the weighted overlaid operation in ArcGIS 10.3 and ranked from the most suitable to the least suitable for wheat production within the study region. The result of the study revealed that groundnut is cultivated in all parts of Southern Borno Region. It revealed that areas around Askira/Uba, Chibok and Damboa are the most suitable site for groundnut cultivation. This study demonstrates the capabilities of Remote Sensing and GIS Systems for multi-criteria analysis in Land Suitability Mapping. It is recommended that farmers around Askira/Uba, Chibok and Damboa be encouraged to cultivate more groundnuts.