Maize Production Research Articles

Adoption and impacts of hermetic storage on household food insecurity among maize producers’ organizations in Tanzania

Adoption and impacts of hermetic storage on household food insecurity among maize producers’ organizations in Tanzania

The fall armyworm converts maize endophytes into its own probiotics to detoxify benzoxazinoids and promote caterpillar growth.

The fall armyworm (FAW, Spodoptera frugiperda) threatens maize production worldwide, and benzoxazinoids (Bxs) are known as the main secondary metabolites produced by maize to defend against FAW. However, we do not yet know whether and in what ways certain endophytes in the digestive system of FAW can metabolize Bxs, thus enhancing the fitness of FAW when feeding on maize. Using Bxs as the sole carbon and nitrogen source, we isolated Pantoea dispersa from the guts of FAW. P. dispersa can colonize maize roots and leaves as indicated by GFP-labeling and further successfully established itself as an endophyte in the Malpighian tubules and the gut of FAW after FAW feeding activities. Once established, it can be vertically transmitted through FAW eggs, suggesting the potential that FAW can convert maize-derived endophytes into symbiotic bacteria for intergenerational transmission. The prevalence of P. dispersa in FAW guts and maize leaves was also confirmed over large geographic regions, indicating its evolutionary adaptation in fields. Bxs determination in the gut and frass of FAW combined with bioassays performance on maize bx2 mutants revealed that the colonization of P. dispersa can promote FAW growth by metabolizing Bxs rather than other metabolites. Additionally, genome and transcriptome analyses identified plasmid-borne genes, rather than chromosomes of this species, were crucial for Bxs metabolism. This was further validated through in vitro prokaryotic expression assays by expressing two candidate genes form the plasmid. FAW can convert maize endophytes into its own probiotics to detoxify Bxs and thus enhance caterpillar growth. This represents a novel strategy for lepidopteran pests-transforming allies of the host into its own-thereby shedding light on the rapid spread of FAW and enhancing our understanding of ecological and evolutionary mechanisms underlying the pest-microbe-plant interactions. Video Abstract.

Influence of milling processing on mineral and proximate composition of maize products

AbstractMaize and maize products are major staples consumed worldwide and contain dietary nutrients essential for human nutrition. Processing methods influence the safety and nutritional quality of maize products. This study investigated the effect of different milling processing factors on the mineral and proximate composition of maize products. The study also estimated the contribution of maize products to daily mineral intake. An atomic absorption spectrophotometer was used to determine the mineral content of samples. Proximate composition was determined using methods of the Association of Official Analytical Chemists. A multiple 24‐h dietary recall was used to estimate daily mineral intake of respondents who consume maize products in a cross‐sectional study. The results obtained showed that milling methods influenced the mineral and proximate compositions of the maize products. Mineral content in the milled maize samples followed the order P > Mg > Zn > Fe. The wet milling method retained the highest Fe and P contents, whereas the dried milled sample showed an increased Mg content. The estimated daily mineral intakes of participants were below the World Health Organization recommended standard limits. The respondents were at risk of deficiency of the minerals Fe and Mg. Public health education on sufficient dietary intake of these essential minerals should be intensified.

Effect of Two Biofertilisers Based on Endophytic Fungi on Fall Armyworm Infestations in Maize Production in the Kara Region of Togo, West Africa

Aims: The aim of the study was to assess the efficacy of two biofertilisers based on endophytic fungi on infestation rates, foliar damage and maize yield losses caused by the armyworm, Spodoptera frugiperda, a worst maize pest. Study Design: Completely Randomized Design (CRD) with three types of treatments. Place and Duration of Study: Agronomic Experimentation Station of Tchitchao, Kara (Togo), between October 2019 and March 2020. Methodology: A complete randomized block design was used with three types of treatments: (i) maize seeds inoculated with Glomus sp. strain 142, (ii) maize seeds inoculated with Mycotri, (iii) maize seedlings fertilized with NPK and urea and finally (iv) a control consisting of seeds and/or seedlings of maize neither fertilized nor inoculated. Results: The results show that the plots treated with endophytic fungi recorded significantly lower infestation rates compared with the fertiliser treatments and the control. The highest infestation rates were 54% at 38 days after sowing (DAS) and 45% at 31 DAS for treatments with 5.35 x 105 spores/ha Glomus sp. and 0.38 kg/ha Mycotri, respectively, compared with 78% at 31 DAS and 62% at 38 DAS for fertiliser treatments and the control. The highest level of leaf damage, 2.92, was observed at 33 DAS on the plots fertilised with fertiliser, compared with scores of 2.53 and 2.38 for the plots mycorrhised with Glomus sp. and Mycotri, respectively. Yields were significantly higher in the fertilised plots (3.87 t/ha), followed by the mycorrhised plots (2.62-3.01 t/ha) and the control (1.73 t/ha). Conclusion: The endophytic fungi enabled the plants to tolerate fall armyworms attacks better than the controls, offering an alternative to chemical fertilisers and an effective option for managing soil fertility and controlling Spodoptera frugiperda.

Enhancing productivity and profitability of spring maize (Zea mays) in Uttarakhand's Tarai region through effective weed management practices and irrigation scheduling

A field experiment was conducted during the spring seasons of 2022 and 2023 at Norman E Borlaug Crop Research Centre, Govind Ballabh Pant University of Agriculture and Technology, Pantnagar, Uttarakhand to enhance maize yield and profitability. The experiment was conducted a split-plot design (SPD) with two irrigation scheduling treatments, viz. irrigation applied at an IW/CPE ratio of 0.8 (I1); and 1.2 (I2) in main plot and 8 weed management treatments, viz. W1, atrazine 1000 g/ha; W2, tembotrione 120 g/ha; W3, topramezone 25.2 g/ha; W4, atrazine 1000 g/ ha followed by hand-weeding at 35 DAS (days after sowing); W5, atrazine 1000 g/ha followed by tembotrione 120 g/ha; W6, atrazine 1000 g/ha followed by topramezone 25.2 g/ha; W7, weed-free; and W8, weedy check in sub-plots. Irrigation applied at IW/CPE ratio of 1.2 significantly improved the maize productivity and profitability, yielding higher net returns (₹66,206.9/ha) and grain yield (6.1 t/ha). Among the herbicidal treatments, atrazine 1000 g/ha followed by topramezone 25.2 g/ha recorded the highest weed control efficiency (80%) and maize grain yield (6.3 t/ ha). The percentage net monetary return was in the following sequence: W6 (100%) > W7 (92.4%) > W5 (91.8%) > W4 (89.6%) > W3 (81.5%) > W2 (78.2%) > W1 (67.6%) > W8 (46.4%). The percentage gain in grain yield was recorded in the following sequence: W7 (100%) > W6 (91.4%) > W5 (87.4%) > W4 (86.4%) > W3 (84.1%) > W2 (81.1%) > W1 (71.5%) > W8 (52.5%). In conclusion, optimizing irrigation to IW/CPE ratio of 1.2 and employing weed management practice atrazine (1000 g/ha) followed by topramezone (25.2 g/ha) application, can significantly enhance spring maize yield, weed control efficiency and economic returns in Uttarakhand's Tarai region.

Evaluation of Rabi Maize-based Intercropping System for Augmenting the Productivity and Profitability of Rabi Maize under Irrigated Conditions of Bihar

Background: A combination of maize and legume, cabbage and potato in intercropping benefits the agricultural production system due to different peak period of growth and synergistic effects, which reflected into yield advantage. In order to reduce nutritional competition and the yield gaps between actual production and production potential for both crops in the intercropping system, more information is required for the optimization of maize-based intercropping systems. So, keeping above fact in mind, the present study was undertaken to find out the suitable rabi maize based intercropping system for augmenting productivity and profitability of maize. Methods: A field experiment was conducted on the farmer’s field of selected villages of KVK Bhagalpur (on-farm trials) during the winter (rabi) season of 2020-21 and 2021-22 on rabi maize to validate, refine and popularize the technology developed at Bihar Agricultural University, Sabour, Bhagalpur (Bihar) and ICAR-Indian Institute of Maize Research (IIMR), Ludhiana, for enhancing the productivity and profitability of rabi maize. The experiment, comprising four treatments, viz., sole rabi maize (farmer’s practice), maize + potato (1:1 row ratio), maize + vegetable pea (1:2 row ratio) and maize + cabbage (1:1 row ratio), was arranged in a randomized block design (RBD) with five replications. All five farmers selected for experimentation were treated as replications. Result: Experimental results revealed that all three intercropping associations of maize + vegetable pea (1:2 row ratio), maize + potato (1:1 row ratio), maize + vegetable pea (1:2 row ratio) and maize + cabbage (1:1 row ratio) produced significantly higher maize equivalent yields than the sole crop of rabi maize. However, among the intercropping systems, maize + vegetable pea (1:2 row ratio) produced the highest maize equivalent yield (241.0 q/ha) and significantly incurred the highest net return (322093 ₹ /ha), as well as a higher B: C ratio (6.04) than the rest of the intercropping systems as well as sole crop of rabi maize.

Genetic remodeling of soil diazotrophs enables partial replacement of synthetic nitrogen fertilizer with biological nitrogen fixation in maize.

Increasing biological nitrogen (N) fixation (BNF) in maize production could reduce the environmental impacts of N fertilizer use, but reactive N in the rhizosphere of maize limits the BNF process. Using non-transgenic methods, we developed gene-edited strains of Klebsiella variicola (Kv137-2253) and Kosakonia sacchari (Ks6-5687) bacteria optimized for root-associated BNF and ammonium excretion in N-rich conditions. The aim of this research was to elucidate the mechanism of action of these strains. We present evidence from in vitro, in planta and field experiments that confirms that our genetic remodeling strategy derepresses BNF activity in N-rich systems and increases ammonium excretion by orders of magnitude above the respective wildtype strains. BNF is demonstrated in controlled environments by the transfer of labeled 15N2 gas from the rhizosphere to the chlorophyll of inoculated maize plants. This was corroborated in several 15N isotope tracer field experiments where inoculation with the formulated, commercial-grade product derived from the gene-edited strains (PIVOT BIO PROVEN® 40) provided on average 21kg N ha-1 to the plant by the VT-R1 growth stages. Data from small-plot and on-farm trials suggest that this technology can improve crop N status pre-flowering and has potential to mitigate the risk of yield loss associated with a reduction in synthetic N fertilizer inputs.

An Economic Analysis of Maize Production across Major Producing States of India

National Food Security Mission has been taken by Government of India to increase coarse cereal Maize production in the country to meet food, feed for livestock and poultry and industrial raw material, domestic as well as global demand. The traditional and modern industrial uses have made it one of the fastest growing cash crops in the world. Considering its global as well as national importance, In this article, we have analysed the relative change, growth rate and CDVI (cuddy-della valle-index) in cost, returns, profitability and break-even production of maize during the study period 2000-01 to 2018-19 of Maize across major Maize growing states of India. The study found that Cost A1, cost A2, cost B1, cost B2, cost C1 and cost C2 of maize was found to be increased higher in Madhya Pradesh with highly significant annual growth rate during the study period than other states. These cost concepts showed low to medium instability for almost all the leading states. The findings revealed that maize was more profitable in Bihar, followed by Andhra Pradesh and Karnataka, owing to higher net income and B:C ratios than in other states. Bihar states had higher differential yield and a greater discrepancy between the cost of production and the minimum support price. In some states, actual yields were lower than break-even, and production costs were greater than the minimum support price, resulting in losses for maize growers. The study's findings would help policymakers and governments devise appropriate development strategies and effective policies for less lucrative states.

Unravelling the Role of Phytohormones against Heat Stress in Maize

Background: Drought stress is a significant challenge for maize production, causing significant harm to crop growth and yield. In this experiment two set of pot culture experiment was conducted with three replication to assess the effect of phytohormone foliar spray on maize COH(M) 8. Methods: This experiment study was conducted at the Seed Science and Technology, TNAU in the summer season during 2022 and 2023, respectively. One set of potted plants were kept under ambient temperature (34±2°C). Another set of potted plants were raised at elevated temperature of 42°C in the Open Top Chamber. The plants were sprayed with sodium nitroprusside (50 ìM and 75 ìM), brassinolides (0.2 ppm and 0.5 ppm) and salicylic acid (50 ppm and 75 ppm) at 40 and 47 days after sowing along with control. Result: Foliar spraying with sodium nitroprusside 50 ìM and salicylic acid 75 ppm recorded higher plant height, early flowering, pollen viability, chlorophyll content and enzyme activities (catalase, peroxidase and superoxide dismutase) compared to the control plants. As a result, these findings suggest that use of sodium nitroprusside 50 ìM enhances plant defence mechanisms against heat stress in maize.

Stochastic Frontier Analysis of Technical Efficiency of Smallholder Maize Farmers in Morogoro Municipality: A Reflection from RIPAT Program

This study looks into the elements that influence maize production and technical efficiency among households participating in the RIPAT SUA Project in Morogoro Municipality, using stochastic frontier analysis for the 2022 – 2023 season. The focus was on socio-economic characteristics, land size, seed usage, use of fertilizer extension services, training from the project, and education. The primary objective was to examine the factors influencing maize production and efficiency by evaluating socioeconomic aspects and specific agricultural techniques. A total of 110 households were surveyed with standardized questionnaires. Socioeconomic data was collected, key variables were evaluated and key variables were analyzed using descriptive statistics and stochastic frontier analysis. The results reveal that land size harms productivity (β = -0.436, p < 0.001), whereas improved seed usage has a positive impact (β = 0.401, p = 0.016). Education level (β = -1.168, p = 0.002) and agriculture experience (β = -0.016, p = 0.049) considerably reduce technical inefficiency, insisting on the importance of education interventions. Additionally, 40% of households have access to VSLA, revealing financial problems. While 94.55% of households got training, only 18.18% received extension services which could hamper the best productivity. Every household reported owning land and using seeds highlighting that they had the necessary materials for maize production. Regarding technical efficiency, Magadu ward high score of 5%, while Kauzeni has the lowest at 1.9% suggesting significant disproportions in productivity among wards. These findings emphasize the importance of focused initiatives to improve agriculture productivity through enhancing farmer education and training, experience, and increased access to finance. These strategies are critical for improving maize productivity and addressing food security issues among households participating in programs like the RIPAT SUA initiative hence will increase agricultural efficiency and contribute to more farmer-sustainable farming methods throughout the region

Integrated organic and mineral fertilizer strategies for achieving sustainable maize yield and soil quality in dry sub-humid inceptisols

Maize is one of the important cereal crops grown in rainfed regions of northwestern Himalayas, however, persistent use of chemical fertilizers coupled with poor soil nutrients and water holding capacity due to coarse textured soils poses serious threat to sustaining maize yield and soil health. To address these bottlenecks, a long-term experiment with application of organic manures and mineral fertilizer provides insights to quantify changes in soil organic carbon (SOC), crop yield and rain water use efficiency (RWUE) in rainfed area having low water use efficiency. A twelve years field experiment was conducted under dry sub-humid Inceptisols in northern India to study the potential impacts of organic and mineral fertilization on maize (Zea mays L.) productivity, water use efficiency and soil quality. Ten treatments were assessed, involving different nitrogen levels (20, 30, and 40 kg N ha⁻¹) combined with 10 tha⁻¹ year⁻¹ of farmyard manure (FYM), in-situ green manure from sunhemp, and the incorporation of Leucaena leucocephala leaves at 5 tha⁻¹ year⁻¹, including an unfertilized control. Maize yield increased linearly with increasing nitrogen application rates. The combination of FYM @ 10t ha−1 and 40 kg N ha−1(T4) yielded the highest maize production. Manure addition improved soil organic carbon (SOC) and major soil nutrients (N, P and K) while unfertilized control showed decline in soil nutrients compared to their initial values. Compared with control, incorporation of 10 t ha−1 FYM increased SOC by 1.3, 1.41, 1.44 times at application rate of 20, 30, 40 kg N ha−1, respectively. Application of N@40 kg ha−1 + 10t FYM ha−1 showed highest rain water use efficiency (RWUE) and relative production efficiency index (RPEI) (2.74 kg ha−1 mm−1 and 82, respectively) and the lowest rank sum of 6. Highly significant positive relationship existed between RPEI and RWUE, RPEI and sustainability yield index (SYI), RWUE and SYI indicated the superiority of FYM in combination with mineral fertilizer. Regression models, correlating yield with monthly rainfall and crop growing periods, indicated that the integration of FYM (10 tha⁻¹) with 40 kg N ha⁻¹ was most effective in achieving the highest relative soil quality index (RSQI) of 76 and the greatest sustainability yield index (SYI) of 49.3%. Based on results, we recommend balanced fertilization (N@40 kg ha−1 +10t FYM ha−1) which is easily manageable by farmers as the optimal strategy for improving soil quality and achieving sustainable maize productivity in nutrient depleted Inceptisols of northern India.

Effect of planting methods and tillage practices on soil health and maize productivity

Effect of planting methods and tillage practices on soil health and maize productivity

Assessment of genetic diversity and heterotic alignment of CIMMYT and IITA maize inbred lines adapted to sub‐Saharan Africa

AbstractDespite the breeding efforts by many institutions, maize (Zea mays L.) productivity in sub‐Saharan Africa is still low. A limited number of productive maize hybrids have been developed partly due to a lack of knowledge on the diversity and heterotic relationship of the germplasm, especially in public breeding programs. Understanding the extent of diversity, structure, and heterotic grouping of available maize germplasm originating from different breeding programs is important to enhance long‐term genetic gain in hybrid maize breeding programs by optimizing heterotic pools using modern breeding tools. Information about the genetic structure of the available germplasm could help breeders design effective breeding strategies to improve yield. This study was conducted to determine the genetic diversity, population structure, and heterotic alignment among 187 elite maize inbred lines from the IITA (International Institute of Tropical Agriculture) and CIMMYT (International Maize and Wheat Improvement Center) maize breeding programs. The inbred lines were genotyped with 9857 Diversity Array Technology sequencing based single nucleotide polymorphism markers. Hierarchical clustering revealed three major groups, with some subgroups consistent with the selection history, and pedigree of the inbred lines. Three broad groups were detected: two consisting of CIMMYT lines and a mixed group consisting of both CIMMYT and IITA inbred lines. The STRUCTURE analysis revealed six subpopulations (fixation index value = 0.58), which depicts a moderate genetic diversity among the materials. Population 2 comprises the highest number of genotypes (102) from both programs. More than 89% of the elite lines had homozygosity exceeding 95%, with the remaining lines requiring further inbreeding through repeated self‐pollination. There was inconsistency in the predetermined heterotic groups' alignment between CIMMYT and IITA elite inbred lines. Analysis of molecular variance revealed that 96% of the total variation was accounted for by differences within groups, with the remaining 4% representing the variation between groups. This suggests that the two programs can benefit from germplasm exchange for the improvement of maize productivity.

Can survey design reduce anchoring bias in recall data? Evidence from smallholder farmers in Malawi

Abstract Recall biases in retrospective self-reported survey data have important implications for empirical research. We leverage the survey design literature and test three strategies to attenuate mental anchoring in retrospective data collection: question ordering, retrieval cues and aggregate (community) anchoring. We focus on maize production and happiness reports among smallholder farmers in Malawi. Asking for retrospective before concurrent data on average reduces recall bias (i.e. the deviation of the recalled versus the concurrent outcome reported in the previous period) by 34 per cent for maize production, a meaningful improvement with no increase in data collection costs. Retrieval cues are less successful and community anchors can exacerbate the bias. None of the strategies help to ease the recall bias for happiness reports.

Assessment of Socio-Economic Determinants of Maize Production among Smallholder Farmers in Nassarawa State, Nigeria

The study focused on assessment of socioeconomic determinants of maize production among smallholder farmers in Nasarawa State. A multistage sampling technique was used for the selection of 171 small holder farmers for the study. A well-structured questionnaire containing both open and closed ended questions was used to collect the data for the study descriptive statistics such as percentage and frequencies and multiple regression analysis were used to achieve the objectives of the study. The socioeconomic result of the smallholder maize farmers in showed that the majority (36.3%) of the farmers were within the age range of 31-40 years of age and were mostly 76.6%) male farmers with the majority married and literate. Also, a greater number (66.1%) were members of association, 71.3% had farming experience between the range of 16-20 years with household size of 4-6, cultivating average farm size of 2-3 acres, had good contact with extension agents though only 4.1% had access to credit facility. The result of the multiple regression analysis showed that farm size, educational status and household size have positive significant effect on the output of maize at 1% and 10% level of significance respectively. The maize production technologies adopted by the majority (88.4%) of the farmers were herbicides and improved variety while the major constraints were high cost of labour, high cost of inputs and poor credit facility. The federal Government should create an enabling environment that guarantees available farmland to farmers since farm size is a critical determinant to maize production.

Contrasting performance of panel and time-series data models for subnational crop forecasting in Sub-Saharan Africa

We comprehensively examine methodologies tailored for subnational crop yield and production forecasting by integrating Earth Observation (EO) datasets and advanced machine learning approaches. We scrutinized diverse input data types, cross-validation methods, and training durations, focusing on maize production and yield predictions in Burkina Faso and Somalia. Central to our analysis is the comparative assessment of using time-invariant features within a panel data (PD) model versus a time-series data (TD) model. The TD model performed well in predicting both production and yield, while the PD model offered comparable yield predictions. Time-invariant features such as livelihood zones, soil properties, and cropland extents enriched the spatial understanding of crop data, enhancing the R-squared by 0.09 (0.21) for production and 0.11 (0.03) for yield, with corresponding reductions in the Mean Absolute Percentage Error by 90 % (238 %) for production and 5 % (4 %) for yield in Burkina Faso (Somalia). While Burkina Faso's consistent crop data allowed for effective modeling with brief training, Somalia benefited from the adaptability of the PD model to crop statistics outliers, particularly with extended training in high-producing regions. The PD approach showed promise in addressing data gaps, although predicting crop productions for unobserved districts remained a challenge. Our findings highlight the harmonious integration of EO data and machine learning in the field of agricultural forecasting and emphasize the importance of region-specific methodologies, especially in the rapidly changing landscape of EO data convergence.

Drip irrigation and mulching reduce weed interference and improve water productivity of spring maize

Abstract Drip irrigation and mulching were tested to minimize unproductive water loss through evaporation and weed interference. A field experiment was conducted during spring season of 2020 and 2021 in split plot design with three replications. The study includes six treatment combinations of drip irrigation methods (surface drip and subsurface drip irrigation) and mulching (black plastic, paddy straw and no mulch) along with one conventional furrow irrigation without mulching (as control) in main plots. Four weed control treatments (atrazine 1000 g a.i./ha as pre-emergence, two hand weedings at 30 and 60 days after sowing [DAS], weed free and weedy for whole crop growth period) were kept in the subplots. The combination of drip irrigation and mulches significantly enhanced leaf area index and crop biomass at 60 DAS than furrow irrigation. Integration of subsurface drip irrigation with plastic mulching resulted in the lowest weed density and biomass among main plots. Drip irrigation coupled with plastic and straw mulching resulted in 86 and 50% reduction in weed density and biomass, respectively, as compared to no mulching. Integration of subsurface drip with paddy straw mulch and black plastic mulch resulted in 17.1 and 15.5% higher maize grain yield, respectively, as compared to furrow irrigation. The highest irrigation water productivity (3.58 kg/m3) was observed in combination of subsurface drip and paddy straw mulch followed by combination of subsurface drip and black plastic mulch (3.51 kg/m3). Overall, straw mulching in drip irrigation system proved economical in terms of maize productivity.

Optimizing plastic film mulch to improve the yield and water use efficiency of dryland maize in the Loess Plateau, China.

Knowledge on the variation of yield and water use efficiency under different mulching methods is important for guiding rained maize production in the Loess Plateau area. In this study, eight different plastic film mulching methods was established to analyze the maize growth, soil water content and soil temperature changes of dryland maize, and increase yield and water use efficiency (WUE). The field experiment was conducted in 2019, and eight treatments were set up, including a traditional flat planting without mulching (CK), ridge-furrow with ridges mulching black plastic film and furrows mulching straw (HJ), ridge-furrow with ridges mulching black plastic film and furrows bare (HL), ridge-furrow with ridges mulching liquid plastic film and furrows mulching straw (YJ), ridge-furrow with ridges mulching liquid plastic film and furrows bare (YL), ridge-furrow with ridges mulching biodegradable plastic film and furrows mulching straw (SJ), ridge-furrow with ridges mulching biodegradable plastic film and furrows bare (SL) and ridge-furrow with ridges bare and furrows mulching straw (NJ). Furthermore, the AHP-TOPSIS was employed to evaluate the optimal mulching method for maize. The results showed that compared with CK and NJ treatment, the soil water content and soil storage were significantly changes with other treatments in the reproductive period of maize. Among the six mulching methods, maize yield in HJ, HL, YJ, YL, SJ, and SL treatments were 46.28%, 61.95%, 70.30%, 51.02%, 52.02% and 53.53% significantly greater than CK treatment. In addition, dryland maize WUE was 66.53% and 84.01% higher in the YJ and YL treatments with ridges mulching liquid plastic film than in the CK treatment, respectively. The optimal treatments of economic benefits were YL and HJ. Through AHP-TOPSIS comprehensive analysis, the optimal mulching methods were YL and HJ treatment. Current field trials indicate that YL treatment could serve as a promising option to improve dryland maize yield, WUE, and reducing environmental risks in the Loess Plateau of China.

Influence of Crop Residue Management on Maize Production Potential

Residue management at the farm level is essential for ensuring sustainable agricultural productivity. This field experiment, initiated in 2005, provides maize data from 2016 to 2018. This study evaluates the impact of crop residue management and fertilization on maize yield and yield components. Maize was grown in a crop rotation sequence consisting of field pea (Pisum sativum L.), durum wheat (Triticum durum Desf.), milk thistle (Silybum marianum (L.) Gaertn.), and maize (Zea mays L.). The measures studied include aboveground biomass removal (K), aboveground biomass incorporation (R), mineral fertilizer application (F), and their combination (RF). The results indicate that R and RF significantly improve yield parameters, such as kernel number per ear (KNE), thousand seed weight (TSW), stalk yield, and harvest index (HI), compared to control (K) or aboveground biomass incorporation alone (R). Grain yield varied across the years, with significant increases being observed for the fertilizer treatments, particularly when combined with straw or stalk incorporation. A nominal increase in grain yield of 1.43 t ha−1 for the F treatment and 1.86 t ha−1 for the RF treatment represents an increase of 39% to 51% compared to K and R. Strong positive correlations were observed between grain yield and several factors, including ears per hectare (0.61), KNE (0.94), TSW (0.61), and HI (0.85). These findings underscore the role of crop residue management and promoting sustainable crop production.

Impact of the entomopathogenic fungus Metarhizium anisopliae (Metchnikoff ) Sorokin on Spodoptera frugiperda (J.E Smith), an invasive maize pest in Chad

The invasion of agricultural plots by Spodoptera frugiperda (J.E Smith) constitutes a serious constraint to the sustainable maize production in Chad. Since then, farmers have unsuccessfully used available chemical insecticides to control this pest at that respect, the present study evaluated the bio-efficacy of two strains (Chinese and Senegalese) of Metarhizium anisopliae on the pest, both under laboratory and field conditions. Laboratory results showed that both strains were virulent against FAW resulting in a mortality of 90 ± 5.77% for the strain from Senegal and 75 ± 5.00% for that from China. In the field, significant differences were observed among the four treatments tested, namely the two M. anisopliae strains (2.5 kg/ha), the control and Emamectin benzoate (20g/ha) for both the infestation of maize plants and FAW densities (P <0.05). Meanwhile, maize grain yields were significantly the highest in plots treated with Emamectin benzoate followed by plots treated with either of the two strains of the fungus whose yields were statistically similar (df = 3; F = 27.13; P <0.0001). This biopesticide was more virulent under laboratory and field conditions and could be a promising biological control agent against S. frugiperda as an alternative to synthetic insecticides. However, additional studies that evaluate the implementation cost of the microbiological control are very necessary for more objective and robust conclusions. Key words: Fall armyworm, microbiological control, Zea mays, Emamectin benzoate, biopesticides.