Maize Yield Response Research Articles

Growth and yield responses of maize to different tillage practices and straw incorporation under different levels of gypsum in a saline-sodic soil

Soil salinity is one of the significant issues in crop production and its adverse effects have been noticed at various stages of a crop life cycle therefore to assess the remedies for mitigation of soil salinity, the present study was conducted in Khipro district, Sanghar, Sindh, Pakistan during 2018-19. The experiment was laid out in Randomized Complete Block Design (RCBD), to evaluate the growth and yield responses of maize to different tillage practices and straw incorporation under different levels of gypsum in a saline-sodic soil. The factorial study was consisted of three factors including: Tillage practices (shallow tillage [ST] and deep tillage [DT], Wheat straw incorporation (3, 7, and 10 ton. ha-1) and gypsum rates (13.5, 9 and 4.5-ton ha-1). The comparative results showed that Deep Tillage DT with wheat straw incorporation at 10-ton ha-1 (DTWS10) had significantly higher result in term of growth and yield traits followed by shallow tillage ST at 10-ton ha-1 (STWS10). Moreover, the lowest results regard growth and yield attributes were observed in Shallow tillage ST with no wheat straw incorporation (STCK) Additionally, It was also observed that gypsum application did not have significant effect (P > 0.05) on maize growth and yield, but it mitigated soil salinity and sodicity, contributing to improved crop growth and yield. Therefore, incorporating straw into saline-sodic soils can significantly (P < 0.05) enhance maize yield and its attributes, with notable effects observed after two years of treatment.

Cow Dung Liquid Mulch Improves Maize Yields: Beneficial Microorganisms Are Enriched and Environmental Risks Are Reduced and Nutrient Cycling Is Promoted

Cow dung liquid mulch (CDLM), which uses cow dung as a raw material, has a good degradability and is a potential alternative to traditional plastic agricultural mulch, but there is a lack of research on the effects of CDLM on rhizosphere soil physicochemical properties, rhizosphere soil microbial functions, and crop yields. In this study, the link between maize yield, environmental factors, and functional genes as well as the responses of microbial community functions to CDLM and polyethylene mulch (PE) were studied using metagenomic sequencing. Functional annotation was also performed on clusters of orthologous groups of proteins, the Kyoto Encyclopedia of Genes and Genomes, and carbohydrate-active enzyme sequencing data. The results showed that CDLM significantly increased maize yield by 30.9% compared to CK while maintaining lower soil microplastic levels. CDLM promotes the enrichment of beneficial microorganisms such as Mycolicibacterium and Pseudomonas. The relative abundance of functional genes related to microbial metabolism, soil element cycling pathways, and organic matter degradation was significantly higher in CDLM than in CK. Microbial functional genes were positively correlated with maize yield and environmental factors such as soil nutrients. These results suggested that CDLM can improve maize yield by enriching beneficial microorganisms, reducing rhizosphere soil environmental risks, and enhancing rhizosphere soil microbial function. Rhizosphere soil nutrients and microbial functional genes together mediated the positive response of maize yield to CDLM. This study can provide a scientific basis and data support for the safe use of mulch in the future.

Maize yield and Fall armyworm damage responses to genotype and sowing date-associated variations in weather conditions

Due to climate disruption and delayed onset of rains, maize is often sown late, outside the optimal window, increasing the impact of pests such as fall armyworm and reducing yields. Identifying optimal sowing dates and the best genotypes is crucial to maximise yields while limiting fall armyworm (FAW) damage. Thus, this study was undertaken to evaluate yield and FAW damage variation in relation to sowing-date weather conditions to determine the optimal sowing window. The experiment had a split-plot design with four genotypes ('PVAH-1 L', 'PVAH-3 L', 'PVAH-6 L' and 'SAM 4 VITA') and four sowing dates (30 November to 14 January and delayed by 15, 30 and 45 days) during the three consecutive cropping seasons. Abundant rainfall and a high number of wet days increase yields while reducing FAW damage. The genotype shows that 'PVAH-1 L' has ear resistance (3.24) and leaf partial resistance (4.05) to FAW, with a high yield (6.54 t.ha−1). In contrast, 'PVAH-3 L' (4.27 and 5.05), 'PVAH-6 L' (4.24 and 4.37) and 'SAM 4 VITA' (4.25 and 4.00) show partial resistance to FAW in both ears and leaves, but have relatively lower yields, except for 'PVAH-6 L' (6.29 t.ha−1). Maize sown on 15 December had a high yield (8.76 t.ha−1), similar to those sown on 30 November. However, sowing on 30 December and 14 January reduced yields by 2 t.ha−1 and 7 t.ha−1 respectively, while increasing FAW infestation and damage. Therefore, in the Lubumbashi region, due to the delayed onset of rains and climatic disturbances, the sowing period can be extended to 30 December, with an optimal window extending from 30 November to 15 December. To maximise yields and limit FAW damage, it is recommended that 'PVAH-1 L' be sown on 15 December, 'SAM 4 VITA' on 30 November or 15 December and 'PVAH-6 L' on 30 November or 15 December.

Functional and mechanistic assessment of plant-available soil phosphorus greatly improved the multisite diagnosis of maize yield response

Context or problemPlant-available soil phosphorus (P) is commonly assessed by chemical extractions with the purpose of diagnosing and advising fertilizer P application. However, for a given crop, this approach only poorly predicts yields obtained from several experimental sites. To solve this major drawback, a functional and mechanistic evaluation has been developed to mimic dominant processes involved in the absorption of phosphate ions. Objective or research questionIn this study, we investigated the predictive ability of a mechanistic approach to diagnose maize (Zea mays L.) yields, in comparison to the common Olsen's method (0.5 M bicarbonate solution). MethodsThe processes-based assessment consists of parameterizing relationships between amount of diffusible phosphate ions (Pr) at the solid-to-solution interface equilibrating the phosphate ions concentration in solution (CP) with time (t). We parameterized [Pr vs. (CP, t)] relationships for stored and archived soil samples (plough layer) of nine long-term field experiments (LTFEs) on increasing rates of P applications including the zero-P treatment (P0). LTFEs were located in different soils (Luvisol, Podzol, Arenosol, Calcosol) with large variations in physico-chemical properties. We also used LTFEs database of maize yields. ResultsThe CP values ranged from 0.02 to 3.86 mg P L−1 for 40 (LTFE×year of maize cropping) combinations. The (Pr=v×CPw×tp) equation closely described the [Pr vs. (CP, t)] datasets, with (v, w, p) parameters being soil specific. Maximum yields ranged from 5.5 to 14.7 t DM ha−1 depending on LTFEs and years. Yields decreased significantly only in P0, and did not differ for other P rates. The relationship between the relative maize yield and CP was sites-specific with CP thresholds to obtain a relative yield of 0.95 ranged from 0.07 to 0.88 mg P L−1 solution. Taking into account amounts of phosphate ions which balance CP by diffusion using (Pr=v×CPw×tp) equations, a single response curve is observed for the 9 LTFEs when the replenishment time is 1500 minutes (i.e. about one day). The critical CP thresholds closely correlated to the ability of the soil solid phase to buffer phosphate ions in solution. ConclusionsFor the 9 studied LTFEs on P fertilization, the [Pr vs. (CP, t)] relationships were more able to account for maize response curves than P extracted by Olsen method, improving the precision and reliability of the multisite diagnosis of maize yield response. Implications or significanceAs a result, P fertilization recommendations are more reliable regardless of soil type. Further progress could be gained by taking into account for the role of the soil layer beneath the plough layer.

Redesigning and validation of fertilizer use in maize for variable plant densities in central rift valley and Jimma in Ethiopia.

Due to low adoption and sub-optimal fertilizer use and planting density recommendation in maize, redesigning and testing these technologies are required. The study was conducted to evaluate redesigned fertilizer use of maize in two pant densities (32,443 and 53,333 plants ha-1 in Central Rift Valley (CRV); 27724 and 62,000 plants ha-1 in Jimma) on farmers' fields in contrasting agro-ecologies of Ethiopia. The on-farm study was conducted in the 2017 and 2018 cropping seasons with 3 × 2 fertilizer and plant density, factors in both regions of Ethiopia. In redesigned fertilizer use, nutrients were estimated based on the target yield. In this study, 40.8, 0.0, and 12.2 kg ha-1 N, P, and K were estimated for the redesigned fertilizer use in CRV (50% of water-limited potential yield (Yw) = 3.1 t ha-1) whereas in Jimma (50% of Yw = 7.5 t ha-1) 149.8, 9, 130.6 kg ha-1 N, P and K were estimated to produce the 50% of Yw. Linear mixed modeling was used to assess the effect of fertilizer-plant density treatments on maize yield and nutrient use efficiency. The result revealed that the average estimated maize yield for WOF, FFU, and RDFU fertilizer treatments were 2.6, 3.6, and 4.5 t ha-1 under current plant density (32,443 plants ha-1) in CRV whereas the average yields of these treatments were 3.2, 4.5 and 4.5 t ha-1 respectively when maize was grown with redesigned plant density (53,333 plants ha-1) in the same location. The average maize yield with WOF, FFU, and RDFU were 3.0, 4.6, and 4.6 t ha-1 with 27,774 plants ha-1 plant density in Jimma whereas the average maize yields over the two seasons with the same treatments were 4.3, 6.0 and 8.0 t ha-1 respectively when the crop is planted with 62,000 plants ha-1 plant density. The RDFU and redesigned plant density resulted in significantly higher yield compared to their respective control CRV but RDFU significantly increased maize yield when it was planted at redesigned (62,000 plant ha-1) in Jimma. FFU and RDFU were economically viable and redesigned plant density was also a cheaper means of improving maize productivity, especially in the Jimma region. Soil organic carbon and N were closely related to the grain yield response of maize compared to other soil factors. In conclusion, this investigation gives an insight into the importance of redesigned fertilizer use and redesigned plant density for improving maize productivity and thereby narrowing the yield gaps of the crop in high maize potential regions in Ethiopia like Jimma.

Growth and yield response of maize to integrated nutrient management of chicken manure and inorganic fertilizer in different agroecological zones

The productivity of maize, an essential staple food crop in Africa, is severely constrained by the declining fertility of the soil. The combined use of organic and inorganic fertilizers could ameliorate this challenge in a sustainable way to boost maize productivity. Two field trials were conducted at Ashanti -Mampong and Damongo, in the transitional and Guinea Savannah agroecologies of Ghana respectively, to assess the influence of sole and integrated application of chicken manure and NPK fertilizer on the growth and yield of maize. The treatments included two maize varieties; Abontem and Obatanpa, and five fertilizer rates; 3 t/ha chicken manure (CM), NPK (65:38:38 kg ha−1 NPK), ½ CM + ½ NPK and ¾ CM + ¼ NPK and control (no fertilizer). A 2 x 5 factorial randomized complete block design with three replications was used. Significant variations (p < 0.05) were revealed between varieties, fertilizer types and their interaction effects for phenological, growth and yield of maize in both locations. The superiority of the integrated application of NPK and chicken manure was also visible in the vegetative parameters such as plant height, number of leaves and shoot dry weight of the maize plants given them the comparative advantage to assimilate more photosynthates for partitioning to the ears and grains. Obatanpa treated with ½ CM + ½ NPK produced the highest yield of 4661.1 kg ha−1, which was 29.6 and 29.9 % higher than the same variety grown on sole NPK and sole chicken manure, respectively at Damongo. Abontem treated with ¾ CM + ¼ NPK recorded a grain yield of 4479.3 kg ha−1, 11.7 % higher than the sole NPK and 10.3 % higher than the sole CM at Damongo. Similarly, Obatanpa grown on the ½ CM + ½ NPK recorded the highest grain yield of 4349.3 kg ha−1at Mampong followed by Abontem treated with the sole NPK (4267.1 kg ha−1). Sole NPK and the combined application of NPK and chicken manure gave comparable responses for vegetative traits while the integrated application proved superior for grain yield of maize across the two agroecologies.

RELATIONSHIP BETWEEN RAINFALL VARIABILITY AND MAIZE YIELD IN APA LOCAL GOVERNMENT AREA OF BENUE STATE, NIGERIA

This study investigated the relationship between rainfall variability and maize yield in Apa Local Government Area of Benue State. The specific objectives were to analyse the trend in rainfall distribution and its impact on maize yield and to provide recommendations to improve maize productivity in the study area. Rainfall data was sourced from the archives of the Nigerian Meteorological station, Oshodi, Lagos; the maize yield data was collected from the archives of Benue State Agricultural and Rural Development Agency (BNARDA). The rainfall and maize yield data for 33 years (1988-2021) were used to characterise the maize yield response to rainfall pattern (increase or decrease). Trend-line equation was used to show the trend of rainfall, while Pearson's Correlation Coefficient (r) showed the degree of relationship between rainfall and maize yield. The results of the trend-line regressions showed an increase in total annual rainfall (y = 7.1873x + 1106.4) and an increase in maize yield (y = 0.0319x + 2.3239). The correlational trend chart showed a positive relationship between total annual rainfall and maize yield (r = 0.19), indicating that rainfall positively influenced yield. The study recommended that early warning weather information and climate-resilient varieties are needed to improve maize productivity. Extension services should also be provided to enhance farmers' knowledge on rainfall variability and its effects on maize yield.

Adaptation to priming drought at six-leaf stage relieves maize yield loss to individual and combined drought and heat stressors around flowering

The frequency and magnitude of drought and heat events are predicted to increase, exerting adverse effects on maize yield. Repeated stress events may lead to critical stage or process shifts in maize yield response, but few studies document such shifts. In this experiment, maize plants were exposed to drought at the six-leaf period (V6) to investigate the priming effects on maize yield formation under control (CK), drought stress (DS), heat stress (HS), and combined drought and heat stress (DHS) occurring around flowering (AF). The stressors was significantly reduced maize yield by 10.0%–41.4% compared with T1 (V6CK+AFCK), with the exception of the T5 (V6DS+AFCK) treatment. Fortunately, compared with T1 (V6CK+AFCK), T2 (V6CK+AFDS), T3 (V6CK+AFHS), and T4 (V6CK+AFDHS) treatments around flowering, exposure to drought at V6 improved yield by 6.4%, 11.1%, 2.6%, and 33.4%, respectively. The increased yield in stressors around flowering was attributed to the enhancement of kernel numbers (KNS) and kernel weight (KW). However, KNS and KW showed variable responses to treatments. Drought exposure at V6 relieved KNS loss without stressors around flowering, as the fertilized florets increased by 2.7%. The KNS loss in DS and DHS treatment around flowering was reversed via seed setting, increased by 6.0% and 7.4%, resulting from strengthened sugar-starch conversion. Furthermore, the reduced KW in HS and DHS treatment around flowering was improved due to increased starch synthesis ability during kernel filling. Consequently, drought priming at the V6 stage increased seed setting, sugar-starch conversion, and starch synthesis ability, improving KNS and KW, offering a method to relieve yield loss under stressors around flowering.

Safe Sowing Windows for Smallholder Farmers in West Africa in the Context of Climate Variability

Climate variability poses great challenges to food security in West Africa, a region heavily dependent on rainfall for farming. Identifying sowing strategies that minimize yield losses for farmers in the region is crucial to securing their livelihood. In this paper, we investigate three sowing strategies to assess their ability to identify safe sowing windows for smallholder farmers in the Sudanian region of West Africa (WA) in the context of a changing climate. The GIS version of the FAO crop model, AquaCrop-GIS, is used to simulate the yield response of maize (Zea mays L.) to varying sowing dates throughout the rainy season across WA. Based on an average of 38 years of data per grid cell, we identify safe sowing windows across the Sudanian region that secure at least 90% of maximal yield. We find that current sowing strategies, based on minimum thresholds for rainfall accumulated over a period that are widely applied in the region, carry a higher risk of yield failure, especially at the beginning of the rainy season. This analysis shows that delaying sowing for a month to mid-June in the central region (east of Lon 8.5°W), and to early August in the semi-arid areas is a safer strategy that ensures optimal yields. A comparison between the periods 1982–1991 and 1992–2019 shows a negative shift for LO10 mm and LO20 mm, suggesting a wetter regime compared to the dry periods of the 1970s and 1980s. On the contrary, we observe a positive shift in the safe window strategy, highlighting the need for precautions due to erratic rainfall at the beginning of the season. The precipitation-based strategies hold a high risk, while the safe sowing window strategy, easily accessible to smallholder farmers, is more fitting, given the current climate.

Nitrogen Fertilization and Cultivar Interactions Determine Maize Yield and Grain Mineral Composition in Calcareous Soil under Semiarid Conditions.

Identifying the contributions of climate factors and fertilization to maize yield is significant for the assessment of climate change impacts on maize production under semiarid conditions. This experiment was conducted with an overall objective to find how N fertilization and cultivar interactions along with climatic conditions determine the mineral composition and maize yield responses of four divergent maize cultivars grown under eight different fertilization levels. The results showed that element contents were significantly affected by year (Y), cultivar (C), N fertilization, and N × C interaction. The element contents of grains were mainly influenced by N rate or N × C interactions. The results showed that maize yield was significantly affected by year (Y), genotype (G), N fertilization (N), and Y × G × N interaction. These results implied that the maize yield was significantly affected by changes in genotypes and environments. Overall, our findings are a result of the interactions of genetic, environmental, and agronomic management factors. Future studies could evaluate more extreme plant densities, N fertilizer levels, and environments to further enhance our understanding of management effects on the mineral composition and maize yield in calcareous soil.

Response of maize yield to changes in soil organic matter in a Swedish long‐term experiment

AbstractAgricultural practices that lead to soil carbon sequestration may be a win–win strategy for mitigating global warming and improving soil fertility and resource use efficiency. The mechanisms through which soil organic carbon (SOC) concentration affects crop yields are numerous but difficult to separate. The objective of this study was to disentangle these processes and estimate to what extent the yield response to SOC is mainly driven by changes in physical or biochemical properties and processes. This was achieved by analysing the response of yields in continuous maize to SOC concentrations during 20 years (2000–2019), which had evolved in 14 experimental treatments in a Swedish long‐term field experiment at Ultuna since 1956, ranging from 0.94% to 3.65% in the topsoil (0–20 cm). Average maize yields during this period varied between 1.9 and 8.4 Mg dry mass per hectare in the different treatments. The treatments comprise applications of different mineral nitrogen (N) fertilizers and organic amendments and combinations thereof. Our analysis showed that maize yield in the treatments that were not severely limited by nitrogen supply or soil acidity increased by 16% for each percentage unit increase in SOC. We applied the widely used concept of critical N concentration in plant biomass to diagnose the N status in maize in the different treatments (N nutrition index [NNI]) and parameterized a response function between yield and pH (RpH). Dry soil bulk density (BD) was used as a proxy for soil physical properties. These three variables NNI, RpH and BD explained 95% of the variation in maize yields among treatments. Further analysis of the relationship between BD, SOC and plant available water capacity revealed that about two thirds of the yield increases in response to SOC change could be ascribed to associated changes in soil physical properties. Our analysis suggests that the extra storage capacity of water, which increased by up to 15 mm in the topsoil for each unit percentage increase in SOC, was the main driver for the observed yield responses. We conclude that measures for increasing SOC in soils most likely are an effective adaptation strategy for reducing the risk of crop damage during dry spells, which probably are becoming more frequent in the future due to climate change, even in relatively humid climates as in Sweden.

Response of maize yield and nitrogen recovery efficiency to nitrogen fertilizer application in field with various soil fertility.

Appropriate nitrogen (N) management system is essential for effective crop productivity and minimizing agricultural pollution. However, the underlying mechanistic understanding of how N fertilizer regulates crop yield via soil properties in soils with different fertilities remains unresolved. Here, we used a field experiment that spanned 3 cropping seasons to evaluate the grain yield (GY), aboveground biomass and N recovery efficiency (NRE) after treatment with five N fertilizer application rates (N0, N75, N112, N150, and N187) in soils with three levels of fertility. Our results indicated that the highest GY across low, moderate, and high fertility soils were 1.5t hm-2 (N150), 4.9t hm-2 (N187), and 5.4t hm-2 (N112), respectively. The highest aboveground biomass and NRE were observed at N150 for all three levels of soil fertility, while only the N uptake by aboveground biomass of low and high fertility soils decreased at N187, confirming that excessive N fertilization results in a further decline in crop N uptake. The relationship between GY, NRE and N fertilizer application rates fit the unary quadratic polynomial model. To achieve a balance between grain production and environmental benefits in N fertilizer, appropriate N fertilizer rates were determined to be 97.5kg hm-2, 140kg hm-2 and 131kg hm-2 for low, moderate and high fertility soils, respectively. Structural equation modeling suggested that GY was significant correlated with soil microbial biomass carbon (SMBC) and N directly in low fertility field, with SMBC directly in moderate fertility field, and via SOC and NO3 -N in high fertility field. Therefore, a soil-based management strategy for N fertilizers could enhance food security while reducing agricultural N fertilizer inputs to mitigate environmental impacts.

Fertilizer use efficiency and economic viability in maize production in the Savannah and transitional zones of Ghana

Increasing fertilizer use is highly justified for sustainable agricultural intensification if yield response, fertilizer use efficiency (FUE), and economic viability of fertilizer application are high. Despite the increasing fertilizer application rates in Ghana, yields only marginally increased. Also, the recent fertilizer price hikes post COVID-19 revived concern for economic analysis of fertilizers. This study analyzed the FUE and economic viability of fertilizer use in maize production in Guinea/Sudan Savannah and Transitional/Deciduous zones of Ghana. Survey data from 2,673 farmers in the 2019, 2020, and 2021 production seasons were used. The average agronomic efficiency (AE), partial factor productivity (PFP), and value-cost ratio (VCR) of fertilizer use were 2.2 kg of grains per kilogram of fertilizer, 18.3 kg grains per kilogram of fertilizer, and 1.8 Ghana cedis of marginal yield per Ghana cedi spent on fertilizer, respectively. Fertilizer use was economically viable for only 28.1% of farmers with a VCR of 2 or higher, while 52.5% reached the break-even point with a VCR of at least 1. Various fertilizer formulations, including NPK plus sulfur, and adoption of integrated soil fertility management (ISFM) practices, particularly improved seeds, organic fertilizers, and minimum tillage, improved maize yield response to fertilizer and thus the FUE. These low efficiency and economic viability of fertilizer use are prevailing conditions in other sub-Saharan Africa (SSA) countries and these do not guarantee sustainable food security and improved livelihood of the farmers in the region. Ghana’s Ministry of Food and Agriculture (MoFA), together with relevant stakeholders, should provide guidance on ISFM and intensify farmer education through farmer associations to increase the adoption of ISFM. The local government should work with other relevant stakeholders to improve the market conditions within the agriculture sector, for instance, by linking farmers to city markets for favorable output prices.

Thresholds and extent of temperature effects on maize yield differ in different grain-filling stages

Temperature is a vital environmental factor affecting grain filling and maize yield. The response of maize yield to temperature at different stages of grain filling, however, remains uncharacterized. This study used “Zhengdan 958” as the test material to analyze the high-temperature threshold and yield sensitivity of grain-filling in different periods without water stress by using the data from staging sowing experiments at agro-meteorological experimental stations in Hebi and Suzhou in the Huang-Huai-Hai Plain from 2019 to 2022. The results demonstrated that: (1) the maximum temperature threshold was different in various periods of maize grain-filling in the Huang-Huai-Hai Plain, showing the early grain-filling period (EP) > the active grain-filling period (AP) > the late grain-filling period (LP). With the largest differences in temperature thresholds found in AP, the maximum temperature threshold of AP can better reflect the characteristics of grain filling rather than the whole filling period. (2) The heat of the grain-filling period can explain more than 80 % of the yield variation and affect the yield by influencing the number of days required to reach the maximum grain-filling rate (Vmaxd) and the duration of the active grain-filling period (DAP). (3) The growing degree days (GDD) is the most significant controlling factor affecting yield; however, the effect of heat degree days (HDD) cannot be ignored. The HDD and cumulative thresholds of HDD in the EP and AP of grain-filling can better reflect the effect of heat on yield. The accumulation thresholds of HDD at Hebi and Suzhou were 28.1 °C·d and 15.2 °C·d in the EP period, and 31.0 °C·d and 14.9 °C·d in the AP period, respectively. The results provide a basis for the precise identification of heat disasters during grain-filling and the scientific adjustment of sowing dates.

Maize yield and grain quality response to foliar-applied phosphorus in a soil testing high in P

Aim of study: To test the effect of foliar and granular P fertilizer application on maize performance planted under permanent beds from 2012 to 2019 in a soil testing high in P. Area of study: This field experiment was located in the eastern region of the trans-Mexican volcanic belt. Material and methods: Three P treatments, foliar and granular (band and broadcast), and a control (0P) plot were allocated in an randomized complete block design in six replications. Main results: Year-P treatment interaction was significant for yield, agronomic efficiency (AE), and recovery efficiency (RE). Contrastingly, grain quality parameters measured as bulk density and thousand grain weight were only affected by year’s main effect. Yield, AE, and RE were generally more responsive to the foliar than the granular P application. These parameters varied in each treatment according to precipitation accumulated in 40 days during the bracketing-silking period (40d PP) and heat units during the grain filling stage [GDD(t-m)]. As 40d PP increased, yield and AE improved, while RE decreased; as GDD(t-m) increased, yield and grain quality improved. Initial soil available P (46 mg/kg) decreased 26% due to foliar P application. Research highlights: Results suggest that replacing the granular P with foliar P fertilization is an option to mine soil to an acceptable P level without adverse effects on maize performance.

Growth and Yield Response of Maize (Zea mays L.) to Integrated Nutrient Management of Biochar, Organic and Inorganic Fertilizers

Aims: Maize yield is largely influenced by integrated nutrient management of biochar, organic and inorganic fertilizers application. In view of this, field study to evaluate varying rates of chicken manure (CM), Gliricidia sepium biochar (GB) and NPK fertiliser on growth and yield of maize was carried out.&#x0D; Study Design: The study design was a 2 x 6 factorial arranged in Randomized Complete Block Design with three replications.&#x0D; Place and Duration of Study: The field study was carried out at Mampong- Ashanti in the Forest-Savannah transition zone of Ghana over 2 years in 2021 minor and 2022 major cropping seasons.&#x0D; Methodology: The study treatments were different rates of amendments using biochar, chicken manure and NPK (15-15-15) fertiliser; [10 t ha-1 CM, 300 kg ha-1 NPK, 2.5 t ha-1 GB, 150 kg ha-1 NPK + 1.25 t ha-1 GB, 1.25 t ha-1 GB + 5 t ha-1 CM and No fertiliser (Control)] which were applied to two maize varieties (Omankwa and Obatanpa). Physiological growth parameters (crop growth rate and relative growth rate) were determined. Vegetative growth parameter (leaf count) as well as yield and yield traits (number of lodged plants per plot, husked cob weight per plot, number of filled and unfilled cobs per plot and grain yield) were estimated.&#x0D; Results: The results revealed that the application of 10 t ha-1 chicken manure and 1.25 t ha-1 GB + 5 t ha-1 CM to Omankwa and Obatanpa maize outperformed in crop growth rate (RGR), relative growth rate (RGR) and leaf count compared to the unamended plots in both seasons. Omankwa had significantly higher filled cobs per plot than Obatanpa across seasons. The interaction of Omankwa and 10 t ha-1 CM and 1.25 t ha-1 GB + 5 t ha-1 CM gave higher number of filled cobs per plot than Obatanpa on same although not significantly different in both cropping seasons. The grain yield of maize was enhanced by soil amendments in the major and minor cropping seasons, especially with interaction of Obatanpa and 10 t ha-1 CM (7474.0 kg ha-1), (3473.4 kg ha-1) respectively. Obatanpa x 1.25 t ha-1 GB + 5 t ha-1 CM (6802.1 kg ha-1) interaction followed closely in grain yield in the major season.&#x0D; Conclusion: Both biochar, organic and inorganic fertilizers have varying effects on growth and yield of different maize varieties. For optimize maize grain yield, 10 t ha-1 CM or 1.25 t ha-1 GB + 5 t ha-1 CM application is recommended.

Maize Yield Response to Organic Fertilizers and Biofertilizers in a Sub-Tropical Zone of Eastern Himalayan Region of Arunachal Pradesh, India

A Field experiment was conducted at the Department of Agriculture at Himalayan University, Jullang, Arunachal Pradesh, to assess the impact of composts and biofertilizers on plant growth. The available soil nutrient status were medium in N, High in P and medium in K in study soil.The treatments considered of T1- Control 100 % RDF, T2 - Vermicompost 0.5 Kg/ha + Phosphorus solubilizing bacteria 0.5Kg/ha, T3 – Poultry manure 0.5 Kg/ha + Azotobacter 0.5Kg/ha, T4 – Compost 0.5Kg/ha + Phosphorus solubilizing bacteria 0.5Kg/ha + Azotobacter 0.5Kg/ha, T5 – compost 0.5Kg/ha + Phosphorus solubilizing bacteria 0.5 Kg/ha , T6 – Poultry manure 0.5Kg/ha+ Azotobacter 0.5Kg/ha, T7 – Vermicompost 0.5Kg/ha + Phosphorus solubilizing bacteria 0.5Kg/ha + Azotobacter 0.5Kg/ha.The highest cob plant-1 recorded highest in treatment receiving Vermicompost 0.5 Kg/ha + Phosphorus solubilizing bacteria 0.5 Kg/ha + Azotobacter 0.5 Kg/ha(T7) i.e 1.93. highest cob length recorded 13.80 cm receiving treatment Vermicompost 0.5Kg/ha+ Phosphorus Solubilizing Bacteria 0.5Kg/ha + Azotobacter 0.5Kg/ha (T7).The highest number of cob grain-1 is 394.47 receiving Vermicompost 0.5Kg/ha + Phosphorus solubilizing bacteria 0.5Kg/ha + Azotobacter 0.5Kg/ha (T7) and 12.03 g of test weight were obtained with treatment (T7) receiving Vermicompost 0.5Kg/ha + Phosphorus solubilizing bacteria 0.5Kg/ha + Azotobacte 0.5Kg/ha .

A meta-analysis of hairy vetch as a previous cover crop for maize

BackgroundThe use of hairy vetch (Vicia villosa Roth.) as cover crop is increasing worldwide. Hairy vetch can contribute as a nitrogen (N) source with potential to impact subsequent high N demanding cereals such as maize (Zea mays L.). Contrasting literature results emphasize the need for a global synthesis analysis to quantify changes in maize yield after hairy vetch. ObjectivesA meta-analysis was conducted to i) quantify maize yield response to hairy vetch as previous crop, ii) explore hairy vetch influence on fertilized and non-N fertilized maize yields, and iii) assess the tillage and environment factors on maize yield response to hairy vetch. MethodsThe global systematic search yielded 23 publications selected by the following criteria, i) hairy vetch dry matter at the end of the season, ii) maize grain yield, and iii) experimental design with (Mzhv) and without (Mzcontrol) hairy vetch treatments. Information such as N fertilization for maize, N accumulation in hairy vetch, organic matter, and tillage before maize sowing were recorded. Hairy vetch effects (effect size) were expressed as a ratio (percentage of grain yield variation in Mzhv/Mzcontrol). ResultsUnder non-N fertilization (n = 9), results revealed hairy vetch had mostly a positive effect, ranging from 13 to 45% (n = 6). In contrast, N-fertilized maize (n = 20) showed a high chance of neutral effects (n = 12), moderate probability of positive yield impact (7 to 38%, n = 6), and a low likelihood of negative effects (−32 and −17%, n = 2). Notably, maize yields improved by 21–25% when the N accumulation in hairy vetch ranged from 95 to 150 kg ha−1 and N rate from 0 to 120 kg ha−1. Non-N-fertilized maize exhibited a 14% increase in response in no-till systems and a 31% increase with conventional tillage. ConclusionThis study summarizes potential benefits of hairy vetch preceding maize. Yet, the heterogeneous outcomes deserve further exploration in terms of environment and management factors.

Analysis of factors controlling maize yield response to hairy vetch and to nitrogen fertilization after hairy vetch

Analysis of factors controlling maize yield response to hairy vetch and to nitrogen fertilization after hairy vetch

Changes in maize traits and yield under the cultivar, environment and management interactions across China’s Maize Belt in the past two decades

It is important to investigate the response and adaptation mechanisms of crop traits and yield to ongoing climate change under genotype (G), environment (E), and management (M) interactions in order to develop climate-resilient cultivars and agricultural systems. Here, using long-term trial data at six comprehensive agricultural experiment stations across China’s Maize Belt, we investigated the changes in maize traits and yield during 1998–2019 under the interactions of G×E × M. The first-order difference, multi-collinearity detection, Pearson correlation, stepwise linear and a machine learning method were employed to construct the best statistical regression models between maize traits and climate variables and disentangle the relative contributions of climate, cultivar and management to grain yield changes. The results showed a warming trend but a decreasing trend in solar radiation at all the investigated stations. Climate variations affected maize traits and subsequently grain yield, and there were trade-offs among maize traits. With local agricultural management practices, about 20.5–73.8%, 1.2–42.7% and 2.3–37.0% of the yield changes were associated with climate change, cultivar shifts and management, respectively. The stations with higher latitudes exhibited greater variations in yield due to climate variations, compared to the stations with lower latitudes. Wind speed, radiation, and rainfall was found to affect maize yield in Northeast China by affecting evapotranspiration, soil moisture and drought occurrence. The ideal cultivars were characterized by a relatively long grain-filling stage, large hundred-grain weight and number of rows. This study gains new insights into the response and adaptation mechanisms of maize traits and yield to ongoing climate change, providing evidence for designing cultivar ideotypes and optimizing agricultural management in different environments.