Journal articles on the topic 'Maize yield'
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1
Yustisia, Yustisia, NP Sri Ratmini, J. Amirrullah, Y. Juwita, YPAP Hutabarat, and Atekan Atekan. "Yield Components and Efficiency Index of Maize Yield: Relationship to Yields in Tidal Fields." Jurnal Lahan Suboptimal : Journal of Suboptimal Lands 10, no. 2 (October 1, 2021): 140–49. http://dx.doi.org/10.36706/jlso.10.2.2021.522.
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Identification of the advantages of hybrid maize lines is needed to support the increased production and development of maize in tidal fields. This study aimed to identify the agronomic characters and yield components of hybrid maize lines/varieties and their relationship with high yield and efficient fertilization in tidal fields. The design used was a Split Plot with three replications. The Main Plot was a hybrid maize line/variety (L39/MR4, MGOLD/G8, G28/MGOLD, P27). The subplots were Composite Fertilizer with 2 measures, namely 600 kg/ha and 720 kg/ha. The fertilizers of Urea (50%), SP 36 and NPK (100%) were given at 10 days after planting (DAP). The remaining Urea was given at 30 DAP, 50% and 58.33% respectively in the Composite Fertilizer treatment of 600 kg/ha and 720 kg/ha. The technical culture applied was optimum tillage with the 70 cm x 25 cm spacing, the irrigation being carried out at D/DAP and 15 DAP, the optimal control on the weed and Plant Pest Organisms. The result showed that the number of rows/cobs was an alternative variable in identifying maize lines/varieties with high yield and efficient fertilization. This character was closely correlated with seed/ear weight (r = 0.94) and Grain Yield Efficiency Index/GYEI (r = 0.84). All Genotypes were nutrient efficient (GYEI > 1) except G28/MGOLD (IGYEI < 1). Another approach used to identify efficient fertilization lines/varieties was the variable percentage of yield reduction through regression equations with GYEI (y = - 0.0104 x + 1.0426). The character of high number of rows/cob could be used as genetic material in plant breeding programs. The lines/varieties as a component of efficient technology and high productivity would contribute to increase production and development of maize in tidal fields.
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Pu, Luoman, Shuwen Zhang, Jiuchun Yang, Liping Chang, and Shuting Bai. "Spatio-Temporal Dynamics of Maize Potential Yield and Yield Gaps in Northeast China from 1990 to 2015." International Journal of Environmental Research and Public Health 16, no. 7 (April 4, 2019): 1211. http://dx.doi.org/10.3390/ijerph16071211.
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Maize yield has undergone obvious spatial and temporal changes in recent decades in Northeast China. Understanding how maize potential yield has changed over the past few decades and how large the gaps between potential and actual maize yields are is essential for increasing maize yield to meet increased food demand in Northeast China. In this study, the spatial and temporal dynamics of maize potential yield in Northeast China from 1990 to 2015 were simulated using the Global Agro-ecological Zones (GAEZ) model at the pixel level firstly. Then, the yield gaps between actual and potential yields were analyzed at city scale. The results were the following. (1) The maize potential yield decreased by about 500 kg/ha and the potential production remained at around 260 million tonnes during 1990–2000. From 2000 to 2015, the maize potential yield and production increased by approximately 1000 kg/ha and 80 million tonnes, respectively. (2) The maize potential yield decreased in most regions of Northeast China in the first decade, such as the center area (CA), south area (SA), southwest area (SWA), and small regions in northeast area (NEA), due to lower temperature and insufficient rainfall. The maize potential yield increased elsewhere. (3) The maize potential yield increased by more than 1000 kg/ha in the center area (CA) in the latter 15 years, which may be because of the climate warming and sufficient precipitation. The maize potential yield decreased elsewhere and Harbin in the center area (CA). (4) In 40 cities of Northeast China, the rates of actual yield to potential yield in 17 cities were higher than 80%. The actual yields only attained 50–80% of the potential yields in 20 cities. The gaps between actual and potential yields in Hegang and Dandong were very large, which need to be shrunk urgently. The results highlight the importance of coping with climate change actively, arranging crop structure reasonably, improving farmland use efficiency and ensuring food security in Northeast China.
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Hmielowski, Tracy. "Maize Yield Potential." CSA News 63, no. 3 (March 2018): 8–9. http://dx.doi.org/10.2134/csa2018.63.0310.
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Tefera, Merga, Zhang Weifang, Shuaixiang Zhao, and Zhiping Duan. "Enhancing maize yield in Ethiopia a meta-analysis." International Journal of Agricultural Science and Food Technology 8, no. 3 (July 12, 2022): 193–201. http://dx.doi.org/10.17352/2455-815x.000163.
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Accurate nitrogen (N) fertilization and optimum plant density increase crop yields. In this study, I report the effects of N fertilization rate and plant density on maize yield in a meta-analysis, by using observations from 15 studies conducted in Ethiopia since the 2000s for possible refinement of N fertilizer and plant density recommendations. I assessed the response of maize to different N rates ha−1 compared to the control using the yield response approach. Application of N fertilizer significantly increased maize yields by 31.5% - 65.9% compared to control. plant density increased maize yields by 42% - 72.4% compared to the control. The interaction effect of the N rate increased maize yields by 27.6% - 95.9%, with Plant density, 58.7% - 152% on loam soil, compared to control yield. The interaction effect of Plant density with soil type increased maize yields by 47% - 108% on loam soil. In conclusion, the grain yield of maize increased with increasing N rate and plant density up to the optimum. Therefore, it’s possible to recommend using a high N rate with both low and medium plant density (< 45,000 plants ha-1) and (45,000 to 65,000plants ha-1) to harvest high grain yield.
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Su, Peng, Shiqi Li, Jing’ai Wang, and Fenggui Liu. "Vulnerability Assessment of Maize Yield Affected by Precipitation Fluctuations: A Northeastern United States Case Study." Land 10, no. 11 (November 5, 2021): 1190. http://dx.doi.org/10.3390/land10111190.
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Crop yields are threatened by global climate change. Maize has high water requirements, and precipitation fluctuations can impact its yield. In this study, we used the Environmental Policy Integrated Climate (EPIC) model to simulate maize yields in eight northeastern U.S. states. We used precipitation fluctuations and the coefficient of variation (CV) of yield as indicators to construct a vulnerability curve for the CV of yield and precipitation fluctuations. We then evaluated the vulnerability of maize yields under precipitation fluctuations in the region. We obtained the following results: (1) the fitted vulnerability curves were classified into three categories (positive slope, negative slope, and insignificant fit), of which the first category accounted for about 92.7%, indicating that the CV of maize yield was positively correlated with precipitation fluctuations in most parts of the study area; and (2) the CV of maize yield under 11 precipitation fluctuation scenarios was mapped to express the CV at the spatial level, and the maize yield in Connecticut and Maryland proved to be the most sensitive to precipitation fluctuations. This study provided a theoretical and experimental basis for the prevention of maize yield risk under fluctuating precipitation conditions.
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Musokwa, Misheck, and Paramu L. Mafongoya. "Effects of improved pigeonpea fallows on biological and physical soil properties and their relationship with maize yield." Agroforestry Systems 95, no. 2 (January 26, 2021): 443–57. http://dx.doi.org/10.1007/s10457-021-00598-7.
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AbstractDeclining soil properties have triggered lower maize yields among smallholder famers in South Africa. Legume trees such as pigeonpea can be used as improved fallows to replenish degraded soils. The objectives of the study were to: (1) examine the effects of improved pigeonpea fallows on enhancing biological, physical soil properties and maize yield responses and (2), analyze the relationship of maize grain yield to biological and physical soil properties after improved pigeonpea fallows at Wartburg, South Africa. Pigeonpea fallows were established in 2015/16 season and terminated in 2017 and subsequently maize was planted. A randomized complete block design replicated three times was used with five treatments: continuous sole maize without fertilizer (T1), natural fallow then maize (T2), pigeonpea + grass—pigeonpea then maize (T3), maize + pigeonpea—pigeonpea then maize (T4), two-year pigeonpea fallow then maize (T5). Improved pigeonpea fallows increased maize yields through improvement in soil macrofauna species abundance, richness and diversity, aggregate stability, infiltration rate. Pigeonpea fallows increased maize yield by 3.2 times than continuous maize without fertilizer. The maize grain yield (3787 kg ha−1), was the highest on two-year pigeonpea fallows while continuous maize without fertilizer had the least (993 kg ha−1). There was a significant positive correlation between soil macrofauna indices and physical soil properties to maize yields. Smallholders who have limited access to fertilizers can sustainably use improved fallows to restore degraded soils to achieve higher maize yields in South Africa.
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Nguyen, Huyen Khon, Le Thanh Hai, Tung Van Tra, Nguyen Viet Thang, Tran Thi Hieu, Thu Hong Anh Nguyen, Dong Thi Thu Huyen, and Nguyen Thi Phuong Thao. "Study on the use of sludge farming of catfish as organic fertilizer and evaluate its effectiveness in agriculture." Science & Technology Development Journal - Science of The Earth & Environment 4, no. 1 (April 5, 2020): First. http://dx.doi.org/10.32508/stdjsee.v4i1.502.
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The purpose of this study is to reuse fishpond sediment to produce organic fertilizer for planting maize. The sludge was mixed with rice husk and Composted under aerobic conditions. The effectiveness of Compost on planting maizes was assessed by adding to maizes with and without combination chemical fertilizers as different dosages as recommendations. The amounts of Compost adding for maizes were 10 and 20 tons/ha. Maize growth, characteristics of corn, and soil physical and chemical parameters such as bulk density, soil aggregate stability, the volume of moisture, and useful moisture of soil were measured and evaluated. The results showed that the quality of organic fertilizer produced from waste sludge met Vietnamese standard (QCVN:2018/BNNPTNT) for adding to crops. Applying organic fertilizer with the quantity of 20 tons/ha to combine with the recommendation of inorganic fertilizer amount for planting maizes increased the yield. Moreover, 20 ton/ha of organic fertilizer coupling with 50% of chemical fertilizer amount as a recommendation for planting maize also enhanced the yield to compare with the control (only using inorganic fertilizer as a recommendation). The maize yield of applying 20 tons/ha of organic fertilizer was higher than the maize yield of 10 tons/ha of organic fertilizer. Using organic fertilizer produced by fishpond sediment did improve not only the soil quality but also protected the canals and increased household income.
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Jamriška, P. "The effect of undersowing time of clover crops and weeds on silage maize yields." Plant, Soil and Environment 48, No. 8 (December 21, 2011): 361–67. http://dx.doi.org/10.17221/4381-pse.
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In field experiments conducted on loamy luvic chernozem (170 m altitude, 48°34’ N 17°45’ E), the effects of undersowing time (5 days after maize was sown and into emerged stand) of lucerne, red clover and sainfoin on silage maize dry matter have been studied. The total dry matter yields were affected by time of undersowing of clover crops. The stands undersown after emergence of maize gave higher yields than former time of undersowing. The late time of undersowing improved conditions for growth of maize and formation of its yield. The number of maize plants had already insignificant effect on yields there. The dry matter weight, height, and number of maize plants and dry matter weight of weeds were main factors of formation of the total yield. The depressive effect of weeds on total yields was applied indirectly particularly through the decrease in the dry matter weight of maize plants. The path analysis in spite of the insignificant effect of clover crops undersown on total yields indicated some differences in the formation of yield. The number of maize plants reached the significant level of effect on yield only at stands with red clover undersown. On the contrary, the negative correlation of weeds dry matter weight with the number of maize plants reached level of significance in stands with lucerne undersown only.
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Kvaternjak, Ivka, Ivica Kisić, Marta Birkás, Andrija Špoljar, and Dejan Marenčić. "Yields and Yield Components of Maize (Zea Mays L.) and Soybean (Glycine Max) as Affected by Different Tillage Methods." Ekológia (Bratislava) 34, no. 4 (December 1, 2015): 371–79. http://dx.doi.org/10.1515/eko-2015-0033.
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Abstract At the experiment station of the Krizevci College of Agriculture, yield and yield components of maize (Zea mays L.) and soybean (Glycine max) grown in rotation under five different methods of tillage were investigated. The aim of this study was to determine the effect of different tillage methods on yield and yield components of maize and soybean. The results and the determined number of plants per hectare of maize and soybean show that more favorable conditions for germination are in variants where ploughing performed in the autumn (variants C, D and E). During a four-year study, the minimum number of plants per hectare of maize and soybean was found in variant A. The dry season in panicle stage of maize in 2006 has lowered yields compared to 2008, and the drought in 2007 during the seed-filling period reduced the yield and the 1000 kernel weight of soybean compared with 2009 in all variants of tillage methods. The highest grain yield of maize was recorded in variant B. During 2006, with the unfavorable weather conditions, the lowest grain yield of maize was recorded in variant E with intensive tillage treatment. The highest yield of soybean was recorded in variant E, but there were no statistically significant differences compared to variants with the reduction of additional tillage interventions (variant B, C and D). With respect to maize grain and soybean seed yield, variant A was the lowest. Considering the achieved yields of maize grain, there is a possibility of reducing additional tillage interventions, whilst for achieving higher yield of soybean seed intensive tillage is recommended.
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Ofori, Francis, and W. R. Stern. "Relative Sowing Time and Density of Component Crops in a Maize/Cowpea Intercrop System." Experimental Agriculture 23, no. 1 (January 1987): 41–52. http://dx.doi.org/10.1017/s0014479700001113.
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SUMMARYThe effect of variations in the relative sowing time and density of component crops in a maize/cowpea intercrop were examined in two experiments. In the first experiment, maize and cowpea were sown together, and either 10 or 21 days before or after each other. Maize yield was reduced when sown at the same time or after cowpea; intercrop cowpea yields were less than sole cowpea yields at all sowings. In the second experiment, maize densities of 35, 50 and 70 × 103 plants ha−1 were combined with cowpea densities of 70, 100 and 140 × 103 plants ha−1. Increasing the density of either crop in the mixture resulted in increases in total yield. Maize reduced cowpea yields more than the effect of cowpea on maize yields. In terms of LER and total seed protein yield, there was no advantage of either staggered sowings over simultaneous sowing or of the various intercrop density combinations, except between the lowest and the highest densities of either maize or cowpea. The LERs appeared to follow the trends in cowpea yields and total seed protein yields the trends in maize yields.
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Ofori, Francis, and W. R. Stern. "Relative Sowing Time and Density of Component Crops in a Maize/Cowpea Intercrop System." Experimental Agriculture 23, no. 1 (January 1987): 41–52. http://dx.doi.org/10.1017/s0014479700003392.
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SUMMARYThe effect of variations in the relative sowing time and density of component crops in a maize/cowpea intercrop were examined in two experiments. In the first experiment, maize and cowpea were sown together, and either 10 or 21 days before or after each other. Maize yield was reduced when sown at the same time or after cowpea; intercrop cowpea yields were less than sole cowpea yields at all sowings. In the second experiment, maize densities of 35, 50 and 70 × 103plants ha−1were combined with cowpea densities of 70, 100 and 140 × 103plants ha−1. Increasing the density of either crop in the mixture resulted in increases in total yield. Maize reduced cowpea yields more than the effect of cowpea on maize yields. In terms of LER and total seed protein yield, there was no advantage of either staggered sowings over simultaneous sowing or of the various intercrop density combinations, except between the lowest and the highest densities of either maize or cowpea. The LERs appeared to follow the trends in cowpea yields and total seed protein yields the trends in maize yields.
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Saddique, Qaisar, Muhammad Imran Khan, Muhammad Habib ur Rahman, Xu Jiatun, Muhammad Waseem, Thomas Gaiser, Muhammad Mohsin Waqas, Ijaz Ahmad, Li Chong, and Huanjie Cai. "Effects of Elevated Air Temperature and CO2 on Maize Production and Water Use Efficiency under Future Climate Change Scenarios in Shaanxi Province, China." Atmosphere 11, no. 8 (August 9, 2020): 843. http://dx.doi.org/10.3390/atmos11080843.
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The ongoing global warming and changing patterns of precipitation have significant implications for crop yields. Process-based models are the most commonly used method to assess the impacts of projected climate changes on crop yields. In this study, the crop-environment resource synthesis (CERES)-Maize 4.6.7 model was used to project the maize crop yield in the Shaanxi Province of China over future periods. In this context, the downscaled ensemble projections of 17 general circulation models (GCMs) under four representative concentration pathways (RCP 2.6, RCP 4.5, RCP 6.0, and RCP 8.5) were used as input for the calibrated CERES-Maize model. Results showed a negative correlation between temperature and maize yield in the study area. It is expected that each 1.0 °C rise in seasonal temperature will cause up to a 9% decrease in the yield. However, the influence of CO2 fertilization showed a positive response, as witnessed by the increase in the crop yield. With CO2 fertilization, the average increase in the maize crop yield compared to without CO2 fertilization per three decades was 10.5%, 11.6%, TA7.8%, and 6.5% under the RCP2.6, RCP4.5, RCP6.0, and RCP8.5 scenarios, respectively. An elevated CO2 concentration showed a pronounced positive impact on the rain-fed maize yield compared to the irrigated maize yield. The average water use efficiency (WUE) was better at elevated CO2 concentrations and improved by 7–21% relative to the without CO2 fertilization of the WUE. Therefore, future climate changes with elevated CO2 are expected to be favorable for maize yields in the Shaanxi Province of China, and farmers can expect further benefits in the future from growing maize.
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Affoh, Raïfatou, Haixia Zheng, Xuebiao Zhang, Wen Yu, and Chunhong Qu. "Influences of Meteorological Factors on Maize and Sorghum Yield in Togo, West Africa." Land 12, no. 1 (December 30, 2022): 123. http://dx.doi.org/10.3390/land12010123.
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This paper explores the effect of meteorological factors such as rainfall, temperature, sunshine, wind speed, and relative humidity on the yield of maize (Zea mays L.) and sorghum (Sorghum bicolor L.) at different growth stages in Togo’s Plateau, Central, and Savannah regions. For this purpose, data from 1990 to 2019 on weather variables and maize and sorghum yields were used. The study applied Fisher’s meteorological regression and Chebyshev polynomial function. Our findings revealed that rainfall had a more beneficial than detrimental effect on maize and sorghum yield across stages and regions. Contrariwise, temperature influence was as beneficial as detrimental and more significant across all growth stages of maize and sorghum in the Savannah and Plateau regions. Furthermore, the sunshine effect on maize yield was more significant in the Central and Savannah regions, while negative on sorghum yield in all the growth stages in the Central region. Similarly, the wind speed was also beneficial and detrimental to maize and sorghum yields, although it was more significant for sorghum in Plateau and Savannah regions. Lastly, relative air humidity positively and negatively influenced maize and sorghum yields in all the growth stages and regions for maize and the Plateau and Savannah regions for sorghum. Therefore, there is a need for real-time agricultural meteorological information to help farmers plan crop production more efficiently and increase crop yield.
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Bucagu, Charles, Alain Ndoli, Athanase R. Cyamweshi, Leon N. Nabahungu, Athanase Mukuralinda, and Philip Smethurst. "Determining and managing maize yield gaps in Rwanda." Food Security 12, no. 6 (July 24, 2020): 1269–82. http://dx.doi.org/10.1007/s12571-020-01059-2.
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AbstractSmallholder maize growers are experiencing significant yield gaps due to sub-optimal agricultural practices. Adequate agricultural inputs, particularly nutrient amendments and best management practices, are essential to reverse this trend. There is a need to understand the cause of variations in maize yield, provide reliable early estimates of yields, and make necessary recommendations for fertilizer applications. Maize yield prediction and estimates of yield gaps using objective and spatial analytical tools could provide accurate and objective information that underpin decision support. A study was conducted in Rwanda at Nyakiliba sector and Gashora sector located in Birunga and Central Bugesera agro-ecological zones, with the objectives of (1) determining factors influencing maize yield, (2) predicting maize yield (using the Normalized Difference Vegetation Index (NDVI) approach), and (3) assessing the maize yield gaps and the impact on food security. Maize grain yield was significantly higher at Nyakiliba (1.74 t ha−1) than at Gashora (0.6 t ha−1). NDVI values correlated positively with maize grain yield at both sites (R2 = 0.50 to 0.65) and soil fertility indicators (R2 = 0.55 to 0.70). Maize yield was highest at 40 kg P ha−1 and response to N fertilizer was adequately simulated at Nyakiliba (R2 = 0.85, maximum yield 3.3 t ha−1). Yield gap was 4.6 t ha−1 in Nyakiliba and 5.1 t ha−1 in Gashora. Soil variables were more important determinants of social class than family size. Knowledge that low nutrient inputs are a major cause of yield gaps in Rwanda should prioritize increasing the rate of fertilizer use in these agricultural systems.
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Ayipio, Emmanuel, Moomin Abu, Richard Yaw Agyare, Dorothy Ageteba Azewongik, and Samuel Kwame Bonsu. "Growth and Yield Performance of Roselle Accessions as Influenced by Intercropping with Maize in the Guinea Savannah Ecology of Ghana." International Journal of Agronomy 2018 (October 1, 2018): 1–7. http://dx.doi.org/10.1155/2018/9821825.
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Growing roselle with maize is common in Ghana. However, there is little information on whether the choice of accession affects maize/roselle intercrops. Also, there is little information on whether intercropping roselle with maize is beneficial or detrimental to the yields of the crops. A field experiment was conducted for two seasons to assess the growth and yield performance of three roselle accessions as influenced by intercropping with maize and to assess whether maize growth and yield would be influenced upon intercropping with roselle. The roselle accessions were Bissap, Local, and Samadah. Intercropped roselle accessions, their soles, and sole maize were arranged in a randomized complete block design with three replications. Intercrop performance was determined using area × time equivalence ratio (ATER) and competitive ratio (CR). The results showed significant differences in roselle accessions for growth and yield performance. Local outperformed the other accessions in both growth and yield attributes. Roselle calyx and shoot yields were significantly higher in intercrops than in soles. Maize growth and yield were not significantly affected by intercropping with roselle, but maize yield attributes differed between seasons. The ATERs were 1.99, 2.18, and 2.49 for Samadah, Bissap, and Local, respectively, indicating that there was productive use of space and time for intercropping. The CR ranged from 1.03 to 1.17, 0.96 to 1.09, and 1.12 to 1.25 for stem diameter, number of leaves per plant, and plant height, respectively. The study showed that the choice of accession did not affect the intercrop performance. It also showed that intercropping roselle with maize is beneficial to roselle without compromising the yield of maize.
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Karimuna, L., Halim, A. Ansi, W. E. Marfi, T. Wijayanto, and L. Hasanuddin. "Growth and yields of two varieties of maize (Zea mays L.) intercropped with peanut (Arachys hypogaea L.) applied by bokashi plus fertilizer between the rows of teak trees based agroforestry system." IOP Conference Series: Earth and Environmental Science 951, no. 1 (January 1, 2022): 012041. http://dx.doi.org/10.1088/1755-1315/951/1/012041.
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Abstract Nutrient shortages are the main problems faced by farmers, so as to improve soil fertility using organic fertilizer is compulsory. The main objective was to analyze the effects of bokashi plus fertilizer on the growth and yields of two varieties of maize intercropped with peanut under three years old teak trees in agroforestry system. The research was arranged in randomized completely block design in factorial pattern with two factors, maize variety: local maize and hybrid corn bisi-2; and bokashi plus fertilizer doses: 0, 3, 6 and 9 t ha-1. Maize growth recorded were plant height, leaf number, stem diameter and leaf area at 2, 4, 6 and 8 WAP and maize yields recorded were cob weight with cornhusk, cob weight without cornhusk, cob length, diameter, row number, 100 seeds dry weight, biomass dry weight, yield and LER. The results showed that interaction between maize variety and bokashi plus fertilizer had significant effect on the growth and yield of maize intercropped with peanut under three years of teak trees in agroforestry system. The best effects of maize growth and yield were obtained at 9 t ha-1 with highest yield of local maize and hybrid maize of 4,69 and 5,79 t ha-1.
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KERMAH, M., A. C. FRANKE, B. D. K. AHIABOR, S. ADJEI-NSIAH, R. C. ABAIDOO, and K. E. GILLER. "LEGUME–MAIZE ROTATION OR RELAY? OPTIONS FOR ECOLOGICAL INTENSIFICATION OF SMALLHOLDER FARMS IN THE GUINEA SAVANNA OF NORTHERN GHANA." Experimental Agriculture 55, no. 5 (July 10, 2018): 673–91. http://dx.doi.org/10.1017/s0014479718000273.
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SUMMARYSoil nutrient constraints coupled with erratic rainfall have led to poor crop yields and occasionally to crop failure in sole cropping in the Guinea savanna of West Africa. We explored different maize-grain legume diversification and intensification options that can contribute to mitigating risks of crop failure, increase crop productivity under different soil fertility levels, while improving soil fertility due to biological N2-fixation by the legume. There were four relay patterns with cowpea sown first and maize sown at least 2 weeks after sowing (WAS) cowpea; two relay patterns with maize sown first and cowpea sown at least 3 WAS maize in different spatial arrangements. These were compared with groundnut-maize, soybean–maize, fallow-maize and continuous maize rotations in fields high, medium and poor in fertility at a site each in the southern (SGS) and northern (NGS) Guinea savanna of northern Ghana. Legumes grown in the poorly fertile fields relied more on N2-fixation for growth leading to generally larger net N inputs to the soil. Crop yields declined with decreasing soil fertility and were larger in the SGS than in the NGS due to more favourable rainfall and soil fertility. Spatial arrangements of relay intercrops did not have any significant impact on maize and legume grain yields. Sowing maize first followed by a cowpea relay resulted in 0.18–0.26 t ha−1 reduction in cowpea grain yield relative to cowpea sown from the onset. Relaying maize into cowpea led to a 0.29–0.64 t ha−1 reduction in maize grain yield relative to maize sown from the onset in the SGS. In the NGS, a decline of 0.66 and 0.82 t ha−1 in maize grain yield relative to maize sown from the onset was observed due to less rainfall received by the relay maize. Groundnut and soybean induced 0.38–1.01 t ha−1 more grain yield of a subsequent maize relative to continuous maize, and 1.17–1.71 t ha−1 more yield relative to relay maize across both sites. Accumulated crop yields over both years suggest that sowing maize first followed by cowpea relay is a promising ecological intensification option besides the more common legume–maize rotation in the Guinea savanna, as it was comparable with soybean–maize rotation and more productive than the other treatments.
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Sarker, UK, S. Dey, S. Kundu, and MA Awal. "On-farm study on intercropping of hybrid maize with short duration vegetables." Journal of the Bangladesh Agricultural University 11, no. 1 (March 4, 2014): 1–4. http://dx.doi.org/10.3329/jbau.v11i1.18195.
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The experiment was conducted at Multi Location Testing (MLT) site, Netrakona during rabi season of 2009-10 and 2010-11 to study the feasibility of intercropping of hybrid maize with different short duration vegetables and economic returns. Three intercrop combinations of hybrid maize along with sole maize were arranged in Randomized Complete Block Design replicated six times. There were four treatments viz., T1- Sole crop of maize, T2 - Three rows of red amaranth (25 cm apart) in between two (75 cm apart) rows of Maize, T3 - Three rows of bush bean (25 cm apart) in between two (75 cm apart) rows of Maize and T4 -Three rows of garden pea (25 cm apart) in between two (75 cm apart) rows of Maize. Yield contributing characters and yield of maize did not varied significantly due to intercropping with vegetables. The grain yield of maize in intercropped combination varied from 7.30-7.43 t/ha. But the highest grain yield (7.68 t/ha) was in sole maize. Maize equivalent yields in the intercrops ranged from 10.67-14.96 t/ha. The highest maize equivalent yield (14.96 t/ha), gross return (Tk. 224400/ha), gross margin (Tk.166830/ha) and benefit cost ratio (3.90) were obtained in maize + garden pea combination. The lowest maize equivalent yield (7.68 t/ha), gross return (Tk. 115200/ha), gross margin (Tk. 64128/ha) and benefit cost ratio (2.26) were obtained from sole crop of maize. DOI: http://dx.doi.org/10.3329/jbau.v11i1.18195 J. Bangladesh Agril. Univ. 11(1): 1-4, 2013
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Abouziena, Hussein F., M. F. El-Karmany, Megh Singh, and S. D. Sharma. "Effect of Nitrogen Rates and Weed Control Treatments on Maize Yield and Associated Weeds in Sandy Soils." Weed Technology 21, no. 4 (December 2007): 1049–53. http://dx.doi.org/10.1614/wt-07-084.1.
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The effect of N levels, weed control treatments, and their interaction on maize yield and weed growth in sandy soils is not completely understood. Therefore, field experiments were conducted during 2005 and 2006 to determine if management can improve maize competitiveness with weeds, and thus achieve the yield potential of maize in sandy soils. The experiment included three N levels (300, 338, and 375 kg/ha) and five weed control treatments, e.g., hand hoeing twice, hand hoeing three times, fluroxypr + hoeing once, hoeing once + bispyribac-Na, and a nonweeded check. N rates affected dry weight of weeds growing with maize except with large crabgrass. Biomass of common purslane, considered a nitrophilous species, was increased by all N levels. Weeds were controlled by all treatments compared with the nontreated check; however, herbicide treatments were not superior to hand-hoeing treatments. Using more N favored growth and yield of maize more than weeds. Adding N fertilizer also improved most yield parameters. Highest grain yield of maize resulted at 375 kg/ha N. All weed control treatments improved grain yield two- to threefold compared with the nonweeded check. The interaction between N rates and weed control treatments had significant effects on dry biomass of common purslane and barnyardgrass, as well as grain index and biological yield parameters of maize. Grain yields were improved with fluroxypyr applied 2 wk after sowing (WAS) maize followed by one hand hoeing 6 WAS or hoeing at 3 WAS followed by bispyribac-Na applied 6 WAS. However, highest yields were obtained by hoeing early during the growing season.
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Chukwudi, Uchechukwu Paschal, Funso Raphael Kutu, and Sydney Mavengahama. "Heat Stress Effect on the Grain Yield of Three Drought-Tolerant Maize Varieties under Varying Growth Conditions." Plants 10, no. 8 (July 27, 2021): 1532. http://dx.doi.org/10.3390/plants10081532.
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A rise in global temperature will reduce maize yield, particularly in Africa, where maize is a staple food. Therefore, improving maize yield under heat stress will promote food security in the region. The objective of this study was to assess the influence of heat stress on the grain yield of drought-tolerant maize varieties under varied growth conditions. The experimental design used was a 2 × 3 × 3 × 2 factorial fitted into a completely randomized design with four replications. The factors were heat stress, maize variety, soil amendment, and soil type. The results showed a better yield from sandy clay loam over loamy sand soil. Varieties WE5323 and ZM1523 amended with poultry manure gave the best yield under the non-heat and heat-stressed environments, respectively. Heat stress reduced the cob weight, grain weight, grain number, and stover dry weight by 64, 73, 69, and 23%, respectively. Grain number, grain weight, and cob weight were the most informative yield attributes in this study and should be considered in a maize selection program. The ranking for the maize varieties was WE5323 > ZM1523 > WE3128. Drought-tolerant maize varieties can be useful in heat stress mitigation. This information is useful for the simulation of maize yields for heat stress-prone areas in Sub-Saharan Africa.
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Sharda, Vaishali, Cameron Handyside, Bernardo Chaves, Richard T. McNider, and Gerrit Hoogenboom. "The Impact of Spatial Soil Variability on Simulation of Regional Maize Yield." Transactions of the ASABE 60, no. 6 (2017): 2137–48. http://dx.doi.org/10.13031/trans.12374.
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Abstract. The study of climate variability and its impacts on crop production has become a continuous effort for the scientific community over the past two decades. However, the impact of spatial soil variability along with climatic factors on crop yield remains uncertain. The objective of this study was to determine the impact of soil and climatic variability on maize yield. We used Alabama as a case study because the agriculture is predominantly rainfed and there is a large variability in growing season precipitation due to the influence of climate variability signals such as the El Niño Southern Oscillation (ENSO). The cropping system model CERES-Maize of the Decision Support System for Agrotechnology Transfer (DSSAT) was used to simulate growth, development, and grain yield for maize for the top ten maize-producing counties in Alabama under rainfed conditions during dry and wet ENSO years. Maize yield simulations were compared for one prominent agricultural soil in each county, the top three prominent agricultural soils in each county, and spatially distributed SSURGO soils in each county. Simulated yields were then compared with maize yields reported by the National Agricultural Statistical Services (NASS). The simulation results showed that maize yield was impacted by both climate variability and spatial soil variability. Statistical relationships were established between crop yield, yield changes, and soil properties. This simulation study established the clear importance of soil variability in crop-climate impact studies. Keywords: Crop Modeling, DSSAT, Database, Soil properties, Spatial variability.
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Ijoyah, M. O. "Maize-Soybean Intercropping System: Effects on Striga Control, Grain Yields and Economic Productivity at Tarka, Benue State, Nigeria." International Letters of Natural Sciences 19 (July 2014): 69–75. http://dx.doi.org/10.18052/www.scipress.com/ilns.19.69.
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On-Farm trials were conducted from July to November during the 2009 and 2010 cropping seasons, at Tarka, Benue State, Nigeria to evaluate the effects of intercropping maize and soybean on striga control, grain yields and economic productivity. The treatments consisted of sole maize, sole soybean and the intercrop of maize and soybean, replicated three times in a randomized complete block design. The results obtained showed that intercropping maize and soybean significantly (P ≤ 0.05) reduced striga shoot count by 55.9 % and 56.1 % respectively, in 2009 and 2010 compared to that produced on pure maize plots. Number of affected maize plants, lodging score of maize and infestation rate were lower for intercropping than for sole maize plots. The severity level was also recorded lower for intercropping compared to that recorded for pure maize stands, where severity level is in the range of high to very high. Though, soybean yield was reduced by intercropping, however, soybean and maize intercropping system increased maize grain yield, total intercrop yield, land equivalent coefficient greater than 0.25, land equivalent ratio values greater than one (LER > 1), higher total intercrop values and monetary equivalent ratio greater than 1.00, indicating yield and economic advantages. The implication of study showed that intercropping maize and soybean can be adopted by farmers as an efficient cropping system strategy to reduce striga infestation, increase maize yield and give greater economic productivity.
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Ijoyah, M. O. "Maize-Soybean Intercropping System: Effects on <i>Striga</i> Control, Grain Yields and Economic Productivity at Tarka, Benue State, Nigeria." International Letters of Natural Sciences 19 (July 16, 2014): 69–75. http://dx.doi.org/10.56431/p-ql96t7.
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On-Farm trials were conducted from July to November during the 2009 and 2010 cropping seasons, at Tarka, Benue State, Nigeria to evaluate the effects of intercropping maize and soybean on striga control, grain yields and economic productivity. The treatments consisted of sole maize, sole soybean and the intercrop of maize and soybean, replicated three times in a randomized complete block design. The results obtained showed that intercropping maize and soybean significantly (P ≤ 0.05) reduced striga shoot count by 55.9 % and 56.1 % respectively, in 2009 and 2010 compared to that produced on pure maize plots. Number of affected maize plants, lodging score of maize and infestation rate were lower for intercropping than for sole maize plots. The severity level was also recorded lower for intercropping compared to that recorded for pure maize stands, where severity level is in the range of high to very high. Though, soybean yield was reduced by intercropping, however, soybean and maize intercropping system increased maize grain yield, total intercrop yield, land equivalent coefficient greater than 0.25, land equivalent ratio values greater than one (LER > 1), higher total intercrop values and monetary equivalent ratio greater than 1.00, indicating yield and economic advantages. The implication of study showed that intercropping maize and soybean can be adopted by farmers as an efficient cropping system strategy to reduce striga infestation, increase maize yield and give greater economic productivity.
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Assefa, Banchayehu Tessema, Jordan Chamberlin, Pytrik Reidsma, João Vasco Silva, and Martin K. van Ittersum. "Unravelling the variability and causes of smallholder maize yield gaps in Ethiopia." Food Security 12, no. 1 (December 2, 2019): 83–103. http://dx.doi.org/10.1007/s12571-019-00981-4.
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AbstractEthiopia has achieved the second highest maize yield in sub-Saharan Africa. Yet, farmers’ maize yields are still much lower than on-farm and on-station trial yields, and only ca. 20% of the estimated water-limited potential yield. This article provides a comprehensive national level analysis of the drivers of maize yields in Ethiopia, by decomposing yield gaps into efficiency, resource and technology components, and accounting for a broad set of detailed input and crop management choices. Stochastic frontier analysis was combined with concepts of production ecology to estimate and explain technically efficient yields, the efficiency yield gap and the resource yield gap. The technology yield gap was estimated based on water-limited potential yields from the Global Yield Gap Atlas. The relative magnitudes of the efficiency, resource and technology yield gaps differed across farming systems; they ranged from 15% (1.6 t/ha) to 21% (1.9 t/ha), 12% (1.3 t/ha) to 25% (2.3 t/ha) and 54% (4.8 t/ha) to 73% (7.8 t/ha), respectively. Factors that reduce the efficiency yield gap include: income from non-farm sources, value of productive assets, education and plot distance from home. The resource yield gap can be explained by sub-optimal input use, from a yield perspective. The technology yield gap comprised the largest share of the total yield gap, partly due to limited use of fertilizer and improved seeds. We conclude that targeted but integrated policy design and implementation is required to narrow the overall maize yield gap and improve food security.
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Aristya, Vina Eka, and Samijan Samijan. "The Yield Gap Maize under Intensive Cropping System in Central Java." PLANTA TROPIKA: Jurnal Agrosains (Journal of Agro Science) 10, no. 1 (February 28, 2022): 1–12. http://dx.doi.org/10.18196/pt.v10i1.8789.
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The study aimed to estimate the level of the yield gaps of maize in major producing areas, point out the causes of yield gaps in farmers’ maize fields, and identify opportunities to the existing yield gaps through management practices of maize production in Central Java. This is the strategy for closing the existing yield gaps to achieve food self-sufficiency in agricultural land. Methods to estimates the yield gaps should cover data sources on physical conditions (weather and soil), management practices, and smallholder shapes. The relevant methods for estimating actual yields (Ya), potential (Yp), and water-limited (Yw) were compared. The yield gaps of maize under intensive cropping systems in rainfed ecosystems resulted in significant differences in all cultivation situations. The lowland rainfed maize showed Ya, Yp, and Yw values of 5.57, 12.83, and 12.47 ton/ha, respectively. The major causes of the yield gaps include variety, land preparation, and water issues concerned with the limited water inputs.
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Morris, N. J., T. D. Hurley, and R. J. Densley. "National and regional maize grain and silage strip trial yields." Journal of New Zealand Grasslands 78 (January 1, 2016): 157–62. http://dx.doi.org/10.33584/jnzg.2016.78.510.
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Maize (Zea mays) grain yield in New Zealand has increased linearly, on average by 104 kg/ha/year (R2=0.51) while maize silage yield has increased linearly on average by 166 kg DM/ha/year (R2=0.47), based on strip trial data (1991-2015 for grain, and 1996-2015 for silage). Over the same periods, grain yields (based on 14% moisture content) have increased on average in the lower North Island (LNI) by 175 kg/ha/year (R2=0.45) while average silage yields have increased in the Waikato by 212 kg DM/ha/year (R2=0.48), in the LNI by 177 kg DM/ha/year (R2=0.31) and the South Island by 155 kg DM/ha/year (R2=0.30). Annual variations in yield can be attributed to changes in trial locations and trial co-operators over time. However, overall trends towards increasing yield are due to improvements in hybrid genetics, maize agronomy and management practises. Growing and harvesting costs for producing maize silage on an average soil fertility property in the Waikato have increased 3 c/kg DM over 13 years. Keywords: maize silage, maize grain, Zea mays, corn, yield
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Emmanuel, Bukola, Olajire Fagbola, and Oluwole Osonubi. "Influence of fertiliser application on the occurrence and colonisation of arbuscular mycorrhizal fungi (AMF) under maize/Centrosema and sole maize systems." Soil Research 50, no. 1 (2012): 76. http://dx.doi.org/10.1071/sr11254.
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Soil fertility management practices can influence colonisation of crops by arbuscular mycorrhizal fungi (AMF) and their abundance. The effects of different rates of nitrogen-phosphorus-potassium (NPK) fertiliser on AMF occurrence and colonisation were studied in maize/Centrosema pascuorum and sole maize systems. The NPK treatments were at rates (kg/ha): 0-10-30, 45-10-30, and 0-0-0 (control). The AMF spore populations were enumerated by direct counting under a microscope. Nutrient uptake was calculated as the product of nutrient concentration and shoot dry weight, and maize yield was estimated per ha. In the maize/Centrosema system, spore count, AMF colonisation, and nutrient uptake (except N) decreased with NPK 45-10-30 compared with 0-10-30, although maize yields were comparable at the two fertiliser levels. In the sole maize system, fertiliser application did not influence AMF spore abundance, but colonisation, nutrient uptake, and crop yield increased significantly (P < 0.05) with NPK 45-10-30. Maize yield increased by 1200% under the maize/Centrosema system compared with sole maize at NPK 0-10-30. The lowest values for all parameters were obtained under the control treatments. Colonisation of AMF, nutrient uptake, and maize yield were positively correlated. The maize/Centrosema system can maximise AMF benefits to increase yield and also reduce fertiliser input into agricultural soils, while application of N fertiliser is important to increase yield in the sole maize system.
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KHAN, I. A., G. HASSAN, N. MALIK, R. KHAN, H. KHAN, and S. A. KHAN. "Effect of Herbicides on Yield and Yield Components of Hybrid Maize (Zea mays)." Planta Daninha 34, no. 4 (December 2016): 729–36. http://dx.doi.org/10.1590/s0100-83582016340400013.
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ABSTRACT Maize crop (Zea mays) is facing lots of problems from different pests throughout Asia, including Pakistan. Weed infestation is one of the serious pests that remarkably decrease the grain yield in maize. In Khyber Pakhtunkhwa province of Pakistan, the trend of maize hybrid cultivation is gaining the attention of the farmers due to its higher production. Therefore, in this research we tested herbicides (Stomp 330 E, Dual gold 960 EC, 2,4-D, ester) in maize hybrids (P-3025, P-32T78, P-3203). The experiment was done in RCB design with split plots arrangement, where maize hybrids were kept in main plots, while herbicides were assigned to the subplots. Each treatment was repeated three times at the New Developmental Farm (NDF), at the Peshawar University of Agriculture, Pakistan. Results revealed that both hybrids and herbicides significantly increased plant height, biological yield and grain yield. However, the lowest weed density (142.50 m-2) was observed in Dual Gold 960 EC treated plots. Similarly, plant height (247.188 cm) and grain yield (2.253 ton ha-1) was maximum in maize hybrid P-3025 and Dual gold treated plots. From the instant experiment, it is concluded that the Dual gold 960 EC herbicide is declared as the best herbicide for weed suppression in maize, while maize hybrid P-3025 was the best hybrid giving maximum yield in the study.
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Rahaman, MA, MM Rahman, S. Roy, M. Ahmed, and MS Bhuyan. "On-Farm Study on Intercropping of Hybrid Maize with Different Short Duration Vegetables in the Charland of Tangail." Bangladesh Agronomy Journal 18, no. 2 (July 25, 2016): 65–69. http://dx.doi.org/10.3329/baj.v18i2.28907.
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An experiment was conducted in charland at the Multi Location Testing (MLT) site Bhuapur, Tangail during 2012-13 and 2013-14 under AEZ-8 to find out the suitable intercropping system of hybrid maize with different short duration vegetables with economic return. The experiment was laid out in RCB design with six dispersed (six farmers field) replications. The hybrid maize (ver. BARI Hybrid maize-7), potato (Diamant), spinach (local), red amaranth (BARI Lalsak-1), Radish (BARI Mula-1) were used as the planting materials. Five treatment combinations viz. T1= Sole Maize, T2= 100% Maize (maize paired row) + Potato (var. Diamant), T3= 100% Maize (maize paired row) + Spinach (var. local), T4= 100% Maize (maize paired row) + Red amaranth (var. BARI Lalshak-1) and T5= 100% Maize (Maize paired row) + Radish (var. BARI Mula-1) were studied. Maize grain yield in intercropped combination varied from 5.59-7.62 t ha-1. But the highest grain yield (8.17 t ha-1) was obtained from sole maize. Maize equivalent yields in the intercrops situation ranged from 11.39-19.68 t ha-1 where highest maize equivalent yield 19.68 t ha-1 was recorded from the treatment T3 (100 % maize + spinach). The same combinations also gave highest gross return (Tk. 373930 ha-1) and gross margin (Tk. 258585 ha-1) as well as benefit cost ratio (3.24). Though highest grain yield was recorded from sole maize but equivalent yield and economic return was much lower than the treatment T3.Bangladesh Agron. J. 2015, 18(2): 65-69
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Song, Libing, and Jiming Jin. "Effects of Sunshine Hours and Daily Maximum Temperature Declines and Cultivar Replacements on Maize Growth and Yields." Agronomy 10, no. 12 (November 26, 2020): 1862. http://dx.doi.org/10.3390/agronomy10121862.
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In this study, the crop environment resource synthesis maize (CERES-Maize) model was used to explore the effects of declining sunshine hours (SSH), decreasing daily maximum temperature (Tmax), and cultivar replacements on growth processes and yields of maize in Northern China, a principal region of maize production. SSH were found to decrease at 189 of 246 meteorological stations in the northern provinces of China over the period of 1994–2012, and a decrease in Tmax was also seen at many of these stations. The most significant decrease in these two climate variables occurred during June to September, a period for summer maize growth. For this study, seven crop field stations in the ShaanXi province, in the Guanzhong Plain, were selected, all of which showed a downward trend in SSH and Tmax over the period of 1994–2012. The CERES-Maize model was first calibrated and validated against yield observations for these stations over the same period, and the yield simulations matched very well with observations. The model was then driven by the detrended SSH and Tmax data, and the simulations were compared with those with a trend in these two input variables. The decline in SSH was found to reduce the maize yield by 8% on average over these stations due mostly to limited root growth, and the decline for shorter SSH reduced the yield more than that for longer SSH. Meanwhile, the decrease in higher Tmax increased the yield by extending the growth period, while the decrease in lower Tmax reduced the yield by lowering the thermal time. In addition, the observed yield showed a significant upward trend, and our modeling results indicate that this increase can be attributed mainly to the frequent cultivar replacements over our study period. The replaced cultivars usually had a longer growth period than the prior ones, which compensated for the yield loss due to fewer SSH. Net maize production decreased with the combined effects of the declines in SSH and Tmax on yields. This study quantifies the contribution of changes in climate and cultivars to maize growth processes and yields and provides strong insights into maize production under a complex dynamic climate system.
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Liu, Zhijuan, Xiaoguang Yang, Xiaomao Lin, Kenneth G. Hubbard, Shuo Lv, and Jing Wang. "Narrowing the Agronomic Yield Gaps of Maize by Improved Soil, Cultivar, and Agricultural Management Practices in Different Climate Zones of Northeast China." Earth Interactions 20, no. 12 (April 1, 2016): 1–18. http://dx.doi.org/10.1175/ei-d-15-0032.1.
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Abstract Northeast China (NEC) is one of the major agricultural production areas in China, producing about 30% of China’s total maize output. In the past five decades, maize yields in NEC increased rapidly. However, farmer yields still have potential to be increased. Therefore, it is important to quantify the impacts of agronomic factors, including soil physical properties, cultivar selections, and management practices on yield gaps of maize under the changing climate in NEC in order to provide reliable recommendations to narrow down the yield gaps. In this study, the Agricultural Production Systems Simulator (APSIM)-Maize model was used to separate the contributions of soil physical properties, cultivar selections, and management practices to maize yield gaps. The results indicate that approximately 5%, 12%, and 18% of potential yield loss of maize is attributable to soil physical properties, cultivar selection, and management practices. Simulation analyses showed that potential ascensions of yield of maize by improving soil physical properties PAYs, changing to cultivar with longer maturity PAYc, and improving management practices PAYm for the entire region were 0.6, 1.5, and 2.2 ton ha−1 or 9%, 23%, and 34% increases, respectively, in NEC. In addition, PAYc and PAYm varied considerably from location to location (0.4 to 2.2 and 0.9 to 4.5 ton ha−1 respectively), which may be associated with the spatial variation of growing season temperature and precipitation among climate zones in NEC. Therefore, changing to cultivars with longer growing season requirement and improving management practices are the top strategies for improving yield of maize in NEC, especially for the north and west areas.
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Xia, Haiyong, Lan Wang, Yanfang Xue, Weilin Kong, Yanhui Xue, Ruipeng Yu, Huasen Xu, et al. "Impact of Increasing Maize Densities on Agronomic Performances and the Community Stability of Productivity of Maize/Peanut Intercropping Systems." Agronomy 9, no. 3 (March 22, 2019): 150. http://dx.doi.org/10.3390/agronomy9030150.
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Rational crop community structure plays an important role in maximizing the intercropping yield advantage. Effects of increasing maize densities in maize (Zea mays L.)/peanut (Arachis hypogaea L.) intercropping on yields and other agronomic traits, and the community stability of productivity were conducted across three different experimental sites. There were significant and positive correlations between maize densities and both maize grain/biomass yields and corresponding partial land equivalent ratios (LERs) across all three locations; but grain/biomass yields and partial LERs of peanut were all negatively correlated with maize densities in each or across all locations. LERs of grain yields averaged over three locations ranged from 0.89 to 0.98, while LERs of biomass yields ranged from 0.94 to 1.09 (>1.0 except for the maize inter-plant distance of 27 cm), indicating the intercropping advantage on biomass yields but not grain yields. Peanut had significantly lower kernel harvest indexes than those in monoculture. Excessive narrowing maize inter-plant distances reduced the community stability of productivity severely (especially for maize and total LERs) and are more likely to lead to abnormal maize and peanut plants. Therefore, a rational increase of maize densities in intercropping is suggested to keep the balance between maize and peanut and the comprehensive yield advantage.
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CHEN, C., G. S. ZHOU, and Y. M. PANG. "Impacts of climate change on maize and winter wheat yields in China from 1961 to 2010 based on provincial data." Journal of Agricultural Science 153, no. 5 (November 10, 2014): 825–36. http://dx.doi.org/10.1017/s0021859614001154.
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SUMMARYThe impacts of climate change on maize and winter wheat yields in China from 1961 to 2010 were studied in the current paper, based on provincial data. The results indicated that rising average temperatures resulted in decreased maize yield in most of the study regions, and reduced maize production at a national scale by c. 3·4% relative to the average from 1961 to 2010. Moreover, the warming resulted in a decrease of winter wheat yield in the Huang-Huai-Hai and southwest regions and led to an overall loss in production of c. 5·8% at a national scale. The decrease of diurnal temperature range (DTR) affected maize yield adversely in the west and central regions, but a beneficial DTR effect was observed in the other provinces. The changes in DTR resulted in increased maize production at a national scale by c. 0·6%. However, the generally decreasing trends for DTR resulted in an increasing winter wheat yield in the northwest and south regions but a decreasing yield in the other provinces, and the production of winter wheat at a national scale was reduced by c. 2·9% because of changes in DTR. Changes in precipitation increased maize and winter wheat yields in some provinces but reduced crop yield in others. There was no significant effect of precipitation on maize production at a national scale, but the contribution of precipitation change reached c. 1·6% for winter wheat production.
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Epule, Terence Epule, Abdelghani Chehbouni, and Driss Dhiba. "Recent Patterns in Maize Yield and Harvest Area across Africa." Agronomy 12, no. 2 (February 1, 2022): 374. http://dx.doi.org/10.3390/agronomy12020374.
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Africa’s rapidly growing population is exerting a lot of pressure on agricultural resources including maize yields and harvest area. Across Africa, access to advanced options for increasing maize yields are inadequate. This is daunting as most of the cultivation of maize is in the hands of smallholder farmers who have inadequate access to modern methods of farming. This has resulted in an increase in dependency on harvest area to increase yields. However, it is still unclear how this maize-yield-harvest-area dynamic plays out across different regions of Africa. This study uses crop yield and harvest area time series data from FAOSTAT for the period 1961–2019. The data are analyzed using linear interpolation, the normalization technique, the rate of change, the Pearson correlation coefficient, the coefficient of determination and regression analysis. The results show that maize yields and harvest area have increased by 71.35% and 60.12%, respectively across Africa. Regionally, West, Middle and East Africa witnessed a positive relationship between maize yields and harvest area while in North and Southern Africa, maize yields and harvest area have an inverse relationship. For example, in assessing the relationship between maize yield and harvest area in Africa, this work observes that North Africa has a correlation of −35% and an R2 of 12%, while Southern Africa has a correlation of −36% and R2 of 13%. On the other hand, West Africa has a correlation of 87% and an R2 of 76%, while Middle Africa recorded a correlation of 66% and an R2 of 42%. East Africa recorded a correlation of 76% and R2 of 61%. These results confirm that maize yield and harvest area have a positive relationship in West, Middle and East Africa and a negative relationship in North and Southern Africa. These results underscore the fact that in North and Southern Africa, maize production is less dependent on harvest area as is the case in the other regions of Africa. Such findings have implications for adaptation planning especially in sub-Saharan Africa where food insecurity is closely related to land and forest degradation.
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Kresovic, Branka, Bosko Gajic, Angelina Tapanarova, Borivoj Pejic, Zorica Tomic, Dragan Vujovic, and Ljubomir Zivotic. "Effects of deficit irrigation on grain yield and ear characteristics of maize." Journal of Agricultural Sciences, Belgrade 60, no. 4 (2015): 419–33. http://dx.doi.org/10.2298/jas1504419k.
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In the Vojvodina region, drought is an important factor limiting grain yield in maize. The aims of this research were to compare irrigation scheduling in maize (cv. ZP SC 684), and to evaluate grain yield and ear characteristics. A 3-year field experiment was carried out in the Vojvodina region, a northern part of the Republic of Serbia (384 mm of rainfall in the maize-growing period). Maize was subjected to four irrigation levels (rainfed - I0 and supply at 80-85% - I1, 70-75% - I2 and 60-65% - I3 of field capacity). The results indicated a large yearly variability, mainly due to a rainfall event at the flowering, fertilization and grain filling stages. A significant irrigation effect was observed for all the variables under study, with significant differences between the three irrigation treatments. The grain yield ranged between 8.73 and 16.33 t ha-1. The highest grain yield of maize (average of 15.08 t ha-1) was in the I1 treatment, while the non-irrigated (I0) treatment had the lowest yield (average of 10.20 t ha-1), a 35% grain yield reduction. With the decrease of irrigation water, the grain yield of maize decreased. The most distinctive impact the irrigation had on maize yield was during the warm and very dry growth period of the year of 2008. Maize in the Vojvodina region can be cultivated with acceptable yields while saving irrigation water and maximizing resource-use efficiency.
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Villwock, Daniel, Sabine Kurz, Jens Hartung, and Maria Müller-Lindenlauf. "Effects of Stand Density and N Fertilization on the Performance of Maize (Zea mays L.) Intercropped with Climbing Beans (Phaseolus vulgaris L.)." Agriculture 12, no. 7 (July 5, 2022): 967. http://dx.doi.org/10.3390/agriculture12070967.
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Maize is Germany’s most important fodder and energy crop. However, pure maize cultivation has ecological disadvantages. Moreover, its yield is low in crude protein, an important feed quality parameter. Maize–bean intercropping can potentially address both issues. A bean variety specially developed for intercropping was first introduced in 2016. Using this variety, a network of institutions conducted 13 field trials from 2017 to 2020 on four sites in Germany. We sought to determine the effects of stand density and nitrogen (N) fertilization on dry matter yield, crude protein yield, and soil mineral N content (Nmin) at harvest of intercropped vs. pure maize. The three intercropping bean densities we tested (7.5, 5.5, and 4 plants/m2) produced non-significantly different yields of dry matter or crude protein, given a maize density of 7.5–8 plants/m2. Intercropping was inferior to pure maize in dry matter yield, but non-significantly different in crude protein yield. Under neither cropping strategy were significant losses in dry matter or crude protein yield recorded with reduced compared to full N fertilization. At full fertilization, however, both pure maize systems and the 8/4 maize–bean intercrop system left significantly higher Nmin at harvest than the other variants of the corresponding system or N fertilization level and thus an increased risk of nitrate leaching. We encourage further optimization of yield performance in maize–bean intercropping, e.g., through breeding or promotion of biological N fixation via rhizobia inoculation. Furthermore, we recommend reducing N fertilization levels in maize cultivation.
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Njarui, D. M. G., and J. G. Mureithi. "Evaluation of lablab and velvet bean fallows in a maize production system for improved livestock feed supply in semiarid tropical Kenya." Animal Production Science 50, no. 3 (2010): 193. http://dx.doi.org/10.1071/an09137.
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The mixed crop–livestock farming systems of semiarid tropical Kenya are characterised by low livestock feed supply. The contribution of lablab and velvet bean to fodder production in a maize production system was investigated in the eastern region of Kenya. The experiment was run in three cycles, where each cycle consisted of a short legume fallow phase of ~6 months, followed by a maize-cropping phase. At the end of the fallow phase, the legume herbage was incorporated in soil at three levels; 0, 50 and 100% of total DM yield and maize planted. Maize yield from the legume fallow plots was compared with maize grown after natural fallow and maize top-dressed with 40 kg nitrogen/ha and nil nitrogen fertiliser. Overall, herbage DM yield was highest in velvet bean (3.9 t/ha) followed by lablab (3.4 t/ha) and lowest in natural fallow (2.2 t/ha). Mean crude protein from velvet bean was 13.5% of DM, which was significantly (P < 0.05) higher than that of lablab (8.4% of DM) and natural weedy fallow (3.5% of DM). Maize grain yield following lablab fallow was 38% (3569 kg/ha) and 27% (1810 kg/ha) in short rains (SR) 2002 and SR 2004, respectively, higher than maize succeeding natural fallow. However, maize planted after velvet bean fallow was 43% (3728 kg/ha) and 29.4% (1828 kg/ha) in SR 2002 and SR 2004, respectively, higher than in maize grown after natural fallow. Generally, the highest maize yield among the fallows was recorded in plots where legumes were incorporated in soil at 50% of total DM implying that the other 50% was available for livestock feed. Maize stovers DM yields were highest at the higher (100%) and middle (50%) level of legume incorporation, and yields were more than those from natural weedy fallow. Maize production under the legume fallow system was more profitable than from natural weedy fallows. It was concluded that if lablab and velvet bean are integrated in cropping systems as fallows, they can provide highly nutritious livestock feeds and improve maize yield and are recommended in the maize production systems within semiarid tropical Kenya.
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Srdic, Jelena, Milena Simic, Zivorad Videnovic, and Zorica Pajic. "Yields of ZP sweet maize hybrids in dependence on sowing densities." Genetika 40, no. 3 (2008): 293–301. http://dx.doi.org/10.2298/gensr0803293s.
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Sweet maize differs from maize of standard grain quality by many important traits that affect the ear appearance, and especially by traits controlling taste. The ear appearance trait encompasses the kernel row number, configuration, row pattern (direction and arrangement), seed set, kernel width and depth, ear shape and size. The quality of immature kernels is controlled by genes by which sweet maize differs from common maize. In order to obtain high-ranking and high-quality yields, it is necessary to provide the most suitable cropping practices for sweet maize hybrids developed at the Maize Research Institute, Zemun Polje. The adequate sowing density is one of more important elements of correct cropping practices. The objective of the present study was to determine the effect of four sowing densities in four ZP sweet maize hybrids of different FAO maturity groups on ear qualitative traits and yields obtained on chernozem type of soil in Zemun Polje. The observed traits of sweet maize (ear length, kernel row number, number of kernels per row, yield and shelling percentage) significantly varied over years. The higher sowing density was the higher yield of sweet maize was, hence the highest ear yield of 9.67 t ha-1 , on the average for all four hybrids, was recorded at the highest sowing density of 70,000 plants ha-1. The highest yield was detected in the hybrid ZP 424su. The highest shelling percentage (67.81%) was found in the hybrid ZP 521su at the sowing density of 60,000 plants ha-1. Generally, it can be stated that sweet maize hybrids of a shorter growing season (FAO 400) could be cultivated up to 70,000 plants ha-1, while those of a longer growing season (FAO 500) could be grown up to 60,000 plants ha-1. In such a way, the most favorable parameters of yields and the highest yields can be obtained.
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Sadina, B., A. Amoding, R. Amayo, and M. Biruma. "Integrating Soybean Residues With Nitrogen Fertilizer for Improved Maize Production in Eastern Uganda." Journal of Agricultural Science 11, no. 8 (June 15, 2019): 206. http://dx.doi.org/10.5539/jas.v11n8p206.
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Soybean has become one of the dominant crops in Ugandan farming systems; however the contribution of its residues to improve soil and crop productivity is less known. To investigate the role of soybean residues to enhance crop productivity, researcher-managed experiments were conducted for two seasons (2011B and 2012A) in Namayingo and Tororo districts, representing the L. Victoria crescent, and South-eastern L. Kyoga basin agro-ecological zones, respectively. Factorial treatments of three levels of soybean residues (0, 2 and 4 t ha-1) and four levels of N fertilizer (0, 30, 60 and 120 kg ha-1 N) in form of urea were applied in maize fields in a randomized complete block design so as to; determine the optimum nutrient combination for maize, and establish the added yield benefits, if any, of using soybean residues with N fertilizer in maize production. Site yields varied significantly (p < 0.001), with higher maize yields obtained in Namayingo compared to Tororo. Significantly (p < 0.05) higher maize grain yields were obtained with the highest nutrient input combinations of 2 t ha-1 residue and 60 kg ha-1 N (yield increment of 71.72% above the control) in Namayingo district and 4 t ha-1 residue combined with120 kg ha-1 N increased maize grain yield by 140.69% above the control in Tororo. The added maize grain yield benefits ranged from 2540 kg grain ha-1 to 3250 kg grain ha-1 in Namayingo and from 2000 kg grain ha-1 to 2310 kg grain ha-1 in Tororo. Combined use of soybean residue with N fertilizer has been found to have agronomic yield benefits to maize production.
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WADDINGTON, S. R., MULUGETTA MEKURIA, S. SIZIBA, and J. KARIGWINDI. "LONG-TERM YIELD SUSTAINABILITY AND FINANCIAL RETURNS FROM GRAIN LEGUME–MAIZE INTERCROPS ON A SANDY SOIL IN SUBHUMID NORTH CENTRAL ZIMBABWE." Experimental Agriculture 43, no. 4 (October 2007): 489–503. http://dx.doi.org/10.1017/s0014479707005303.
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To measure the yield and financial returns from five grain legume–maize intercrop combinations over 12 years of cropping, a field experiment was conducted on a loamy sand soil in the subhumid unimodal rainfall environment of Domboshava in north-central Zimbabwe. Inputs and management followed smallholder practice, including partial grazing of crop residues and a zero mineral fertilizer treatment. The intercropped legumes grew moderately well most years. Cowpea averaged the highest grain yield (0.244 t ha−1) and haulm yield (1.54 t ha−1) over the 12 years, followed by pigeonpea and sugar bean. Intercropped pigeonpea yield was the least variable of the legumes over the years. Maize grain yield was highly variable across years with or without fertilizer and was reduced in years of low (533 mm) and high (1313 mm) rainfall. The pigeonpea–maize intercrop grown without fertilizer produced 0.11 t ha−1 (6.25 %) more maize grain yield per year than sole crop maize, in addition to pigeonpea grain and haulms. Intercropped cowpea (which yielded more than double the above-ground non-grain biomass of pigeonpea) had less effect on maize grain yield. There was no trend to greater benefits from the legumes on maize yield after more years of intercropping. Net present values of annual margins accumulated over the 12 years for sole maize with fertilizer (US$1719 ha−1) and without fertilizer (US$935 ha−1) were higher than the fertilized and unfertilized intercropping options (US$1017 and US$745 ha−1). Pigeonpea or cowpea–unfertilized maize generated more financial returns than the other intercrops, but the low yields and high labour costs for the legumes made the intercrops financially unattractive. We conclude that regularly intercropped pigeonpea or cowpea can to a small extent help to maintain maize yield when maize is grown without mineral fertilizer on sandy soils in sub humid zones of Zimbabwe, and simultaneously provide some nutritious food, but that financial considerations will encourage smallholder farmers to persist with growing low input sole crop maize.
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Zhanbota, Aidyn, Rana Shahzad Noor, Azeem Iqbal Khan, Gangyi Wang, Muhammad Mohsin Waqas, Adnan Noor Shah, and Sami Ullah. "A Two-Year Study on Yield and Yield Components of Maize-White Bean Intercropping Systems under Different Sowing Techniques." Agronomy 12, no. 2 (January 18, 2022): 240. http://dx.doi.org/10.3390/agronomy12020240.
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Food security is directly coupled with enhanced production under optimized cropping intensity. Intercropping is a diversified and sustainable agricultural technique with optimized cropping intensity. Intercropping is used to obtain a higher yield and more balanced products per unit area. This study was performed at Aidyn Research Institute, Nur Sultan, Kazakhstan, in 2018 and 2019 to identify the effects of different sowing patterns on maize-white bean (Zea mays–Phaseolus vulgaris) sowing systems. The field experiment was arranged in a randomized complete block design with three replications. Göynük-98 was used for white beans, and SY Miami was used for maize, with 20 cm and 40 cm row spaces for maize, and 10 cm and 20 cm row spaces for white bean and sole maize, sole white bean, maize-white bean-maize-white bean, maize-white bean-white bean-maize and white bean-maize-maize-white bean sowing systems. The results showed that wide row spacing was better than narrow row spacing in terms of land equivalent ratio (LER) for both maize and white beans, but grain yield was higher in narrow row spacing. Yield items for both maize and white beans showed higher values in intercropping. Grain yield was higher in sole sowing. The maize-white bean-white bean-maize sowing system for maize and the white bean-maize-maize-white bean sowing system for white beans were determined as the best sowing systems according to the yield components.
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ZHANG, H., M. XU, and F. ZHANG. "Long-term effects of manure application on grain yield under different cropping systems and ecological conditions in China." Journal of Agricultural Science 147, no. 1 (December 22, 2008): 31–42. http://dx.doi.org/10.1017/s0021859608008265.
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SUMMARYRice (Oryza sativaL.), wheat (Triticum aestivumL.) and maize (Zea maysL.) are the main crops grown in China. Applying organic manures is an important practice in sustaining soil fertility and agricultural productivity in these cropping systems. The current paper presents the effects of manure application on grain yields in nine long-term experiments that consist of one continuous maize, four wheat–maize and four rice-based cropping systems across a wide range of agro-ecological regions in China. The study shows that regular manure application can increase soil organic carbon (SOC) and grain yield across all the sites. Overall, regular use of manure results in larger increases in SOC in the maize and wheat–maize systems than in the rice-based systems. Application of manure tends to increase the grain yield in the maize and wheat–maize systems during the final years, but increases the grain yield in the rice-based systems during the initial years of the long-term experiments. There is only one site that shows significant improvement in the yield trend in association with the application of manure. The effects of manure on yield trends are probably determined by the initial yield and/or the ‘organic C effect’ that may cause gradual improvements in SOC and soil physical properties.
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DE REZENDE, P. M., and M. A. P. RAMALHO. "FORAGE PRODUCTION OF INTERCROPPED MAIZE AND SOYABEAN CULTIVARS." Experimental Agriculture 36, no. 1 (January 2000): 91–100. http://dx.doi.org/10.1017/s0014479700361087.
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Seven maize cultivars and seven soyabean cultivars were grown in monocultures, and in all possible 49 mixtures of maize and soyabean, at two locations to assess the intercropping advantages of mixtures. On average, intercrops produced 6% more dry matter and 17.5% more protein than the monocultures of maize, the most productive component. Both the dry matter and protein yields of intercrops were closely correlated with the yield of the maize component, but not with that of the soyabean component, indicating that there was no need for a specific breeding programme for maize to be used in intercropping systems. Although the average intercropping advantage, the monoculture yields of maize cultivars and, to a lesser extent, the monoculture yields of soyabean cultivars differed between locations, there was no evidence that the yield of various intercrop combinations differed between locations.
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Batchelor, William D., L. M. Suresh, Xiaoxing Zhen, Yoseph Beyene, Mwaura Wilson, Gideon Kruseman, and Boddupalli Prasanna. "Simulation of Maize Lethal Necrosis (MLN) Damage Using the CERES-Maize Model." Agronomy 10, no. 5 (May 15, 2020): 710. http://dx.doi.org/10.3390/agronomy10050710.
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Maize lethal necrosis (MLN), maize streak virus (MSV), grey leaf spot (GLS) and turcicum leaf blight (TLB) are among the major diseases affecting maize grain yields in sub-Saharan Africa. Crop models allow researchers to estimate the impact of pest damage on yield under different management and environments. The CERES-Maize model distributed with DSSAT v4.7 has the capability to simulate the impact of major diseases on maize crop growth and yield. The purpose of this study was to develop and test a method to simulate the impact of MLN on maize growth and yield. A field experiment consisting of 17 maize hybrids with different levels of MLN tolerance was planted under MLN virus-inoculated and non-inoculated conditions in 2016 and 2018 at the MLN Screening Facility in Naivasha, Kenya. Time series disease progress scores were recorded and translated into daily damage, including leaf necrosis and death, as inputs in the crop model. The model genetic coefficients were calibrated for each hybrid using the 2016 non-inoculated treatment and evaluated using the 2016 and 2018 inoculated treatments. Overall, the model performed well in simulating the impact of MLN damage on maize grain yield. The model gave an R2 of 0.97 for simulated vs. observed yield for the calibration dataset and an R2 of 0.92 for the evaluation dataset. The simulation techniques developed in this study can be potentially used for other major diseases of maize. The key to simulating other diseases is to develop the appropriate relationship between disease severity scores, percent leaf chlorosis and dead leaf area.
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Musundire, Lennin, Shorai Dari, John MacRoberts, H. S. Yang, John Derera, and Pangirayi Tongoona. "Effect of Male Planting Date and Female Plant Population on Hybrid Maize Yield and Evaluation of Use of Hybrid-Maize Simulation Model for Grain Yield Estimation in Hybrid Maize Seed Production." Journal of Agricultural Science 10, no. 3 (February 9, 2018): 333. http://dx.doi.org/10.5539/jas.v10n3p333.
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The study was carried out to determine the effect of male planting date (MPD) and female plant population (FPP) on the grain yield (GY) performance of a three-way hybrid and to evaluate Hybrid-Maize simulation model for grain yield estimation in hybrid seed maize production. Fifteen treatment combinations of five MPD as a deviation from the female planting date and three FPP replicated three times were used. The Hybrid-Maize simulation model programme was used to forecast the possible GY outcomes for the fifteen treatments of the experiment using estimated parameters and weather data for the 2006/7 season. The field experiment produced significant (P < 0.005) main effects but non-significant interaction effects for GY, yield components and antheis-silking interval (ASI). Female seed yield was affected by time of male pollen shed relative to female silking: ASI, with highest yields associated with close synchrony (ASI= +/-3 days). ASI had a significant effect on the number of kernels per ear (KPE), with the greatest KPE (318) associated with an ASI of +/-3 days. FPP effects on yield are typical for maize, showing a curvilinear response from low to high density. The optimum population density for GY was 5.4 plants m-2. Simulation output from the Hybrid-Maize simulation model showed an overestimation of GY compare to the observed yield. Furthermore, the model was unable to predict yields for the low FPP of 2.7 plants m-2. We found that Hybrid-Maize simulation model has limited potential for simulating hybrid maize seed production, as it does not accommodate limitations that may occur during the growing season: difference in male and female planting dates, pollen density and dispersion. Hence, the fixed parameters for the Hybrid-Maize simulation model can only be used in maize commercial production.
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Sonko, Ebrima, Sampson K. Agodzo, and Philip Antwi-Agyei. "Evaluating the Yield Response of Maize (Zea mays L.) and Rice (Oryza sativa L.) to Future Climate Variability in The Gambia." Journal of Agricultural Studies 7, no. 2 (April 15, 2019): 11. http://dx.doi.org/10.5296/jas.v7i2.14664.
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Climate change and variability impact on staple food crops present a daunting challenge in the 21st century. The study assesses future climate variability on maize and rice yield over a 30-year period by comparing the outcomes under two GCM models, namely, CSIRO_RCP4.5 and NOAA_RCP4.5 of Australia’s Commonwealth Scientific and National Oceanic and Atmospheric Administration respectively. Historical climate data and yield data were used to establish correlations and then subsequently used to project future yields between 2021 and 2050. Using the average yield data for the period 1987-2016 as baseline yield data, future yield predictions for 2021-2030, 2031-2040 and 2041-2050 were then compared with the baseline data. The results showed that the future maize and rice yield would be vulnerable to climate variability with CSIRO_RCP4.5 showing increase in maize yield whilst CSIRO_RCP4.5 gives a better projection for rice yield. Furthermore, the results estimated the percentage mean yield gain for maize under CSIRO_RCP4.5 and NOAA_ RCP4.5 by about 17 %, 31 % and 48 % for the period 2021-2030, 2031-2040 and 2041-2050 respectively. Mean rice yield lossess of -23 %, -19 % and -23 % were expected for the same period respectively. The study recommended the use of improved rice and maize cultivars to offset the negative effects of climate variability in future.
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Maitah, Mansoor, Karel Malec, Ying Ge, Zdeňka Gebeltová, Luboš Smutka, Vojtěch Blažek, Ludmila Pánková, Kamil Maitah, and Jiří Mach. "Assessment and Prediction of Maize Production Considering Climate Change by Extreme Learning Machine in Czechia." Agronomy 11, no. 11 (November 19, 2021): 2344. http://dx.doi.org/10.3390/agronomy11112344.
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Machine learning algorithms have been applied in the agriculture field to forecast crop productivity. Previous studies mainly focused on the whole crop growth period while different time windows on yield prediction were still unknown. The entire growth period was separated into each month to assess their corresponding predictive ability by taking maize production (silage and grain) in Czechia. We present a thorough assessment of county-level maize yield prediction in Czechia using a machine learning algorithm (extreme learning machine (ELM)) and an extensive set of weather data and maize yields from 2002 to 2018. Results show that sunshine in June and water deficit in July were vastly influential factors for silage maize yield. The two primary climate parameters for grain maize yield are minimum temperature in September and water deficit in May. The average absolute relative deviation (AARD), root mean square error (RMSE), and coefficient (R2) of the proposed models are 6.565–32.148%, 1.006–1.071%, 0.641–0.716, respectively. Based on the results, silage yield will decrease by 1.367 t/ha (3.826% loss), and grain yield will increase by 0.337 t/ha (5.394% increase) when the max temperature in May increases by 2 °C. In conclusion, ELM models show a great potential application for predicting maize yield.
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Kubešová, K., J. Balík, O. Sedlář, and L. Peklová. "The impact of nitrogen fertilizer injection on kernel yield and yield formation of maize." Plant, Soil and Environment 60, No. 1 (January 22, 2014): 1–7. http://dx.doi.org/10.17221/208/2013-pse.
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In field experiments over three vegetation periods (2010–2012) we studied impact of the CULTAN (controlled uptake long term ammonium nutrition) method on yield and yield parameters of kernel maize. The field experiments were conducted at three sites with different soil-climatic conditions. CULTAN treatments were fertilized once with the total amount of nitrogen using an injection machine (at the canopy height of 20 cm) and compared to conventional fertilization with calcium ammonium nitrate application at pre-sowing preparations. In all treatments the amount of nitrogen was the same, 140 kg N/ha. In 2010 at Humpolec site, CULTAN urea ammonium nitrate + inhibitor of nitrification treatment gave by 20.5% higher number of ears compared to CULTAN urea ammonium nitrate treatment. In 2011 at Ivanovice all CULTAN treatments reached statistically significantly higher number of kernels per ear. The higher 1000 kernel weight at CULTAN treatments was observed in 2012 at the Ivanovice site; a statistically significant difference between conventional and CULTAN urea ammonium nitrate + inhibitor of nitrification treatment was observed. Fertilization of maize with nitrogen using the CULTAN method under the conditions of the Czech Republic provides the same yield certainty as the conventional surface application and the CULTAN method of fertilization increases the yield certainty at delayed sowing. Harvest index was statistically significantly influenced by year, fertilization treatment and site.
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Zaid, Imdad Ullah, Hidayat-ur Rahman, Sajid Khan, Sana Ullah Khan, Ghulam Ullah, Monsif ur Rehman, Rafi Ullah, and Nazeer Ahmad. "Heterotic response of three-way cross maize hybrids for grain yield and yield components." Journal of Agricultural Science and Applications 03, no. 01 (March 31, 2014): 24–29. http://dx.doi.org/10.14511/jasa.2014.030105.
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AKINNIFESI, F. K., W. MAKUMBA, and F. R. KWESIGA. "SUSTAINABLE MAIZE PRODUCTION USING GLIRICIDIA/MAIZE INTERCROPPING IN SOUTHERN MALAWI." Experimental Agriculture 42, no. 4 (September 25, 2006): 441–57. http://dx.doi.org/10.1017/s0014479706003814.
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Maize production in Malawi is limited by high costs and sub-optimal use of chemical fertilizers under continuous cultivation. A long-term gliricidia/maize trial was undertaken on a Ferric Lixisol from 1991/92 to 2001/02. The purpose of the study was to assess the performance of a gliricidia/maize intercropping system as a low-input soil fertility replenishment option in southern Malawi. The experiment was a 2 × 3 × 3 factorial design with three replications. Treatments included two maize cropping systems (with and without gliricidia trees), and three rates of inorganic N fertilizer (0, 24 and 48 N kg ha−1 representing 0, 25 and 50% of the national recommended N rate), and three rates of P fertilizer application (0, 20 and 40 P ha−1 representing 0, 50 and 100% of the recommended rate). No effect of P was detected on yield early in the trial, and this treatment was discontinued. The gliricidia pruning biomass did not decline after 10 years of intensive pruning, with strong correlation between tree biomass production and years after establishment (r = 0.91, p < 0.001). Application of gliricidia prunings increased maize yields by three times compared to the yield of unfertilized sole maize. Maize yield from the unfertilized gliricidia pruning treatment was superior to the yield from sole maize supplemented with a quarter or half the recommended N rate. The study confirmed that a gliricidia/maize intercropping system is a promising soil fertility replenishment option in southern Malawi and elsewhere in southern Africa.