Improved Technologies for Higher Maize Production

2020 ◽  
Author(s):  
Manpreet Jaidka ◽  
Shikha Bathla ◽  
Ramanjit Kaur
Keyword(s):  
Maize Production

Optimizing genotype-environment-management interactions to ensure silage maize production in the Chinese Maize Belt

2020 ◽  
Vol 80 (2) ◽  
pp. 133-146
Author(s):  
L Zhang ◽  
Z Zhang ◽  
J Cao ◽  
Y Luo ◽  
Z Li
Keyword(s):  
Field Experiments ◽  
Weather Conditions ◽  
Growth Cycle ◽  
High Energy ◽  
Risk Level ◽  
Energy Yield ◽  
Maize Production ◽  
Early Date ◽  
Environment Management ◽  
Silage Maize

Grain maize production exceeds the demand for grain maize in China. Methods for harvesting good-quality silage maize urgently need a theoretical basis and reference data in order to ensure its benefits to farmers. However, research on silage maize is limited, and very few studies have focused on its energetic value and quality. Here, we calibrated the CERES-Maize model for 24 cultivars with 93 field experiments and then performed a long-term (1980-2017) simulation to optimize genotype-environment-management (G-E-M) interactions in the 4 main agroecological zones across China. We found that CERES-Maize could reproduce the growth and development of maize well under various management and weather conditions with a phenology bias of <5 d and biomass relative root mean square error values of <5%. The simulated results showed that sowing long-growth-cycle cultivars approximately 10 d in advance could yield good-quality silage. The optimal sowing dates (from late May to July) and harvest dates (from early October to mid-November) gradually became later from north to south. A high-energy yield was expected when sowing at an early date and/or with late-maturing cultivars. We found that Northeast China and the North China Plain were potential silage maize growing areas, although these areas experienced a medium or even high frost risk. Southwestern maize experienced a low risk level, but the low soil fertility limited the attainable yield. The results of this paper provide information for designing an optimal G×E×M strategy to ensure silage maize production in the Chinese Maize Belt.

Irrigation Management Effects on Crop Water Productivity for Maize Production in the Texas High Plains

2021 ◽  
Vol 6 (1) ◽  
pp. 37-43
Author(s):  
Gary W. Marek ◽  
Thomas H. Marek ◽  
Steven R. Evett ◽  
Yong Chen ◽  
Kevin R. Heflin ◽  
...  
Keyword(s):  
Water Productivity ◽  
Irrigation Management ◽  
High Plains ◽  
Crop Water ◽  
Maize Production ◽  
Crop Water Productivity ◽  
Texas High Plains ◽  
Management Effects

Modeling maize production under growth stage-based deficit irrigation management with RZWQM2

2021 ◽  
Vol 248 ◽  
pp. 106767
Author(s):  
Huihui Zhang ◽  
Liwang Ma ◽  
Kyle R. Douglas-Mankin ◽  
Ming Han ◽  
Thomas J. Trout
Keyword(s):  
Deficit Irrigation ◽  
Growth Stage ◽  
Irrigation Management ◽  
Maize Production

scholarly journals Legacy effect of green manure crops fertilized with calcium phosphite on maize production and soil properties

2021 ◽  
Vol 295 ◽  
pp. 113092
Author(s):  
Mario Fontana ◽  
Thomas Guillaume ◽  
Luca Bragazza ◽  
Saïd Elfouki ◽  
Mathieu Santonja ◽  
...  
Keyword(s):  
Soil Properties ◽  
Green Manure ◽  
Maize Production ◽  
Legacy Effect ◽  
Green Manure Crops

scholarly journals Author Correction: Metal nanoparticles as effective promotors for Maize production

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Son A. Hoang ◽  
Liem Q. Nguyen ◽  
Nhung H. Nguyen ◽  
Chi Q. Tran ◽  
Dong V. Nguyen ◽  
...  
Keyword(s):  
Metal Nanoparticles ◽  
Maize Production

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

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