scholarly journals Multimodel ensembles improve predictions of crop-environment-management interactions

2018 ◽  
Vol 24 (11) ◽  
pp. 5072-5083 ◽  
Author(s):  
Daniel Wallach ◽  
Pierre Martre ◽  
Bing Liu ◽  
Senthold Asseng ◽  
Frank Ewert ◽  
...  
Keyword(s):  
Environment Management ◽  
Multimodel Ensembles ◽  
Crop Environment

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.

A study of environment management for physical fitness in elementary school

2014 ◽  
Author(s):  
Tian-Syung Lan ◽  
Kai-Ling Chen ◽  
Pin-Chang Chen ◽  
Meng-Hsiang Wang ◽  
Pei-Hsuan Chiu
Keyword(s):  
Elementary School ◽  
Physical Fitness ◽  
Environment Management

PENDUGAAN EROSI DAN NERACA AIR EMBUNG DI WILAYAH PERBATASAN KABUPATEN BELU NUSA TENGGARA TIMUR

2018 ◽  
Vol 4 (1) ◽  
Author(s):  
Wahyu Widiyono
Keyword(s):  
Water Balance ◽  
Water Resource ◽  
Water Depth ◽  
Rainy Season ◽  
Water Reservoir ◽  
Water Shortage ◽  
Regional Government ◽  
Environment Management ◽  
Individual Number ◽  
Rainfall Volume

Embung as a man made water reservoir is one of methods to overcome the water shortage in the border area, Belu District, East Nusa Tenggara Province. A number of 27 embungs were built by Regional Government in this area. Embung water and environment management is the main problem to sustain water resource. The research to inventory and identify of vegetation, to predict erosion, to monitor water balance, and to optimize water utilization were conducted, in 2005-2008. The research was undertaken in Embung Leosama. Methods were survey, observation, monitoring and analysis. Results were: (1). There were 7 species and 90 individual number of tree; (2). Prediction of erosion was 97.383 ton/ha/year; (3). Water depth as indicator of embung water balance was decrease due to a little rainfall volume in rainy season 2006/2007; but it was increase in 2007/2008; (4). Embung water can be optimized for drinking cattle, horticulture, nursery and regreening irrigation.Key Words: embung, erosion, water balance.

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