气候变化领域集成服务门户(CCPortal): Optimizing genotype−environment−management interactions to ensure silage maize production in the Chinese maize belt

CCPortal

DOI	10.3354/CR01599
	Optimizing genotype−environment−management interactions to ensure silage maize production in the Chinese maize belt
	Zhang L.; Zhang Z.; Cao J.; Luo Y.; Li Z.
发表日期	2020
ISSN	0936-577X
起始页码	133
结束页码	146
卷号	80 期号:2
英文摘要	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. © Inter-Research 2020.
英文关键词	CERES-Maize; Chinese Maize Belt; Frost risk; G−E−M interactions; Silage quality
语种	英语
scopus关键词	biomass; calibration; crop production; cultivar; genotype; genotype-environment interaction; growth and development; maize; optimization; phenology; silage; soil fertility; sowing; China; North China Plain; Zea mays
来源期刊	Climate Research
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/146893
作者单位	State Key Laboratory of Earth Surface Processes and Resource Ecology, MoE Key Laboratory of Environmental Change and Natural Hazards, Faculty of Geographical Science, Beijing Normal University, Beijing, 100875, China
推荐引用方式 GB/T 7714	Zhang L.,Zhang Z.,Cao J.,et al. Optimizing genotype−environment−management interactions to ensure silage maize production in the Chinese maize belt[J],2020,80(2).
APA	Zhang L.,Zhang Z.,Cao J.,Luo Y.,&Li Z..(2020).Optimizing genotype−environment−management interactions to ensure silage maize production in the Chinese maize belt.Climate Research,80(2).
MLA	Zhang L.,et al."Optimizing genotype−environment−management interactions to ensure silage maize production in the Chinese maize belt".Climate Research 80.2(2020).