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Greater maize yield improvements in low/unstable yield zones through recommended nutrient and water inputs in the main cropping regions, China

机译:通过主要种植地区的推荐营养和水投入,大玉米产量改善低/不稳定屈服区,中国

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Maize (Zea mays L.) is an important cereal crop grown worldwide. With the increase in human food demand but limited land and water resources, precise spatially explicit knowledge about the maize production capacity through agricultural management practices (e.g., using recommended nutrient and water inputs, RNWI, by local agronomists) is essential to guide the future policy, research, development, and investment. Here, we used a well-validated crop model (APSIM-Maize) for 1981-2010 combined with actual climatic and soil data to estimate maize yield improvements under RNWI in three main cropping regions in China (the North China Spring Maize Region, NCS; the Huanghuaihai Summer Maize region, HS; and the Southwest China Mountain Maize Region, SCM). Compared with the county-level maize actual yield in the three main cropping regions, the average maize yield could be increased by 33 % (4 Mg ha(-1)) through RNWI, while the improvements in the coefficients of variation (CVs) of grain yield and reliable grain production (RGP) were 0.11 and 32 % (69 million Mg), respectively. Except for RNWI, the average yield, CVs of yield, and RGP could still be increased by 28 % (3 Mg ha(-1)), 0.10, and 36 % (80 million Mg) through other management and technologies (OMT). Further analysis in four types of yield level-stability zones (high-stable, low-stable, high-unstable, and low-unstable zones) showed that greater contributions of using RNWI and OMT to improve maize grain yield, yield stability, and RGP were found in zones with low/unstable yield across the three regions. The findings highlighted the focus on increasing maize yield in low/unstable-yield zones could provide a greater return.
机译:玉米(Zea Mays L.)是全世界种植的重要谷物作物。随着人类粮食需求的增加,但土地和水资源有限,通过农业管理实践精确地明确了解玉米产能(例如,使用推荐的营养素和水投入,由当地农学学家率)至关重要,研究,开发和投资。在这里,我们使用了一个经过验证的作物模型(APSIM-MAIZE),1981 - 2010年结合了实际的气候和土壤数据,以估算中国三个主要种植地区的RNWI下的玉米产量改善(华北春玉米地区,NCS;黄淮海夏季玉米地区,HS;和中国西南山地玉米地区,SCM)。与县级玉米实际产量相比三个主要种植区,平均玉米产量可以通过RNWI增加33%(4mg HA(-1)),而变异系数(CVS)的改善粮食产量和可靠的谷物生产(RGP)分别为0.11和32%(6900万毫克)。除了RNWI外,通过其他管理和技术(OMT),仍然可以增加28%(3mg HA(-1)),0.10和36%(8000万吨)的平均产量,产量和RGP。进一步分析四种类型的产量水平稳定区(高稳定,低稳态,高不稳定,低不稳定的区域)表明使用RNWI和OMT来提高玉米籽粒产量,产量稳定性和RGP的更大贡献在三个地区的低/不稳定产量的区域中被发现。调查结果强调了对不稳定屈服区中玉米产量的重点可以提供更大的回报。

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