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Decomposing maize yield gaps differentiates entry points for intensification in the rainfed mid-hills of Nepal

机译:分解玉米单产差距可以区分尼泊尔雨养中丘陵集约化的切入点

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摘要

The central mid-hills region of Nepal is characterized by rainfed production systems where maize (Zea mays) is the principal crop during the monsoon (kharif) season. In general, maize yields in the hills are judged to be intractably low and few efforts have systematically assessed either the water-limited productivity potential or identified sensible entry points toward sustainable intensification that can be selectively matched to the needs and constraints faced by different types of farmers. This study combines field surveys, on-farm field experiments, and simulation modeling (DSSAT) to explore opportunities for closing maize yield gaps in these ecologies. Among surveyed households, the mean grain yield of maize under current farmer practice was 2.0 t ha(-1) whereas good agronomic practices increased maize yields up to 6.5 t ha(-1) (i.e. exploitable yield gap of 4.5 t ha(-1)). Recognizing that farmers rarely adopt full technology packages, the value of single agronomic interventions was also explored with all other management factors maintained as per prevailing farmer practice. Averaged across sites and two seasons, non-limiting fertilizer rates (175:60:60 kg NPK ha(-1)) increased grain yields by 1.8 t ha(-1) followed by the use of hybrids (1.4 t ha(-1)), higher plant population (0.9 t ha(-1)), and improved weed control (0.9 t ha(-1)). These results were also reflected in changes to the economic performance of the system with gross margins increasing from a 'farmer practice' base of $202 ha(-1) (B:C= 1.86) to $339 ha(-1) (B:C= 2.14) with hybrid adoption, $454 ha(-1) (B:C = 2.88) with higher plant population, $646 ha(-1) (B:C= 2.52) with nonlimiting fertilizer, and $611 ha(-1) (B:C =3.37) with careful weed control. Further gains in profitability were achieved with layered agronomic interventions, which increased gross margins to $857 and $763 ha(-1) (B:C = 2.95 in both) in conventional tillage (CT) and minimum (strip tillage; ST) systems, respectively. Divergence between grain yield gains and economic performance criteria highlights the importance of considering both perspectives. For resource-poor households, maintaining optimal plant population can increase B:C by more than 50% with small investments ($7 ha(-1)). Simulation results also suggest that additional potential productivity advantages are achievable with timely planting (e.g. 19% higher mean yield for short duration hybrid with less inter-annual variability). Cultivation of longer duration hybrids can also increase yield potential over their shorter duration alternatives, although trade-offs with yield potential of the second crop in the rotation must be considered. These results highlight several pathways toward intensification in the bills of Nepal that have varying investment requirements, inferred risks, and implications for the different dimensions of sustainability and food security. (C) 2015 Elsevier B.V. All rights reserved.
机译:尼泊尔中部中部丘陵地区的特点是雨养生产系统,其中玉米(Zea mays)是季风(kharif)季节的主要作物。通常,人们认为丘陵地区的玉米单产非常低,很少有系统地评估水资源有限的生产潜力或确定可持续集约化的明智切入点,这些切入点可以有选择地适应不同类型作物面临的需求和制约因素。农民。这项研究结合了田间调查,农场田间试验和模拟模型(DSSAT),以探索在这些生态环境中缩小玉米单产差距的机会。在接受调查的家庭中,按照当前农民的耕作方式,玉米平均单产为2.0 t ha(-1),而良好的农艺习惯将玉米单产提高至6.5 t ha(-1)(即可利用的产量差距为4.5 t ha(-1) ))。认识到农民很少采用完整的技术方案,因此还探讨了单一农艺学干预措施的价值,并根据农民的现行做法维持了所有其他管理因素。在不同地点和两个季节平均水平,非限制性肥料用量(175:60:60 kg NPK ha(-1))使谷物产量增加1.8 t ha(-1),随后使用杂种(1.4 t ha(-1) )),更高的植物种群(0.9 t ha(-1))和更好的杂草控制(0.9 t ha(-1))。这些结果还反映在系统经济绩效的变化中,毛利率从“农民实践”基础的$ 202 ha(-1)(B:C = 1.86)增加到$ 339 ha(-1)(B:C) = 2.14)(采用杂种方式),$ 454 ha(-1)(B:C = 2.88)和更高的植物种群,$ 646 ha(-1)(B:C = 2.52)和非限制性肥料以及$ 611 ha(-1)( B:C = 3.37),并仔细控制杂草。分层农艺干预措施进一步提高了获利能力,在常规耕作(CT)和最小耕作(条带耕作)系统中,毛利率分别提高至857美元和763 ha(-1)(两者中B:C = 2.95)(毛利率)。 。粮食单产的增长与经济绩效标准之间的差异突出了考虑这两种观点的重要性。对于资源贫乏的家庭,维持最佳的植物种群可以通过少量投资($ 7 ha(-1))将B:C增加50%以上。模拟结果还表明,适时播种可实现额外的潜在生产力优势(例如,短时杂种的年均可变性较低的短期杂交平均产量提高19%)。虽然必须考虑在轮作中第二种作物的产量潜力之间进行权衡,但较长时期杂交品种的耕种也可以增加其较短时期替代品种的单产潜力。这些结果凸显了尼泊尔法案中集约化的几种途径,这些途径具有不同的投资要求,推断的风险以及对可持续性和粮食安全的不同方面的影响。 (C)2015 Elsevier B.V.保留所有权利。

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