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首页> 外文期刊>Agricultural Systems >Heterogeneity of crop productivity and resource use efficiency within smallholder Kenyan farms: soil fertility gradients or management intensity gradients?
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Heterogeneity of crop productivity and resource use efficiency within smallholder Kenyan farms: soil fertility gradients or management intensity gradients?

机译:肯尼亚小农户农场内作物生产力和资源利用效率的异质性:土壤肥力梯度还是管理强度梯度?

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The decrease in crop yields at increasing distances from the homesteads within smallholder farms of Sub-Saharan Africa (SSA) is normally ascribed to the existence of within-farm soil fertility gradients. Field observations also suggest that a large part of such variability is concomitantly caused by poor agronomy. To understand the interaction between soil fertility (S factors) and management decisions (M factors) affecting crop variability, we combined field research conducted in western Kenya (Vihiga, Kakamega and Teso districts; rainfall: 1600, 1800 and 1200 mm, respectively) with explorations using the simple dynamic crop/soil model for dynamic simulation of nutrient balances, previously tested for the region. Field measurements indicated within-farm differences in average maize grain yields of 48% (2.7 vs. 1.4 t ha-1) in Vihiga and of 60% (1.5 vs. 0.6 t ha-1) in Teso, between fields that were close and far from the homestead, respectively. Extreme values ranged widely, e.g. between 4.9 and 0.3 t ha-1 for all the farms surveyed in Vihiga, where the average farm size was 0.6 ha. Maize grain yields tended to increase with increasing contents of soil C, total N, extractable P and exchangeable bases. However, the negative relationship between S factors and distance from the homestead was not as strong as expected, and yield variability was better explained by multiple regression models considering M factors such as planting date, plant density, resource use and weed infestation (40-60% across sites). Then, we analysed the variation in resource (cash, labour, N) use efficiency within farms of different resource endowments with the aid of the simulation model. N balances at plot scale varied from ca. +20 to -18 kg ha-1, from -9 to -20 kg ha-1 and from -16 to -18 kg ha-1 for the different fields of the high, medium and low resource endowment case-study farms, respectively. Labour productivities ranged between ca. 10 and 38 kg grain man-day-1 across field and farm types. The results indicate the need of considering within farm heterogeneity when designing soil fertility management interventions. Resource use efficiency was strongly affected by soil quality. As farmers invest more effort and resources in the more productive and less risky fields, the interaction between S and M factors leads to farmer-driven resource use efficiency gradients within smallholder farms..
机译:撒哈拉以南非洲(SSA)小农户与家园距离越远,农作物产量的下降通常归因于农场内部土壤肥力梯度的存在。实地观察还表明,这种可变性的很大一部分是由农艺差引起的。为了了解土壤肥力(S因子)和管理决策(M因子)之间影响农作物变异性的相互作用,我们将在肯尼亚西部(Vihiga,Kakamega和Teso地区;降雨量分别为1600、1800和1200 mm)进行的田间研究与使用简单的动态作物/土壤模型对营养物平衡进行动态模拟进行勘探,之前对该区域进行了测试。田间测量表明,在密西西比州和密苏里州之间,维希加和特索的玉米平均单产分别为48%(2.7对1.4 t ha-1)和60%(1.5对0.6 t ha-1)。分别远离家园。极限值范围很广,例如在Vihiga进行的所有农场调查中,平均农场面积为0.6公顷,介于4.9至0.3 t ha-1之间。玉米籽粒产量倾向于随土壤碳,总氮,可提取磷和可交换碱的含量增加而增加。但是,S因子与距宅基地的距离之间的负相关性没有预期的那么强,并且通过考虑M因子(例如播种日期,植物密度,资源利用和杂草侵染)的多元回归模型可以更好地解释产量变异性(40-60跨网站的百分比)。然后,我们借助模拟模型分析了不同资源end赋的农场内资源(现金,劳动力,氮)利用效率的变化。地块比例上的N余额约为ca。高,中和低资源end赋案例研究农场的不同领域分别为+20至-18 kg ha-1,从-9至-20 kg ha-1和从-16至-18 kg ha-1 。劳动生产率介于田间和农场类型的谷物日产量分别为10和38公斤。结果表明,在设计土壤肥力管理干预措施时需要考虑农场异质性。资源利用效率受到土壤质量的强烈影响。随着农民在生产率更高和风险较低的领域投入更多的精力和资源,S和M因子之间的相互作用导致小农户农场主驱动的资源利用效率梯度。

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