4.5 Article

Saving of water and labor in a rice-wheat system with no-tillage and direct seeding technologies

期刊

AGRONOMY JOURNAL
卷 99, 期 5, 页码 1288-1296

出版社

AMER SOC AGRONOMY
DOI: 10.2134/agronj2006.0227

关键词

-

类别

向作者/读者索取更多资源

Conventional tillage and crop establishment methods such as puddled transplanting in the rice-wheat (Oryza sativa L.-Ttiticum aestivivum L.) system in the Indo-Gangetic Plains (IGP) require a large amount of water and labor, both of which are increasingly becoming scarce and expensive. We attempted to evaluate alternatives that would require smaller amounts of these two inputs. A field experiment was conducted in the IGP for 2 yr to evaluate various tillage and crop establishment systems for their efficiency in labor, water, and energy use and economic profitability. The yields of rice in the conventional puddled transplanting and direct-seeding on puddled or nonpuddled (no-tillage) flat bed systems were equal. Yields of wheat following either the puddled-transplanted or no-tillage direct-seeded rice were also equal. Normally, puddled transplanting required 35 to 40% more irrigation water than no-tillage direct-seeded rice. Compared with conventional puddled transplanting, direct seeding of rice on raised beds had a 13 to 23% savings of irrigation water, but with an associated yield loss of 14 to 25%. Nevertheless, water use efficiency (WUE) in the rice-wheat system was higher with direct-seeded rice (0.45 g L-1) than with transplanted rice (0.37-0.43 g L-1). In Year 1, no-tillage rice-wheat had a higher net return than the conventional system, whereas in Year 2 the net returns were equal. The study showed that the conventional practice of puddled transplanting could be replaced with no-tillage-based crop establishment methods to save water and labor. However, the occurrence and distribution of rainfall during the cropping season had considerable influence on the savings in irrigation water.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.5
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据