Net Returns from Stale Seedbed Plantings of Soybean (Glycine max) on Clay Soil

Net Returns from Stale Seedbed Plantings of Soybean (Glycine max) on Clay Soil
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在粘土上种植大豆 (Glycine max) 的陈旧苗床的净回报

DOI:
10.1017/s0890037x00038100
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发表时间:
1993
期刊:
影响因子:
1.4
通讯作者:
S. Spurlock
S. Spurlock
中科院分区:
农林科学3区
文献类型:
--
作者:
L. Heatherly;R. Wesley;C. D. Elmore;S. Spurlock

文献摘要

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在连续的两次试验中,每一次都进行了为期三年的田间研究,并进行了分析,以确定腐烂的大豆苗床种植的净收益。第一个试验的处理是5月上旬和5月下旬/6月初在苗床上种植,在收获和种植之间的不同时间进行耕作,加入氟乐灵,或不进行种植前耕作。第二个试验中的处理是灌溉和不灌溉的陈旧或免耕苗床种植和杂草控制处理,包括种植后加上种植前喷施草甘膦(PFA)、除草剂前和除草剂的组合。结果表明:1)在灌溉时,由于使用陈旧苗床而导致的大豆早播将产生更高的净收益,2)使用小麦覆盖作物不能证明费用是合理的,3)在免耕苗床上种植大豆将产生与秋耕、春耕或预备苗床种植相似的净收益,4)在陈旧苗床种植中只使用PFA除草剂加后栽培,其中竞争杂草如苍耳草较晚出现将导致净收益显著降低。前置除草剂与PFA除草剂配合使用,在陈化苗床种植后,可获得最高的净收益和最少的投入。
Field studies were conducted for three years in each of two successive experiments and analyzed to determine net return from stale seedbed plantings of soybean. Treatments in the first experiment were early May and late May/early June plantings in seedbeds that had combinations of tillage at various times between harvest and planting, incorporation of trifluralin, or no preplant tillage. Treatments in the second experiment were irrigated and nonirrigated stale or no-till seedbed plantings with weed control treatments that included POST cultivation plus combinations of preplant foliar-applied (PFA) glyphosate, PRE metribuzin, and POST herbicides. Results indicate that 1) early planting of soybean resulting from use of a stale seedbed will result in higher net returns when irrigation is used, 2) use of a wheat cover crop does not justify the expense, 3) soybean planted in a no-till seedbed will result in net return similar to that from plantings in fall-tilled, spring-tilled, or prepared seedbeds, 4) use of only a PFA herbicide plus POST cultivation in a stale seedbed planting where competitive weeds such as common cocklebur appear later will result in a significant reduction in net returns, and 5) use of PRE herbicides in conjunction with PFA herbicide and POST cultivation in a stale seedbed planting will result in the highest net return with the least input.