SOYBEAN PRODUCTION ZONES

In recent decades, multiple flood events have had a devastating impact on soybean production in Argentina. Recent advances suggest that the frequency and intensity of destructive flood events on the Argentinian Pampas will increase under pressure from climate change. This paper provides bottom-up insight into the flood risk for soybean production systems under climate change and the suitability of adaptation strategies in two of the most flood-prone areas of the Pampas region. The flood risk perceptions of soybean producers were explored through interviews, translated into climatic indicators and then studied using a multi-model climate data analysis. Soybean producers perceived the present flood risk for rural accessibility to be of the highest concern, especially during the harvest and sowing seasons when heavy machinery needs to reach soybean lots. An analysis of climatic change projections found a rising trend in annual and harvest precipitation and a slight drying trend during the sowing season. This indicates that the flood risk for harvest accessibility may increase under climate change. Several adaptation strategies were identified that can systemically address flood risks, but these require collaborative action and cannot be undertaken by individual producers. The results suggest that if cooperative adaptation efforts are not made in the short term, the continued increase in flood risk may force soybean producers in the case study locations to shift away from soybean towards more robust land uses.

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Soil Bacterial Community Diversity and Composition as Affected by Tillage Intensity Treatments in Corn-Soybean Production Systems

Microbiology Research ◽

10.3390/microbiolres12010012 ◽

2021 ◽

Vol 12 (1) ◽

pp. 157-172

Author(s):

Shankar G. Shanmugam ◽

Normie W. Buehring ◽

Jon D. Prevost ◽

William L. Kingery

Keyword(s):

Microbial Community ◽

Bacterial Community ◽

Community Composition ◽

Production System ◽

Soil Microbial Community ◽

Production Systems ◽

Bacterial Community Composition ◽

Soybean Production ◽

Soil Microbial ◽

Soil Bacterial

Our understanding on the effects of tillage intensity on the soil microbial community structure and composition in crop production systems are limited. This study evaluated the soil microbial community composition and diversity under different tillage management systems in an effort to identify management practices that effectively support sustainable agriculture. We report results from a three-year study to determine the effects on changes in soil microbial diversity and composition from four tillage intensity treatments and two residue management treatments in a corn-soybean production system using Illumina high-throughput sequencing of 16S rRNA genes. Soil samples were collected from tillage treatments at locations in the Southern Coastal Plain (Verona, Mississippi, USA) and Southern Mississippi River Alluvium (Stoneville, Mississippi, USA) for soil analysis and bacterial community characterization. Our results indicated that different tillage intensity treatments differentially changed the relative abundances of bacterial phyla. The Mantel test of correlations indicated that differences among bacterial community composition were significantly influenced by tillage regime (rM = 0.39, p ≤ 0.0001). Simpson’s reciprocal diversity index indicated greater bacterial diversity with reduction in tillage intensity for each year and study location. For both study sites, differences in tillage intensity had significant influence on the abundance of Proteobacteria. The shift in the soil bacterial community composition under different tillage systems was strongly correlated to changes in labile carbon pool in the system and how it affected the microbial metabolism. This study indicates that soil management through tillage intensity regime had a profound influence on diversity and composition of soil bacterial communities in a corn-soybean production system.

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Planting Green Effects on Corn and Soybean Production

Agronomy Journal ◽

10.2134/agronj2018.11.0711 ◽

2019 ◽

Vol 111 (5) ◽

pp. 2314-2325 ◽

Cited By ~ 6

Author(s):

Heidi K. Reed ◽

Heather D. Karsten ◽

William S. Curran ◽

John F. Tooker ◽

Sjoerd W. Duiker

Keyword(s):

Soybean Production

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Weed Control with Reduced Rates of Chlorimuron Plus Metribuzin and Imazethapyr in No-Till Narrow-Row Soybean (Glycine max)

Weed Technology ◽

10.1017/s0890037x00042536 ◽

1998 ◽

Vol 12 (1) ◽

pp. 32-36 ◽

Cited By ~ 9

Author(s):

William G. Johnson ◽

Jeffrey S. Dilbeck ◽

Michael S. Defelice ◽

J. Andrew Kendig

Keyword(s):

Glycine Max ◽

Weed Control ◽

Field Studies ◽

Weed Suppression ◽

Crop Response ◽

Soybean Production ◽

No Till ◽

Giant Foxtail ◽

The Difference ◽

Narrow Row

Field studies were conducted at three locations in 1993 and 1994 to evaluate weed control and crop response to combinations of glyphosate, metolachlor, 0.5 X and 1 X label rates of chlorimuron plus metribuzin applied prior to planting (PP), and 0.5 X and 1 X label rates of imazethapyr applied early postemergence (EPOST) or postemergence (POST) in no-till narrow-row soybean production. Giant foxtail densities were reduced with sequential PP followed by (fb) EPOST or POST treatments. Large crabgrass was reduced equivalently with all herbicide combinations involving chlorimuron plus metribuzin PP fb imazethapyr. Common cocklebur control was variable but was usually greater with treatments that included imazethapyr. Ivyleaf morningglory densities were not reduced with any herbicide combinations. Sequential PP fb EPOST or POST treatments tended to provide slightly better weed suppression than PP-only treatments, but the difference was rarely significant. Soybean yields with treatments utilizing 0.5 X rates were usually equal to 1 X rates.

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Determination of competitive abilities of Bradyrhizobium japonicum strains in soils from soybean production regions in South Africa

Biology and Fertility of Soils ◽

10.1007/s003740000303 ◽

2001 ◽

Vol 33 (3) ◽

pp. 181-189 ◽

Cited By ~ 11

Author(s):

J. F. Bloem ◽

I. J. Law

Keyword(s):

South Africa ◽

Bradyrhizobium Japonicum ◽

Soybean Production ◽

Competitive Abilities

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