Crop management practices in the control of peanut diseases caused by soilborne fungi

Teff is an important crop for smallholder farmers in Ethiopia. Improved crop management practices are needed to increase teff productivity and decrease production costs. Here, we used a split–split plot design to evaluate the impacts of different tillage, sowing, and soil compaction practices, and their combinations, on agronomic performance, weed population, lodging, and cost in teff production at the Aba Gerima watershed in northwestern Ethiopia in 2018–2020. Reduced tillage (RT) improved soil moisture, resulting in increased agronomic performance and decreased production costs compared with conventional tillage (CT); however, the weed population was substantially larger with RT than with CT. Row planting (RP) reduced seed cost and lodging but increased sowing and weeding costs compared with broadcast planting (BP). Plant population and leaf area index were substantially greater with BP than with RP during early-stage growth, but this reversed during late-stage growth. Despite labor costs being significantly greater with (WC) compaction than without (NC), little to no differences were observed in the weed population or in agronomic performance. Partial cost–benefit analysis revealed that RT–RP–WC followed by RT–RP–NC was the most economical treatment combination, suggesting that RT–RP–NC could be a labor-effective means of increasing teff production by smallholder farms in Ethiopia.

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Tillage and Planting Date Effects on Weed Dormancy, Emergence, and Early Growth in Organic Corn

Weed Science ◽

10.1614/ws-d-14-00112.1 ◽

2015 ◽

Vol 63 (2) ◽

pp. 477-490 ◽

Cited By ~ 7

Author(s):

John R. Teasdale ◽

Steven B. Mirsky

Keyword(s):

Cover Crop ◽

Dominant Species ◽

Management Practices ◽

Crop Management ◽

Planting Date ◽

Hairy Vetch ◽

Planting Dates ◽

Weed Biomass ◽

Giant Foxtail ◽

Smooth Pigweed

Insufficient weed control is a major constraint to adoption of reduced-tillage practices for organic grain production. Tillage, cover crop management, and crop planting date are factors that influence emergence periodicity and growth potential of important weed species in these systems. We assessed two hairy vetch cover crop management practices, disk-kill and roll-kill, across a range of corn planting dates from early May to late June in three experiments in Beltsville, MD. Patterns of seed dormancy, emergence, and early weed growth were determined for overseeded populations of common ragweed, giant foxtail, and smooth pigweed, three important species in the Mid-Atlantic states that represent early to late emergence. Common ragweed emergence was lowest and dormancy was highest of the three species across all planting dates. Giant foxtail emergence was higher than the other species in roll-killed hairy vetch and included a significant number of seeds that germinated before rolling operations in late June. Smooth pigweed had the highest emergence and lowest dormancy in disk-killed hairy vetch in June. Individual giant foxtail plant weight was higher in roll-killed than disk-killed hairy vetch in 2 of 3 yr, whereas that of smooth pigweed plants was higher in disk-killed than roll-killed vetch in 2 of 3 yr. Giant foxtail was the dominant species in roll-killed hairy vetch (averaged 79% of total weed biomass at corn silking), probably because of early germination and establishment before rolling operations. Smooth pigweed was the dominant species in disk-killed hairy vetch at June planting dates (averaged 77% of total weed biomass), probably because of high growth rates under warm conditions in tilled soil. This research demonstrated that cover crop management practices and the timing of planting operations can shift the dominant species of weed communities in organic farming systems and must be considered in long-term weed management planning.

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Crop management practices for grain sorghum: an overview

Achieving sustainable cultivation of sorghum Volume 1 - Burleigh Dodds Series in Agricultural Science ◽

10.19103/as.2017.0015.13 ◽

2018 ◽

pp. 285-302 ◽

Cited By ~ 1

Author(s):

M. Djanaguiraman ◽

◽

P. V. V. Prasad ◽

I. A. Ciampitti ◽

◽

...

Keyword(s):

Management Practices ◽

Crop Management ◽

Grain Sorghum

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Crop management: principles and practices.

10.1079/9781789245950.0004 ◽

2021 ◽

pp. 89-123

Author(s):

Dennis B. Egli

Keyword(s):

Crop Yield ◽

Management Practices ◽

Seed Quality ◽

Production Systems ◽

Crop Management ◽

Planting Date ◽

Growth And Yield ◽

Management Options ◽

Physiological Processes ◽

Variety Selection

Abstract This chapter discusses planting-seed quality, variety selection, plant population, planting date and row spacing. The goal of crop management is to create the perfect environment for the growth of the crop, where the perfect environment is characterized by the absence of stress or other factors that reduce crop growth and yield. This goal may be impossible or uneconomical to achieve, but that does not detract from its usefulness as a goal. The management practices discussed in this chapter are fundamental components of grain production systems that contribute to reaching the goal of the perfect environment. There are many management options available to an individual producer; selecting the best combination is not always easy and it may be constrained by factors outside the realm of the physiological processes controlling crop yield.

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Conservation Agriculture: Next-Generation, Climate Resilient Crop Management Practices for Food Security and Environmental Health

10.1007/978-981-16-0827-8_28 ◽

2021 ◽

pp. 585-609

Author(s):

Akbar Hossain ◽

Khondoker Abdul Mottaleb ◽

Sagar Maitra ◽

Biplab Mitra ◽

Sharif Ahmed ◽

...

Keyword(s):

Food Security ◽

Environmental Health ◽

Management Practices ◽

Crop Management ◽

Conservation Agriculture ◽

Next Generation

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Cover Crop Management Practices Rather Than Composition of Cover Crop Mixtures Affect Bacterial Communities in No-Till Agroecosystems

Frontiers in Microbiology ◽

10.3389/fmicb.2019.01618 ◽

2019 ◽

Vol 10 ◽

Cited By ~ 10

Author(s):

Sana Romdhane ◽

Aymé Spor ◽

Hugues Busset ◽

Laurent Falchetto ◽

Juliette Martin ◽

...

Keyword(s):

Bacterial Communities ◽

Cover Crop ◽

Management Practices ◽

Crop Management ◽

No Till

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The Value of Sentinel-2 Spectral Bands for the Assessment of Winter Wheat Growth and Development

Remote Sensing ◽

10.3390/rs11172050 ◽

2019 ◽

Vol 11 (17) ◽

pp. 2050 ◽

Cited By ~ 8

Author(s):

Andrew Revill ◽

Anna Florence ◽

Alasdair MacArthur ◽

Stephen Hoad ◽

Robert Rees ◽

...

Keyword(s):

Winter Wheat ◽

Chlorophyll Content ◽

Management Practices ◽

Near Infrared ◽

Spectral Characteristics ◽

Crop Management ◽

Area Index ◽

Spectral Bands ◽

The Mean ◽

Sentinel 2

Leaf Area Index (LAI) and chlorophyll content are strongly related to plant development and productivity. Spatial and temporal estimates of these variables are essential for efficient and precise crop management. The availability of open-access data from the European Space Agency’s (ESA) Sentinel-2 satellite—delivering global coverage with an average 5-day revisit frequency at a spatial resolution of up to 10 metres—could provide estimates of these variables at unprecedented (i.e., sub-field) resolution. Using synthetic data, past research has demonstrated the potential of Sentinel-2 for estimating crop variables. Nonetheless, research involving a robust analysis of the Sentinel-2 bands for supporting agricultural applications is limited. We evaluated the potential of Sentinel-2 data for retrieving winter wheat LAI, leaf chlorophyll content (LCC) and canopy chlorophyll content (CCC). In coordination with destructive and non-destructive ground measurements, we acquired multispectral data from an Unmanned Aerial Vehicle (UAV)-mounted sensor measuring key Sentinel-2 spectral bands (443 to 865 nm). We applied Gaussian processes regression (GPR) machine learning to determine the most informative Sentinel-2 bands for retrieving each of the variables. We further evaluated the GPR model performance when propagating observation uncertainty. When applying the best-performing GPR models without propagating uncertainty, the retrievals had a high agreement with ground measurements—the mean R2 and normalised root-mean-square error (NRMSE) were 0.89 and 8.8%, respectively. When propagating uncertainty, the mean R2 and NRMSE were 0.82 and 11.9%, respectively. When accounting for measurement uncertainty in the estimation of LAI and CCC, the number of most informative Sentinel-2 bands was reduced from four to only two—the red-edge (705 nm) and near-infrared (865 nm) bands. This research demonstrates the value of the Sentinel-2 spectral characteristics for retrieving critical variables that can support more sustainable crop management practices.

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Assessing the impact of climate change on crop management in winter wheat – a case study for Eastern Austria

The Journal of Agricultural Science ◽

10.1017/s0021859616000083 ◽

2016 ◽

Vol 154 (7) ◽

pp. 1153-1170 ◽

Cited By ~ 3

Author(s):

E. EBRAHIMI ◽

A. M. MANSCHADI ◽

R. W. NEUGSCHWANDTNER ◽

J EITZINGER ◽

S. THALER ◽

...

Keyword(s):

Climate Change ◽

Management Practices ◽

Crop Management ◽

Weather Data ◽

Climate Change Scenarios ◽

Management Scenarios ◽

Global Circulation Models ◽

Daily Weather Data ◽

Eastern Austria ◽

The Impact

SUMMARYClimate change is expected to affect optimum agricultural management practices for autumn-sown wheat, especially those related to sowing date and nitrogen (N) fertilization. To assess the direction and quantity of these changes for an important production region in eastern Austria, the agricultural production systems simulator was parameterized, evaluated and subsequently used to predict yield production and grain protein content under current and future conditions. Besides a baseline climate (BL, 1981–2010), climate change scenarios for the period 2035–65 were derived from three Global Circulation Models (GCMs), namely CGMR, IPCM4 and MPEH5, with two emission scenarios, A1B and B1. Crop management scenarios included a combination of three sowing dates (20 September, 20 October, 20 November) with four N fertilizer application rates (60, 120, 160, 200 kg/ha). Each management scenario was run for 100 years of stochastically generated daily weather data. The model satisfactorily simulated productivity as well as water and N use of autumn- and spring-sown wheat crops grown under different N supply levels in the 2010/11 and 2011/12 experimental seasons. Simulated wheat yields under climate change scenarios varied substantially among the three GCMs. While wheat yields for the CGMR model increased slightly above the BL scenario, under IPCM4 projections they were reduced by 29 and 32% with low or high emissions, respectively. Wheat protein appears to increase with highest increments in the climate scenarios causing the largest reductions in grain yield (IPCM4 and MPEH-A1B). Under future climatic conditions, maximum wheat yields were predicted for early sowing (September 20) with 160 kg N/ha applied at earlier dates than the current practice.

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