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Drought, pod yield, pre-harvest Aspergillus infection and aflatoxin contamination on peanut in Niger

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TLDR
It is confirmed that infection and aflatoxin concentration in peanut can be related to the occurrence of soil moisture stress during pod-filling when soil temperatures are near optimal for A. flavus.
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This article is published in Field Crops Research.The article was published on 2006-07-01 and is currently open access. It has received 86 citations till now. The article focuses on the topics: Aflatoxin & Moisture stress.

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Citations
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Journal ArticleDOI

Peanuts as functional food: a review

TL;DR: In the present paper an overview on peanut bioactive constituents and their health benefits are presented.
Journal ArticleDOI

Review on pre- and post-harvest management of peanuts to minimize aflatoxin contamination

TL;DR: This review summarizes the advance in reducing the impact of aflatoxins in different countries where peanuts are cultivated and proposes a single strategy to solve this problem.
Journal ArticleDOI

Biotechnological advances for combating Aspergillus flavus and aflatoxin contamination in crops

TL;DR: While appropriate storage practices can generally minimize post-harvest aflatoxin contamination in crops, the use of biotechnology to interrupt the probability of pre-Harvest infection and contamination has the potential to provide sustainable solution.
Journal ArticleDOI

Efficacy of ozone as a fungicidal and detoxifying agent of aflatoxins in peanuts.

TL;DR: It was concluded that ozone is an important alternative for peanut detoxification because it is effective in controlling potentially aflatoxigenic fungi and also acts in the reduction of aflatoxin levels in kernels.
References
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Book

Genstat 5 Reference Manual

R. W. Payne
TL;DR: Part 1 Introduction, terminology and syntax: Genstat programs characters items lists expressions and formulae statements how to compact programs conventions for examples in later chapters.
BookDOI

Understanding options for agricultural production.

TL;DR: In this paper, the use of a Crop Simulation Model for Planning Wheat Irrigation in Zimbabwe J.T. Bowen, W.J. Boote, and W.W. Wilkens.
Book ChapterDOI

The CROPGRO model for grain legumes

TL;DR: The CROPGRO model as mentioned in this paper is a generic crop model based on the SOYGRO, PNUTGRO and BEANGRO models, which computes canopy photosynthesis at hourly time steps using leaflevel photosynthesis parameters and hedge-row light interception calculations.
Journal ArticleDOI

Determinants of aflatoxin exposure in young children from Benin and Togo, West Africa: the critical role of weaning

TL;DR: Exposure to this common toxic contaminant of West African food increases markedly following weaning and exposure early in life is associated with reduced growth, reinforcing the need for aflatoxin exposure intervention strategies within high-risk countries.
Journal ArticleDOI

Design and optimisation of a large-area process-based model for annual crops

TL;DR: In this article, a new process-based crop model, the general large area model (GLAM) for annual crops, is presented, which is designed to operate on spatial scales commensurate with those of global and regional climate models.
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Frequently Asked Questions (14)
Q1. What are the contributions in "Drought, pod yield, pre-harvest aspergillus infection and aflatoxin contamination on peanut in niger" ?

The objectives of their field research in Niger, West Africa, were to: ( i ) examine the effects of sowing date and irrigation treatments on pod yield, infection with A. flavus and aflatoxin concentration ; and ( ii ) to quantify relations between infection, aflatoxin concentration and soil moisture stress. This field study confirms that infection and aflatoxin concentration in peanut can be related to the occurrence of soil moisture stress during pod-filling when soil temperatures are near optimal for A. flavus. 

Shorter periods of drought (<20 days), and drought early or late in the season, also result in lower concentrations of aflatoxin (and see Azaizeh et al., 1989). 

Infection and contamination can be predicted in peanuts using the fraction of extractable soil water when soil temperatures are not limiting aflatoxin contamination. 

Peanut is an important crop in Niger, even though growing seasons are short and variable, and drought and high soil temperatures are common (Ntare and Williams, 1998). 

Plant stands were generally<10 m2 and in some cases as low as 2.4 plants m 2. Clearly drought, and probably nematodes (Sharma et al., 1992; Waliyar et al., 1992) had a substantial effect on stand establishment. 

Aflatoxins are toxic, carcinogenic, teratogenic and immunosuppressive substances (Turner et al., 2000; Wild and Hall, 2000; Hall and Wild, 2003) produced when toxigenic strains of the fungi Aspergillus flavus Link. ex Fries and A. parasiticus Speare grow on peanuts and many other agricultural commodities. 

Many crop simulation models use FESW (or fraction of transpirable soil water, fraction of available soil water) as there is a consistency in plant responses across a wide of conditions (Sinclair et al., 1987) and as such FESW is a useful physiological (stress) index. 

To determine aflatoxin concentration from each dilution (1:15, 1:75 and 1:375), 50 ml of diluted extracts were placed in duplicates into the wells. 

Pod yields across all treatments in this study were variable (mean 306 kg ha 1, RMSD 244 kg ha 1) and in a number of years pod yields were higher in rainfed than irrigated plots, with pod yield at S1 in 1992 anomalously high. 

Mean daily air and soil temperature during pod-filling averaged 28–30 and 31–35 8C, respectively, generally increasing towards the end of the season as rainfall declined (Fig. 1). 

In conclusion, this study has shown that infection and contamination occurred in the field in Niger even when stress periods were short. 

In the experiments reported here infection was widespread and aflatoxin was found at concentrations >30 mg kg 1 at all treatments in 1992–1994 when average FESW in the last 25 days of podfilling was between 0.09 and 0.67 and average soil temperatures (at the nearly meteorological station) were between 31 and 35 8C. 

Pod yield data was fairly variable, and original replicate data was re-checked to confirm values, resulting in missing values being substituted for observed values in four plots. 

The model predicted phenology and yields of the whole data set reasonably well (Fig. 2; r2 = 0.67, P < 0.001, n = 40), with a root mean square deviation (RMSD) of 244 kg ha 1.