POST-HARVEST FUNGAL DISEASES OF PAWPAW (<i>CARICA PAPAYA</i> L.) FRUITS AND SEEDS IN NIGERIA

Genotypic Regulation of Aflatoxin Accumulation but Not Aspergillus Fungal Growth upon Post-Harvest Infection of Peanut (Arachis hypogaea L.) Seeds

Aflatoxin contamination is a major economic and food safety concern for the peanut industry that largely could be mitigated by genetic resistance. To screen peanut for aflatoxin resistance, ten genotypes were infected with a green fluorescent protein (GFP)-expressing Aspergillus flavus strain. Percentages of fungal infected area and fungal GFP signal intensity were documented by visual ratings ...

Biological control of post-harvest diseases of fruits and vegetables: alternatives to synthetic fungicides

A Review on Studies of Post-harvest Fungicides Diseases of Some Fruits

We are familiar with a number of tests and methods for the fungal disease and their treatment for to control it. We can divide them into two categories on broad scale. One is Physical Treatment and other is Chemical Treatment. The methods which fall in first category are based on the heat and temperature methodology which includes therapy and low temperature management along with radiation too....

Biofumigation on Post-Harvest Diseases of Fruits Using a New Volatile-Producing Fungus of Ceratocystis fimbriata

A variety of volatile organic compounds (VOCs) produced by Ceratocystis fimbriata have strong bioactivity against a wide range of fungi, bacteria and oomycetes. Mycelial growth, conidial production, and spore germination of fungi and oomycetes were significantly inhibited after exposure to cultures of C. fimbriata, and colony formation of bacteria was also inhibited. Two post-harvest diseases, ...

Assessment of Post-harvest Management Information Needs of Yam Farmers in Kogi State, Nigeria

The study assessed the post-harvest management information needs of yam farmers in Kogi State. Interview schedules were used to collect data from 189 yam farmers who were randomly selected from the four agricultural zones of the State (Zone A, B, C and D) by using multistage random sampling techniques. The data collected were subjected to descriptive statistics and binary logit regression. Resu...