{"title":"埃塞俄比亚热带水果采前和采后损失的估计","authors":"Muluken Bantayehu, Melkamu Alemayehu, Mirkuz Abera, Solomon Bizuayehu","doi":"10.1504/ijpti.2019.10025307","DOIUrl":null,"url":null,"abstract":"The research was conducted to quantify and identify major factors of fruit loss. Questionnaires were used to collect data from 180 randomly selected fruit producers of six districts. Descriptive statistics and multiple regression analysis were employed for data analysis. Result revealed that fruit losses in the preharvest and postharvest were 20.7% and 22.1% of the total production respectively. Multiple regression analysis depicted means of income, use of pesticides and use of compost and manure had significantly contributed to losses in the preharvest. Regression analysis revealed experience, educational level of producers and shortage of labour had significant effect for losses during harvesting whereas chemical treatment and educational level affected losses in storage. Moreover, experience, distance from market, educational level were significant factors of fruit loss during marketing. Therefore, the study suggests adoption of scientific approach, education, skill developments and use of pre and postharvest technologies are important to minimise losses.","PeriodicalId":14399,"journal":{"name":"International Journal of Postharvest Technology and Innovation","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Estimation of pre and postharvest losses of tropical fruits in Ethiopia\",\"authors\":\"Muluken Bantayehu, Melkamu Alemayehu, Mirkuz Abera, Solomon Bizuayehu\",\"doi\":\"10.1504/ijpti.2019.10025307\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The research was conducted to quantify and identify major factors of fruit loss. Questionnaires were used to collect data from 180 randomly selected fruit producers of six districts. Descriptive statistics and multiple regression analysis were employed for data analysis. Result revealed that fruit losses in the preharvest and postharvest were 20.7% and 22.1% of the total production respectively. Multiple regression analysis depicted means of income, use of pesticides and use of compost and manure had significantly contributed to losses in the preharvest. Regression analysis revealed experience, educational level of producers and shortage of labour had significant effect for losses during harvesting whereas chemical treatment and educational level affected losses in storage. Moreover, experience, distance from market, educational level were significant factors of fruit loss during marketing. Therefore, the study suggests adoption of scientific approach, education, skill developments and use of pre and postharvest technologies are important to minimise losses.\",\"PeriodicalId\":14399,\"journal\":{\"name\":\"International Journal of Postharvest Technology and Innovation\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-12-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Postharvest Technology and Innovation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1504/ijpti.2019.10025307\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Agricultural and Biological Sciences\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Postharvest Technology and Innovation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/ijpti.2019.10025307","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Agricultural and Biological Sciences","Score":null,"Total":0}
Estimation of pre and postharvest losses of tropical fruits in Ethiopia
The research was conducted to quantify and identify major factors of fruit loss. Questionnaires were used to collect data from 180 randomly selected fruit producers of six districts. Descriptive statistics and multiple regression analysis were employed for data analysis. Result revealed that fruit losses in the preharvest and postharvest were 20.7% and 22.1% of the total production respectively. Multiple regression analysis depicted means of income, use of pesticides and use of compost and manure had significantly contributed to losses in the preharvest. Regression analysis revealed experience, educational level of producers and shortage of labour had significant effect for losses during harvesting whereas chemical treatment and educational level affected losses in storage. Moreover, experience, distance from market, educational level were significant factors of fruit loss during marketing. Therefore, the study suggests adoption of scientific approach, education, skill developments and use of pre and postharvest technologies are important to minimise losses.
期刊介绍:
Technology is an increasingly crucial input in the industrialisation and development of nations and communities, particularly in the current era of globalisation, trade liberalisation and emphasis on competitiveness. The shared technologies and innovations of today are giving birth to the radically different agrifood industries and communities of tomorrow. There is mounting evidence that investments in postharvest research and infrastructure yield high rates of return that are comparable and often higher than investments in on-farm production alone.