Showing 3 results for bazgeer
Leyla Sharifi, Saeed Bazgeer, Hosain Mohmmadi, Alireza Darbaneh Astaneh, Mostafa Karimi Ahmadabad,
Volume 20, Issue 57 (6-2020)
Abstract
In an agricultural system, crop production is related to climatic conditions. Therefore, a deeper understanding of the impact of regional climate change on production ensures global food security. Wheat is one of the most strategic crops and examining different aspects of its production is a necessity of every agricultural community. According to studies, wheat production is affected by various variables including environmental, individual and social, economic and technological. The aim of this study was to estimate the effect of these variables on changes in wheat production in different climates of Fars province. The required data were collected and analyzed through multi-stage random stratified sampling and 522 completed questionnaires through face-to-face interviews with farmers in the province. Farmers' attitudes were measured in the Likert scale and Cobb Douglas, Transcendental and Translog production functions were used to estimate the effect of variables. Results of comparing effective variables in three Cobb-Douglas, Transcendental and Translog functions; demonstrates the superiority of translog. From the perspective of the farmers of the province in the translog function, respectively; Soil moisture at planting time (0.692), effective rainfall during growing season (0.68) and at planting date (0.66), heat wave at harvest time (0.63), damaging rainfall (0.59) , Profit from wheat production (0.51), farmer education (0.49), soil quality (0.49) and cultivation method (0.49) with the coefficient of the mentioned criteria next to them; The most important factors explaining wheat production in Fars province. Independent variables in the translog function explain 92% of the changes in wheat production in Fars province.
Yousof Parsamehr, Hosien Mohammadi, Faramarz Khoshakhlagh, Saied Bazgeer,
Volume 22, Issue 64 (3-2022)
Abstract
In this study, in order to study the base temperature (minimum temperature for plant growth) at the degree of growth day (GDD), which is one of the important parameters in calculating the degree of growth day, first, the data required for the 2009-2017 statistical period of wheat production at the station Sararood was taken from the station. Then, after sorting and separating growth different stages, using four methods of calculating the base temperature (1 - minimum standard deviation SDgdd day, 2 - minimum standard deviation SDAY days, 3 - regression coefficient per day CRday, 4 - CV coefficient of variation) was the most suitable method for calculating the base temperature of growth in different stages of planting to wheat harvesting. The results showed that the most suitable method is the minimum standard deviation in GDD, which The base temperature was obtained from germination to full reach for different growth stages, 5/8, 0/38, 1/8, 2/6, 0/63, 2, 3/7, 9/7, 8/6, 11 degrees Celsius. By comparing different methods of calculating GDD, the most appropriate of method was the general method of calculating the degree of growth day due to the most of similarity to the station data. The degree of growth day in different stages was calculated based on their base temperature and the results showed that the calculation of the base temperature at each stage of the growth of the wheat was very accurate for GDD calculation and a precise estimate of GDD was obtained.
Leyla Sharifi, Saeed Bazgeer, Hosain Mohmmadi, Alireza Darbaneh Astaneh, Mostafa Karimi,
Volume 24, Issue 72 (3-2024)
Abstract
Awareness and understanding of the climate trends by farmers and the attitude towards the necessity of this awareness is one of the essential capacities in agricultural societies. Farmerschr('39') attitudes to climate information are affected by their behavior with the climate hazards and uncertainties and influence their decision on adopting appropriate strategies to minimize the damages caused by climate changes on agriculture and improve their readiness. Hence, the aim of the present study was to establish a comprehensive framework and model for the qualitative evaluation of studies discussing the factors that affect farmerschr('39') attitudes to climate information utilization with a systematic review approach. For this purpose, the following keywords, including climate, climate change, climate changes, meteorological information, global warming, drought, flood, chilling, frost, climate hazard, precipitation, temperature with the aid of the following keywords namely, farmer, farmerchr('39')s attitude, farmerchr('39')s perception, farmerchr('39')s knowledge, and indigenous knowledge were used in both languages, Persian and English, among the articles published between the year of 2000 and 2019. After three stages of screening 788 related articles and according to approved criteria, 25 scientific and research articles were selected and explored. After qualitatively evaluating these articles, a model with five bio-environmental, individual, social, economic & technological factors as well as 19 dimensions has been proposed to evaluate the factors affecting farmerschr('39') attitude towards using climate information. Finally, to apply the results of this study, a unified conceptual model is presented that can be the strength of the existing frameworks in making the national agricultural policy.
