In this study, a face-to-face survey was conducted with 196 forage crops producers in Erzincan, Erzurum and Bayburt provinces in order to determine the problems and expectations of forage crop producers who benefit from forage crops supports. Descriptive statistical methods and binary logistic regression model were used to analyze the data examined in terms of demographic variables, agricultural characteristics and characteristics related to farm structures. Farmers who benefit from forage crop support are on average 46 years old and 30.6% are high school graduates. 55.1% of the farms carry out plant and animal production together. It was determined that 35.2% of the farmers had non-agricultural income and 17.3% had social security. The average land size of the enterprises is 92 decares. Alfalfa (212,960 da) is grown the most as a forage crop in farms. There are an average of 10 BB and 14 sheep per farm. 60% of the producers state that they are not satisfied with the support, 22.4% state that they grow forage crops for the support, and approximately 59% state that they have to or want to continue forage crops farming despite being dissatisfied. Their satisfaction with the support; Insufficiency of pasture land (5%), high productivity of forage crops (1%), to be livestock farming in farms (1%), low cost of production of forage crops (10%) and sufficient support amount (5%) affect the factors. Factors affecting the tendency to continue forage crops agriculture are; high level of education (5%), lack of migration tendency (1%), lack of alternative products (5%), insufficient pasture areas (1%), lack of experience factors.
Forage crops agricultural supports satisfaction binary regression sustainability
Birincil Dil | İngilizce |
---|---|
Konular | Agronomi |
Bölüm | Research Articles |
Yazarlar | |
Yayımlanma Tarihi | 1 Temmuz 2024 |
Gönderilme Tarihi | 15 Mart 2024 |
Kabul Tarihi | 30 Nisan 2024 |
Yayımlandığı Sayı | Yıl 2024 Cilt: 5 Sayı: 1 |
Turkish Journal of Range and Forage Science is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.