Dergiler / Mediterranean Agricultural Sciences

Language of the publication of the Mediterranean Agricultural Sciences will only be English starting in December 2021. As of 01 February 2021, only English manuscript submissions will be accepted and evaluated. The Turkish version of the journal is just for navigational purpose. MEDITERRANEAN AGRICULTURAL SCIENCES is a refereed scientific journal published by the Akdeniz University Faculty of Agriculture. The journal aims to share the knowledge at national and international levels by publishing researches in agriculture and life sciences in English languages. The journal primarily publishes original research articles and accepts limited number of invited reviews in the areas of agricultural biotechnology, agricultural economics, agricultural machinery, animal husbandry, bioenergy, biostatistics and genetics, farm structure and irrigation, field crops, food science and technology, horticulture, landscape and nature conservation, natural resources, plant protection, and soil science and plant nutrition.

2022 · Cilt: 35 - Sayı: 1

MakaleYazarSayfa
Effects of iron fertilization on plant growth, yield components and quality traits of industrial tomatoesAhmet TURHAN,Neşe ÖZMEN1–6
Comparison of spinach cultivation in floating hydroponic system and soil in glasshouse and open field conditionsKutluk Bilge BOSTANCI,Salih ÜLGER7–14
Thrips species associated with cereals of the Lakes Region of Turkey with new recordsAsiye UZUN,Ozan DEMİRÖZER,Kambiz MİNAEİ15–19
The analysis of competitiveness of Mediterranean countries in the world citrus tradeSinan DURU,Seyit HAYRAN,Aykut GÜL21–26
The effects of drought, salt and combined stresses on ion exchanges of eggplant (Solanum melongena L.) seedlingsSevinç KIRAN27–31
The effects of different harvest periods to bio-active compounds in wheatElif ÖZDEMİR,Ali TOPAL,İbrahim ÇAKIR33–38
Genotypic structure of four cattle breeds raised in Turkey by loci related to several diseasesFerit KARAYEL,Taki KARSLI39–45
Diagnosing lameness with the Random Forest classification algorithm using thermal cameras and digital colour parametersYasin ALTAY,Rabia ALBAYRAK DELİALİOĞLU47–54