Fruit set and yield of olives were negatively correlated with maximum temperature, minimum temperature, relative humidity, evaporation and soil temperature, but were positively correlated with rainfall and wet days. Four prediction models were computed each for fruit set and yield. The fruit set and yield of olives at location 1 can be accurately predicted in the months of November and December, and December and May, respectively. But at location 2 fruit set and yield can be accurately predicted in the months of January and February.
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West Univ Timisoara, Res Ctr Thermal Anal Environm Problems, Timisoara 300115, Romania
Vasile Goldis West Univ Arad, Fac Med, Dept Pharm, Pharm & Dent Med, Arad 310414, RomaniaWest Univ Timisoara, Res Ctr Thermal Anal Environm Problems, Timisoara 300115, Romania
Albu, Paul
Vlase, Gabriela
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West Univ Timisoara, Res Ctr Thermal Anal Environm Problems, Timisoara 300115, RomaniaWest Univ Timisoara, Res Ctr Thermal Anal Environm Problems, Timisoara 300115, Romania
Vlase, Gabriela
Modra, Dorina
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West Univ Timisoara, Res Ctr Thermal Anal Environm Problems, Timisoara 300115, RomaniaWest Univ Timisoara, Res Ctr Thermal Anal Environm Problems, Timisoara 300115, Romania
Modra, Dorina
Bolcu, Constantin
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West Univ Timisoara, Res Ctr Thermal Anal Environm Problems, Timisoara 300115, RomaniaWest Univ Timisoara, Res Ctr Thermal Anal Environm Problems, Timisoara 300115, Romania