1. KAUTIR (Kerala Agricultural University Theses Information and Retrieval)
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Item Phenology and yield of strawberry (Fragaria X ananassa Duch.) under varied weather conditions(Department of Agricultural Meteorology, College of Agriculture, Vellanikkara, 2025-02-04) Ajaykumar, V C.Strawberry (Fragaria × ananassa Duch.), a widely consumed fruit of the Rosaceae family, is an octoploid hybrid (2n=8x=56) derived from Fragaria chiloensis and Fragaria virginiana. Renowned for its adaptability to diverse climatic conditions, the crop thrives across temperate to tropical regions. This study aimed to investigate the phenology of the strawberry variety 'Winter Dawn' under varying weather conditions and analyze the crop weather relationship to predict yield using statistical and artificial intelligence techniques. Experiments were conducted at the Regional Agricultural Research Station, Ambalavayal, employing a randomized block design (RBD) in open-field conditions and a completely randomized design (CRD) in polyhouse conditions. Five planting dates (1st September, 15th September, 30th September, 15th October and 30th October) were evaluated in the open field, while a single planting date (30th September) was tested under two polyhouse conditions. The study revealed that planting time significantly influenced the yield and quality of strawberries, with optimal weather conditions enhancing vegetative growth and fruit development. Phenological observations indicated six distinct stages: inflorescence emergence, first flower opening, fruit set, full flowering, fruit development, and fruit ripening. September 30th planting recorded superior growth parameters, including plant height, spread, number of leaves and crown number, and achieved the highest yield across both open field and polyhouse conditions. Among polyhouse treatments, the Indian polyhouse demonstrated superior performance in terms of growth and yield compared to the Dutch polyhouse, attributed to its higher light intensity and lower humidity levels, which promoted photosynthesis and nutrient assimilation. Weather parameters critically influenced phenophases and yield. Correlation analysis indicated negative impacts of higher temperatures and suboptimal humidity during later growth stages, while increased bright sunshine hours and reduced minimum temperatures during early phenophases positively influenced vegetative and reproductive development. In polyhouses, the Dutch polyhouse's higher humidity and lower light intensity curtailed growth and yield compared to the Indian polyhouse. For yield prediction, Random Forest emerged as the most effective model among machine learning techniques evaluated, including AdaBoost, Gradient Boosting, and Stacking. Feature importance analysis underscored the pivotal role of weather variables in determining yield across phenophases. This study highlights the importance of optimizing planting time and microclimatic conditions to enhance productivity and highlights the potential of machine learning models for accurate yield forecasting, thereby aiding informed agricultural decision-making.Item Phenology and yield of strawberry (Fragaria X ananassa Duch.) under varied weather conditions(Department of Agricultural Meteorology, College of Agriculture , Vellanikkara, 2025-02-04) Ajaykumar, V C; Shajeesh Jan, PStrawberry (Fragaria × ananassa Duch.), a widely consumed fruit of the Rosaceae family, is an octoploid hybrid (2n=8x=56) derived from Fragaria chiloensis and Fragaria virginiana. Renowned for its adaptability to diverse climatic conditions, the crop thrives across temperate to tropical regions. This study aimed to investigate the phenology of the strawberry variety 'Winter Dawn' under varying weather conditions and analyze the crop weather relationship to predict yield using statistical and artificial intelligence techniques. Experiments were conducted at the Regional Agricultural Research Station, Ambalavayal, employing a randomized block design (RBD) in open-field conditions and a completely randomized design (CRD) in polyhouse conditions. Five planting dates (1st September, 15th September, 30th September, 15th October and 30th October) were evaluated in the open field, while a single planting date (30th September) was tested under two polyhouse conditions. The study revealed that planting time significantly influenced the yield and quality of strawberries, with optimal weather conditions enhancing vegetative growth and fruit development. Phenological observations indicated six distinct stages: inflorescence emergence, first flower opening, fruit set, full flowering, fruit development, and fruit ripening. September 30th planting recorded superior growth parameters, including plant height, spread, number of leaves and crown number, and achieved the highest yield across both open field and polyhouse conditions. Among polyhouse treatments, the Indian polyhouse demonstrated superior performance in terms of growth and yield compared to the Dutch polyhouse, attributed to its higher light intensity and lower humidity levels, which promoted photosynthesis and nutrient assimilation. Weather parameters critically influenced phenophases and yield. Correlation analysis indicated negative impacts of higher temperatures and suboptimal humidity during later growth stages, while increased bright sunshine hours and reduced minimum temperatures during early phenophases positively influenced vegetative and reproductive development. In polyhouses, the Dutch polyhouse's higher humidity and lower light intensity curtailed growth and yield compared to the Indian polyhouse. For yield prediction, Random Forest emerged as the most effective model among machine learning techniques evaluated, including AdaBoost, Gradient Boosting, and Stacking. Feature importance analysis underscored the pivotal role of weather variables in determining yield across phenophases. This study highlights the importance of optimizing planting time and microclimatic conditions to enhance productivity and highlights the potential of machine learning models for accurate yield forecasting, thereby aiding informed agricultural decision-making .Item Production dynamics of strawberry (Fragaria x ananassa Duch.) in Kerala(Department of Fruit Science, College of Agriculture, 2020) Anu Kurian; Ajith Kumar, KItem Nutrient management in strawberry (Fragaria x ananassa Duch.)(Department of Fruit Science, College of Horticulture Vellanikkara, 2017) Arjun Mohan, P; Ajith Kumar, KThe experiment entitled “Nutrient management in strawberry (Fragaria x ananassa Duch.)” was undertaken at Regional Agricultural Research Station, Ambalavayal, Wayanad during the year 2016-17. Performance of strawberry variety Winter Dawn was evaluated under nine treatments and a control in the open field viz., FYM 10 t ha-1 + NPK 50:20:50 kg ha-1 (T1); FYM 10 t ha-1 + NPK 75:30:75 kg ha-1 (T2 ); FYM 10 t ha-1 + NPK 100:40:100 kg ha-1 (T3); FYM 20 t ha-1 + NPK 50:30:100 kg ha-1 (T4); FYM 20 t ha-1 + NPK 75:40:50 kg ha-1 (T5); FYM 20 t ha-1 + NPK 100:20:75 kg ha-1 (T6); FYM 30 t ha-1 + NPK 50:40:75 kg ha-1 (T7); FYM 30 t ha-1 + NPK 75:20:100 kg ha-1 (T8); FYM 30 t ha-1 + NPK 100:30:50 kg ha-1 (T9) and an absolute control (T10), without any nutrient application. All the treatments were on par and superior over the control (T10) in case of plant height. In case of plant spread, T2, T3, T5, T6, T7, T8 and T9 were on par and superior over the control while T1 and T4 were on par with each other but differs with other treatments. All the treatments except T2 were on par and superior over the control with respect to number of leaves per plant. Application of treatments had no significant effect on days to first flowering. In case of number of flowers and clusters per plant, T1, T2, T3, T5, T6, T7, T8 and T9 were on par and superior over the control while T4 was on par with the control (T10). Days to first harvest was minimum in T6, T7, T8 and T9 which were on par while all other treatments were on par with the control (T10).In case of number of fruits and yield per plant, T7 (FYM 30 t ha-1 + NPK 50:40:75 kg ha-1) and T8 (FYM 30 t ha-1 + NPK 75:20:100 kg ha-1) were on par and superior over other treatments including T1, T2, T3, T4, T5, T6 and T9 which were on par and superior over the control. Average fruit weight recorded under T3, T5, T6, T7, T8 and T9 were on par which was followed by T2 on par with T4 and T1. Days to final harvest was not found to be influenced by the application of different treatments. Biochemical characters of fruits viz., TSS, acidity and TSS/acidity ratio were not having any significant effect due to the application of treatments. In case of total sugars, T3, T7, T8 and T9 were having the highest content and were on par which was followed by T5 on par with T1, T2, T4, T6 and T10. The overall sensory score was highest in T7 followed by T8. Application of different treatments had no significant effect on the shelf life of strawberry fruits. N, P, K and Ca content in the plant were not significantly affected by any treatment while Mg content was found to be on par in all treatments and superior over the control. Soil analysis after the harvest of the crop revealed that the values for soil EC, available P, K, Mg and S were found to be elevated while soil pH, organic carbon and available Ca content were found to be at lower levels than the initial values before planting. It was concluded that among different nutrient combinations evaluated, T7 (FYM 30 t ha-1 + NPK 50:40:75 kg ha-1) with a BC ratio of 3.06 can be recommended for further optimization and refinement.Item Evaluation of promising strawberry (Fragaria x ananassa Duch.) varieties for Wayanad(Department of Fruit Science, College of Horticulture Vellanikkara, 2017) Muhammed Aslam; Ajith Kumar, K