Optimizing fertilization and crop management for triticale in the Lăpuș depression, Romania
Optimizing fertilization and crop management for triticale in the Lăpuș depression, Romania
I. Cionca, A. D. Costin, T. Rusu
Abstract. Triticale is an important cereal crop in mountainous and hilly areas of Romania, where soil and climatic conditions can limit the yields of traditional cereals. This paper presents an experimental study on the optimization of fertilization and crop management for triticale in the Lăpuș depression. Different fertilization schemes (mineral, organic and combined) are tested in combination with various technological options, in order to identify the most effective practices for the local agroecological context. Results show that integrated fertilization, adjusted to soil supply and climatic conditions, leads to significant improvements in yield, grain quality and economic efficiency, while supporting sustainable land use in the region.
Keywords: triticale; fertilization; crop management; Lăpuș depression; sustainable agriculture
📋 Cite this publication
I. Cionca, A. D. Costin, T. Rusu, "Optimizing fertilization and crop management for triticale in the Lăpuș depression, Romania", AgroLife Scientific Journal, vol. 14, no. 2, 2024, 2023. DOI: https://doi.org/10.17930/AGL202426.
Reference: AgroLife Scientific Journal, vol. 14, no. 2, 2024. DOI: 10.17930/AGL202426
Using Machine Learning for Identifying the Intrinsic Economic Specializations of Localities
Using Machine Learning for Identifying the Intrinsic Economic Specializations of LocalitiesOliviu...
Embedding GIS in crop field bonitation computation
Embedding GIS in crop field bonitation computationBogdan Văduva, Oliviu Matei, Anca Avram, Laura...
A comparative study of machine learning models for plant disease identification
A comparative study of machine learning models for plant disease identificationMăcelaru Mara,...
A Novel CNN Approach for Accurate Tomato Disease Classification
A Novel CNN Approach for Accurate Tomato Disease ClassificationOvidiu Cosma, Laura Cosma Abstract....
Design of a collaborative network for mapping digital skills for Industry 5.0
Design of a collaborative network for mapping digital skills for Industry 5.0Maria Gustavsson,...
Solving the clustered minimum routing tree problem using Prüfer-coding based hybrid genetic algorithms
Solving the clustered minimum routing tree problem using Prüfer-coding based hybrid genetic...
Augmenting API Security Testing with Automated LLM-Driven Test Generation
Augmenting API Security Testing with Automated LLM-Driven Test GenerationEmil Marian Pasca, Rudolf...
Data Quality Assessment Methodology
Data Quality Assessment MethodologyDaniela Delinschi, Rudolf Erdei, Emil Pasca, Oliviu Matei...
Privacy Assessment Methodology for Machine Learning Models and Data Sources
Privacy Assessment Methodology for Machine Learning Models and Data SourcesRudolf Erdei, Emil...
Aggregation Strategy for Federated Machine Learning Algorithm
Aggregation Strategy for Federated Machine Learning AlgorithmRudolf Erdei, Daniela Delinschi,...
Using Markov chains for determining the proximity contagion of smart specialization of localities
Using Markov chains for determining the proximity contagion of smart specialization of...
Advancements in Machine Learning Algorithms for Precision Crop Yield Prediction: A Comprehensive Review with focus on European Union
Advancements in Machine Learning Algorithms for Precision Crop Yield Prediction: A Comprehensive...
0 Comments