Zeolite and Inorganic Nitrogen Fertilization Effects on Performance, Lint Yield, and Fiber Quality of Cotton Cultivated in the Mediterranean Region

Crops, Journal Year: 2025, Volume and Issue: 5(3), P. 27 - 27

Published: May 3, 2025

The continuous provision of nitrogen (N) to the crop is critical for optimal cotton production; however, constant and excessive application synthetic fertilizers causes adverse impacts on soil, plants, animals, human health. current study focused short-term effects (one-year study) adding different rates clinoptilolite zeolite, as part an integrated nutrient management plan, inorganic N fertilizer improve soil performance in three locations (ATH, MES, KAR) Greece. Each experiment was set up according a split-plot design with replications, main plots (zeolite at 0, 5, 7.5 t ha−1), four sub-plots (N fertilization regimes 100, 150, 200 kg ha−1). results this indicated that increasing examined factors increased yields (seed yield, lint percentage), greatest yield recorded under highest zeolite (7.5 ha−1: 1808, 1723, 1847 ha−1 ATH, KAR, respectively) (200 1804, 1768, 1911 respectively). From evaluated parameters, most parameters (soil organic matter, total nitrogen, porosity), root shoot development (root length density, plant height, leaf area index, dry weight), fiber maturity traits (micronaire, maturity, strength, elongation), (upper half mean length, uniformity short index), well color (reflectance spinning consistency index) trash (trash grade), were positively impacted by factors. In conclusion, present research suggest ha−1, respectively, improved properties (except weight diameter), stimulated development, enhanced grown clay-loam soils Mediterranean region.

Language: Английский

Modeling the Process of Crop Yield Management in Hydroagro-Landscape Saline Soils

Sustainability, Journal Year: 2025, Volume and Issue: 17(9), P. 4214 - 4214

Published: May 7, 2025

To study the impact of soil salinity type and degree in irrigated lands on process crop yield formation, multiparametric single-parameter mathematical models were used. The methodological basis was materialist theory scientific knowledge (analysis synthesis) laws ecology, using graph-analytical methods based artificial intelligence applied software product Microsoft Office. create database, an empirical method generalizing research results used to effect agricultural crops various natural climatic zones Central Asia for period from 1932 2020. Based plotting graphs dependence relative dimensionless (relative) value degree, data, following obtained: first, differential equations describing studied derived; second, within framework a very high determination index confirming strong correlation between function arguments yield, system exponential, logarithmic, polynomial obtained Office, which enables management yields saline soils; third, it creates prerequisites design ecologically sustainable agro-landscapes.

Language: Английский