Assessing the Climate Change Impacts on Maize Production in the Slovak Republic and Their Relevance to Sustainability: A Case Study DOI Open Access
Viktória Benďáková, Henrietta Nagy, Natália Turčeková

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(13), P. 5573 - 5573

Published: June 29, 2024

Climate change poses a significant challenge to the agricultural sector, with far-reaching implications on global scale. As agriculture sector plays critical role in economy of Slovak Republic, it is crucial understand impacts climate and, it, vulnerabilities that practices face. Agricultural production and food sustainability are intricately linked various factors, including population growth effects change. This paper focuses analyzing maize Slovakia identifying factors driving its cultivation. We aim assess how influence yields across different temperature precipitation levels through comprehensive data analysis statistical methods. By utilizing stochastic function proposed by Just Pope (1979) for 1996 2022 estimating model parameters using GRETL software, we provide insights into relationship between production. Furthermore, explore our findings Slovakia. Our reveals impact yield varies month exhibits nonlinear nature, changes generally exerting negative influence. Understanding these dynamics developing sustainable strategies can mitigate adverse ensure long-term security.

Language: Английский

Advancements in Leaf Area Index Estimation for Maize Using Modeling and Remote Sensing Techniques: A Review DOI Creative Commons
Károly Bakó, Csaba Rácz, Tamás Dövényi-Nagy

et al.

Agronomy, Journal Year: 2025, Volume and Issue: 15(3), P. 519 - 519

Published: Feb. 21, 2025

Maize is an important crop used as food, feed, and industrial raw material. Therefore, it critical to maximize maize yield on available land by using optimal inputs adapting challenges posed climate change. The Leaf Area Index (LAI) a key parameter that provides significant assistance in forecasting yields. This study focuses modeling the for maize. Specifically, compiles systematizes main findings of papers published over past approximately 10–15 years. Our results are organized presented based five most commonly models: CERES-Maize, AquaCrop, WOFOST, APSIM, RZWQM2. limitations these models’ applicability also discussed. We present models compare their minimum input requirements. Additionally, we evaluate performance across different zones, explore how integration remote sensing data sources can enhance model estimation accuracy, examine potential spatial scalability LAI modeling.

Language: Английский

Citations

0
An Integrated Approach to Analyze the Progress of Developing Economies in Asia toward the Sustainable Development Goals DOI Open Access
Awais Mahmood, Ahsan Farooq,

Haseeb Akbar

et al.

Sustainability, Journal Year: 2023, Volume and Issue: 15(18), P. 13645 - 13645

Published: Sept. 12, 2023

This study endeavored to analyze the progress made meet Sustainable Development Goals in terms of resource use, sustainable production and consumption, triple planetary crisis (i.e., climate change, biodiversity loss, pollutant emissions) at national regional levels Asia. The highlighted that toward consumption is still not sufficient ambitious targets. An urgent need for a comprehensive approach address emissions, use has been ascertained. China’s greenhouse gas emissions have surged tremendously. India also endeavoring decouple from growth via renewable energy. Vulnerable Pakistan seeks emission reduction financial aid. Indonesia, Thailand, Vietnam outline strategies. Land change emerges as key loss driver, stressing land policies conservation. Material highlights call optimization, circular economies, innovative technology. Energy’s role development requires decoupling through efficiency, renewables, eco-friendly paths. Freshwater needs careful management sustainability, international collaboration policy reform are urged global water efficiency. Decoupling trends between growth, environmental impact show complex pattern, with feasibility absolute limited by interdependence.

Language: Английский

Citations

10
The level of adoption of multiple climate change adaptation strategies: Evidence from smallholder maize farmers in Southwest Nigeria DOI Creative Commons

O.A. Adeagbo,

A.S. Bamire,

Adebayo A. Akinola

et al.

Scientific African, Journal Year: 2023, Volume and Issue: 22, P. e01971 - e01971

Published: Nov. 1, 2023

Climate is one of the most important factors in agricultural productivity, which could directly or indirectly influence productivity since climate linked to physiological processes. This study investigates level adoption multiple change adaptation strategies (CCAS) Southwest Nigeria. A multistage sampling technique was employed select 330 smallholder maize farmers, while secondary data on rainfall and temperature area sourced from Nigerian Meteorological Agency (NiMet). Descriptive statistics, a multivariate probit model fractional response were for study. The results show that farmers adopt mainly complementary strategies. also indicate farmer's membership an association, sex, age, education, farming experience, farm size, access credit information are main influencing CCAS result shows socio-economic institutional significantly influenced among area. Hence, recommends provision advisory service facility be intensified.

Language: Английский

Citations

10
Stripe rust resistance gene Yr15 in Turkish and Kazakhstan wheat germplasms and the potential of Turkish wild emmer for stripe rust breeding DOI
Faheem Shehzad Baloch, Amjad Ali, Daniyar Tajibayev

et al.

Genetic Resources and Crop Evolution, Journal Year: 2023, Volume and Issue: 71(6), P. 2699 - 2719

Published: Nov. 24, 2023

Language: Английский

Citations

10
Assessing the Climate Change Impacts on Maize Production in the Slovak Republic and Their Relevance to Sustainability: A Case Study DOI Open Access
Viktória Benďáková, Henrietta Nagy, Natália Turčeková

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(13), P. 5573 - 5573

Published: June 29, 2024

Climate change poses a significant challenge to the agricultural sector, with far-reaching implications on global scale. As agriculture sector plays critical role in economy of Slovak Republic, it is crucial understand impacts climate and, it, vulnerabilities that practices face. Agricultural production and food sustainability are intricately linked various factors, including population growth effects change. This paper focuses analyzing maize Slovakia identifying factors driving its cultivation. We aim assess how influence yields across different temperature precipitation levels through comprehensive data analysis statistical methods. By utilizing stochastic function proposed by Just Pope (1979) for 1996 2022 estimating model parameters using GRETL software, we provide insights into relationship between production. Furthermore, explore our findings Slovakia. Our reveals impact yield varies month exhibits nonlinear nature, changes generally exerting negative influence. Understanding these dynamics developing sustainable strategies can mitigate adverse ensure long-term security.

Language: Английский

Citations

3