Enhanced early growth rates in high cumulative temperature requirement maize (Zea mays L.) varieties drive superior production potential in rainfed North China Plain

Journal of Agriculture and Food Research, Journal Year: 2025, Volume and Issue: unknown, P. 102044 - 102044

Published: May 1, 2025

Language: Английский

Fostering adaptation to climate change among farmers in Pakistan: the influential role of farmers’ climate change knowledge and adaptive capacity

Frontiers in Sustainable Food Systems, Journal Year: 2024, Volume and Issue: 8

Published: Oct. 3, 2024

Introduction Adaptation to climate change (ACC) is imperative avoid deleterious consequences of in agriculture. However, the uptake adaptation measures has been slow among farmers because low adaptive capacity (AC) developing countries, particularly Pakistan. Farmers and their supporting institutions have successful introducing technological innovations respond adapt environmental challenges. The present study intended determine impact farming technologies, along with human, financial, social, physical, natural, information resources that support AC hence ACC. Methods collected data from 360 Punjab through a multi-stage random sampling technique. A binary logit model odds ratio were used identify factors affecting also utilized correlation tests show between each pair variables included analysis. Results results indicated physical capital such as ownership tube wells, transportation, sowing harvesting tools by builds farmers’ consequently determines ACC crop variety (CCV), type (CCT), planting date (CPD), soil conservation (SC), water (WC), diversification strategies (DSs). findings revealed human (age, education, family size, labor), financial (off-farm employment, access marketing produce, agricultural credit), social (farmers-to-farmers extensions, extension services, farm association membership), natural (land ownership, tenancy status, location farm) importantly related households’ strategies. (likelihood) higher for users technology compared non-users. Discussion analysis conducted this showed amplify change: allows be much more efficient, while knowledge (CCK) self-motivates adopt measures. Our provide evidence suggests need credits technologies speed up long run, short should spread communities.

Language: Английский

Modeling the Effects of Sowing Dates on Maize in Different Environments in the Tropical Area of Southwest China Using DSSAT

Agronomy, Journal Year: 2024, Volume and Issue: 14(12), P. 2819 - 2819

Published: Nov. 27, 2024

Maize yield is affected by meteorological conditions and cultivation management. Sowing date adjustment one of the most commonly used management methods for achieving a high maize in tropical area Southwest China. This study conducted field experiments involving five cultivars with different sowing dates Yunnan Province from 2012 to 2015. The parameters CERES model decision support systems agrotechnology transfer (DSSAT) were calibrated, its adaptability was validated. applied simulate analyze growing period over 12 years (2012–2023) results show that DSSAT-Maize demonstrates good southwestern region predictions flowering, maturity, compared measured values, yielding R2 values 0.62, 0.64, 0.92, d-index 0.86, 0.87, 0.97, normalized root-mean-square errors (nRMSEs) 4.53%, 2.92%, 6.37%, respectively. verified assess effects on yield. between 15 May 29 resulted relatively higher yields lower coefficients variation. whole season shortened 1.13 days, decreased 3% every 7 days ahead before early May. A delayed planting after June had positive effect yields, an average increase 4% per delay. significantly positively correlated rainfall during vegetative solar radiation reproductive period; meanwhile, it negatively maximum temperature period. concluded influenced maize’s growth Delaying can help achieve mainly because leads insufficient period, while ensures adequate total radiation.

Language: Английский