[HTML][HTML] Modeling high-resolution climate change impacts on wheat and maize in Italy

V Mereu, A Gallo, A Trabucco, G Carboni… - Climate Risk …, 2021 - Elsevier
The Mediterranean basin has been identified as a prominent hotspot of climate change, with
expected negative impacts on crop productivity, among others. Given the primary role that …

Evaluation of gridded meteorological data for crop sensitivity assessment to temperature changes: An application with CERES-Wheat in the Mediterranean basin

KS Liakopoulou, T Mavromatis - Climate, 2023 - mdpi.com
In areas with a limited or non-existent network of observing stations, it is critical to assess the
applicability of gridded datasets. This study examined the agreement of Agri4Cast and E …

Assessing climate risk for cereals and livestock to inform adaptation planning at regional and local scale

V Mereu, JM Costa-Saura, T Antonio… - Journal of Rural Studies, 2024 - Elsevier
Climate change is strongly affecting Mediterranean agriculture, prompting urgent adaptation
actions to cope with its negative impacts and to enhance the resilience of agricultural …

Performance prediction of durum wheat genotypes in response to drought and heat in climate change conditions

M Dettori, C Cesaraccio, P Duce, V Mereu - Genes, 2022 - mdpi.com
With an approach combining crop modelling and biotechnology to assess the performance
of three durum wheat cultivars (Creso, Duilio, Simeto) in a climate change context, weather …

Demonstrating the Use of the Yield-Gap Concept on Crop Model Calibration in Data-Poor Regions: An Application to CERES-Wheat Crop Model in Greece

M Nikou, T Mavromatis - Land, 2023 - mdpi.com
Yield estimations at global or regional spatial scales have been compromised due to poor
crop model calibration. A methodology for estimating the genetic parameters related to grain …

[PDF][PDF] Determination of sowing window for kharif maize in Punjab, India using sensitized, calibrated and validated CERES-Maize model

S Kothiyal, P Kaur, SS Sandhu - Maydica, 2022 - core.ac.uk
Crop models help in optimizing the farming practices under climate change scenarios. The
CERES-Maize was sensitized for genetic coefficients (P1, P2, P5, G2, G3 and PHINT) using …

Estimation of crop genetic coefficients to simulate growth and yield under changing climate

PK Jha, PVV Prasad, A Araya, IA Ciampitti - Global Agricultural Production …, 2023 - Springer
Global climate change has several implications on food security. The task of feeding the
growing human population with limited resources is a challenging mission. With modern …

Evaluating a Cassava Crop Growth Model by Optimizing Genotypic-Specific Parameters Using Multi-environment Trial Breeding Data

PM Okoma, SS Kayondo, IY Rabbi… - bioRxiv, 2024 - biorxiv.org
Abstract Cassava (Manihot esculenta Crantz) is a critical food security crop for sub-Saharan
Africa. Efforts to improve cassava through breeding have expanded over the past decade. At …

Emulator-based optimization of APSIM-Sugar using the results of sensitivity analysis performed with the software GEM-SA

M Gunarathna, K Sakai, MKN Kumari - Frontiers in Sustainable Food …, 2023 - frontiersin.org
In most countries where sugarcane is grown, new sugarcane varieties are frequently
introduced to the market; however, the existing crop models are not frequently updated …

[PDF][PDF] Demonstrating the Use of the Yield-Gap Concept on Crop Model Calibration in Data-Poor Regions: An Application to CERES-Wheat Crop Model in Greece …

M Nikou, T Mavromatis - 2023 - academia.edu
Yield estimations at global or regional spatial scales have been compromised due to poor
crop model calibration. A methodology for estimating the genetic parameters related to grain …