Microorganisms in plant growth and development: Roles in abiotic stress tolerance and secondary metabolites secretion

NA Koza, AA Adedayo, OO Babalola, AP Kappo - Microorganisms, 2022 - mdpi.com
Crops aimed at feeding an exponentially growing population are often exposed to a variety
of harsh environmental factors. Although plants have evolved ways of adjusting their …

Impact of climate change on dryland agricultural systems: a review of current status, potentials, and further work need

M Ahmed, R Hayat, M Ahmad, M Ul-Hassan… - International Journal of …, 2022 - Springer
Dryland agricultural system is under threat due to climate extremes and unsustainable
management. Understanding of climate change impact is important to design adaptation …

Model-based design of crop diversification through new field arrangements in spatially heterogeneous landscapes. A review

IM Hernández-Ochoa, T Gaiser, KC Kersebaum… - Agronomy for …, 2022 - Springer
Intensive agriculture in Germany is not only highly productive but has also led to detrimental
effects in the environment. Crop diversification together with new field arrangements …

[HTML][HTML] Big data, small explanatory and predictive power: Lessons from random forest modeling of on-farm yield variability and implications for data-driven agronomy

JV Silva, J van Heerwaarden, P Reidsma… - Field Crops …, 2023 - Elsevier
Context Collection and analysis of large volumes of on-farm production data are widely seen
as key to understanding yield variability among farmers and improving resource-use …

The role of inter-specific competition for water in maize-legume intercropping systems in northern Tanzania

E Mugi-Ngenga, L Bastiaans, NPR Anten, S Zingore… - Agricultural …, 2023 - Elsevier
CONTEXT Maize-legume intercropping is common in sub-Saharan Africa. Effects of
legumes on the companion maize crop are determined principally by choice of legume …

[HTML][HTML] Mixing process-based and data-driven approaches in yield prediction

B Maestrini, G Mimić, PAJ van Oort, K Jindo… - European Journal of …, 2022 - Elsevier
Yield prediction models can be divided between data-driven and process-based models
(crop growth models). The first category contains many different types of models with …

Predicting rice phenology across China by integrating crop phenology model and machine learning

J Zhang, X Lin, C Jiang, X Hu, B Liu, L Liu… - Science of The Total …, 2024 - Elsevier
This study explores the integration of crop phenology models and machine learning
approaches for predicting rice phenology across China, to gain a deeper understanding of …

Evaluating the effect of climate change on rice production in Indonesia using multimodelling approach

A Ansari, A Pranesti, M Telaumbanua, T Alam… - Heliyon, 2023 - cell.com
Achieving global food security in the face of climate change is a critical challenge,
particularly in vulnerable countries like Indonesia. To effectively address this challenge, a …

Revisiting yield gaps and the scope for sustainable intensification for irrigated lowland rice in Southeast Asia

JV Silva, VO Pede, AM Radanielson, W Kodama… - Agricultural …, 2022 - Elsevier
CONTEXT Recent studies on yield gap analysis for rice in Southeast Asia revealed different
levels of intensification across the main 'rice bowls' in the region. Identifying the key crop …

Changes in Climate Extremes and Their Effect on Maize (Zea mays L.) Suitability Over Southern Africa

A Chemura, SS Nangombe, S Gleixner… - Frontiers in …, 2022 - frontiersin.org
Southern Africa has been identified as one of the hotspot areas of climate extremes
increasing, at the same time many communities in the region are dependent on rain-fed …