The first paradigm of plant breeding involves direct selection-based phenotypic observation,
followed by predictive breeding using statistical models for quantitative traits constructed …

Global climate changes cause extreme temperatures and a significant reduction in crop
production, leading to food insecurity worldwide. Temperature extremes (including both heat …

Artificial Intelligence (AI) is believed to have a significant potential use in tackling climate
change. This paper explores the connections between AI and climate change research as a …

Computing is a critical driving force in the development of human civilization. In recent years,
we have witnessed the emergence of intelligent computing, a new computing paradigm that …

Abiotic stresses are the primary sources of crop losses globally. The identification of key
mechanisms deployed and established by plants in response to abiotic stresses is …

Classical univariate and multivariate statistics are the most common methods used for data
analysis in plant breeding and biotechnology studies. Evaluation of genetic diversity …

Climate change is a threat to global food security due to the reduction of crop productivity
around the globe. Food security is a matter of concern for stakeholders and policymakers as …

The semiarid lands of Northeast Brazil represent one of the most densely populated regions
of the country. Rainfall variability together with land degradation and large‐scale poverty in …

In the face of a growing global population, plant breeding is being used as a sustainable tool
for increasing food security. A wide range of high-throughput omics technologies have been …

Climate-smart agriculture (CSA) has become popular as a practical solution for food
insecurity in the face of climate change. This paper aims to review the challenges and …