Common wheat provides approximately 20% of the total dietary calorie intake of human
beings. Recent technological advances in whole‐genome sequencing and their application …

The adverse effects of mounting environmental challenges, including extreme temperatures,
threaten the global food supply due to their impact on plant growth and productivity …

The crop variety yield prediction is widely used to select new varieties and select suitable
planting areas for them, but it still suffers from multiple grand challenges, including sparse …

In this work, we introduce an innovative Markov Chain Monte Carlo (MCMC) classifier, a
synergistic combination of Bayesian machine learning and Apache Spark, highlighting the …

A number of consequences of climate change, notably salinity, put global food security at
risk by impacting the development and production of lentils. Salinity-induced stress alters …

Crop yield prediction gains growing importance for all stakeholders in agriculture. Since the
growth and development of crops are fully connected with many weather factors, it is …

Purpose More accurate prediction of phenotype traits can increase the success of genomic
selection in both plant and animal breeding studies and provide more reliable disease risk …

The expression of quantitative traits of a line of a crop depends on its genetics, the
environment where it is sown and the interaction between the genetic information and the …

Current practice in agriculture applies genomic prediction to assist crop breeding in the
analysis of genetic marker data. Genomic selection methods typically use linear mixed …

ABSTRACT Currently, approximately 4.5 billion people in developing countries consider
bread wheat (Triticum aestivum L.) as a staple food crop, as it is a key source of daily …