The following box summarizes all the combinations utilized to generate crop yield estimates.
Community efforts to generate crop genome sequences were expected to enable researchers to quickly clone genes to answer biologically relevant and agriculturally pertinent questions.
If a particular gene is found to be elevated by multiple stresses with prolonged duration of stress exposure, it can be well presumed that the gene can be employed in genetic engineering program to generate crop plants showing broad spectrum resistance, rather than resistance to a particular stress only.
A number of studies in recent years have described the potential usefulness of ectopically expressing antioxidant enzymes –or positive regulators of these enzymes– to generate crop lines tolerant to adverse abiotic conditions such as low or high temperatures, drought or salinity [ 24- 28].
As more and more new developed GM crops including new plant breeding technology (NPBT) generated crops are in the pipeline for commercialization, alternative -omics approaches, particularly next generation sequencing, have been developed for molecular characterization of authorized or unauthorized GM (UGM) crops.
Thus, whereas TOC component knockout mutations such as ppi1 are unlikely to find stress-related applications in agriculture, SP1 overexpression may be an effective strategy in generating crops better able to cope with abiotic stresses linked to climate change, soil salinification, and other anthropogenic effects [ 7, 25].
The soybean TF-ORFeome provides a valuable public resource for functional genomics studies, especially in the area of plant abiotic stresses, and will facilitate accelerating the findings in the area of abiotic stresses and in generating crops with enhanced resistance to multiple stresses.
The Production Enterprise Generator (PEG) is a version of ROTAT (Dogliotti and others 2003) that generates crop rotations based on best agronomic practices formalised in crop and rotation suitability criteria, for example the maximum frequency of specific crops in a rotation to avoid the build up of soil born diseases.
Here, we present a software tool called rotat, designed for generating crop rotations based on agronomic criteria in a transparent manner.
Recently, approaches to producing industrial enzymes for the degradation of lignocellulosic biomass have focused on generating crop varieties that self-produce and store degrading enzymes.
