Title |
Natural genetic variation for morphological and molecular determinants of plant growth and yield
|
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Published in |
Journal of Experimental Botany, March 2016
|
DOI | 10.1093/jxb/erw124 |
Pubmed ID | |
Authors |
Adriano Nunes-Nesi, Vitor de Laia Nascimento, Franklin Magnum de Oliveira Silva, Agustin Zsögön, Wagner L. Araújo, Ronan Sulpice |
Abstract |
The rates of increase in yield of the main commercial crops have been steadily falling in many areas worldwide. This generates concerns because there is a growing demand for plant biomass due to the increasing population. Plant yield should thus be improved in the context of climate change and decreasing natural resources. It is a major challenge which could be tackled by improving and/or altering light-use efficiency, CO2uptake and fixation, primary metabolism, plant architecture and leaf morphology, and developmental plant processes. In this review, we discuss some of the traits which could lead to yield increase, with a focus on how natural genetic variation could be harnessed. Moreover, we provide insights for advancing our understanding of the molecular aspects governing plant growth and yield, and propose future avenues for improvement of crop yield. We also suggest that knowledge accumulated over the last decade in the field of molecular physiology should be integrated into new ideotypes. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United Kingdom | 2 | 22% |
United States | 1 | 11% |
Unknown | 6 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 56% |
Scientists | 3 | 33% |
Science communicators (journalists, bloggers, editors) | 1 | 11% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Brazil | 1 | <1% |
Unknown | 108 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 23 | 21% |
Researcher | 17 | 16% |
Student > Master | 11 | 10% |
Student > Doctoral Student | 9 | 8% |
Student > Bachelor | 5 | 5% |
Other | 17 | 16% |
Unknown | 27 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 59 | 54% |
Biochemistry, Genetics and Molecular Biology | 8 | 7% |
Nursing and Health Professions | 2 | 2% |
Unspecified | 1 | <1% |
Environmental Science | 1 | <1% |
Other | 5 | 5% |
Unknown | 33 | 30% |