Ontology type: schema:Chapter
2018
AUTHORSKazuo Nakashima , Norihito Kanamori , Yukari Nagatoshi , Yasunari Fujita , Hironori Takasaki , Kaoru Urano , Junro Mogami , Junya Mizoi , Liliane Marcia Mertz-Henning , Norman Neumaier , Jose Renato Bouças Farias , Renata Fuganti-Pagliarini , Silvana Regina Rockenbach Marin , Kazuo Shinozaki , Kazuko Yamaguchi-Shinozaki , Alexandre Lima Nepomuceno
ABSTRACTBrazil is the second largest soybean-producing country, but yields have recently been unstable because of droughts. The objective of this project was to develop drought-tolerant soybean lines based on information from earlier molecular studies involving model plants. We also searched the soybean genome for genes conferring drought tolerance and elucidated the mechanisms regulating the identified genes. Based on our findings, we generated new soybean lines, which were then evaluated under greenhouse and field conditions to identify the most drought-tolerant lines. We analyzed the functions of drought tolerance genes in Arabidopsis thaliana and identified soybean genes exhibiting similar properties. We also comprehensively investigated soybean gene expression levels in stressed plants. Additionally, we determined the best combinations of drought tolerance genes and promoters and introduced these combinations into soybean cells using biolistic and Agrobacterium tumefaciens-based methods. We evaluated the stress tolerance of the resulting transgenic plants in a greenhouse and in the field and observed that some transgenic soybean lines exhibited increased drought tolerance. We developed a new technique for generating genetically modified soybean lines that are more tolerant to environmental stresses such as drought. These lines may be useful for mitigating the effects of climate changes. The developed technique and generated transgenic soybean lines may help stabilize or increase soybean production in Brazil. More... »
PAGES111-130
Crop Production under Stressful Conditions
ISBN
978-981-10-7307-6
978-981-10-7308-3
http://scigraph.springernature.com/pub.10.1007/978-981-10-7308-3_7
DOIhttp://dx.doi.org/10.1007/978-981-10-7308-3_7
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curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-981-10-7308-3_7'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-981-10-7308-3_7'
This table displays all metadata directly associated to this object as RDF triples.
302 TRIPLES
23 PREDICATES
59 URIs
20 LITERALS
8 BLANK NODES