Leaf gas exchange and yield of three upland rice cultivars
Author:
Affiliation:
1. Universidade Federal do Mato Grosso do Sul, Brasil
2. Universidade Estadual Paulista, Brasil
3. UNESP, Brasil
Publisher
FapUNIFESP (SciELO)
Subject
General Agricultural and Biological Sciences,Materials Science (miscellaneous)
Link
http://www.scielo.br/pdf/brag/v74n1/0006-8705-brag-74-1-1.pdf
Reference30 articles.
1. Growth analysis and yield of traditional, intermediate and modern upland rice cultivars;Alvarez R. C. F.;Pesquisa Agropecuária Tropical,2012
2. Gas exchange rates, plant height, yield components, and productivity of upland rice as affected by plant regulators;Alvarez R. C. F.;Pesquisa Agropecuaria Brasileira,2012
3. Photosynthetic characteristics of hybrid and conventional rice plants as a function of plant competition;Concenço G. I.;Planta daninha,2011
4. IRRI’s upland rice research - follow-up review to the 6th IRRI External Program Management Review,2006
5. Morphological and physiological changes among rice varieties used in the Philippines over the last seventy years;Evans L. T.;Field Crops Research,1984
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