Photoperiod sensitivity of very early maturing Sri Lankan rice for flowering time and plant architecture

Author:

Padukkage Duwini,Senanayake Gamini,Geekiyanage Sudarshanee

Abstract

AbstractUnavailability of information on photoperiod sensitivity of traditional rice is a disadvantage in breeding rice for adaptation to changing climatic conditions and for optimum plant architecture. This experiment was conducted to address the above problem through determination of variation in days to flowering (DF) and morphological traits of twenty eight selected very early maturing Sri Lankan traditional rice accessions under three photoperiod conditions: short day (SD), day neutral (DN) and long day (LD). Although rice is considered to be a facultative short day plant, 12 accessions (2088, 2979, 4615, 3970, 4245, 2091, 3450, 3883, 4217, 6741, 3738 and 3677) flowered significantly late under SD over LD, while accession 4223 flowered significantly late under DN. Fifteen accessions (3943, 4042, 4734, 3693, 4513, 3845, 4390, 4144, 4220, 4223, 4237, 4387, Bg 300, At 308 and Bg 379-2) flowered significantly early under SD over LD. Four accessions (3457, 3884, 6305 and 4358) were non-responsive to photoperiod for flowering time. Plant height significantly increased only in accession 4217 under SD. Higher plant height under DN was obtained from At 308 and accession 3883. Photoperiod did not affect plant height in accession 4237 and Bg 379-2. LD only or both LD and DN conditions produced significantly higher plant height irrespective of photoperiod responsiveness for DF in rest 26 accessions. Variation in response to photoperiod for DF and plant architecture in very early maturing Sri Lankan rice indicates the potential diversity of genetic factors for photoperiod response for future use in rice breeding.

Publisher

Walter de Gruyter GmbH

Subject

General Agricultural and Biological Sciences

Reference2 articles.

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2. English content htm retrieved on nd February Genetics and breeding of rice Longmans and Co Ltd Street London Organization of the United Nations online GIES - Global information and early warning system;Chandraratna;Food Agriculture,2016

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