2017
DOI: 10.18517/ijaseit.7.6.2955
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Screening and Identification of Upland Rice Lines Derived Recurrent Selection for Drought Tolerance

Abstract: Variety assemblings for higher yield capacity of upland rice which tolerant to drought stress and highly adaptable to climate change has been needed to support the effort to increase both rice yield and the upland rice field extensification. This research aims to screen and identify an agronomic character of upland rice lines as the result of recurrent selection to a seedling stage on the drought stress. Materials were 180 rice lines as the result of recurrent selections from two local varieties Sriwijaya and … Show more

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Cited by 11 publications
(12 citation statements)
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“…The highest length of panicle derived from Sriwijaya/N-148 elders, namely 25 cm -34.34 cm. The panicle length observed was better compared to the results of the study Herawati et al (2017b) which produces panicles in the F3 generation from Bugis/IR-7858-1 and Sriwijaya/IR-7858-1 elders on average 22.4 cm and 21.9 cm.…”
Section: Agro-morphological Characterscontrasting
confidence: 61%
See 3 more Smart Citations
“…The highest length of panicle derived from Sriwijaya/N-148 elders, namely 25 cm -34.34 cm. The panicle length observed was better compared to the results of the study Herawati et al (2017b) which produces panicles in the F3 generation from Bugis/IR-7858-1 and Sriwijaya/IR-7858-1 elders on average 22.4 cm and 21.9 cm.…”
Section: Agro-morphological Characterscontrasting
confidence: 61%
“…The highest average number of tillers derived from Sriwijaya/N-148 crosses, which is 14.08 and the lowest number of tillers is from Bugis/N-148 crosses, 10.50 (Table 2). Variable productive tillers also showed better growth compared to previous studies conducted by Herawati et al (2017b) in the F3 generation which produces the highest productive is 9.3 tillers.…”
Section: Agro-morphological Charactersmentioning
confidence: 42%
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“…Similarly, watershed integration rather than separate watersheds was more accurate in predicting potential drought distribution and improving water supply needs as a part of irrigation practices [31]. Agronomists and planters can also use the drought distribution information to develop drought-tolerant varieties to sustain crop productivity in such a region during the dry season [32]. Overall, this study offered a wide range of practical applications to develop a precise agriculture system, particularly concerning soil water.…”
Section: Spatiotemporal Variations In Soil Water Contentmentioning
confidence: 92%