Influence of Transplanting Age on  Paddy Yield under the System of Rice  Intensification

Reuben, Paul; Katambara, Zacharia; Kahimba, Frederick C.; Mahoo, H. F.; Mbungu, Winfred; Mhenga, Fikiri; Maugo, Muyenjwa

doi:10.4236/as.2016.73015

Cited by 19 publications

(23 citation statements)

References 15 publications

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“…The scheme was constructed in the period between 1980 and 1983. The scheme started producing rice in 1985 with [14].…”

Section: Description Of the Study Areamentioning

confidence: 99%

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Optimizing Plant Spacing under the Systems of Rice Intensification (SRI)

Reuben¹,

Kahimba²,

Katambara³

et al. 2016

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Optimum plant spacing is among key agronomic parameters that influence crop growth performance and crop yield. A study was conducted to investigate the optimum rice transplanting spacing under the Systems of Rice Intensification (SRI) practice in Tanzania. The study composed of five treatments of rice transplanting spacing namely 1) 15 cm × 15 cm (T1); 2) 20 cm × 20 cm (T2); 3) 25 cm × 25 cm (T3); 4) 30 cm × 30 cm (T4); and 5) 35 cm × 35 cm (T5). The experiment was set in a Randomized Complete Block Design (RCBD) and transplanted with uniform age of 12 days old seedlings in all treatments. The rice variety tested was TXD 306 Super SARO which was recommended by the Ministry of Agriculture for flooded rice in central and eastern Tanzania. Data was collected throughout the two growing seasons (Masika and Vuli) of 2013 and 2014. Data collected include biomass at vegetative, flowering and harvesting stages, total number of tillers per hill, number of productive tillers per hill, number of grains per panicle and rice grain yield at the end of the season. Data was analyzed using SAS software version 9.1. Results have shown that transplanting spacing of 25 cm × 25 cm, 30 cm × 30 cm and 35 cm × 35 cm has significantly performed better than rice transplanted at 15 cm × 15 cm and 20 cm × 20 cm. For the higher performing treatments, 25 cm × 25 cm has performed much higher than the rest. It is therefore recommended that for rice variety TXD 306 Super SARO under SRI practice in areas with soil conditions similar to Mkindo area in Morogoro Region, the optimum transplanting spacing that gives maximum yield is 25 × 25 cm.

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“…The scheme was constructed in the period between 1980 and 1983. The scheme started producing rice in 1985 with [14].…”

Section: Description Of the Study Areamentioning

confidence: 99%

“…Samples were removed from the oven, re-weighed and recorded for analysis. The following formula [14] was used to calculate the crop biomass per hectare:…”

Section: Biomassmentioning

confidence: 99%

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Optimizing Plant Spacing under the Systems of Rice Intensification (SRI)

Reuben¹,

Kahimba²,

Katambara³

et al. 2016

Self Cite

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“…The rice mechanical transplanting technology including mechanical equipment and seedling raising technology widely applied in northern China was derived from Japan based on conventional japonica rice, which was restricted applied in indica varieties and hybrid rice with double season and multiple cropping system in southern China [4][5][6][7][8][9]. In particular, due to the tight growing season, the limitation of seeding density and seedling quality makes it more difficult to improve the efficiency for mechanized transplanting [10][11][12][13]. Although it has been used in hybrid rice, which accounts for about 60% of the rice producing area, the traditional rice mechanical transplanting technology cannot fully exploit the high yield advantage of hybrid rice, mainly due to the poor seedling cultivation, such as high seeding density, poor quality of seedlings, high rate of seedlings injury and large amount of seedlings per hill [14][15][16][17].…”

Section: Introductionmentioning

confidence: 99%

Genetic analysis of rice seedling traits related to machine transplanting under different seeding densities

et al. 2020

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Background Due to the diversity of rice varieties and cropping systems in China, the limitation of seeding density and seedling quality makes it hard to improve machine-transplanted efficiency. Previous studies have shown that indica and japonica varieties varied in machine transplanting efficiency and optimal seeding density. In this study, a RIL population derived from ‘9311’ and ‘Nipponbare’ were performed to explore the seedling traits variations and the genetic mechanism under three seeding densities. Results The parents and RIL population exhibited similar trends as the seeding density increased, including seedling height and first leaf sheath length increases, shoot dry weight and root dry weight decreases. Among the 37 QTLs for six traits detected under the three seeding densities, 12 QTLs were detected in both three seeding densities. Five QTL hotspots identified clustered within genomic regions on chromosomes 1, 2, 4, 6 and 11. Specific QTLs such as qRDW1.1 and qFLSL5.1 were detected under low and high seeding densities, respectively. Detailed analysis the QTL regions identified under specific seeding densities revealed several candidate genes involved in phytohormones signals and abiotic stress responses. Whole-genome additive effects showed that ‘9311’ contributed more loci enhancing trait performances than ‘Nipponbare’, indicating ‘9311’ was more sensitive to the seeding density than ‘Nipponbare’. The prevalence of negative epistasis effects indicated that the complementary two-locus homozygotes may not have marginal advantages over the means of the two parental genotypes. Conclusions Our results revealed the differences between indica rice and japonica rice seedling traits in response to seeding density. Several QTL hotspots involved in different traits and specific QTLs (such as qRDW1.1 and qFLSL5.1) in diverse seeding densities had been detected. Genome-wide additive and two-locus epistasis suggested a dynamic of the genetic control underlying different seeding densities. It was concluded that novel QTLs, additive and epistasis effects under specific seeding density would provide adequate information for rice seedling improvement during machine transplanting.

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“…Rice seedlings are preferably transplanted at age of 2-to 3week-old. Rice yield was reported to be significantly affected by seedling age at transplanting (Sowmyalatha et al, 2017;Liu et al, 2017;Reuben et al, 2016). Average time-lapse between floodwater at 15-cm depth to fully subside is around 2 weeks.…”

Section: Introductionmentioning

confidence: 99%

Decaying Utricularia-biomass versus soil-based substrate for production of high quality pre-transplanted rice seedlings using floating seedbeds

Ramadhani¹,

Lakitan²,

Hasmeda³

2018

Aust J Crop Sci

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Rice growing season at riparian wetlands in Indonesia is started at the end of rainy season before floodwater completely subsides. However, available materials for nursery substrate are limited during flooding period of the wetlands. This study aimed to evaluate three available and affordable substrates for producing high quality rice seedlings. The three substrates evaluated were decaying biomass of Utricularia vulgaris (DBUv); mixed of soil and U. vulgaris biomass plus biochar (SUv+B); and soil amended with biochar (S+B). Rice seedling preparation was done using modified floating seedbeds, adjusted specifically for light weight load of the evaluated substrates. Results of this study indicated that seedlings sown on DBUv substrate were significantly taller than those on S+B or DBUv substrate at 21 DAS. Roots of seedlings sown on DBUv substrate exhibited minimum broken root tips, when they were pulled off the substrate, while more broken root tips were observed in those sown on SUv+B and S+B substrates, causing significantly more shorter intact roots. Broken root tip was closely related to substrate porosity. DBUv substrate had significantly higher porosity than SUv+B and S+B substrates. There were no significant differences in number of leaves and chlorophyll concentration index (CCI) among seedlings grown on all substrates. Better performance of seedlings grown on DBUv substrate was more pronounced on 21-day-old seedlings; therefore, it is recommended to farmers to use DBUv substrate and do transplanting of rice seedlings to paddy field at age of 21-day-old.

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Influence of Transplanting Age on Paddy Yield under the System of Rice Intensification

Cited by 19 publications

References 15 publications

Optimizing Plant Spacing under the Systems of Rice Intensification (SRI)

Optimizing Plant Spacing under the Systems of Rice Intensification (SRI)

Genetic analysis of rice seedling traits related to machine transplanting under different seeding densities

Decaying Utricularia-biomass versus soil-based substrate for production of high quality pre-transplanted rice seedlings using floating seedbeds

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