Genotype-by-environment interaction analysis of rice (Oryza spp.) yield in a floodplain ecosystem in West Africa

Seed priming refers to seed enhancement methods that stimulate seed metabolism. This study evaluated the genetic diversity of hydro priming efficacy in 27 different genotypes of rice under dry to wet soil moisture conditions. The genotypes included 21 genotypes of Oryza sativa, five genotypes of Oryza glaberrima, and one genotype of NERICA (New Rice for Africa). The treated rice seeds were sown in plastic boxes under four soil moisture conditions (5%, 10%, 15%, and 20% (w/w)). The genotypes were categorized into six groups based on growth parameters using hierarchical cluster analysis. Furthermore, emergence properties were investigated by using principal component analysis based on the mean emergence time of control and primed seeds. Seed priming enhanced growth performance under the moderate dry conditions of 10% and 15% soil moisture. Meanwhile, priming efficacy was low in water stress conditions of 5% and 20% soil moisture. There were wide-ranging genotypic differences of priming efficacy under 20% soil moisture condition. Our findings indicate that the anaerobic-tolerant genotypes tend to exhibit priming efficacy under high soil moisture conditions. Furthermore, one group included all upland genotypes of O. sativa. This group originally adapted to 10% and 15% of dry conditions, and seed priming improved their features greatly.

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“…9 • 06 N, long. 1 • 09 W) [20]. Regarding soil texture, clay, silt, and sand was 7.0%, 29.4%, and 63.6% respectively.…”

Section: Methodsmentioning

confidence: 93%

Genetic Diversity of Hydro Priming Effects on Rice Seed Emergence and Subsequent Growth under Different Moisture Conditions

Nakao

Sone

Sakagami

2020

Genes

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“…This information is required for planning better selection strategies and to identify the best environment to select genotypes for grain yield (Gauch and Zobel, 1996 ; Kang, 1998 ). Several studies have been conducted on stability performance for grain yield of rice for different ecosystems (Cooper et al, 1999 ; Wade et al, 1999 ; Ouk et al, 2007 ; Anandan et al, 2009 ; Kumar et al, 2012 ; Tariku et al, 2013 ; Liang et al, 2015 ; Katsura et al, 2016 ). Many such studies showed that genotype × environment interaction was more significant than genotypic main effects (Henderson et al, 1996 ; Cooper and Somrith, 1997 ; Wade et al, 1997 , 1999 ; Cooper et al, 1999 ; Inthapanya et al, 2000 ).…”

Section: Introductionmentioning

confidence: 99%

Genotype × Environment Interactions of Yield Traits in Backcross Introgression Lines Derived from Oryza sativa cv. Swarna/Oryza nivara

et al. 2016

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Advanced backcross introgression lines (BILs) developed from crosses of Oryza sativa var. Swarna/O. nivara accessions were grown and evaluated for yield and related traits. Trials were conducted for consecutive three seasons in field conditions in a randomized complete block design with three replications. Data on yield traits under irrigated conditions were analyzed using the Additive Main Effect and Multiplicative Interaction (AMMI), Genotype and Genotype × Environment Interaction (GGE) and modified rank-sum statistic (YSi) for yield stability. BILs viz., G3 (14S) and G6 (166S) showed yield stability across the seasons along with high mean yield performance. G3 is early in flowering with high yield and has good grain quality and medium height, hence could be recommended for most of the irrigated locations. G6 is a late duration genotype, with strong culm strength, high grain number and panicle weight. G6 has higher yield and stability than Swarna but has Swarna grain type. Among the varieties tested DRRDhan 40 and recurrent parent Swarna showed stability for yield traits across the seasons. The component traits thousand grain weight, panicle weight, panicle length, grain number and plant height explained highest genotypic percentage over environment and interaction factors and can be prioritized to dissect stable QTLs/ genes. These lines were genotyped using microsatellite markers covering the entire rice genome and also using a set of markers linked to previously reported yield QTLs. It was observed that wild derived lines with more than 70% of recurrent parent genome were stable and showed enhanced yield levels compared to genotypes with higher donor genome introgressions.

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“…The effects of genotypes, environments and G x E interactions provided prediction on performance of genotypes overall and specific adaptation to different environment conditions [32], which is essential in selection strategies to stable genotype with suitable environment for grain yield [33,34]. Similar results were reported by [21,34,35,36,37,38,39,40] over different ecosystems for grain yield in rice.…”

Section: G X E Interactions For Adaptability and Stability Of The Culmentioning

confidence: 70%

Evaluation of Genotypic Performances in Native Rice Landraces of Bangladesh

Jui

Hossain²,

Devnath

et al. 2020

ARJA

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Field experiments were carried out at Dinajpur, Nilphamari and Faridpur from July, 2017 to March, 2018 to evaluate the performance of native land races of rice viz., Chinigura, Kataribhog, Radhunipagol, Badshabhog, Kalozira, Uknimadhu, Dudshar, Salna, Shitabhog and Zirashail to assess G x E interaction against five quantitative characters, plant height (cm), productive tillers/hill, 1000-grain weight (g), grain yield/m2 and days to maturity, and three qualitative characters, proline (%) as µmol/g fresh weight, aroma from green leaves and cooked rice. The field experiment was conducted in Randomized Complete Block Design with three replications. The highest grain yield (390.25 g/m2) was obtained from Radhunipagol at Dinajpur. Next to Radhunipagol, Kataribhog produced higher grain yield (350.00 g/m2) which was significantly higher than that of Nilphamari and Faridpur but Radhunipagol was suited both for Dinajpur and Nilphamari. The cultivar, Kalozira was adapted to three locations as reflected by its regression coefficient very close to unity (b=0.92) and deviation from the coefficient estimated very near to zero (s2d=0.16). Maximum proline was estimated (18.7 µmol/g fresh weight) from Chinigura cultivated at Dinajpur. The proline (%) estimated average from Kalozira at three locations and the range varied from 14.00 -15.90 µmol/g fresh weight. Dinajpur appeared as the best and Faridpur as an unfavorable location for local aromatic rice cultivars. Since, aroma was assessed through sensory method the maximum aroma was assessed from Chinigura under Dinajpur but its content gradually decreased at Nilphamari and Faridpur. The aroma assessed from cooked rice ranged from 7.05-8.90 over three locations but maximum aroma was assessed under Dinajpur. Chinigura, Radhunipagol and Kataribhog found suitable for Dinajpur, and Kalozira and Badshabhog might suggest cultivating over the locations of Bangladesh.

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Genotype-by-environment interaction analysis of rice (Oryza spp.) yield in a floodplain ecosystem in West Africa

Cited by 23 publications

References 35 publications

Genetic Diversity of Hydro Priming Effects on Rice Seed Emergence and Subsequent Growth under Different Moisture Conditions

Genetic Diversity of Hydro Priming Effects on Rice Seed Emergence and Subsequent Growth under Different Moisture Conditions

Genotype × Environment Interactions of Yield Traits in Backcross Introgression Lines Derived from Oryza sativa cv. Swarna/Oryza nivara

Evaluation of Genotypic Performances in Native Rice Landraces of Bangladesh

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