Genetic diversity of African wild rice (Oryza longistaminata Chev. et Roehr) at the edge of its distribution

Lakew, Taddesse; Tanaka, Katsunori; Ishikawa, Ryuji

doi:10.1007/s10722-020-01080-6

Cited by 2 publications

(2 citation statements)

References 33 publications

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“…This low performance of genotypes at E1 might be attributed to the poor environmental conditions, mainly of moisture stress and the condition became better in the following years. As reported by Tilahun et al (2013) and Lakew et al (2021) Fogera plains (Woreta, Dera and Libokemkem) are characterized by moisture stress (late-on set and early off-set of rainfall) which often negatively impacted yield performance of lowland rice. Short growth duration rice varieties are preferred by farmers in these areas which help escape moisture stress and encourage double cropping thereby increasing productivity of their fields.…”

Section: Mean Performance Of Rice Genotypesmentioning

confidence: 81%

Stability and Performance Assessment in 18 Short-Duration Rice Genotypes under Rain Fed Lowland Production Conditions of Ethiopia

2021

JEES

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In order to identify high yielding and stable short-duration lowland rice genotypes, field experiment was conducted with 18 rice genotypes for three consecutive years (2013)(2014)(2015) at five locations in a randomized complete block design of three replications. Combined analysis of variance showed highly significant differences for the genotype and environments. The genotype by environment interaction (GEI) was also highly significant indicating differential response of genotypes to environments. The partitioning of total sum of squares exhibited that the GEI effect was a predominant source of variation (34.44%), followed by the environment and genotype effects of 24.3% and 19.04%, respectively. The GEI effect was nearly two times higher than that of the genotype effect, suggesting the presence of different environment groups. In the AMMI analysis, the first six interaction principal component axes (IPCA1 to IPCA6) were highly significant and together explained 92.18% of interaction sum of squares. AMMI stability value (ASV) discriminated genotypes G17, G16 and G8 as the stable genotypes. But, based on the yield stability index (YSI), the most stable genotypes with high grain yield were genotypes G16 and G11. AMMI1 and GGE biplots also recommended G16 and G11as stable and high yielding genotypes, whereas G2 as unstable but high yielding. Thus, genotypes G16 and G11could be released for wider adaptation while genotype G2 for specific adaptation.

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Section: Mean Performance Of Rice Genotypesmentioning

confidence: 81%

Stability and Performance Assessment in 18 Short-Duration Rice Genotypes under Rain Fed Lowland Production Conditions of Ethiopia

2021

JEES

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“…Therefore, O. rufipogon of Guangdong and Hainan Provinces play an important role in rice breeding improvement and basic research in China. However, the natural habitats of wild rice are rapidly shrinking due to urban and industrial occupation, and the large quantity of O. rufipogon resources also makes research and utilization difficult ( Vaughan et al., 2008 ; Lakew et al., 2021 ). Hence, it is essential to identify the genetic diversity and develop efficient methods to conserve and make use of these natural O. ruﬁpogon populations.…”

Section: Introductionmentioning

confidence: 99%

Genetic diversity of wild rice accessions (Oryza rufipogon Griff.) in Guangdong and Hainan Provinces, China, and construction of a wild rice core collection

et al. 2022

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Oryza rufipogon Griff. is a valuable germplasm resource for rice genetic improvement. However, natural habitat loss has led to the erosion of the genetic diversity of wild rice populations. Genetic diversity analysis of O. rufipogon accessions and development of the core collection are crucial for conserving natural genetic diversity and providing novel traits for rice breeding. In the present study, we developed 1,592 SNPs by multiplex PCR and next-generation sequencing (NGS) technology and used them to genotype 998 O. rufipogon accessions from 14 agroclimatic zones in Guangdong and Hainan Provinces, China. These SNPs were mapped onto 12 chromosomes, and the average MAF value was 0.128 with a minimum of 0.01 and a maximum of 0.499. The O. rufipogon accessions were classified into ten groups. The mean Nei’s diversity index and Shannon–Wiener index (I) were 0.187 and 0.308, respectively, in all populations, indicating that O. rufipogon accessions had rich genetic diversity. There were also differences in the genetic diversity of O. rufipogon resources in the 14 regions. Hainan populations possessed higher levels of genetic diversity, whereas the Guangzhou population had lower levels of genetic diversity than did the other populations. Phylogenetic analysis revealed that the genetic relationship among the distribution sites of O. rufipogon was closely related to geographical location. Based on genetic distance, a core collection of 299 accessions captured more than 99% of the genetic variation in the germplasm. This study provides insights into O. rufipogon conservation, and the constructed core collection provides valuable resources for future research and genomics-assisted breeding of rice.

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Genetic diversity of African wild rice (Oryza longistaminata Chev. et Roehr) at the edge of its distribution

Cited by 2 publications

References 33 publications

Stability and Performance Assessment in 18 Short-Duration Rice Genotypes under Rain Fed Lowland Production Conditions of Ethiopia

Stability and Performance Assessment in 18 Short-Duration Rice Genotypes under Rain Fed Lowland Production Conditions of Ethiopia

Genetic diversity of wild rice accessions (Oryza rufipogon Griff.) in Guangdong and Hainan Provinces, China, and construction of a wild rice core collection

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