Identifying key traits in high-yielding rice cultivars for adaptability to both temperate and tropical environments

Takai, Toshiyuki; Lumanglas, Patrick D.; Simon, Eliza Vie; Arai‐Sanoh, Yumiko; Asai, Hidetoshi; Kobayashi, Nobuya

doi:10.1016/j.cj.2019.06.004

Cited by 17 publications

(18 citation statements)

References 25 publications

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“…The classifications found in literature for rice cultivars based on morphological descriptors mostly concern the ecotype and grain features, whereas only few studies have proposed classifications based on yield-related traits (Mathure et al, 2011;Schlosser et al, 2000;Yawen et al, 2003). Our grouping partially resemble the 'panicle number type' (Cluster I) and 'panicle weight type' (Cluster III) groups to which some authors refer to generally indicate ideotypes or breeding strategies (IRRI, 1991;Katsura et al, 2007;Peng et al, 2008;Takai et al, 2019), although the classification provided here relies on multiple traits other than panicle dry mass or density.…”

Section: Yield Strategies In the Italian Rice Cultivarsmentioning

confidence: 78%

Phenotypic variability in Italian rice germplasm

Mongiano

Titone

Pagnoncelli

et al. 2020

European Journal of Agronomy

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Plant breeding is one of the key strategies for further enhancement of crop yields; however, effective breeding strategies require phenotypic characterisation of the available germplasm. This study sought to characterise the phenotypic expression of fourteen crop traits related to phenology, plant architecture, and yield in a panel of 40 cultivars selected to represent the phenotypic variability present in Italian rice germplasm during a two-season field experiment. The observed range of phenotypic variation was high for many traits (coefficients of variation ranging from 5.9% to 45.4%) including yield (mean: 6.47 t ha-1 ; CV: 15.4%; min: 2.19 t ha-1 ; max: 8.95 t ha-1), and multiple strong associations emerged in all the analysed traits. Cluster analysis extracted three groups of genotypes characterised by alternative yield strategies, i.e. "high-tillering", "early maturing", and "increased source-sink". Our findings highlight that rice yield decrease when one strategy is overemphasised. In contrast, the highest-yielding genotypes have a balanced ratio between sink and source organs, along with a proportional duration of vegetative and reproductive phases. This study depicts the phenotypic variability in Italian rice cultivars and proposes a novel classification based on yield-related traits which could be of use in multiple rice breeding applications.

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Section: Yield Strategies In the Italian Rice Cultivarsmentioning

confidence: 78%

Phenotypic variability in Italian rice germplasm

Mongiano

Titone

Pagnoncelli

et al. 2020

European Journal of Agronomy

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“…Recent research had proved that genes, irrigation, carbon dioxide concentration, and environmental factors would affect japonica rice quality (Cheng et al., 2019; Liu et al., 2013). These cultivars with low chalkiness degree were adapted to the local planting environment, and these cultivars could be selected for further planting (Takai et al., 2019). In the present study, the range of tested varieties for chalkiness degree varied between cultivars and regions.…”

Section: Resultsmentioning

confidence: 99%

“…With the improvement of people's living standards in recent years, the huge demand for high‐quality rice have shift market attention from quantity advantage to quality advantage (Cheng et al., 2019; Su et al., 2019). However, rice cultivars were bred and planted in specified region, harvesting with different quality (Liu et al., 2015; Takai et al., 2019). Meanwhile, Jiangsu province have obvious environment difference from north to south and this difference effects grain rice quality.…”

Section: Introductionmentioning

confidence: 99%

Grain quality evaluation of japonica rice effected by cultivars, environment, and their interactions based on appearance and processing characteristics

Xia

Sun

Yuan

et al. 2021

Food Science & Nutrition

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Appearance and processing characteristics of 45 japonica rice samples, collected from different regions in Jiangsu province, were investigated and evaluated in this study. Specifically, the chalkiness degree had been presented significant differences among different cultivars and regions. The average chalkiness degree varied from 6.81% to 15.34% for different regions and from 1.93% to 28.31% for different cultivars. The minimum head rice rate of cultivars from four regions, NJ9108 (HA), was 80.5%. The AC of CNG10, HD5, and PJ surpassed 13.68% and lower than 11.33% for the others. The protein content ranged from 6.1% to 11%, and the taste value was significantly different among cultivars. In addition, the RVA curves of the samples were similar, but the peak viscosities of NG8 and NJ5055 were higher than others, and there were significant differences in RVA traits among regions. Cultivars were the main reasons for the difference in appearance and processing quality of japonica rice, while environmental factors had leaded to the change of rice composition, texture, and gelatinization.

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“…Under the IRRI-Japan Collaborative Research Project, 334 introgression lines with the genetic background of IR 64 were developed to enhance yield potential by backcrossing between nine NPT varieties and one Japanese high-yielding cultivar as the donor parents and IR 64 as the recurrent parent (Fujita et al 2009 ). Among those introgression lines, YTH183 showed remarkably higher yield and greater adaptability to both tropical and temperate regions than IR 64 (Takai et al 2019 ). In this study, we genetically analyzed the yield potential of YTH183 from the perspective of HI.…”

Section: Discussionmentioning

confidence: 99%

Two Novel QTLs for the Harvest Index that Contribute to High-Yield Production in Rice (Oryza sativa L.)

Saito

Fukuta

Obara

et al. 2021

Rice

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Background The harvest index (HI) is a measure of the biological success of forming harvestable products. However, our understanding of the genetic basis of HI in rice (Oryza sativa L.) is limited, because it is a complex trait consisting of various yield-related traits and physiological attributes. YTH183 is a high-yielding line with large panicles and high HI derived from a cross between the Indica Group variety IR 64 and the NPT line IR 69093-41-2-3-2 (YP5). Results Here, we detected two novel QTLs for HI, designated qHI5.1 on chromosome 5 and qHI8.1 on chromosome 8, by using 155 recombinant inbred lines (RILs) derived from the cross between IR 64 and YTH183. The YTH183 allele at qHI5.1 contributed to a wide grain, resulting in heavy grain weight and panicle weight, and was consistently effective under the different environmental conditions of subtropical (Ishigaki) and temperate (Tsukuba) regions. Genetic polymorphism revealed that qHI5.1 was identical to GSE5/GW5, which is known to control the grain weight. On the other hand, although qHI8.1 functioned additively with qHI5.1 for higher HI, it did not show any significant effect on grain or panicle weight. In addition, its effects on HI were shown only in the first seasons at Ishigaki but not at Tsukuba or in the second season at Ishigaki. Conclusion Our results indicate that qHI5.1 controls the grain size, regardless of whether environmental conditions are of subtropical or temperate regions, while qHI8.1 might be involved in controlling the physiological processes of source ability or the translocation of photosynthesis products from vegetative organs to grains depending on environmental conditions during the maturing stage. These QTLs will be useful genetic resources for future breeding programs to break through the ceiling of maximum yield in Indica Group varieties.

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Identifying key traits in high-yielding rice cultivars for adaptability to both temperate and tropical environments

Cited by 17 publications

References 25 publications

Phenotypic variability in Italian rice germplasm

Phenotypic variability in Italian rice germplasm

Grain quality evaluation of japonica rice effected by cultivars, environment, and their interactions based on appearance and processing characteristics

Two Novel QTLs for the Harvest Index that Contribute to High-Yield Production in Rice (Oryza sativa L.)

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