Genetic bases of rice grain shape: so many genes, so little known

Huang, Rongyu; Jiang, Liangrong; Zheng, Jingsheng; Wang, Tiansheng; Wang, Houcong; Huang, Yuxin; Hong, Zonglie

doi:10.1016/j.tplants.2012.11.001

Cited by 360 publications

(310 citation statements)

References 81 publications

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“…Three main constituents of grain yield include number of panicles per plant, number of grains per panicle, and grain weight. Among them, grain weight, measured as 1000-grain weight, is a decisive trait to grain yield [12,31]. In this study, the highest significantly positive correlation was found between grain yield per plant and full grain number per plant, followed by number of panicles per plant and grain weight.…”

Section: Discussionmentioning

confidence: 48%

Identification of Phenotypic Variation and Genetic Diversity in Rice (Oryza sativa L.) Mutants

Anh

Khanh

Dat³

et al. 2018

Agriculture

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Abstract:In this study, phenotypic variation and genetic diversity, important factors to decide germplasm for rice breeding, were evaluated among 15 rice mutants attained from the MNU (N-Nitroso-N-methylurea) mutation. The correlation coefficient values among these phenotypic characteristics were calculated. The results showed that full grain number per plant was the most relevant factor contributing to grain yield per plant, and grain length to width ratio was the key parameter affected to amylose content. Furthermore, the genetic variation among mutants was estimated by Simple Sequence Repeat (SSR) markers related to amylose content trait. Fifty-six polymorphism markers covering across eleven rice chromosomes were recorded with an average of 3.02 alleles per locus. The average value of polymorphism information content was 0.47. By using the unweighted pair group method with arithmetic mean (UPGMA) clustering, four clusters were generated with the genetic similarities ranging from 0.52 to 0.91. The variation among groups was 34%, while the variation among individuals within groups was 66%. Findings of this study provided useful genetic background and phenotypic information of collected rice mutants to breed rice cultivars with improved quality.

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Section: Discussionmentioning

confidence: 48%

Identification of Phenotypic Variation and Genetic Diversity in Rice (Oryza sativa L.) Mutants

Anh

Khanh

Dat³

et al. 2018

Agriculture

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“…It has already been reported that some SSRs are associated with regions of DNA that determine the grain type (Huang et al, 2013).…”

Section: Clustering and Identification Of Varieties Based On Genetic mentioning

confidence: 98%

Genetic diversity, identification, and certification of Chilean rice varieties using molecular markers

Becerra

Paredes

Gutiérrez

et al. 2015

Chilean J. Agric. Res.

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It takes approximately 14 yr to produce a new rice (Oryza sativa L.) variety, that is, from initial hybridization to its commercial release. Currently, new varieties are identified based on morphological descriptors, which have been efficient over time. However, due to the main constraints on seed type impose to other breeding objectives and the pressure of continuous release of varieties, high degree of parentage, and genetic and morphological uniformity has been observed in the breeding populations. The objectives of this study were: to determine the genetic variability of Chilean and foreign commercial rice varieties, and determine, identify, and certify the genetic relationships among varieties, using simple sequence repeat (SSR) markers. A total of 16 commercial varieties, some of them closely related, were included in the study, which were genetically analyzed using 54 microsatellites. The 54 microsatellite loci allowed the discrimination among the 16 varieties. The number of alleles ranged between 2 and 8 with a mean of 3.54 alleles per locus, while the polymorphism information content (PIC) presented a mean of 0.44. The genetic distance and diversity parameters between pairs of varieties indicate a limited diversity among these genotypes. The cluster analysis indicated that varieties were grouped according to their grain type and pedigree. Results demonstrate that the identification and certification of varieties using microsatellite markers could be a good complement to existing agro-morphological data when varieties are closed related.

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“…Most of quantitative traits exhibited continuous distribution which could be seen in rice grain characteristics. Several studies have confirmed that grain weight, grain length and width, and length-to-width ratio are quantitative traits, which genetically controlled by several genes (Lin and Wu 2003;Fan et al 2006;Huang et al 2012;Wang et al 2012).…”

Section: Grain Characteristicmentioning

confidence: 99%

Yield-related traits characterization of local upland rice cultivars originated from East and North Kalimantan, Indonesia

2017

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Abstract. Nurhasanah, Sadaruddin, Sunaryo W. 2017. Yield-related traits characterization of local upland rice cultivars originated from East and North Kalimantan. Biodiversitas 18: 1165-1172. In East and North Kalimantan, rice genetic diversities were very high. Most of the local rice cultivars existed in East and North Kalimantan, are upland rice cultivars. Unfortunately, most of those cultivars have not been optimally studied and characterized for rice breeding purposes. In this study, 146 upland rice cultivars originated from East and North Kalimantan were grown in the field which was further characterized their yield parameters. Tillering capacity, productive tiller, the size and structure of panicle as well as grain characteristics were characterized in the population to select potential superior cultivars. The results showed that the phenotypic variation of tillering capacity in those local upland rice was very high. Tiller number was varied from 2 to 66 tillers, with an average of 20.92 tillers and 25 cultivars had more than 30 tillers. Large range of productive tiller was also observed in the population, ranging from 14.8 to 100% of their tillering capacity, but most of the cultivars (80%) had more than 70% productive tiller. In addition, 9 cultivars had 100% productive tillers, in which all of the tillers generated panicles. Highly significant positive correlation (0.802 ** ) was observed between productive tiller and tillering capacity. The panicle length of the local upland rice cultivars was in range from 14.5 cm to 43.5 cm, with most of the panicle size population clustered in length of 20-30 cm. In addition, 8.2% cultivars had a dense/heavy category, while 22.6% were sparse, and the rest of 70.2% had no panicle secondary branch. Variation of grain characteristics of local upland rice in the East and North Kalimantan including grain weight, grain length and width, as well as length-to-width ratio was also discussed in this study.

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Genetic bases of rice grain shape: so many genes, so little known

Cited by 360 publications

References 81 publications

Identification of Phenotypic Variation and Genetic Diversity in Rice (Oryza sativa L.) Mutants

Identification of Phenotypic Variation and Genetic Diversity in Rice (Oryza sativa L.) Mutants

Genetic diversity, identification, and certification of Chilean rice varieties using molecular markers

Yield-related traits characterization of local upland rice cultivars originated from East and North Kalimantan, Indonesia

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