水稻粒数相关性状方差分析及群体结构研究

IF 0.3 4区农林科学 Q4 AGRICULTURE, MULTIDISCIPLINARY

Indian Journal of Agricultural Sciences Pub Date : 2023-09-26 DOI:10.56093/ijas.v93i9.135372

N MOHANTY, S K NAYAK, J KUMAR, S MOHANTY, J MOLLA, L BEHERA

{"title":"水稻粒数相关性状方差分析及群体结构研究","authors":"N MOHANTY, S K NAYAK, J KUMAR, S MOHANTY, J MOLLA, L BEHERA","doi":"10.56093/ijas.v93i9.135372","DOIUrl":null,"url":null,"abstract":"Utilising average data from the rainy (kharif) seasons of 2021 and 2022, the genetic diversity of 188 recombinant inbred lines (RILs) of rice (Oryza sativa L.) was evaluated at the research farm of ICAR-National Rice Research Institute, Cuttack, Odisha. The grain number and associated 10 characteristics' coefficient of phenotypic variability was substantial, with the grain number per panicle having the greatest PCV and GCV. Principal component analysis was used to further identify the relationships and trends among the RILs. The first four primary components (74.58%) fully described the variability of all 10 features. Cultivars were divided into 8 groups based on the characters used to attribute grain number. To analyse genetic differences between RILs at the molecular level, 22 SSR markers were utilised and the PIC value was 0.709. A strong and significant relationship between them was shown by the structural analysis, with spikelet number and spikelet fertility per cent indicating a particularly strong correlation. Between clusters 1 and 3, there was considerable genetic variety, which offers great breeding options.","PeriodicalId":13499,"journal":{"name":"Indian Journal of Agricultural Sciences","volume":"61 1","pages":"0"},"PeriodicalIF":0.3000,"publicationDate":"2023-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Variance analysis for grain number related traits and study of population structure in rice (Oryza sativa)\",\"authors\":\"N MOHANTY, S K NAYAK, J KUMAR, S MOHANTY, J MOLLA, L BEHERA\",\"doi\":\"10.56093/ijas.v93i9.135372\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Utilising average data from the rainy (kharif) seasons of 2021 and 2022, the genetic diversity of 188 recombinant inbred lines (RILs) of rice (Oryza sativa L.) was evaluated at the research farm of ICAR-National Rice Research Institute, Cuttack, Odisha. The grain number and associated 10 characteristics' coefficient of phenotypic variability was substantial, with the grain number per panicle having the greatest PCV and GCV. Principal component analysis was used to further identify the relationships and trends among the RILs. The first four primary components (74.58%) fully described the variability of all 10 features. Cultivars were divided into 8 groups based on the characters used to attribute grain number. To analyse genetic differences between RILs at the molecular level, 22 SSR markers were utilised and the PIC value was 0.709. A strong and significant relationship between them was shown by the structural analysis, with spikelet number and spikelet fertility per cent indicating a particularly strong correlation. Between clusters 1 and 3, there was considerable genetic variety, which offers great breeding options.\",\"PeriodicalId\":13499,\"journal\":{\"name\":\"Indian Journal of Agricultural Sciences\",\"volume\":\"61 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.3000,\"publicationDate\":\"2023-09-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Indian Journal of Agricultural Sciences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.56093/ijas.v93i9.135372\",\"RegionNum\":4,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"AGRICULTURE, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Indian Journal of Agricultural Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.56093/ijas.v93i9.135372","RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"AGRICULTURE, MULTIDISCIPLINARY","Score":null,"Total":0}

引用次数: 0

摘要

利用2021年和2022年雨季的平均数据，在icar国家水稻研究所位于奥里萨邦的研究农场对188个重组自交系(Oryza sativa L.)的遗传多样性进行了评估。籽粒数和相关性状的表型变异系数较大，其中每穗籽粒数的PCV和GCV最大。主成分分析进一步确定了各因子之间的关系和趋势。前四个主要成分(74.58%)完全描述了所有10个特征的可变性。根据籽粒数属性将品种分为8个类群。利用22个SSR标记，PIC值为0.709，在分子水平上分析ril间的遗传差异。结构分析表明，它们之间存在强烈而显著的关系，其中小穗数与小穗育性之间的相关性特别强。在集群1和集群3之间，有相当多的遗传多样性，这为育种提供了很大的选择。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Variance analysis for grain number related traits and study of population structure in rice (Oryza sativa)

Utilising average data from the rainy (kharif) seasons of 2021 and 2022, the genetic diversity of 188 recombinant inbred lines (RILs) of rice (Oryza sativa L.) was evaluated at the research farm of ICAR-National Rice Research Institute, Cuttack, Odisha. The grain number and associated 10 characteristics' coefficient of phenotypic variability was substantial, with the grain number per panicle having the greatest PCV and GCV. Principal component analysis was used to further identify the relationships and trends among the RILs. The first four primary components (74.58%) fully described the variability of all 10 features. Cultivars were divided into 8 groups based on the characters used to attribute grain number. To analyse genetic differences between RILs at the molecular level, 22 SSR markers were utilised and the PIC value was 0.709. A strong and significant relationship between them was shown by the structural analysis, with spikelet number and spikelet fertility per cent indicating a particularly strong correlation. Between clusters 1 and 3, there was considerable genetic variety, which offers great breeding options.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Indian Journal of Agricultural Sciences 农林科学-农业综合

CiteScore

0.80

自引率

25.00%

发文量

273

审稿时长

6 months

期刊介绍： The Indian Journal of Agricultural Sciences publishes papers concerned with the advancement of agriculture throughout the world. It publishes original scientific work related to strategic and applied studies in all aspects of agricultural science and exploited species, as well as reviews of scientific topics of current agricultural relevance. Specific topics of interest include (but are not confined to): genetic resources, all aspects of crop improvement,crop production,crop protection, physiology, modeling of crop systems, the scientific underpinning of agronomy, engineering solutions, decision support systems, land use, environmental impacts of agriculture and forestry, impacts of climate change, rural biodiversity, experimental design and statistical analysis, the application of new analytical and study methods (including molecular studies) and agricultural economics. The journal also publishes book reviews. Articles are accepted on the following broad disciplines: Agric. Engineering & Technology, Agric. Social & Economic Sci., Agronomy, Biometry, Biosciences, Cytology, Ecology, Environmental Sciences, Fertilization, Forestry , Genetics, Horticultural Sciences, Microbiology, Pest, Weed Control etc., Molecular Biology, Plant Pathology, Plant Breeding, Physiology and Biochemistry, Soil Sciences, Special Cultivation Technology, Stress Breeding, Agric. extension, and Cell Biology.