N MOHANTY, S K NAYAK, J KUMAR, S MOHANTY, J MOLLA, L BEHERA
{"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":null,"pages":null},"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}
引用次数: 0
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.
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.