Shikha Kumari, S. Sinha, Satyendra, V. Kumar, R. Singh, Amit Kumar, Ravindra Kumar, Snehanshu Singh
{"title":"Estimation of genetic variability, correlation and path analysis in elite rice genotypes (Oryza sativa L.)","authors":"Shikha Kumari, S. Sinha, Satyendra, V. Kumar, R. Singh, Amit Kumar, Ravindra Kumar, Snehanshu Singh","doi":"10.35709/ory.2023.60.1.3","DOIUrl":null,"url":null,"abstract":"A trial was carried out to explore the variability and correlation among thirty five rice (Oryza sativa L.) germplasm for fifteen characters, during kharif 2017-18 at Bihar Agricultural University, Sabour, (Bihar). Analysis of variance revealed significant differences among all the genotypes and for all fifteen characters, which reflects that considerable amount of variability, were present in the genotypes. Two genotypes LPD104-B-B-1-8-2-1-1and RP5124-11-6-2 were identified as the superior genotypes for yield. The highest magnitude of genotypic coefficient of variation was recorded for length breadth ratio of rice grain, however highest phenotypic coefficients of variation were recorded for grain yield per plant followed by kernel length. High heritability coupled with high genetic advance as per cent mean was observed for kernel length and length breadth ratio. In this experiment grain yield per plant had positive and significant association with biological yield per plant, days to 50 per cent flowering, days to maturity, while remaining characters had non-significant association with yield. Path coefficient analysis revealed that the biological yield per plant, harvest index and kernel length had high positive direct effects on grain yield per plant indicating true relationship of these characters with grain yield. Therefore, these traits could be considered in rice improvement programme.","PeriodicalId":19618,"journal":{"name":"ORYZA- An International Journal on Rice","volume":"7 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ORYZA- An International Journal on Rice","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.35709/ory.2023.60.1.3","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
A trial was carried out to explore the variability and correlation among thirty five rice (Oryza sativa L.) germplasm for fifteen characters, during kharif 2017-18 at Bihar Agricultural University, Sabour, (Bihar). Analysis of variance revealed significant differences among all the genotypes and for all fifteen characters, which reflects that considerable amount of variability, were present in the genotypes. Two genotypes LPD104-B-B-1-8-2-1-1and RP5124-11-6-2 were identified as the superior genotypes for yield. The highest magnitude of genotypic coefficient of variation was recorded for length breadth ratio of rice grain, however highest phenotypic coefficients of variation were recorded for grain yield per plant followed by kernel length. High heritability coupled with high genetic advance as per cent mean was observed for kernel length and length breadth ratio. In this experiment grain yield per plant had positive and significant association with biological yield per plant, days to 50 per cent flowering, days to maturity, while remaining characters had non-significant association with yield. Path coefficient analysis revealed that the biological yield per plant, harvest index and kernel length had high positive direct effects on grain yield per plant indicating true relationship of these characters with grain yield. Therefore, these traits could be considered in rice improvement programme.
在比哈尔邦农业大学(Sabour, Bihar)进行了一项研究水稻(Oryza sativa L.) 35个种质间15个性状变异和相关性的试验。方差分析显示所有基因型和所有15个性状之间存在显著差异,这反映了基因型中存在相当大的变异性。两个基因型lpd104 - b - b -1-8-2-1-1和RP5124-11-6-2被鉴定为产量优势基因型。籽粒长宽比的基因型变异系数最大,单株产量的表型变异系数最大,其次是粒长。籽粒长和长宽比具有较高的遗传力和遗传进阶率。单株籽粒产量与单株生物产量、开花天数至50%、成熟天数呈显著正相关,其余性状与产量无显著正相关。通径系数分析表明,单株生物产量、收获指数和粒长对单株籽粒产量有较高的正向直接影响,表明这些性状与籽粒产量存在真实的关系。因此,这些性状可在水稻改良方案中加以考虑。