Diversity analysis in rice breeding lines for yield and its components using principal component analysis

Kumari, Baby; Kumar, Bnvsr Ravi; Dpb, Jyothula; Rao, N. Mallikarjuna

doi:10.22271/phyto.2021.v10.i1m.13451

Cited by 10 publications

(11 citation statements)

References 2 publications

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“…Nevertheless, developing rice for tolerance to drought stress through breeding is a sustainable and cost-effective approach in improving its productivity [17]. Several efforts have been made to improve drought tolerance by identifying donor genotypes, but success rate for their translation into drought-tolerant varieties is very low [18]. For example, screening a large set of genotypes at International Rice Research Institutes (IRRI) of different origins showed that most of the drought-tolerant accessions identified were of aus and indica types that belong to India, Bangladesh, and Sri Lanka [19,20].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Morpho-Physiological Traits in Rice Genotypes for Adaptation under Irrigated and Water-Limited Environments

et al. 2022

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Drought is one of the major limitations to rice productivity worldwide. The present study compared variation in seventeen rice genotypes of Egyptian origin for morpho-physiological traits to identify the best genotypes with combination of adaptive traits under water-limited condition (DS). The DS reduced days to heading (DTH), plant height (PH), flag leaf angle (FLA), flag leaf area (FLAR), chlorophyll content (CHC), relative water content (RWC), grain yield (GY), and its components. Among genotypes, Hybrid 2 expressed the highest GY, panicle length (PL), number of tillers (NT), panicles per plant (NPP), and harvest index (HI) with maximum spikelet sterility (SS) under non-stress condition (NS), while the same genotype expressed ≈ 41% yield reduction under DS. The genotype Giza 179 had earlier DTH, higher and stable GY, FLAR, and yield component traits such as NPP, PW, and HI across the water regimes with least yield reduction (30.5%) under DS. The GY and FLAR, RWC, PL, NT, NPP, PW, and HI were positively correlated under DS. The cluster analysis showed a similarity index of 25% among genotypes. The high yielding genotypes Giza 179, IET 1444, and IRAT 170 had also increased yield components (PL, NT, NPP, PW, TGW and HI) under DS that were attributed to highest FLAR, RWC, and PH, while having reduced LR, FLA, TR, and SS; therefore, these genotypes were categorized as drought-tolerant. The Hybrid 2 and Giza 179 genotypes can perform well under NS; however, the cultivation of Giza 179, Sakha 107, IET 1444, and IRAT 170 would give an advantage in DS-prone areas, hence, these can be used as a donor parental line in future rice breeding programs.

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Section: Introductionmentioning

confidence: 99%

Evaluation of Morpho-Physiological Traits in Rice Genotypes for Adaptation under Irrigated and Water-Limited Environments

et al. 2022

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“…It is also grown with irrigation in locations where rainfall is scarce. Rice is a staple cuisine in India's eastern and southern regions [6][7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Direct and Indirect Effects of Yield Contributing Characters on Grain Yield in Rice (Oryza sativa L.)

Pushkarnath

Reddy

Lal

et al. 2022

IJPSS

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The present study consists of 23 rice genotypes including one check variety were evaluated at Field Experimentation Centre of the Department of Genetics and Plant Breeding, Direct and indirect effects of yield contributing characters on grain yield in Rice (Oryza sativa L.) for 13 quantitative characters. The experiment was conducted by using Randomized Block Design with three replications during Kharif, 2021. MTU-1224 (54.85gm) to be high yielding followed by, RNR-1446 (41.4gm), SHIVA 555 (39.267gm), MTU-1121 (39.2gm), MTU-1272 (38gm) showed higher yield over the NDR359 (check). High to moderate estimates of GCV and PCV were recorded for Number of tillers/hill followed by Grain yield per hill, Test weight, Number of spikelet’s/hill, Biological yield, Harvest index, Number of panicles/hill, Flag leaf width, Flag leaf length and Plant height. Grain yield indicated significant positive correlation with Harvest index followed by Number of panicles/hill, Number of tillers/hill, Number of spikelet’s/Panicles and Biological yield at both phenotypic level and genotypic level. Positive significant direct effects on grain yield per hill were exhibited by harvest index, biological yield and days to 50% flowering at genotypic level and phenotypic level. Thus, these traits are identified as the efficient and potential for indirect selection for the improvement of rice productivity in the present experimental materials.

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“…The first three principal components (PC1, PC2 and PC3) were considered as the major principal components as their eigen values were more than one. Similarly, Kumari et al (2021) reported that the first three principal components as a major principal component while studying 121 rice germplasm. The eigen values and contribution per cent towards divergence are presented in Table 1 and Fig The scatter plot was constructed using the first two major principal components that constituted 600 germplasm scatter along with the ten traits (Fig.…”

Section: Resultsmentioning

confidence: 95%

Genetic analysis of rice germplasm suitable for direct and transplanted establishments

2021

EJPB

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Rice is the staple food crop for most of the population in the world especially in Asia. Due to climate change and labour shortage problems, there is a shift in rice cultivation practices in South Asia. The direct seeded rice cultivation is now preferred over transplanted rice owing to its greater advantage in mechanization and management practices. In the present study, 600 rice germplasm lines were evaluated in transplanted and direct seeded conditions (dry and wet). The principal component analysis revealed that, the first three principal components contributed for 76.54, 78.07 and 80.05 per cent for the total divergence in different establishments viz., dry seeding, wet seeding and transplanting, respectively. The traits viz., days to five per cent flowering, days to 50 per cent flowering, days to 100 per cent flowering and days to maturity contributed the maximum for the total divergence. Further, the genotypes were grouped into 10 clusters based on the dissimilarity coefficient. The clustering pattern of the different establishments was different from one another owing to the differential performance of genotypes in different establishments. The genotypes Tundus, Liu 19, Semiocho and Minchechinhsuthou were found to be very diverse from others in the current study as they were placed in the single solitary clusters in different crop establishments. The genotypes viz., White Ponni, La Hung Ku, IR 78875206B4B and Hsung Tieng 2 had performed better in all the three establishments. Hence, these lines can be used for both direct seeded and transplanted conditions.

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Diversity analysis in rice breeding lines for yield and its components using principal component analysis

Cited by 10 publications

References 2 publications

Evaluation of Morpho-Physiological Traits in Rice Genotypes for Adaptation under Irrigated and Water-Limited Environments

Evaluation of Morpho-Physiological Traits in Rice Genotypes for Adaptation under Irrigated and Water-Limited Environments

Direct and Indirect Effects of Yield Contributing Characters on Grain Yield in Rice (Oryza sativa L.)

Genetic analysis of rice germplasm suitable for direct and transplanted establishments

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