Correlation and Path Coefficient Analysis in Rice (Oryza sativa L.) for Sodicity Tolerance

Prakash, Hamsa Poorna; Verma, Om Prakash; Chaudhary, Amit; Amir, M.

doi:10.20546/ijcmas.2018.707.022

Cited by 4 publications

(6 citation statements)

References 8 publications

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“…1000-grain weight registered positive and significant association with kernel length (0.5382**) kernel breadth (0.6791**) and negative correlation association with head rice recovery (-0.4713**), L/B ratio (-0.1924*), hulling% (-0.2590**), milling% (-0.1773*) whereas it had positive significant association with grain yield per plant (0.2588**). These results are in line with the earlier reports of Babu et al [14], Nikhil et al [15], Lakshmi et al [16], Sarwar et al [2], Abdala et al [17], Devi et al [3], Prakash et al [18], Kiranmayee et al [19], Thorat et al [20] and Nanda et al [21] Islam et al [22] and Singh et al [24].…”

Section: Resultssupporting

confidence: 91%

“…It expressed positive indirect contribution through, number of productive tillers per plant (0.0438), kernel length (0.3608), and kernel breadth (0.4552) and negative indirect contribution through days to 50 per cent flowering (-0.2204), plant height (-0.1173), panicle length (-0.0402), number of grains per panicle (-0.3306), L/B ratio (-0.1290), hulling percentage (-0.1736), milling percentage (-0.1189) and head rice recovery (-0.3159). Nikhil et al [15], Lakshmi et al [16], Kishore et al [32], Sarwar et al [2], Prakash et al [18], Hemalatha et al [33], Kiranmayee et al [19], Arulmozhi et al [34] and Singh et al [24] also reported similar results.…”

Section: Resultsmentioning

confidence: 69%

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Correlation and Path Coefficient Studies for Grain Yield and Yield Components in Rice (Oryza sativa L.)

Saketh,

Shankar,

Srinivas

et al. 2023

IJPSS

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The current research was conducted with an objective to study the correlation between different traits and path coefficient analysis in rice. Four CMS lines were crossed with eight elite restorers in a Line × Tester design and the resultant 32 hybrids were evaluated along with the parents and two checks in a randomized block design with three replications during the rabi season of 2022. The data was collected on 13 quantitative characters. The results revealed that there is a significant variability in the material studied. The character association studies indicated that the trait, grain yield per plant had significant positive genotypic correlation with panicle length, number of productive tillers per plant, number of grains per panicle, 1000 grain weight, 50% flowering, plant height, kernel length, kernel breadth and head rice recovery. The path analysis studies revealed that panicle length was the major contributor for grain yield per plant followed by plant height, number of grains per panicle, days to 50% flowering, 1000-grain weight, kernel length, number of productive tillers per plant, head rice recovery and kernel breadth. These characters showed direct positive effects for grain yield per plant. The above characters can be used directly as the selection criteria in rice yield improvement programmes.

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Section: Resultssupporting

confidence: 91%

Section: Resultsmentioning

confidence: 69%

Correlation and Path Coefficient Studies for Grain Yield and Yield Components in Rice (Oryza sativa L.)

Saketh,

Shankar,

Srinivas

et al. 2023

IJPSS

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“…Positive correlation was recorded with grain yield per plant (0.0995). The similar finding have also been reported by Sarawgi et al, 1997;Chaudhary and Motiramani, 2003;Zahid et al, 2006;Kishore et al, 2007;Babar et al 2009;Jayasudha and Sharma 2010;Rahman et al 2011;Bhadru et al 2011;Maji and Shaibu 2012;Ahamed et al 2014;Sakina et al 2015;Sritama et al, 2015;Kumar et al 2018;Prakash et al 2018).…”

Section: Shiv Prakash Shrivastav Et Alsupporting

confidence: 78%

“…Therefore, these (biological yield per plant, spikelets per panicle, grains per panicle, panicle length, flag leaf area, and leaf nitrogen) characters emerged as most important associates of grain yield in rice. The strong positive association of grain yield with the characters mentioned above has also being reported in rice by earlier workers (Sarawgi et al, 1997;Chaudhary and Motiramani, 2003;Qamar et al, 2005;Ramkrishnan et al, 2006;Kishore et al, 2007;Babar et al 2009;Jayasudha and Sharma 2010;Rahman et al 2011;Bhadru et al 2011;Maji and Shaibu 2012;Ahamed et al 2014;Sakina et al 2015;Sritama et al, 2015;Kumar et al 2018;Prakash et al 2018).…”

Section: Resultssupporting

confidence: 60%

“…These characters have also been identified as major direct contributors towards grain yield by Sarawgi et al (1997) and Mishra and Verma (2002). Janardanam et al (2002), Mahto et al (2003), Qamar et al (2005), Patil and Sarawgi (2006), Zahid et al (2006), Kishore et al (2007), Babar et al (2009), Jayasudha and Sharma (2010), Rahman et al (2011), Bhadru et al (2011), Maji and Shaibu (2012), Ahamed et al (2014), Sakina et al (2015), Sritama et al( 2015), Kumar et al (2018), Prakash et al (2018) have also identified biological yield and harvest-index as important direct and indirect yield contributing characters. The indirect effects of remaining characters were too low to be considered important.…”

Section: Shiv Prakash Shrivastav Et Almentioning

confidence: 99%

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Interrelationships among yield and its contributing traits in rice (Oryza sativa L.) under sodic soil

Shrivastav¹,

Verma²,

Singh³

et al. 2020

EJPB

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Parameter Genetik Dan Analisis Hubungan Antar Sifat Pada Generasi F2 Padi Hasil Persilangan Inpari 31 X Basmati Delta 9

Riyanto

Susanti²,

Haryanto

2023

JPPT

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Program perbaikan padi di Indonesia salah satunya ditujukan untuk mengembangkan varietas unggul dengan bulir panjang ramping. Penelitian ini dilakukan untuk menduga parameter genetik yang meliputi aksi gen, jumlah gen pengendali, keragaman genetik, heritabilitas, kemajuan genetik dan hubungan antara komponen hasil dan hasil pada generasi F2 persilangan Inpari 31 x Basmati Delta 9. Percobaan dilaksanakan di lahan percobaan Fakultas Pertanian Universitas Jenderal Soedirman Purwokerto Jawa Tengah Indonesia. Bahan genetik yang digunakan adalah benih populasi F2 yang berasal dari persilangan Inpari 31 dan Basmati Delta 9, dan dua genotipe tetua. Data sifat-sifat komponen hasil dan hasil digunakan untuk analisis skewness, kurtosis, keragaman genetik, heritabilitas, kemajuan genetik dan hubungan antara. Hasil penelitian menunjukkan aksi gen aditif dan aksi gen epistasis komplementer mengendalikan sifat komponen hasil dan hasil. Diketahui bahwa sifat komponen hasil dan hasil dikendalikan oleh sedikit gen atau banyak gen tergantung sifat yang diamati. Sifat jumlah anakan produktif dan bobot gabah per malai menunjukkan keragaman genetik luas, heritabilitas dan kemajuan genetik tinggi. Kedua sifat ini menunjukkan korelasi positif nyata dan berpengaruh langsung terhadap hasil sehingga dapat dijadikan sifat antara dalam seleksi padi daya hasil tinggi dengan bentuk beras panjang dan ramping.

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Correlation and Path Coefficient Analysis in Rice (Oryza sativa L.) for Sodicity Tolerance

Cited by 4 publications

References 8 publications

Correlation and Path Coefficient Studies for Grain Yield and Yield Components in Rice (Oryza sativa L.)

Correlation and Path Coefficient Studies for Grain Yield and Yield Components in Rice (Oryza sativa L.)

Interrelationships among yield and its contributing traits in rice (Oryza sativa L.) under sodic soil

Parameter Genetik Dan Analisis Hubungan Antar Sifat Pada Generasi F2 Padi Hasil Persilangan Inpari 31 X Basmati Delta 9

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