Character Association and Path Analysis among Yield Components in  Indian Mustard [Brassica juncea (L.) Czern and Coss]

Rout, Sanghamitra; Kerkhi, S.A.; Chauhan, Charupriya

doi:10.20546/ijcmas.2018.701.007

Cited by 9 publications

(13 citation statements)

References 3 publications

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“…Generally, the positive associations among these traits suggest the prospect of improving these important yield-attributing characters concurrently. The present study is supported by the previous work done by Akbar et al, 2003;Hasan et al, 2014;Shekhawat et al, 2014;Banerjee et al, 2017 andRout et al, 2018 who indicated a positive relationship of different intensity between seed yield per plant and other seed yield related traits. Singh et al (2003) and Lodhi et al (2014) also observed such positive association of seed yield with siliqua on main shot and plant height.…”

Section: Resultssupporting

confidence: 90%

“…Thus, it can be inferred that by improving these traits through selection either alone or in combination, will result in improvement of seed yield in mustard. Similar results were also reported by Roy et al, 2015;Vermai et al, 2016;Rout et al, 2018. From the above discussion, it may be concluded that differential association was observed among the component characters. The presence of significant and positive association of seed yield with characters plant height, primary branches per plant, secondary branches per plant and the number of siliqua on main shoot length, revealed that the selection based on these traits would ultimately improve seed yield.…”

Section: Resultssupporting

confidence: 89%

“…On the other hand it was negatively associated with main shoot length (r= -0.230, p=0.025) and the number of seeds per siliqua (r= -0.223, p=0.029). Such results are in concurrence with those obtained by Lodhi et al, 2014;Banerjee et al, 2017 andRout et al, 2018. Number of secondary branches per plant exhibited significant and negative association with siliqua length (r= -0.260, p=0.035) and positive association with seed yield per plant (r=0.533, p<0.001). Supporting to our study, Ramanjaneyulu and Giri (2007) reported significant positive association between secondary branches per plant and seed yield in Indian mustard, which was supported later by Lodhi et al (2014) and Banerjee et al (2017).…”

Section: Appendix-i List Of 95 Germplasm Accessions Of Indian Mustarsupporting

confidence: 92%

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Assessment of genetic relationship among diverse Indian mustard (Brassica juncea L.) genotypes using XLSTAT

Singh

Avtar²,

Mahavir³

et al. 2020

EJPB

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This research was conducted to study the genetic relationship between eleven quantitative traits of 95 Indian mustard (Brassica juncea L.) genotypes. The experiment material was evaluated in paired rows of 4 m length at Research Area of Oilseeds Section, Department of Genetics and plant breeding, CCS HAU, Hisar during Rabi, 2017-18. All the recommended package of practices was followed to raise the healthy crop. Maximum variation was observed for seed yield per plant followed by the number of secondary branches per plant, the number of primary branches per plant, 1000-seed weight and the number of siliqua on main shoot. Correlation studies revealed that seed yield per plant was positively and significantly associated with plant height, the number of primary and secondary branches per plant, and the number of siliqua on main shoot length. Selection based on these traits would ultimately improve seed yield. Four ideal genotypes viz., DRMRIJ-14-261, DRMRIJ-15-52, DRMRIJ-15-148 and M 5 were identified for the traits such as medium maturity, the number of primary branches per plant, the number of seeds per siliqua and 1000-seed weight in this study. These genotypes can be used as source lines in breeding programme for obtaining desirable segregates. Keywords Descriptive statistics, genetic relationship and Indian mustard (Brassica juncea L.

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Section: Resultssupporting

confidence: 90%

Section: Resultssupporting

confidence: 89%

Section: Appendix-i List Of 95 Germplasm Accessions Of Indian Mustarsupporting

confidence: 92%

See 1 more Smart Citation

Assessment of genetic relationship among diverse Indian mustard (Brassica juncea L.) genotypes using XLSTAT

Singh

Avtar²,

Mahavir³

et al. 2020

EJPB

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“…Majority of the quality parameter were found negatively correlated with seed yield per plant, but improvement of quality of oil content is also valuable. A positive and high direct effect of the number of siliquae per plant on seed yield per plant was also reported by Roy et al (2015), Rout et al (2018) and Patel et al (2019). Roy et al (2015) and Pandey et al (2020) also found positive and high direct effect of seeds per siliqua on seed yield per plant.…”

supporting

confidence: 72%

Elucidation of genetic variability and inter-relationship studies for seed yield and quality traits in Indian mustard [Brassica juncea (L.) Czern and Coss]

Patel

Patel²,

Patel³

et al. 2021

EJPB

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Forty five genotypes of Indian mustard [Brassica juncea (L.) Czern and Coss] were evaluated for seed yield and quality traits in Randomized Block Design with four replications during the Rabi, 2019-2020. The analysis of variance revealed that the mean sum of squares due to genotypes was significant for all the eighteen characters studied indicating the presence of variability for all the traits among the genotypes under study. Low difference between genotypic and phenotypic variances revealed that the contribution of genotypic variance to total variance was more for all the traits except days to maturity and plant height. The high values of genotypic and phenotypic coefficient of variation for the number of branches per plant, seed yield per plant , myristic acid, palmitic acid and stearic acid which indicated the potential variability available for these traits. The high heritability estimates obtained in conjunction with high genetic advance were observed for the number of branches per plant, the number of siliquae per plant, seeds per siliqua, length of siliqua , 1000-seed weight , seed yield per plant , myristic acid , palmitic acid, stearic acid , linoleic acid , linolenic acid and glucosinolate suggesting the predominant role of additive gene action for their expression. Association analysis between seed yield per plant and other seventeen characters revealed significantly positive correlation of seed yield per plant with the number of siliquae per plant, seeds per siliqua, length of siliquam, myristic acid and erucic acid. Path analysis revealed positive direct effects of the number of siliquae per plant and seeds per siliqua towards seed yield per plant while myristic acid, the number of branches per plant had a positive indirect effect on seed yield per plant via the number of siliquae per plant suggesting that the selection for such traits would be more effective for improving seed yield in Indian mustard.

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“…In recent years, several breeders have been widely carried out correlation analysis in various field crops and unveiled the positive association of different yield contributing characters with seed yield, such as in rice (Hasan et al, 2013;, rapeseed (Banglian et al, 2017;Solanki et al, 2017;Rout et al, 2018), sunflower (Gorgieva et al, 2015, maize (Aman et al, 2020), sorghum (Mengesha et al, 2019), millet (Chavan et al, 2019), barley (Hailu et al, 2016) and oat (Surje and De, 2014). In the present study, the correlations result in non-saline soil ( ).…”

Section: Resultsmentioning

confidence: 99%

Correlation Analysis Between Morphological, Physiological and Yield Traits Under Salinity Stress Condition in Wheat (Triticum Aestivum L.) Genotypes

Gandahi

Baloch²,

Sarki

et al. 2021

PJAAEVS

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Salinity is one of the key factors reducing the plant growth and productivity of major crops including wheat. However, identifying the multiple genetic parameters associated with salt tolerance during different growth stages is critical for the evaluation and enhancement of wheat genotypes. In this context, a field experiment in non-saline and saline soil was carried out for correlation analysis of 17 morphological, physiological and yield traits in 22 genotypes of wheat. The experiment was carried out at experimental field of NIA, Tandojam during 2018-2019 in a Randomized Complete Block Design (RCBD) with three replications and two treatments (non-saline soil and salinity level of 12 dS m-1). The obtained mean squares showed significant differences among the tested genotypes for all the studied characters, reflecting that there are abundant genetic variations present in these wheat genetic resources for further utilization in wheat improvement programs. The correlation analysis demonstrated that a variety of characters, including spike length (non-saline r = 0.59**; salinity r = 0.37*), spikelets spike-1 (non-saline r = 0.49**; salinity r = 0.46**), grains spike-1 (non-saline r = 0.49**; salinity r = 0.43**), biological yield plot-1 (non-saline r = 0.56**; salinity r = 0.70**), harvest index (non-saline r = 0.24*; salinity r = 0.26*), relative water content (non-saline r = 0.53**; salinity r = 0.50**), seed index (non-saline r = 0.29*; salinity r = 0.52**) and K+ (non-saline r = 0.28*; salinity r = 0.32**) showed positive and significant associations with grain yield plot-1 in non-saline and salinity stress conditions. The results suggest that these above-mentioned characters may be set as selection criteria in breeding study to improve wheat genotypes for high yielding under saline filed conditions.

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Character Association and Path Analysis among Yield Components in Indian Mustard [Brassica juncea (L.) Czern and Coss]

Cited by 9 publications

References 3 publications

Assessment of genetic relationship among diverse Indian mustard (Brassica juncea L.) genotypes using XLSTAT

Assessment of genetic relationship among diverse Indian mustard (Brassica juncea L.) genotypes using XLSTAT

Elucidation of genetic variability and inter-relationship studies for seed yield and quality traits in Indian mustard [Brassica juncea (L.) Czern and Coss]

Correlation Analysis Between Morphological, Physiological and Yield Traits Under Salinity Stress Condition in Wheat (Triticum Aestivum L.) Genotypes

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