Correlation and Path Analysis in Soybean [Glycine max (L.) Merrill]

Shekar, G. C.; pendra, Push; Prasanth, M.; Lokesha, H.S.; Swamy, M. Mahadeva; Lokesh, K.; Shrotia, P.K.; Singh, Kulveer

doi:10.20546/ijcmas.2018.709.147

Cited by 3 publications

(2 citation statements)

References 2 publications

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“…Five quantitative characters viz., number of branches/plant, number of nodes/plant, number of pods/plant, net yield/ plot and 100 seed weight had significant and positive correlation with seed yield/plant and the selection based on these traits is expected to contribute towards yield en-hancement. Shekar et al (2018) reported similar results of significant and positive correlation between number of pods/plant and seed yield/plant. Days to 50% flowering showed significant and positive correlation with days to maturity and the same result was reported by Shekar et al (2018).…”

Section: Resultssupporting

confidence: 59%

“…Shekar et al (2018) reported similar results of significant and positive correlation between number of pods/plant and seed yield/plant. Days to 50% flowering showed significant and positive correlation with days to maturity and the same result was reported by Shekar et al (2018). However, the seed yield/plant is significantly and negatively associated with days to 50 % flowering and days to maturity (Nutan and Gabrial, 2016;Sudhanshu et al, 2015).…”

Section: Resultssupporting

confidence: 59%

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An Assessment of Genetic variability and association studies for yield and its components of soybean MAGIC population lines (Glycine max (L.) Merrill.)

M.¹,

Chauhan²,

R.³

et al. 2022

EEC

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In the present investigation, 565 soybean MAGIC population lines along with 6 checks were evaluated in augmented design in 5 blocks at Agricultural Research Station, Adilabad during kharif, 2019-20 to study genetic parameters, character association and the direct and indirect effects of the traits on seed yield. Based on range, all the traits exhibited huge amount of variability. In the present study, the estimate of PCV was higher than GCV indicating the important role of environment in the expression of the characters under study. The highest genotypic and phenotypic coefficient of variation observed for the traits number of branches per plant (PCV- 33.53 %, GCV-20.15 %), number of pods per plant ( PCV- 32.35 %, GCV-21.11 %), net plot yield( PCV- 36.36 %, GCV-27.27 %) and seed yield per plant (PCV- 31.67 %, GCV-22.30 %) which indicates selection can be applied on these traits to isolate more promising line. The broad sense heritability was lower to higher for all the traits ranged from days to 50% flowering (20.02%) to days to maturity (75.87 %) while high genetic advance was recorded in all traits under study except, days to 50% flowering (2.99 %) and days to maturity (9.47 %).Among all the characters, high heritability along with high genetic advance as percent of mean was observed for plant height and net yield indicating predominance of additive gene action and a limited role of environment in the expression of these traits. Hence, these traits are fixable in nature and selection on the basis of these traits would be effective. Correlation studies indicated that number of branches/plot, number of pods/plant, net yield/plot, 100 seed weight and number of nodes/plant had significant and positive correlation with seed yield/plant.

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Section: Resultssupporting

confidence: 59%

Section: Resultssupporting

confidence: 59%

An Assessment of Genetic variability and association studies for yield and its components of soybean MAGIC population lines (Glycine max (L.) Merrill.)

M.¹,

Chauhan²,

R.³

et al. 2022

EEC

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Correlation and path analysis on yield and yield components in segregating populations

Mustofa

Zubaidah

Kuswantoro³

2021

INTERNATIONAL CONFERENCE ON LIFE SCIENCES AND TECHNOLOGY (ICoLiST 2020)

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Optimization of maize (Zea mays L) cultivation in post tin mining land

Lestari

Apriyadi

Hartina

2020

IOP Conf. Ser.: Earth Environ. Sci.

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Post tin mining land can be used as agriculture land with ameliorant application and plant spacing modification. This research aimed to study the ameliorant type and plant spacing that affects the growth and yield of maize in post tin mining land. This research was conducted in Post-Tin mining land, Bangka, from February to May 2020. This research used Factorial Randomized Block Design with two factors and three replications. The first factor was ameliorant application consisted of Topsoil (K1), N, P, K + Topsoil (K2), Block compost of cassava peel waste + Topsoil (K3). The second factor was plant spacing (30cm x80 cm (J1); 50 cmx60 cm (J2); 70 cmx40 cm(J3)). The result showed that ameliorant application gave a significant effect on the growth and yield of maize parameters in post tin mining land. Plant spacing gave the best effect on cop production/ha, dry seed weight, and dry seed production/ha. NPK + Topsoil ameliorant with 30 cm x 80 cm plant spacing gave the best interaction on leaves number, cop diameter, and dry seed weight of maize in post tin mining land.

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Correlation and Path Analysis in Soybean [Glycine max (L.) Merrill]

Cited by 3 publications

References 2 publications

An Assessment of Genetic variability and association studies for yield and its components of soybean MAGIC population lines (Glycine max (L.) Merrill.)

An Assessment of Genetic variability and association studies for yield and its components of soybean MAGIC population lines (Glycine max (L.) Merrill.)

Correlation and path analysis on yield and yield components in segregating populations

Optimization of maize (Zea mays L) cultivation in post tin mining land

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