scholarly journals Inter-relationship and path analysis of different traits of two line hybrid in rice (Oryza sativa L.)

2016 ◽  
Vol 8 (4) ◽  
pp. 2016-2020
Author(s):  
Pardeep Kumar ◽  
M. K. Nautiyal ◽  
Kuldeep Kumar

The present study was undertaken with the objective to determine the nature and magnitude of variability, degree of association between yield and it`s component characters and their direct and indirect effects on grain yield in rice. The experiment was conducted on rice in year 2013-14 at Borlaug Crop Research Center of G. B. Pant University of Agriculture and Technology, Pantnagar, Uttarakhand. All the traits had positive correlation to seed yield per plant of rice except days to flowering at genotypic level and at the phenotypic level. At phenotypic level panicle length (0.2145) and harvest index (0.4713) had highly significant level and positive correlation to seed yield per plant. Grain number per panicle (0.1550) and panicle number per plant (0.1398) showed positive and level of significant correlation with seed yield per plant. The days to flowering (-0.1879) have highly significant level with negative correlation to seed yield per plant. Path analysis showed the positive and direct effect on seed yield per plant at genotypic and phenotypic level for panicle number per plant (0.393 and 0.380 respectively), panicle length (0.236 and 0.198), grain number per panicle (0.646 and 0.112) and harvest index (0.443 and 0.448). While days to flowering (-0.175 and -0.167) and plant height (-0.037 and -0.008) had negative direct effect. The traits which showed positive correlation and positive direct effect on seed yield per plant can be used to increase seed yield for further breeding programs and may be given due importance in selection during rice breeding programme.

Genetika ◽  
2017 ◽  
Vol 49 (1) ◽  
pp. 273-284 ◽  
Author(s):  
Hossein Astereki ◽  
Peyman Sharifi ◽  
Masoumeh Pouresmael

Chickpea is the second most important pulse crop in the world after dry bean. The aim of this study was to estimate the correlation coefficients and path analysis between seed yield, morphological traits and yield components. Twenty five chickpea genotypes, including advanced lines and commercial varieties, were grown under dryland condition at Brojerd Agricultural Research Station (west of Iran) during two seasons (2012-2013 and 2013-2014). The field experiment was arranged in a randomized complete block design (RCBD) with four replications. Combined analysis of variance revealed that the studied genotypes differed significantly in seed yield, days to flowering, days to maturity, flowering period, canopy height, number of pods per plant, biological yield and harvest index. The correlation coefficients indicated that there were significant and positive correlations between seed yield and number of pods per plant and harvest index in two years. Path analysis indicated that days to flowering, days to maturity, canopy height and width, number of pods per plant and flowering period directly and indirectly affected seed yield. Therefore, this study suggested that chickpea improvement program could be based on these traits, especially number of pods per plant and canopy height, according to positive direct effect on seed yield over two years, as selection criteria.


Author(s):  
Garima Thakur ◽  
Satish Paul ◽  
Uttam Chandel ◽  
Ronika Thakur

Background: Seed yield is a very important trait for selection but shows low heritability and hence is difficult to improve. Since the productivity of linseed (Linum usitatissimum L.) in India as well as Himachal Pradesh is low in comparison to other major linseed growing countries and states, improvement in cultivars for grain yield is a must. Therefore, the present study was aimed for studying the character associations in linseed genotypes for seed yield over locations. Method: The experiment was conducted during rabi 2019-2020. The experimental material for the present investigation comprised of 52 linseed genotypes grown over three locations in Himachal Pradesh i.e. Linseed Experimental Farm, CSK HPKV, Palampur (1290 m amsl), Shivalik Agricultural Research and Extension Centre, Kangra (700 m amsl) and Hill Agricultural Research and Extension Centre, Dhaulakuan (468 m amsl). Randomized block design with three replications was used. Phenotypic and genotypic correlation coefficients were worked out as per the procedure outlined by Burton and De Vane (1953) and Johnson et al. (1955). Direct and indirect effects of component traits on grain yield were worked out using correlation coefficient of various traits as suggested by Wright (1921) and elaborated by Dewey and Lu (1959). Result: Correlation studies indicated highly significant positive correlation for seed yield with 1000 seed weight (0.965**) followed by harvest index (0.801**), secondary branches (0.585**) and a significant correlation with biological yield (0.269**). Seed yield exhibited a non-significant positive correlation with seeds per capsule. However, a negative significant correlation was observed for seed yield with days to 50 per cent flowering and number of primary branches. The path coefficient analysis indicated that 1000 seed weight exhibited maximum positive direct effect with seed yield (0.741) while others had a low direct effect. The significant positive correlation of number of secondary branches and harvest index with seed yield was mainly due to indirect effect via 1000 seed weight indicating that 1000 seed weight is the most important trait for the improvement of grain yield in linseed as per the present study.


Author(s):  
V.V. Singh ◽  
Laxman Prashad ◽  
Balbeer . ◽  
H.K. Sharma ◽  
M.L. Meena ◽  
...  

Background: Correlation analysis informs us about the relative importance of the breeding traits and quite useful for plant breeders to formulate their breeding and selection strategies. Path coefficient analysis splits the correlation coefficient into the measures of indirect and direct effect. It identifies the indirect and direct influence of different autonomous genotype on a dependent trait. Present study aimed to determine major seed contributing components affecting seed yield and also to know the relationship among these components. Methods: Present investigation was carried out on 147 advanced breeding lines to know the correlations and path coefficient for 12 yield and yield contributing traits. The material was evaluated in augmented block design with 07 blocks, each block having 21 lines. A set of three check varieties were repeated in each block. Observations were recorded on number of primary branches/plant, number of secondary branches/plant, plant height (cm), silique/plant, fruiting zone length (cm), main shoot length (cm), number of seeds/siliquae, siliquae length (cm), biological yield/plant (g), seed yield/plant (g), harvest index and test weight. Result: The seed yield per plant showed positive and significant correlation with primary branches per plant (0.273), secondary branches per plant (0.280), siliquae per plant (0.627), biological yield per plant (0.744), harvest index (0.188), test weight (0.212) and oil content (0.225). Biological yield per plant (0.5747) had maximum direct effect on seed yield per plant followed by siliquae per plant (0.2438), harvest index (0.127), oil content (0.118) and test weight. These characters have positive and significant association with seed yield per plant. The study thus indicated that biological yield per plant, siliquae per plant, harvest index and test weight are the important characters which should be considered in selection programme in Indian mustard.


Author(s):  
Anjani Kumar ◽  
D. N. Singh ◽  
Krishna Prasad ◽  
Avinash Pandey

This study performed to determine the correlation, their comparison and path coefficients of yield and yield contributing characters by using F2 (BPT-5204 /IR-64Drt1) their two parents separately and the joint parental populations. In this study, the computations for testing the significance of the difference between the 15 traits of different populations of rice determined from 324 F2, 9 IR-64Drt1 (P1), 9 BPT-5204 (P2) and 18 joint parental population. Results showed that the correlation of F2 indicated that the number of total tillers per plant, number of panicles per plant, plant height, panicle length, biomass, harvest index and yield per panicle were positive and significant association with yield per plant. Correlation of IR-64Drt1 stated that the plant height, panicle length, biomass and harvest index were positive and significant association with yield per plant. Correlation of BPT-5204 shown that the secondary branches per panicle and hundred-grain weight exhibited positive and significant association with yield per panicle. Correlation of the joint parent indicated that the plant height, panicle length, grain length, grain width, hundred-grain weight, biomass, harvest index and yield per panicle had exhibited positive and significant association with yield per plant. Path coefficient analysis indicated that harvest index had the highest direct positive effect (0.582) on yield per plant in the F2 population. However, the panicles per plant had the highest direct positive effect (1.481) on yield per plant IR-64Drt1 population. The total tillers per plant had the highest direct positive effect (1.821) on yield per plant in BPT-5204 population. In the joint population of BPT-5204 and IR-64Drt1, path analysis of yield components revealed that the biomass had the highest direct positive effect (0.658) on yield per plant. Information obtained in this study revealed that traits, the harvest index, biomass and panicles per plant are suggested as selection indices for grain yield improvement at segregating populations of rice.


Author(s):  
M. S. Nikam G. C. Shinde ◽  
V. R. Awari M. S. Shinde ◽  
N. S. Kute

The forty four promising sorghum genotypes were evaluated for variability, correlation and path analysis for yield and yield contributing characters, at Sorghum improvement Project, Mahatma Phule Krishi Vidyapeeth, Rahuri during Rabi-2019-20. High estimates of PCV and GCV were observed for traits no. of green leaves per plant at harvest, panicle length (cm), panicle width (cm), panicle weight (g), harvest index and grain yield per plant (g).High estimates of heritability along with high genetic advance were recorded for plant height (cm), no. of green leaves per plant at harvest, panicle length (cm), panicle width (cm), panicle weight (g), 1000 grain weight (g), dry fodder yield per plant (g), harvest index and grain yield per plant (g).Correlation studies revealed a positive and significant association of grain yield with plant height (cm), number of internodes per plant, number of green leaves per plant at harvest, panicle length (cm), panicle width (cm), panicle weight (g), 1000 grain weight (g), dry fodder yield per plant (g) and harvest index at both genotypic and phenotypic level. Harvest index, panicle weight, dry fodder yield per plant, days to maturity and no. of internodes per plant recorded high magnitudes of direct effects accompanied by highly significant correlation with the grain yield at genotypic level, indicating true and perfect relationship between them. Thus suggesting that selection for these traits viz., harvest index, panicle weight, dry fodder yield per plant, days to maturity and no. of internodes per plant will be highly rewarding for improving the grain yield per plant.


1970 ◽  
Vol 18 ◽  
pp. 1-8
Author(s):  
SK Yadav ◽  
BG Suresh ◽  
Praveen Pandey ◽  
Binod Kumar

Context: Direct selection based on crop yields is often a paradox in breeding programmes because yield is a complex polygenically inherited character, influenced by its component traits.   Objectives: The present research work was taken up to assess genetic variability, phenotypic and genotypic associations between various components of grain yield to provide basis for selection and yield improvement in rice.   Materials and Methods: Correlation coefficient and path association are used to find out the degree (strength) and direction of relationship between two or more variable and for fixing up the characters which are having decisive role in influencing the yield. Therefore, a field experiment was carried out to establish the extent of association between yield and yield components and others characters in rice. Analysis of variance revealed that significant amount of genetic variability was present in the entire characters studied.   Results: High heritability coupled with high to moderate genetic advance as % of mean was observed on plant height seed yield per plant, biological yield, harvest index, test weight and number of spikelets per panicle suggesting preponderance of additive gene action in the expression of these characters. The correlation coefficient between seed yield per plant and other quantitative attributing to yield showed that grain yield was significantly and positively associated with harvest index, number of tillers per hill, number of panicle per plant, panicle length, number of spikelet's per panicle and test weight at both genotypic and phenotypic levels. Path coefficient at genotypic level revealed that harvest index, biological yield, number of tillers per hill, panicle length, number of spikelets per panicle, plant height and test weight had direct positive effect on seed yield per hill, indicating these are the main contributors to yield.Conclusion: From the correlation and path study it may be concluded that harvest index, number of tillers per hill, panicle length, and number of spikelet per panicle and test weight are the most important characters that contributed directly to seed yield per hill. Thus a genotype with higher magnitude of these traits could be either selected from existing genotypes or evolved by breeding program for genetic improvement of yield in rice.   Key words: Rice; variability; heritability; agro-morphological traits; correlation; pathDOI: http://dx.doi.org/10.3329/jbs.v18i0.8767 JBS 2010; 18(0): 1-8


2014 ◽  
Vol 6 (3) ◽  
pp. 338-348
Author(s):  
Surapaneni SAIKUMAR ◽  
Akula SAIHARINI ◽  
Dass AYYAPPA ◽  
Guntupalli PADMAVATHI ◽  
Vinay V. SHENOY

Drought is a major constraint for rainfed lowland and upland rice productivity throughout world. A backcross inbred population derived from ‘Swarna’ and ‘WAB450-I-B-P-157-2-1’ (Oryza sativa L. x O. glaberrima) was evaluated under both irrigated and lowland drought stresses for yield and yield related traits across three different seasons. Significant differences were found among all the analyzed traits. Coefficients of variation were recorded relatively high for filled grains per panicle, spikelet fertility, test weight, harvest index and grain yield and low for panicle length under both conditions during the study interval. Broad sense heritability varied from 0.28 (panicle number) to 0.83 (plant height) under stress and 0.31 (test weight) to 0.86 (plant height) under control. However, heritability estimates for grain yield and harvest index were found to be similar under both conditions. Traits such as filled grains per panicle, spikelet fertility, harvest index and grain yield recorded higher values of both heritability, as well as genetic advance under both conditions, indicating the suitability of these traits as selection criteria to derive high yielding genotypes for drought prone regions. Harvest index exhibited maximum positive direct effect on grain yield under both the conditions; in addition, filled grains per panicle, spikelet fertility and biomass had positive direct effect on grain yield under both irrigated and lowland drought stresses state. Hence, for improving the rice yield under lowland drought ecology, a genotype should posses a large number of panicles per plant, filled grains per panicle, high spikelet fertility and maintains higher biomass and harvest index.


Helia ◽  
2015 ◽  
Vol 38 (63) ◽  
pp. 189-199 ◽  
Author(s):  
Milan Jocković ◽  
Siniša Jocić ◽  
Ana Marjanović-Jeromela ◽  
Mihajlo Ćirić ◽  
Petar Čanak ◽  
...  

AbstractIn breeding process it is important to know the extent of association between the traits that affect the yield. Objective of this study was to determine genotypic and phenotypic correlation and path coefficients in 50 sunflower hybrid combinations in order to identify research priorities in sunflower breeding. Relationships between seed yield and five bio-morphological traits in sunflower (oil content, protein content, 1,000-seed weight, head diameter and plant height) were studied. Head diameter had the highest correlation coefficient with seed yield, at phenotypic and genotypic level. Path analysis revealed that all evaluated traits had positive influence on seed yield at both, genotypic and phenotypic, levels. The highest direct effect on seed yield was found for head diameter, while protein content had the lowest direct effect on seed yield. Study has shown that the greatest improvement in sunflower seed yield can be achieved through selection on head diameter.


2021 ◽  
Vol 13 (6) ◽  
pp. 3229
Author(s):  
Mahmoud Gaballah ◽  
Hassan Hamad ◽  
Atif Bamagoos ◽  
Hesham Alharby ◽  
Sharif Ahmed ◽  
...  

Hybrid seed set on the female line depends primarily on its flowering synchronization with the restorer line (R), therefore, the sowing of male and female lines must be planned properly to achieve this. Field experiments on different sowing dates (May 1st, May 15th, and May 30th) of R lines (Giza 178R, Giza 179R, and Giza 181R) and cytoplasmic male sterile (CMS) lines (IR69625A, IR70368A, IR58025A, K17A, and G46A) were carried out at the farm of Sakha Agricultural Research Station, Kafr El-Sheikh, Egypt during 2019 and 2020 to study the effect of sowing dates on flowering synchronization in hybrid rice. The results indicated that the synchronization of flowering between CMS lines and R lines has highly significant effects on the days to 50% heading, number of leaves, effective accumulated temperature (EAT), plant height, panicle exertion percentage, panicle length, number of fertile panicles, panicle weight, seed set percentage, harvest index and seed yield of hybrid rice. The highest seed yield (1.72 and 1.41 t ha−1, respectively in 2019 and 2020) was recorded from the sowing date May 1st and the hybrid combination of Giza 178R × IR58025A (2.06 and 2.12 t ha−1 in 2019 and 2020, respectively). The grain yield had a significant and highly significant positive correlation with the plant height (cm), panicle exertion percentage, panicle length, number of panicles plant−1, panicle weight, seed set percentage, and harvest index. In Egypt, May 1st is the best time for the synchronization of hybrid rice lines and a combination of Giza 178R × IR58025A may be recommended for better performance.


Author(s):  
Sameena Begum ◽  
B. Srinivas ◽  
V. Ram Reddy ◽  
Ch. Aruna Kumari

The present investigation was carried out to understand the interrelationship and degree of dependence of grain yield on its components and gall midge incidence and to elucidate their relative importance. The experiment was conducted using 42 rice hybrids developed by crossing 6 CMS lines and seven testers in Line X Tester mating design, their parents and four checks. Observations were recorded on gall midge incidence, grain yield and fourteen component characters. Correlation coefficient analysis suggested that grain yield per plant had highly significant and positive association with panicle length (rp = 0.4600**, rg = 0.5545**) followed by number of grains per panicle (rp = 0.4219**, rg = 0.5125**) and number of productive tillers per plant (rp = 0.4006**, rg = 0.4942**) and negative non significant association with gall midge incidence (rp =-0.1154, rg =-0.1430). Panicle length had the highest positive direct effect (0.9688) followed by the number of grains per panicle (0.5748). Gall midge incidence showed a negative direct effect at the phenotypic level and a positive direct effect at the genotypic level on the grain yield per plant. Further, it showed indirect negative effects via plant height, number of productive tillers per plant, number of grains per panicle, spikelet fertility, hulling percentage, milling percentage, kernel length and kernel breadth as revealed from path analysis. The result of multiple linear regression exhibited that only the number of productive tillers per plant and the number of grains per panicle contributed significantly towards grain yield per plant. The step-wise regression analysis revealed that the panicle length, number of grains per panicle and number of productive tillers per plant were the most important characters having R=0.6505 and thus, could explain 42.31% of the total variation of grain yield. Gall midge incidence contributed to only 0.95% of the variation for grain yield, which might be due to the low incidence or resistance of the hybrids to the gall midge.


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