scholarly journals Selection Criteria for Identification of High Yielding Rice (Oryza sativa L.) Genotypes under Aerobic Cultivation

2020 ◽  
pp. 102-109
Author(s):  
Ramya Rathod ◽  
B. Soundharya ◽  
Firdoz Shahana ◽  
P. Jalender Naik ◽  
Y. Swathi
Keyword(s):  
Grain Yield ◽  
Path Analysis ◽  
Oryza Sativa L ◽  
Grain Weight ◽  
Spikelet Fertility ◽  
Direct Selection ◽  
Biological Yield ◽  
Correlation And Path Analysis ◽  
Positive Direct ◽  
1000 Grain Weight

Ten rice genotypes were evaluated to study the genetic variability, correlation and path analysis under aerobic conditions for selection of high yielding genotypes. The experiment is carried out in RCBD with 3 replications and the data is analysed in SPAR 2.0, Past 4.01 and OPSTAT for variability, correlation and path analysis respectively. The phenotypic and genotypic coefficients of variation were high for the number of productive tillers per plant, the number of filled grains per panicle, 1000-grain weight, biological yield and grain yield indicating the possibility of genetic improvement through direct selection for these traits. The magnitude of difference between PCV and GCV was less for the traits indicating little influence of environment. High heritability coupled with high genetic advance was recorded for the number of productive tillers per plant, the number of filled grains per panicle, 1000-grain weight, spikelet fertility, biological yield and grain yield indicating a preponderance of additive gene action, which provide excellent scope for further improvement by selection. Significant positive association of grain yield with number of productive tillers per plant, panicle length, number of filled grains per panicle, 1000-grain weight, spikelet fertility and biological yield was observed. Path analysis revealed the traits, number of filled grains per panicle exerted highest positive direct effect on grain yield followed by 1000-gain weight and number of productive tillers per plant. Thus, these traits which contribute to the grain yield under aerobic condition could be exploited for further breeding programme.

Correlation and path analysis of morpho-physiological and yield traits in boro rice (Oryza sativa L.)

2015 ◽  
Vol 35 (4) ◽  
Author(s):  
Shantanu Das ◽  
Debojit Sarma
Keyword(s):  
Grain Yield ◽  
Harvest Index ◽  
Direct Selection ◽  
Phenotypic Correlation ◽  
Path Coefficient ◽  
Yield Traits ◽  
Biological Yield ◽  
Rice Genotypes ◽  
Correlation And Path Analysis ◽  
Positive Direct

Thirty rice genotypes of local and exotic origin were analyzed to ascertain the genotypic and phenotypic correlation among 21 morpho-physiological and yield traits and their direct/ indirect contribution to grain yield under <italic>boro</italic> season. The result revealed that grain yield per plant had significant positive correlation with biological yield (0.927**, 0.766**), harvest index (0.748**, 0.658**), days to first flowering (0.459*, 0.377*), panicle length (0.501**, 0.445*), grains per panicle (0.576**, 0.484**) and 1000 grain weight (0.573**, 0.460*) at both genotypic and phenotypic levels. Path coefficient analyses at both genotypic and phenotypic levels revealed high positive direct effect of biological yield (0.7181) and harvest index (0.6382) on grain yield per plant. Thus direct selection for grain yield per plant and indirect selection through these characters would be effective to improve yield in <italic>boro</italic> rice.

scholarly journals CHARACTER ASSOCIATION IN F4 GENERATION OF RICE (Oryza sativa L.)

2015 ◽  
Vol 26 (2) ◽  
pp. 39-44 ◽  
Author(s):  
P. K. Rai ◽  
U. K. Sarker ◽  
P. C. Roy ◽  
A. K. M. S. Islam
Keyword(s):  
Grain Yield ◽  
Oryza Sativa L ◽  
Residual Effect ◽  
Grain Weight ◽  
Direct Selection ◽  
Panicle Length ◽  
Spikelet Sterility ◽  
Genetic Components ◽  
1000 Grain Weight ◽  
Hill Number

Twenty five rice genotypes were used to study the genetic components, correlation and path coefficients during Aman season of 2011. Thirteen characters were studied to find out the suitable traits for the improvement of rice yield. Among these characters considerable correlation were observed. Correlation values of grain yield per square meter with plant height, number of tillers per hill, number of panicles per hill, panicle length, number of primary branches, number of filled grain per panicle, spikelet sterility (%), 1000 grain weight and days to flowering revealed that selection based on this traits could significantly be improved the grain yield of rice. Number of tillers per hill, number of panicles per hill, panicle length, number of filled grains per panicle, 1000-grain weight exhibited high direct effect coupled with significant positive correlation on grain yield indicating selection on the basis of these traits would enhanced yield potentiality of rice. The residual effect was found 0.179 which indicated that 82.10% of the variability was accounted for 13 yield and yield contributing traits included in the present study. Rest 17.90% variability might be controlled by other yield contributed traits that was not included in the present investigation. So direct selection based on these traits would be effective for improvement of these F4 materials

scholarly journals Studies on Correlation and Path Coefficient Analysis in Hybrid Rice (Oryza sativa L.) for Yield and Quality Traits

2021 ◽  
Vol 12 (5) ◽  
pp. 496-505
Author(s):  
M. Vennela ◽  
◽  
B. Srinivas ◽  
V. Ram Reddy ◽  
N. Balram ◽  
...  
Keyword(s):  
Grain Yield ◽  
Path Analysis ◽  
Plant Height ◽  
Grain Weight ◽  
Spikelet Fertility ◽  
Path Coefficient ◽  
Quality Traits ◽  
Path Coefficient Analysis ◽  
Kernel Length ◽  
1000 Grain Weight

The present investigation was carried out at Regional Agricultural Research Station, Polasa, Jagtial, Telangana state, India to study the correlation and path coefficient analysis towards yield, physical and chemical quality traits in 46 genotypes including two checks in Randomized Block Design with two replications during kharif, october, 2019. Association of yield and yield components and among grain yield characters makes us to understand their relationship towards selecting a high yielding and good quality varieties. The result from the study revealed that all the nineteen characters studied has shown a great range of variation for correlation and path analysis. The character association studies in this experiment revealed that the trait grain yield plant-1 had showed significant positive correlation with plant height, spikelet fertility, 1000 grain weight, milling %, hulling %, kernel length and kernel breadth whereas it showed negative and non-significant association with days to 50% flowering. The path analysis studies revealed that kernel length was the major contributor for grain yield plant-1 followed by plant height, spikelet fertility, number of grains per panicle, 1000 grain weight, milling %, gel consistency, amylose content and alkali spreading value. These characters showed direct positive effects for grain yield plant-1. From the study it can be concluded that the above characters can be used directly as the selection criteria in any rice yield improvement breeding programmes.

Character association and path coefficient analysis in wheat (Triticum aestivum L.)

2017 ◽  
Vol 51 (03) ◽  
Author(s):  
Vichitra Kumar Arya ◽  
Jogendra Singh ◽  
Lokendra Kumar ◽  
Amit Kumar Sharma ◽  
Rajendra Kumar ◽  
...  
Keyword(s):  
Grain Yield ◽  
Plant Height ◽  
Harvest Index ◽  
Indirect Selection ◽  
Grain Weight ◽  
Genetic Advance ◽  
Biological Yield ◽  
Positive Direct ◽  
1000 Grain Weight ◽  
Plant Plant

<span>Forty nine genotypes of wheat were evaluated for 12 quantitative and one quality traits during 2010-11. The experiment was conducted in randomized complete block design with three replications at Crop Research Centre, Sardar Vallabhbhai Patel University of Agriculture and Technology, Meerut. The mean, range, genotypic and phenotypic coefficient of variation, heritability in broad sense, genetic advance correlation and path analysis were analyzed. Plant height, number of productive tillers per plant, spike length, 1000-grain weight, biological yield per plant and harvest index were significant and positive correlated with grain yield per plant. The phenotypic and genotypic path coefficients exhibited high positive direct contribution of number of productive tillers per plant, plant height, harvest index and 1000-grain weight towards grain yield.The positive indirect effect of plant height on grain yield was registered via days to maturity, number of spikelets per spike, 1000-grain weight and biological yield per plant. Number of productive tillers per plant revealed contribution on grain yield via number of grains per spike, 1000 grain weight, biological yield per plant and harvest index revealing that indirect selection of these characters would be effective in improving grain yield per plant. Higher genotypic coefficient of variance along with high heritability and genetic advance for grain yield per plant, plant height, number of spikelets per spike, number of grains per spike and 1000-grain weight would also be of great use for indirect selection for improvement in yield per plant. </span>

scholarly journals Some Genetic Parameters and Path Coefficient of Three-Way Crosses in Maize

2021 ◽  
Vol 910 (1) ◽  
pp. 012099
Author(s):  
Banan Hassan Hadi ◽  
Wajeeha Abed Hassan ◽  
Majid S.H. Hamdalla
Keyword(s):  
Grain Yield ◽  
Path Analysis ◽  
Leaf Area ◽  
Correlation Coefficients ◽  
Direct Selection ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Correlation And Path Analysis ◽  
Positive Direct ◽  
Positive Significant Correlation

Abstract Correlation and path coefficient analysis were worked out for ten morphological traits in 30 three-way crosses of maize. Phenotypic and genotypic correlation analysis indicated that ear length; row numbers per ear, grain numbers per row, leaf area and leaves numbers had a positive significant correlation with grain yield per plant. Further partitioning of correlation coefficients into direct and indirect effects showed that traits days to silking, row numbers per row and leaves numbers had a positive direct effect on grain yield per plant. The traits ear length, grain numbers per row and leaf area had a maximum total effect on grain yield. Furthermore, PCA analysis has gave interested results and it supported the results of correlation and path analysis. The correlation and path analysis obviously indicated that direct selection based on these attributes may be useful in raising grain yield in maize.

Study onGenetic Variability, Heritability and Genetic Advance for Seed Yield and Component Traits in Rice

2017 ◽  
Vol 4 (03) ◽  
Author(s):  
PUNIT KUMAR ◽  
VICHITRA KUMAR ARYA ◽  
PRADEEP KUMAR ◽  
LOKENDRA KUMAR ◽  
JOGENDRA SINGH
Keyword(s):  
Grain Yield ◽  
Plant Height ◽  
Seed Yield ◽  
Flag Leaf ◽  
Grain Weight ◽  
Major Influence ◽  
Genetic Advance ◽  
Component Traits ◽  
Biological Yield ◽  
1000 Grain Weight

A study on genetic variability, heritability and genetic advance for seed yield and component traits was made in 40 genotypes of riceduring kharif 2011-2012 at SHIATS, Allahabad. The analysis of variance showed highly significant differences among the treatments for all the 13 traits under study.The genotypes namely CN 1446-5-8-17-1-MLD4 and CR 2706 recorded highest mean performance for panicles per hill and grain yield. The highest genotypic and phenotypic variances (VG and VP) were recorded for spikelets per panicle (3595.78 and 3642.41) followed by biological yield (355.72 and 360.62) and plant height (231.48 and 234.35).High heritability (broad sense) coupled with high genetic advance was observed for plant height, flag leaf length, panicles per hill, tillers per hill, days to maturity, spikelet’s per panicle, biological yield, harvest index, 1000 grain weight and grain yield, indicating that selection will be effective based on these traits because they were under the influence of additive and additive x additive type of gene action. Highest coefficient of variation (PCV and GCV) was recorded for tillers per hill (18.42% and 17.23%), panicle per hill (19.76 % and 18.68%), spikelet’s per panicle (34.30 and34.07 %), biological yield (28.31 % and 28.12 %), 1000 grain weight (15.57 % and 15 31 %) and grain yield (46.66% and 23.54 %), indicating that these traits are under the major influence of genetic control, therefore the above mentioned traits contributed maximum to higher grain yield compared to other traits, indicating grain yield improvement through the associated traits.

scholarly journals Correlation and path analysis of yield and its components and plant traits in wheat

2004 ◽  
Vol 34 (6) ◽  
pp. 1701-1708 ◽  
Author(s):  
Lauro Akio Okuyama ◽  
Luiz Carlos Federizzi ◽  
José Fernandes Barbosa Neto
Keyword(s):  
Grain Yield ◽  
Path Analysis ◽  
Plant Traits ◽  
Flag Leaf ◽  
Phenotypic Correlation ◽  
Path Coefficient ◽  
Above Ground Biomass ◽  
Ground Biomass ◽  
Correlation And Path Analysis ◽  
Positive Direct

This study was aimed to characterize yield components and plant traits related to grain yield. Correlation and path analysis were carried out in wheat genotypes grown under irrigated and non-irrigated field conditions. In the path coefficient analysis, grain yield represented the dependent variable and the number of spikes m-2, number of grains spike-1, kernel weight, days to anthesis, above-ground biomass m-2 and plant height were the independent ones. In both years, periods without rain occurred from early milk to grain ripening and from flag leaf sheath opening to grain ripening for first and second sowing dates, respectively. Character associations were similar in both water regimes. Grain yield showed positive phenotypic correlation with above-ground biomass, number of spikes m-2 and number of grains per spike. Path analysis revealed positive direct effect and moderate correlation of number of spike m-2 and number of grains per spike with grain yield. These results indicated that the number of spikes m-2 and the number of grains per spike followed by the above-ground biomass were the traits related to higher grain yield, under irrigated and late season water stress conditions.

scholarly journals Comparative study of different organic mulches for increased wheat productivity district Faisalabad, Punjab, Pakistan

2021 ◽  
Vol 9 (3) ◽  
Author(s):  
Ahmad Raza ◽  
Muhammad Nawaz ◽  
Muhammad U. Chattha ◽  
Imran Khan ◽  
Muhammad B. Chattha ◽  
...  
Keyword(s):  
Grain Yield ◽  
Crop Growth ◽  
Grain Weight ◽  
Growth And Yield ◽  
Straw Mulch ◽  
Nitrogen Levels ◽  
Major Threat ◽  
Biological Yield ◽  
1000 Grain Weight ◽  
Sorghum Straw

Weeds are major threat to global wheat production and cause serious threat to food security. Likewise, water scarcity is also a major threat to food production and its intensity is continuously soaring up across the globe. Organic mulches have potential to reduce weeds growth and conserve the soil moisture thus ensures the better crop growth and yield. Therefore, present study was conducted to compare the performance of different organic mulches in improving wheat growth and productivity. The study was comprised of different organic mulches; M1= No mulch (control) M2= maize straw mulch, M3= wheat straw mulch, M4= sorghum straw mulch and M5= rice straw mulch and three nitrogen levels N1 = 90 kg, N2 = 120 kg and N3= 150 kg/ha. The results indicated that both organic mulches and N rates had significant impact on growth, and yield traits. The maximum leaf area index (LAI), crop growth rate (CGR), productive tillers (307 m-2), grains/spike (46.22), 1000 grain weight (42.33 g) biological yield (13.76 t/ha) and grain yield 4.75 t/ha was obtained with sorghum straw mulch and minimum productive tillers (255.33 m-2), grains/spike (36.22), biological yield (11.46 t/ha) and grain yield (3.59 t/ha) was recorded in no mulch (control). Among nitrogen levels maximum productive tillers (290.6 m-2), grains/spike (42.80), 1000 grain weight (40.65 g), biological yield (13.44 t/ha) and grain yield (4.32 t/ha) was obtained with 150 kg/ha N and minimum productive tillers (274 m-2), grains/spike (38.13), 1000 grain weight (36.94 g) biological yield (11.98 t/ha) and grain yield (3.90 t/ha) was obtained with 90 N kg/ha. Thus, farmers can use sorghum straw mulch and N (150 kg ha-1) to improve the wheat productivity. However, farmers must be educated by government institute and adoptive research farms in order to understand and adaption of this approach.

scholarly journals Character Association and Path Analysis for Yield Components and Biochemical Traits in Maize (Zea mays L.) Genotypes

2021 ◽  
Author(s):  
Prabhat Kumar Singh ◽  
B. Sushma ◽  
Nidhi Kumari
Keyword(s):  
Grain Yield ◽  
Block Design ◽  
Standard Procedure ◽  
Grain Weight ◽  
Direct Selection ◽  
Path Coefficient ◽  
Biochemical Traits ◽  
Internodal Length ◽  
Selection For ◽  
Positive Direct

Background: Grain yield is a complex character so direct selection for yield as such can be misleading. Keeping in view, the present study aimed to assess the path coefficient analysis with correlation coefficient technique to establish the direct and indirect relationship between the yield and its component. Methods: The present investigation carried out during kharif 2019 at Centurion University of Technology and Management, Odisha in randomized complete block design with 3 replication involving 20 maize genotypes. Data were collected from five randomly selected plnts on 20 agromorphic and biochemical traits. All the biochemical analysis estimated from leaf sample following standard procedure. Result: The traits shelled grain weight, cob diameter, number of grains per cob and anthesis silking interval were found to possess significant association in disirable direction with five ear weight at both genotypic and phenotypic levels. None of the biochemical trairts establishing significant positive association with yield. Highest positive direct effect on 5 ear weight was noticed by shelled grain weight (1.108) followed by phenols (0.115), internodal length (0.106) and days to 50 percent anthesis (0.102) indicating that the selection for these characters were likely to bring about an overall improvement in grain yield directly.

scholarly journals Genetic Variability, Correlation and Path Analysis Studies in Rabi Sorghum (Sorghum bicolour (L.) Moench) Genotypes

2021 ◽  
Vol 10 (10) ◽  
pp. 185-192
Author(s):  
M. S. Nikam G. C. Shinde ◽  
V. R. Awari M. S. Shinde ◽  
N. S. Kute
Keyword(s):  
Grain Yield ◽  
Path Analysis ◽  
Harvest Index ◽  
Panicle Length ◽  
Green Leaves ◽  
Days To Maturity ◽  
Fodder Yield ◽  
Correlation And Path Analysis ◽  
1000 Grain Weight ◽  
Panicle Weight

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.

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