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 ◽  
...  

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.

Author(s):  
Ramya Rathod ◽  
B. Soundharya ◽  
Firdoz Shahana ◽  
P. Jalender Naik ◽  
Y. Swathi

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.


2018 ◽  
Vol 10 (1) ◽  
pp. 24-29
Author(s):  
Girnam Singh ◽  
Pradeep Kumar ◽  
Ravi Kumar ◽  
L. K. Gangwar

The present investigation was carried out during 2011-12 in a randomized block design (RBD) with 35 diverse wheat genotypes to assess the genetic diversity for various morphological and quality traits. The analysis of variance for grain yield and its contributing components namely days to 50% flowering, days to maturity, productive tillers, plant height, spike length, spikelets pet spike, grains per spikelet, biological yield, harvest index, 1000 grain weight, grain yield and gluten content showed highly significant differences (at <1% level of significance) among the genotypes under present study. High heritability along with high genetic advance and high phenotypic coefficient of variation (PCV) and genotypic coefficient of variation (GCV) for grain yield (g), biological yield (g), harvest index (%), spike length (cm) and 1000 grain weight (g) indicated substantial contribution of additive gene action in the expression and thus selection would be effective for genetic improvement of these traits for improving grain yield in wheat. On the basis of multivariate analysis, 35 genotypes were grouped into ‘6’ clusters based on genetic divergence (D2 ) value. The compositions of clusters revealed that the Cluster IV contained the highest number of genotypes (9) followed by Cluster II (8), Cluster VI (8) and Cluster III (7). The highest inter cluster values were recorded between cluster III and V (8357.19) followed by cluster IV and V (7513.88), cluster IV and VI (6009.44) and cluster III and VI (5530.40) exhibiting wide genetic diversity. Among different traits, biological yield (32.12%), productive tillers (28.74%), harvest index (26.71%), plant height (24.20%), grain yield (19.23%) and grains per spikelets (14.89%) had maximum contribution to total genetic divergence, therefore may be used as selection parameters in transgressive segregants. Selection of genotypes from the clusters may be used as potential donors for further hybridization programme to develop genotypes with high yield potential in wheat crop.


2020 ◽  
Vol 2020 ◽  
pp. 1-7 ◽  
Author(s):  
Jemal Aman ◽  
Kassahun Bantte ◽  
Sentayehu Alamerew ◽  
Desta Berhe Sbhatu

Maize is one of the most important staple food crops in many parts of Ethiopia. However, it is not used extensively due to its poor nutritional quality and low productivity. It lacks two essential amino acids, namely, lysine and tryptophan. Knowledge of the interrelationships of grain yield and its various causal (contributory) components is very helpful to improve the efficiency of breeding programs using appropriate selection indices. This article reports the findings of a study conducted to determine the nature of relationships of grain yield and its contributing components and to identify those components with significant effects on yield with the intention of using them as selection criteria using path coefficient analysis (PCA). Therefore, PCA has shown that yield per hectare had a significant and positive phenotypic correlation with plant height, ear height, number of kernels per row, and 100-grain weight. Moreover, PCA had a significant and positive genotypic correlation with days to 50% tasseling, plant height, ear height, and 100-grain weight. The highest direct positive effect on yield per hectare was exhibited by ear height. The findings of this study showed that most genotypes are early maturing and are suitable for areas with short rainy seasons and prone to drought.


2019 ◽  
Vol 56 (4) ◽  
pp. 368-374
Author(s):  
Kumar Vaibhav ◽  
Satyendra ◽  
Anand Kumar ◽  
Suresh Prasad Singh ◽  
Mankesh Kumar

The aim of backcross breeding is the introgression of a certain trait of interest in a popular variety from a suitable donor variety. Morphological characterization of backcross derived line is a crucial step in backcross breeding programme. Present investigation was framed for the morphological characterization of advance backcross population, developed to introgress semi-dwarf and early maturing traits of Rajendra Sweta and BPT5204 into the background of tall, late maturing scented Katarni rice. The results indicated a significant decrease in the plant height and days of 50 % flowering in the backcross derived lines with respect to Katarni rice. Higher values of phenotypic coefficient of variation (PCV) than the genotypic coefficient of variation (GCV) for all character indicated environmental influence in the development of all characters. High heritability with high genetic advance as percent of mean was observed for 1000 grain weight and plant height. Highly significant and positive correlation with yield per plant was exhibited by traits like 1000 grain weight and leaf aroma. Result of path coefficient analysis indicated direct positive effect of characters like L/B ratio, kernel length and 1000 grain weight on grain yield per plant.


2017 ◽  
Vol 4 (03) ◽  
Author(s):  
PUNIT KUMAR ◽  
VICHITRA KUMAR ARYA ◽  
PRADEEP KUMAR ◽  
LOKENDRA KUMAR ◽  
JOGENDRA SINGH

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.


Author(s):  
V. Nirubana ◽  
R. Ravikesavan ◽  
K. Ganesamurthy

Background: Kodo millet is an important drought tolerant crop and has high nutritional values, dietary fiber and antioxidant properties. It has considerable production potential in marginal and low fertility soils under diverse environmental conditions. Considering the importance of the crop, it is necessary to improve the nutritional quality along with grain yield of the crop. With this background, the investigation was aimed to study the correlation and path coefficient analysis which helps to identify the promising traits for yield and quality improvement. Methods: One hundred and three kodo millet germplasm lines were evaluated for 13 morpho-agronomic and two grain nutritional traits. The crop was raised in randomized block design to select the promising genotypes and to study the association among the traits and the magnitude of direct and indirect effects for fifteen quantitative traits. Result: Based on the overall mean performance the significant genotypes were identified and found wide range of variability for different traits. Character association studies indicated that days to first flowering, days to 50 per cent flowering, plant height, number of productive tillers, peduncle length, inflorescence length, length of the longest raceme and thumb length were significantly positive association with grain yield per plant. Path coefficient analysis revealed that inflorescence length, plant height, length of the longest raceme, flag leaf blade length and number of productive tillers exhibited high direct positive effect on grain yield. Therefore, giving importance of these traits during selections may be useful for developing nutritionally superior high yielding kodo millet genotypes.


2018 ◽  
Vol 29 (3) ◽  
pp. 213-220
Author(s):  
S Kazi ◽  
SU Bhuiya ◽  
AK Hasan ◽  
RR Rajib ◽  
ABMR Rahman ◽  
...  

The experiment was at the Agronomy Field Laboratory, Bangladesh Agricultural University, Mymensingh–2202 during late Rabi season (December-March) of 2015. It was two factorial experiment (1) irrigation level and (2) nitrogen rate. Irrigation significantly influenced on yield and yield contributing characters except harvest index. The highest plant height (79.69cm), maximum number of total tillers plant-1 (4.725), number of grains spike-1 (40.61), spike length (11.80cm), 1000 grain weight (28.67g), grain yield (3.227 t ha-1), harvest index (41.26%) were obtained by mulching treatment. Nitrogen rate significantly influenced the yield and yield contributing characters. The highest plant height (80.37cm), maximum number of total tillers plant-1 (5.124), number of grains spike-1 (40.85), spike length (10.37cm), 1000 grain weight (31.86g), grain yield (3.792 t ha-1), harvest index (41.69%) were obtained by the application of 180 kg N ha-1. The combined effect of Irrigation and nitrogen significantly interacted on yield and yield contributing characters. The highest plant height (83.44cm), number of total tillers plant-1 (5.66), number of grains spike-1 (41.60), 1000 grain weight (36.66g), grain yield (4.32 t ha-1) and harvest index (47.36%) were obtained by application of 180 kg N ha-1 with mulching. The present study revealed that high dose of nitrogen 180 kg ha-1 and mulching practice can compensate low production of wheat even at late sowing. Progressive Agriculture 29 (3): 213-220, 2018


2001 ◽  
Vol 49 (1) ◽  
pp. 103-105 ◽  
Author(s):  
A. M. Tawaha ◽  
M. A. Turk

Field experiments were conducted during the winter seasons of 1998–1999 and 1999–2000 at Houfa in northern Jordan, to study the effect of the date and rate of sowing on the yield and yield components of narbon vetch (Vicia narbonensis L.). Progressive delays in sowing beyond 1 st January led to yield reductions of 11.1 and 17.9 at successive 15-day intervals. Plant height, pods stem –1, stems m –2 and 1000-grain weight followed the same trend as the yield. Grain yield was not significantly affected by the sowing rate.


2020 ◽  
Vol 7 (4) ◽  
pp. 23-28
Author(s):  
Angela Oliveira Silva ◽  
Wilian Henrique Diniz Buso

One of the main problems faced in corn cultivation, especially in Cerrado regions, is the deficiency of micronutrients. Among the micronutrients essential for the development of plants, boron (B) stands out for participating in a series of physiological processes. Based on this, the present work aimed to evaluate the performance of corn under fertilization with different sources and doses of boron. The randomized block design in a 4x3 factorial scheme was used. Four boron doses (0, 1, 2, and 3 kg ha-1) and three nutrient sources (boric acid, borax, and ulexite), applied in topdressing, were evaluated. Plant height (cm), stem diameter (mm), first ear insertion height (m), ear length (cm), ear diameter (mm), number of rows per ear, number of grains per row, 1000-grain weight (g), and grain yield (kg ha-1) were evaluated. It was concluded that the boron sources and doses used did not influence the results of plant height, first ear insertion height, number of rows per ear, and grain yield. The three doses evaluated provided increases in stem diameter, with a dose of 2.08 kg ha-1 being the one with the highest average. The application of borax and ulexite results in higher values of ear diameter, number of grains per row, and 1000-grain weight. The dose of 1.74 kg ha-1 of boron provides the highest 1000-grain weight.


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.


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