Highest Direct Effect Research Articles

Comparison of variability in early segregating generations of Indian Mustard [Brassica juncea (L.) Czern & Coss.] crosses

Eight parents and the 28 crosses of Indian Mustard (Brassica juncea (L.) Czern & Coss.) in two segregating generations, viz., F2 and F3 were studied for their genetic variability during the rabi seasons of 2020-21 and 2021-22, respectively. Observations were recorded for six morphological characters such as plant height (cm), primary branches per plant, secondary branches per plant, siliquae per plant, 1000 seed weight (g) and seed yield per plant (g). The PCV was found to be greater than the GCV and the difference between them was high in all the characters in both F2 and F3 generations. Most of the characters revealed a medium range of GCV and PCV. Moderate heritability was expressed by all the characters except primary branches per plant in F3 generation. The Genetic Advance as a percentage of Mean (GAM) was higher in most characters except in plant height. The character plant height was found to be positively correlated with seed yield per plant in both F2 and F3 generations, with secondary branches per plant in the F3 generation and negatively correlated with primary branches per plant in F3 generation. A high direct effect on seed yield per plant was exhibited by plant height and 1000 seed weight in both F2 and F3 generations and by Secondary branches per plant in the F2 generation and Siliquae per plant in the F3 generation. Keywords: Mustard, Genetic variability, Heritability, Correlation, Path analysis, Box plot, Segregating generation

Analysis of variability and correlations among different forage traits in guar (Cyamopsis tetragonoloba L.Taub.)

The present study was conducted with 15 genotypes at experimental area of Punjab Agricultural University, Ludhiana during Kharif 2021 with an objective to assess the variability, correlations and path coefficients among different forage and quality traits. The traits like leaf stem ratio followed by number of branches per plant, stem girth, number of leaves per plant, dry matter yield and green fodder yield exhibited high PCVand GCVvalues. High heritability (> 90%) was observed for plant height, number of branches per plant, number of leaves per plant, stem girth, days to flowering and leaf stem ratio while more than 85% heritability was observed for green fodder yield. Higher genetic advance was observed for leaf stem ratio (48.9%) followed by number of branches per plant (35.9%), stem girth (32.1%) and number of leaves per plant (25.3%). Traits like plant height (0.42), number of branches per plant (0.75), stem girth (0.61) had significant positive correlation with green fodder yield. High positive direct effects were observed for number of branches per plant (0.890), acid detergent fiber (0.620), Leaf stem ratio (0.514), dry matter yield (0.508) and number of leaves (0.419).The results revealed that traits like number of leaves per plant, leaf stem ratio and number of branches per plant are the main forage yield components which can be improved through selection. Keywords: Variability, Correlation, Path coefficients, Green fodder, Guar

Estimation of genetic variability, correlation and path analysis in elite rice genotypes (Oryza sativa L.)

A trial was carried out to explore the variability and correlation among thirty five rice (Oryza sativa L.) germplasm for fifteen characters, during kharif 2017-18 at Bihar Agricultural University, Sabour, (Bihar). Analysis of variance revealed significant differences among all the genotypes and for all fifteen characters, which reflects that considerable amount of variability, were present in the genotypes. Two genotypes LPD104-B-B-1-8-2-1-1and RP5124-11-6-2 were identified as the superior genotypes for yield. The highest magnitude of genotypic coefficient of variation was recorded for length breadth ratio of rice grain, however highest phenotypic coefficients of variation were recorded for grain yield per plant followed by kernel length. High heritability coupled with high genetic advance as per cent mean was observed for kernel length and length breadth ratio. In this experiment grain yield per plant had positive and significant association with biological yield per plant, days to 50 per cent flowering, days to maturity, while remaining characters had non-significant association with yield. Path coefficient analysis revealed that the biological yield per plant, harvest index and kernel length had high positive direct effects on grain yield per plant indicating true relationship of these characters with grain yield. Therefore, these traits could be considered in rice improvement programme.

Karakteristik Agronomi Tanaman Kapas (Gossypium sp.) dan Pengaruhnya terhadap Produksi Kapas Menggunakan Analisis Lintas

The cotton plant is a fiber plant that is commonly used as a raw material for textiles, beauty, and health products. To increase cotton production, the development of superior varieties using plant breeding methods in cross-analysis is necessary. The cross-analysis method is used to determine the agronomic traits that affect cotton production, by selecting yield through several other characteristics related to yield. The aim of this study was to identify which agronomic characters can be used as selection criteria to increase cotton production using cross-analysis. The research was conducted at Politeknik Negeri Jember, and included 12 independent variables and one response variable, namely cotton production. The method used in this study was to perform correlation analysis, cross-analysis, calculate direct and residual contributions, and select agronomic characters that can be used as selection criteria. The results showed that the number of fruit characters had the highest correlation with cotton production (RX9Y = 0.835). Cross-analysis was carried out, and the highest direct effect was found between the number of fruit characters and cotton production (PX9Y = 0.971). The highest direct contribution was found in the character of the number of fruit, which had a total contribution of 98.321% and residue of 1.679%. Therefore, the agronomic character that can be used as a direct selection criterion is the number of fruits.

Correlation and Path Coefficient Analysis for Yield and Its Related Traits in Buckwheat (Fagopyrum esculentum Moench)

An experiment was carried out to study the correlation and path analysis in 40 buckwheat genotypes during Rabi, 2021-2022 at the Department of Genetics and Plant Breeding, SHIATS, Allahabad in Randomized BlºCk Design with three replications to analyze correlation and path Analysis. Analysis of variance showed significant difference for seed yield and its components indicating presence of large amount of variability in the genotypes. The magnitude of GCV and PCV recorded highest for economic yield, plant height, time of beginning of flowering, number of branches, test weight, days to 50% flowering. High heritability coupled with high genetic advance as percent mean was recorded for economic yield, plant height, time of beginning of flowering, test weight, number of branches, days to 50% flowering, days to 80% maturity. Seed yield per plant showed a highly significant positive correlation with test weight and days to 80% maturity at both the genotypic and phenotypic levels. Path analysis revealed that test weight and time of beginning of flowering registered high and positive direct effect on seed yield per plant. It suggests that there is a true relationship between these traits, and that direct selection for these traits will be beneficial for yield improvement.

Association and path analysis studies for yield contributing and fibre quality traits in the F1 population of Gossypium hirsutum L.

The present investigation on correlation and path analysis studies helps to study the relationship among the yield and yield contributing traits along with the quality parameters. The observations were taken in the F1 population of 35 hybrids along with lines (7 lines) and testers (5 testers) for the traits viz. plant height (cm), number of sympodial branches per plant, the number of bolls per plant, boll weight (g), lint index (g), single cotton yield per plant (g), ginning outturn (%), upper half mean length (cm), elongation percent (%) and micronaire value (µg per inch). The results revealed that seed cotton yield per plant had strong and positive association with the traits namely number of sympodial branches per plant (0.646), number of bolls (0.633) and boll weight (0.652). Path analysis study revealed that number of sympodial branches per plant (1.5396), boll weight (0.6285), lint index (1.3526) and upper half mean length (0.3392) had high direct positive effects on single plant yield and indirect very high positive effects through the traits viz., number of sympodial branches per plant via., number of bolls per plant (1.5125) and boll weight (1.0121). Hence selection based on these traits that are positively associated and direct positive effect with the yield would produce the best outcome in the genotypes in further breeding programmes.

The use of UAS-based high throughput phenotyping (HTP) to assess sugarcane yield

A sensor mounted on an unmanned aerial system (UAS) may enable breeding programs’ selection efficiency. The objectives of this study were to investigate the use of UAS with red, green, and blue (RGB) camera to assess sugarcane yield and to investigate the direct and indirect influences of canopy features on cane yield of sugarcane. A trial was conducted from 2019 to 2021 at the Texas A&M AgriLife Research and Extension Center in Weslaco, Texas, and arranged in a complete randomized block design, consisting of 7 genotypes with 4 replications. Seven UAS image acquisitions were performed at the plant cane stage using an RGB sensor. At the first ratoon stage, five flights were conducted using RGB and multispectral sensors. Ground measurements were obtained, including pol, tons of sugar per hectare (TSH), and tons of cane per hectare (TCH). The results showed that the correlation of canopy features with pol at the elongation phase was poor, compared to those acquired at the maturity phase. Likewise, the most significant correlations between canopy features with TSH and TCH were found in the late elongation to maturity phase. In addition, a good agreement of the validation dataset between the observed and predicted pol (R2 0.58, RMSE 0.77%), TSH (R2 0.68, RMSE 2.24 Mg ha−1), and TCH (R2 0.66, RMSE 13.64 Mg ha−1) was observed. The canopy height model (CHM) and Normalized Difference Vegetation Index (NDVI) had the highest direct effect on TCH. Therefore, assessing sugarcane yield using UAS-based imagery looks promising for High Throughput Phenotyping (HTP) in sugarcane breeding programs.

Morpho-agronomic variability, traits association and path analysis in Rosemary (Salvia rosmarinus Schleid.) genotypes from Ethiopia

Forty-five rosemary genotypes collected from different parts of Ethiopia were evaluated for quantitative morphological traits to estimate the genetic variability, heritability and association of characters. The genotypes displayed significant differences for all of the studied traits, showing the presence of wide variability among the tested genotypes. The genotypic and phenotypic coefficients of variation were found to be medium and high for all growth and yield traits except for leaf length. Moderately high to high broad-sense heritability (0.66 -0.97) coupled with moderate to high genetic advance as a percent of the mean (10.37 -79.14) values were found for all traits. Correlation coefficient and path coefficient analysis revealed that characters vis. branch number plant-1, fresh leaf weight plant-1, dry leaf weight plant-1, fresh leaf yield ha-1, and essential oil content had a high positive direct effect and significant positive association with essential oil yield ha-1. Thus direct selection for these traits would be quite effective for essential oil yield enhancement in rosemary. In general, the studied accessions were diverse in nature and could be exploited in the conservation, breeding and commercialization of the crop.

Assessment of Genetic Variability, Character Association and Path Analysis for Yield and Quality Traits in Zinc and Iron Rich Landraces of Rice

Background: Rice is the staple food for billions of people globally and contains numerous essential nutrients. Among the nutrients, zinc and iron are vital for several growth metabolisms in plants and humans. Therefore, deficiency of these nutrients causes hidden hunger. However, understandingthe genetic variability of rice germplasm is required for improvement of grain yield, yield contributing and nutritional traits. The present study aimed to examine the variability, heritability, character association and path analysis in zinc and iron-rich rice landraces. Methods: The present investigation was carried out with 37 genotypes of rice in a randomized block design with two replications during Kharif-2021 at Regional Agricultural Research Station (RARS), Maruteru. Result: The studies on variability, heritability and genetic advance as percent mean results revealed moderate GCV and PCV coupled with high heritability and genetic advance as percent mean recorded for days to 50 per cent flowering, plant height, zinc content, iron content and grain yield plant-1 indicating scope for simultaneous improvement of these traits along with grain yield plant-1. Character associations and path analysis revealed positive and significant association coupled with a high positive direct effect for grains panicle-1, zinc content and productive tillers plant-1, indicating the effectiveness of direct phenotypic selection for these traits in the improvement of grain yield plant-1.

Exploration of Genetic Variability and Trait Association in High Protein Landraces of Rice (Oryza sativa L.)

The present investigation was carried out at the Indian Institute of Rice Research farm, ICRISAT, Hyderabad with 31 genotypes of rice in a randomized block design with three replications, and observations were recorded on grain yield, yield components and quality characters. Analysis of variance revealed significant differences among the genotypes for all characters studied. The studies on variability, heritability and genetic advance as per cent mean thus revealed high GCV and PCV for grains panicle-1 and iron content. High heritability coupled with high genetic advance as per cent mean was recorded for plant height, ear bearing tillers plant-1, grains panicle-1, grain yield plant-1 and iron content indicating, the effectiveness of simple selection for improvement of these traits. The results on character associations and path analysis revealed positive and significant association coupled with high positive direct effect for ear bearing tillers plant-1, panicle length, grains panicle-1, and amylose content indicating the effectiveness of direct selection for these traits in the improvement of grain yield plant-1. However, for test weight, days to 50 percent flowering, plant height, head rice recovery (%), and zinc content, indirect effects seemed to be the cause of correlation, while for days to maturity, protein and iron content, the use of restricted simultaneous selection model is suggested with restrictions imposed for nullifying the undesirable indirect effects in order to make use of the high positive direct effect observed for these traits on grain yield plant-1.

Path analysis and Principal component analysis for seedling and reproductive stage salinity tolerance in rice (Oryza sativa L.)

The present investigation was carried out to determine the relationship and genetic diversity among 76 rice germplasm using principal component analysis and path analysis at both seedling and reproductive stage salinity tolerance. Principal Component Analysis (PCA) was utilized to estimate the relative contribution of various traits for total variability. During seedling stage, the first two principal components together accounted for 78.92% of the variability. The PC1 and PC2 showed eigen value more than 1 and contributed 46.83 and 18.59 percent of variability respectively. During reproductive stage,the first three components were found to have eigen value more than 1.00 and contributed 40.58, 17.80 and 13.65 per cent of variability. All the three PC’s accounted for 81.31% of the total variability. Path analysis revealed that high direct effects was exhibited by shoot Na+ concentration at seedling stage; and similarly, high direct effects was exhibited by number of productive tillers, number of grains per panicle at reproductive stage. Hence, selection based on these characters would be more effective to meet higher grain yield. The residual effect under path analysis was very low and negligible.

Path Analysis Studies in Okra [Abelmoschus esculentus (L.) Moench

The experiment was evaluated with thirty two okra genotypes in Randomized Block Design (RBD) with two replications. Thirteen characters were measured for randomly selected plants for path analysis. Path analysis studies revealed high direct effect of days to initiation for first flowering, number of branches per plant, fruit length, weight of fruit and number of fruits per plant also recorded desirable direction with yield. Hence, the genotypes which exhibited better performance for these characters can be used in further improvement of okra.

Correlation and Path Analysis Studies for Yield and Quality Traits of Rice Landraces and Mutants of Chhattisgarh, India

Background: The production of rice needs to grow as this is one of the major objective in plant improvement program to fulfill the requirement of the rapidly growing population.
 Objective and Methods: The field experiment was conducted to study character association among yield and its attributes among 58 rice genotypes at Indira Gandhi Krishi Vishwavidyalaya, College of Agriculture, Raipur (C.G.) to know the relationship among characters.
 Results: it is found out that Traits like panicle weight per plant, filled spikelets per panicle, harvest index, and biological yield per plant are having a high direct effect and significant correlation with grain yield per plant, and traits like milled grain length-width ratio, hulling %, and alkali spreading value are having a high direct effect and significant correlation with head rice recovery.
 Conclusions: Direct selection based on these traits for improvement of rice grain yield and grain quality can be effective.

Studies on Inter-Relationship and Path Coefficient Analysis for Seed Yield/Plant and Qualitative Traits in Indian mustard (Brassica juncea L. czern and cos)

The present investigation was carried out with ten Indian mustard genotypes in biochemistry laboratory of ICAR-DRMR, Bharatpur, during 2021-22. Analysis of oil, fatty acid profiling and estimation of glucosinolate was done to study the inter-relationship and path coefficient analysis between seed yield and among all nine qualitative traits taken. It is found that the genotypic correlation was higher than phenotypic correlation due to genetic effect. The positive correlation of seed yield/plant is associated at both phenotypic and genotypic levels with palmitic acid, linoleic acid, oleic acid, stearic acid and linolenic acid whereas negatively associated with glucosinolate, erucic acid and eicosenoic acid. Oleic acid was positively correlated with linoleic acid. Path coefficient analysis studies revealed that the high positive direct effect on seed yield/plant was exhibited by linoleic acid, linolenic acid and stearic acid while negative direct effect by erucic acid, glucosinolate, oil and eicosenoic acid on seed yield/plant. Selection of the plants based on these traits would certainly leads to improvement in seed yield.

Genetic variation and trait association of maize hybrids under irrigated and drought-stress environments

Drought stress is the principal cause of production losses in maize (Zea mays L.), especially in a rainfed ecosystem. Reducing the yield penalty of maize under stress conditions demands the development of hybrids with improved tolerance to drought stress. The extent of genetic variability and association among the traits over yield under irrigated and water stress conditions of  72 hybrids were studied. The analysis of variation reveaeds that significant variability was observed among the hybrids under stress conditions, which provides the scope for identifying drought-tolerant hybrids. The average yield reduction was 60.26 per cent under drought stress in this study and the ASI increased by 56.20 per cent. Under stress, high GCV was observed for ASI (36.74 %), plot yield (31.96 %), leaf rolling (29.65 %), leaf senescence (27.79 %) and ears per plant (24.40%) Furthermore, the traits such as plant height (0.95), leaf width (0.83), number of leaves (0.68), ear height (0.67), plot yield (0.64) and ears per plant (0.61) found to have high heritability under drought stress condition.. The correlation studies revealed that yield is harmonized positively with all the yield attributes and negatively associated with Anthesis silking interval (ASI). Moreover, path coefficient analysis suggests that ears per plant and number of kernels per row are the essential secondary traits exhibits high positive direct effect on yield. Thus, the consideration of traits with a significant effect on yield coupled with high heritability will be helpful in selecting a potential drought-tolerant hybrids. Keywords :  Maize, drought, heritability, yield, path coefficient

Assessment of genetic variability, correlation and path analysis in sesame (Sesamum indicum L.)

The present study was attempted with thirty-eight genotypes including three checks(GT-10, TKG-22, JTS-08). The experiment was carried out in randomized block design in three replications to evaluate variability, association between various economic traits, direct and indirect effect of different characters on yield. The observations were recorded for days to 50 percent flowering, productive branches, plant height (cm), height of 1st capsule bearing node (cm), number of capsules per plant, number of seeds per capsule, capsule length(cm), inter node length (cm), days to maturity, 1000-grain weight (g), percentage of oil and yield (g/plant). Analysis of variance revealed significant differences among the genotypes for all the characters. The magnitude of phenotypic coefficient of variance (PCV) and genotypic coefficient of variance (GCV) was larger for yield, number of productive branches, height of first capsule bearing node and number of capsule/plant and inter-node length. Genetic advance as per cent of mean for yield, number of productive branches, height of first capsule bearing node, number of capsules per plant and internode length were higher in sesame genotype. Correlation coefficient exhibited significant and high positive correlation for number of productive branches, number of capsules per plant and number of seeds per capsule and maturity. Path analysis indicated that the trait number of seeds per capsule, number of productive branches and number of capsules per plant had high direct positive effect on grain yield. These traits to be given due importance in the sesame improvement programme.

Association and path analysis for agro-morphological traits among diverse wheat (Triticum aestivum L.) germplasm lines for Northern Hill Zone under rainfed conditions

The present investigation entitled ‘Genetic diversity analysis for agro-morphological traits and disease resistance under rainfed conditions in wheat (Triticum aestivum L.)’ was conducted at Rice and Wheat Research Centre, Malan and the Molecular Cytogenetics & Tissue Culture Laboratory of the Department of Genetics and Plant Breeding, CSK HPKV, Palampur. The objectives were to assess the diversity amongst wheat genotypes using various agro-morphological traits and molecular markers, and screening of genotypes for disease resistance at seedling (yellow rust and brown rust) and adult plant (yellow rust and powdery mildew) stage. The experimental material comprised of 36 wheat genotypes along with four checks viz., HPW 368 (Him Palam Gehun 2), HS 562, Agra Local and LWH (Local Wheat Hango) were evaluated for different agro-morphological traits in α-Randomized Block Design with three replications during rabi 2021-22. Sufficient genetic variability was observed for all the traits viz., days to 50% flowering, flag leaf area, peduncle length, plant height, tillers per plant, grains per spike, 1000-grain weight, biological yield per plant, grain yield per plant and harvest index except days to maturity, suggesting the scope of selection for these traits. Grain yield per plant showed significant and positive correlation with flag leaf area, tillers per plant, grains per spike, 1000-grain weight, biological yield per plant and harvest index. Also, biological yield per plant and harvest index were observed as the best selection indices for increasing grain yield owing to high direct and indirect effects of these traits in path analysis. This study suggests that biological yield per plant and harvest index can be used as selection criteria in breeding study to improve the high yielding wheat genotypes.

Agricultural Information and Communication Center in Disseminating Agricultural Information in Bangladesh: Effects, Problems and Suggestions

The government of Bangladesh established Agricultural Information and Communication Centre (AICC) to communicate with mass farmers quickly. This paper aimed at analyzing the direct and indirect effects of farmers selected characteristics on the effectiveness of AICC in disseminating agricultural information and identifying problem faced by the farmers in getting service from AICC and probable suggestions to overcome identified problems. Data were collected from randomly selected 90 farmers of Faridpur district, Bangladesh using a pre-tested interview schedule. Path analysis was applied to assess the direct and indirect effects of farmers’ selected characteristics on the effectiveness of AICC. On the other hand, Problem Faced Index (PFI) and Frequency of response was used to identify problem and suggestions. The analysis showed that farmers’ use of ICT had the highest direct effect (0.345) in the positive direction followed by ICT using experience (0.245) and ICT using confidence (0.237) on the effectiveness of AICC. The other variables have direct and indirect effects were ICT using confidence and ICT using experience. Limited availability of ICT tools and technology in AICC were most severe problem followed by technical problems of different ICT based media in AICC and low bandwidth speed of internet. The study provided suggestions to increase the efficiency of the AICC in communicating agricultural information.

Characters Association and Path Coefficient Analysis among Quantitative Traits of Chrysanthemum (Dendranthema×Grandiflora Tzvelev)

The present experiment was carried out under naturally ventilated polyhouse at the experimental farm of Division of Flower and Medicinal Crops, ICAR-Indian Institute of Horticultural Research, Bengaluru, Karnataka, India for two years during 2019 (August-November) and 2020 (August-December) The experiment was laid out in completely randomized design (CRD) with three replications under naturally ventilated polyhouse. Analysis of variance showed significant differences among genotypes for all the traits. Results revealed that the days to optimum flowering exhibited positive and significant correlation with plant height (0.599), days to bud initiation (0.628), days to first flower opening (0.985) and flowering duration (0.571), whereas, positive significant correlation with flower diameter (0.324). The results of path coefficient analysis using correlation coefficients revealed that days to first flower opening (1.033) exhibited positive and very high direct effect on days to optimum flowering while, number of leavesplant-1 (0.040), days to bud initiation (0.056), flower diameter (0.025) and flower duration (0.022) showed positive and negligible direct effect. Therefore, the selection on the basis of traits viz., plant height, days to bud initiation, days to first flower opening, flower duration and flower diameter will be more effective for improvement of the flowering traits in chrysanthemum breeding.

Estimation of path coefficient analysis for some quantitative traits in Rice ( Oryza sativa L.) genotypes

A field experiment was conducted at the Al Mushkab Rice Research Station (AMRR), Najaf, Iraq, during the rice growing season of 2018-2019 in Randomized Complete Block Design (RCBD) for the aim of estimating the path coefficient in 15 introduced and local genotypes of rice. The path coefficient was estimated for the number of days from planting to 50% flowering, the number of days from flowering to physiological maturity, plant height, leaf area index, number of branches/panicle, number of panicles / m2, number of grains/panicles, infertility percentage (sterility %), 1000 grains weight (gm), biological yield (kg. ha -1) and harvest index (HI %) with grain yield kg, ha. -1. The results of the study concluded that the trait of harvest index is an effective selection criterion for improving Rice grain yield because it achieved the highest overall positive effect, i.e., the highest positive genotypic correlation amounted to 0.761, and this trait also achieved a high direct positive effect on grain yield amounted to 0.83833. Keywords: Rice, Genotypes, Path Coefficient, Harvest Index