<div>Background:&nbsp;Cotton is globally important crop valued for its single cell trichome called fibre. Cotton fibre is popularly called as white gold or king of fibre crops. Cotton fibre or seed cotton yield per plant is the economically important traits which is dependent other yield attributing traits and also influenced by the fibre quality traits. So present study was focused on the association of yield and yield attributing and fibre quality traits. 
 
Methods:&nbsp;An experiment was conducted at College of Agriculture, Vijayapur campus during late kharif season during 2020-21 to evaluate 145 advanced breeding lines of desi cotton along with checks using augmented design in 7 blocks for yield and yield attributing traits. The material used in the study was developed by College of agriculture, Dharwad at Department of Genetics and Plant Breeding. Correlation and path coefficient analysis was conducted for twelve yield and fibre quality traits. 
 
Result:&nbsp;Significant positive correlation of seed cotton yield per plant with boll weight, number of bolls per plant, ginning outturn and fibre fineness was reported, whereas negative significant correlation was reported by days to 50% flowering with seed cotton yield per plant. Path analysis revealed that highest positive direct effect on seed cotton yield per plant was shown by number of bolls per plant followed by boll weight and highest negative direct effect was shown by fibre fineness. Highest indirect effect on seed cotton yield per plant was contributed by. ginning outturn. The traits that are significantly positively correlated and having positive effect on seed cotton yield play a major role in the selection of high yielding seed cotton genotypes.</div>

Correlation Coefficients and Path Coefficient Analysis of Yield and Yield Attributing Traits in Desi Cotton (Gossypium herbaceum)

Background: Perilla [Perilla frutescens (L.) Britton] commonly known as Bhangjeera, belongs to family Lamiaceae, is an annual plant contains significant phyto-constituents. This is traditionally used as an herbal medicine to treat various disorders. Despite the Perilla&rsquo;s huge potential, no concerted attempts have been undertaken to diversify for selection of parents in genetic improvement programme both globally and in our country. 
 
Methods: The experiment was arranged in a Latin square design with three replications on the experimental farm. Data were collected from five randomly selected plants in each plot, excluding border plants. The mean values were analyzed statistically to determine the analysis of variance for all the traits to decipher the nature and magnitude of genetic variability and other genetic parameters in Perilla. 
 
Result: The studies shows significant variation among the studied genotypes for all characters. Among the studied germplasm, PF 7 was found to be superior for most of oil yielding related traits followed by PF4 and PF2. All characters showed high heritability accompanied by low to high genetic advance as percent of mean. These characters showed medium to high GCV and PCV. Genotypic correlation co-efficient were found to be higher than their corresponding phenotypic ones. Path coefficient analysis revealed positive direct effect of plant height, length of petiole, leaf breath, stem girth, length of inflorescence and total phenolic content on seed oil yield. The direct selection for these traits will be beneficial in yield improvement program. Therefore, it was suggested that tall and bushy plants with thick stem with long inflorescence are likely to produce high seed oil yield with unsaturated fatty acids, beneficial for human health. 
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Genetic Variability, Correlation Coefficient and Path Coefficient Analysis among Perilla frutescens (L.) Britton Germplasm for Seed Oil Yield Related Traits in Uttarakhand, India

<div>Background: The corriedale sheep breed was imported into J and K during sixties for use in improvement of local sheep and are maintained at Mountain Research Station of Sheep and Goat, SKUAST- K. The animals over the years were allowed to mate within the selected animals of the flock as there was hardy any fresh importation of exotic animals from last 49 years due to which closed flock population was established within the farm. This has led to apprehensions over the loss of genetic diversity through years. 
 
Methods: The present study was to undertaken to evaluate the performance of Corriedale sheep under temperate climate and to estimate the inbreeding coefficient and its effect on growth and fitness traits of Corriedale sheep maintained at Mountain Research Centre for Sheep and Goat (MRCSG), F.V.Sc and A.H, SKUAST-K Shuhama, Kashmir. The information on performance and pedigree spanning over a period of 49 years (1969-2017) was collected and utilized for the study. The traits studied were birth weight (BW), weaning weight (WW), 6 months weight (6MW), 9 months weight (9MW) and 12 months weight (12MW) age at first lambing (AFL), litter size (LS), total lambs born per ewe (TLB) and survival rate (SR).&nbsp; 
 
Result: The averages estimates for BW, WW, 6MW, 9MW, 12MW, AFL, LS, TLB and SR were 3.72&plusmn;0.01 kg, 13.31&plusmn;0.07 kg, 18.65&plusmn;0.05kg, 22.15&plusmn;0.04 kg, 25.84&plusmn;0.06 kg 807.20&plusmn;4.34 days, 1.08&plusmn;0.00, 4.83&plusmn;0.03 and 80.76&plusmn;1.98, respectively. The overall inbreeding coefficient (F) and proportion of population inbred (per cent) for Corriedale sheep were 18.3 and 43.3, respectively. The increased inbreeding coefficient had negative impact and highly significant (p&lt;0.01) on all the traits under study except LS. The increased inbreeding coefficient (F) also had a negative impact on all the traits under study. With increase in the level of inbreeding there was a decrease in total body weight traits, lambs born per ewe and survival rate where as age at first lambing was increasing with the increase. he results indicated as decrease of 0.25 kg, 1.45 kg, 5.04 kg, 5.53 kg and 5.48 kg in body weight of the animals at birth, weaning weight, six months, nine months and twelve months from 1969-2017. To overcome the negative impact of inbreeding coefficient in the flock introduction of genetic variability through importation of Corriedale germplasm into the farm is highly recommended.</div>

Effect of Inbreeding Coefficient on Growth and Fitness Traits in a Closed Flock of Corriedale Sheep

<div>Background: Most of the plant characters are governed by polygenes and greatly influenced by environmental conditions. The progress of breeding is conditioned by the magnitude, nature and interrelationship of genotypic and non-genotypic variation. In most of the crop improvement programs, the improvement of one trait may cause advancement or deterioration in associated traits serves to emphasize the need for simultaneous consideration of all traits which determine the economic value of a genotype.&nbsp; 
 
Methods: The present investigation was undertaken for Indian bean [Lablab purpureus (L.) Sweet] to construct efficient selection indices for selecting best progenies. The experiment was conducted with 55 progenies with checks GNIB-21 and GNIB-22 in randomized block design (RBD) with 3 replications. An attempt was made to build a selection index by taking 3 different type of economic weights viz. equal weight [W1], genotypic correlation coefficients [W2] and genotypic path coefficients (Direct effect) [W3].&nbsp; 
 
Result: It has been seen that genetic gain of Indian bean of selected progenies observed higher with equal weight method as compared to weight assigned method with genotypic correlation coefficients and genotypic path coefficients (Direct effect). It has been concluded that the selection of progeny based on seed yield per plant, plant height, pod width and days to maturity provide higher genetic gain in Indian bean.</div>

​Construction of Selection Indices by using Different Economic Coefficients in Indian Bean [Lablab purpureus (L.) Sweet]

<div>Background: Okra [Abelmoschus esculentus (L) Moench] is an important vegetable crop widely grown in tropical and subtropical parts of the world. Okra is high yielding crop under a good cropping system. However, its yield potential has been grossly affected by poor cropping system, use of crude implement, poor soil and insect pest infestation. For improving okra through conventional breeding and selection, it is essential to have adequate knowledge of association that exists between yield and yield related characters for the identification of selection procedure. The knowledge of such mutual relationship between fruit yield and its contributing components can significantly improve the efficiency of a breeding programme through the use of appropriate selection indices.&nbsp;&nbsp; 
 
Methods: A study of correlation and path analysis was undertaken in 18 genotypes of okra for fruit yield and its component traits at Vegetable Research Centre, Banda University of Agriculture and Technology, Banda, (U.P) during summer and rainy season-2019.&nbsp; 
 
Result: It was observed that during summer season fruit yield per plant was positively and significantly correlated with leaf area, number of primary branches per plant and number of fruits per plant and in rainy season plant height, number of nodes and number of fruits per plant showed positive and significant association with fruit yield per plant at genotypic and phenotypic level. During both the season it was observed that estimates of genotypic correlation coefficients were in most cases higher than their corresponding phenotypic correlation coefficients. In the present study during summer season leaf area (0.760) had maximum direct contribution towards fruit yield per plant followed by number of fruits per plant (0.447). However, days to opening first flower exhibited highest negative direct effect (-1.109). During rainy season leaf area (3.274) had maximum direct contribution towards fruit yield followed by days to opening first flower (2.828). However, days to first harvesting (-4.630) exhibited highest negative direct effect. The study suggested that the improvement in yield per plant will be efficient if the selection is based on leaf area, number of fruits per plant, plant height, number of branches per plant and number of nodes per plant.</div>

​Studies on Interrelationship and Path Coefficient Analysis in Okra [Abelmoschus esculentus (L.) Moench]

<div style="text-align: justify;">Thirty wheat genotypes (Triticum aestivum L.) were evaluated for 11 morphological and yield trait for analysis of character association (phenotypic and genotypic correlation coefficient), path analysis and cluster analysis. The experiment was conducted during rabi seasons of 2014-2015 in a randomized block design with three replication. Days to 50% heading showed positive and significant correlation with &nbsp;flag leaf area and number of spiklet per ear; flag leaf area showed positive and significant correlation with 1000 grain weight; Plant height &nbsp;showed positive and significant correlation with &nbsp;spike length; spike length &nbsp;showed positive and significant correlation with &nbsp;1000 grain weight. Phenotypic path analysis showed &nbsp;biological yield and number of grain per spike had highly positive and direct effect on grain yield. Direct and highly positive effect on grain yield was shown by number of productive tillers, plant height, spike length, number of spikelet per spike genotypic path coefficient. Biological yield and grains yield per plant show highly positive and direct effect on yield with number of productive tillers, plant height, number of spikelet per spike and spike length. In &nbsp;cluster analysis the intra cluster distance ranged from 1.61 (cluster II) to 2.37 (cluster III and VI ). Thus the member of cluster II were &nbsp;least divergent and similarly the &nbsp;member of cluster III and IV were most divergent &nbsp;The maximum inter cluster distance was between cluster II and III followed by cluster IV &nbsp;and V , cluster VI and &nbsp;III and cluster VI and &nbsp;V that order therefore the accessions grouped in the five pair of cluster may be considered as most divergent.</div>

Evaluation of wheat genotypes (Triticum aestivum L.) for assessment of character association, path coefficient and cluster analysis

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.&nbsp;&nbsp;

Character Association and Path Coefficient Analysis in Indian Mustard (Brassica juncea L.)

The present investigation was carried out using thirty two pigeonpea genotypes during kharif 2013-14 to obtain the knowledge of correlation, path coefficient analysis for the yield components and genetic divergence. The range of GCV was observed from 9.81 to 40.88% for the traits under study which provides information regarding the extent of variability present among the genotypes. Seed yield was significantly and positively correlated with number of secondary branches/plant, pods/plant and 100-seed weight. Path coefficient analysis indicated that number of secondary branches exhibited maximum direct effect followed by number of pods/plant and 100 seed weight. The genotypes were grouped into eight different clusters based on Mahalonobis D2 statistics. Clusters II and III exhibited maximum inter cluster distance of 8.80. Days to 50% flowering contributed to maximum genetic divergence followed by seed yield. Genotypes in cluster III recorded highest mean value for days to maturity, number of secondary branches and seed yield.

Genetic divergence, correlation and path coefficient analysis for&nbsp;the yield components of pigeonpea genotypes

Studies on character association and path-coefficient analysis were conducted on forty three rice genotypes including thirty hybrids and thirteen parents for grain quality traits on grain yield. Analysis of variance revealed considerable variability among the genotypes for all the characters studied. The correlation analysis indicated that grain yield was significantly associated with kernel breadth, breadth wise expansion ratio and water uptake at genotypic level. Results of path-coefficient analysis revealed linear elongation ratio had the highest positive direct effect on grain yield followed by breadth wise expansion ratio, gel consistency, kernel L/B ratio and alkali spreading value. This study revealed that genetic improvement of grain quality in rice is admissible by selecting characters having high positive correlation and positive direct effect on grain yield.

Correlation and path coefficient analysis of grain quality traits&nbsp;in Rice (Oryza sativa L.)

<div style="text-align: justify;">In this paper, six drip lateral design methods were selected and a comparative assessment was done to find its practical applicability for finding accurate uniformity coefficient. Step-By-Step (SBS) method, Differential method (DM), Constant Discharge method (CDM), Variable discharge method (VDM), Outlet variation method (OVM) and Statistical method (STM) were the different methods assessed. The percentage relative error in calculating the uniformity coefficient by different methods were obtained as the difference between step-by-step method (true) value and alternate method (observed) value. These errors were tabulated. VDM and OVM method performed well with equal accuracy to SBS method at different slopes. For L=250m, DM method performed well. The STM performed good for down slope and lateral length of 250m with 6 per cent relative error. The method having lesser relative percentage error can be selected by the design engineers for designing the laterals from the relative percentage error tables.</div>

Correlation Coefficients and Path Coefficient Analysis of Yield and Yield Attributing Traits in Desi Cotton (Gossypium herbaceum)

Genetic Variability, Correlation Coefficient and Path Coefficient Analysis among Perilla frutescens (L.) Britton Germplasm for Seed Oil Yield Related Traits in Uttarakhand, India

Effect of Inbreeding Coefficient on Growth and Fitness Traits in a Closed Flock of Corriedale Sheep

Construction of Selection Indices by using Different Economic Coefficients in Indian Bean [Lablab purpureus (L.) Sweet]

Studies on Interrelationship and Path Coefficient Analysis in Okra [Abelmoschus esculentus (L.) Moench]

Evaluation of wheat genotypes (Triticum aestivum L.) for assessment of character association, path coefficient and cluster analysis

Character Association and Path Coefficient Analysis in Indian Mustard (Brassica juncea L.)

Genetic divergence, correlation and path coefficient analysis for the yield components of pigeonpea genotypes

Correlation and path coefficient analysis of grain quality traits in Rice (Oryza sativa L.)

Assessment of drip lateral design methods based on uniformity coefficient